Mock Version: 1.2.15
Mock Version: 1.2.15
ENTER do(['bash', '--login', '-c', '/usr/bin/rpmbuild -bs --target x86_64 --nodeps /builddir/build/SPECS/scipy.spec'], chrootPath='/var/lib/mock/cloud7-openstack-common-el7-build-25800-36367/root'shell=FalseprintOutput=Falseenv={'LANG': 'en_GB', 'TERM': 'vt100', 'SHELL': '/bin/bash', 'PROMPT_COMMAND': 'printf "\x1b]0;<mock-chroot>\x07<mock-chroot>"', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'HOME': '/builddir', 'HOSTNAME': 'mock'}gid=135user='mockbuild'timeout=86400logger=<mockbuild.trace_decorator.getLog object at 0x21c5250>uid=497)
Executing command: ['bash', '--login', '-c', '/usr/bin/rpmbuild -bs --target x86_64 --nodeps /builddir/build/SPECS/scipy.spec'] with env {'LANG': 'en_GB', 'TERM': 'vt100', 'SHELL': '/bin/bash', 'PROMPT_COMMAND': 'printf "\x1b]0;<mock-chroot>\x07<mock-chroot>"', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'HOME': '/builddir', 'HOSTNAME': 'mock'} and shell False
Building target platforms: x86_64
Building for target x86_64
Wrote: /builddir/build/SRPMS/scipy-0.18.0-3.el7.src.rpm
Child return code was: 0
LEAVE do --> 

ENTER do(['bash', '--login', '-c', '/usr/bin/rpmbuild -bb --target x86_64 --nodeps  /builddir/build/SPECS/scipy.spec '], chrootPath='/var/lib/mock/cloud7-openstack-common-el7-build-25800-36367/root'shell=Falseuid=497env={'LANG': 'en_GB', 'TERM': 'vt100', 'SHELL': '/bin/bash', 'PROMPT_COMMAND': 'printf "\x1b]0;<mock-chroot>\x07<mock-chroot>"', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'HOME': '/builddir', 'HOSTNAME': 'mock'}gid=135user='mockbuild'timeout=86400private_network=Truelogger=<mockbuild.trace_decorator.getLog object at 0x21c5250>printOutput=False)
Executing command: ['bash', '--login', '-c', '/usr/bin/rpmbuild -bb --target x86_64 --nodeps  /builddir/build/SPECS/scipy.spec '] with env {'LANG': 'en_GB', 'TERM': 'vt100', 'SHELL': '/bin/bash', 'PROMPT_COMMAND': 'printf "\x1b]0;<mock-chroot>\x07<mock-chroot>"', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'HOME': '/builddir', 'HOSTNAME': 'mock'} and shell False
Building target platforms: x86_64
Building for target x86_64
Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.j29Z7F
+ umask 022
+ cd /builddir/build/BUILD
+ cd /builddir/build/BUILD
+ rm -rf scipy-0.18.0
+ /usr/bin/xz -dc /builddir/build/SOURCES/scipy-0.18.0.tar.xz
+ /usr/bin/tar -xf -
+ STATUS=0
+ '[' 0 -ne 0 ']'
+ cd scipy-0.18.0
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w .
+ cat
+ exit 0
Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.wH3PxY
+ umask 022
+ cd /builddir/build/BUILD
+ cd scipy-0.18.0
+ env 'CFLAGS=-O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches   -m64 -mtune=generic' 'FFLAGS=-O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches   -m64 -mtune=generic -fPIC' ATLAS=/usr/lib64/atlas FFTW=/usr/lib64 BLAS=/usr/lib64 LAPACK=/usr/lib64 /usr/bin/python2 setup.py config_fc --fcompiler=gnu95 --noarch build
lapack_opt_info:
openblas_lapack_info:
  libraries openblas not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
  NOT AVAILABLE
lapack_mkl_info:
  libraries mkl_rt not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
  NOT AVAILABLE
atlas_3_10_threads_info:
Setting PTATLAS=ATLAS
  libraries lapack_atlas not found in /usr/lib64/atlas
<class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
Setting PTATLAS=ATLAS
customize Gnu95FCompiler
Found executable /usr/bin/gfortran
customize Gnu95FCompiler
customize Gnu95FCompiler using config
compiling '_configtest.c':
/* This file is generated from numpy/distutils/system_info.py */
void ATL_buildinfo(void);
int main(void) {
  ATL_buildinfo();
  return 0;
}
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-c'
gcc: _configtest.c
gcc -pthread _configtest.o -L/usr/lib64/atlas -ltatlas -ltatlas -o _configtest
ATLAS version 3.10.1 built by mockbuild on Fri Nov 20 05:32:04 UTC 2015:
   UNAME    : Linux worker1.bsys.centos.org 2.6.32-220.17.1.el6.x86_64 #1 SMP Wed May 16 00:01:37 BST 2012 x86_64 x86_64 x86_64 GNU/Linux
   INSTFLG  : -1 0 -a 1 -l 1
   ARCHDEFS : -DATL_OS_Linux -DATL_ARCH_Corei1 -DATL_CPUMHZ=2394 -DATL_SSE3 -DATL_SSE2 -DATL_SSE1 -DATL_USE64BITS -DATL_GAS_x8664
   F2CDEFS  : -DAdd_ -DF77_INTEGER=int -DStringSunStyle
   CACHEEDGE: 4194304
   F77      : /usr/bin/gfortran, version GNU Fortran (GCC) 4.8.5 20150623 (Red Hat 4.8.5-4)
   F77FLAGS : -O -msse3 -g -fstack-protector-strong -Wa,--noexecstack -fPIC -m64
   SMC      : /usr/bin/x86_64-redhat-linux-gcc, version x86_64-redhat-linux-gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-4)
   SMCFLAGS : -fomit-frame-pointer -mfpmath=sse -O2 -fno-schedule-insns2 -msse3 -g -fstack-protector-strong -Wa,--noexecstack -fPIC -m64
   SKC      : /usr/bin/x86_64-redhat-linux-gcc, version x86_64-redhat-linux-gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-4)
   SKCFLAGS : -fomit-frame-pointer -mfpmath=sse -O2 -fno-schedule-insns2 -msse3 -g -fstack-protector-strong -Wa,--noexecstack -fPIC -m64
success!
removing: _configtest.c _configtest.o _configtest
Setting PTATLAS=ATLAS
Setting PTATLAS=ATLAS
Setting PTATLAS=ATLAS
  FOUND:
    define_macros = [('ATLAS_INFO', '"\\"3.10.1\\""')]
    language = f77
    runtime_library_dirs = ['/usr/lib64/atlas']
    libraries = ['tatlas', 'tatlas', 'tatlas', 'tatlas']
    library_dirs = ['/usr/lib64/atlas']
    include_dirs = ['/usr/include']
  FOUND:
    define_macros = [('ATLAS_INFO', '"\\"3.10.1\\""')]
    language = f77
    runtime_library_dirs = ['/usr/lib64/atlas']
    libraries = ['tatlas', 'tatlas', 'tatlas', 'tatlas']
    library_dirs = ['/usr/lib64/atlas']
    include_dirs = ['/usr/include']
Running from scipy source directory.
/usr/lib64/python2.7/site-packages/numpy/distutils/system_info.py:639: UserWarning: Specified path /usr/lib64/python2.7/site-packages/numpy/__init__.pyc/include/python2.7 is invalid.
  warnings.warn('Specified path %s is invalid.' % d)
/usr/lib64/python2.7/site-packages/numpy/distutils/system_info.py:639: UserWarning: Specified path /usr/local/include/python2.7 is invalid.
  warnings.warn('Specified path %s is invalid.' % d)
/usr/lib64/python2.7/site-packages/numpy/distutils/system_info.py:639: UserWarning: Specified path /usr/include/suitesparse/python2.7 is invalid.
  warnings.warn('Specified path %s is invalid.' % d)
ATLAS version: 3.10.1
Splitting linalg.interpolative Fortran source files
blas_opt_info:
blas_mkl_info:
  libraries mkl_rt not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
  NOT AVAILABLE
openblas_info:
  libraries openblas not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
  NOT AVAILABLE
atlas_3_10_blas_threads_info:
Setting PTATLAS=ATLAS
Setting PTATLAS=ATLAS
customize Gnu95FCompiler
customize Gnu95FCompiler
customize Gnu95FCompiler using config
compiling '_configtest.c':
/* This file is generated from numpy/distutils/system_info.py */
void ATL_buildinfo(void);
int main(void) {
  ATL_buildinfo();
  return 0;
}
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-c'
gcc: _configtest.c
gcc -pthread _configtest.o -L/usr/lib64/atlas -ltatlas -o _configtest
ATLAS version 3.10.1 built by mockbuild on Fri Nov 20 05:32:04 UTC 2015:
   UNAME    : Linux worker1.bsys.centos.org 2.6.32-220.17.1.el6.x86_64 #1 SMP Wed May 16 00:01:37 BST 2012 x86_64 x86_64 x86_64 GNU/Linux
   INSTFLG  : -1 0 -a 1 -l 1
   ARCHDEFS : -DATL_OS_Linux -DATL_ARCH_Corei1 -DATL_CPUMHZ=2394 -DATL_SSE3 -DATL_SSE2 -DATL_SSE1 -DATL_USE64BITS -DATL_GAS_x8664
   F2CDEFS  : -DAdd_ -DF77_INTEGER=int -DStringSunStyle
   CACHEEDGE: 4194304
   F77      : /usr/bin/gfortran, version GNU Fortran (GCC) 4.8.5 20150623 (Red Hat 4.8.5-4)
   F77FLAGS : -O -msse3 -g -fstack-protector-strong -Wa,--noexecstack -fPIC -m64
   SMC      : /usr/bin/x86_64-redhat-linux-gcc, version x86_64-redhat-linux-gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-4)
   SMCFLAGS : -fomit-frame-pointer -mfpmath=sse -O2 -fno-schedule-insns2 -msse3 -g -fstack-protector-strong -Wa,--noexecstack -fPIC -m64
   SKC      : /usr/bin/x86_64-redhat-linux-gcc, version x86_64-redhat-linux-gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-4)
   SKCFLAGS : -fomit-frame-pointer -mfpmath=sse -O2 -fno-schedule-insns2 -msse3 -g -fstack-protector-strong -Wa,--noexecstack -fPIC -m64
success!
removing: _configtest.c _configtest.o _configtest
Setting PTATLAS=ATLAS
Setting PTATLAS=ATLAS
Setting PTATLAS=ATLAS
  FOUND:
    define_macros = [('HAVE_CBLAS', None), ('ATLAS_INFO', '"\\"3.10.1\\""')]
    language = c
    runtime_library_dirs = ['/usr/lib64/atlas']
    libraries = ['tatlas', 'tatlas']
    library_dirs = ['/usr/lib64/atlas']
    include_dirs = ['/usr/include']
  FOUND:
    define_macros = [('HAVE_CBLAS', None), ('ATLAS_INFO', '"\\"3.10.1\\""')]
    language = c
    runtime_library_dirs = ['/usr/lib64/atlas']
    libraries = ['tatlas', 'tatlas']
    library_dirs = ['/usr/lib64/atlas']
    include_dirs = ['/usr/include']
non-existing path in 'scipy/sparse': 'sparsetools/sparsetools_impl.h'
non-existing path in 'scipy/sparse': 'sparsetools/bsr_impl.h'
non-existing path in 'scipy/sparse': 'sparsetools/csc_impl.h'
non-existing path in 'scipy/sparse': 'sparsetools/csr_impl.h'
non-existing path in 'scipy/sparse': 'sparsetools/other_impl.h'
running config_fc
unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands --compiler options
running build_src
build_src
building py_modules sources
creating build
creating build/src.linux-x86_64-2.7
creating build/src.linux-x86_64-2.7/scipy
building library "dfftpack" sources
building library "fftpack" sources
building library "mach" sources
building library "quadpack" sources
building library "odepack" sources
building library "dop" sources
building library "fitpack" sources
building library "fwrappers" sources
building library "odrpack" sources
building library "minpack" sources
building library "rootfind" sources
building library "superlu_src" sources
building library "arpack_scipy" sources
building library "sc_c_misc" sources
building library "sc_cephes" sources
building library "sc_mach" sources
building library "sc_amos" sources
building library "sc_cdf" sources
building library "sc_specfun" sources
building library "statlib" sources
building extension "scipy.cluster._vq" sources
building extension "scipy.cluster._hierarchy" sources
building extension "scipy.fftpack._fftpack" sources
creating build/src.linux-x86_64-2.7/scipy/fftpack
creating build/src.linux-x86_64-2.7/scipy/fftpack/src
conv_template:> build/src.linux-x86_64-2.7/scipy/fftpack/src/dct.c
conv_template:> build/src.linux-x86_64-2.7/scipy/fftpack/src/dst.c
f2py options: []
f2py: scipy/fftpack/fftpack.pyf
Reading fortran codes...
	Reading file 'scipy/fftpack/fftpack.pyf' (format:free)
Line #86 in scipy/fftpack/fftpack.pyf:"       /* Single precision version */"
	crackline:2: No pattern for line
Post-processing...
	Block: _fftpack
			Block: zfft
			Block: drfft
			Block: zrfft
			Block: zfftnd
			Block: destroy_zfft_cache
			Block: destroy_zfftnd_cache
			Block: destroy_drfft_cache
			Block: cfft
			Block: rfft
			Block: crfft
			Block: cfftnd
			Block: destroy_cfft_cache
			Block: destroy_cfftnd_cache
			Block: destroy_rfft_cache
			Block: ddct1
			Block: ddct2
			Block: ddct3
			Block: dct1
			Block: dct2
			Block: dct3
			Block: destroy_ddct2_cache
			Block: destroy_ddct1_cache
			Block: destroy_dct2_cache
			Block: destroy_dct1_cache
			Block: ddst1
			Block: ddst2
			Block: ddst3
			Block: dst1
			Block: dst2
			Block: dst3
			Block: destroy_ddst2_cache
			Block: destroy_ddst1_cache
			Block: destroy_dst2_cache
			Block: destroy_dst1_cache
Post-processing (stage 2)...
Building modules...
	Building module "_fftpack"...
		Constructing wrapper function "zfft"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = zfft(x,[n,direction,normalize,overwrite_x])
		Constructing wrapper function "drfft"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = drfft(x,[n,direction,normalize,overwrite_x])
		Constructing wrapper function "zrfft"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = zrfft(x,[n,direction,normalize,overwrite_x])
		Constructing wrapper function "zfftnd"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = zfftnd(x,[s,direction,normalize,overwrite_x])
		Constructing wrapper function "destroy_zfft_cache"...
		  destroy_zfft_cache()
		Constructing wrapper function "destroy_zfftnd_cache"...
		  destroy_zfftnd_cache()
		Constructing wrapper function "destroy_drfft_cache"...
		  destroy_drfft_cache()
		Constructing wrapper function "cfft"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = cfft(x,[n,direction,normalize,overwrite_x])
		Constructing wrapper function "rfft"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = rfft(x,[n,direction,normalize,overwrite_x])
		Constructing wrapper function "crfft"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = crfft(x,[n,direction,normalize,overwrite_x])
		Constructing wrapper function "cfftnd"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = cfftnd(x,[s,direction,normalize,overwrite_x])
		Constructing wrapper function "destroy_cfft_cache"...
		  destroy_cfft_cache()
		Constructing wrapper function "destroy_cfftnd_cache"...
		  destroy_cfftnd_cache()
		Constructing wrapper function "destroy_rfft_cache"...
		  destroy_rfft_cache()
		Constructing wrapper function "ddct1"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = ddct1(x,[n,normalize,overwrite_x])
		Constructing wrapper function "ddct2"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = ddct2(x,[n,normalize,overwrite_x])
		Constructing wrapper function "ddct3"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = ddct3(x,[n,normalize,overwrite_x])
		Constructing wrapper function "dct1"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = dct1(x,[n,normalize,overwrite_x])
		Constructing wrapper function "dct2"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = dct2(x,[n,normalize,overwrite_x])
		Constructing wrapper function "dct3"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = dct3(x,[n,normalize,overwrite_x])
		Constructing wrapper function "destroy_ddct2_cache"...
		  destroy_ddct2_cache()
		Constructing wrapper function "destroy_ddct1_cache"...
		  destroy_ddct1_cache()
		Constructing wrapper function "destroy_dct2_cache"...
		  destroy_dct2_cache()
		Constructing wrapper function "destroy_dct1_cache"...
		  destroy_dct1_cache()
		Constructing wrapper function "ddst1"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = ddst1(x,[n,normalize,overwrite_x])
		Constructing wrapper function "ddst2"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = ddst2(x,[n,normalize,overwrite_x])
		Constructing wrapper function "ddst3"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = ddst3(x,[n,normalize,overwrite_x])
		Constructing wrapper function "dst1"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = dst1(x,[n,normalize,overwrite_x])
		Constructing wrapper function "dst2"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = dst2(x,[n,normalize,overwrite_x])
		Constructing wrapper function "dst3"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = dst3(x,[n,normalize,overwrite_x])
		Constructing wrapper function "destroy_ddst2_cache"...
		  destroy_ddst2_cache()
		Constructing wrapper function "destroy_ddst1_cache"...
		  destroy_ddst1_cache()
		Constructing wrapper function "destroy_dst2_cache"...
		  destroy_dst2_cache()
		Constructing wrapper function "destroy_dst1_cache"...
		  destroy_dst1_cache()
	Wrote C/API module "_fftpack" to file "build/src.linux-x86_64-2.7/scipy/fftpack/_fftpackmodule.c"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
copying /usr/lib64/python2.7/site-packages/numpy/f2py/src/fortranobject.c -> build/src.linux-x86_64-2.7
copying /usr/lib64/python2.7/site-packages/numpy/f2py/src/fortranobject.h -> build/src.linux-x86_64-2.7
building extension "scipy.fftpack.convolve" sources
f2py options: []
f2py: scipy/fftpack/convolve.pyf
Reading fortran codes...
	Reading file 'scipy/fftpack/convolve.pyf' (format:free)
Post-processing...
	Block: convolve__user__routines
			Block: kernel_func
	Block: convolve
			Block: init_convolution_kernel
In: scipy/fftpack/convolve.pyf:convolve:unknown_interface:init_convolution_kernel
get_useparameters: no module convolve__user__routines info used by init_convolution_kernel
			Block: destroy_convolve_cache
			Block: convolve
			Block: convolve_z
Post-processing (stage 2)...
Building modules...
	Constructing call-back function "cb_kernel_func_in_convolve__user__routines"
	  def kernel_func(k): return kernel_func
	Building module "convolve"...
		Constructing wrapper function "init_convolution_kernel"...
		  omega = init_convolution_kernel(n,kernel_func,[d,zero_nyquist,kernel_func_extra_args])
		Constructing wrapper function "destroy_convolve_cache"...
		  destroy_convolve_cache()
		Constructing wrapper function "convolve"...
		  y = convolve(x,omega,[swap_real_imag,overwrite_x])
		Constructing wrapper function "convolve_z"...
		  y = convolve_z(x,omega_real,omega_imag,[overwrite_x])
	Wrote C/API module "convolve" to file "build/src.linux-x86_64-2.7/scipy/fftpack/convolvemodule.c"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.integrate._quadpack" sources
building extension "scipy.integrate._odepack" sources
building extension "scipy.integrate.vode" sources
creating build/src.linux-x86_64-2.7/scipy/integrate
f2py options: []
f2py: scipy/integrate/vode.pyf
Reading fortran codes...
	Reading file 'scipy/integrate/vode.pyf' (format:free)
Post-processing...
	Block: dvode__user__routines
		Block: dvode_user_interface
			Block: f
			Block: jac
	Block: zvode__user__routines
		Block: zvode_user_interface
			Block: f
			Block: jac
	Block: vode
			Block: dvode
In: scipy/integrate/vode.pyf:vode:unknown_interface:dvode
get_useparameters: no module dvode__user__routines info used by dvode
			Block: zvode
In: scipy/integrate/vode.pyf:vode:unknown_interface:zvode
get_useparameters: no module zvode__user__routines info used by zvode
Post-processing (stage 2)...
Building modules...
	Constructing call-back function "cb_f_in_dvode__user__routines"
	  def f(t,y): return ydot
	Constructing call-back function "cb_jac_in_dvode__user__routines"
	  def jac(t,y): return jac
	Constructing call-back function "cb_f_in_zvode__user__routines"
	  def f(t,y): return ydot
	Constructing call-back function "cb_jac_in_zvode__user__routines"
	  def jac(t,y): return jac
	Building module "vode"...
		Constructing wrapper function "dvode"...
warning: callstatement is defined without callprotoargument
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y,t,istate = dvode(f,jac,y,t,tout,rtol,atol,itask,istate,rwork,iwork,mf,[f_extra_args,jac_extra_args,overwrite_y])
		Constructing wrapper function "zvode"...
warning: callstatement is defined without callprotoargument
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y,t,istate = zvode(f,jac,y,t,tout,rtol,atol,itask,istate,zwork,rwork,iwork,mf,[f_extra_args,jac_extra_args,overwrite_y])
	Wrote C/API module "vode" to file "build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.integrate.lsoda" sources
f2py options: []
f2py: scipy/integrate/lsoda.pyf
Reading fortran codes...
	Reading file 'scipy/integrate/lsoda.pyf' (format:free)
Post-processing...
	Block: lsoda__user__routines
		Block: lsoda_user_interface
			Block: f
			Block: jac
	Block: lsoda
			Block: lsoda
In: scipy/integrate/lsoda.pyf:lsoda:unknown_interface:lsoda
get_useparameters: no module lsoda__user__routines info used by lsoda
Post-processing (stage 2)...
Building modules...
	Constructing call-back function "cb_f_in_lsoda__user__routines"
	  def f(t,y): return ydot
	Constructing call-back function "cb_jac_in_lsoda__user__routines"
	  def jac(t,y): return jac
	Building module "lsoda"...
		Constructing wrapper function "lsoda"...
warning: callstatement is defined without callprotoargument
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y,t,istate = lsoda(f,y,t,tout,rtol,atol,itask,istate,rwork,iwork,jac,jt,[f_extra_args,overwrite_y,jac_extra_args])
	Wrote C/API module "lsoda" to file "build/src.linux-x86_64-2.7/scipy/integrate/lsodamodule.c"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.integrate._dop" sources
f2py options: []
f2py: scipy/integrate/dop.pyf
Reading fortran codes...
	Reading file 'scipy/integrate/dop.pyf' (format:free)
Post-processing...
	Block: __user__routines
			Block: fcn
			Block: solout
	Block: _dop
			Block: dopri5
In: scipy/integrate/dop.pyf:_dop:unknown_interface:dopri5
get_useparameters: no module __user__routines info used by dopri5
			Block: dop853
In: scipy/integrate/dop.pyf:_dop:unknown_interface:dop853
get_useparameters: no module __user__routines info used by dop853
Post-processing (stage 2)...
Building modules...
	Constructing call-back function "cb_fcn_in___user__routines"
	  def fcn(x,y): return f
	Constructing call-back function "cb_solout_in___user__routines"
	  def solout(nr,xold,x,y,con,icomp,[nd]): return irtn
	Building module "_dop"...
		Constructing wrapper function "dopri5"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x,y,iwork,idid = dopri5(fcn,x,y,xend,rtol,atol,solout,iout,work,iwork,[fcn_extra_args,overwrite_y,solout_extra_args])
		Constructing wrapper function "dop853"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x,y,iwork,idid = dop853(fcn,x,y,xend,rtol,atol,solout,iout,work,iwork,[fcn_extra_args,overwrite_y,solout_extra_args])
	Wrote C/API module "_dop" to file "build/src.linux-x86_64-2.7/scipy/integrate/_dopmodule.c"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.integrate._test_multivariate" sources
building extension "scipy.integrate._test_odeint_banded" sources
f2py options: []
f2py:> build/src.linux-x86_64-2.7/scipy/integrate/_test_odeint_bandedmodule.c
Reading fortran codes...
	Reading file 'scipy/integrate/tests/banded5x5.f' (format:fix,strict)
Post-processing...
	Block: _test_odeint_banded
			Block: jacobian
			Block: getbands
			Block: banded5x5
			Block: banded5x5_jac
			Block: banded5x5_bjac
			Block: banded5x5_solve
Post-processing (stage 2)...
Building modules...
	Building module "_test_odeint_banded"...
		Constructing wrapper function "getbands"...
		  jac = getbands()
		Constructing wrapper function "banded5x5"...
		  banded5x5(t,y,f,[n])
		Constructing wrapper function "banded5x5_jac"...
		  banded5x5_jac(t,y,ml,mu,jac,[n,nrowpd])
		Constructing wrapper function "banded5x5_bjac"...
		  banded5x5_bjac(t,y,ml,mu,bjac,[n,nrowpd])
		Constructing wrapper function "banded5x5_solve"...
		  nst,nfe,nje = banded5x5_solve(y,nsteps,dt,jt)
		Constructing COMMON block support for "jac"...
		  bands
	Wrote C/API module "_test_odeint_banded" to file "build/src.linux-x86_64-2.7/scipy/integrate/_test_odeint_bandedmodule.c"
	Fortran 77 wrappers are saved to "build/src.linux-x86_64-2.7/scipy/integrate/_test_odeint_banded-f2pywrappers.f"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
  adding 'build/src.linux-x86_64-2.7/scipy/integrate/_test_odeint_banded-f2pywrappers.f' to sources.
building extension "scipy.interpolate.interpnd" sources
building extension "scipy.interpolate._ppoly" sources
building extension "scipy.interpolate._fitpack" sources
building extension "scipy.interpolate.dfitpack" sources
creating build/src.linux-x86_64-2.7/scipy/interpolate
creating build/src.linux-x86_64-2.7/scipy/interpolate/src
f2py options: []
f2py: scipy/interpolate/src/fitpack.pyf
Reading fortran codes...
	Reading file 'scipy/interpolate/src/fitpack.pyf' (format:free)
Post-processing...
	Block: dfitpack
			Block: fpchec
			Block: splev
			Block: splder
			Block: splint
			Block: sproot
			Block: spalde
			Block: curfit
			Block: percur
			Block: parcur
			Block: fpcurf0
			Block: fpcurf1
			Block: fpcurfm1
			Block: bispev
			Block: parder
			Block: bispeu
			Block: pardeu
			Block: surfit_smth
			Block: surfit_lsq
			Block: spherfit_smth
			Block: spherfit_lsq
			Block: regrid_smth
			Block: regrid_smth_spher
			Block: dblint
Post-processing (stage 2)...
Building modules...
	Building module "dfitpack"...
		Constructing wrapper function "fpchec"...
		  ier = fpchec(x,t,k)
		Constructing wrapper function "splev"...
		  y = splev(t,c,k,x,[e])
		Constructing wrapper function "splder"...
		  y = splder(t,c,k,x,[nu,e])
		Creating wrapper for Fortran function "splint"("splint")...
		Constructing wrapper function "splint"...
		  splint = splint(t,c,k,a,b)
		Constructing wrapper function "sproot"...
		  zero,m,ier = sproot(t,c,[mest])
		Constructing wrapper function "spalde"...
		  d,ier = spalde(t,c,k,x)
		Constructing wrapper function "curfit"...
		  n,c,fp,ier = curfit(iopt,x,y,w,t,wrk,iwrk,[xb,xe,k,s])
		Constructing wrapper function "percur"...
		  n,c,fp,ier = percur(iopt,x,y,w,t,wrk,iwrk,[k,s])
		Constructing wrapper function "parcur"...
		  n,c,fp,ier = parcur(iopt,ipar,idim,u,x,w,ub,ue,t,wrk,iwrk,[k,s])
		Constructing wrapper function "fpcurf0"...
		  x,y,w,xb,xe,k,s,n,t,c,fp,fpint,nrdata,ier = fpcurf0(x,y,k,[w,xb,xe,s,nest])
		Constructing wrapper function "fpcurf1"...
		  x,y,w,xb,xe,k,s,n,t,c,fp,fpint,nrdata,ier = fpcurf1(x,y,w,xb,xe,k,s,n,t,c,fp,fpint,nrdata,ier,[overwrite_x,overwrite_y,overwrite_w,overwrite_t,overwrite_c,overwrite_fpint,overwrite_nrdata])
		Constructing wrapper function "fpcurfm1"...
		  x,y,w,xb,xe,k,s,n,t,c,fp,fpint,nrdata,ier = fpcurfm1(x,y,k,t,[w,xb,xe,overwrite_t])
		Constructing wrapper function "bispev"...
		  z,ier = bispev(tx,ty,c,kx,ky,x,y)
		Constructing wrapper function "parder"...
		  z,ier = parder(tx,ty,c,kx,ky,nux,nuy,x,y)
		Constructing wrapper function "bispeu"...
		  z,ier = bispeu(tx,ty,c,kx,ky,x,y)
		Constructing wrapper function "pardeu"...
		  z,ier = pardeu(tx,ty,c,kx,ky,nux,nuy,x,y)
		Constructing wrapper function "surfit_smth"...
		  nx,tx,ny,ty,c,fp,wrk1,ier = surfit_smth(x,y,z,[w,xb,xe,yb,ye,kx,ky,s,nxest,nyest,eps,lwrk2])
		Constructing wrapper function "surfit_lsq"...
		  tx,ty,c,fp,ier = surfit_lsq(x,y,z,tx,ty,[w,xb,xe,yb,ye,kx,ky,eps,lwrk2,overwrite_tx,overwrite_ty])
		Constructing wrapper function "spherfit_smth"...
		  nt,tt,np,tp,c,fp,ier = spherfit_smth(teta,phi,r,[w,s,eps])
		Constructing wrapper function "spherfit_lsq"...
		  tt,tp,c,fp,ier = spherfit_lsq(teta,phi,r,tt,tp,[w,eps,overwrite_tt,overwrite_tp])
		Constructing wrapper function "regrid_smth"...
		  nx,tx,ny,ty,c,fp,ier = regrid_smth(x,y,z,[xb,xe,yb,ye,kx,ky,s])
		Constructing wrapper function "regrid_smth_spher"...
		  nu,tu,nv,tv,c,fp,ier = regrid_smth_spher(iopt,ider,u,v,r,[r0,r1,s])
		Creating wrapper for Fortran function "dblint"("dblint")...
		Constructing wrapper function "dblint"...
		  dblint = dblint(tx,ty,c,kx,ky,xb,xe,yb,ye)
	Wrote C/API module "dfitpack" to file "build/src.linux-x86_64-2.7/scipy/interpolate/src/dfitpackmodule.c"
	Fortran 77 wrappers are saved to "build/src.linux-x86_64-2.7/scipy/interpolate/src/dfitpack-f2pywrappers.f"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
  adding 'build/src.linux-x86_64-2.7/scipy/interpolate/src/dfitpack-f2pywrappers.f' to sources.
building extension "scipy.interpolate._interpolate" sources
building extension "scipy.io.matlab.streams" sources
building extension "scipy.io.matlab.mio_utils" sources
building extension "scipy.io.matlab.mio5_utils" sources
building extension "scipy.linalg._fblas" sources
creating build/src.linux-x86_64-2.7/scipy/linalg
from_template:> build/src.linux-x86_64-2.7/scipy/linalg/fblas.pyf
Including file scipy/linalg/fblas_l1.pyf.src
Including file scipy/linalg/fblas_l2.pyf.src
Including file scipy/linalg/fblas_l3.pyf.src
Mismatch in number of replacements (base <prefix=s,d,c,z>) for <__l1=->. Ignoring.
Mismatch in number of replacements (base <prefix6=s,d,c,z,c,z>) for <prefix=s,d,c,z>. Ignoring.
creating build/src.linux-x86_64-2.7/build
creating build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7
creating build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy
creating build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg
f2py options: []
f2py: build/src.linux-x86_64-2.7/scipy/linalg/fblas.pyf
Reading fortran codes...
	Reading file 'build/src.linux-x86_64-2.7/scipy/linalg/fblas.pyf' (format:free)
Post-processing...
	Block: _fblas
			Block: srotg
			Block: drotg
			Block: crotg
			Block: zrotg
			Block: srotmg
			Block: drotmg
			Block: srot
			Block: drot
			Block: csrot
			Block: zdrot
			Block: srotm
			Block: drotm
			Block: sswap
			Block: dswap
			Block: cswap
			Block: zswap
			Block: sscal
			Block: dscal
			Block: cscal
			Block: zscal
			Block: csscal
			Block: zdscal
			Block: scopy
			Block: dcopy
			Block: ccopy
			Block: zcopy
			Block: saxpy
			Block: daxpy
			Block: caxpy
			Block: zaxpy
			Block: sdot
			Block: ddot
			Block: cdotu
			Block: zdotu
			Block: cdotc
			Block: zdotc
			Block: snrm2
			Block: scnrm2
			Block: dnrm2
			Block: dznrm2
			Block: sasum
			Block: scasum
			Block: dasum
			Block: dzasum
			Block: isamax
			Block: idamax
			Block: icamax
			Block: izamax
			Block: sgemv
			Block: dgemv
			Block: cgemv
			Block: zgemv
			Block: ssymv
			Block: dsymv
			Block: chemv
			Block: zhemv
			Block: strmv
			Block: dtrmv
			Block: ctrmv
			Block: ztrmv
			Block: sger
			Block: dger
			Block: cgeru
			Block: zgeru
			Block: cgerc
			Block: zgerc
			Block: ssyr
			Block: dsyr
			Block: csyr
			Block: zsyr
			Block: cher
			Block: zher
			Block: ssyr2
			Block: dsyr2
			Block: cher2
			Block: zher2
			Block: sgemm
			Block: dgemm
			Block: cgemm
			Block: zgemm
			Block: ssymm
			Block: dsymm
			Block: csymm
			Block: zsymm
			Block: chemm
			Block: zhemm
			Block: ssyrk
			Block: dsyrk
			Block: csyrk
			Block: zsyrk
			Block: cherk
			Block: zherk
			Block: ssyr2k
			Block: dsyr2k
			Block: csyr2k
			Block: zsyr2k
			Block: cher2k
			Block: zher2k
			Block: strmm
			Block: dtrmm
			Block: ctrmm
			Block: ztrmm
Post-processing (stage 2)...
Building modules...
	Building module "_fblas"...
		Constructing wrapper function "srotg"...
		  c,s = srotg(a,b)
		Constructing wrapper function "drotg"...
		  c,s = drotg(a,b)
		Constructing wrapper function "crotg"...
		  c,s = crotg(a,b)
		Constructing wrapper function "zrotg"...
		  c,s = zrotg(a,b)
		Constructing wrapper function "srotmg"...
		  param = srotmg(d1,d2,x1,y1)
		Constructing wrapper function "drotmg"...
		  param = drotmg(d1,d2,x1,y1)
		Constructing wrapper function "srot"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x,y = srot(x,y,c,s,[n,offx,incx,offy,incy,overwrite_x,overwrite_y])
		Constructing wrapper function "drot"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x,y = drot(x,y,c,s,[n,offx,incx,offy,incy,overwrite_x,overwrite_y])
		Constructing wrapper function "csrot"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x,y = csrot(x,y,c,s,[n,offx,incx,offy,incy,overwrite_x,overwrite_y])
		Constructing wrapper function "zdrot"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x,y = zdrot(x,y,c,s,[n,offx,incx,offy,incy,overwrite_x,overwrite_y])
		Constructing wrapper function "srotm"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x,y = srotm(x,y,param,[n,offx,incx,offy,incy,overwrite_x,overwrite_y])
		Constructing wrapper function "drotm"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x,y = drotm(x,y,param,[n,offx,incx,offy,incy,overwrite_x,overwrite_y])
		Constructing wrapper function "sswap"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x,y = sswap(x,y,[n,offx,incx,offy,incy])
		Constructing wrapper function "dswap"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x,y = dswap(x,y,[n,offx,incx,offy,incy])
		Constructing wrapper function "cswap"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x,y = cswap(x,y,[n,offx,incx,offy,incy])
		Constructing wrapper function "zswap"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x,y = zswap(x,y,[n,offx,incx,offy,incy])
		Constructing wrapper function "sscal"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x = sscal(a,x,[n,offx,incx])
		Constructing wrapper function "dscal"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x = dscal(a,x,[n,offx,incx])
		Constructing wrapper function "cscal"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x = cscal(a,x,[n,offx,incx])
		Constructing wrapper function "zscal"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x = zscal(a,x,[n,offx,incx])
		Constructing wrapper function "csscal"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x = csscal(a,x,[n,offx,incx,overwrite_x])
		Constructing wrapper function "zdscal"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x = zdscal(a,x,[n,offx,incx,overwrite_x])
		Constructing wrapper function "scopy"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = scopy(x,y,[n,offx,incx,offy,incy])
		Constructing wrapper function "dcopy"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = dcopy(x,y,[n,offx,incx,offy,incy])
		Constructing wrapper function "ccopy"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = ccopy(x,y,[n,offx,incx,offy,incy])
		Constructing wrapper function "zcopy"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = zcopy(x,y,[n,offx,incx,offy,incy])
		Constructing wrapper function "saxpy"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  z = saxpy(x,y,[n,a,offx,incx,offy,incy])
		Constructing wrapper function "daxpy"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  z = daxpy(x,y,[n,a,offx,incx,offy,incy])
		Constructing wrapper function "caxpy"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  z = caxpy(x,y,[n,a,offx,incx,offy,incy])
		Constructing wrapper function "zaxpy"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  z = zaxpy(x,y,[n,a,offx,incx,offy,incy])
		Creating wrapper for Fortran function "sdot"("wsdot")...
		Constructing wrapper function "sdot"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  xy = sdot(x,y,[n,offx,incx,offy,incy])
		Creating wrapper for Fortran function "ddot"("ddot")...
		Constructing wrapper function "ddot"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  xy = ddot(x,y,[n,offx,incx,offy,incy])
		Creating wrapper for Fortran function "cdotu"("wcdotu")...
		Constructing wrapper function "cdotu"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  xy = cdotu(x,y,[n,offx,incx,offy,incy])
		Creating wrapper for Fortran function "zdotu"("wzdotu")...
		Constructing wrapper function "zdotu"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  xy = zdotu(x,y,[n,offx,incx,offy,incy])
		Creating wrapper for Fortran function "cdotc"("wcdotc")...
		Constructing wrapper function "cdotc"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  xy = cdotc(x,y,[n,offx,incx,offy,incy])
		Creating wrapper for Fortran function "zdotc"("wzdotc")...
		Constructing wrapper function "zdotc"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  xy = zdotc(x,y,[n,offx,incx,offy,incy])
		Creating wrapper for Fortran function "snrm2"("wsnrm2")...
		Constructing wrapper function "snrm2"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  n2 = snrm2(x,[n,offx,incx])
		Creating wrapper for Fortran function "scnrm2"("wscnrm2")...
		Constructing wrapper function "scnrm2"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  n2 = scnrm2(x,[n,offx,incx])
		Creating wrapper for Fortran function "dnrm2"("dnrm2")...
		Constructing wrapper function "dnrm2"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  n2 = dnrm2(x,[n,offx,incx])
		Creating wrapper for Fortran function "dznrm2"("dznrm2")...
		Constructing wrapper function "dznrm2"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  n2 = dznrm2(x,[n,offx,incx])
		Creating wrapper for Fortran function "sasum"("wsasum")...
		Constructing wrapper function "sasum"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  s = sasum(x,[n,offx,incx])
		Creating wrapper for Fortran function "scasum"("wscasum")...
		Constructing wrapper function "scasum"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  s = scasum(x,[n,offx,incx])
		Creating wrapper for Fortran function "dasum"("dasum")...
		Constructing wrapper function "dasum"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  s = dasum(x,[n,offx,incx])
		Creating wrapper for Fortran function "dzasum"("dzasum")...
		Constructing wrapper function "dzasum"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  s = dzasum(x,[n,offx,incx])
		Constructing wrapper function "isamax"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  k = isamax(x,[n,offx,incx])
		Constructing wrapper function "idamax"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  k = idamax(x,[n,offx,incx])
		Constructing wrapper function "icamax"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  k = icamax(x,[n,offx,incx])
		Constructing wrapper function "izamax"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  k = izamax(x,[n,offx,incx])
		Constructing wrapper function "sgemv"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = sgemv(alpha,a,x,[beta,y,offx,incx,offy,incy,trans,overwrite_y])
		Constructing wrapper function "dgemv"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = dgemv(alpha,a,x,[beta,y,offx,incx,offy,incy,trans,overwrite_y])
		Constructing wrapper function "cgemv"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = cgemv(alpha,a,x,[beta,y,offx,incx,offy,incy,trans,overwrite_y])
		Constructing wrapper function "zgemv"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = zgemv(alpha,a,x,[beta,y,offx,incx,offy,incy,trans,overwrite_y])
		Constructing wrapper function "ssymv"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = ssymv(alpha,a,x,[beta,y,offx,incx,offy,incy,lower,overwrite_y])
		Constructing wrapper function "dsymv"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = dsymv(alpha,a,x,[beta,y,offx,incx,offy,incy,lower,overwrite_y])
		Constructing wrapper function "chemv"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = chemv(alpha,a,x,[beta,y,offx,incx,offy,incy,lower,overwrite_y])
		Constructing wrapper function "zhemv"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  y = zhemv(alpha,a,x,[beta,y,offx,incx,offy,incy,lower,overwrite_y])
		Constructing wrapper function "strmv"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x = strmv(a,x,[offx,incx,lower,trans,unitdiag,overwrite_x])
		Constructing wrapper function "dtrmv"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x = dtrmv(a,x,[offx,incx,lower,trans,unitdiag,overwrite_x])
		Constructing wrapper function "ctrmv"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x = ctrmv(a,x,[offx,incx,lower,trans,unitdiag,overwrite_x])
		Constructing wrapper function "ztrmv"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x = ztrmv(a,x,[offx,incx,lower,trans,unitdiag,overwrite_x])
		Constructing wrapper function "sger"...
		  a = sger(alpha,x,y,[incx,incy,a,overwrite_x,overwrite_y,overwrite_a])
		Constructing wrapper function "dger"...
		  a = dger(alpha,x,y,[incx,incy,a,overwrite_x,overwrite_y,overwrite_a])
		Constructing wrapper function "cgeru"...
		  a = cgeru(alpha,x,y,[incx,incy,a,overwrite_x,overwrite_y,overwrite_a])
		Constructing wrapper function "zgeru"...
		  a = zgeru(alpha,x,y,[incx,incy,a,overwrite_x,overwrite_y,overwrite_a])
		Constructing wrapper function "cgerc"...
		  a = cgerc(alpha,x,y,[incx,incy,a,overwrite_x,overwrite_y,overwrite_a])
		Constructing wrapper function "zgerc"...
		  a = zgerc(alpha,x,y,[incx,incy,a,overwrite_x,overwrite_y,overwrite_a])
		Constructing wrapper function "ssyr"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a = ssyr(alpha,x,[lower,incx,offx,n,a,overwrite_a])
		Constructing wrapper function "dsyr"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a = dsyr(alpha,x,[lower,incx,offx,n,a,overwrite_a])
		Constructing wrapper function "csyr"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a = csyr(alpha,x,[lower,incx,offx,n,a,overwrite_a])
		Constructing wrapper function "zsyr"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a = zsyr(alpha,x,[lower,incx,offx,n,a,overwrite_a])
		Constructing wrapper function "cher"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a = cher(alpha,x,[lower,incx,offx,n,a,overwrite_a])
		Constructing wrapper function "zher"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a = zher(alpha,x,[lower,incx,offx,n,a,overwrite_a])
		Constructing wrapper function "ssyr2"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a = ssyr2(alpha,x,y,[lower,incx,offx,incy,offy,n,a,overwrite_a])
		Constructing wrapper function "dsyr2"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a = dsyr2(alpha,x,y,[lower,incx,offx,incy,offy,n,a,overwrite_a])
		Constructing wrapper function "cher2"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a = cher2(alpha,x,y,[lower,incx,offx,incy,offy,n,a,overwrite_a])
		Constructing wrapper function "zher2"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a = zher2(alpha,x,y,[lower,incx,offx,incy,offy,n,a,overwrite_a])
		Constructing wrapper function "sgemm"...
		  c = sgemm(alpha,a,b,[beta,c,trans_a,trans_b,overwrite_c])
		Constructing wrapper function "dgemm"...
		  c = dgemm(alpha,a,b,[beta,c,trans_a,trans_b,overwrite_c])
		Constructing wrapper function "cgemm"...
		  c = cgemm(alpha,a,b,[beta,c,trans_a,trans_b,overwrite_c])
		Constructing wrapper function "zgemm"...
		  c = zgemm(alpha,a,b,[beta,c,trans_a,trans_b,overwrite_c])
		Constructing wrapper function "ssymm"...
		  c = ssymm(alpha,a,b,[beta,c,side,lower,overwrite_c])
		Constructing wrapper function "dsymm"...
		  c = dsymm(alpha,a,b,[beta,c,side,lower,overwrite_c])
		Constructing wrapper function "csymm"...
		  c = csymm(alpha,a,b,[beta,c,side,lower,overwrite_c])
		Constructing wrapper function "zsymm"...
		  c = zsymm(alpha,a,b,[beta,c,side,lower,overwrite_c])
		Constructing wrapper function "chemm"...
		  c = chemm(alpha,a,b,[beta,c,side,lower,overwrite_c])
		Constructing wrapper function "zhemm"...
		  c = zhemm(alpha,a,b,[beta,c,side,lower,overwrite_c])
		Constructing wrapper function "ssyrk"...
		  c = ssyrk(alpha,a,[beta,c,trans,lower,overwrite_c])
		Constructing wrapper function "dsyrk"...
		  c = dsyrk(alpha,a,[beta,c,trans,lower,overwrite_c])
		Constructing wrapper function "csyrk"...
		  c = csyrk(alpha,a,[beta,c,trans,lower,overwrite_c])
		Constructing wrapper function "zsyrk"...
		  c = zsyrk(alpha,a,[beta,c,trans,lower,overwrite_c])
		Constructing wrapper function "cherk"...
		  c = cherk(alpha,a,[beta,c,trans,lower,overwrite_c])
		Constructing wrapper function "zherk"...
		  c = zherk(alpha,a,[beta,c,trans,lower,overwrite_c])
		Constructing wrapper function "ssyr2k"...
		  c = ssyr2k(alpha,a,b,[beta,c,trans,lower,overwrite_c])
		Constructing wrapper function "dsyr2k"...
		  c = dsyr2k(alpha,a,b,[beta,c,trans,lower,overwrite_c])
		Constructing wrapper function "csyr2k"...
		  c = csyr2k(alpha,a,b,[beta,c,trans,lower,overwrite_c])
		Constructing wrapper function "zsyr2k"...
		  c = zsyr2k(alpha,a,b,[beta,c,trans,lower,overwrite_c])
		Constructing wrapper function "cher2k"...
		  c = cher2k(alpha,a,b,[beta,c,trans,lower,overwrite_c])
		Constructing wrapper function "zher2k"...
		  c = zher2k(alpha,a,b,[beta,c,trans,lower,overwrite_c])
		Constructing wrapper function "strmm"...
		  b = strmm(alpha,a,b,[side,lower,trans_a,diag,overwrite_b])
		Constructing wrapper function "dtrmm"...
		  b = dtrmm(alpha,a,b,[side,lower,trans_a,diag,overwrite_b])
		Constructing wrapper function "ctrmm"...
		  b = ctrmm(alpha,a,b,[side,lower,trans_a,diag,overwrite_b])
		Constructing wrapper function "ztrmm"...
		  b = ztrmm(alpha,a,b,[side,lower,trans_a,diag,overwrite_b])
	Wrote C/API module "_fblas" to file "build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_fblasmodule.c"
	Fortran 77 wrappers are saved to "build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_fblas-f2pywrappers.f"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
  adding 'build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_fblas-f2pywrappers.f' to sources.
building extension "scipy.linalg._flapack" sources
from_template:> build/src.linux-x86_64-2.7/scipy/linalg/flapack.pyf
Including file scipy/linalg/flapack_user.pyf.src
Mismatch in number of replacements (base <prefix2=s,d>) for <__l1=S/D>. Ignoring.
Mismatch in number of replacements (base <prefix2c=c,z>) for <__l1=C/Z>. Ignoring.
Mismatch in number of replacements (base <prefix2=s,d>) for <__l1=S/D>. Ignoring.
Mismatch in number of replacements (base <prefix2c=c,z>) for <__l1=C/Z>. Ignoring.
Mismatch in number of replacements (base <prefix2=s,d>) for <__l1=S/D>. Ignoring.
Mismatch in number of replacements (base <prefix2=s,d>) for <__l1=S/D>. Ignoring.
Mismatch in number of replacements (base <prefix2c=c,z>) for <__l1=C/Z>. Ignoring.
Mismatch in number of replacements (base <prefix2c=c,z>) for <__l1=C/Z>. Ignoring.
f2py options: []
f2py: build/src.linux-x86_64-2.7/scipy/linalg/flapack.pyf
Reading fortran codes...
	Reading file 'build/src.linux-x86_64-2.7/scipy/linalg/flapack.pyf' (format:free)
Line #5993 in build/src.linux-x86_64-2.7/scipy/linalg/flapack.pyf:"  char*,char*,char*,int*,int*,complex_float*,int*,complex_float*,int*,float*,float*,int*,int*,float*,int*,float*,complex_float*,int*,complex_float*,float*,int*,int*,int*"
	crackline:3: No pattern for line
Line #6073 in build/src.linux-x86_64-2.7/scipy/linalg/flapack.pyf:"  char*,char*,char*,int*,int*,complex_double*,int*,complex_double*,int*,double*,double*,int*,int*,double*,int*,double*,complex_double*,int*,complex_double*,double*,int*,int*,int*"
	crackline:3: No pattern for line
Line #6282 in build/src.linux-x86_64-2.7/scipy/linalg/flapack.pyf:"lprotoargument char*,int*,int *,int*,int*,float*,int*,int*,float*,int*,int*"
	crackline:3: No pattern for line
Line #6315 in build/src.linux-x86_64-2.7/scipy/linalg/flapack.pyf:"lprotoargument char*,int*,int *,int*,int*,double*,int*,int*,double*,int*,int*"
	crackline:3: No pattern for line
Line #6348 in build/src.linux-x86_64-2.7/scipy/linalg/flapack.pyf:"lprotoargument char*,int*,int *,int*,int*,complex_float*,int*,int*,complex_float*,int*,int*"
	crackline:3: No pattern for line
Line #6381 in build/src.linux-x86_64-2.7/scipy/linalg/flapack.pyf:"lprotoargument char*,int*,int *,int*,int*,complex_double*,int*,int*,complex_double*,int*,int*"
	crackline:3: No pattern for line
Post-processing...
	Block: _flapack
			Block: gees__user__routines
					Block: sselect
					Block: dselect
					Block: cselect
					Block: zselect
			Block: gges__user__routines
					Block: cselect
					Block: zselect
					Block: sselect
					Block: dselect
			Block: stgsen
			Block: dtgsen
			Block: ctgsen
			Block: ztgsen
			Block: sgges
In: build/src.linux-x86_64-2.7/scipy/linalg/flapack.pyf:_flapack:unknown_interface:sgges
get_useparameters: no module gges__user__routines info used by sgges
			Block: dgges
In: build/src.linux-x86_64-2.7/scipy/linalg/flapack.pyf:_flapack:unknown_interface:dgges
get_useparameters: no module gges__user__routines info used by dgges
			Block: cgges
In: build/src.linux-x86_64-2.7/scipy/linalg/flapack.pyf:_flapack:unknown_interface:cgges
get_useparameters: no module gges__user__routines info used by cgges
			Block: zgges
In: build/src.linux-x86_64-2.7/scipy/linalg/flapack.pyf:_flapack:unknown_interface:zgges
get_useparameters: no module gges__user__routines info used by zgges
			Block: spbtrf
			Block: dpbtrf
			Block: cpbtrf
			Block: zpbtrf
			Block: spbtrs
			Block: dpbtrs
			Block: cpbtrs
			Block: zpbtrs
			Block: strtrs
			Block: dtrtrs
			Block: ctrtrs
			Block: ztrtrs
			Block: spbsv
			Block: dpbsv
			Block: cpbsv
			Block: zpbsv
			Block: sptsv
			Block: dptsv
			Block: cptsv
			Block: zptsv
			Block: sgebal
			Block: dgebal
			Block: cgebal
			Block: zgebal
			Block: sgehrd
			Block: dgehrd
			Block: cgehrd
			Block: zgehrd
			Block: sgehrd_lwork
			Block: dgehrd_lwork
			Block: cgehrd_lwork
			Block: zgehrd_lwork
			Block: sorghr
			Block: dorghr
			Block: sorghr_lwork
			Block: dorghr_lwork
			Block: cunghr
			Block: zunghr
			Block: cunghr_lwork
			Block: zunghr_lwork
			Block: sgbsv
			Block: dgbsv
			Block: cgbsv
			Block: zgbsv
			Block: sgtsv
			Block: dgtsv
			Block: cgtsv
			Block: zgtsv
			Block: sgesv
			Block: dgesv
			Block: cgesv
			Block: zgesv
			Block: sgetrf
			Block: dgetrf
			Block: cgetrf
			Block: zgetrf
			Block: sgetrs
			Block: dgetrs
			Block: cgetrs
			Block: zgetrs
			Block: sgetri
			Block: dgetri
			Block: cgetri
			Block: zgetri
			Block: sgetri_lwork
			Block: dgetri_lwork
			Block: cgetri_lwork
			Block: zgetri_lwork
			Block: sgesdd
			Block: dgesdd
			Block: sgesdd_lwork
			Block: dgesdd_lwork
			Block: cgesdd
			Block: zgesdd
			Block: cgesdd_lwork
			Block: zgesdd_lwork
			Block: sgesvd
			Block: dgesvd
			Block: sgesvd_lwork
			Block: dgesvd_lwork
			Block: cgesvd
			Block: zgesvd
			Block: cgesvd_lwork
			Block: zgesvd_lwork
			Block: sgelss
			Block: dgelss
			Block: sgelss_lwork
			Block: dgelss_lwork
			Block: cgelss
			Block: zgelss
			Block: slasd4
			Block: dlasd4
			Block: cgelss_lwork
			Block: zgelss_lwork
			Block: sgelsy
			Block: dgelsy
			Block: sgelsy_lwork
			Block: dgelsy_lwork
			Block: cgelsy
			Block: zgelsy
			Block: cgelsy_lwork
			Block: zgelsy_lwork
			Block: sgelsd
			Block: dgelsd
			Block: sgelsd_lwork
			Block: dgelsd_lwork
			Block: cgelsd
			Block: zgelsd
			Block: cgelsd_lwork
			Block: zgelsd_lwork
			Block: sgeqp3
			Block: dgeqp3
			Block: cgeqp3
			Block: zgeqp3
			Block: sgeqrf
			Block: dgeqrf
			Block: cgeqrf
			Block: zgeqrf
			Block: sgerqf
			Block: dgerqf
			Block: cgerqf
			Block: zgerqf
			Block: sorgqr
			Block: dorgqr
			Block: cungqr
			Block: zungqr
			Block: sormqr
			Block: dormqr
			Block: cunmqr
			Block: zunmqr
			Block: sorgrq
			Block: dorgrq
			Block: cungrq
			Block: zungrq
			Block: sgeev
			Block: dgeev
			Block: sgeev_lwork
			Block: dgeev_lwork
			Block: cgeev
			Block: zgeev
			Block: cgeev_lwork
			Block: zgeev_lwork
			Block: sgegv
			Block: dgegv
			Block: cgegv
			Block: zgegv
			Block: ssyev
			Block: dsyev
			Block: cheev
			Block: zheev
			Block: ssyevd
			Block: dsyevd
			Block: cheevd
			Block: zheevd
			Block: sposv
			Block: dposv
			Block: cposv
			Block: zposv
			Block: spotrf
			Block: dpotrf
			Block: cpotrf
			Block: zpotrf
			Block: spotrs
			Block: dpotrs
			Block: cpotrs
			Block: zpotrs
			Block: spotri
			Block: dpotri
			Block: cpotri
			Block: zpotri
			Block: slauum
			Block: dlauum
			Block: clauum
			Block: zlauum
			Block: strtri
			Block: dtrtri
			Block: ctrtri
			Block: ztrtri
			Block: strsyl
			Block: dtrsyl
			Block: ctrsyl
			Block: ztrsyl
			Block: slaswp
			Block: dlaswp
			Block: claswp
			Block: zlaswp
			Block: cgees
In: build/src.linux-x86_64-2.7/scipy/linalg/flapack.pyf:_flapack:unknown_interface:cgees
get_useparameters: no module gees__user__routines info used by cgees
			Block: zgees
In: build/src.linux-x86_64-2.7/scipy/linalg/flapack.pyf:_flapack:unknown_interface:zgees
get_useparameters: no module gees__user__routines info used by zgees
			Block: sgees
In: build/src.linux-x86_64-2.7/scipy/linalg/flapack.pyf:_flapack:unknown_interface:sgees
get_useparameters: no module gees__user__routines info used by sgees
			Block: dgees
In: build/src.linux-x86_64-2.7/scipy/linalg/flapack.pyf:_flapack:unknown_interface:dgees
get_useparameters: no module gees__user__routines info used by dgees
			Block: sggev
			Block: dggev
			Block: cggev
			Block: zggev
			Block: ssbev
			Block: dsbev
			Block: ssbevd
			Block: dsbevd
			Block: ssbevx
			Block: dsbevx
			Block: chbevd
			Block: zhbevd
			Block: chbevx
			Block: zhbevx
			Block: dlamch
			Block: slamch
			Block: sgbtrf
			Block: dgbtrf
			Block: cgbtrf
			Block: zgbtrf
			Block: sgbtrs
			Block: dgbtrs
			Block: cgbtrs
			Block: zgbtrs
			Block: ssyevr
			Block: dsyevr
			Block: cheevr
			Block: zheevr
			Block: ssygv
			Block: dsygv
			Block: chegv
			Block: zhegv
			Block: ssygvd
			Block: dsygvd
			Block: chegvd
			Block: zhegvd
			Block: ssygvx
			Block: dsygvx
			Block: chegvx
			Block: zhegvx
			Block: slange
			Block: dlange
			Block: clange
			Block: zlange
			Block: slarfg
			Block: dlarfg
			Block: clarfg
			Block: zlarfg
			Block: slarf
			Block: dlarf
			Block: clarf
			Block: zlarf
			Block: slartg
			Block: dlartg
			Block: clartg
			Block: zlartg
			Block: crot
			Block: zrot
			Block: ilaver
Post-processing (stage 2)...
Building modules...
	Constructing call-back function "cb_sselect_in_gees__user__routines"
	  def sselect(arg1,arg2): return sselect
	Constructing call-back function "cb_dselect_in_gees__user__routines"
	  def dselect(arg1,arg2): return dselect
	Constructing call-back function "cb_cselect_in_gees__user__routines"
	  def cselect(arg): return cselect
	Constructing call-back function "cb_zselect_in_gees__user__routines"
	  def zselect(arg): return zselect
	Constructing call-back function "cb_cselect_in_gges__user__routines"
	  def cselect(alpha,beta): return cselect
	Constructing call-back function "cb_zselect_in_gges__user__routines"
	  def zselect(alpha,beta): return zselect
	Constructing call-back function "cb_sselect_in_gges__user__routines"
	  def sselect(alphar,alphai,beta): return sselect
	Constructing call-back function "cb_dselect_in_gges__user__routines"
	  def dselect(alphar,alphai,beta): return dselect
	Building module "_flapack"...
		Constructing wrapper function "stgsen"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a,b,alphar,alphai,beta,q,z,m,pl,pr,dif,work,iwork,info = stgsen(select,a,b,q,z,[lwork,liwork,overwrite_a,overwrite_b,overwrite_q,overwrite_z])
		Constructing wrapper function "dtgsen"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a,b,alphar,alphai,beta,q,z,m,pl,pr,dif,work,iwork,info = dtgsen(select,a,b,q,z,[lwork,liwork,overwrite_a,overwrite_b,overwrite_q,overwrite_z])
		Constructing wrapper function "ctgsen"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a,b,alpha,beta,q,z,m,pl,pr,dif,work,iwork,info = ctgsen(select,a,b,q,z,[lwork,liwork,overwrite_a,overwrite_b,overwrite_q,overwrite_z])
		Constructing wrapper function "ztgsen"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a,b,alpha,beta,q,z,m,pl,pr,dif,work,iwork,info = ztgsen(select,a,b,q,z,[lwork,liwork,overwrite_a,overwrite_b,overwrite_q,overwrite_z])
		Constructing wrapper function "sgges"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a,b,sdim,alphar,alphai,beta,vsl,vsr,work,info = sgges(sselect,a,b,[jobvsl,jobvsr,sort_t,ldvsl,ldvsr,lwork,sselect_extra_args,overwrite_a,overwrite_b])
		Constructing wrapper function "dgges"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a,b,sdim,alphar,alphai,beta,vsl,vsr,work,info = dgges(dselect,a,b,[jobvsl,jobvsr,sort_t,ldvsl,ldvsr,lwork,dselect_extra_args,overwrite_a,overwrite_b])
		Constructing wrapper function "cgges"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a,b,sdim,alpha,beta,vsl,vsr,work,info = cgges(cselect,a,b,[jobvsl,jobvsr,sort_t,ldvsl,ldvsr,lwork,cselect_extra_args,overwrite_a,overwrite_b])
		Constructing wrapper function "zgges"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a,b,sdim,alpha,beta,vsl,vsr,work,info = zgges(zselect,a,b,[jobvsl,jobvsr,sort_t,ldvsl,ldvsr,lwork,zselect_extra_args,overwrite_a,overwrite_b])
		Constructing wrapper function "spbtrf"...
		  c,info = spbtrf(ab,[lower,ldab,overwrite_ab])
		Constructing wrapper function "dpbtrf"...
		  c,info = dpbtrf(ab,[lower,ldab,overwrite_ab])
		Constructing wrapper function "cpbtrf"...
		  c,info = cpbtrf(ab,[lower,ldab,overwrite_ab])
		Constructing wrapper function "zpbtrf"...
		  c,info = zpbtrf(ab,[lower,ldab,overwrite_ab])
		Constructing wrapper function "spbtrs"...
		  x,info = spbtrs(ab,b,[lower,ldab,overwrite_b])
		Constructing wrapper function "dpbtrs"...
		  x,info = dpbtrs(ab,b,[lower,ldab,overwrite_b])
		Constructing wrapper function "cpbtrs"...
		  x,info = cpbtrs(ab,b,[lower,ldab,overwrite_b])
		Constructing wrapper function "zpbtrs"...
		  x,info = zpbtrs(ab,b,[lower,ldab,overwrite_b])
		Constructing wrapper function "strtrs"...
		  x,info = strtrs(a,b,[lower,trans,unitdiag,lda,overwrite_b])
		Constructing wrapper function "dtrtrs"...
		  x,info = dtrtrs(a,b,[lower,trans,unitdiag,lda,overwrite_b])
		Constructing wrapper function "ctrtrs"...
		  x,info = ctrtrs(a,b,[lower,trans,unitdiag,lda,overwrite_b])
		Constructing wrapper function "ztrtrs"...
		  x,info = ztrtrs(a,b,[lower,trans,unitdiag,lda,overwrite_b])
		Constructing wrapper function "spbsv"...
		  c,x,info = spbsv(ab,b,[lower,ldab,overwrite_ab,overwrite_b])
		Constructing wrapper function "dpbsv"...
		  c,x,info = dpbsv(ab,b,[lower,ldab,overwrite_ab,overwrite_b])
		Constructing wrapper function "cpbsv"...
		  c,x,info = cpbsv(ab,b,[lower,ldab,overwrite_ab,overwrite_b])
		Constructing wrapper function "zpbsv"...
		  c,x,info = zpbsv(ab,b,[lower,ldab,overwrite_ab,overwrite_b])
		Constructing wrapper function "sptsv"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  d,du,x,info = sptsv(d,e,b,[overwrite_d,overwrite_e,overwrite_b])
		Constructing wrapper function "dptsv"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  d,du,x,info = dptsv(d,e,b,[overwrite_d,overwrite_e,overwrite_b])
		Constructing wrapper function "cptsv"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  d,du,x,info = cptsv(d,e,b,[overwrite_d,overwrite_e,overwrite_b])
		Constructing wrapper function "zptsv"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  d,du,x,info = zptsv(d,e,b,[overwrite_d,overwrite_e,overwrite_b])
		Constructing wrapper function "sgebal"...
		  ba,lo,hi,pivscale,info = sgebal(a,[scale,permute,overwrite_a])
		Constructing wrapper function "dgebal"...
		  ba,lo,hi,pivscale,info = dgebal(a,[scale,permute,overwrite_a])
		Constructing wrapper function "cgebal"...
		  ba,lo,hi,pivscale,info = cgebal(a,[scale,permute,overwrite_a])
		Constructing wrapper function "zgebal"...
		  ba,lo,hi,pivscale,info = zgebal(a,[scale,permute,overwrite_a])
		Constructing wrapper function "sgehrd"...
		  ht,tau,info = sgehrd(a,[lo,hi,lwork,overwrite_a])
		Constructing wrapper function "dgehrd"...
		  ht,tau,info = dgehrd(a,[lo,hi,lwork,overwrite_a])
		Constructing wrapper function "cgehrd"...
		  ht,tau,info = cgehrd(a,[lo,hi,lwork,overwrite_a])
		Constructing wrapper function "zgehrd"...
		  ht,tau,info = zgehrd(a,[lo,hi,lwork,overwrite_a])
		Constructing wrapper function "sgehrd_lwork"...
		  work,info = sgehrd_lwork(n,[lo,hi])
		Constructing wrapper function "dgehrd_lwork"...
		  work,info = dgehrd_lwork(n,[lo,hi])
		Constructing wrapper function "cgehrd_lwork"...
		  work,info = cgehrd_lwork(n,[lo,hi])
		Constructing wrapper function "zgehrd_lwork"...
		  work,info = zgehrd_lwork(n,[lo,hi])
		Constructing wrapper function "sorghr"...
		  ht,info = sorghr(a,tau,[lo,hi,lwork,overwrite_a])
		Constructing wrapper function "dorghr"...
		  ht,info = dorghr(a,tau,[lo,hi,lwork,overwrite_a])
		Constructing wrapper function "sorghr_lwork"...
warning: callstatement is defined without callprotoargument
		  work,info = sorghr_lwork(n,[lo,hi])
		Constructing wrapper function "dorghr_lwork"...
warning: callstatement is defined without callprotoargument
		  work,info = dorghr_lwork(n,[lo,hi])
		Constructing wrapper function "cunghr"...
		  ht,info = cunghr(a,tau,[lo,hi,lwork,overwrite_a])
		Constructing wrapper function "zunghr"...
		  ht,info = zunghr(a,tau,[lo,hi,lwork,overwrite_a])
		Constructing wrapper function "cunghr_lwork"...
warning: callstatement is defined without callprotoargument
		  work,info = cunghr_lwork(n,[lo,hi])
		Constructing wrapper function "zunghr_lwork"...
warning: callstatement is defined without callprotoargument
		  work,info = zunghr_lwork(n,[lo,hi])
		Constructing wrapper function "sgbsv"...
		  lub,piv,x,info = sgbsv(kl,ku,ab,b,[overwrite_ab,overwrite_b])
		Constructing wrapper function "dgbsv"...
		  lub,piv,x,info = dgbsv(kl,ku,ab,b,[overwrite_ab,overwrite_b])
		Constructing wrapper function "cgbsv"...
		  lub,piv,x,info = cgbsv(kl,ku,ab,b,[overwrite_ab,overwrite_b])
		Constructing wrapper function "zgbsv"...
		  lub,piv,x,info = zgbsv(kl,ku,ab,b,[overwrite_ab,overwrite_b])
		Constructing wrapper function "sgtsv"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  du2,d,du,x,info = sgtsv(dl,d,du,b,[overwrite_dl,overwrite_d,overwrite_du,overwrite_b])
		Constructing wrapper function "dgtsv"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  du2,d,du,x,info = dgtsv(dl,d,du,b,[overwrite_dl,overwrite_d,overwrite_du,overwrite_b])
		Constructing wrapper function "cgtsv"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  du2,d,du,x,info = cgtsv(dl,d,du,b,[overwrite_dl,overwrite_d,overwrite_du,overwrite_b])
		Constructing wrapper function "zgtsv"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  du2,d,du,x,info = zgtsv(dl,d,du,b,[overwrite_dl,overwrite_d,overwrite_du,overwrite_b])
		Constructing wrapper function "sgesv"...
		  lu,piv,x,info = sgesv(a,b,[overwrite_a,overwrite_b])
		Constructing wrapper function "dgesv"...
		  lu,piv,x,info = dgesv(a,b,[overwrite_a,overwrite_b])
		Constructing wrapper function "cgesv"...
		  lu,piv,x,info = cgesv(a,b,[overwrite_a,overwrite_b])
		Constructing wrapper function "zgesv"...
		  lu,piv,x,info = zgesv(a,b,[overwrite_a,overwrite_b])
		Constructing wrapper function "sgetrf"...
		  lu,piv,info = sgetrf(a,[overwrite_a])
		Constructing wrapper function "dgetrf"...
		  lu,piv,info = dgetrf(a,[overwrite_a])
		Constructing wrapper function "cgetrf"...
		  lu,piv,info = cgetrf(a,[overwrite_a])
		Constructing wrapper function "zgetrf"...
		  lu,piv,info = zgetrf(a,[overwrite_a])
		Constructing wrapper function "sgetrs"...
		  x,info = sgetrs(lu,piv,b,[trans,overwrite_b])
		Constructing wrapper function "dgetrs"...
		  x,info = dgetrs(lu,piv,b,[trans,overwrite_b])
		Constructing wrapper function "cgetrs"...
		  x,info = cgetrs(lu,piv,b,[trans,overwrite_b])
		Constructing wrapper function "zgetrs"...
		  x,info = zgetrs(lu,piv,b,[trans,overwrite_b])
		Constructing wrapper function "sgetri"...
		  inv_a,info = sgetri(lu,piv,[lwork,overwrite_lu])
		Constructing wrapper function "dgetri"...
		  inv_a,info = dgetri(lu,piv,[lwork,overwrite_lu])
		Constructing wrapper function "cgetri"...
		  inv_a,info = cgetri(lu,piv,[lwork,overwrite_lu])
		Constructing wrapper function "zgetri"...
		  inv_a,info = zgetri(lu,piv,[lwork,overwrite_lu])
		Constructing wrapper function "sgetri_lwork"...
		  work,info = sgetri_lwork(n)
		Constructing wrapper function "dgetri_lwork"...
		  work,info = dgetri_lwork(n)
		Constructing wrapper function "cgetri_lwork"...
		  work,info = cgetri_lwork(n)
		Constructing wrapper function "zgetri_lwork"...
		  work,info = zgetri_lwork(n)
		Constructing wrapper function "sgesdd"...
		  u,s,vt,info = sgesdd(a,[compute_uv,full_matrices,lwork,overwrite_a])
		Constructing wrapper function "dgesdd"...
		  u,s,vt,info = dgesdd(a,[compute_uv,full_matrices,lwork,overwrite_a])
		Constructing wrapper function "sgesdd_lwork"...
		  work,info = sgesdd_lwork(m,n,[compute_uv,full_matrices])
		Constructing wrapper function "dgesdd_lwork"...
		  work,info = dgesdd_lwork(m,n,[compute_uv,full_matrices])
		Constructing wrapper function "cgesdd"...
		  u,s,vt,info = cgesdd(a,[compute_uv,full_matrices,lwork,overwrite_a])
		Constructing wrapper function "zgesdd"...
		  u,s,vt,info = zgesdd(a,[compute_uv,full_matrices,lwork,overwrite_a])
		Constructing wrapper function "cgesdd_lwork"...
		  work,info = cgesdd_lwork(m,n,[compute_uv,full_matrices])
		Constructing wrapper function "zgesdd_lwork"...
		  work,info = zgesdd_lwork(m,n,[compute_uv,full_matrices])
		Constructing wrapper function "sgesvd"...
		  u,s,vt,info = sgesvd(a,[compute_uv,full_matrices,lwork,overwrite_a])
		Constructing wrapper function "dgesvd"...
		  u,s,vt,info = dgesvd(a,[compute_uv,full_matrices,lwork,overwrite_a])
		Constructing wrapper function "sgesvd_lwork"...
		  work,info = sgesvd_lwork(m,n,[compute_uv,full_matrices])
		Constructing wrapper function "dgesvd_lwork"...
		  work,info = dgesvd_lwork(m,n,[compute_uv,full_matrices])
		Constructing wrapper function "cgesvd"...
		  u,s,vt,info = cgesvd(a,[compute_uv,full_matrices,lwork,overwrite_a])
		Constructing wrapper function "zgesvd"...
		  u,s,vt,info = zgesvd(a,[compute_uv,full_matrices,lwork,overwrite_a])
		Constructing wrapper function "cgesvd_lwork"...
		  work,info = cgesvd_lwork(m,n,[compute_uv,full_matrices])
		Constructing wrapper function "zgesvd_lwork"...
		  work,info = zgesvd_lwork(m,n,[compute_uv,full_matrices])
		Constructing wrapper function "sgelss"...
		  v,x,s,rank,work,info = sgelss(a,b,[cond,lwork,overwrite_a,overwrite_b])
		Constructing wrapper function "dgelss"...
		  v,x,s,rank,work,info = dgelss(a,b,[cond,lwork,overwrite_a,overwrite_b])
		Constructing wrapper function "sgelss_lwork"...
		  work,info = sgelss_lwork(m,n,nrhs,[cond,lwork])
		Constructing wrapper function "dgelss_lwork"...
		  work,info = dgelss_lwork(m,n,nrhs,[cond,lwork])
		Constructing wrapper function "cgelss"...
		  v,x,s,rank,work,info = cgelss(a,b,[cond,lwork,overwrite_a,overwrite_b])
		Constructing wrapper function "zgelss"...
		  v,x,s,rank,work,info = zgelss(a,b,[cond,lwork,overwrite_a,overwrite_b])
		Constructing wrapper function "slasd4"...
		  delta,sigma,work,info = slasd4(i,d,z,[rho])
		Constructing wrapper function "dlasd4"...
		  delta,sigma,work,info = dlasd4(i,d,z,[rho])
		Constructing wrapper function "cgelss_lwork"...
		  work,info = cgelss_lwork(m,n,nrhs,[cond,lwork])
		Constructing wrapper function "zgelss_lwork"...
		  work,info = zgelss_lwork(m,n,nrhs,[cond,lwork])
		Constructing wrapper function "sgelsy"...
		  v,x,j,rank,info = sgelsy(a,b,jptv,cond,lwork,[overwrite_a,overwrite_b])
		Constructing wrapper function "dgelsy"...
		  v,x,j,rank,info = dgelsy(a,b,jptv,cond,lwork,[overwrite_a,overwrite_b])
		Constructing wrapper function "sgelsy_lwork"...
		  work,info = sgelsy_lwork(m,n,nrhs,cond,[lwork])
		Constructing wrapper function "dgelsy_lwork"...
		  work,info = dgelsy_lwork(m,n,nrhs,cond,[lwork])
		Constructing wrapper function "cgelsy"...
		  v,x,j,rank,info = cgelsy(a,b,jptv,cond,lwork,[overwrite_a,overwrite_b])
		Constructing wrapper function "zgelsy"...
		  v,x,j,rank,info = zgelsy(a,b,jptv,cond,lwork,[overwrite_a,overwrite_b])
		Constructing wrapper function "cgelsy_lwork"...
		  work,info = cgelsy_lwork(m,n,nrhs,cond,[lwork])
		Constructing wrapper function "zgelsy_lwork"...
		  work,info = zgelsy_lwork(m,n,nrhs,cond,[lwork])
		Constructing wrapper function "sgelsd"...
		  x,s,rank,info = sgelsd(a,b,lwork,size_iwork,[cond,overwrite_a,overwrite_b])
		Constructing wrapper function "dgelsd"...
		  x,s,rank,info = dgelsd(a,b,lwork,size_iwork,[cond,overwrite_a,overwrite_b])
		Constructing wrapper function "sgelsd_lwork"...
		  work,iwork,info = sgelsd_lwork(m,n,nrhs,[cond,lwork])
		Constructing wrapper function "dgelsd_lwork"...
		  work,iwork,info = dgelsd_lwork(m,n,nrhs,[cond,lwork])
		Constructing wrapper function "cgelsd"...
		  x,s,rank,info = cgelsd(a,b,lwork,size_rwork,size_iwork,[cond,overwrite_a,overwrite_b])
		Constructing wrapper function "zgelsd"...
		  x,s,rank,info = zgelsd(a,b,lwork,size_rwork,size_iwork,[cond,overwrite_a,overwrite_b])
		Constructing wrapper function "cgelsd_lwork"...
		  work,rwork,iwork,info = cgelsd_lwork(m,n,nrhs,[cond,lwork])
		Constructing wrapper function "zgelsd_lwork"...
		  work,rwork,iwork,info = zgelsd_lwork(m,n,nrhs,[cond,lwork])
		Constructing wrapper function "sgeqp3"...
		  qr,jpvt,tau,work,info = sgeqp3(a,[lwork,overwrite_a])
		Constructing wrapper function "dgeqp3"...
		  qr,jpvt,tau,work,info = dgeqp3(a,[lwork,overwrite_a])
		Constructing wrapper function "cgeqp3"...
		  qr,jpvt,tau,work,info = cgeqp3(a,[lwork,overwrite_a])
		Constructing wrapper function "zgeqp3"...
		  qr,jpvt,tau,work,info = zgeqp3(a,[lwork,overwrite_a])
		Constructing wrapper function "sgeqrf"...
		  qr,tau,work,info = sgeqrf(a,[lwork,overwrite_a])
		Constructing wrapper function "dgeqrf"...
		  qr,tau,work,info = dgeqrf(a,[lwork,overwrite_a])
		Constructing wrapper function "cgeqrf"...
		  qr,tau,work,info = cgeqrf(a,[lwork,overwrite_a])
		Constructing wrapper function "zgeqrf"...
		  qr,tau,work,info = zgeqrf(a,[lwork,overwrite_a])
		Constructing wrapper function "sgerqf"...
		  qr,tau,work,info = sgerqf(a,[lwork,overwrite_a])
		Constructing wrapper function "dgerqf"...
		  qr,tau,work,info = dgerqf(a,[lwork,overwrite_a])
		Constructing wrapper function "cgerqf"...
		  qr,tau,work,info = cgerqf(a,[lwork,overwrite_a])
		Constructing wrapper function "zgerqf"...
		  qr,tau,work,info = zgerqf(a,[lwork,overwrite_a])
		Constructing wrapper function "sorgqr"...
		  q,work,info = sorgqr(a,tau,[lwork,overwrite_a])
		Constructing wrapper function "dorgqr"...
		  q,work,info = dorgqr(a,tau,[lwork,overwrite_a])
		Constructing wrapper function "cungqr"...
		  q,work,info = cungqr(a,tau,[lwork,overwrite_a])
		Constructing wrapper function "zungqr"...
		  q,work,info = zungqr(a,tau,[lwork,overwrite_a])
		Constructing wrapper function "sormqr"...
		  cq,work,info = sormqr(side,trans,a,tau,c,lwork,[overwrite_c])
		Constructing wrapper function "dormqr"...
		  cq,work,info = dormqr(side,trans,a,tau,c,lwork,[overwrite_c])
		Constructing wrapper function "cunmqr"...
		  cq,work,info = cunmqr(side,trans,a,tau,c,lwork,[overwrite_c])
		Constructing wrapper function "zunmqr"...
		  cq,work,info = zunmqr(side,trans,a,tau,c,lwork,[overwrite_c])
		Constructing wrapper function "sorgrq"...
		  q,work,info = sorgrq(a,tau,[lwork,overwrite_a])
		Constructing wrapper function "dorgrq"...
		  q,work,info = dorgrq(a,tau,[lwork,overwrite_a])
		Constructing wrapper function "cungrq"...
		  q,work,info = cungrq(a,tau,[lwork,overwrite_a])
		Constructing wrapper function "zungrq"...
		  q,work,info = zungrq(a,tau,[lwork,overwrite_a])
		Constructing wrapper function "sgeev"...
		  wr,wi,vl,vr,info = sgeev(a,[compute_vl,compute_vr,lwork,overwrite_a])
		Constructing wrapper function "dgeev"...
		  wr,wi,vl,vr,info = dgeev(a,[compute_vl,compute_vr,lwork,overwrite_a])
		Constructing wrapper function "sgeev_lwork"...
		  work,info = sgeev_lwork(n,[compute_vl,compute_vr])
		Constructing wrapper function "dgeev_lwork"...
		  work,info = dgeev_lwork(n,[compute_vl,compute_vr])
		Constructing wrapper function "cgeev"...
		  w,vl,vr,info = cgeev(a,[compute_vl,compute_vr,lwork,overwrite_a])
		Constructing wrapper function "zgeev"...
		  w,vl,vr,info = zgeev(a,[compute_vl,compute_vr,lwork,overwrite_a])
		Constructing wrapper function "cgeev_lwork"...
		  work,info = cgeev_lwork(n,[compute_vl,compute_vr])
		Constructing wrapper function "zgeev_lwork"...
		  work,info = zgeev_lwork(n,[compute_vl,compute_vr])
		Constructing wrapper function "sgegv"...
		  alphar,alphai,beta,vl,vr,info = sgegv(a,b,[compute_vl,compute_vr,lwork,overwrite_a,overwrite_b])
		Constructing wrapper function "dgegv"...
		  alphar,alphai,beta,vl,vr,info = dgegv(a,b,[compute_vl,compute_vr,lwork,overwrite_a,overwrite_b])
		Constructing wrapper function "cgegv"...
		  alpha,beta,vl,vr,info = cgegv(a,b,[compute_vl,compute_vr,lwork,overwrite_a,overwrite_b])
		Constructing wrapper function "zgegv"...
		  alpha,beta,vl,vr,info = zgegv(a,b,[compute_vl,compute_vr,lwork,overwrite_a,overwrite_b])
		Constructing wrapper function "ssyev"...
		  w,v,info = ssyev(a,[compute_v,lower,lwork,overwrite_a])
		Constructing wrapper function "dsyev"...
		  w,v,info = dsyev(a,[compute_v,lower,lwork,overwrite_a])
		Constructing wrapper function "cheev"...
		  w,v,info = cheev(a,[compute_v,lower,lwork,overwrite_a])
		Constructing wrapper function "zheev"...
		  w,v,info = zheev(a,[compute_v,lower,lwork,overwrite_a])
		Constructing wrapper function "ssyevd"...
		  w,v,info = ssyevd(a,[compute_v,lower,lwork,overwrite_a])
		Constructing wrapper function "dsyevd"...
		  w,v,info = dsyevd(a,[compute_v,lower,lwork,overwrite_a])
		Constructing wrapper function "cheevd"...
		  w,v,info = cheevd(a,[compute_v,lower,lwork,overwrite_a])
		Constructing wrapper function "zheevd"...
		  w,v,info = zheevd(a,[compute_v,lower,lwork,overwrite_a])
		Constructing wrapper function "sposv"...
		  c,x,info = sposv(a,b,[lower,overwrite_a,overwrite_b])
		Constructing wrapper function "dposv"...
		  c,x,info = dposv(a,b,[lower,overwrite_a,overwrite_b])
		Constructing wrapper function "cposv"...
		  c,x,info = cposv(a,b,[lower,overwrite_a,overwrite_b])
		Constructing wrapper function "zposv"...
		  c,x,info = zposv(a,b,[lower,overwrite_a,overwrite_b])
		Constructing wrapper function "spotrf"...
		  c,info = spotrf(a,[lower,clean,overwrite_a])
		Constructing wrapper function "dpotrf"...
		  c,info = dpotrf(a,[lower,clean,overwrite_a])
		Constructing wrapper function "cpotrf"...
		  c,info = cpotrf(a,[lower,clean,overwrite_a])
		Constructing wrapper function "zpotrf"...
		  c,info = zpotrf(a,[lower,clean,overwrite_a])
		Constructing wrapper function "spotrs"...
		  x,info = spotrs(c,b,[lower,overwrite_b])
		Constructing wrapper function "dpotrs"...
		  x,info = dpotrs(c,b,[lower,overwrite_b])
		Constructing wrapper function "cpotrs"...
		  x,info = cpotrs(c,b,[lower,overwrite_b])
		Constructing wrapper function "zpotrs"...
		  x,info = zpotrs(c,b,[lower,overwrite_b])
		Constructing wrapper function "spotri"...
		  inv_a,info = spotri(c,[lower,overwrite_c])
		Constructing wrapper function "dpotri"...
		  inv_a,info = dpotri(c,[lower,overwrite_c])
		Constructing wrapper function "cpotri"...
		  inv_a,info = cpotri(c,[lower,overwrite_c])
		Constructing wrapper function "zpotri"...
		  inv_a,info = zpotri(c,[lower,overwrite_c])
		Constructing wrapper function "slauum"...
		  a,info = slauum(c,[lower,overwrite_c])
		Constructing wrapper function "dlauum"...
		  a,info = dlauum(c,[lower,overwrite_c])
		Constructing wrapper function "clauum"...
		  a,info = clauum(c,[lower,overwrite_c])
		Constructing wrapper function "zlauum"...
		  a,info = zlauum(c,[lower,overwrite_c])
		Constructing wrapper function "strtri"...
		  inv_c,info = strtri(c,[lower,unitdiag,overwrite_c])
		Constructing wrapper function "dtrtri"...
		  inv_c,info = dtrtri(c,[lower,unitdiag,overwrite_c])
		Constructing wrapper function "ctrtri"...
		  inv_c,info = ctrtri(c,[lower,unitdiag,overwrite_c])
		Constructing wrapper function "ztrtri"...
		  inv_c,info = ztrtri(c,[lower,unitdiag,overwrite_c])
		Constructing wrapper function "strsyl"...
		  x,scale,info = strsyl(a,b,c,[trana,tranb,isgn,overwrite_c])
		Constructing wrapper function "dtrsyl"...
		  x,scale,info = dtrsyl(a,b,c,[trana,tranb,isgn,overwrite_c])
		Constructing wrapper function "ctrsyl"...
		  x,scale,info = ctrsyl(a,b,c,[trana,tranb,isgn,overwrite_c])
		Constructing wrapper function "ztrsyl"...
		  x,scale,info = ztrsyl(a,b,c,[trana,tranb,isgn,overwrite_c])
		Constructing wrapper function "slaswp"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a = slaswp(a,piv,[k1,k2,off,inc,overwrite_a])
		Constructing wrapper function "dlaswp"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a = dlaswp(a,piv,[k1,k2,off,inc,overwrite_a])
		Constructing wrapper function "claswp"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a = claswp(a,piv,[k1,k2,off,inc,overwrite_a])
		Constructing wrapper function "zlaswp"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  a = zlaswp(a,piv,[k1,k2,off,inc,overwrite_a])
		Constructing wrapper function "cgees"...
		  t,sdim,w,vs,work,info = cgees(cselect,a,[compute_v,sort_t,lwork,cselect_extra_args,overwrite_a])
		Constructing wrapper function "zgees"...
		  t,sdim,w,vs,work,info = zgees(zselect,a,[compute_v,sort_t,lwork,zselect_extra_args,overwrite_a])
		Constructing wrapper function "sgees"...
		  t,sdim,wr,wi,vs,work,info = sgees(sselect,a,[compute_v,sort_t,lwork,sselect_extra_args,overwrite_a])
		Constructing wrapper function "dgees"...
		  t,sdim,wr,wi,vs,work,info = dgees(dselect,a,[compute_v,sort_t,lwork,dselect_extra_args,overwrite_a])
		Constructing wrapper function "sggev"...
		  alphar,alphai,beta,vl,vr,work,info = sggev(a,b,[compute_vl,compute_vr,lwork,overwrite_a,overwrite_b])
		Constructing wrapper function "dggev"...
		  alphar,alphai,beta,vl,vr,work,info = dggev(a,b,[compute_vl,compute_vr,lwork,overwrite_a,overwrite_b])
		Constructing wrapper function "cggev"...
		  alpha,beta,vl,vr,work,info = cggev(a,b,[compute_vl,compute_vr,lwork,overwrite_a,overwrite_b])
		Constructing wrapper function "zggev"...
		  alpha,beta,vl,vr,work,info = zggev(a,b,[compute_vl,compute_vr,lwork,overwrite_a,overwrite_b])
		Constructing wrapper function "ssbev"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  w,z,info = ssbev(ab,[compute_v,lower,ldab,overwrite_ab])
		Constructing wrapper function "dsbev"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  w,z,info = dsbev(ab,[compute_v,lower,ldab,overwrite_ab])
		Constructing wrapper function "ssbevd"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  w,z,info = ssbevd(ab,[compute_v,lower,ldab,liwork,overwrite_ab])
		Constructing wrapper function "dsbevd"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  w,z,info = dsbevd(ab,[compute_v,lower,ldab,liwork,overwrite_ab])
		Constructing wrapper function "ssbevx"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  w,z,m,ifail,info = ssbevx(ab,vl,vu,il,iu,[ldab,compute_v,range,lower,abstol,mmax,overwrite_ab])
		Constructing wrapper function "dsbevx"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  w,z,m,ifail,info = dsbevx(ab,vl,vu,il,iu,[ldab,compute_v,range,lower,abstol,mmax,overwrite_ab])
		Constructing wrapper function "chbevd"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  w,z,info = chbevd(ab,[compute_v,lower,ldab,lrwork,liwork,overwrite_ab])
		Constructing wrapper function "zhbevd"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  w,z,info = zhbevd(ab,[compute_v,lower,ldab,lrwork,liwork,overwrite_ab])
		Constructing wrapper function "chbevx"...
warning: callstatement is defined without callprotoargument
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  w,z,m,ifail,info = chbevx(ab,vl,vu,il,iu,[ldab,compute_v,range,lower,abstol,mmax,overwrite_ab])
		Constructing wrapper function "zhbevx"...
warning: callstatement is defined without callprotoargument
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  w,z,m,ifail,info = zhbevx(ab,vl,vu,il,iu,[ldab,compute_v,range,lower,abstol,mmax,overwrite_ab])
		Creating wrapper for Fortran function "dlamch"("dlamch")...
		Constructing wrapper function "dlamch"...
		  dlamch = dlamch(cmach)
		Creating wrapper for Fortran function "slamch"("wslamch")...
		Constructing wrapper function "slamch"...
		  slamch = slamch(cmach)
		Constructing wrapper function "sgbtrf"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  lu,ipiv,info = sgbtrf(ab,kl,ku,[m,n,ldab,overwrite_ab])
		Constructing wrapper function "dgbtrf"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  lu,ipiv,info = dgbtrf(ab,kl,ku,[m,n,ldab,overwrite_ab])
		Constructing wrapper function "cgbtrf"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  lu,ipiv,info = cgbtrf(ab,kl,ku,[m,n,ldab,overwrite_ab])
		Constructing wrapper function "zgbtrf"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  lu,ipiv,info = zgbtrf(ab,kl,ku,[m,n,ldab,overwrite_ab])
		Constructing wrapper function "sgbtrs"...
warning: callstatement is defined without callprotoargument
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x,info = sgbtrs(ab,kl,ku,b,ipiv,[trans,n,ldab,ldb,overwrite_b])
		Constructing wrapper function "dgbtrs"...
warning: callstatement is defined without callprotoargument
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x,info = dgbtrs(ab,kl,ku,b,ipiv,[trans,n,ldab,ldb,overwrite_b])
		Constructing wrapper function "cgbtrs"...
warning: callstatement is defined without callprotoargument
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x,info = cgbtrs(ab,kl,ku,b,ipiv,[trans,n,ldab,ldb,overwrite_b])
		Constructing wrapper function "zgbtrs"...
warning: callstatement is defined without callprotoargument
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x,info = zgbtrs(ab,kl,ku,b,ipiv,[trans,n,ldab,ldb,overwrite_b])
		Constructing wrapper function "ssyevr"...
		  w,z,info = ssyevr(a,[jobz,range,uplo,il,iu,lwork,overwrite_a])
		Constructing wrapper function "dsyevr"...
		  w,z,info = dsyevr(a,[jobz,range,uplo,il,iu,lwork,overwrite_a])
		Constructing wrapper function "cheevr"...
		  w,z,info = cheevr(a,[jobz,range,uplo,il,iu,lwork,overwrite_a])
		Constructing wrapper function "zheevr"...
		  w,z,info = zheevr(a,[jobz,range,uplo,il,iu,lwork,overwrite_a])
		Constructing wrapper function "ssygv"...
		  a,w,info = ssygv(a,b,[itype,jobz,uplo,overwrite_a,overwrite_b])
		Constructing wrapper function "dsygv"...
		  a,w,info = dsygv(a,b,[itype,jobz,uplo,overwrite_a,overwrite_b])
		Constructing wrapper function "chegv"...
		  a,w,info = chegv(a,b,[itype,jobz,uplo,overwrite_a,overwrite_b])
		Constructing wrapper function "zhegv"...
		  a,w,info = zhegv(a,b,[itype,jobz,uplo,overwrite_a,overwrite_b])
		Constructing wrapper function "ssygvd"...
		  a,w,info = ssygvd(a,b,[itype,jobz,uplo,lwork,overwrite_a,overwrite_b])
		Constructing wrapper function "dsygvd"...
		  a,w,info = dsygvd(a,b,[itype,jobz,uplo,lwork,overwrite_a,overwrite_b])
		Constructing wrapper function "chegvd"...
		  a,w,info = chegvd(a,b,[itype,jobz,uplo,lwork,overwrite_a,overwrite_b])
		Constructing wrapper function "zhegvd"...
		  a,w,info = zhegvd(a,b,[itype,jobz,uplo,lwork,overwrite_a,overwrite_b])
		Constructing wrapper function "ssygvx"...
		  w,z,ifail,info = ssygvx(a,b,iu,[itype,jobz,uplo,il,lwork,overwrite_a,overwrite_b])
		Constructing wrapper function "dsygvx"...
		  w,z,ifail,info = dsygvx(a,b,iu,[itype,jobz,uplo,il,lwork,overwrite_a,overwrite_b])
		Constructing wrapper function "chegvx"...
		  w,z,ifail,info = chegvx(a,b,iu,[itype,jobz,uplo,il,lwork,overwrite_a,overwrite_b])
		Constructing wrapper function "zhegvx"...
		  w,z,ifail,info = zhegvx(a,b,iu,[itype,jobz,uplo,il,lwork,overwrite_a,overwrite_b])
		Creating wrapper for Fortran function "slange"("wslange")...
		Constructing wrapper function "slange"...
		  n2 = slange(norm,a)
		Creating wrapper for Fortran function "dlange"("dlange")...
		Constructing wrapper function "dlange"...
		  n2 = dlange(norm,a)
		Creating wrapper for Fortran function "clange"("wclange")...
		Constructing wrapper function "clange"...
		  n2 = clange(norm,a)
		Creating wrapper for Fortran function "zlange"("zlange")...
		Constructing wrapper function "zlange"...
		  n2 = zlange(norm,a)
		Constructing wrapper function "slarfg"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  alpha,x,tau = slarfg(n,alpha,x,[incx,overwrite_x])
		Constructing wrapper function "dlarfg"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  alpha,x,tau = dlarfg(n,alpha,x,[incx,overwrite_x])
		Constructing wrapper function "clarfg"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  alpha,x,tau = clarfg(n,alpha,x,[incx,overwrite_x])
		Constructing wrapper function "zlarfg"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  alpha,x,tau = zlarfg(n,alpha,x,[incx,overwrite_x])
		Constructing wrapper function "slarf"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  c = slarf(v,tau,c,work,[side,incv,overwrite_c])
		Constructing wrapper function "dlarf"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  c = dlarf(v,tau,c,work,[side,incv,overwrite_c])
		Constructing wrapper function "clarf"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  c = clarf(v,tau,c,work,[side,incv,overwrite_c])
		Constructing wrapper function "zlarf"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  c = zlarf(v,tau,c,work,[side,incv,overwrite_c])
		Constructing wrapper function "slartg"...
		  cs,sn,r = slartg(f,g)
		Constructing wrapper function "dlartg"...
		  cs,sn,r = dlartg(f,g)
		Constructing wrapper function "clartg"...
		  cs,sn,r = clartg(f,g)
		Constructing wrapper function "zlartg"...
		  cs,sn,r = zlartg(f,g)
		Constructing wrapper function "crot"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x,y = crot(x,y,c,s,[n,offx,incx,offy,incy,overwrite_x,overwrite_y])
		Constructing wrapper function "zrot"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x,y = zrot(x,y,c,s,[n,offx,incx,offy,incy,overwrite_x,overwrite_y])
		Constructing wrapper function "ilaver"...
		  major,minor,patch = ilaver()
	Wrote C/API module "_flapack" to file "build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c"
	Fortran 77 wrappers are saved to "build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapack-f2pywrappers.f"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
  adding 'build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapack-f2pywrappers.f' to sources.
building extension "scipy.linalg._cblas" sources
from_template:> build/src.linux-x86_64-2.7/scipy/linalg/cblas.pyf
Including file scipy/linalg/cblas_l1.pyf.src
f2py options: []
f2py: build/src.linux-x86_64-2.7/scipy/linalg/cblas.pyf
Reading fortran codes...
	Reading file 'build/src.linux-x86_64-2.7/scipy/linalg/cblas.pyf' (format:free)
Line #33 in build/src.linux-x86_64-2.7/scipy/linalg/cblas.pyf:"  intent(c)"
	All arguments will have attribute intent(c)
Line #57 in build/src.linux-x86_64-2.7/scipy/linalg/cblas.pyf:"  intent(c)"
	All arguments will have attribute intent(c)
Line #81 in build/src.linux-x86_64-2.7/scipy/linalg/cblas.pyf:"  intent(c)"
	All arguments will have attribute intent(c)
Line #105 in build/src.linux-x86_64-2.7/scipy/linalg/cblas.pyf:"  intent(c)"
	All arguments will have attribute intent(c)
Post-processing...
	Block: _cblas
			Block: saxpy
			Block: daxpy
			Block: caxpy
			Block: zaxpy
Post-processing (stage 2)...
Building modules...
	Building module "_cblas"...
		Constructing wrapper function "saxpy"...
		  z = saxpy(x,y,[n,a,incx,incy,overwrite_y])
		Constructing wrapper function "daxpy"...
		  z = daxpy(x,y,[n,a,incx,incy,overwrite_y])
		Constructing wrapper function "caxpy"...
		  z = caxpy(x,y,[n,a,incx,incy,overwrite_y])
		Constructing wrapper function "zaxpy"...
		  z = zaxpy(x,y,[n,a,incx,incy,overwrite_y])
	Wrote C/API module "_cblas" to file "build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_cblasmodule.c"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.linalg._clapack" sources
from_template:> build/src.linux-x86_64-2.7/scipy/linalg/clapack.pyf
f2py options: []
f2py: build/src.linux-x86_64-2.7/scipy/linalg/clapack.pyf
Reading fortran codes...
	Reading file 'build/src.linux-x86_64-2.7/scipy/linalg/clapack.pyf' (format:free)
Post-processing...
	Block: _clapack
			Block: sgesv
			Block: dgesv
			Block: cgesv
			Block: zgesv
			Block: sposv
			Block: dposv
			Block: cposv
			Block: zposv
			Block: slauum
			Block: dlauum
			Block: clauum
			Block: zlauum
			Block: strtri
			Block: dtrtri
			Block: ctrtri
			Block: ztrtri
Post-processing (stage 2)...
Building modules...
	Building module "_clapack"...
		Constructing wrapper function "sgesv"...
		  lu,piv,x,info = sgesv(a,b,[rowmajor,overwrite_a,overwrite_b])
		Constructing wrapper function "dgesv"...
		  lu,piv,x,info = dgesv(a,b,[rowmajor,overwrite_a,overwrite_b])
		Constructing wrapper function "cgesv"...
		  lu,piv,x,info = cgesv(a,b,[rowmajor,overwrite_a,overwrite_b])
		Constructing wrapper function "zgesv"...
		  lu,piv,x,info = zgesv(a,b,[rowmajor,overwrite_a,overwrite_b])
		Constructing wrapper function "sposv"...
		  c,x,info = sposv(a,b,[lower,rowmajor,overwrite_a,overwrite_b])
		Constructing wrapper function "dposv"...
		  c,x,info = dposv(a,b,[lower,rowmajor,overwrite_a,overwrite_b])
		Constructing wrapper function "cposv"...
		  c,x,info = cposv(a,b,[lower,rowmajor,overwrite_a,overwrite_b])
		Constructing wrapper function "zposv"...
		  c,x,info = zposv(a,b,[lower,rowmajor,overwrite_a,overwrite_b])
		Constructing wrapper function "slauum"...
		  a,info = slauum(c,[lower,rowmajor,overwrite_c])
		Constructing wrapper function "dlauum"...
		  a,info = dlauum(c,[lower,rowmajor,overwrite_c])
		Constructing wrapper function "clauum"...
		  a,info = clauum(c,[lower,rowmajor,overwrite_c])
		Constructing wrapper function "zlauum"...
		  a,info = zlauum(c,[lower,rowmajor,overwrite_c])
		Constructing wrapper function "strtri"...
		  inv_c,info = strtri(c,[lower,unitdiag,rowmajor,overwrite_c])
		Constructing wrapper function "dtrtri"...
		  inv_c,info = dtrtri(c,[lower,unitdiag,rowmajor,overwrite_c])
		Constructing wrapper function "ctrtri"...
		  inv_c,info = ctrtri(c,[lower,unitdiag,rowmajor,overwrite_c])
		Constructing wrapper function "ztrtri"...
		  inv_c,info = ztrtri(c,[lower,unitdiag,rowmajor,overwrite_c])
	Wrote C/API module "_clapack" to file "build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.linalg._flinalg" sources
f2py options: []
f2py:> build/src.linux-x86_64-2.7/scipy/linalg/_flinalgmodule.c
Reading fortran codes...
	Reading file 'scipy/linalg/src/det.f' (format:fix,strict)
	Reading file 'scipy/linalg/src/lu.f' (format:fix,strict)
Post-processing...
	Block: _flinalg
{'attrspec': ['intent(out)']}
In: :_flinalg:scipy/linalg/src/det.f:ddet_c
vars2fortran: No typespec for argument "info".
			Block: ddet_c
{'attrspec': ['intent(out)']}
In: :_flinalg:scipy/linalg/src/det.f:ddet_r
vars2fortran: No typespec for argument "info".
			Block: ddet_r
{'attrspec': ['intent(out)']}
In: :_flinalg:scipy/linalg/src/det.f:sdet_c
vars2fortran: No typespec for argument "info".
			Block: sdet_c
{'attrspec': ['intent(out)']}
In: :_flinalg:scipy/linalg/src/det.f:sdet_r
vars2fortran: No typespec for argument "info".
			Block: sdet_r
{'attrspec': ['intent(out)']}
In: :_flinalg:scipy/linalg/src/det.f:zdet_c
vars2fortran: No typespec for argument "info".
			Block: zdet_c
{'attrspec': ['intent(out)']}
In: :_flinalg:scipy/linalg/src/det.f:zdet_r
vars2fortran: No typespec for argument "info".
			Block: zdet_r
{'attrspec': ['intent(out)']}
In: :_flinalg:scipy/linalg/src/det.f:cdet_c
vars2fortran: No typespec for argument "info".
			Block: cdet_c
{'attrspec': ['intent(out)']}
In: :_flinalg:scipy/linalg/src/det.f:cdet_r
vars2fortran: No typespec for argument "info".
			Block: cdet_r
{'attrspec': ['intent(out)']}
In: :_flinalg:scipy/linalg/src/lu.f:dlu_c
vars2fortran: No typespec for argument "info".
			Block: dlu_c
{'attrspec': ['intent(out)']}
In: :_flinalg:scipy/linalg/src/lu.f:zlu_c
vars2fortran: No typespec for argument "info".
			Block: zlu_c
{'attrspec': ['intent(out)']}
In: :_flinalg:scipy/linalg/src/lu.f:slu_c
vars2fortran: No typespec for argument "info".
			Block: slu_c
{'attrspec': ['intent(out)']}
In: :_flinalg:scipy/linalg/src/lu.f:clu_c
vars2fortran: No typespec for argument "info".
			Block: clu_c
Post-processing (stage 2)...
Building modules...
	Building module "_flinalg"...
		Constructing wrapper function "ddet_c"...
		  det,info = ddet_c(a,[overwrite_a])
		Constructing wrapper function "ddet_r"...
		  det,info = ddet_r(a,[overwrite_a])
		Constructing wrapper function "sdet_c"...
		  det,info = sdet_c(a,[overwrite_a])
		Constructing wrapper function "sdet_r"...
		  det,info = sdet_r(a,[overwrite_a])
		Constructing wrapper function "zdet_c"...
		  det,info = zdet_c(a,[overwrite_a])
		Constructing wrapper function "zdet_r"...
		  det,info = zdet_r(a,[overwrite_a])
		Constructing wrapper function "cdet_c"...
		  det,info = cdet_c(a,[overwrite_a])
		Constructing wrapper function "cdet_r"...
		  det,info = cdet_r(a,[overwrite_a])
		Constructing wrapper function "dlu_c"...
		  p,l,u,info = dlu_c(a,[permute_l,overwrite_a])
		Constructing wrapper function "zlu_c"...
		  p,l,u,info = zlu_c(a,[permute_l,overwrite_a])
		Constructing wrapper function "slu_c"...
		  p,l,u,info = slu_c(a,[permute_l,overwrite_a])
		Constructing wrapper function "clu_c"...
		  p,l,u,info = clu_c(a,[permute_l,overwrite_a])
	Wrote C/API module "_flinalg" to file "build/src.linux-x86_64-2.7/scipy/linalg/_flinalgmodule.c"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.linalg._interpolative" sources
f2py options: []
f2py: scipy/linalg/interpolative.pyf
"object of type 'type' has no len()" in evaluating 'len(list)' (available names: [])
"object of type 'type' has no len()" in evaluating 'len(list)' (available names: [])
"object of type 'type' has no len()" in evaluating 'len(list)' (available names: [])
"object of type 'type' has no len()" in evaluating 'len(list)' (available names: [])
"object of type 'type' has no len()" in evaluating 'len(list)' (available names: [])
"object of type 'type' has no len()" in evaluating 'len(list)' (available names: [])
Reading fortran codes...
	Reading file 'scipy/linalg/interpolative.pyf' (format:free)
Post-processing...
	Block: _interpolative
			Block: id_srand
			Block: idd_frm
			Block: idd_sfrm
			Block: idd_frmi
			Block: idd_sfrmi
			Block: iddp_id
			Block: iddr_id
			Block: idd_reconid
			Block: idd_reconint
			Block: idd_copycols
			Block: idd_id2svd
			Block: idd_snorm
In: scipy/linalg/interpolative.pyf:_interpolative:unknown_interface:idd_snorm
get_useparameters: no module idd__user__routines info used by idd_snorm
			Block: idd_diffsnorm
In: scipy/linalg/interpolative.pyf:_interpolative:unknown_interface:idd_diffsnorm
get_useparameters: no module idd__user__routines info used by idd_diffsnorm
			Block: iddr_svd
			Block: iddp_svd
			Block: iddp_aid
			Block: idd_estrank
			Block: iddp_asvd
			Block: iddp_rid
In: scipy/linalg/interpolative.pyf:_interpolative:unknown_interface:iddp_rid
get_useparameters: no module idd__user__routines info used by iddp_rid
			Block: idd_findrank
In: scipy/linalg/interpolative.pyf:_interpolative:unknown_interface:idd_findrank
get_useparameters: no module idd__user__routines info used by idd_findrank
			Block: iddp_rsvd
In: scipy/linalg/interpolative.pyf:_interpolative:unknown_interface:iddp_rsvd
get_useparameters: no module idd__user__routines info used by iddp_rsvd
			Block: iddr_aid
			Block: iddr_aidi
			Block: iddr_asvd
			Block: iddr_rid
In: scipy/linalg/interpolative.pyf:_interpolative:unknown_interface:iddr_rid
get_useparameters: no module idd__user__routines info used by iddr_rid
			Block: iddr_rsvd
In: scipy/linalg/interpolative.pyf:_interpolative:unknown_interface:iddr_rsvd
get_useparameters: no module idd__user__routines info used by iddr_rsvd
			Block: idz_frm
			Block: idz_sfrm
			Block: idz_frmi
			Block: idz_sfrmi
			Block: idzp_id
			Block: idzr_id
			Block: idz_reconid
			Block: idz_reconint
			Block: idz_copycols
			Block: idz_id2svd
			Block: idz_snorm
In: scipy/linalg/interpolative.pyf:_interpolative:unknown_interface:idz_snorm
get_useparameters: no module idz__user__routines info used by idz_snorm
			Block: idz_diffsnorm
In: scipy/linalg/interpolative.pyf:_interpolative:unknown_interface:idz_diffsnorm
get_useparameters: no module idz__user__routines info used by idz_diffsnorm
			Block: idzr_svd
			Block: idzp_svd
			Block: idzp_aid
			Block: idz_estrank
			Block: idzp_asvd
			Block: idzp_rid
In: scipy/linalg/interpolative.pyf:_interpolative:unknown_interface:idzp_rid
get_useparameters: no module idz__user__routines info used by idzp_rid
			Block: idz_findrank
In: scipy/linalg/interpolative.pyf:_interpolative:unknown_interface:idz_findrank
get_useparameters: no module idz__user__routines info used by idz_findrank
			Block: idzp_rsvd
In: scipy/linalg/interpolative.pyf:_interpolative:unknown_interface:idzp_rsvd
get_useparameters: no module idz__user__routines info used by idzp_rsvd
			Block: idzr_aid
			Block: idzr_aidi
			Block: idzr_asvd
			Block: idzr_rid
In: scipy/linalg/interpolative.pyf:_interpolative:unknown_interface:idzr_rid
get_useparameters: no module idz__user__routines info used by idzr_rid
			Block: idzr_rsvd
In: scipy/linalg/interpolative.pyf:_interpolative:unknown_interface:idzr_rsvd
get_useparameters: no module idz__user__routines info used by idzr_rsvd
	Block: idd__user__routines
		Block: idd_user_interface
			Block: matvect
			Block: matvec
			Block: matvect2
			Block: matvec2
	Block: idz__user__routines
		Block: idz_user_interface
			Block: matveca
			Block: matvec
			Block: matveca2
			Block: matvec2
Post-processing (stage 2)...
Building modules...
	Constructing call-back function "cb_matvect_in_idd__user__routines"
	  def matvect(x,[m,n,p1,p2,p3,p4]): return y
	Constructing call-back function "cb_matvec_in_idd__user__routines"
	  def matvec(x,[n,m,p1,p2,p3,p4]): return y
	Constructing call-back function "cb_matvect2_in_idd__user__routines"
	  def matvect2(x,[m,n,p1,p2,p3,p4]): return y
	Constructing call-back function "cb_matvec2_in_idd__user__routines"
	  def matvec2(x,[n,m,p1,p2,p3,p4]): return y
	Constructing call-back function "cb_matveca_in_idz__user__routines"
	  def matveca(x,[m,n,p1,p2,p3,p4]): return y
	Constructing call-back function "cb_matvec_in_idz__user__routines"
	  def matvec(x,[n,m,p1,p2,p3,p4]): return y
	Constructing call-back function "cb_matveca2_in_idz__user__routines"
	  def matveca2(x,[m,n,p1,p2,p3,p4]): return y
	Constructing call-back function "cb_matvec2_in_idz__user__routines"
	  def matvec2(x,[n,m,p1,p2,p3,p4]): return y
	Building module "_interpolative"...
		Constructing wrapper function "id_srand"...
		  r = id_srand(n)
		Constructing wrapper function "id_srandi"...
		  id_srandi(t)
		Constructing wrapper function "id_srando"...
		  id_srando()
		Constructing wrapper function "idd_frm"...
		  y = idd_frm(n,w,x,[m])
		Constructing wrapper function "idd_sfrm"...
		  y = idd_sfrm(l,n,w,x,[m])
		Constructing wrapper function "idd_frmi"...
		  n,w = idd_frmi(m)
		Constructing wrapper function "idd_sfrmi"...
		  n,w = idd_sfrmi(l,m)
		Constructing wrapper function "iddp_id"...
		  krank,list,rnorms = iddp_id(eps,a,[m,n])
		Constructing wrapper function "iddr_id"...
		  list,rnorms = iddr_id(a,krank,[m,n])
		Constructing wrapper function "idd_reconid"...
		  approx = idd_reconid(col,list,proj,[m,krank,n])
		Constructing wrapper function "idd_reconint"...
		  p = idd_reconint(list,proj,[n,krank])
		Constructing wrapper function "idd_copycols"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  col = idd_copycols(a,krank,list,[m,n])
		Constructing wrapper function "idd_id2svd"...
		  u,v,s,ier = idd_id2svd(b,list,proj,[m,krank,n,w])
		Constructing wrapper function "idd_snorm"...
		  snorm,v = idd_snorm(m,n,matvect,matvec,its,[p1t,p2t,p3t,p4t,p1,p2,p3,p4,u,matvect_extra_args,matvec_extra_args])
		Constructing wrapper function "idd_diffsnorm"...
		  snorm = idd_diffsnorm(m,n,matvect,matvect2,matvec,matvec2,its,[p1t,p2t,p3t,p4t,p1t2,p2t2,p3t2,p4t2,p1,p2,p3,p4,p12,p22,p32,p42,w,matvect_extra_args,matvect2_extra_args,matvec_extra_args,matvec2_extra_args])
		Constructing wrapper function "iddr_svd"...
		  u,v,s,ier = iddr_svd(a,krank,[m,n,r])
		Constructing wrapper function "iddp_svd"...
		  krank,iu,iv,is,w,ier = iddp_svd(eps,a,[m,n])
		Constructing wrapper function "iddp_aid"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  krank,list,proj = iddp_aid(eps,a,work,proj,[m,n])
		Constructing wrapper function "idd_estrank"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  krank,ra = idd_estrank(eps,a,w,ra,[m,n])
		Constructing wrapper function "iddp_asvd"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  krank,iu,iv,is,w,ier = iddp_asvd(eps,a,winit,w,[m,n])
		Constructing wrapper function "iddp_rid"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  krank,list,proj,ier = iddp_rid(eps,m,n,matvect,proj,[p1,p2,p3,p4,matvect_extra_args])
		Constructing wrapper function "idd_findrank"...
		  krank,ra,ier = idd_findrank(eps,m,n,matvect,[p1,p2,p3,p4,w,matvect_extra_args])
		Constructing wrapper function "iddp_rsvd"...
		  krank,iu,iv,is,w,ier = iddp_rsvd(eps,m,n,matvect,matvec,[p1t,p2t,p3t,p4t,p1,p2,p3,p4,matvect_extra_args,matvec_extra_args])
		Constructing wrapper function "iddr_aid"...
		  list,proj = iddr_aid(a,krank,w,[m,n])
		Constructing wrapper function "iddr_aidi"...
		  w = iddr_aidi(m,n,krank)
		Constructing wrapper function "iddr_asvd"...
		  u,v,s,ier = iddr_asvd(a,krank,w,[m,n])
		Constructing wrapper function "iddr_rid"...
		  list,proj = iddr_rid(m,n,matvect,krank,[p1,p2,p3,p4,matvect_extra_args])
		Constructing wrapper function "iddr_rsvd"...
		  u,v,s,ier = iddr_rsvd(m,n,matvect,matvec,krank,[p1t,p2t,p3t,p4t,p1,p2,p3,p4,w,matvect_extra_args,matvec_extra_args])
		Constructing wrapper function "idz_frm"...
		  y = idz_frm(n,w,x,[m])
		Constructing wrapper function "idz_sfrm"...
		  y = idz_sfrm(l,n,w,x,[m])
		Constructing wrapper function "idz_frmi"...
		  n,w = idz_frmi(m)
		Constructing wrapper function "idz_sfrmi"...
		  n,w = idz_sfrmi(l,m)
		Constructing wrapper function "idzp_id"...
		  krank,list,rnorms = idzp_id(eps,a,[m,n])
		Constructing wrapper function "idzr_id"...
		  list,rnorms = idzr_id(a,krank,[m,n])
		Constructing wrapper function "idz_reconid"...
		  approx = idz_reconid(col,list,proj,[m,krank,n])
		Constructing wrapper function "idz_reconint"...
		  p = idz_reconint(list,proj,[n,krank])
		Constructing wrapper function "idz_copycols"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  col = idz_copycols(a,krank,list,[m,n])
		Constructing wrapper function "idz_id2svd"...
		  u,v,s,ier = idz_id2svd(b,list,proj,[m,krank,n,w])
		Constructing wrapper function "idz_snorm"...
		  snorm,v = idz_snorm(m,n,matveca,matvec,its,[p1a,p2a,p3a,p4a,p1,p2,p3,p4,u,matveca_extra_args,matvec_extra_args])
		Constructing wrapper function "idz_diffsnorm"...
		  snorm = idz_diffsnorm(m,n,matveca,matveca2,matvec,matvec2,its,[p1a,p2a,p3a,p4a,p1a2,p2a2,p3a2,p4a2,p1,p2,p3,p4,p12,p22,p32,p42,w,matveca_extra_args,matveca2_extra_args,matvec_extra_args,matvec2_extra_args])
		Constructing wrapper function "idzr_svd"...
		  u,v,s,ier = idzr_svd(a,krank,[m,n,r])
		Constructing wrapper function "idzp_svd"...
		  krank,iu,iv,is,w,ier = idzp_svd(eps,a,[m,n])
		Constructing wrapper function "idzp_aid"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  krank,list,proj = idzp_aid(eps,a,work,proj,[m,n])
		Constructing wrapper function "idz_estrank"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  krank,ra = idz_estrank(eps,a,w,ra,[m,n])
		Constructing wrapper function "idzp_asvd"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  krank,iu,iv,is,w,ier = idzp_asvd(eps,a,winit,w,[m,n])
		Constructing wrapper function "idzp_rid"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  krank,list,proj,ier = idzp_rid(eps,m,n,matveca,proj,[p1,p2,p3,p4,matveca_extra_args])
		Constructing wrapper function "idz_findrank"...
		  krank,ra,ier = idz_findrank(eps,m,n,matveca,[p1,p2,p3,p4,w,matveca_extra_args])
		Constructing wrapper function "idzp_rsvd"...
		  krank,iu,iv,is,w,ier = idzp_rsvd(eps,m,n,matveca,matvec,[p1a,p2a,p3a,p4a,p1,p2,p3,p4,matveca_extra_args,matvec_extra_args])
		Constructing wrapper function "idzr_aid"...
		  list,proj = idzr_aid(a,krank,w,[m,n])
		Constructing wrapper function "idzr_aidi"...
		  w = idzr_aidi(m,n,krank)
		Constructing wrapper function "idzr_asvd"...
		  u,v,s,ier = idzr_asvd(a,krank,w,[m,n])
		Constructing wrapper function "idzr_rid"...
		  list,proj = idzr_rid(m,n,matveca,krank,[p1,p2,p3,p4,matveca_extra_args])
		Constructing wrapper function "idzr_rsvd"...
		  u,v,s,ier = idzr_rsvd(m,n,matveca,matvec,krank,[p1a,p2a,p3a,p4a,p1,p2,p3,p4,w,matveca_extra_args,matvec_extra_args])
	Wrote C/API module "_interpolative" to file "build/src.linux-x86_64-2.7/scipy/linalg/_interpolativemodule.c"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.linalg._calc_lwork" sources
f2py options: []
f2py:> build/src.linux-x86_64-2.7/scipy/linalg/_calc_lworkmodule.c
Reading fortran codes...
	Reading file 'scipy/linalg/src/calc_lwork.f' (format:fix,strict)
Post-processing...
	Block: _calc_lwork
			Block: gehrd
			Block: gesdd
			Block: gelss
			Block: getri
			Block: geev
			Block: heev
			Block: syev
			Block: gees
			Block: geqrf
			Block: gqr
Post-processing (stage 2)...
Building modules...
	Building module "_calc_lwork"...
		Constructing wrapper function "gehrd"...
		  minwrk,maxwrk = gehrd(prefix,n,lo,hi)
		Constructing wrapper function "gesdd"...
		  minwrk,maxwrk = gesdd(prefix,m,n,compute_uv)
		Constructing wrapper function "gelss"...
		  minwrk,maxwrk = gelss(prefix,m,n,nrhs)
		Constructing wrapper function "getri"...
		  minwrk,maxwrk = getri(prefix,n)
		Constructing wrapper function "geev"...
		  minwrk,maxwrk = geev(prefix,n,[compute_vl,compute_vr])
		Constructing wrapper function "heev"...
		  minwrk,maxwrk = heev(prefix,n,[lower])
		Constructing wrapper function "syev"...
		  minwrk,maxwrk = syev(prefix,n,[lower])
		Constructing wrapper function "gees"...
		  minwrk,maxwrk = gees(prefix,n,[compute_v])
		Constructing wrapper function "geqrf"...
		  minwrk,maxwrk = geqrf(prefix,m,n)
		Constructing wrapper function "gqr"...
		  minwrk,maxwrk = gqr(prefix,m,n)
	Wrote C/API module "_calc_lwork" to file "build/src.linux-x86_64-2.7/scipy/linalg/_calc_lworkmodule.c"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.linalg._solve_toeplitz" sources
building extension "scipy.linalg.cython_blas" sources
building extension "scipy.linalg.cython_lapack" sources
building extension "scipy.linalg._decomp_update" sources
building extension "scipy.odr.__odrpack" sources
building extension "scipy.optimize._minpack" sources
building extension "scipy.optimize._zeros" sources
building extension "scipy.optimize._lbfgsb" sources
creating build/src.linux-x86_64-2.7/scipy/optimize
creating build/src.linux-x86_64-2.7/scipy/optimize/lbfgsb
f2py options: []
f2py: scipy/optimize/lbfgsb/lbfgsb.pyf
Reading fortran codes...
	Reading file 'scipy/optimize/lbfgsb/lbfgsb.pyf' (format:free)
Post-processing...
	Block: _lbfgsb
			Block: setulb
Post-processing (stage 2)...
Building modules...
	Building module "_lbfgsb"...
		Constructing wrapper function "setulb"...
		  setulb(m,x,l,u,nbd,f,g,factr,pgtol,wa,iwa,task,iprint,csave,lsave,isave,dsave,maxls,[n])
	Wrote C/API module "_lbfgsb" to file "build/src.linux-x86_64-2.7/scipy/optimize/lbfgsb/_lbfgsbmodule.c"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.optimize.moduleTNC" sources
building extension "scipy.optimize._cobyla" sources
creating build/src.linux-x86_64-2.7/scipy/optimize/cobyla
f2py options: []
f2py: scipy/optimize/cobyla/cobyla.pyf
Reading fortran codes...
	Reading file 'scipy/optimize/cobyla/cobyla.pyf' (format:free)
Post-processing...
	Block: _cobyla__user__routines
		Block: _cobyla_user_interface
			Block: calcfc
	Block: _cobyla
			Block: minimize
In: scipy/optimize/cobyla/cobyla.pyf:_cobyla:unknown_interface:minimize
get_useparameters: no module _cobyla__user__routines info used by minimize
Post-processing (stage 2)...
Building modules...
	Constructing call-back function "cb_calcfc_in__cobyla__user__routines"
	  def calcfc(x,con): return f
	Building module "_cobyla"...
		Constructing wrapper function "minimize"...
		  x,dinfo = minimize(calcfc,m,x,rhobeg,rhoend,dinfo,[iprint,maxfun,calcfc_extra_args])
	Wrote C/API module "_cobyla" to file "build/src.linux-x86_64-2.7/scipy/optimize/cobyla/_cobylamodule.c"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.optimize.minpack2" sources
creating build/src.linux-x86_64-2.7/scipy/optimize/minpack2
f2py options: []
f2py: scipy/optimize/minpack2/minpack2.pyf
Reading fortran codes...
	Reading file 'scipy/optimize/minpack2/minpack2.pyf' (format:free)
Post-processing...
	Block: minpack2
			Block: dcsrch
			Block: dcstep
Post-processing (stage 2)...
Building modules...
	Building module "minpack2"...
		Constructing wrapper function "dcsrch"...
		  stp,f,g,task = dcsrch(stp,f,g,ftol,gtol,xtol,task,stpmin,stpmax,isave,dsave)
		Constructing wrapper function "dcstep"...
		  stx,fx,dx,sty,fy,dy,stp,brackt = dcstep(stx,fx,dx,sty,fy,dy,stp,fp,dp,brackt,stpmin,stpmax)
	Wrote C/API module "minpack2" to file "build/src.linux-x86_64-2.7/scipy/optimize/minpack2/minpack2module.c"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.optimize._slsqp" sources
creating build/src.linux-x86_64-2.7/scipy/optimize/slsqp
f2py options: []
f2py: scipy/optimize/slsqp/slsqp.pyf
Reading fortran codes...
	Reading file 'scipy/optimize/slsqp/slsqp.pyf' (format:free)
Post-processing...
	Block: _slsqp
			Block: slsqp
Post-processing (stage 2)...
Building modules...
	Building module "_slsqp"...
		Constructing wrapper function "slsqp"...
		  slsqp(m,meq,x,xl,xu,f,c,g,a,acc,iter,mode,w,jw,[la,n,l_w,l_jw])
	Wrote C/API module "_slsqp" to file "build/src.linux-x86_64-2.7/scipy/optimize/slsqp/_slsqpmodule.c"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.optimize._nnls" sources
creating build/src.linux-x86_64-2.7/scipy/optimize/nnls
f2py options: []
f2py: scipy/optimize/nnls/nnls.pyf
Reading fortran codes...
	Reading file 'scipy/optimize/nnls/nnls.pyf' (format:free)
crackline: groupcounter=1 groupname={0: '', 1: 'python module', 2: 'interface', 3: 'subroutine'}
crackline: Mismatch of blocks encountered. Trying to fix it by assuming "end" statement.
Post-processing...
	Block: _nnls
			Block: nnls
Post-processing (stage 2)...
Building modules...
	Building module "_nnls"...
		Constructing wrapper function "nnls"...
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
getarrdims:warning: assumed shape array, using 0 instead of '*'
		  x,rnorm,mode = nnls(a,m,n,b,w,zz,index_bn,[mda,overwrite_a,overwrite_b])
	Wrote C/API module "_nnls" to file "build/src.linux-x86_64-2.7/scipy/optimize/nnls/_nnlsmodule.c"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.optimize._group_columns" sources
building extension "scipy.optimize._lsq.givens_elimination" sources
building extension "scipy.signal.sigtools" sources
creating build/src.linux-x86_64-2.7/scipy/signal
conv_template:> build/src.linux-x86_64-2.7/scipy/signal/lfilter.c
conv_template:> build/src.linux-x86_64-2.7/scipy/signal/correlate_nd.c
building extension "scipy.signal._spectral" sources
building extension "scipy.signal._max_len_seq_inner" sources
building extension "scipy.signal._upfirdn_apply" sources
building extension "scipy.signal.spline" sources
building extension "scipy.sparse.linalg.isolve._iterative" sources
creating build/src.linux-x86_64-2.7/scipy/sparse
creating build/src.linux-x86_64-2.7/scipy/sparse/linalg
creating build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve
creating build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative
from_template:> build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/STOPTEST2.f
from_template:> build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/getbreak.f
from_template:> build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/BiCGREVCOM.f
from_template:> build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/BiCGSTABREVCOM.f
from_template:> build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/CGREVCOM.f
from_template:> build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/CGSREVCOM.f
from_template:> build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/GMRESREVCOM.f
from_template:> build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/QMRREVCOM.f
from_template:> build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/_iterative.pyf
creating build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse
creating build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg
creating build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve
creating build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative
f2py options: []
f2py: build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/_iterative.pyf
Reading fortran codes...
	Reading file 'build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/_iterative.pyf' (format:free)
Post-processing...
	Block: _iterative
			Block: sbicgrevcom
			Block: dbicgrevcom
			Block: cbicgrevcom
			Block: zbicgrevcom
			Block: sbicgstabrevcom
			Block: dbicgstabrevcom
			Block: cbicgstabrevcom
			Block: zbicgstabrevcom
			Block: scgrevcom
			Block: dcgrevcom
			Block: ccgrevcom
			Block: zcgrevcom
			Block: scgsrevcom
			Block: dcgsrevcom
			Block: ccgsrevcom
			Block: zcgsrevcom
			Block: sqmrrevcom
			Block: dqmrrevcom
			Block: cqmrrevcom
			Block: zqmrrevcom
			Block: sgmresrevcom
			Block: dgmresrevcom
			Block: cgmresrevcom
			Block: zgmresrevcom
			Block: sstoptest2
			Block: dstoptest2
			Block: cstoptest2
			Block: zstoptest2
Post-processing (stage 2)...
Building modules...
	Building module "_iterative"...
		Constructing wrapper function "sbicgrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = sbicgrevcom(b,x,work,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "dbicgrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = dbicgrevcom(b,x,work,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "cbicgrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = cbicgrevcom(b,x,work,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "zbicgrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = zbicgrevcom(b,x,work,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "sbicgstabrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = sbicgstabrevcom(b,x,work,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "dbicgstabrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = dbicgstabrevcom(b,x,work,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "cbicgstabrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = cbicgstabrevcom(b,x,work,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "zbicgstabrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = zbicgstabrevcom(b,x,work,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "scgrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = scgrevcom(b,x,work,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "dcgrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = dcgrevcom(b,x,work,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "ccgrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = ccgrevcom(b,x,work,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "zcgrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = zcgrevcom(b,x,work,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "scgsrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = scgsrevcom(b,x,work,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "dcgsrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = dcgsrevcom(b,x,work,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "ccgsrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = ccgsrevcom(b,x,work,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "zcgsrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = zcgsrevcom(b,x,work,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "sqmrrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = sqmrrevcom(b,x,work,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "dqmrrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = dqmrrevcom(b,x,work,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "cqmrrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = cqmrrevcom(b,x,work,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "zqmrrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = zqmrrevcom(b,x,work,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "sgmresrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = sgmresrevcom(b,x,restrt,work,work2,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "dgmresrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = dgmresrevcom(b,x,restrt,work,work2,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "cgmresrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = cgmresrevcom(b,x,restrt,work,work2,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "zgmresrevcom"...
		  x,iter,resid,info,ndx1,ndx2,sclr1,sclr2,ijob = zgmresrevcom(b,x,restrt,work,work2,iter,resid,info,ndx1,ndx2,ijob)
		Constructing wrapper function "sstoptest2"...
		  bnrm2,resid,info = sstoptest2(r,b,bnrm2,tol,info)
		Constructing wrapper function "dstoptest2"...
		  bnrm2,resid,info = dstoptest2(r,b,bnrm2,tol,info)
		Constructing wrapper function "cstoptest2"...
		  bnrm2,resid,info = cstoptest2(r,b,bnrm2,tol,info)
		Constructing wrapper function "zstoptest2"...
		  bnrm2,resid,info = zstoptest2(r,b,bnrm2,tol,info)
	Wrote C/API module "_iterative" to file "build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/_iterativemodule.c"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.sparse.linalg.dsolve._superlu" sources
building extension "scipy.sparse.linalg.eigen.arpack._arpack" sources
creating build/src.linux-x86_64-2.7/scipy/sparse/linalg/eigen
creating build/src.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack
from_template:> build/src.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/arpack.pyf
creating build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/eigen
creating build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack
f2py options: []
f2py: build/src.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/arpack.pyf
Reading fortran codes...
	Reading file 'build/src.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/arpack.pyf' (format:free)
Line #5 in build/src.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/arpack.pyf:"    <_rd=real,double precision>"
	crackline:1: No pattern for line
Line #6 in build/src.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/arpack.pyf:"    <_cd=complex,double complex>"
	crackline:1: No pattern for line
Post-processing...
	Block: _arpack
			Block: ssaupd
			Block: dsaupd
			Block: sseupd
			Block: dseupd
			Block: snaupd
			Block: dnaupd
			Block: sneupd
			Block: dneupd
			Block: cnaupd
			Block: znaupd
			Block: cneupd
			Block: zneupd
Post-processing (stage 2)...
Building modules...
	Building module "_arpack"...
		Constructing wrapper function "ssaupd"...
		  ido,tol,resid,v,iparam,ipntr,info = ssaupd(ido,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,[n,ncv,ldv,lworkl])
		Constructing wrapper function "dsaupd"...
		  ido,tol,resid,v,iparam,ipntr,info = dsaupd(ido,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,[n,ncv,ldv,lworkl])
		Constructing wrapper function "sseupd"...
		  d,z,info = sseupd(rvec,howmny,select,sigma,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,[ldz,n,ncv,ldv,lworkl])
		Constructing wrapper function "dseupd"...
		  d,z,info = dseupd(rvec,howmny,select,sigma,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,[ldz,n,ncv,ldv,lworkl])
		Constructing wrapper function "snaupd"...
		  ido,tol,resid,v,iparam,ipntr,info = snaupd(ido,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,[n,ncv,ldv,lworkl])
		Constructing wrapper function "dnaupd"...
		  ido,tol,resid,v,iparam,ipntr,info = dnaupd(ido,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,[n,ncv,ldv,lworkl])
		Constructing wrapper function "sneupd"...
		  dr,di,z,info = sneupd(rvec,howmny,select,sigmar,sigmai,workev,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,[ldz,n,ncv,ldv,lworkl])
		Constructing wrapper function "dneupd"...
		  dr,di,z,info = dneupd(rvec,howmny,select,sigmar,sigmai,workev,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,info,[ldz,n,ncv,ldv,lworkl])
		Constructing wrapper function "cnaupd"...
		  ido,tol,resid,v,iparam,ipntr,info = cnaupd(ido,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,rwork,info,[n,ncv,ldv,lworkl])
		Constructing wrapper function "znaupd"...
		  ido,tol,resid,v,iparam,ipntr,info = znaupd(ido,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,rwork,info,[n,ncv,ldv,lworkl])
		Constructing wrapper function "cneupd"...
		  d,z,info = cneupd(rvec,howmny,select,sigma,workev,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,rwork,info,[ldz,n,ncv,ldv,lworkl])
		Constructing wrapper function "zneupd"...
		  d,z,info = zneupd(rvec,howmny,select,sigma,workev,bmat,which,nev,tol,resid,v,iparam,ipntr,workd,workl,rwork,info,[ldz,n,ncv,ldv,lworkl])
		Constructing COMMON block support for "debug"...
		  logfil,ndigit,mgetv0,msaupd,msaup2,msaitr,mseigt,msapps,msgets,mseupd,mnaupd,mnaup2,mnaitr,mneigh,mnapps,mngets,mneupd,mcaupd,mcaup2,mcaitr,mceigh,mcapps,mcgets,mceupd
		Constructing COMMON block support for "timing"...
		  nopx,nbx,nrorth,nitref,nrstrt,tsaupd,tsaup2,tsaitr,tseigt,tsgets,tsapps,tsconv,tnaupd,tnaup2,tnaitr,tneigh,tngets,tnapps,tnconv,tcaupd,tcaup2,tcaitr,tceigh,tcgets,tcapps,tcconv,tmvopx,tmvbx,tgetv0,titref,trvec
	Wrote C/API module "_arpack" to file "build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/_arpackmodule.c"
	Fortran 77 wrappers are saved to "build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/_arpack-f2pywrappers.f"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
  adding 'build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/_arpack-f2pywrappers.f' to sources.
building extension "scipy.sparse.csgraph._shortest_path" sources
building extension "scipy.sparse.csgraph._traversal" sources
building extension "scipy.sparse.csgraph._min_spanning_tree" sources
building extension "scipy.sparse.csgraph._reordering" sources
building extension "scipy.sparse.csgraph._tools" sources
building extension "scipy.sparse._csparsetools" sources
building extension "scipy.sparse._sparsetools" sources
[generate_sparsetools] generating 'scipy/sparse/sparsetools/bsr_impl.h'
[generate_sparsetools] generating 'scipy/sparse/sparsetools/csr_impl.h'
[generate_sparsetools] generating 'scipy/sparse/sparsetools/csc_impl.h'
[generate_sparsetools] generating 'scipy/sparse/sparsetools/other_impl.h'
[generate_sparsetools] generating 'scipy/sparse/sparsetools/sparsetools_impl.h'
building extension "scipy.spatial.qhull" sources
creating build/src.linux-x86_64-2.7/scipy/spatial
customize Gnu95FCompiler
customize Gnu95FCompiler using config
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-I/usr/include/python2.7 -c'
gcc: _configtest.c
gcc -pthread _configtest.o -o _configtest
success!
removing: _configtest.c _configtest.o _configtest
building extension "scipy.spatial.ckdtree" sources
building extension "scipy.spatial._distance_wrap" sources
building extension "scipy.special.specfun" sources
creating build/src.linux-x86_64-2.7/scipy/special
f2py options: ['--no-wrap-functions']
f2py: scipy/special/specfun.pyf
Reading fortran codes...
	Reading file 'scipy/special/specfun.pyf' (format:free)
Post-processing...
	Block: specfun
			Block: clqmn
			Block: lqmn
			Block: clpmn
			Block: jdzo
			Block: bernob
			Block: bernoa
			Block: csphjy
			Block: lpmns
			Block: eulera
			Block: clqn
			Block: airyzo
			Block: eulerb
			Block: cva1
			Block: lqnb
			Block: lamv
			Block: lagzo
			Block: legzo
			Block: pbdv
			Block: cerzo
			Block: lamn
			Block: clpn
			Block: lqmns
			Block: chgm
			Block: lpmn
			Block: fcszo
			Block: aswfb
			Block: lqna
			Block: cpbdn
			Block: lpn
			Block: fcoef
			Block: sphi
			Block: rcty
			Block: lpni
			Block: cyzo
			Block: csphik
			Block: sphj
			Block: othpl
			Block: klvnzo
			Block: jyzo
			Block: rctj
			Block: herzo
			Block: sphk
			Block: pbvv
			Block: segv
			Block: sphy
Post-processing (stage 2)...
Building modules...
	Building module "specfun"...
		Constructing wrapper function "clqmn"...
		  cqm,cqd = clqmn(m,n,z)
		Constructing wrapper function "lqmn"...
		  qm,qd = lqmn(m,n,x)
		Constructing wrapper function "clpmn"...
		  cpm,cpd = clpmn(m,n,x,y,ntype)
		Constructing wrapper function "jdzo"...
		  n,m,pcode,zo = jdzo(nt)
		Constructing wrapper function "bernob"...
		  bn = bernob(n)
		Constructing wrapper function "bernoa"...
		  bn = bernoa(n)
		Constructing wrapper function "csphjy"...
		  nm,csj,cdj,csy,cdy = csphjy(n,z)
		Constructing wrapper function "lpmns"...
		  pm,pd = lpmns(m,n,x)
		Constructing wrapper function "eulera"...
		  en = eulera(n)
		Constructing wrapper function "clqn"...
		  cqn,cqd = clqn(n,z)
		Constructing wrapper function "airyzo"...
		  xa,xb,xc,xd = airyzo(nt,[kf])
		Constructing wrapper function "eulerb"...
		  en = eulerb(n)
		Constructing wrapper function "cva1"...
		  cv = cva1(kd,m,q)
		Constructing wrapper function "lqnb"...
		  qn,qd = lqnb(n,x)
		Constructing wrapper function "lamv"...
		  vm,vl,dl = lamv(v,x)
		Constructing wrapper function "lagzo"...
		  x,w = lagzo(n)
		Constructing wrapper function "legzo"...
		  x,w = legzo(n)
		Constructing wrapper function "pbdv"...
		  dv,dp,pdf,pdd = pbdv(v,x)
		Constructing wrapper function "cerzo"...
		  zo = cerzo(nt)
		Constructing wrapper function "lamn"...
		  nm,bl,dl = lamn(n,x)
		Constructing wrapper function "clpn"...
		  cpn,cpd = clpn(n,z)
		Constructing wrapper function "lqmns"...
		  qm,qd = lqmns(m,n,x)
		Constructing wrapper function "chgm"...
		  hg = chgm(a,b,x)
		Constructing wrapper function "lpmn"...
		  pm,pd = lpmn(m,n,x)
		Constructing wrapper function "fcszo"...
		  zo = fcszo(kf,nt)
		Constructing wrapper function "aswfb"...
		  s1f,s1d = aswfb(m,n,c,x,kd,cv)
		Constructing wrapper function "lqna"...
		  qn,qd = lqna(n,x)
		Constructing wrapper function "cpbdn"...
		  cpb,cpd = cpbdn(n,z)
		Constructing wrapper function "lpn"...
		  pn,pd = lpn(n,x)
		Constructing wrapper function "fcoef"...
		  fc = fcoef(kd,m,q,a)
		Constructing wrapper function "sphi"...
		  nm,si,di = sphi(n,x)
		Constructing wrapper function "rcty"...
		  nm,ry,dy = rcty(n,x)
		Constructing wrapper function "lpni"...
		  pn,pd,pl = lpni(n,x)
		Constructing wrapper function "cyzo"...
		  zo,zv = cyzo(nt,kf,kc)
		Constructing wrapper function "csphik"...
		  nm,csi,cdi,csk,cdk = csphik(n,z)
		Constructing wrapper function "sphj"...
		  nm,sj,dj = sphj(n,x)
		Constructing wrapper function "othpl"...
		  pl,dpl = othpl(kf,n,x)
		Constructing wrapper function "klvnzo"...
		  zo = klvnzo(nt,kd)
		Constructing wrapper function "jyzo"...
		  rj0,rj1,ry0,ry1 = jyzo(n,nt)
		Constructing wrapper function "rctj"...
		  nm,rj,dj = rctj(n,x)
		Constructing wrapper function "herzo"...
		  x,w = herzo(n)
		Constructing wrapper function "sphk"...
		  nm,sk,dk = sphk(n,x)
		Constructing wrapper function "pbvv"...
		  vv,vp,pvf,pvd = pbvv(v,x)
		Constructing wrapper function "segv"...
		  cv,eg = segv(m,n,c,kd)
		Constructing wrapper function "sphy"...
		  nm,sy,dy = sphy(n,x)
	Wrote C/API module "specfun" to file "build/src.linux-x86_64-2.7/scipy/special/specfunmodule.c"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.special._ufuncs" sources
conv_template:> build/src.linux-x86_64-2.7/scipy/special/_logit.c
building extension "scipy.special._ufuncs_cxx" sources
building extension "scipy.special._ellip_harm_2" sources
building extension "scipy.special._comb" sources
building extension "scipy.stats.statlib" sources
creating build/src.linux-x86_64-2.7/scipy/stats
f2py options: ['--no-wrap-functions']
f2py: scipy/stats/statlib.pyf
Reading fortran codes...
	Reading file 'scipy/stats/statlib.pyf' (format:free)
Post-processing...
	Block: statlib
			Block: swilk
			Block: gscale
			Block: prho
Post-processing (stage 2)...
Building modules...
	Building module "statlib"...
		Constructing wrapper function "swilk"...
		  a,w,pw,ifault = swilk(x,a,[init,n1])
		Constructing wrapper function "gscale"...
		  astart,a1,ifault = gscale(test,other)
		Constructing wrapper function "prho"...
		  ifault = prho(n,is)
	Wrote C/API module "statlib" to file "build/src.linux-x86_64-2.7/scipy/stats/statlibmodule.c"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.stats._stats" sources
building extension "scipy.stats.mvn" sources
f2py options: []
f2py: scipy/stats/mvn.pyf
Reading fortran codes...
	Reading file 'scipy/stats/mvn.pyf' (format:free)
Post-processing...
	Block: mvn
			Block: mvnun
			Block: mvndst
Post-processing (stage 2)...
Building modules...
	Building module "mvn"...
		Constructing wrapper function "mvnun"...
		  value,inform = mvnun(lower,upper,means,covar,[maxpts,abseps,releps])
		Constructing wrapper function "mvndst"...
		  error,value,inform = mvndst(lower,upper,infin,correl,[maxpts,abseps,releps])
		Constructing COMMON block support for "dkblck"...
		  ivls
	Wrote C/API module "mvn" to file "build/src.linux-x86_64-2.7/scipy/stats/mvnmodule.c"
	Fortran 77 wrappers are saved to "build/src.linux-x86_64-2.7/scipy/stats/mvn-f2pywrappers.f"
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
  adding 'build/src.linux-x86_64-2.7/scipy/stats/mvn-f2pywrappers.f' to sources.
building extension "scipy.ndimage._nd_image" sources
building extension "scipy.ndimage._ni_label" sources
building data_files sources
build_src: building npy-pkg config files
running build_py
creating build/lib.linux-x86_64-2.7
creating build/lib.linux-x86_64-2.7/scipy
copying scipy/setup.py -> build/lib.linux-x86_64-2.7/scipy
copying scipy/__init__.py -> build/lib.linux-x86_64-2.7/scipy
copying scipy/version.py -> build/lib.linux-x86_64-2.7/scipy
copying build/src.linux-x86_64-2.7/scipy/__config__.py -> build/lib.linux-x86_64-2.7/scipy
creating build/lib.linux-x86_64-2.7/scipy/cluster
copying scipy/cluster/hierarchy.py -> build/lib.linux-x86_64-2.7/scipy/cluster
copying scipy/cluster/setup.py -> build/lib.linux-x86_64-2.7/scipy/cluster
copying scipy/cluster/__init__.py -> build/lib.linux-x86_64-2.7/scipy/cluster
copying scipy/cluster/vq.py -> build/lib.linux-x86_64-2.7/scipy/cluster
creating build/lib.linux-x86_64-2.7/scipy/constants
copying scipy/constants/setup.py -> build/lib.linux-x86_64-2.7/scipy/constants
copying scipy/constants/constants.py -> build/lib.linux-x86_64-2.7/scipy/constants
copying scipy/constants/__init__.py -> build/lib.linux-x86_64-2.7/scipy/constants
copying scipy/constants/codata.py -> build/lib.linux-x86_64-2.7/scipy/constants
creating build/lib.linux-x86_64-2.7/scipy/fftpack
copying scipy/fftpack/fftpack_version.py -> build/lib.linux-x86_64-2.7/scipy/fftpack
copying scipy/fftpack/basic.py -> build/lib.linux-x86_64-2.7/scipy/fftpack
copying scipy/fftpack/setup.py -> build/lib.linux-x86_64-2.7/scipy/fftpack
copying scipy/fftpack/__init__.py -> build/lib.linux-x86_64-2.7/scipy/fftpack
copying scipy/fftpack/pseudo_diffs.py -> build/lib.linux-x86_64-2.7/scipy/fftpack
copying scipy/fftpack/realtransforms.py -> build/lib.linux-x86_64-2.7/scipy/fftpack
copying scipy/fftpack/helper.py -> build/lib.linux-x86_64-2.7/scipy/fftpack
creating build/lib.linux-x86_64-2.7/scipy/integrate
copying scipy/integrate/setup.py -> build/lib.linux-x86_64-2.7/scipy/integrate
copying scipy/integrate/__init__.py -> build/lib.linux-x86_64-2.7/scipy/integrate
copying scipy/integrate/quadrature.py -> build/lib.linux-x86_64-2.7/scipy/integrate
copying scipy/integrate/quadpack.py -> build/lib.linux-x86_64-2.7/scipy/integrate
copying scipy/integrate/_ode.py -> build/lib.linux-x86_64-2.7/scipy/integrate
copying scipy/integrate/_bvp.py -> build/lib.linux-x86_64-2.7/scipy/integrate
copying scipy/integrate/odepack.py -> build/lib.linux-x86_64-2.7/scipy/integrate
creating build/lib.linux-x86_64-2.7/scipy/interpolate
copying scipy/interpolate/fitpack2.py -> build/lib.linux-x86_64-2.7/scipy/interpolate
copying scipy/interpolate/setup.py -> build/lib.linux-x86_64-2.7/scipy/interpolate
copying scipy/interpolate/__init__.py -> build/lib.linux-x86_64-2.7/scipy/interpolate
copying scipy/interpolate/rbf.py -> build/lib.linux-x86_64-2.7/scipy/interpolate
copying scipy/interpolate/interpnd_info.py -> build/lib.linux-x86_64-2.7/scipy/interpolate
copying scipy/interpolate/_cubic.py -> build/lib.linux-x86_64-2.7/scipy/interpolate
copying scipy/interpolate/polyint.py -> build/lib.linux-x86_64-2.7/scipy/interpolate
copying scipy/interpolate/interpolate.py -> build/lib.linux-x86_64-2.7/scipy/interpolate
copying scipy/interpolate/interpolate_wrapper.py -> build/lib.linux-x86_64-2.7/scipy/interpolate
copying scipy/interpolate/ndgriddata.py -> build/lib.linux-x86_64-2.7/scipy/interpolate
copying scipy/interpolate/fitpack.py -> build/lib.linux-x86_64-2.7/scipy/interpolate
creating build/lib.linux-x86_64-2.7/scipy/io
copying scipy/io/setup.py -> build/lib.linux-x86_64-2.7/scipy/io
copying scipy/io/__init__.py -> build/lib.linux-x86_64-2.7/scipy/io
copying scipy/io/idl.py -> build/lib.linux-x86_64-2.7/scipy/io
copying scipy/io/_fortran.py -> build/lib.linux-x86_64-2.7/scipy/io
copying scipy/io/wavfile.py -> build/lib.linux-x86_64-2.7/scipy/io
copying scipy/io/netcdf.py -> build/lib.linux-x86_64-2.7/scipy/io
copying scipy/io/mmio.py -> build/lib.linux-x86_64-2.7/scipy/io
creating build/lib.linux-x86_64-2.7/scipy/io/matlab
copying scipy/io/matlab/mio4.py -> build/lib.linux-x86_64-2.7/scipy/io/matlab
copying scipy/io/matlab/setup.py -> build/lib.linux-x86_64-2.7/scipy/io/matlab
copying scipy/io/matlab/byteordercodes.py -> build/lib.linux-x86_64-2.7/scipy/io/matlab
copying scipy/io/matlab/__init__.py -> build/lib.linux-x86_64-2.7/scipy/io/matlab
copying scipy/io/matlab/mio.py -> build/lib.linux-x86_64-2.7/scipy/io/matlab
copying scipy/io/matlab/mio5.py -> build/lib.linux-x86_64-2.7/scipy/io/matlab
copying scipy/io/matlab/miobase.py -> build/lib.linux-x86_64-2.7/scipy/io/matlab
copying scipy/io/matlab/mio5_params.py -> build/lib.linux-x86_64-2.7/scipy/io/matlab
creating build/lib.linux-x86_64-2.7/scipy/io/arff
copying scipy/io/arff/setup.py -> build/lib.linux-x86_64-2.7/scipy/io/arff
copying scipy/io/arff/__init__.py -> build/lib.linux-x86_64-2.7/scipy/io/arff
copying scipy/io/arff/arffread.py -> build/lib.linux-x86_64-2.7/scipy/io/arff
creating build/lib.linux-x86_64-2.7/scipy/io/harwell_boeing
copying scipy/io/harwell_boeing/setup.py -> build/lib.linux-x86_64-2.7/scipy/io/harwell_boeing
copying scipy/io/harwell_boeing/__init__.py -> build/lib.linux-x86_64-2.7/scipy/io/harwell_boeing
copying scipy/io/harwell_boeing/hb.py -> build/lib.linux-x86_64-2.7/scipy/io/harwell_boeing
copying scipy/io/harwell_boeing/_fortran_format_parser.py -> build/lib.linux-x86_64-2.7/scipy/io/harwell_boeing
creating build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/_decomp_qz.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/_decomp_polar.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/_expm_frechet.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/lapack.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/_matfuncs_inv_ssq.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/blas.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/basic.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/setup.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/interpolative.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/decomp.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/__init__.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/calc_lwork.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/_matfuncs_sqrtm.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/special_matrices.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/_interpolative_backend.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/_testutils.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/decomp_svd.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/matfuncs.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/decomp_cholesky.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/_cython_wrapper_generators.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/misc.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/decomp_lu.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/linalg_version.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/_solvers.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/decomp_schur.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/flinalg.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/_procrustes.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/_cython_signature_generator.py -> build/lib.linux-x86_64-2.7/scipy/linalg
copying scipy/linalg/decomp_qr.py -> build/lib.linux-x86_64-2.7/scipy/linalg
creating build/lib.linux-x86_64-2.7/scipy/misc
copying scipy/misc/setup.py -> build/lib.linux-x86_64-2.7/scipy/misc
copying scipy/misc/common.py -> build/lib.linux-x86_64-2.7/scipy/misc
copying scipy/misc/__init__.py -> build/lib.linux-x86_64-2.7/scipy/misc
copying scipy/misc/doccer.py -> build/lib.linux-x86_64-2.7/scipy/misc
copying scipy/misc/pilutil.py -> build/lib.linux-x86_64-2.7/scipy/misc
creating build/lib.linux-x86_64-2.7/scipy/odr
copying scipy/odr/setup.py -> build/lib.linux-x86_64-2.7/scipy/odr
copying scipy/odr/__init__.py -> build/lib.linux-x86_64-2.7/scipy/odr
copying scipy/odr/odrpack.py -> build/lib.linux-x86_64-2.7/scipy/odr
copying scipy/odr/add_newdocs.py -> build/lib.linux-x86_64-2.7/scipy/odr
copying scipy/odr/models.py -> build/lib.linux-x86_64-2.7/scipy/odr
creating build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/tnc.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/_differentialevolution.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/_numdiff.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/lbfgsb.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/_basinhopping.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/setup.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/zeros.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/_tstutils.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/cobyla.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/__init__.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/slsqp.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/_root.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/_hungarian.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/_trustregion.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/nonlin.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/minpack.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/_trustregion_ncg.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/linesearch.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/_spectral.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/_minimize.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/optimize.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/nnls.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/_trustregion_dogleg.py -> build/lib.linux-x86_64-2.7/scipy/optimize
copying scipy/optimize/_linprog.py -> build/lib.linux-x86_64-2.7/scipy/optimize
creating build/lib.linux-x86_64-2.7/scipy/optimize/_lsq
copying scipy/optimize/_lsq/trf.py -> build/lib.linux-x86_64-2.7/scipy/optimize/_lsq
copying scipy/optimize/_lsq/setup.py -> build/lib.linux-x86_64-2.7/scipy/optimize/_lsq
copying scipy/optimize/_lsq/common.py -> build/lib.linux-x86_64-2.7/scipy/optimize/_lsq
copying scipy/optimize/_lsq/__init__.py -> build/lib.linux-x86_64-2.7/scipy/optimize/_lsq
copying scipy/optimize/_lsq/bvls.py -> build/lib.linux-x86_64-2.7/scipy/optimize/_lsq
copying scipy/optimize/_lsq/dogbox.py -> build/lib.linux-x86_64-2.7/scipy/optimize/_lsq
copying scipy/optimize/_lsq/trf_linear.py -> build/lib.linux-x86_64-2.7/scipy/optimize/_lsq
copying scipy/optimize/_lsq/lsq_linear.py -> build/lib.linux-x86_64-2.7/scipy/optimize/_lsq
copying scipy/optimize/_lsq/least_squares.py -> build/lib.linux-x86_64-2.7/scipy/optimize/_lsq
creating build/lib.linux-x86_64-2.7/scipy/signal
copying scipy/signal/_savitzky_golay.py -> build/lib.linux-x86_64-2.7/scipy/signal
copying scipy/signal/waveforms.py -> build/lib.linux-x86_64-2.7/scipy/signal
copying scipy/signal/_arraytools.py -> build/lib.linux-x86_64-2.7/scipy/signal
copying scipy/signal/_upfirdn.py -> build/lib.linux-x86_64-2.7/scipy/signal
copying scipy/signal/lti_conversion.py -> build/lib.linux-x86_64-2.7/scipy/signal
copying scipy/signal/ltisys.py -> build/lib.linux-x86_64-2.7/scipy/signal
copying scipy/signal/spectral.py -> build/lib.linux-x86_64-2.7/scipy/signal
copying scipy/signal/fir_filter_design.py -> build/lib.linux-x86_64-2.7/scipy/signal
copying scipy/signal/windows.py -> build/lib.linux-x86_64-2.7/scipy/signal
copying scipy/signal/_peak_finding.py -> build/lib.linux-x86_64-2.7/scipy/signal
copying scipy/signal/setup.py -> build/lib.linux-x86_64-2.7/scipy/signal
copying scipy/signal/__init__.py -> build/lib.linux-x86_64-2.7/scipy/signal
copying scipy/signal/wavelets.py -> build/lib.linux-x86_64-2.7/scipy/signal
copying scipy/signal/signaltools.py -> build/lib.linux-x86_64-2.7/scipy/signal
copying scipy/signal/filter_design.py -> build/lib.linux-x86_64-2.7/scipy/signal
copying scipy/signal/_max_len_seq.py -> build/lib.linux-x86_64-2.7/scipy/signal
copying scipy/signal/bsplines.py -> build/lib.linux-x86_64-2.7/scipy/signal
creating build/lib.linux-x86_64-2.7/scipy/sparse
copying scipy/sparse/spfuncs.py -> build/lib.linux-x86_64-2.7/scipy/sparse
copying scipy/sparse/dok.py -> build/lib.linux-x86_64-2.7/scipy/sparse
copying scipy/sparse/bsr.py -> build/lib.linux-x86_64-2.7/scipy/sparse
copying scipy/sparse/construct.py -> build/lib.linux-x86_64-2.7/scipy/sparse
copying scipy/sparse/sputils.py -> build/lib.linux-x86_64-2.7/scipy/sparse
copying scipy/sparse/setup.py -> build/lib.linux-x86_64-2.7/scipy/sparse
copying scipy/sparse/coo.py -> build/lib.linux-x86_64-2.7/scipy/sparse
copying scipy/sparse/data.py -> build/lib.linux-x86_64-2.7/scipy/sparse
copying scipy/sparse/__init__.py -> build/lib.linux-x86_64-2.7/scipy/sparse
copying scipy/sparse/sparsetools.py -> build/lib.linux-x86_64-2.7/scipy/sparse
copying scipy/sparse/lil.py -> build/lib.linux-x86_64-2.7/scipy/sparse
copying scipy/sparse/dia.py -> build/lib.linux-x86_64-2.7/scipy/sparse
copying scipy/sparse/extract.py -> build/lib.linux-x86_64-2.7/scipy/sparse
copying scipy/sparse/compressed.py -> build/lib.linux-x86_64-2.7/scipy/sparse
copying scipy/sparse/csr.py -> build/lib.linux-x86_64-2.7/scipy/sparse
copying scipy/sparse/base.py -> build/lib.linux-x86_64-2.7/scipy/sparse
copying scipy/sparse/csc.py -> build/lib.linux-x86_64-2.7/scipy/sparse
copying scipy/sparse/generate_sparsetools.py -> build/lib.linux-x86_64-2.7/scipy/sparse
creating build/lib.linux-x86_64-2.7/scipy/sparse/linalg
copying scipy/sparse/linalg/_expm_multiply.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg
copying scipy/sparse/linalg/setup.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg
copying scipy/sparse/linalg/interface.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg
copying scipy/sparse/linalg/__init__.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg
copying scipy/sparse/linalg/_onenormest.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg
copying scipy/sparse/linalg/matfuncs.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg
copying scipy/sparse/linalg/_norm.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg
creating build/lib.linux-x86_64-2.7/scipy/sparse/linalg/isolve
copying scipy/sparse/linalg/isolve/lsqr.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg/isolve
copying scipy/sparse/linalg/isolve/setup.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg/isolve
copying scipy/sparse/linalg/isolve/__init__.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg/isolve
copying scipy/sparse/linalg/isolve/lsmr.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg/isolve
copying scipy/sparse/linalg/isolve/minres.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg/isolve
copying scipy/sparse/linalg/isolve/utils.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg/isolve
copying scipy/sparse/linalg/isolve/iterative.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg/isolve
copying scipy/sparse/linalg/isolve/lgmres.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg/isolve
creating build/lib.linux-x86_64-2.7/scipy/sparse/linalg/dsolve
copying scipy/sparse/linalg/dsolve/setup.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg/dsolve
copying scipy/sparse/linalg/dsolve/__init__.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg/dsolve
copying scipy/sparse/linalg/dsolve/linsolve.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg/dsolve
copying scipy/sparse/linalg/dsolve/_add_newdocs.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg/dsolve
creating build/lib.linux-x86_64-2.7/scipy/sparse/linalg/eigen
copying scipy/sparse/linalg/eigen/setup.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg/eigen
copying scipy/sparse/linalg/eigen/__init__.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg/eigen
creating build/lib.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack
copying scipy/sparse/linalg/eigen/arpack/setup.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack
copying scipy/sparse/linalg/eigen/arpack/__init__.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack
copying scipy/sparse/linalg/eigen/arpack/arpack.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack
creating build/lib.linux-x86_64-2.7/scipy/sparse/linalg/eigen/lobpcg
copying scipy/sparse/linalg/eigen/lobpcg/setup.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg/eigen/lobpcg
copying scipy/sparse/linalg/eigen/lobpcg/__init__.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg/eigen/lobpcg
copying scipy/sparse/linalg/eigen/lobpcg/lobpcg.py -> build/lib.linux-x86_64-2.7/scipy/sparse/linalg/eigen/lobpcg
creating build/lib.linux-x86_64-2.7/scipy/sparse/csgraph
copying scipy/sparse/csgraph/_laplacian.py -> build/lib.linux-x86_64-2.7/scipy/sparse/csgraph
copying scipy/sparse/csgraph/_components.py -> build/lib.linux-x86_64-2.7/scipy/sparse/csgraph
copying scipy/sparse/csgraph/setup.py -> build/lib.linux-x86_64-2.7/scipy/sparse/csgraph
copying scipy/sparse/csgraph/__init__.py -> build/lib.linux-x86_64-2.7/scipy/sparse/csgraph
copying scipy/sparse/csgraph/_validation.py -> build/lib.linux-x86_64-2.7/scipy/sparse/csgraph
creating build/lib.linux-x86_64-2.7/scipy/spatial
copying scipy/spatial/_spherical_voronoi.py -> build/lib.linux-x86_64-2.7/scipy/spatial
copying scipy/spatial/setup.py -> build/lib.linux-x86_64-2.7/scipy/spatial
copying scipy/spatial/__init__.py -> build/lib.linux-x86_64-2.7/scipy/spatial
copying scipy/spatial/distance.py -> build/lib.linux-x86_64-2.7/scipy/spatial
copying scipy/spatial/kdtree.py -> build/lib.linux-x86_64-2.7/scipy/spatial
copying scipy/spatial/_plotutils.py -> build/lib.linux-x86_64-2.7/scipy/spatial
copying scipy/spatial/_procrustes.py -> build/lib.linux-x86_64-2.7/scipy/spatial
creating build/lib.linux-x86_64-2.7/scipy/special
copying scipy/special/_mptestutils.py -> build/lib.linux-x86_64-2.7/scipy/special
copying scipy/special/lambertw.py -> build/lib.linux-x86_64-2.7/scipy/special
copying scipy/special/basic.py -> build/lib.linux-x86_64-2.7/scipy/special
copying scipy/special/setup.py -> build/lib.linux-x86_64-2.7/scipy/special
copying scipy/special/__init__.py -> build/lib.linux-x86_64-2.7/scipy/special
copying scipy/special/generate_ufuncs.py -> build/lib.linux-x86_64-2.7/scipy/special
copying scipy/special/_ellip_harm.py -> build/lib.linux-x86_64-2.7/scipy/special
copying scipy/special/_testutils.py -> build/lib.linux-x86_64-2.7/scipy/special
copying scipy/special/add_newdocs.py -> build/lib.linux-x86_64-2.7/scipy/special
copying scipy/special/spfun_stats.py -> build/lib.linux-x86_64-2.7/scipy/special
copying scipy/special/orthogonal.py -> build/lib.linux-x86_64-2.7/scipy/special
copying scipy/special/_spherical_bessel.py -> build/lib.linux-x86_64-2.7/scipy/special
creating build/lib.linux-x86_64-2.7/scipy/special/_precompute
copying scipy/special/_precompute/setup.py -> build/lib.linux-x86_64-2.7/scipy/special/_precompute
copying scipy/special/_precompute/__init__.py -> build/lib.linux-x86_64-2.7/scipy/special/_precompute
copying scipy/special/_precompute/gammainc_asy.py -> build/lib.linux-x86_64-2.7/scipy/special/_precompute
copying scipy/special/_precompute/utils.py -> build/lib.linux-x86_64-2.7/scipy/special/_precompute
copying scipy/special/_precompute/gammainc_data.py -> build/lib.linux-x86_64-2.7/scipy/special/_precompute
creating build/lib.linux-x86_64-2.7/scipy/stats
copying scipy/stats/stats.py -> build/lib.linux-x86_64-2.7/scipy/stats
copying scipy/stats/_distn_infrastructure.py -> build/lib.linux-x86_64-2.7/scipy/stats
copying scipy/stats/mstats_basic.py -> build/lib.linux-x86_64-2.7/scipy/stats
copying scipy/stats/_distr_params.py -> build/lib.linux-x86_64-2.7/scipy/stats
copying scipy/stats/_constants.py -> build/lib.linux-x86_64-2.7/scipy/stats
copying scipy/stats/_multivariate.py -> build/lib.linux-x86_64-2.7/scipy/stats
copying scipy/stats/setup.py -> build/lib.linux-x86_64-2.7/scipy/stats
copying scipy/stats/kde.py -> build/lib.linux-x86_64-2.7/scipy/stats
copying scipy/stats/__init__.py -> build/lib.linux-x86_64-2.7/scipy/stats
copying scipy/stats/morestats.py -> build/lib.linux-x86_64-2.7/scipy/stats
copying scipy/stats/contingency.py -> build/lib.linux-x86_64-2.7/scipy/stats
copying scipy/stats/_stats_mstats_common.py -> build/lib.linux-x86_64-2.7/scipy/stats
copying scipy/stats/_discrete_distns.py -> build/lib.linux-x86_64-2.7/scipy/stats
copying scipy/stats/_tukeylambda_stats.py -> build/lib.linux-x86_64-2.7/scipy/stats
copying scipy/stats/vonmises.py -> build/lib.linux-x86_64-2.7/scipy/stats
copying scipy/stats/mstats.py -> build/lib.linux-x86_64-2.7/scipy/stats
copying scipy/stats/_continuous_distns.py -> build/lib.linux-x86_64-2.7/scipy/stats
copying scipy/stats/_binned_statistic.py -> build/lib.linux-x86_64-2.7/scipy/stats
copying scipy/stats/distributions.py -> build/lib.linux-x86_64-2.7/scipy/stats
copying scipy/stats/mstats_extras.py -> build/lib.linux-x86_64-2.7/scipy/stats
creating build/lib.linux-x86_64-2.7/scipy/ndimage
copying scipy/ndimage/fourier.py -> build/lib.linux-x86_64-2.7/scipy/ndimage
copying scipy/ndimage/setup.py -> build/lib.linux-x86_64-2.7/scipy/ndimage
copying scipy/ndimage/__init__.py -> build/lib.linux-x86_64-2.7/scipy/ndimage
copying scipy/ndimage/_ni_support.py -> build/lib.linux-x86_64-2.7/scipy/ndimage
copying scipy/ndimage/interpolation.py -> build/lib.linux-x86_64-2.7/scipy/ndimage
copying scipy/ndimage/filters.py -> build/lib.linux-x86_64-2.7/scipy/ndimage
copying scipy/ndimage/measurements.py -> build/lib.linux-x86_64-2.7/scipy/ndimage
copying scipy/ndimage/io.py -> build/lib.linux-x86_64-2.7/scipy/ndimage
copying scipy/ndimage/morphology.py -> build/lib.linux-x86_64-2.7/scipy/ndimage
creating build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/common_info.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/swigptr.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/bytecodecompiler.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/standard_array_spec.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/size_check.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/platform_info.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/cpp_namespace_spec.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/ext_tools.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/setup.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/c_spec.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/__init__.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/blitz_tools.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/swig2_spec.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/converters.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/_dumb_shelve.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/slice_handler.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/build_tools.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/base_spec.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/base_info.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/_dumbdbm_patched.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/weave_version.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/blitz_spec.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/vtk_spec.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/catalog.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/inline_tools.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/swigptr2.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/ast_tools.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/accelerate_tools.py -> build/lib.linux-x86_64-2.7/scipy/weave
copying scipy/weave/numpy_scalar_spec.py -> build/lib.linux-x86_64-2.7/scipy/weave
creating build/lib.linux-x86_64-2.7/scipy/_build_utils
copying scipy/_build_utils/__init__.py -> build/lib.linux-x86_64-2.7/scipy/_build_utils
copying scipy/_build_utils/_fortran.py -> build/lib.linux-x86_64-2.7/scipy/_build_utils
creating build/lib.linux-x86_64-2.7/scipy/_lib
copying scipy/_lib/_version.py -> build/lib.linux-x86_64-2.7/scipy/_lib
copying scipy/_lib/_threadsafety.py -> build/lib.linux-x86_64-2.7/scipy/_lib
copying scipy/_lib/_util.py -> build/lib.linux-x86_64-2.7/scipy/_lib
copying scipy/_lib/decorator.py -> build/lib.linux-x86_64-2.7/scipy/_lib
copying scipy/_lib/six.py -> build/lib.linux-x86_64-2.7/scipy/_lib
copying scipy/_lib/setup.py -> build/lib.linux-x86_64-2.7/scipy/_lib
copying scipy/_lib/__init__.py -> build/lib.linux-x86_64-2.7/scipy/_lib
copying scipy/_lib/_testutils.py -> build/lib.linux-x86_64-2.7/scipy/_lib
copying scipy/_lib/_tmpdirs.py -> build/lib.linux-x86_64-2.7/scipy/_lib
copying scipy/_lib/_numpy_compat.py -> build/lib.linux-x86_64-2.7/scipy/_lib
copying scipy/_lib/_gcutils.py -> build/lib.linux-x86_64-2.7/scipy/_lib
running build_clib
customize UnixCCompiler
customize UnixCCompiler using build_clib
customize Gnu95FCompiler
customize Gnu95FCompiler using build_clib
building 'dfftpack' library
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7
creating build/temp.linux-x86_64-2.7/scipy
creating build/temp.linux-x86_64-2.7/scipy/fftpack
creating build/temp.linux-x86_64-2.7/scipy/fftpack/src
creating build/temp.linux-x86_64-2.7/scipy/fftpack/src/dfftpack
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -c'
gfortran:f77: scipy/fftpack/src/dfftpack/dcosqi.f
gfortran:f77: scipy/fftpack/src/dfftpack/dffti1.f
gfortran:f77: scipy/fftpack/src/dfftpack/dsinqb.f
gfortran:f77: scipy/fftpack/src/dfftpack/dcosqb.f
gfortran:f77: scipy/fftpack/src/dfftpack/dcost.f
gfortran:f77: scipy/fftpack/src/dfftpack/zffti1.f
gfortran:f77: scipy/fftpack/src/dfftpack/dsinqi.f
gfortran:f77: scipy/fftpack/src/dfftpack/dcosqf.f
gfortran:f77: scipy/fftpack/src/dfftpack/zffti.f
gfortran:f77: scipy/fftpack/src/dfftpack/dfftf1.f
gfortran:f77: scipy/fftpack/src/dfftpack/dsinqf.f
gfortran:f77: scipy/fftpack/src/dfftpack/dfftf.f
gfortran:f77: scipy/fftpack/src/dfftpack/dfftb1.f
gfortran:f77: scipy/fftpack/src/dfftpack/dsinti.f
gfortran:f77: scipy/fftpack/src/dfftpack/dffti.f
gfortran:f77: scipy/fftpack/src/dfftpack/dsint.f
gfortran:f77: scipy/fftpack/src/dfftpack/zfftb.f
gfortran:f77: scipy/fftpack/src/dfftpack/zfftf.f
gfortran:f77: scipy/fftpack/src/dfftpack/dsint1.f
gfortran:f77: scipy/fftpack/src/dfftpack/zfftf1.f
gfortran:f77: scipy/fftpack/src/dfftpack/zfftb1.f
gfortran:f77: scipy/fftpack/src/dfftpack/dcosti.f
gfortran:f77: scipy/fftpack/src/dfftpack/dfftb.f
ar: adding 23 object files to build/temp.linux-x86_64-2.7/libdfftpack.a
building 'fftpack' library
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7/scipy/fftpack/src/fftpack
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -c'
gfortran:f77: scipy/fftpack/src/fftpack/costi.f
gfortran:f77: scipy/fftpack/src/fftpack/sinqb.f
gfortran:f77: scipy/fftpack/src/fftpack/cfftb1.f
gfortran:f77: scipy/fftpack/src/fftpack/cost.f
gfortran:f77: scipy/fftpack/src/fftpack/sint.f
gfortran:f77: scipy/fftpack/src/fftpack/cosqb.f
gfortran:f77: scipy/fftpack/src/fftpack/rfftb.f
gfortran:f77: scipy/fftpack/src/fftpack/sinqf.f
gfortran:f77: scipy/fftpack/src/fftpack/rfftf1.f
gfortran:f77: scipy/fftpack/src/fftpack/rfftf.f
gfortran:f77: scipy/fftpack/src/fftpack/sinqi.f
gfortran:f77: scipy/fftpack/src/fftpack/cosqf.f
gfortran:f77: scipy/fftpack/src/fftpack/cffti.f
gfortran:f77: scipy/fftpack/src/fftpack/sinti.f
gfortran:f77: scipy/fftpack/src/fftpack/cfftb.f
gfortran:f77: scipy/fftpack/src/fftpack/cfftf1.f
gfortran:f77: scipy/fftpack/src/fftpack/sint1.f
gfortran:f77: scipy/fftpack/src/fftpack/rfftb1.f
gfortran:f77: scipy/fftpack/src/fftpack/rffti1.f
gfortran:f77: scipy/fftpack/src/fftpack/cffti1.f
gfortran:f77: scipy/fftpack/src/fftpack/cosqi.f
gfortran:f77: scipy/fftpack/src/fftpack/cfftf.f
gfortran:f77: scipy/fftpack/src/fftpack/rffti.f
ar: adding 23 object files to build/temp.linux-x86_64-2.7/libfftpack.a
building 'mach' library
using additional config_fc from setup script for fortran compiler: {'noopt': ('scipy/integrate/setup.py', 1)}
customize Gnu95FCompiler
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/scipy/integrate
creating build/temp.linux-x86_64-2.7/scipy/integrate/mach
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -c'
gfortran:f77: scipy/integrate/mach/d1mach.f
gfortran:f77: scipy/integrate/mach/xerror.f
scipy/integrate/mach/xerror.f:1.37:
      SUBROUTINE XERROR(MESS,NMESS,L1,L2)                               
                                     1
Warning: Unused dummy argument 'l1' at (1)
scipy/integrate/mach/xerror.f:1.40:
      SUBROUTINE XERROR(MESS,NMESS,L1,L2)                               
                                        1
Warning: Unused dummy argument 'l2' at (1)
ar: adding 2 object files to build/temp.linux-x86_64-2.7/libmach.a
building 'quadpack' library
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7/scipy/integrate/quadpack
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -c'
gfortran:f77: scipy/integrate/quadpack/dqagse.f
scipy/integrate/quadpack/dqagse.f: In function 'dqagse':
scipy/integrate/quadpack/dqagse.f:376:0: warning: 'small' may be used uninitialized in this function [-Wmaybe-uninitialized]
           if(dabs(blist(maxerr)-alist(maxerr)).gt.small) go to 90
 ^
scipy/integrate/quadpack/dqagse.f:363:0: warning: 'ertest' may be used uninitialized in this function [-Wmaybe-uninitialized]
    40   if(ierro.eq.3.or.erlarg.le.ertest) go to 60
 ^
scipy/integrate/quadpack/dqagse.f:353:0: warning: 'erlarg' may be used uninitialized in this function [-Wmaybe-uninitialized]
         erlarg = erlarg-erlast
 ^
gfortran:f77: scipy/integrate/quadpack/dqk15.f
gfortran:f77: scipy/integrate/quadpack/dqcheb.f
gfortran:f77: scipy/integrate/quadpack/dqk15i.f
gfortran:f77: scipy/integrate/quadpack/dqawse.f
gfortran:f77: scipy/integrate/quadpack/dqagi.f
gfortran:f77: scipy/integrate/quadpack/dqk41.f
gfortran:f77: scipy/integrate/quadpack/dqelg.f
gfortran:f77: scipy/integrate/quadpack/dqagpe.f
scipy/integrate/quadpack/dqagpe.f: In function 'dqagpe':
scipy/integrate/quadpack/dqagpe.f:196:0: warning: 'k' may be used uninitialized in this function [-Wmaybe-uninitialized]
      *  jlow,jupbnd,k,ksgn,ktmin,last,levcur,level,levmax,limit,maxerr,
 ^
gfortran:f77: scipy/integrate/quadpack/dqagp.f
gfortran:f77: scipy/integrate/quadpack/dqk61.f
gfortran:f77: scipy/integrate/quadpack/dqawoe.f
scipy/integrate/quadpack/dqawoe.f: In function 'dqawoe':
scipy/integrate/quadpack/dqawoe.f:449:0: warning: 'ertest' may be used uninitialized in this function [-Wmaybe-uninitialized]
    70   if(ierro.eq.3.or.erlarg.le.ertest) go to 90
 ^
scipy/integrate/quadpack/dqawoe.f:428:0: warning: 'erlarg' may be used uninitialized in this function [-Wmaybe-uninitialized]
         erlarg = erlarg-erlast
 ^
gfortran:f77: scipy/integrate/quadpack/dqk15w.f
gfortran:f77: scipy/integrate/quadpack/dqc25s.f
gfortran:f77: scipy/integrate/quadpack/dqaws.f
gfortran:f77: scipy/integrate/quadpack/dqk51.f
gfortran:f77: scipy/integrate/quadpack/dqwgtf.f
scipy/integrate/quadpack/dqwgtf.f:1.49:
      double precision function dqwgtf(x,omega,p2,p3,p4,integr)         
                                                 1
Warning: Unused dummy argument 'p2' at (1)
scipy/integrate/quadpack/dqwgtf.f:1.52:
      double precision function dqwgtf(x,omega,p2,p3,p4,integr)         
                                                    1
Warning: Unused dummy argument 'p3' at (1)
scipy/integrate/quadpack/dqwgtf.f:1.55:
      double precision function dqwgtf(x,omega,p2,p3,p4,integr)         
                                                       1
Warning: Unused dummy argument 'p4' at (1)
gfortran:f77: scipy/integrate/quadpack/dqawc.f
gfortran:f77: scipy/integrate/quadpack/dqng.f
scipy/integrate/quadpack/dqng.f: In function 'dqng':
scipy/integrate/quadpack/dqng.f:365:0: warning: 'resasc' may be used uninitialized in this function [-Wmaybe-uninitialized]
      *  abserr = resasc*dmin1(0.1d+01,(0.2d+03*abserr/resasc)**1.5d+00)
 ^
scipy/integrate/quadpack/dqng.f:366:0: warning: 'resabs' may be used uninitialized in this function [-Wmaybe-uninitialized]
       if (resabs.gt.uflow/(0.5d+02*epmach)) abserr = dmax1
 ^
scipy/integrate/quadpack/dqng.f:363:0: warning: 'res43' may be used uninitialized in this function [-Wmaybe-uninitialized]
       abserr = dabs((res87-res43)*hlgth)
 ^
scipy/integrate/quadpack/dqng.f:348:0: warning: 'res21' may be used uninitialized in this function [-Wmaybe-uninitialized]
       abserr = dabs((res43-res21)*hlgth)
 ^
scipy/integrate/quadpack/dqng.f:82:0: warning: 'ipx' may be used uninitialized in this function [-Wmaybe-uninitialized]
       integer ier,ipx,k,l,neval
 ^
gfortran:f77: scipy/integrate/quadpack/dqwgtc.f
scipy/integrate/quadpack/dqwgtc.f:1.54:
      double precision function dqwgtc(x,c,p2,p3,p4,kp)                 
                                                      1
Warning: Unused dummy argument 'kp' at (1)
scipy/integrate/quadpack/dqwgtc.f:1.45:
      double precision function dqwgtc(x,c,p2,p3,p4,kp)                 
                                             1
Warning: Unused dummy argument 'p2' at (1)
scipy/integrate/quadpack/dqwgtc.f:1.48:
      double precision function dqwgtc(x,c,p2,p3,p4,kp)                 
                                                1
Warning: Unused dummy argument 'p3' at (1)
scipy/integrate/quadpack/dqwgtc.f:1.51:
      double precision function dqwgtc(x,c,p2,p3,p4,kp)                 
                                                   1
Warning: Unused dummy argument 'p4' at (1)
gfortran:f77: scipy/integrate/quadpack/dqagie.f
scipy/integrate/quadpack/dqagie.f: In function 'dqagie':
scipy/integrate/quadpack/dqagie.f:384:0: warning: 'small' may be used uninitialized in this function [-Wmaybe-uninitialized]
           if(dabs(blist(maxerr)-alist(maxerr)).gt.small) go to 90
 ^
scipy/integrate/quadpack/dqagie.f:372:0: warning: 'ertest' may be used uninitialized in this function [-Wmaybe-uninitialized]
    40   if(ierro.eq.3.or.erlarg.le.ertest) go to 60
 ^
scipy/integrate/quadpack/dqagie.f:362:0: warning: 'erlarg' may be used uninitialized in this function [-Wmaybe-uninitialized]
         erlarg = erlarg-erlast
 ^
gfortran:f77: scipy/integrate/quadpack/dqpsrt.f
gfortran:f77: scipy/integrate/quadpack/dqk31.f
gfortran:f77: scipy/integrate/quadpack/dqawce.f
gfortran:f77: scipy/integrate/quadpack/dqmomo.f
scipy/integrate/quadpack/dqmomo.f:126.5:
   90 return                                                            
     1
Warning: Label 90 at (1) defined but not used
gfortran:f77: scipy/integrate/quadpack/dqawo.f
gfortran:f77: scipy/integrate/quadpack/dqwgts.f
gfortran:f77: scipy/integrate/quadpack/dqk21.f
gfortran:f77: scipy/integrate/quadpack/dqawfe.f
scipy/integrate/quadpack/dqawfe.f:267.10:
   10 l = dabs(omega)                                                   
          1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/integrate/quadpack/dqawfe.f: In function 'dqawfe':
scipy/integrate/quadpack/dqawfe.f:356:0: warning: 'drl' may be used uninitialized in this function [-Wmaybe-uninitialized]
    70 if(abserr/dabs(result).gt.(errsum+drl)/dabs(psum(numrl2)))
 ^
scipy/integrate/quadpack/dqawfe.f:316:0: warning: 'll' may be used uninitialized in this function [-Wmaybe-uninitialized]
    20   psum(numrl2) = psum(ll)+rslst(lst)
 ^
gfortran:f77: scipy/integrate/quadpack/dqag.f
gfortran:f77: scipy/integrate/quadpack/dqags.f
gfortran:f77: scipy/integrate/quadpack/dqc25f.f
scipy/integrate/quadpack/dqc25f.f: In function 'dqc25f':
scipy/integrate/quadpack/dqc25f.f:103:0: warning: 'm' may be used uninitialized in this function [-Wmaybe-uninitialized]
       integer i,iers,integr,isym,j,k,ksave,m,momcom,neval,maxp1,
 ^
gfortran:f77: scipy/integrate/quadpack/dqage.f
gfortran:f77: scipy/integrate/quadpack/dqawf.f
gfortran:f77: scipy/integrate/quadpack/dqc25c.f
ar: adding 35 object files to build/temp.linux-x86_64-2.7/libquadpack.a
building 'odepack' library
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7/scipy/integrate/odepack
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -c'
gfortran:f77: scipy/integrate/odepack/lsoda.f
scipy/integrate/odepack/lsoda.f: In function 'lsoda':
scipy/integrate/odepack/lsoda.f:1428:0: warning: 'ihit' may be used uninitialized in this function [-Wmaybe-uninitialized]
       if (ihit) t = tcrit
 ^
scipy/integrate/odepack/lsoda.f:1112:0: warning: 'lenwm' may be used uninitialized in this function [-Wmaybe-uninitialized]
       len1s = len1s + lenwm
 ^
gfortran:f77: scipy/integrate/odepack/vmnorm.f
gfortran:f77: scipy/integrate/odepack/blkdta000.f
gfortran:f77: scipy/integrate/odepack/cfode.f
gfortran:f77: scipy/integrate/odepack/fnorm.f
gfortran:f77: scipy/integrate/odepack/xsetf.f
gfortran:f77: scipy/integrate/odepack/ewset.f
gfortran:f77: scipy/integrate/odepack/zvode.f
scipy/integrate/odepack/zvode.f:2394.4:
 700  R = ONE/TQ(2)                                                     
    1
Warning: Label 700 at (1) defined but not used
scipy/integrate/odepack/zvode.f:2761.35:
     1                 F, JAC, PDUM, NFLAG, RPAR, IPAR)                 
                                   1
Warning: Unused dummy argument 'pdum' at (1)
scipy/integrate/odepack/zvode.f:2760.42:
      SUBROUTINE ZVNLSD (Y, YH, LDYH, VSAV, SAVF, EWT, ACOR, IWM, WM,   
                                          1
Warning: Unused dummy argument 'vsav' at (1)
scipy/integrate/odepack/zvode.f: In function 'zvode':
scipy/integrate/odepack/zvode.f:1502:0: warning: 'ihit' may be used uninitialized in this function [-Wmaybe-uninitialized]
       IF (IHIT) T = TCRIT
 ^
gfortran:f77: scipy/integrate/odepack/intdy.f
gfortran:f77: scipy/integrate/odepack/bnorm.f
gfortran:f77: scipy/integrate/odepack/srcma.f
gfortran:f77: scipy/integrate/odepack/prja.f
gfortran:f77: scipy/integrate/odepack/xerrwv.f
scipy/integrate/odepack/xerrwv.f:1.40:
      subroutine xerrwv (msg, nmes, nerr, level, ni, i1, i2, nr, r1, r2)
                                        1
Warning: Unused dummy argument 'nerr' at (1)
gfortran:f77: scipy/integrate/odepack/vode.f
scipy/integrate/odepack/vode.f:2373.4:
 700  R = ONE/TQ(2)                                                     
    1
Warning: Label 700 at (1) defined but not used
scipy/integrate/odepack/vode.f:3522.40:
      SUBROUTINE XERRWD (MSG, NMES, NERR, LEVEL, NI, I1, I2, NR, R1, R2)
                                        1
Warning: Unused dummy argument 'nerr' at (1)
scipy/integrate/odepack/vode.f:3503.44:
      DOUBLE PRECISION FUNCTION D1MACH (IDUM)                           
                                            1
Warning: Unused dummy argument 'idum' at (1)
scipy/integrate/odepack/vode.f:2740.35:
     1                 F, JAC, PDUM, NFLAG, RPAR, IPAR)                 
                                   1
Warning: Unused dummy argument 'pdum' at (1)
scipy/integrate/odepack/vode.f:2739.42:
      SUBROUTINE DVNLSD (Y, YH, LDYH, VSAV, SAVF, EWT, ACOR, IWM, WM,   
                                          1
Warning: Unused dummy argument 'vsav' at (1)
scipy/integrate/odepack/vode.f: In function 'ixsav':
scipy/integrate/odepack/vode.f:3618:0: warning: '__result_ixsav' may be used uninitialized in this function [-Wmaybe-uninitialized]
       INTEGER FUNCTION IXSAV (IPAR, IVALUE, ISET)
 ^
scipy/integrate/odepack/vode.f: In function 'dvode':
scipy/integrate/odepack/vode.f:1487:0: warning: 'ihit' may be used uninitialized in this function [-Wmaybe-uninitialized]
       IF (IHIT) T = TCRIT
 ^
gfortran:f77: scipy/integrate/odepack/xsetun.f
gfortran:f77: scipy/integrate/odepack/solsy.f
scipy/integrate/odepack/solsy.f:1.39:
      subroutine solsy (wm, iwm, x, tem)                                
                                       1
Warning: Unused dummy argument 'tem' at (1)
gfortran:f77: scipy/integrate/odepack/stoda.f
scipy/integrate/odepack/stoda.f: In function 'stoda':
scipy/integrate/odepack/stoda.f:223:0: warning: 'iredo' may be used uninitialized in this function [-Wmaybe-uninitialized]
       if (iredo .eq. 0) go to 690
 ^
scipy/integrate/odepack/stoda.f:378:0: warning: 'dsm' may be used uninitialized in this function [-Wmaybe-uninitialized]
       if (dsm .gt. 1.0d0) go to 500
 ^
scipy/integrate/odepack/stoda.f:18:0: warning: 'rh' may be used uninitialized in this function [-Wmaybe-uninitialized]
      1   r, rh, rhdn, rhsm, rhup, told, vmnorm
 ^
ar: adding 17 object files to build/temp.linux-x86_64-2.7/libodepack.a
building 'dop' library
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7/scipy/integrate/dop
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -c'
gfortran:f77: scipy/integrate/dop/dop853.f
scipy/integrate/dop/dop853.f:364.42:
     &   SOLOUT,IOUT,IDID,NMAX,UROUND,METH,NSTIFF,SAFE,BETA,FAC1,FAC2,  
                                          1
Warning: Unused dummy argument 'meth' at (1)
scipy/integrate/dop/dop853.f:791.38:
      FUNCTION HINIT853(N,FCN,X,Y,XEND,POSNEG,F0,F1,Y1,IORD,            
                                      1
Warning: Unused dummy argument 'xend' at (1)
scipy/integrate/dop/dop853.f: In function 'dp86co':
scipy/integrate/dop/dop853.f:686:0: warning: 'nonsti' may be used uninitialized in this function [-Wmaybe-uninitialized]
                NONSTI=NONSTI+1  
 ^
gfortran:f77: scipy/integrate/dop/dopri5.f
scipy/integrate/dop/dopri5.f:558.35:
      FUNCTION HINIT(N,FCN,X,Y,XEND,POSNEG,F0,F1,Y1,IORD,               
                                   1
Warning: Unused dummy argument 'xend' at (1)
scipy/integrate/dop/dopri5.f: In function 'dopcor':
scipy/integrate/dop/dopri5.f:491:0: warning: 'nonsti' may be used uninitialized in this function [-Wmaybe-uninitialized]
                NONSTI=NONSTI+1  
 ^
ar: adding 2 object files to build/temp.linux-x86_64-2.7/libdop.a
building 'fitpack' library
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7/scipy/interpolate
creating build/temp.linux-x86_64-2.7/scipy/interpolate/fitpack
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -c'
gfortran:f77: scipy/interpolate/fitpack/fpgrpa.f
gfortran:f77: scipy/interpolate/fitpack/fppola.f
scipy/interpolate/fitpack/fppola.f: In function 'fppola':
scipy/interpolate/fitpack/fppola.f:768:0: warning: 'nv4' may be used uninitialized in this function [-Wmaybe-uninitialized]
           jrot = lu*nv4+lv
 ^
scipy/interpolate/fitpack/fppola.f:578:0: warning: 'nu4' may be used uninitialized in this function [-Wmaybe-uninitialized]
       nuu = nu4-iopt3-1
 ^
scipy/interpolate/fitpack/fppola.f:821:0: warning: 'lwest' may be used uninitialized in this function [-Wmaybe-uninitialized]
  925  ier = lwest
 ^
scipy/interpolate/fitpack/fppola.f:25:0: warning: 'iband1' may be used uninitialized in this function [-Wmaybe-uninitialized]
      * numin,nvmin,rank,iband1
 ^
scipy/interpolate/fitpack/fppola.f:565:0: warning: 'fpms' may be used uninitialized in this function [-Wmaybe-uninitialized]
       f3 = fpms
 ^
scipy/interpolate/fitpack/fppola.f:805:0: warning: 'acc' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if((f1-f2).gt.acc) go to 905
 ^
gfortran:f77: scipy/interpolate/fitpack/spalde.f
gfortran:f77: scipy/interpolate/fitpack/spgrid.f
gfortran:f77: scipy/interpolate/fitpack/fourco.f
gfortran:f77: scipy/interpolate/fitpack/fpbfout.f
scipy/interpolate/fitpack/fpbfout.f: In function 'fpbfou':
scipy/interpolate/fitpack/fpbfout.f:117:0: warning: 'term' may be used uninitialized in this function [-Wmaybe-uninitialized]
         c2 = (hc(5)-hc(4))*term
 ^
gfortran:f77: scipy/interpolate/fitpack/fpgrdi.f
scipy/interpolate/fitpack/fpgrdi.f: In function 'fpgrdi':
scipy/interpolate/fitpack/fpgrdi.f:204:0: warning: 'pinv' may be used uninitialized in this function [-Wmaybe-uninitialized]
          bb(2,i) = fac*pinv
 ^
gfortran:f77: scipy/interpolate/fitpack/fpregr.f
scipy/interpolate/fitpack/fpregr.f:246.33:
        if(reducx.gt.acc) npl1 = rn*fpms/reducx                         
                                 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/interpolate/fitpack/fpregr.f:253.33:
        if(reducy.gt.acc) npl1 = rn*fpms/reducy                         
                                 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/interpolate/fitpack/fpregr.f: In function 'fpregr':
scipy/interpolate/fitpack/fpregr.f:310:0: warning: 'fpms' may be used uninitialized in this function [-Wmaybe-uninitialized]
       f3 = fpms
 ^
scipy/interpolate/fitpack/fpregr.f:282:0: warning: 'nye' may be used uninitialized in this function [-Wmaybe-uninitialized]
           if(ny.eq.nye) go to 250
 ^
scipy/interpolate/fitpack/fpregr.f:269:0: warning: 'nxe' may be used uninitialized in this function [-Wmaybe-uninitialized]
           if(nx.eq.nxe) go to 250
 ^
scipy/interpolate/fitpack/fpregr.f:225:0: warning: 'nmaxy' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if(nx.eq.nmaxx .and. ny.eq.nmaxy) go to 430
 ^
scipy/interpolate/fitpack/fpregr.f:225:0: warning: 'nmaxx' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/interpolate/fitpack/fpregr.f:341:0: warning: 'acc' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if((f1-f2).gt.acc) go to 330
 ^
gfortran:f77: scipy/interpolate/fitpack/fprppo.f
scipy/interpolate/fitpack/fprppo.f: In function 'fprppo':
scipy/interpolate/fitpack/fprppo.f:48:0: warning: 'j' may be used uninitialized in this function [-Wmaybe-uninitialized]
             f(i) = c(j)
 ^
gfortran:f77: scipy/interpolate/fitpack/fpinst.f
gfortran:f77: scipy/interpolate/fitpack/fpbspl.f
gfortran:f77: scipy/interpolate/fitpack/parcur.f
gfortran:f77: scipy/interpolate/fitpack/fprpsp.f
gfortran:f77: scipy/interpolate/fitpack/sphere.f
gfortran:f77: scipy/interpolate/fitpack/fpfrno.f
scipy/interpolate/fitpack/fpfrno.f: In function 'fpfrno':
scipy/interpolate/fitpack/fpfrno.f:42:0: warning: 'k' may be used uninitialized in this function [-Wmaybe-uninitialized]
       right(k) = count
 ^
gfortran:f77: scipy/interpolate/fitpack/fpdeno.f
gfortran:f77: scipy/interpolate/fitpack/fpcyt2.f
gfortran:f77: scipy/interpolate/fitpack/curfit.f
gfortran:f77: scipy/interpolate/fitpack/fpcurf.f
scipy/interpolate/fitpack/fpcurf.f:186.35:
        if(fpold-fp.gt.acc) npl1 = rn*fpms/(fpold-fp)                   
                                   1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/interpolate/fitpack/fpcurf.f: In function 'fpcurf':
scipy/interpolate/fitpack/fpcurf.f:187:0: warning: 'nplus' may be used uninitialized in this function [-Wmaybe-uninitialized]
         nplus = min0(nplus*2,max0(npl1,nplus/2,1))
 ^
scipy/interpolate/fitpack/fpcurf.f:219:0: warning: 'nmax' may be used uninitialized in this function [-Wmaybe-uninitialized]
           if(n.eq.nmax) go to 10
 ^
scipy/interpolate/fitpack/fpcurf.f:186:0: warning: 'fpold' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if(fpold-fp.gt.acc) npl1 = rn*fpms/(fpold-fp)
 ^
scipy/interpolate/fitpack/fpcurf.f:256:0: warning: 'fpms' may be used uninitialized in this function [-Wmaybe-uninitialized]
       f3 = fpms
 ^
scipy/interpolate/fitpack/fpcurf.f:162:0: warning: 'fp0' may be used uninitialized in this function [-Wmaybe-uninitialized]
         fpint(n) = fp0
 ^
scipy/interpolate/fitpack/fpcurf.f:335:0: warning: 'acc' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if((f1-f2).gt.acc) go to 345
 ^
gfortran:f77: scipy/interpolate/fitpack/fpclos.f
scipy/interpolate/fitpack/fpclos.f:395.35:
        if(fpold-fp.gt.acc) npl1 = rn*fpms/(fpold-fp)                   
                                   1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/interpolate/fitpack/fpclos.f: In function 'fpclos':
scipy/interpolate/fitpack/fpclos.f:396:0: warning: 'nplus' may be used uninitialized in this function [-Wmaybe-uninitialized]
         nplus = min0(nplus*2,max0(npl1,nplus/2,1))
 ^
scipy/interpolate/fitpack/fpclos.f:438:0: warning: 'nmax' may be used uninitialized in this function [-Wmaybe-uninitialized]
           if(n.eq.nmax) go to 5
 ^
scipy/interpolate/fitpack/fpclos.f:473:0: warning: 'n10' may be used uninitialized in this function [-Wmaybe-uninitialized]
       n11 = n10-1
 ^
scipy/interpolate/fitpack/fpclos.f:16:0: warning: 'i1' may be used uninitialized in this function [-Wmaybe-uninitialized]
       integer i,ich1,ich3,ij,ik,it,iter,i1,i2,i3,j,jj,jk,jper,j1,j2,kk,
 ^
scipy/interpolate/fitpack/fpclos.f:395:0: warning: 'fpold' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if(fpold-fp.gt.acc) npl1 = rn*fpms/(fpold-fp)
 ^
scipy/interpolate/fitpack/fpclos.f:472:0: warning: 'fpms' may be used uninitialized in this function [-Wmaybe-uninitialized]
       f3 = fpms
 ^
scipy/interpolate/fitpack/fpclos.f:470:0: warning: 'fp0' may be used uninitialized in this function [-Wmaybe-uninitialized]
       f1 = fp0-s
 ^
scipy/interpolate/fitpack/fpclos.f:663:0: warning: 'acc' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if((f1-f2) .gt. acc) go to 585
 ^
gfortran:f77: scipy/interpolate/fitpack/parsur.f
gfortran:f77: scipy/interpolate/fitpack/fpgrsp.f
scipy/interpolate/fitpack/fpgrsp.f: In function 'fpgrsp':
scipy/interpolate/fitpack/fpgrsp.f:239:0: warning: 'pinv' may be used uninitialized in this function [-Wmaybe-uninitialized]
          b1(2,i) = fac*pinv
 ^
gfortran:f77: scipy/interpolate/fitpack/fpsuev.f
gfortran:f77: scipy/interpolate/fitpack/fpsurf.f
scipy/interpolate/fitpack/fpsurf.f: In function 'fpsurf':
scipy/interpolate/fitpack/fpsurf.f:567:0: warning: 'nyy' may be used uninitialized in this function [-Wmaybe-uninitialized]
           ly = num1-lx*nyy
 ^
scipy/interpolate/fitpack/fpsurf.f:433:0: warning: 'nk1y' may be used uninitialized in this function [-Wmaybe-uninitialized]
       iband3 = kx1*nk1y
 ^
scipy/interpolate/fitpack/fpsurf.f:21:0: warning: 'nk1x' may be used uninitialized in this function [-Wmaybe-uninitialized]
      * la,lf,lh,lwest,lx,ly,l1,l2,n,ncof,nk1x,nk1y,nminx,nminy,nreg,
 ^
scipy/interpolate/fitpack/fpsurf.f:621:0: warning: 'lwest' may be used uninitialized in this function [-Wmaybe-uninitialized]
  780  ier = lwest
 ^
scipy/interpolate/fitpack/fpsurf.f:19:0: warning: 'iband1' may be used uninitialized in this function [-Wmaybe-uninitialized]
       integer i,iband,iband1,iband3,iband4,ibb,ichang,ich1,ich3,ii,
 ^
scipy/interpolate/fitpack/fpsurf.f:425:0: warning: 'fpms' may be used uninitialized in this function [-Wmaybe-uninitialized]
       f3 = fpms
 ^
scipy/interpolate/fitpack/fpsurf.f:605:0: warning: 'acc' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if((f1-f2).gt.acc) go to 750
 ^
gfortran:f77: scipy/interpolate/fitpack/fpcsin.f
gfortran:f77: scipy/interpolate/fitpack/fpspgr.f
scipy/interpolate/fitpack/fpspgr.f:315.33:
        if(reducu.gt.acc) npl1 = rn*fpms/reducu                         
                                 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/interpolate/fitpack/fpspgr.f:322.33:
        if(reducv.gt.acc) npl1 = rn*fpms/reducv                         
                                 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/interpolate/fitpack/fpspgr.f: In function 'fpspgr':
scipy/interpolate/fitpack/fpspgr.f:382:0: warning: 'fpms' may be used uninitialized in this function [-Wmaybe-uninitialized]
       f3 = fpms
 ^
scipy/interpolate/fitpack/fpspgr.f:20:0: warning: 'nplu' may be used uninitialized in this function [-Wmaybe-uninitialized]
      * ktu,l,l1,l2,l3,l4,mpm,mumin,mu0,mu1,nn,nplu,nplv,npl1,nrintu,
 ^
scipy/interpolate/fitpack/fpspgr.f:287:0: warning: 'nvmax' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if(nu.eq.numax .and. nv.eq.nvmax) go to 430
 ^
scipy/interpolate/fitpack/fpspgr.f:354:0: warning: 'nve' may be used uninitialized in this function [-Wmaybe-uninitialized]
           if(nv.eq.nve) go to 270
 ^
scipy/interpolate/fitpack/fpspgr.f:287:0: warning: 'numax' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if(nu.eq.numax .and. nv.eq.nvmax) go to 430
 ^
scipy/interpolate/fitpack/fpspgr.f:341:0: warning: 'nue' may be used uninitialized in this function [-Wmaybe-uninitialized]
           if(nu.eq.nue) go to 270
 ^
scipy/interpolate/fitpack/fpspgr.f:414:0: warning: 'acc' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if((f1-f2).gt.acc) go to 330
 ^
gfortran:f77: scipy/interpolate/fitpack/pardeu.f
gfortran:f77: scipy/interpolate/fitpack/fpcosp.f
gfortran:f77: scipy/interpolate/fitpack/cualde.f
gfortran:f77: scipy/interpolate/fitpack/fptrpe.f
scipy/interpolate/fitpack/fptrpe.f: In function 'fptrpe':
scipy/interpolate/fitpack/fptrpe.f:64:0: warning: 'pinv' may be used uninitialized in this function [-Wmaybe-uninitialized]
           h(j) = b(n1,j)*pinv
 ^
gfortran:f77: scipy/interpolate/fitpack/bispev.f
gfortran:f77: scipy/interpolate/fitpack/fpback.f
gfortran:f77: scipy/interpolate/fitpack/fpcoco.f
scipy/interpolate/fitpack/fpcoco.f: In function 'fpcoco':
scipy/interpolate/fitpack/fpcoco.f:137:0: warning: 'k' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if(k.gt.l) k = k-1
 ^
gfortran:f77: scipy/interpolate/fitpack/pogrid.f
gfortran:f77: scipy/interpolate/fitpack/fpched.f
gfortran:f77: scipy/interpolate/fitpack/dblint.f
gfortran:f77: scipy/interpolate/fitpack/fprati.f
gfortran:f77: scipy/interpolate/fitpack/concon.f
gfortran:f77: scipy/interpolate/fitpack/bispeu.f
gfortran:f77: scipy/interpolate/fitpack/fpadno.f
gfortran:f77: scipy/interpolate/fitpack/fpcons.f
scipy/interpolate/fitpack/fpcons.f:224.35:
        if(fpold-fp.gt.acc) npl1 = rn*fpms/(fpold-fp)                   
                                   1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/interpolate/fitpack/fpcons.f: In function 'fpcons':
scipy/interpolate/fitpack/fpcons.f:225:0: warning: 'nplus' may be used uninitialized in this function [-Wmaybe-uninitialized]
         nplus = min0(nplus*2,max0(npl1,nplus/2,1))
 ^
scipy/interpolate/fitpack/fpcons.f:264:0: warning: 'nmax' may be used uninitialized in this function [-Wmaybe-uninitialized]
           if(n.eq.nmax) go to 25
 ^
scipy/interpolate/fitpack/fpcons.f:383:0: warning: 'nk1' may be used uninitialized in this function [-Wmaybe-uninitialized]
           if(u(it).lt.t(l) .or. l.gt.nk1) go to 310
 ^
scipy/interpolate/fitpack/fpcons.f:81:0: warning: 'mm' may be used uninitialized in this function [-Wmaybe-uninitialized]
         t(i) = u(j)
 ^
scipy/interpolate/fitpack/fpcons.f:224:0: warning: 'fpold' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if(fpold-fp.gt.acc) npl1 = rn*fpms/(fpold-fp)
 ^
scipy/interpolate/fitpack/fpcons.f:301:0: warning: 'fpms' may be used uninitialized in this function [-Wmaybe-uninitialized]
       f3 = fpms
 ^
scipy/interpolate/fitpack/fpcons.f:194:0: warning: 'fp0' may be used uninitialized in this function [-Wmaybe-uninitialized]
         fpint(n) = fp0
 ^
scipy/interpolate/fitpack/fpcons.f:418:0: warning: 'acc' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if((f1-f2).gt.acc) go to 345
 ^
gfortran:f77: scipy/interpolate/fitpack/fpchep.f
gfortran:f77: scipy/interpolate/fitpack/splint.f
gfortran:f77: scipy/interpolate/fitpack/fptrnp.f
scipy/interpolate/fitpack/fptrnp.f: In function 'fptrnp':
scipy/interpolate/fitpack/fptrnp.f:53:0: warning: 'pinv' may be used uninitialized in this function [-Wmaybe-uninitialized]
           h(j) = b(n1,j)*pinv
 ^
gfortran:f77: scipy/interpolate/fitpack/fpgivs.f
scipy/interpolate/fitpack/fpgivs.f: In function 'fpgivs':
scipy/interpolate/fitpack/fpgivs.f:16:0: warning: 'dd' may be used uninitialized in this function [-Wmaybe-uninitialized]
       cos = ww/dd
 ^
gfortran:f77: scipy/interpolate/fitpack/clocur.f
gfortran:f77: scipy/interpolate/fitpack/parder.f
gfortran:f77: scipy/interpolate/fitpack/insert.f
gfortran:f77: scipy/interpolate/fitpack/fpperi.f
scipy/interpolate/fitpack/fpperi.f:339.35:
        if(fpold-fp.gt.acc) npl1 = rn*fpms/(fpold-fp)                   
                                   1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/interpolate/fitpack/fpperi.f: In function 'fpperi':
scipy/interpolate/fitpack/fpperi.f:340:0: warning: 'nplus' may be used uninitialized in this function [-Wmaybe-uninitialized]
         nplus = min0(nplus*2,max0(npl1,nplus/2,1))
 ^
scipy/interpolate/fitpack/fpperi.f:375:0: warning: 'nmax' may be used uninitialized in this function [-Wmaybe-uninitialized]
           if(n.eq.nmax) go to 5
 ^
scipy/interpolate/fitpack/fpperi.f:410:0: warning: 'n10' may be used uninitialized in this function [-Wmaybe-uninitialized]
       n11 = n10-1
 ^
scipy/interpolate/fitpack/fpperi.f:16:0: warning: 'i1' may be used uninitialized in this function [-Wmaybe-uninitialized]
       integer i,ich1,ich3,ij,ik,it,iter,i1,i2,i3,j,jk,jper,j1,j2,kk,
 ^
scipy/interpolate/fitpack/fpperi.f:339:0: warning: 'fpold' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if(fpold-fp.gt.acc) npl1 = rn*fpms/(fpold-fp)
 ^
scipy/interpolate/fitpack/fpperi.f:409:0: warning: 'fpms' may be used uninitialized in this function [-Wmaybe-uninitialized]
       f3 = fpms
 ^
scipy/interpolate/fitpack/fpperi.f:407:0: warning: 'fp0' may be used uninitialized in this function [-Wmaybe-uninitialized]
       f1 = fp0-s
 ^
scipy/interpolate/fitpack/fpperi.f:574:0: warning: 'acc' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if((f1-f2) .gt. acc) go to 585
 ^
gfortran:f77: scipy/interpolate/fitpack/fppara.f
scipy/interpolate/fitpack/fppara.f:202.35:
        if(fpold-fp.gt.acc) npl1 = rn*fpms/(fpold-fp)                   
                                   1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/interpolate/fitpack/fppara.f: In function 'fppara':
scipy/interpolate/fitpack/fppara.f:203:0: warning: 'nplus' may be used uninitialized in this function [-Wmaybe-uninitialized]
         nplus = min0(nplus*2,max0(npl1,nplus/2,1))
 ^
scipy/interpolate/fitpack/fppara.f:242:0: warning: 'nmax' may be used uninitialized in this function [-Wmaybe-uninitialized]
           if(n.eq.nmax) go to 10
 ^
scipy/interpolate/fitpack/fppara.f:202:0: warning: 'fpold' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if(fpold-fp.gt.acc) npl1 = rn*fpms/(fpold-fp)
 ^
scipy/interpolate/fitpack/fppara.f:279:0: warning: 'fpms' may be used uninitialized in this function [-Wmaybe-uninitialized]
       f3 = fpms
 ^
scipy/interpolate/fitpack/fppara.f:174:0: warning: 'fp0' may be used uninitialized in this function [-Wmaybe-uninitialized]
         fpint(n) = fp0
 ^
scipy/interpolate/fitpack/fppara.f:378:0: warning: 'acc' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if((f1-f2).gt.acc) go to 345
 ^
gfortran:f77: scipy/interpolate/fitpack/concur.f
gfortran:f77: scipy/interpolate/fitpack/fporde.f
gfortran:f77: scipy/interpolate/fitpack/cocosp.f
gfortran:f77: scipy/interpolate/fitpack/fprank.f
gfortran:f77: scipy/interpolate/fitpack/fpopsp.f
gfortran:f77: scipy/interpolate/fitpack/fpadpo.f
gfortran:f77: scipy/interpolate/fitpack/fppasu.f
scipy/interpolate/fitpack/fppasu.f:272.33:
        if(reducu.gt.acc) npl1 = rn*fpms/reducu                         
                                 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/interpolate/fitpack/fppasu.f:279.33:
        if(reducv.gt.acc) npl1 = rn*fpms/reducv                         
                                 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/interpolate/fitpack/fppasu.f: In function 'fppasu':
scipy/interpolate/fitpack/fppasu.f:336:0: warning: 'fpms' may be used uninitialized in this function [-Wmaybe-uninitialized]
       f3 = fpms
 ^
scipy/interpolate/fitpack/fppasu.f:308:0: warning: 'nve' may be used uninitialized in this function [-Wmaybe-uninitialized]
           if(nv.eq.nve) go to 250
 ^
scipy/interpolate/fitpack/fppasu.f:295:0: warning: 'nue' may be used uninitialized in this function [-Wmaybe-uninitialized]
           if(nu.eq.nue) go to 250
 ^
scipy/interpolate/fitpack/fppasu.f:251:0: warning: 'nmaxv' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if(nu.eq.nmaxu .and. nv.eq.nmaxv) go to 430
 ^
scipy/interpolate/fitpack/fppasu.f:251:0: warning: 'nmaxu' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/interpolate/fitpack/fppasu.f:367:0: warning: 'acc' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if((f1-f2).gt.acc) go to 330
 ^
scipy/interpolate/fitpack/fppasu.f:231:0: warning: 'perv' may be used uninitialized in this function [-Wmaybe-uninitialized]
           tv(l3) = tv(l1)+perv
 ^
scipy/interpolate/fitpack/fppasu.f:209:0: warning: 'peru' may be used uninitialized in this function [-Wmaybe-uninitialized]
           tu(l3) = tu(l1)+peru
 ^
gfortran:f77: scipy/interpolate/fitpack/sproot.f
gfortran:f77: scipy/interpolate/fitpack/fpknot.f
scipy/interpolate/fitpack/fpknot.f: In function 'fpknot':
scipy/interpolate/fitpack/fpknot.f:43:0: warning: 'number' may be used uninitialized in this function [-Wmaybe-uninitialized]
       next = number+1
 ^
scipy/interpolate/fitpack/fpknot.f:41:0: warning: 'maxpt' may be used uninitialized in this function [-Wmaybe-uninitialized]
       ihalf = maxpt/2+1
 ^
scipy/interpolate/fitpack/fpknot.f:42:0: warning: 'maxbeg' may be used uninitialized in this function [-Wmaybe-uninitialized]
       nrx = maxbeg+ihalf
 ^
gfortran:f77: scipy/interpolate/fitpack/fpseno.f
gfortran:f77: scipy/interpolate/fitpack/fpdisc.f
gfortran:f77: scipy/interpolate/fitpack/fpsysy.f
gfortran:f77: scipy/interpolate/fitpack/fpopdi.f
gfortran:f77: scipy/interpolate/fitpack/fpgrre.f
scipy/interpolate/fitpack/fpgrre.f: In function 'fpgrre':
scipy/interpolate/fitpack/fpgrre.f:130:0: warning: 'pinv' may be used uninitialized in this function [-Wmaybe-uninitialized]
           h(j) = bx(n1,j)*pinv
 ^
gfortran:f77: scipy/interpolate/fitpack/fpchec.f
gfortran:f77: scipy/interpolate/fitpack/fpbisp.f
gfortran:f77: scipy/interpolate/fitpack/surfit.f
gfortran:f77: scipy/interpolate/fitpack/evapol.f
gfortran:f77: scipy/interpolate/fitpack/curev.f
gfortran:f77: scipy/interpolate/fitpack/percur.f
gfortran:f77: scipy/interpolate/fitpack/polar.f
gfortran:f77: scipy/interpolate/fitpack/fpbacp.f
gfortran:f77: scipy/interpolate/fitpack/fpintb.f
scipy/interpolate/fitpack/fpintb.f: In function 'fpintb':
scipy/interpolate/fitpack/fpintb.f:92:0: warning: 'h[5]' may be used uninitialized in this function [-Wmaybe-uninitialized]
             aint(i) = aint(i)+h(i)*(arg-t(lj))/(t(li)-t(lj))
 ^
scipy/interpolate/fitpack/fpintb.f:92:0: warning: 'h[4]' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/interpolate/fitpack/fpintb.f:92:0: warning: 'h[3]' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/interpolate/fitpack/fpintb.f:92:0: warning: 'h[2]' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/interpolate/fitpack/fpintb.f:26:0: warning: 'ia' may be used uninitialized in this function [-Wmaybe-uninitialized]
       integer i,ia,ib,it,j,j1,k,k1,l,li,lj,lk,l0,min
 ^
gfortran:f77: scipy/interpolate/fitpack/fpcuro.f
gfortran:f77: scipy/interpolate/fitpack/splev.f
gfortran:f77: scipy/interpolate/fitpack/fppocu.f
gfortran:f77: scipy/interpolate/fitpack/fppogr.f
scipy/interpolate/fitpack/fppogr.f:286.33:
        if(reducu.gt.acc) npl1 = rn*fpms/reducu                         
                                 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/interpolate/fitpack/fppogr.f:293.33:
        if(reducv.gt.acc) npl1 = rn*fpms/reducv                         
                                 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/interpolate/fitpack/fppogr.f: In function 'fppogr':
scipy/interpolate/fitpack/fppogr.f:353:0: warning: 'fpms' may be used uninitialized in this function [-Wmaybe-uninitialized]
       f3 = fpms
 ^
scipy/interpolate/fitpack/fppogr.f:20:0: warning: 'nplu' may be used uninitialized in this function [-Wmaybe-uninitialized]
      * ktu,l,l1,l2,l3,l4,mpm,mumin,mu0,mu1,nn,nplu,nplv,npl1,nrintu,
 ^
scipy/interpolate/fitpack/fppogr.f:260:0: warning: 'nvmax' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if(nu.eq.numax .and. nv.eq.nvmax) go to 430
 ^
scipy/interpolate/fitpack/fppogr.f:325:0: warning: 'nve' may be used uninitialized in this function [-Wmaybe-uninitialized]
           if(nv.eq.nve) go to 270
 ^
scipy/interpolate/fitpack/fppogr.f:260:0: warning: 'numax' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if(nu.eq.numax .and. nv.eq.nvmax) go to 430
 ^
scipy/interpolate/fitpack/fppogr.f:312:0: warning: 'nue' may be used uninitialized in this function [-Wmaybe-uninitialized]
           if(nu.eq.nue) go to 270
 ^
scipy/interpolate/fitpack/fppogr.f:385:0: warning: 'acc' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if((f1-f2).gt.acc) go to 330
 ^
gfortran:f77: scipy/interpolate/fitpack/fpcyt1.f
gfortran:f77: scipy/interpolate/fitpack/fpsphe.f
scipy/interpolate/fitpack/fpsphe.f: In function 'fpsphe':
scipy/interpolate/fitpack/fpsphe.f:519:0: warning: 'ntt' may be used uninitialized in this function [-Wmaybe-uninitialized]
       if(ntt.le.4) iband4 = ncof
 ^
scipy/interpolate/fitpack/fpsphe.f:614:0: warning: 'nt4' may be used uninitialized in this function [-Wmaybe-uninitialized]
                if(il.ne.3 .and. il.ne.nt4) go to 750
 ^
scipy/interpolate/fitpack/fpsphe.f:693:0: warning: 'np4' may be used uninitialized in this function [-Wmaybe-uninitialized]
           jrot = lt*np4+lp
 ^
scipy/interpolate/fitpack/fpsphe.f:746:0: warning: 'lwest' may be used uninitialized in this function [-Wmaybe-uninitialized]
  925  ier = lwest
 ^
scipy/interpolate/fitpack/fpsphe.f:21:0: warning: 'iband1' may be used uninitialized in this function [-Wmaybe-uninitialized]
       integer i,iband,iband1,iband3,iband4,ich1,ich3,ii,ij,il,in,irot,
 ^
scipy/interpolate/fitpack/fpsphe.f:510:0: warning: 'fpms' may be used uninitialized in this function [-Wmaybe-uninitialized]
       f3 = fpms
 ^
scipy/interpolate/fitpack/fpsphe.f:730:0: warning: 'acc' may be used uninitialized in this function [-Wmaybe-uninitialized]
         if((f1-f2).gt.acc) go to 905
 ^
gfortran:f77: scipy/interpolate/fitpack/fpader.f
gfortran:f77: scipy/interpolate/fitpack/profil.f
gfortran:f77: scipy/interpolate/fitpack/fprota.f
gfortran:f77: scipy/interpolate/fitpack/regrid.f
gfortran:f77: scipy/interpolate/fitpack/splder.f
gfortran:f77: scipy/interpolate/fitpack/surev.f
ar: adding 50 object files to build/temp.linux-x86_64-2.7/libfitpack.a
ar: adding 35 object files to build/temp.linux-x86_64-2.7/libfitpack.a
building 'fwrappers' library
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7/scipy/linalg
creating build/temp.linux-x86_64-2.7/builddir
creating build/temp.linux-x86_64-2.7/builddir/build
creating build/temp.linux-x86_64-2.7/builddir/build/BUILD
creating build/temp.linux-x86_64-2.7/builddir/build/BUILD/scipy-0.18.0
creating build/temp.linux-x86_64-2.7/builddir/build/BUILD/scipy-0.18.0/scipy
creating build/temp.linux-x86_64-2.7/builddir/build/BUILD/scipy-0.18.0/scipy/_build_utils
creating build/temp.linux-x86_64-2.7/builddir/build/BUILD/scipy-0.18.0/scipy/_build_utils/src
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -I/usr/include/python2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -c'
gfortran:f77: scipy/linalg/_blas_subroutine_wrappers.f
gfortran:f77: scipy/linalg/_lapack_subroutine_wrappers.f
gfortran:f77: /builddir/build/BUILD/scipy-0.18.0/scipy/_build_utils/src/wrap_dummy_g77_abi.f
gfortran:f77: /builddir/build/BUILD/scipy-0.18.0/scipy/_build_utils/src/wrap_dummy_accelerate.f
ar: adding 4 object files to build/temp.linux-x86_64-2.7/libfwrappers.a
building 'odrpack' library
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7/scipy/odr
creating build/temp.linux-x86_64-2.7/scipy/odr/odrpack
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -c'
gfortran:f77: scipy/odr/odrpack/d_odr.f
scipy/odr/odrpack/d_odr.f:1014.13:
      NETA = MAX(TWO,P5-LOG10(ETA))                                     
             1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/odr/odrpack/d_odr.f:2955.13:
      NTOL = MAX(ONE,P5-LOG10(TOL))                                     
             1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/odr/odrpack/d_odr.f:6032.16:
            J = WORK(WRK3+I) - 1                                        
                1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
gfortran:f77: scipy/odr/odrpack/d_mprec.f
gfortran:f77: scipy/odr/odrpack/dlunoc.f
gfortran:f77: scipy/odr/odrpack/d_lpk.f
ar: adding 4 object files to build/temp.linux-x86_64-2.7/libodrpack.a
building 'minpack' library
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7/scipy/optimize
creating build/temp.linux-x86_64-2.7/scipy/optimize/minpack
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -c'
gfortran:f77: scipy/optimize/minpack/rwupdt.f
gfortran:f77: scipy/optimize/minpack/hybrj.f
scipy/optimize/minpack/hybrj.f: In function 'hybrj':
scipy/optimize/minpack/hybrj.f:386:0: warning: 'xnorm' may be used uninitialized in this function [-Wmaybe-uninitialized]
             if (delta .le. xtol*xnorm .or. fnorm .eq. zero) info = 1
 ^
gfortran:f77: scipy/optimize/minpack/lmder1.f
gfortran:f77: scipy/optimize/minpack/enorm.f
scipy/optimize/minpack/enorm.f: In function 'enorm':
scipy/optimize/minpack/enorm.f:1:0: warning: '__result_enorm' may be used uninitialized in this function [-Wmaybe-uninitialized]
       double precision function enorm(n,x)
 ^
gfortran:f77: scipy/optimize/minpack/dogleg.f
gfortran:f77: scipy/optimize/minpack/r1updt.f
gfortran:f77: scipy/optimize/minpack/chkder.f
gfortran:f77: scipy/optimize/minpack/lmpar.f
gfortran:f77: scipy/optimize/minpack/lmder.f
scipy/optimize/minpack/lmder.f: In function 'lmder':
scipy/optimize/minpack/lmder.f:420:0: warning: 'xnorm' may be used uninitialized in this function [-Wmaybe-uninitialized]
             if (delta .le. xtol*xnorm) info = 2
 ^
scipy/optimize/minpack/lmder.f:387:0: warning: 'temp' may be used uninitialized in this function [-Wmaybe-uninitialized]
                if (p1*fnorm1 .ge. fnorm .or. temp .lt. p1) temp = p1
 ^
gfortran:f77: scipy/optimize/minpack/hybrj1.f
gfortran:f77: scipy/optimize/minpack/fdjac2.f
gfortran:f77: scipy/optimize/minpack/lmdif.f
scipy/optimize/minpack/lmdif.f: In function 'lmdif':
scipy/optimize/minpack/lmdif.f:422:0: warning: 'xnorm' may be used uninitialized in this function [-Wmaybe-uninitialized]
             if (delta .le. xtol*xnorm) info = 2
 ^
scipy/optimize/minpack/lmdif.f:389:0: warning: 'temp' may be used uninitialized in this function [-Wmaybe-uninitialized]
                if (p1*fnorm1 .ge. fnorm .or. temp .lt. p1) temp = p1
 ^
gfortran:f77: scipy/optimize/minpack/lmstr.f
scipy/optimize/minpack/lmstr.f: In function 'lmstr':
scipy/optimize/minpack/lmstr.f:434:0: warning: 'xnorm' may be used uninitialized in this function [-Wmaybe-uninitialized]
             if (delta .le. xtol*xnorm) info = 2
 ^
gfortran:f77: scipy/optimize/minpack/hybrd1.f
gfortran:f77: scipy/optimize/minpack/lmdif1.f
gfortran:f77: scipy/optimize/minpack/qform.f
gfortran:f77: scipy/optimize/minpack/qrsolv.f
gfortran:f77: scipy/optimize/minpack/dpmpar.f
gfortran:f77: scipy/optimize/minpack/r1mpyq.f
scipy/optimize/minpack/r1mpyq.f: In function 'r1mpyq':
scipy/optimize/minpack/r1mpyq.f:64:0: warning: 'cos' may be used uninitialized in this function [-Wmaybe-uninitialized]
          if (dabs(v(j)) .gt. one) sin = dsqrt(one-cos**2)
 ^
gfortran:f77: scipy/optimize/minpack/lmstr1.f
gfortran:f77: scipy/optimize/minpack/hybrd.f
scipy/optimize/minpack/hybrd.f: In function 'hybrd':
scipy/optimize/minpack/hybrd.f:404:0: warning: 'xnorm' may be used uninitialized in this function [-Wmaybe-uninitialized]
             if (delta .le. xtol*xnorm .or. fnorm .eq. zero) info = 1
 ^
gfortran:f77: scipy/optimize/minpack/qrfac.f
gfortran:f77: scipy/optimize/minpack/fdjac1.f
ar: adding 23 object files to build/temp.linux-x86_64-2.7/libminpack.a
building 'rootfind' library
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/scipy/optimize/Zeros
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -c'
gcc: scipy/optimize/Zeros/ridder.c
gcc: scipy/optimize/Zeros/brentq.c
gcc: scipy/optimize/Zeros/bisect.c
gcc: scipy/optimize/Zeros/brenth.c
ar: adding 4 object files to build/temp.linux-x86_64-2.7/librootfind.a
building 'superlu_src' library
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/scipy/sparse
creating build/temp.linux-x86_64-2.7/scipy/sparse/linalg
creating build/temp.linux-x86_64-2.7/scipy/sparse/linalg/dsolve
creating build/temp.linux-x86_64-2.7/scipy/sparse/linalg/dsolve/SuperLU
creating build/temp.linux-x86_64-2.7/scipy/sparse/linalg/dsolve/SuperLU/SRC
compile options: '-DUSE_VENDOR_BLAS=1 -Iscipy/sparse/linalg/dsolve/SuperLU/SRC -I/usr/lib64/python2.7/site-packages/numpy/core/include -c'
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zlacon2.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/zlacon2.c: In function 'zlacon2_':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zlacon2.c:165:5: warning: implicit declaration of function 'zcopy_' [-Wimplicit-function-declaration]
     zcopy_(n, x, &c__1, v, &c__1);
     ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zlacon2.c:171:1: warning: label 'L90' defined but not used [-Wunused-label]
 L90:
 ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/heap_relax_snode.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dzsum1.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dgssv.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/dgssv.c: In function 'dgssv':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dgssv.c:200:16: warning: 'AA' may be used uninitialized in this function [-Wmaybe-uninitialized]
     sp_preorder(options, AA, perm_c, etree, &AC);
                ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/cpivotgrowth.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/cpivotgrowth.c: In function 'cPivotGrowth':
scipy/sparse/linalg/dsolve/SuperLU/SRC/cpivotgrowth.c:63:15: warning: unused variable 'temp_comp' [-Wunused-variable]
     complex   temp_comp;
               ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_zpanel_dfs.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dldperm.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/sgsequ.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/mark_relax.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dmemory.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/dmemory.c: In function 'dLUMemXpand':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dmemory.c:443:5: warning: enumeration value 'LLVL' not handled in switch [-Wswitch]
     switch ( mem_type ) {
     ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dmemory.c:443:5: warning: enumeration value 'ULVL' not handled in switch [-Wswitch]
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_scolumn_dfs.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dpruneL.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zmemory.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/zmemory.c: In function 'zLUMemXpand':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zmemory.c:443:5: warning: enumeration value 'LLVL' not handled in switch [-Wswitch]
     switch ( mem_type ) {
     ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zmemory.c:443:5: warning: enumeration value 'ULVL' not handled in switch [-Wswitch]
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/sgsitrf.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zcolumn_bmod.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/zcolumn_bmod.c: In function 'zcolumn_bmod':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zcolumn_bmod.c:288:2: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
  if (mem_error = zLUMemXpand(jcol, nextlu, LUSUP, &nzlumax, Glu))
  ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dcolumn_dfs.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/dcolumn_dfs.c: In function 'dcolumn_dfs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dcolumn_dfs.c:129:3: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
   if ( mem_error = dLUMemXpand(jcol, nextl, LSUB, &nzlmax, Glu) )
   ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dcolumn_dfs.c:172:7: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
       dLUMemXpand(jcol,nextl,LSUB,&nzlmax,Glu) )
       ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_dpivotL.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/spanel_dfs.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_spivotL.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ccolumn_bmod.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/ccolumn_bmod.c: In function 'ccolumn_bmod':
scipy/sparse/linalg/dsolve/SuperLU/SRC/ccolumn_bmod.c:286:2: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
  if (mem_error = cLUMemXpand(jcol, nextlu, LUSUP, &nzlumax, Glu))
  ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/spivotL.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zmyblas2.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/claqgs.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/sldperm.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/sdiagonal.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_dcolumn_dfs.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zgstrf.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/get_perm_c.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_zsnode_dfs.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/superlu_timer.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zpivotL.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_heap_relax_snode.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zdiagonal.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/qselect.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/cdiagonal.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/sp_coletree.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/sp_coletree.c:243:6: warning: 'etdfs' defined but not used [-Wunused-function]
 void etdfs (
      ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dcolumn_bmod.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/dcolumn_bmod.c: In function 'dcolumn_bmod':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dcolumn_bmod.c:273:2: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
  if (mem_error = dLUMemXpand(jcol, nextlu, LUSUP, &nzlumax, Glu))
  ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/slacon2.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/slacon2.c: In function 'slacon2_':
scipy/sparse/linalg/dsolve/SuperLU/SRC/slacon2.c:150:5: warning: implicit declaration of function 'idamax_' [-Wimplicit-function-declaration]
     isave[1] = idamax_(n, &x[0], &c__1);  /* j */
     ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dgsrfs.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/dgsrfs.c: In function 'dgsrfs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dgsrfs.c:416:10: warning: 'transt' may be used uninitialized in this function [-Wmaybe-uninitialized]
   dgstrs (transt, L, U, perm_c, perm_r, &Bjcol, stat, info);
          ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/cpanel_dfs.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/cldperm.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zcolumn_dfs.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/zcolumn_dfs.c: In function 'zcolumn_dfs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zcolumn_dfs.c:129:3: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
   if ( mem_error = zLUMemXpand(jcol, nextl, LSUB, &nzlmax, Glu) )
   ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zcolumn_dfs.c:172:7: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
       zLUMemXpand(jcol,nextl,LSUB,&nzlmax,Glu) )
       ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/slangs.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/slangs.c: In function 'slangs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/slangs.c:116:5: warning: 'value' may be used uninitialized in this function [-Wmaybe-uninitialized]
     return (value);
     ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/sgsisx.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/sgsisx.c: In function 'sgsisx':
scipy/sparse/linalg/dsolve/SuperLU/SRC/sgsisx.c:578:7: warning: suggest parentheses around operand of '!' or change '&' to '&&' or '!' to '~' [-Wparentheses]
  if ( !mc64 & equil ) { /* Only perform equilibration, no row perm */
       ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sgsisx.c:667:16: warning: unused variable 'rhs_work' [-Wunused-variable]
         float *rhs_work;
                ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sgsisx.c:413:14: warning: variable 'diag_pivot_thresh' set but not used [-Wunused-but-set-variable]
     float    diag_pivot_thresh;
              ^
In file included from scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_sdefs.h:87:0,
                 from scipy/sparse/linalg/dsolve/SuperLU/SRC/sgsisx.c:12:
scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_util.h:69:46: warning: 'smlnum' may be used uninitialized in this function [-Wmaybe-uninitialized]
 #define SUPERLU_MAX(x, y)  ( (x) > (y) ? (x) : (y) )
                                              ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sgsisx.c:411:35: note: 'smlnum' was declared here
     float    amax, anorm, bignum, smlnum, colcnd, rowcnd, rcmax, rcmin;
                                   ^
In file included from scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_sdefs.h:87:0,
                 from scipy/sparse/linalg/dsolve/SuperLU/SRC/sgsisx.c:12:
scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_util.h:70:46: warning: 'bignum' may be used uninitialized in this function [-Wmaybe-uninitialized]
 #define SUPERLU_MIN(x, y)  ( (x) < (y) ? (x) : (y) )
                                              ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sgsisx.c:411:27: note: 'bignum' was declared here
     float    amax, anorm, bignum, smlnum, colcnd, rowcnd, rcmax, rcmin;
                           ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadtriple.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadtriple.c: In function 'dreadtriple':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadtriple.c:38:10: warning: ignoring return value of 'scanf', declared with attribute warn_unused_result [-Wunused-result]
     scanf("%d%d", n, nonz);
          ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadtriple.c:54:7: warning: ignoring return value of 'scanf', declared with attribute warn_unused_result [-Wunused-result]
  scanf("%d%d%lf\n", &row[nz], &col[nz], &val[nz]);
       ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadtriple.c: In function 'dreadrhs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadtriple.c:136:13: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
       fscanf(fp, "%lf\n", &b[i]);
             ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/spivotgrowth.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/clangs.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/clangs.c: In function 'clangs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/clangs.c:116:5: warning: 'value' may be used uninitialized in this function [-Wmaybe-uninitialized]
     return (value);
     ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/cgsisx.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/cgsisx.c: In function 'cgsisx':
scipy/sparse/linalg/dsolve/SuperLU/SRC/cgsisx.c:578:7: warning: suggest parentheses around operand of '!' or change '&' to '&&' or '!' to '~' [-Wparentheses]
  if ( !mc64 & equil ) { /* Only perform equilibration, no row perm */
       ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/cgsisx.c:667:18: warning: unused variable 'rhs_work' [-Wunused-variable]
         complex *rhs_work;
                  ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/cgsisx.c:413:14: warning: variable 'diag_pivot_thresh' set but not used [-Wunused-but-set-variable]
     float    diag_pivot_thresh;
              ^
In file included from scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_cdefs.h:87:0,
                 from scipy/sparse/linalg/dsolve/SuperLU/SRC/cgsisx.c:12:
scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_util.h:69:46: warning: 'smlnum' may be used uninitialized in this function [-Wmaybe-uninitialized]
 #define SUPERLU_MAX(x, y)  ( (x) > (y) ? (x) : (y) )
                                              ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/cgsisx.c:411:35: note: 'smlnum' was declared here
     float    amax, anorm, bignum, smlnum, colcnd, rowcnd, rcmax, rcmin;
                                   ^
In file included from scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_cdefs.h:87:0,
                 from scipy/sparse/linalg/dsolve/SuperLU/SRC/cgsisx.c:12:
scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_util.h:70:46: warning: 'bignum' may be used uninitialized in this function [-Wmaybe-uninitialized]
 #define SUPERLU_MIN(x, y)  ( (x) < (y) ? (x) : (y) )
                                              ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/cgsisx.c:411:27: note: 'bignum' was declared here
     float    amax, anorm, bignum, smlnum, colcnd, rowcnd, rcmax, rcmin;
                           ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zsnode_dfs.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/zsnode_dfs.c: In function 'zsnode_dfs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zsnode_dfs.c:81:7: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
       if ( mem_error = zLUMemXpand(jcol, nextl, LSUB, &nzlmax, Glu) )
       ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zsnode_dfs.c:94:6: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
      if ( mem_error = zLUMemXpand(jcol, nextl, LSUB, &nzlmax, Glu) )
      ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zldperm.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_ccopy_to_ucol.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_ccopy_to_ucol.c: In function 'ilu_ccopy_to_ucol':
scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_ccopy_to_ucol.c:183:11: warning: 'tmp' may be used uninitialized in this function [-Wmaybe-uninitialized]
    sum->r += tmp;
           ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ssp_blas2.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dlacon2.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadhb.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadhb.c: In function 'zreadhb':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadhb.c:291:29: warning: unused variable 'key' [-Wunused-variable]
     char buf[100], type[4], key[10];
                             ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadhb.c: In function 'zReadValues':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadhb.c:159:7: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
  fgets(buf, 100, fp);    /* read a line at a time */
       ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadhb.c: In function 'zreadhb':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadhb.c:295:10: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
     fgets(buf, 100, fp);
          ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadhb.c:307:8: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
  fscanf(fp, "%14c", buf); buf[14] = 0;
        ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadhb.c:315:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%3c", type);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadhb.c:316:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%11c", buf); /* pad */
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadhb.c:322:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", nrow);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadhb.c:323:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", ncol);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadhb.c:324:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", nonz);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadhb.c:325:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", &tmp);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadhb.c:337:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%16c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadhb.c:339:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%16c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadhb.c:341:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%20c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadhb.c:343:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%20c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadhb.c: In function 'ReadVector':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadhb.c:137:7: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
  fgets(buf, 100, fp);    /* read a line at a time */
       ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadrb.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadrb.c: In function 'zreadrb':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadrb.c:294:10: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
     fgets(buf, 100, fp);
          ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadrb.c:299:15: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
         fscanf(fp, "%14c", buf); buf[14] = 0;
               ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadrb.c:306:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%3c", type);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadrb.c:307:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%11c", buf); /* pad */
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadrb.c:313:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", nrow);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadrb.c:314:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", ncol);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadrb.c:315:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", nonz);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadrb.c:316:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", &tmp);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadrb.c:328:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%16c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadrb.c:330:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%16c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadrb.c:332:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%20c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadrb.c: In function 'ReadVector':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadrb.c:132:14: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
         fgets(buf, 100, fp);    /* read a line at a time */
              ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadrb.c: In function 'zReadValues':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadrb.c:154:7: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
  fgets(buf, 100, fp);    /* read a line at a time */
       ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_relax_snode.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dpivotL.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/cgsequ.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/cgsrfs.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/cgsrfs.c: In function 'cgsrfs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/cgsrfs.c:416:10: warning: 'transt' may be used uninitialized in this function [-Wmaybe-uninitialized]
   cgstrs (transt, L, U, perm_c, perm_r, &Bjcol, stat, info);
          ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zcopy_to_ucol.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/zcopy_to_ucol.c: In function 'zcopy_to_ucol':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zcopy_to_ucol.c:77:7: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
       if (mem_error = zLUMemXpand(jcol, nextu, UCOL, &nzumax, Glu))
       ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zcopy_to_ucol.c:80:7: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
       if (mem_error = zLUMemXpand(jcol, nextu, USUB, &nzumax, Glu))
       ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/izmax1.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/izmax1.c: In function 'izmax1_slu':
scipy/sparse/linalg/dsolve/SuperLU/SRC/izmax1.c:51:24: warning: variable 'i__2' set but not used [-Wunused-but-set-variable]
     int ret_val, i__1, i__2;
                        ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/izmax1.c:51:18: warning: variable 'i__1' set but not used [-Wunused-but-set-variable]
     int ret_val, i__1, i__2;
                  ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_zdrop_row.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_zdrop_row.c: In function 'ilu_zdrop_row':
scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_zdrop_row.c:186:3: warning: implicit declaration of function 'dcopy_' [-Wimplicit-function-declaration]
   dcopy_(&len, dwork, &i_1, dwork2, &i_1);
   ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_zdrop_row.c:75:19: warning: unused variable 'zero' [-Wunused-variable]
     doublecomplex zero = {0.0, 0.0};
                   ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_zdrop_row.c: At top level:
scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_zdrop_row.c:25:12: warning: '_compare_' defined but not used [-Wunused-function]
 static int _compare_(const void *a, const void *b)
            ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_csnode_dfs.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dpanel_dfs.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_sdrop_row.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_sdrop_row.c:25:12: warning: '_compare_' defined but not used [-Wunused-function]
 static int _compare_(const void *a, const void *b)
            ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zpanel_dfs.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dutil.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/dutil.c: In function 'dFillRHS':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dutil.c:358:15: warning: variable 'Aval' set but not used [-Wunused-but-set-variable]
     double   *Aval;
               ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dutil.c: At top level:
scipy/sparse/linalg/dsolve/SuperLU/SRC/dutil.c:464:1: warning: return type defaults to 'int' [-Wreturn-type]
 print_double_vec(char *what, int n, double *vec)
 ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dcomplex.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dlangs.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/dlangs.c: In function 'dlangs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dlangs.c:116:5: warning: 'value' may be used uninitialized in this function [-Wmaybe-uninitialized]
     return (value);
     ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zlangs.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/zlangs.c: In function 'zlangs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zlangs.c:116:5: warning: 'value' may be used uninitialized in this function [-Wmaybe-uninitialized]
     return (value);
     ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ccolumn_dfs.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/ccolumn_dfs.c: In function 'ccolumn_dfs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/ccolumn_dfs.c:129:3: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
   if ( mem_error = cLUMemXpand(jcol, nextl, LSUB, &nzlmax, Glu) )
   ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/ccolumn_dfs.c:172:7: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
       cLUMemXpand(jcol,nextl,LSUB,&nzlmax,Glu) )
       ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dsnode_bmod.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/dsnode_bmod.c: In function 'dsnode_bmod':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dsnode_bmod.c:52:35: warning: unused variable 'iptr' [-Wunused-variable]
     int            isub, irow, i, iptr; 
                                   ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dsnode_bmod.c:52:32: warning: unused variable 'i' [-Wunused-variable]
     int            isub, irow, i, iptr; 
                                ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/util.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/util.c: In function 'ilu_countnz':
scipy/sparse/linalg/dsolve/SuperLU/SRC/util.c:214:24: warning: variable 'irep' set but not used [-Wunused-but-set-variable]
     int          jlen, irep;
                        ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/cpivotL.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zsnode_bmod.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/zsnode_bmod.c: In function 'zsnode_bmod':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zsnode_bmod.c:53:35: warning: unused variable 'iptr' [-Wunused-variable]
     int            isub, irow, i, iptr; 
                                   ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zsnode_bmod.c:53:32: warning: unused variable 'i' [-Wunused-variable]
     int            isub, irow, i, iptr; 
                                ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zsp_blas2.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/zsp_blas2.c: In function 'sp_zgemv':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zsp_blas2.c:492:27: warning: suggest parentheses around '&&' within '||' [-Wparentheses]
  z_eq(&alpha, &comp_zero) && 
                           ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ddiagonal.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/cgssv.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/cgssv.c: In function 'cgssv':
scipy/sparse/linalg/dsolve/SuperLU/SRC/cgssv.c:200:16: warning: 'AA' may be used uninitialized in this function [-Wmaybe-uninitialized]
     sp_preorder(options, AA, perm_c, etree, &AC);
                ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dgscon.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dgsequ.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dgsitrf.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/relax_snode.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zutil.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/zutil.c: In function 'zFillRHS':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zutil.c:360:22: warning: variable 'Aval' set but not used [-Wunused-but-set-variable]
     doublecomplex   *Aval;
                      ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zutil.c: At top level:
scipy/sparse/linalg/dsolve/SuperLU/SRC/zutil.c:468:1: warning: return type defaults to 'int' [-Wreturn-type]
 print_doublecomplex_vec(char *what, int n, doublecomplex *vec)
 ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_zcopy_to_ucol.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_zcopy_to_ucol.c: In function 'ilu_zcopy_to_ucol':
scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_zcopy_to_ucol.c:183:11: warning: 'tmp' may be used uninitialized in this function [-Wmaybe-uninitialized]
    sum->r += tmp;
           ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/mmd.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/cmemory.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/cmemory.c: In function 'cLUMemXpand':
scipy/sparse/linalg/dsolve/SuperLU/SRC/cmemory.c:443:5: warning: enumeration value 'LLVL' not handled in switch [-Wswitch]
     switch ( mem_type ) {
     ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/cmemory.c:443:5: warning: enumeration value 'ULVL' not handled in switch [-Wswitch]
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ssnode_dfs.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/ssnode_dfs.c: In function 'ssnode_dfs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/ssnode_dfs.c:81:7: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
       if ( mem_error = sLUMemXpand(jcol, nextl, LSUB, &nzlmax, Glu) )
       ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/ssnode_dfs.c:94:6: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
      if ( mem_error = sLUMemXpand(jcol, nextl, LSUB, &nzlmax, Glu) )
      ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_ddrop_row.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_ddrop_row.c:25:12: warning: '_compare_' defined but not used [-Wunused-function]
 static int _compare_(const void *a, const void *b)
            ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/cpanel_bmod.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zgsrfs.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/zgsrfs.c: In function 'zgsrfs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zgsrfs.c:416:10: warning: 'transt' may be used uninitialized in this function [-Wmaybe-uninitialized]
   zgstrs (transt, L, U, perm_c, perm_r, &Bjcol, stat, info);
          ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ccopy_to_ucol.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/ccopy_to_ucol.c: In function 'ccopy_to_ucol':
scipy/sparse/linalg/dsolve/SuperLU/SRC/ccopy_to_ucol.c:77:7: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
       if (mem_error = cLUMemXpand(jcol, nextu, UCOL, &nzumax, Glu))
       ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/ccopy_to_ucol.c:80:7: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
       if (mem_error = cLUMemXpand(jcol, nextu, USUB, &nzumax, Glu))
       ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/sgsrfs.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/sgsrfs.c: In function 'sgsrfs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/sgsrfs.c:416:10: warning: 'transt' may be used uninitialized in this function [-Wmaybe-uninitialized]
   sgstrs (transt, L, U, perm_c, perm_r, &Bjcol, stat, info);
          ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dmach.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/dmach.c: In function 'dmach':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dmach.c:52:5: warning: implicit declaration of function 'strncmp' [-Wimplicit-function-declaration]
     if (strncmp(cmach, "E", 1)==0) {
     ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dmach.c:81:5: warning: 'rmach' may be used uninitialized in this function [-Wmaybe-uninitialized]
     return rmach;
     ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/cgscon.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zgsitrf.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/zgsitrf.c: In function 'zgsitrf':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zgsitrf.c:241:12: warning: unused variable 'one' [-Wunused-variable]
     double one = 1.0;
            ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/cgsitrf.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/cgsitrf.c: In function 'cgsitrf':
scipy/sparse/linalg/dsolve/SuperLU/SRC/cgsitrf.c:241:11: warning: unused variable 'one' [-Wunused-variable]
     float one = 1.0;
           ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/clacon2.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/clacon2.c: In function 'clacon2_':
scipy/sparse/linalg/dsolve/SuperLU/SRC/clacon2.c:165:5: warning: implicit declaration of function 'ccopy_' [-Wimplicit-function-declaration]
     ccopy_(n, x, &c__1, v, &c__1);
     ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/clacon2.c:171:1: warning: label 'L90' defined but not used [-Wunused-label]
 L90:
 ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_dsnode_dfs.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/sp_ienv.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/sp_ienv.c: In function 'sp_ienv':
scipy/sparse/linalg/dsolve/SuperLU/SRC/sp_ienv.c:75:5: warning: implicit declaration of function 'input_error' [-Wimplicit-function-declaration]
     input_error("sp_ienv", &i);
     ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/sgssv.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/sgssv.c: In function 'sgssv':
scipy/sparse/linalg/dsolve/SuperLU/SRC/sgssv.c:200:16: warning: 'AA' may be used uninitialized in this function [-Wmaybe-uninitialized]
     sp_preorder(options, AA, perm_c, etree, &AC);
                ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/csnode_bmod.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/csnode_bmod.c: In function 'csnode_bmod':
scipy/sparse/linalg/dsolve/SuperLU/SRC/csnode_bmod.c:53:35: warning: unused variable 'iptr' [-Wunused-variable]
     int            isub, irow, i, iptr; 
                                   ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/csnode_bmod.c:53:32: warning: unused variable 'i' [-Wunused-variable]
     int            isub, irow, i, iptr; 
                                ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/memory.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/sgstrf.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/scolumn_bmod.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/scolumn_bmod.c: In function 'scolumn_bmod':
scipy/sparse/linalg/dsolve/SuperLU/SRC/scolumn_bmod.c:273:2: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
  if (mem_error = sLUMemXpand(jcol, nextlu, LUSUP, &nzlumax, Glu))
  ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/sgscon.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zpanel_bmod.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dgstrf.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/csp_blas3.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/cpruneL.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zgsisx.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/zgsisx.c: In function 'zgsisx':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zgsisx.c:578:7: warning: suggest parentheses around operand of '!' or change '&' to '&&' or '!' to '~' [-Wparentheses]
  if ( !mc64 & equil ) { /* Only perform equilibration, no row perm */
       ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zgsisx.c:667:24: warning: unused variable 'rhs_work' [-Wunused-variable]
         doublecomplex *rhs_work;
                        ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zgsisx.c:413:15: warning: variable 'diag_pivot_thresh' set but not used [-Wunused-but-set-variable]
     double    diag_pivot_thresh;
               ^
In file included from scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_zdefs.h:87:0,
                 from scipy/sparse/linalg/dsolve/SuperLU/SRC/zgsisx.c:12:
scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_util.h:69:46: warning: 'smlnum' may be used uninitialized in this function [-Wmaybe-uninitialized]
 #define SUPERLU_MAX(x, y)  ( (x) > (y) ? (x) : (y) )
                                              ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zgsisx.c:411:36: note: 'smlnum' was declared here
     double    amax, anorm, bignum, smlnum, colcnd, rowcnd, rcmax, rcmin;
                                    ^
In file included from scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_zdefs.h:87:0,
                 from scipy/sparse/linalg/dsolve/SuperLU/SRC/zgsisx.c:12:
scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_util.h:70:46: warning: 'bignum' may be used uninitialized in this function [-Wmaybe-uninitialized]
 #define SUPERLU_MIN(x, y)  ( (x) < (y) ? (x) : (y) )
                                              ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zgsisx.c:411:28: note: 'bignum' was declared here
     double    amax, anorm, bignum, smlnum, colcnd, rowcnd, rcmax, rcmin;
                            ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadrb.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadrb.c: In function 'dreadrb':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadrb.c:285:10: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
     fgets(buf, 100, fp);
          ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadrb.c:290:15: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
         fscanf(fp, "%14c", buf); buf[14] = 0;
               ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadrb.c:297:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%3c", type);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadrb.c:298:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%11c", buf); /* pad */
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadrb.c:304:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", nrow);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadrb.c:305:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", ncol);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadrb.c:306:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", nonz);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadrb.c:307:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", &tmp);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadrb.c:319:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%16c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadrb.c:321:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%16c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadrb.c:323:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%20c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadrb.c: In function 'ReadVector':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadrb.c:132:14: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
         fgets(buf, 100, fp);    /* read a line at a time */
              ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadrb.c: In function 'dReadValues':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadrb.c:153:14: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
         fgets(buf, 100, fp);    /* read a line at a time */
              ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_cpanel_dfs.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/csnode_dfs.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/csnode_dfs.c: In function 'csnode_dfs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/csnode_dfs.c:81:7: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
       if ( mem_error = cLUMemXpand(jcol, nextl, LSUB, &nzlmax, Glu) )
       ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/csnode_dfs.c:94:6: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
      if ( mem_error = cLUMemXpand(jcol, nextl, LSUB, &nzlmax, Glu) )
      ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/spanel_bmod.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/colamd.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zsp_blas3.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/sp_preorder.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_cdrop_row.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_cdrop_row.c: In function 'ilu_cdrop_row':
scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_cdrop_row.c:186:3: warning: implicit declaration of function 'scopy_' [-Wimplicit-function-declaration]
   scopy_(&len, swork, &i_1, swork2, &i_1);
   ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_cdrop_row.c:75:13: warning: unused variable 'zero' [-Wunused-variable]
     complex zero = {0.0, 0.0};
             ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_cdrop_row.c: At top level:
scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_cdrop_row.c:25:12: warning: '_compare_' defined but not used [-Wunused-function]
 static int _compare_(const void *a, const void *b)
            ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zlaqgs.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/scopy_to_ucol.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/scopy_to_ucol.c: In function 'scopy_to_ucol':
scipy/sparse/linalg/dsolve/SuperLU/SRC/scopy_to_ucol.c:77:7: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
       if (mem_error = sLUMemXpand(jcol, nextu, UCOL, &nzumax, Glu))
       ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/scopy_to_ucol.c:80:7: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
       if (mem_error = sLUMemXpand(jcol, nextu, USUB, &nzumax, Glu))
       ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/sgssvx.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/sgssvx.c: In function 'sgssvx':
scipy/sparse/linalg/dsolve/SuperLU/SRC/sgssvx.c:367:14: warning: variable 'diag_pivot_thresh' set but not used [-Wunused-but-set-variable]
     float    diag_pivot_thresh;
              ^
In file included from scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_sdefs.h:87:0,
                 from scipy/sparse/linalg/dsolve/SuperLU/SRC/sgssvx.c:12:
scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_util.h:69:46: warning: 'smlnum' may be used uninitialized in this function [-Wmaybe-uninitialized]
 #define SUPERLU_MAX(x, y)  ( (x) > (y) ? (x) : (y) )
                                              ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sgssvx.c:365:35: note: 'smlnum' was declared here
     float    amax, anorm, bignum, smlnum, colcnd, rowcnd, rcmax, rcmin;
                                   ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sgssvx.c:425:9: warning: 'bignum' may be used uninitialized in this function [-Wmaybe-uninitialized]
      if (rcmin <= 0.) *info = -7;
         ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_cpivotL.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dcopy_to_ucol.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/dcopy_to_ucol.c: In function 'dcopy_to_ucol':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dcopy_to_ucol.c:77:7: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
       if (mem_error = dLUMemXpand(jcol, nextu, UCOL, &nzumax, Glu))
       ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dcopy_to_ucol.c:80:7: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
       if (mem_error = dLUMemXpand(jcol, nextu, USUB, &nzumax, Glu))
       ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_zcolumn_dfs.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/smyblas2.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadrb.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadrb.c: In function 'sreadrb':
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadrb.c:285:10: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
     fgets(buf, 100, fp);
          ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadrb.c:290:15: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
         fscanf(fp, "%14c", buf); buf[14] = 0;
               ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadrb.c:297:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%3c", type);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadrb.c:298:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%11c", buf); /* pad */
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadrb.c:304:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", nrow);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadrb.c:305:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", ncol);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadrb.c:306:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", nonz);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadrb.c:307:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", &tmp);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadrb.c:319:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%16c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadrb.c:321:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%16c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadrb.c:323:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%20c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadrb.c: In function 'ReadVector':
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadrb.c:132:14: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
         fgets(buf, 100, fp);    /* read a line at a time */
              ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadrb.c: In function 'sReadValues':
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadrb.c:153:14: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
         fgets(buf, 100, fp);    /* read a line at a time */
              ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadhb.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadhb.c: In function 'dreadhb':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadhb.c:281:29: warning: unused variable 'key' [-Wunused-variable]
     char buf[100], type[4], key[10];
                             ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadhb.c: In function 'dReadValues':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadhb.c:157:7: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
  fgets(buf, 100, fp);    /* read a line at a time */
       ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadhb.c: In function 'dreadhb':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadhb.c:285:10: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
     fgets(buf, 100, fp);
          ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadhb.c:297:8: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
  fscanf(fp, "%14c", buf); buf[14] = 0;
        ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadhb.c:305:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%3c", type);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadhb.c:306:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%11c", buf); /* pad */
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadhb.c:312:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", nrow);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadhb.c:313:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", ncol);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadhb.c:314:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", nonz);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadhb.c:315:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", &tmp);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadhb.c:327:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%16c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadhb.c:329:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%16c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadhb.c:331:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%20c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadhb.c:333:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%20c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadhb.c: In function 'ReadVector':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dreadhb.c:137:7: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
  fgets(buf, 100, fp);    /* read a line at a time */
       ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_zpivotL.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_dcopy_to_ucol.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_spanel_dfs.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dsp_blas2.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/scolumn_dfs.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/scolumn_dfs.c: In function 'scolumn_dfs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/scolumn_dfs.c:129:3: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
   if ( mem_error = sLUMemXpand(jcol, nextl, LSUB, &nzlmax, Glu) )
   ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/scolumn_dfs.c:172:7: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
       sLUMemXpand(jcol,nextl,LSUB,&nzlmax,Glu) )
       ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/creadhb.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadhb.c: In function 'creadhb':
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadhb.c:291:29: warning: unused variable 'key' [-Wunused-variable]
     char buf[100], type[4], key[10];
                             ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadhb.c: In function 'cReadValues':
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadhb.c:159:7: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
  fgets(buf, 100, fp);    /* read a line at a time */
       ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadhb.c: In function 'creadhb':
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadhb.c:295:10: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
     fgets(buf, 100, fp);
          ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadhb.c:307:8: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
  fscanf(fp, "%14c", buf); buf[14] = 0;
        ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadhb.c:315:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%3c", type);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadhb.c:316:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%11c", buf); /* pad */
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadhb.c:322:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", nrow);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadhb.c:323:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", ncol);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadhb.c:324:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", nonz);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadhb.c:325:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", &tmp);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadhb.c:337:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%16c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadhb.c:339:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%16c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadhb.c:341:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%20c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadhb.c:343:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%20c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadhb.c: In function 'ReadVector':
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadhb.c:137:7: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
  fgets(buf, 100, fp);    /* read a line at a time */
       ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ssnode_bmod.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/ssnode_bmod.c: In function 'ssnode_bmod':
scipy/sparse/linalg/dsolve/SuperLU/SRC/ssnode_bmod.c:52:35: warning: unused variable 'iptr' [-Wunused-variable]
     int            isub, irow, i, iptr; 
                                   ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/ssnode_bmod.c:52:32: warning: unused variable 'i' [-Wunused-variable]
     int            isub, irow, i, iptr; 
                                ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_scopy_to_ucol.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/cgstrf.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ssp_blas3.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zgsequ.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dgstrs.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/dgstrs.c: In function 'dgstrs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dgstrs.c:98:24: warning: unused variable 'incy' [-Wunused-variable]
     int      incx = 1, incy = 1;
                        ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dgstrs.c:98:14: warning: unused variable 'incx' [-Wunused-variable]
     int      incx = 1, incy = 1;
              ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zgscon.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/scomplex.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/scsum1.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/scsum1.c: In function 'scsum1_slu':
scipy/sparse/linalg/dsolve/SuperLU/SRC/scsum1.c:46:15: warning: variable 'i__2' set but not used [-Wunused-but-set-variable]
     int i__1, i__2;
               ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/scsum1.c:46:9: warning: variable 'i__1' set but not used [-Wunused-but-set-variable]
     int i__1, i__2;
         ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_ccolumn_dfs.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/slaqgs.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dlaqgs.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/smemory.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/smemory.c: In function 'sLUMemXpand':
scipy/sparse/linalg/dsolve/SuperLU/SRC/smemory.c:443:5: warning: enumeration value 'LLVL' not handled in switch [-Wswitch]
     switch ( mem_type ) {
     ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/smemory.c:443:5: warning: enumeration value 'ULVL' not handled in switch [-Wswitch]
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/smach.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/smach.c: In function 'smach':
scipy/sparse/linalg/dsolve/SuperLU/SRC/smach.c:52:5: warning: implicit declaration of function 'strncmp' [-Wimplicit-function-declaration]
     if (strncmp(cmach, "E", 1)==0) {
     ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/smach.c:81:5: warning: 'rmach' may be used uninitialized in this function [-Wmaybe-uninitialized]
     return rmach;
     ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/cgssvx.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/cgssvx.c: In function 'cgssvx':
scipy/sparse/linalg/dsolve/SuperLU/SRC/cgssvx.c:367:14: warning: variable 'diag_pivot_thresh' set but not used [-Wunused-but-set-variable]
     float    diag_pivot_thresh;
              ^
In file included from scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_cdefs.h:87:0,
                 from scipy/sparse/linalg/dsolve/SuperLU/SRC/cgssvx.c:12:
scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_util.h:69:46: warning: 'smlnum' may be used uninitialized in this function [-Wmaybe-uninitialized]
 #define SUPERLU_MAX(x, y)  ( (x) > (y) ? (x) : (y) )
                                              ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/cgssvx.c:365:35: note: 'smlnum' was declared here
     float    amax, anorm, bignum, smlnum, colcnd, rowcnd, rcmax, rcmin;
                                   ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/cgssvx.c:425:9: warning: 'bignum' may be used uninitialized in this function [-Wmaybe-uninitialized]
      if (rcmin <= 0.) *info = -7;
         ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dmyblas2.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zgssvx.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/zgssvx.c: In function 'zgssvx':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zgssvx.c:367:15: warning: variable 'diag_pivot_thresh' set but not used [-Wunused-but-set-variable]
     double    diag_pivot_thresh;
               ^
In file included from scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_zdefs.h:87:0,
                 from scipy/sparse/linalg/dsolve/SuperLU/SRC/zgssvx.c:12:
scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_util.h:69:46: warning: 'smlnum' may be used uninitialized in this function [-Wmaybe-uninitialized]
 #define SUPERLU_MAX(x, y)  ( (x) > (y) ? (x) : (y) )
                                              ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zgssvx.c:365:36: note: 'smlnum' was declared here
     double    amax, anorm, bignum, smlnum, colcnd, rowcnd, rcmax, rcmin;
                                    ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zgssvx.c:425:9: warning: 'bignum' may be used uninitialized in this function [-Wmaybe-uninitialized]
      if (rcmin <= 0.) *info = -7;
         ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/cutil.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/cutil.c: In function 'cFillRHS':
scipy/sparse/linalg/dsolve/SuperLU/SRC/cutil.c:360:16: warning: variable 'Aval' set but not used [-Wunused-but-set-variable]
     complex   *Aval;
                ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/cutil.c: At top level:
scipy/sparse/linalg/dsolve/SuperLU/SRC/cutil.c:468:1: warning: return type defaults to 'int' [-Wreturn-type]
 print_complex_vec(char *what, int n, complex *vec)
 ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadtriple.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadtriple.c: In function 'sreadtriple':
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadtriple.c:38:10: warning: ignoring return value of 'scanf', declared with attribute warn_unused_result [-Wunused-result]
     scanf("%d%d", n, nonz);
          ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadtriple.c:54:7: warning: ignoring return value of 'scanf', declared with attribute warn_unused_result [-Wunused-result]
  scanf("%d%d%f\n", &row[nz], &col[nz], &val[nz]);
       ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadtriple.c: In function 'sreadrhs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadtriple.c:136:13: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
       fscanf(fp, "%f\n", &b[i]);
             ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zpivotgrowth.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/zpivotgrowth.c: In function 'zPivotGrowth':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zpivotgrowth.c:63:21: warning: unused variable 'temp_comp' [-Wunused-variable]
     doublecomplex   temp_comp;
                     ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/cmyblas2.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/csp_blas2.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/csp_blas2.c: In function 'sp_cgemv':
scipy/sparse/linalg/dsolve/SuperLU/SRC/csp_blas2.c:492:27: warning: suggest parentheses around '&&' within '||' [-Wparentheses]
  c_eq(&alpha, &comp_zero) && 
                           ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zgstrs.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/zgstrs.c: In function 'zgstrs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zgstrs.c:98:24: warning: unused variable 'incy' [-Wunused-variable]
     int      incx = 1, incy = 1;
                        ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zgstrs.c:98:14: warning: unused variable 'incx' [-Wunused-variable]
     int      incx = 1, incy = 1;
              ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadhb.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadhb.c: In function 'sreadhb':
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadhb.c:281:29: warning: unused variable 'key' [-Wunused-variable]
     char buf[100], type[4], key[10];
                             ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadhb.c: In function 'sReadValues':
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadhb.c:157:7: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
  fgets(buf, 100, fp);    /* read a line at a time */
       ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadhb.c: In function 'sreadhb':
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadhb.c:285:10: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
     fgets(buf, 100, fp);
          ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadhb.c:297:8: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
  fscanf(fp, "%14c", buf); buf[14] = 0;
        ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadhb.c:305:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%3c", type);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadhb.c:306:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%11c", buf); /* pad */
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadhb.c:312:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", nrow);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadhb.c:313:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", ncol);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadhb.c:314:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", nonz);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadhb.c:315:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", &tmp);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadhb.c:327:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%16c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadhb.c:329:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%16c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadhb.c:331:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%20c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadhb.c:333:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%20c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadhb.c: In function 'ReadVector':
scipy/sparse/linalg/dsolve/SuperLU/SRC/sreadhb.c:137:7: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
  fgets(buf, 100, fp);    /* read a line at a time */
       ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dpanel_bmod.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadtriple.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadtriple.c: In function 'zreadtriple':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadtriple.c:38:10: warning: ignoring return value of 'scanf', declared with attribute warn_unused_result [-Wunused-result]
     scanf("%d%d", n, nonz);
          ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadtriple.c:54:7: warning: ignoring return value of 'scanf', declared with attribute warn_unused_result [-Wunused-result]
  scanf("%d%d%lf%lf\n", &row[nz], &col[nz], &val[nz].r, &val[nz].i);
       ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadtriple.c: In function 'zreadrhs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zreadtriple.c:136:13: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
       fscanf(fp, "%lf%lf\n", &b[i].r, &b[i].i);
             ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/cgstrs.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/cgstrs.c: In function 'cgstrs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/cgstrs.c:98:24: warning: unused variable 'incy' [-Wunused-variable]
     int      incx = 1, incy = 1;
                        ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/cgstrs.c:98:14: warning: unused variable 'incx' [-Wunused-variable]
     int      incx = 1, incy = 1;
              ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dsnode_dfs.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/dsnode_dfs.c: In function 'dsnode_dfs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dsnode_dfs.c:81:7: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
       if ( mem_error = dLUMemXpand(jcol, nextl, LSUB, &nzlmax, Glu) )
       ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dsnode_dfs.c:94:6: warning: suggest parentheses around assignment used as truth value [-Wparentheses]
      if ( mem_error = dLUMemXpand(jcol, nextl, LSUB, &nzlmax, Glu) )
      ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/icmax1.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/icmax1.c: In function 'icmax1_slu':
scipy/sparse/linalg/dsolve/SuperLU/SRC/icmax1.c:53:24: warning: variable 'i__2' set but not used [-Wunused-but-set-variable]
     int ret_val, i__1, i__2;
                        ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/icmax1.c:53:18: warning: variable 'i__1' set but not used [-Wunused-but-set-variable]
     int ret_val, i__1, i__2;
                  ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/sutil.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/sutil.c: In function 'sFillRHS':
scipy/sparse/linalg/dsolve/SuperLU/SRC/sutil.c:358:14: warning: variable 'Aval' set but not used [-Wunused-but-set-variable]
     float   *Aval;
              ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sutil.c: At top level:
scipy/sparse/linalg/dsolve/SuperLU/SRC/sutil.c:464:1: warning: return type defaults to 'int' [-Wreturn-type]
 print_float_vec(char *what, int n, float *vec)
 ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/creadtriple.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadtriple.c: In function 'creadtriple':
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadtriple.c:38:10: warning: ignoring return value of 'scanf', declared with attribute warn_unused_result [-Wunused-result]
     scanf("%d%d", n, nonz);
          ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadtriple.c:54:7: warning: ignoring return value of 'scanf', declared with attribute warn_unused_result [-Wunused-result]
  scanf("%d%d%f%f\n", &row[nz], &col[nz], &val[nz].r, &val[nz].i);
       ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadtriple.c: In function 'creadrhs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadtriple.c:136:13: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
       fscanf(fp, "%f%f\n", &b[i].r, &b[i].i);
             ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/spruneL.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dpivotgrowth.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_ssnode_dfs.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/sgstrs.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/sgstrs.c: In function 'sgstrs':
scipy/sparse/linalg/dsolve/SuperLU/SRC/sgstrs.c:98:24: warning: unused variable 'incy' [-Wunused-variable]
     int      incx = 1, incy = 1;
                        ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/sgstrs.c:98:14: warning: unused variable 'incx' [-Wunused-variable]
     int      incx = 1, incy = 1;
              ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zgssv.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/zgssv.c: In function 'zgssv':
scipy/sparse/linalg/dsolve/SuperLU/SRC/zgssv.c:200:16: warning: 'AA' may be used uninitialized in this function [-Wmaybe-uninitialized]
     sp_preorder(options, AA, perm_c, etree, &AC);
                ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dsp_blas3.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dgsisx.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/dgsisx.c: In function 'dgsisx':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dgsisx.c:578:7: warning: suggest parentheses around operand of '!' or change '&' to '&&' or '!' to '~' [-Wparentheses]
  if ( !mc64 & equil ) { /* Only perform equilibration, no row perm */
       ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dgsisx.c:667:17: warning: unused variable 'rhs_work' [-Wunused-variable]
         double *rhs_work;
                 ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dgsisx.c:413:15: warning: variable 'diag_pivot_thresh' set but not used [-Wunused-but-set-variable]
     double    diag_pivot_thresh;
               ^
In file included from scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_ddefs.h:87:0,
                 from scipy/sparse/linalg/dsolve/SuperLU/SRC/dgsisx.c:12:
scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_util.h:69:46: warning: 'smlnum' may be used uninitialized in this function [-Wmaybe-uninitialized]
 #define SUPERLU_MAX(x, y)  ( (x) > (y) ? (x) : (y) )
                                              ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dgsisx.c:411:36: note: 'smlnum' was declared here
     double    amax, anorm, bignum, smlnum, colcnd, rowcnd, rcmax, rcmin;
                                    ^
In file included from scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_ddefs.h:87:0,
                 from scipy/sparse/linalg/dsolve/SuperLU/SRC/dgsisx.c:12:
scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_util.h:70:46: warning: 'bignum' may be used uninitialized in this function [-Wmaybe-uninitialized]
 #define SUPERLU_MIN(x, y)  ( (x) < (y) ? (x) : (y) )
                                              ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dgsisx.c:411:28: note: 'bignum' was declared here
     double    amax, anorm, bignum, smlnum, colcnd, rowcnd, rcmax, rcmin;
                            ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/dgssvx.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/dgssvx.c: In function 'dgssvx':
scipy/sparse/linalg/dsolve/SuperLU/SRC/dgssvx.c:367:15: warning: variable 'diag_pivot_thresh' set but not used [-Wunused-but-set-variable]
     double    diag_pivot_thresh;
               ^
In file included from scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_ddefs.h:87:0,
                 from scipy/sparse/linalg/dsolve/SuperLU/SRC/dgssvx.c:12:
scipy/sparse/linalg/dsolve/SuperLU/SRC/slu_util.h:69:46: warning: 'smlnum' may be used uninitialized in this function [-Wmaybe-uninitialized]
 #define SUPERLU_MAX(x, y)  ( (x) > (y) ? (x) : (y) )
                                              ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dgssvx.c:365:36: note: 'smlnum' was declared here
     double    amax, anorm, bignum, smlnum, colcnd, rowcnd, rcmax, rcmin;
                                    ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/dgssvx.c:425:9: warning: 'bignum' may be used uninitialized in this function [-Wmaybe-uninitialized]
      if (rcmin <= 0.) *info = -7;
         ^
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/zpruneL.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/ilu_dpanel_dfs.c
gcc: scipy/sparse/linalg/dsolve/SuperLU/SRC/creadrb.c
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadrb.c: In function 'creadrb':
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadrb.c:294:10: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
     fgets(buf, 100, fp);
          ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadrb.c:299:15: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
         fscanf(fp, "%14c", buf); buf[14] = 0;
               ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadrb.c:306:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%3c", type);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadrb.c:307:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%11c", buf); /* pad */
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadrb.c:313:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", nrow);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadrb.c:314:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", ncol);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadrb.c:315:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", nonz);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadrb.c:316:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%14c", buf); sscanf(buf, "%d", &tmp);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadrb.c:328:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%16c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadrb.c:330:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%16c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadrb.c:332:11: warning: ignoring return value of 'fscanf', declared with attribute warn_unused_result [-Wunused-result]
     fscanf(fp, "%20c", buf);
           ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadrb.c: In function 'ReadVector':
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadrb.c:132:14: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
         fgets(buf, 100, fp);    /* read a line at a time */
              ^
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadrb.c: In function 'cReadValues':
scipy/sparse/linalg/dsolve/SuperLU/SRC/creadrb.c:154:7: warning: ignoring return value of 'fgets', declared with attribute warn_unused_result [-Wunused-result]
  fgets(buf, 100, fp);    /* read a line at a time */
       ^
ar: adding 50 object files to build/temp.linux-x86_64-2.7/libsuperlu_src.a
ar: adding 50 object files to build/temp.linux-x86_64-2.7/libsuperlu_src.a
ar: adding 50 object files to build/temp.linux-x86_64-2.7/libsuperlu_src.a
ar: adding 25 object files to build/temp.linux-x86_64-2.7/libsuperlu_src.a
building 'arpack_scipy' library
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7/scipy/sparse/linalg/eigen
creating build/temp.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack
creating build/temp.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/ARPACK
creating build/temp.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/ARPACK/SRC
creating build/temp.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL
compile options: '-Iscipy/sparse/linalg/eigen/arpack/ARPACK/SRC -I/usr/lib64/python2.7/site-packages/numpy/core/include -c'
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dseigt.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dseigt.f:124.18:
      integer    i, k, msglvl                                           
                  1
Warning: Unused variable 'i' declared at (1)
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dseigt.f:95:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dseigt.f:95:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dseigt.f:95:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dseigt.f:95:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cgetv0.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cgetv0.f:116.26:
     &   ( ido, bmat, itry, initv, n, j, v, ldv, resid, rnorm,          
                          1
Warning: Unused dummy argument 'itry' at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cgetv0.f:124:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cgetv0.f:124:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dstatn.f
stat.h:8.19:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dstatn.f:24:
      real       t0, t1, t2, t3, t4, t5                                 
                   1
Warning: Unused variable 't0' declared at (1)
stat.h:8.23:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dstatn.f:24:
      real       t0, t1, t2, t3, t4, t5                                 
                       1
Warning: Unused variable 't1' declared at (1)
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dstatn.f:24:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dstatn.f:24:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dstatn.f:24:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dstatn.f:24:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsconv.f
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsconv.f:66:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsconv.f:66:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsconv.f:66:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsconv.f:66:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dstqrb.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dngets.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dngets.f:96.40:
     &                    shiftr, shifti )                              
                                        1
Warning: Unused dummy argument 'shifti' at (1)
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dngets.f:96.32:
     &                    shiftr, shifti )                              
                                1
Warning: Unused dummy argument 'shiftr' at (1)
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dngets.f:103:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dngets.f:103:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dngets.f:103:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dngets.f:103:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnaupd.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnaupd.f:541.24:
         if (nb .le. 0)    nb = 1                                       
                        1
Warning: Nonconforming tab character at (1)
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnaupd.f:542.28:
         if (tol .le. zero)   tol = dlamch ('EpsMach')                  
                            1
Warning: Nonconforming tab character at (1)
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnaupd.f:447.32:
     &           ldh, ldq, levec, mode, msglvl, mxiter, nb,             
                                1
Warning: Unused variable 'levec' declared at (1)
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnaupd.f:415:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnaupd.f:415:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnaupd.f:415:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnaupd.f:415:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sneupd.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sneupd.f:587.17:
            jj = workl(bounds + ncv - j)                                
                 1
Warning: Possible change of value in conversion from REAL(4) to INTEGER(4) at (1)
stat.h:8.19:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sneupd.f:313:
      real       t0, t1, t2, t3, t4, t5                                 
                   1
Warning: Unused variable 't0' declared at (1)
stat.h:8.23:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sneupd.f:313:
      real       t0, t1, t2, t3, t4, t5                                 
                       1
Warning: Unused variable 't1' declared at (1)
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sneupd.f:313:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sneupd.f:313:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sneupd.f:313:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sneupd.f:313:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zsortc.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnconv.f
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnconv.f:73:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnconv.f:73:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnconv.f:73:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnconv.f:73:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cneigh.f
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cneigh.f:108:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cneigh.f:108:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cneigh.f:108:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cneigh.f:108:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sseupd.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sseupd.f:499.17:
            jj = workl(bounds + ncv - j)                                
                 1
Warning: Possible change of value in conversion from REAL(4) to INTEGER(4) at (1)
stat.h:8.19:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sseupd.f:230:
      real       t0, t1, t2, t3, t4, t5                                 
                   1
Warning: Unused variable 't0' declared at (1)
stat.h:8.23:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sseupd.f:230:
      real       t0, t1, t2, t3, t4, t5                                 
                       1
Warning: Unused variable 't1' declared at (1)
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sseupd.f:230:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sseupd.f:230:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sseupd.f:230:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sseupd.f:230:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssortr.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dstats.f
stat.h:8.19:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dstats.f:14:
      real       t0, t1, t2, t3, t4, t5                                 
                   1
Warning: Unused variable 't0' declared at (1)
stat.h:8.23:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dstats.f:14:
      real       t0, t1, t2, t3, t4, t5                                 
                       1
Warning: Unused variable 't1' declared at (1)
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dstats.f:14:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dstats.f:14:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dstats.f:14:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dstats.f:14:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsortc.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnaupd.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnaupd.f:514.24:
         if (nb .le. 0)    nb = 1                                       
                        1
Warning: Nonconforming tab character at (1)
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnaupd.f:515.32:
         if (tol .le. 0.0E+0  )   tol = wslamch('EpsMach')              
                                1
Warning: Nonconforming tab character at (1)
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnaupd.f:518.29:
     &       ishift .ne. 2)    ishift = 1                               
                             1
Warning: Nonconforming tab character at (1)
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnaupd.f:422.32:
     &           ldh, ldq, levec, mode, msglvl, mxiter, nb,             
                                1
Warning: Unused variable 'levec' declared at (1)
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnaupd.f:388:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnaupd.f:388:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnaupd.f:388:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnaupd.f:388:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znapps.f
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znapps.f:143:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znapps.f:143:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znapps.f:143:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znapps.f:143:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sstats.f
stat.h:8.19:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sstats.f:14:
      real       t0, t1, t2, t3, t4, t5                                 
                   1
Warning: Unused variable 't0' declared at (1)
stat.h:8.23:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sstats.f:14:
      real       t0, t1, t2, t3, t4, t5                                 
                       1
Warning: Unused variable 't1' declared at (1)
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sstats.f:14:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sstats.f:14:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sstats.f:14:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sstats.f:14:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znaitr.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znaitr.f:209.33:
     &   (ido, bmat, n, k, np, nb, resid, rnorm, v, ldv, h, ldh,        
                                 1
Warning: Unused dummy argument 'nb' at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dseupd.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dseupd.f:499.17:
            jj = workl(bounds + ncv - j)                                
                 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
stat.h:8.19:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dseupd.f:230:
      real       t0, t1, t2, t3, t4, t5                                 
                   1
Warning: Unused variable 't0' declared at (1)
stat.h:8.23:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dseupd.f:230:
      real       t0, t1, t2, t3, t4, t5                                 
                       1
Warning: Unused variable 't1' declared at (1)
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dseupd.f:230:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dseupd.f:230:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dseupd.f:230:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dseupd.f:230:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssapps.f
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssapps.f:139:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssapps.f:139:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssapps.f:139:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssapps.f:139:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsapps.f
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsapps.f:139:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsapps.f:139:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsapps.f:139:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsapps.f:139:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsortr.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sstqrb.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snaitr.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snaitr.f:210.33:
     &   (ido, bmat, n, k, np, nb, resid, rnorm, v, ldv, h, ldh,        
                                 1
Warning: Unused dummy argument 'nb' at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnapps.f
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnapps.f:143:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnapps.f:143:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnapps.f:143:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnapps.f:143:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zgetv0.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zgetv0.f:116.26:
     &   ( ido, bmat, itry, initv, n, j, v, ldv, resid, rnorm,          
                          1
Warning: Unused dummy argument 'itry' at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zgetv0.f:124:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zgetv0.f:124:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znaup2.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znaup2.f:322.5:
   10 continue                                                          
     1
Warning: Label 10 at (1) defined but not used
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znaup2.f:169.63:
     &   ( ido, bmat, n, which, nev, np, tol, resid, mode, iupd,        
                                                               1
Warning: Unused dummy argument 'iupd' at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znaup2.f:178:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znaup2.f:178:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsgets.f
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsgets.f:100:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsgets.f:100:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsgets.f:100:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsgets.f:100:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/csortc.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssaitr.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sstatn.f
stat.h:8.19:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sstatn.f:24:
      real       t0, t1, t2, t3, t4, t5                                 
                   1
Warning: Unused variable 't0' declared at (1)
stat.h:8.23:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sstatn.f:24:
      real       t0, t1, t2, t3, t4, t5                                 
                       1
Warning: Unused variable 't1' declared at (1)
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sstatn.f:24:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sstatn.f:24:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sstatn.f:24:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sstatn.f:24:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssaup2.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssaup2.f:809.5:
  130    continue                                                       
     1
Warning: Label 130 at (1) defined but not used
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssaup2.f:324.5:
   10 continue                                                          
     1
Warning: Label 10 at (1) defined but not used
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssaup2.f:180.63:
     &   ( ido, bmat, n, which, nev, np, tol, resid, mode, iupd,        
                                                               1
Warning: Unused dummy argument 'iupd' at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssaup2.f:189:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssaup2.f:189:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dneupd.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dneupd.f:587.17:
            jj = workl(bounds + ncv - j)                                
                 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
stat.h:8.19:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dneupd.f:313:
      real       t0, t1, t2, t3, t4, t5                                 
                   1
Warning: Unused variable 't0' declared at (1)
stat.h:8.23:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dneupd.f:313:
      real       t0, t1, t2, t3, t4, t5                                 
                       1
Warning: Unused variable 't1' declared at (1)
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dneupd.f:313:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dneupd.f:313:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dneupd.f:313:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dneupd.f:313:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnapps.f
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnapps.f:152:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnapps.f:152:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnapps.f:152:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnapps.f:152:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sgetv0.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sgetv0.f:120.26:
     &   ( ido, bmat, itry, initv, n, j, v, ldv, resid, rnorm,          
                          1
Warning: Unused dummy argument 'itry' at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sgetv0.f:128:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sgetv0.f:128:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zstatn.f
stat.h:8.19:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zstatn.f:16:
      real       t0, t1, t2, t3, t4, t5                                 
                   1
Warning: Unused variable 't0' declared at (1)
stat.h:8.23:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zstatn.f:16:
      real       t0, t1, t2, t3, t4, t5                                 
                       1
Warning: Unused variable 't1' declared at (1)
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zstatn.f:16:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zstatn.f:16:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zstatn.f:16:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zstatn.f:16:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsesrt.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znaupd.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znaupd.f:514.24:
         if (nb .le. 0)    nb = 1                                       
                        1
Warning: Nonconforming tab character at (1)
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znaupd.f:515.32:
         if (tol .le. 0.0D+0  )   tol = dlamch ('EpsMach')              
                                1
Warning: Nonconforming tab character at (1)
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znaupd.f:518.29:
     &       ishift .ne. 2)    ishift = 1                               
                             1
Warning: Nonconforming tab character at (1)
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znaupd.f:422.32:
     &           ldh, ldq, levec, mode, msglvl, mxiter, nb,             
                                1
Warning: Unused variable 'levec' declared at (1)
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znaupd.f:388:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znaupd.f:388:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znaupd.f:388:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/znaupd.f:388:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnaitr.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnaitr.f:210.33:
     &   (ido, bmat, n, k, np, nb, resid, rnorm, v, ldv, h, ldh,        
                                 1
Warning: Unused dummy argument 'nb' at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssgets.f
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssgets.f:100:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssgets.f:100:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssgets.f:100:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssgets.f:100:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsaupd.f
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsaupd.f:417:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsaupd.f:417:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsaupd.f:417:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsaupd.f:417:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snaup2.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snaup2.f:316.5:
   10 continue                                                          
     1
Warning: Label 10 at (1) defined but not used
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snaup2.f:175.63:
     &   ( ido, bmat, n, which, nev, np, tol, resid, mode, iupd,        
                                                               1
Warning: Unused dummy argument 'iupd' at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snaup2.f:184:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snaup2.f:184:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssortc.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssesrt.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zneigh.f
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zneigh.f:108:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zneigh.f:108:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zneigh.f:108:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zneigh.f:108:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsaitr.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cstatn.f
stat.h:8.19:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cstatn.f:16:
      real       t0, t1, t2, t3, t4, t5                                 
                   1
Warning: Unused variable 't0' declared at (1)
stat.h:8.23:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cstatn.f:16:
      real       t0, t1, t2, t3, t4, t5                                 
                       1
Warning: Unused variable 't1' declared at (1)
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cstatn.f:16:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cstatn.f:16:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cstatn.f:16:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cstatn.f:16:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cneupd.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cneupd.f:520.17:
            jj = workl(bounds + ncv - j)                                
                 1
Warning: Possible change of value in conversion from COMPLEX(4) to INTEGER(4) at (1)
stat.h:8.19:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cneupd.f:260:
      real       t0, t1, t2, t3, t4, t5                                 
                   1
Warning: Unused variable 't0' declared at (1)
stat.h:8.23:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cneupd.f:260:
      real       t0, t1, t2, t3, t4, t5                                 
                       1
Warning: Unused variable 't1' declared at (1)
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cneupd.f:260:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cneupd.f:260:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cneupd.f:260:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cneupd.f:260:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snaupd.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snaupd.f:541.24:
         if (nb .le. 0)    nb = 1                                       
                        1
Warning: Nonconforming tab character at (1)
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snaupd.f:542.28:
         if (tol .le. zero)   tol = wslamch('EpsMach')                  
                            1
Warning: Nonconforming tab character at (1)
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snaupd.f:447.32:
     &           ldh, ldq, levec, mode, msglvl, mxiter, nb,             
                                1
Warning: Unused variable 'levec' declared at (1)
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snaupd.f:415:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snaupd.f:415:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snaupd.f:415:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snaupd.f:415:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sseigt.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sseigt.f:124.18:
      integer    i, k, msglvl                                           
                  1
Warning: Unused variable 'i' declared at (1)
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sseigt.f:95:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sseigt.f:95:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sseigt.f:95:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sseigt.f:95:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zneupd.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zneupd.f:520.17:
            jj = workl(bounds + ncv - j)                                
                 1
Warning: Possible change of value in conversion from COMPLEX(8) to INTEGER(4) at (1)
stat.h:8.19:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zneupd.f:260:
      real       t0, t1, t2, t3, t4, t5                                 
                   1
Warning: Unused variable 't0' declared at (1)
stat.h:8.23:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zneupd.f:260:
      real       t0, t1, t2, t3, t4, t5                                 
                       1
Warning: Unused variable 't1' declared at (1)
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zneupd.f:260:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zneupd.f:260:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zneupd.f:260:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zneupd.f:260:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snapps.f
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snapps.f:152:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snapps.f:152:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snapps.f:152:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snapps.f:152:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssaupd.f
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssaupd.f:417:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssaupd.f:417:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssaupd.f:417:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssaupd.f:417:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsaup2.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsaup2.f:810.5:
  130    continue                                                       
     1
Warning: Label 130 at (1) defined but not used
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsaup2.f:324.5:
   10 continue                                                          
     1
Warning: Label 10 at (1) defined but not used
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsaup2.f:180.63:
     &   ( ido, bmat, n, which, nev, np, tol, resid, mode, iupd,        
                                                               1
Warning: Unused dummy argument 'iupd' at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsaup2.f:189:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dsaup2.f:189:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cngets.f
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cngets.f:95:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cngets.f:95:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cngets.f:95:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cngets.f:95:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnaup2.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnaup2.f:316.5:
   10 continue                                                          
     1
Warning: Label 10 at (1) defined but not used
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnaup2.f:175.63:
     &   ( ido, bmat, n, which, nev, np, tol, resid, mode, iupd,        
                                                               1
Warning: Unused dummy argument 'iupd' at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnaup2.f:184:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dnaup2.f:184:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sngets.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sngets.f:96.40:
     &                    shiftr, shifti )                              
                                        1
Warning: Unused dummy argument 'shifti' at (1)
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sngets.f:96.32:
     &                    shiftr, shifti )                              
                                1
Warning: Unused dummy argument 'shiftr' at (1)
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sngets.f:103:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sngets.f:103:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sngets.f:103:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sngets.f:103:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnaup2.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnaup2.f:322.5:
   10 continue                                                          
     1
Warning: Label 10 at (1) defined but not used
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnaup2.f:169.63:
     &   ( ido, bmat, n, which, nev, np, tol, resid, mode, iupd,        
                                                               1
Warning: Unused dummy argument 'iupd' at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnaup2.f:178:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnaup2.f:178:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zngets.f
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zngets.f:95:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zngets.f:95:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zngets.f:95:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/zngets.f:95:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snconv.f
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snconv.f:73:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snconv.f:73:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snconv.f:73:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/snconv.f:73:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sneigh.f
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sneigh.f:108:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sneigh.f:108:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sneigh.f:108:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/sneigh.f:108:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dneigh.f
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dneigh.f:108:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dneigh.f:108:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dneigh.f:108:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dneigh.f:108:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dgetv0.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dgetv0.f:120.26:
     &   ( ido, bmat, itry, initv, n, j, v, ldv, resid, rnorm,          
                          1
Warning: Unused dummy argument 'itry' at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dgetv0.f:128:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/dgetv0.f:128:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnaitr.f
scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/cnaitr.f:209.33:
     &   (ido, bmat, n, k, np, nb, resid, rnorm, v, ldv, h, ldh,        
                                 1
Warning: Unused dummy argument 'nb' at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssconv.f
stat.h:8.27:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssconv.f:66:
      real       t0, t1, t2, t3, t4, t5                                 
                           1
Warning: Unused variable 't2' declared at (1)
stat.h:8.31:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssconv.f:66:
      real       t0, t1, t2, t3, t4, t5                                 
                               1
Warning: Unused variable 't3' declared at (1)
stat.h:8.35:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssconv.f:66:
      real       t0, t1, t2, t3, t4, t5                                 
                                   1
Warning: Unused variable 't4' declared at (1)
stat.h:8.39:
    Included at scipy/sparse/linalg/eigen/arpack/ARPACK/SRC/ssconv.f:66:
      real       t0, t1, t2, t3, t4, t5                                 
                                       1
Warning: Unused variable 't5' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/dvout.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/dmout.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/icnteq.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/cmout.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/zvout.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/zmout.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/svout.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/cvout.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/ivout.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/iset.f
scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/iset.f:6.43:
      subroutine iset (n, value, array, inc)                            
                                           1
Warning: Unused dummy argument 'inc' at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/iswap.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/smout.f
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/second_NONE.f
scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/second_NONE.f:17.27:
      REAL               T1                                             
                           1
Warning: Unused variable 't1' declared at (1)
scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/second_NONE.f:20.36:
      REAL               TARRAY( 2 )                                    
                                    1
Warning: Unused variable 'tarray' declared at (1)
gfortran:f77: scipy/sparse/linalg/eigen/arpack/ARPACK/UTIL/icopy.f
gfortran:f77: /builddir/build/BUILD/scipy-0.18.0/scipy/_build_utils/src/wrap_dummy_g77_abi.f
gfortran:f77: /builddir/build/BUILD/scipy-0.18.0/scipy/_build_utils/src/wrap_dummy_accelerate.f
ar: adding 50 object files to build/temp.linux-x86_64-2.7/libarpack_scipy.a
ar: adding 32 object files to build/temp.linux-x86_64-2.7/libarpack_scipy.a
building 'sc_c_misc' library
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/scipy/special
creating build/temp.linux-x86_64-2.7/scipy/special/c_misc
compile options: '-I/builddir/build/BUILD/scipy-0.18.0/scipy/special -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -I/builddir/build/BUILD/scipy-0.18.0/scipy/special/c_misc -I/usr/lib64/python2.7/site-packages/numpy/core/include -c'
gcc: scipy/special/c_misc/gammasgn.c
gcc: scipy/special/c_misc/besselpoly.c
gcc: scipy/special/c_misc/struve.c
gcc: scipy/special/c_misc/poch.c
gcc: scipy/special/c_misc/gammaincinv.c
gcc: scipy/special/c_misc/fsolve.c
ar: adding 6 object files to build/temp.linux-x86_64-2.7/libsc_c_misc.a
building 'sc_cephes' library
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/scipy/special/cephes
compile options: '-I/builddir/build/BUILD/scipy-0.18.0/scipy/special -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -I/builddir/build/BUILD/scipy-0.18.0/scipy/special/c_misc -I/usr/lib64/python2.7/site-packages/numpy/core/include -c'
gcc: scipy/special/cephes/hyp2f1.c
gcc: scipy/special/cephes/gamma.c
gcc: scipy/special/cephes/ellpk.c
gcc: scipy/special/cephes/stdtr.c
gcc: scipy/special/cephes/unity.c
gcc: scipy/special/cephes/exp10.c
gcc: scipy/special/cephes/ndtr.c
gcc: scipy/special/cephes/struve.c
gcc: scipy/special/cephes/nbdtr.c
gcc: scipy/special/cephes/chdtr.c
gcc: scipy/special/cephes/btdtr.c
gcc: scipy/special/cephes/fdtr.c
gcc: scipy/special/cephes/j1.c
gcc: scipy/special/cephes/zeta.c
gcc: scipy/special/cephes/ellpe.c
gcc: scipy/special/cephes/shichi.c
gcc: scipy/special/cephes/incbet.c
gcc: scipy/special/cephes/airy.c
gcc: scipy/special/cephes/ellpj.c
gcc: scipy/special/cephes/i0.c
gcc: scipy/special/cephes/incbi.c
gcc: scipy/special/cephes/bdtr.c
gcc: scipy/special/cephes/zetac.c
gcc: scipy/special/cephes/hyperg.c
gcc: scipy/special/cephes/dawsn.c
gcc: scipy/special/cephes/tandg.c
gcc: scipy/special/cephes/pdtr.c
gcc: scipy/special/cephes/gels.c
gcc: scipy/special/cephes/sincos.c
gcc: scipy/special/cephes/fresnl.c
gcc: scipy/special/cephes/expn.c
gcc: scipy/special/cephes/igam.c
gcc: scipy/special/cephes/kn.c
gcc: scipy/special/cephes/j0.c
gcc: scipy/special/cephes/ellik.c
gcc: scipy/special/cephes/beta.c
gcc: scipy/special/cephes/chbevl.c
gcc: scipy/special/cephes/ndtri.c
gcc: scipy/special/cephes/sici.c
gcc: scipy/special/cephes/cbrt.c
gcc: scipy/special/cephes/scipy_iv.c
gcc: scipy/special/cephes/psi.c
gcc: scipy/special/cephes/gdtr.c
gcc: scipy/special/cephes/k0.c
gcc: scipy/special/cephes/mtherr.c
gcc: scipy/special/cephes/kolmogorov.c
gcc: scipy/special/cephes/const.c
gcc: scipy/special/cephes/k1.c
gcc: scipy/special/cephes/igami.c
gcc: scipy/special/cephes/ellie.c
gcc: scipy/special/cephes/jv.c
gcc: scipy/special/cephes/yn.c
gcc: scipy/special/cephes/sindg.c
gcc: scipy/special/cephes/exp2.c
gcc: scipy/special/cephes/tukey.c
gcc: scipy/special/cephes/spence.c
gcc: scipy/special/cephes/round.c
gcc: scipy/special/cephes/rgamma.c
gcc: scipy/special/cephes/i1.c
ar: adding 50 object files to build/temp.linux-x86_64-2.7/libsc_cephes.a
ar: adding 9 object files to build/temp.linux-x86_64-2.7/libsc_cephes.a
building 'sc_mach' library
using additional config_fc from setup script for fortran compiler: {'noopt': ('scipy/special/setup.py', 1)}
customize Gnu95FCompiler
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/scipy/special/mach
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -c'
gfortran:f77: scipy/special/mach/d1mach.f
gfortran:f77: scipy/special/mach/i1mach.f
gfortran:f77: scipy/special/mach/xerror.f
scipy/special/mach/xerror.f:1.37:
      SUBROUTINE XERROR(MESS,NMESS,L1,L2)                               
                                     1
Warning: Unused dummy argument 'l1' at (1)
scipy/special/mach/xerror.f:1.40:
      SUBROUTINE XERROR(MESS,NMESS,L1,L2)                               
                                        1
Warning: Unused dummy argument 'l2' at (1)
ar: adding 3 object files to build/temp.linux-x86_64-2.7/libsc_mach.a
building 'sc_amos' library
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7/scipy/special/amos
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -c'
gfortran:f77: scipy/special/amos/zseri.f
gfortran:f77: scipy/special/amos/zuchk.f
gfortran:f77: scipy/special/amos/zmlt.f
gfortran:f77: scipy/special/amos/dgamln.f
scipy/special/amos/dgamln.f: In function 'dgamln':
scipy/special/amos/dgamln.f:1:0: warning: '__result_dgamln' may be used uninitialized in this function [-Wmaybe-uninitialized]
       DOUBLE PRECISION FUNCTION DGAMLN(Z,IERR)
 ^
scipy/special/amos/dgamln.f:155:0: warning: 'nz' may be used uninitialized in this function [-Wmaybe-uninitialized]
       ZINC = ZMIN - FLOAT(NZ)
 ^
gfortran:f77: scipy/special/amos/zuni2.f
gfortran:f77: scipy/special/amos/zdiv.f
gfortran:f77: scipy/special/amos/zrati.f
gfortran:f77: scipy/special/amos/zbesk.f
gfortran:f77: scipy/special/amos/zwrsk.f
gfortran:f77: scipy/special/amos/zunhj.f
gfortran:f77: scipy/special/amos/zbesi.f
gfortran:f77: scipy/special/amos/dsclmr.f
gfortran:f77: scipy/special/amos/zsqrt.f
gfortran:f77: scipy/special/amos/zkscl.f
gfortran:f77: scipy/special/amos/zs1s2.f
gfortran:f77: scipy/special/amos/zbiry.f
gfortran:f77: scipy/special/amos/zuoik.f
gfortran:f77: scipy/special/amos/zacai.f
gfortran:f77: scipy/special/amos/zunik.f
gfortran:f77: scipy/special/amos/zasyi.f
gfortran:f77: scipy/special/amos/zbesh.f
gfortran:f77: scipy/special/amos/zbknu.f
scipy/special/amos/zbknu.f: In function 'zbknu':
scipy/special/amos/zbknu.f:426:0: warning: 'cki' may be used uninitialized in this function [-Wmaybe-uninitialized]
         S2I = CKI*P2R + CKR*P2I + S1I
 ^
scipy/special/amos/zbknu.f:425:0: warning: 'ckr' may be used uninitialized in this function [-Wmaybe-uninitialized]
         S2R = CKR*P2R - CKI*P2I + S1R
 ^
scipy/special/amos/zbknu.f:230:0: warning: 'dnu2' may be used uninitialized in this function [-Wmaybe-uninitialized]
       FHS = DABS(0.25D0-DNU2)
 ^
gfortran:f77: scipy/special/amos/zbuni.f
gfortran:f77: scipy/special/amos/zacon.f
scipy/special/amos/zacon.f: In function 'zacon':
scipy/special/amos/zacon.f:166:0: warning: 'sc2r' may be used uninitialized in this function [-Wmaybe-uninitialized]
         S1R = SC1R*CSSR(KFLAG)
 ^
scipy/special/amos/zacon.f:167:0: warning: 'sc2i' may be used uninitialized in this function [-Wmaybe-uninitialized]
         S1I = SC1I*CSSR(KFLAG)
 ^
gfortran:f77: scipy/special/amos/fdump.f
gfortran:f77: scipy/special/amos/zbunk.f
gfortran:f77: scipy/special/amos/zuni1.f
gfortran:f77: scipy/special/amos/zbesy.f
scipy/special/amos/zbesy.f:183.13:
      R1M5 = D1MACH(5)                                                  
             1
Warning: Possible change of value in conversion from REAL(8) to REAL(4) at (1)
gfortran:f77: scipy/special/amos/zabs.f
gfortran:f77: scipy/special/amos/zbinu.f
gfortran:f77: scipy/special/amos/zbesj.f
gfortran:f77: scipy/special/amos/zexp.f
gfortran:f77: scipy/special/amos/zunk2.f
scipy/special/amos/zunk2.f: In function 'zunk2':
scipy/special/amos/zunk2.f:30:0: warning: 'iflag' may be used uninitialized in this function [-Wmaybe-uninitialized]
       INTEGER I, IB, IFLAG, IFN, IL, IN, INU, IUF, K, KDFLG, KFLAG, KK,
 ^
scipy/special/amos/zunk2.f:253:0: warning: 'kflag' may be used uninitialized in this function [-Wmaybe-uninitialized]
       C1R = CSRR(KFLAG)
 ^
gfortran:f77: scipy/special/amos/zshch.f
gfortran:f77: scipy/special/amos/zmlri.f
gfortran:f77: scipy/special/amos/zairy.f
gfortran:f77: scipy/special/amos/zlog.f
gfortran:f77: scipy/special/amos/zunk1.f
scipy/special/amos/zunk1.f: In function 'zunk1':
scipy/special/amos/zunk1.f:23:0: warning: 'iflag' may be used uninitialized in this function [-Wmaybe-uninitialized]
       INTEGER I, IB, IFLAG, IFN, IL, INIT, INU, IUF, K, KDFLG, KFLAG,
 ^
scipy/special/amos/zunk1.f:198:0: warning: 'kflag' may be used uninitialized in this function [-Wmaybe-uninitialized]
       C1R = CSRR(KFLAG)
 ^
ar: adding 38 object files to build/temp.linux-x86_64-2.7/libsc_amos.a
building 'sc_cdf' library
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7/scipy/special/cdflib
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -c'
gfortran:f77: scipy/special/cdflib/bgrat.f
gfortran:f77: scipy/special/cdflib/cumgam.f
gfortran:f77: scipy/special/cdflib/spmpar.f
gfortran:f77: scipy/special/cdflib/cdfbet.f
gfortran:f77: scipy/special/cdflib/cumf.f
gfortran:f77: scipy/special/cdflib/dinvr.f
scipy/special/cdflib/dinvr.f:99.72:
      ASSIGN 10 TO i99999                                               
                                                                        1
Warning: Deleted feature: ASSIGN statement at (1)
scipy/special/cdflib/dinvr.f:105.72:
      ASSIGN 20 TO i99999                                               
                                                                        1
Warning: Deleted feature: ASSIGN statement at (1)
scipy/special/cdflib/dinvr.f:142.72:
      ASSIGN 90 TO i99999                                               
                                                                        1
Warning: Deleted feature: ASSIGN statement at (1)
scipy/special/cdflib/dinvr.f:167.72:
      ASSIGN 130 TO i99999                                              
                                                                        1
Warning: Deleted feature: ASSIGN statement at (1)
scipy/special/cdflib/dinvr.f:202.72:
      ASSIGN 200 TO i99999                                              
                                                                        1
Warning: Deleted feature: ASSIGN statement at (1)
scipy/special/cdflib/dinvr.f:237.72:
      ASSIGN 270 TO i99999                                              
                                                                        1
Warning: Deleted feature: ASSIGN statement at (1)
scipy/special/cdflib/dinvr.f:346.72:
      GO TO i99999                                                      
                                                                        1
Warning: Deleted feature: Assigned GOTO statement at (1)
scipy/special/cdflib/dinvr.f:240.5:
  270 CONTINUE                                                          
     1
Warning: Label 270 at (1) defined but not used
scipy/special/cdflib/dinvr.f:205.5:
  200 yy = fx                                                           
     1
Warning: Label 200 at (1) defined but not used
scipy/special/cdflib/dinvr.f:170.5:
  130 yy = fx                                                           
     1
Warning: Label 130 at (1) defined but not used
scipy/special/cdflib/dinvr.f:145.5:
   90 yy = fx                                                           
     1
Warning: Label 90 at (1) defined but not used
scipy/special/cdflib/dinvr.f:108.5:
   20 fbig = fx                                                         
     1
Warning: Label 20 at (1) defined but not used
scipy/special/cdflib/dinvr.f:102.5:
   10 fsmall = fx                                                       
     1
Warning: Label 10 at (1) defined but not used
gfortran:f77: scipy/special/cdflib/gam1.f
gfortran:f77: scipy/special/cdflib/cdff.f
gfortran:f77: scipy/special/cdflib/gsumln.f
gfortran:f77: scipy/special/cdflib/alngam.f
gfortran:f77: scipy/special/cdflib/ipmpar.f
gfortran:f77: scipy/special/cdflib/dinvnr.f
gfortran:f77: scipy/special/cdflib/rcomp.f
gfortran:f77: scipy/special/cdflib/cdfchi.f
scipy/special/cdflib/cdfchi.f: In function 'cdfchi':
scipy/special/cdflib/cdfchi.f:177:0: warning: 'porq' may be used uninitialized in this function [-Wmaybe-uninitialized]
           IF (porq.GT.1.5D0) THEN
 ^
gfortran:f77: scipy/special/cdflib/grat1.f
gfortran:f77: scipy/special/cdflib/bcorr.f
gfortran:f77: scipy/special/cdflib/cumfnc.f
scipy/special/cdflib/cumfnc.f:116.14:
      icent = xnonc                                                     
              1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
gfortran:f77: scipy/special/cdflib/stvaln.f
gfortran:f77: scipy/special/cdflib/erf.f
scipy/special/cdflib/erf.f:1.6:
      DOUBLE PRECISION FUNCTION erf(x)                                  
      1
Warning: 'erf' declared at (1) is also the name of an intrinsic.  It can only be called via an explicit interface or if declared EXTERNAL.
gfortran:f77: scipy/special/cdflib/cumtnc.f
gfortran:f77: scipy/special/cdflib/fpser.f
gfortran:f77: scipy/special/cdflib/psi_fort.f
gfortran:f77: scipy/special/cdflib/bpser.f
scipy/special/cdflib/bpser.f:57.10:
      m = b0 - 1.0D0                                                    
          1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
gfortran:f77: scipy/special/cdflib/devlpl.f
gfortran:f77: scipy/special/cdflib/cdffnc.f
gfortran:f77: scipy/special/cdflib/cumbin.f
gfortran:f77: scipy/special/cdflib/rlog.f
gfortran:f77: scipy/special/cdflib/betaln.f
scipy/special/cdflib/betaln.f:55.10:
      n = a - 1.0D0                                                     
          1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/special/cdflib/betaln.f:69.10:
   60 n = b - 1.0D0                                                     
          1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/special/cdflib/betaln.f:80.10:
   80 n = a - 1.0D0                                                     
          1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
gfortran:f77: scipy/special/cdflib/bratio.f
scipy/special/cdflib/bratio.f:166.10:
  160 n = b0                                                            
          1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
gfortran:f77: scipy/special/cdflib/cdft.f
gfortran:f77: scipy/special/cdflib/alnrel.f
gfortran:f77: scipy/special/cdflib/rexp.f
gfortran:f77: scipy/special/cdflib/cdftnc.f
gfortran:f77: scipy/special/cdflib/cumbet.f
gfortran:f77: scipy/special/cdflib/bup.f
scipy/special/cdflib/bup.f:32.11:
      mu = abs(exparg(1))                                               
           1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/special/cdflib/bup.f:33.10:
      k = exparg(0)                                                     
          1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/special/cdflib/bup.f:55.22:
      IF (r.LT.t) k = r                                                 
                      1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
gfortran:f77: scipy/special/cdflib/cdfbin.f
gfortran:f77: scipy/special/cdflib/exparg.f
gfortran:f77: scipy/special/cdflib/cumchn.f
gfortran:f77: scipy/special/cdflib/cumt.f
gfortran:f77: scipy/special/cdflib/gaminv.f
scipy/special/cdflib/gaminv.f: In function 'gaminv':
scipy/special/cdflib/gaminv.f:168:0: warning: 'b' may be used uninitialized in this function [-Wmaybe-uninitialized]
       IF (b.GT.bmin(iop)) GO TO 220
 ^
gfortran:f77: scipy/special/cdflib/brcmp1.f
scipy/special/cdflib/brcmp1.f:77.10:
      n = b0 - 1.0D0                                                    
          1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
gfortran:f77: scipy/special/cdflib/cumnbn.f
gfortran:f77: scipy/special/cdflib/cdfchn.f
gfortran:f77: scipy/special/cdflib/cumpoi.f
gfortran:f77: scipy/special/cdflib/dt1.f
gfortran:f77: scipy/special/cdflib/brcomp.f
scipy/special/cdflib/brcomp.f:78.10:
      n = b0 - 1.0D0                                                    
          1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
gfortran:f77: scipy/special/cdflib/gamln.f
scipy/special/cdflib/gamln.f:44.10:
      n = a - 1.25D0                                                    
          1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
gfortran:f77: scipy/special/cdflib/apser.f
gfortran:f77: scipy/special/cdflib/cdfnbn.f
gfortran:f77: scipy/special/cdflib/cdfnor.f
gfortran:f77: scipy/special/cdflib/bfrac.f
gfortran:f77: scipy/special/cdflib/cumchi.f
gfortran:f77: scipy/special/cdflib/gamln1.f
gfortran:f77: scipy/special/cdflib/basym.f
gfortran:f77: scipy/special/cdflib/cdfgam.f
gfortran:f77: scipy/special/cdflib/cumnor.f
gfortran:f77: scipy/special/cdflib/gamma_fort.f
scipy/special/cdflib/gamma_fort.f:1.6:
      DOUBLE PRECISION FUNCTION gamma(a)                                
      1
Warning: 'gamma' declared at (1) is also the name of an intrinsic.  It can only be called via an explicit interface or if declared EXTERNAL.
scipy/special/cdflib/gamma_fort.f:124.10:
      n = x                                                             
          1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/special/cdflib/gamma_fort.f: In function 'gamma':
scipy/special/cdflib/gamma_fort.f:149:0: warning: 's' may be used uninitialized in this function [-Wmaybe-uninitialized]
       IF (a.LT.0.0D0) gamma = (1.0D0/ (gamma*s))/x
 ^
gfortran:f77: scipy/special/cdflib/esum.f
gfortran:f77: scipy/special/cdflib/dzror.f
scipy/special/cdflib/dzror.f:92.72:
      ASSIGN 10 TO i99999                                               
                                                                        1
Warning: Deleted feature: ASSIGN statement at (1)
scipy/special/cdflib/dzror.f:100.72:
      ASSIGN 20 TO i99999                                               
                                                                        1
Warning: Deleted feature: ASSIGN statement at (1)
scipy/special/cdflib/dzror.f:181.72:
      ASSIGN 200 TO i99999                                              
                                                                        1
Warning: Deleted feature: ASSIGN statement at (1)
scipy/special/cdflib/dzror.f:281.72:
      GO TO i99999                                                      
                                                                        1
Warning: Deleted feature: Assigned GOTO statement at (1)
scipy/special/cdflib/dzror.f:184.5:
  200 fb = fx                                                           
     1
Warning: Label 200 at (1) defined but not used
scipy/special/cdflib/dzror.f:106.5:
   20 IF (.NOT. (fb.LT.0.0D0)) GO TO 40                                 
     1
Warning: Label 20 at (1) defined but not used
scipy/special/cdflib/dzror.f:95.5:
   10 fb = fx                                                           
     1
Warning: Label 10 at (1) defined but not used
gfortran:f77: scipy/special/cdflib/cdfpoi.f
gfortran:f77: scipy/special/cdflib/algdiv.f
gfortran:f77: scipy/special/cdflib/gratio.f
gfortran:f77: scipy/special/cdflib/erfc1.f
gfortran:f77: scipy/special/cdflib/rlog1.f
ar: adding 50 object files to build/temp.linux-x86_64-2.7/libsc_cdf.a
ar: adding 14 object files to build/temp.linux-x86_64-2.7/libsc_cdf.a
building 'sc_specfun' library
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7/scipy/special/specfun
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -c'
gfortran:f77: scipy/special/specfun/specfun.f
scipy/special/specfun/specfun.f:4928.17:
              M1=X-1                                                    
                 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/special/specfun/specfun.f:1218.14:
           NN=N1-(N1-N0)/(1.0D0-F0/F1)                                  
              1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/special/specfun/specfun.f:1257.14:
           NN=N1-(N1-N0)/(1.0D0-F0/F1)                                  
              1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/special/specfun/specfun.f:1581.13:
           N=XA                                                         
             1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/special/specfun/specfun.f:1586.13:
           N=XA-.5                                                      
             1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/special/specfun/specfun.f:2568.16:
           ISGN=1.0D0                                                   
                1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/special/specfun/specfun.f:3401.12:
        LB0=0.0D0                                                       
            1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/special/specfun/specfun.f:8220.11:
        ID=15-ABS(D1-D2)                                                
           1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/special/specfun/specfun.f:9405.20:
        IF (IL1) NM=ABS(A)                                              
                    1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/special/specfun/specfun.f:9406.20:
        IF (IL2) NM=ABS(AA)                                             
                    1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/special/specfun/specfun.f:9428.14:
20         ID=ABS(LOG10(RA))                                            
              1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/special/specfun/specfun.f:9899.10:
        N=ABS(B-1)                                                      
          1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/special/specfun/specfun.f:9939.11:
        ID=15-ABS(DA1-DA2)                                              
           1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/special/specfun/specfun.f:9974.12:
        ID1=15-ABS(DB1-DB2)                                             
            1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/special/specfun/specfun.f:9985.12:
        ID2=0.0D0                                                       
            1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/special/specfun/specfun.f:8800.2:
 6         FNAN=DNAN()                                                  
  1
scipy/special/specfun/specfun.f:8760.72:
           IF (JM+1.GT.251) GOTO 6                                      
                                                                        2
Warning: Legacy Extension: Label at (1) is not in the same block as the GOTO statement at (2)
scipy/special/specfun/specfun.f:5622.34:
        DOUBLE COMPLEX Z, CEI, IMF                                      
                                  1
Warning: Unused variable 'imf' declared at (1)
scipy/special/specfun/specfun.f: In function 'fcoef':
scipy/special/specfun/specfun.f:8774:0: warning: 'jm' may be used uninitialized in this function [-Wmaybe-uninitialized]
                  FC(JM) = 1.0D0
 ^
scipy/special/specfun/specfun.f: In function 'cik01':
scipy/special/specfun/specfun.f:12816:0: warning: 'IMAGPART_EXPR <cw>' may be used uninitialized in this function [-Wmaybe-uninitialized]
               IF (CDABS((CS-CW)/CS).LT.1.0D-15) GO TO 45
 ^
scipy/special/specfun/specfun.f:12816:0: warning: 'REALPART_EXPR <cw>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f: In function 'airyb':
scipy/special/specfun/specfun.f:7554:0: warning: 'km2' may be used uninitialized in this function [-Wmaybe-uninitialized]
               KM2=KM
 ^
scipy/special/specfun/specfun.f: In function 'cjynb':
scipy/special/specfun/specfun.f:6857:0: warning: 'IMAGPART_EXPR <cf>' may be used uninitialized in this function [-Wmaybe-uninitialized]
               CS0=(CBS+CF)/CDCOS(Z)
 ^
scipy/special/specfun/specfun.f:6857:0: warning: 'REALPART_EXPR <cf>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f: In function 'ciknb':
scipy/special/specfun/specfun.f:12466:0: warning: 'IMAGPART_EXPR <cf>' may be used uninitialized in this function [-Wmaybe-uninitialized]
         CS0=CDEXP(Z1)/(CBS-CF)
 ^
scipy/special/specfun/specfun.f:12466:0: warning: 'REALPART_EXPR <cf>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f: In function 'csphjy':
scipy/special/specfun/specfun.f:1181:0: warning: 'IMAGPART_EXPR <cs>' may be used uninitialized in this function [-Wmaybe-uninitialized]
 20            CSJ(K)=CS*CSJ(K)
 ^
scipy/special/specfun/specfun.f:1181:0: warning: 'REALPART_EXPR <cs>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f: In function 'cjylv':
scipy/special/specfun/specfun.f:1471:0: warning: 'IMAGPART_EXPR <cfy>' may be used uninitialized in this function [-Wmaybe-uninitialized]
         CDYV=-V/Z*CBYV+CFY
 ^
scipy/special/specfun/specfun.f:1471:0: warning: 'REALPART_EXPR <cfy>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f: In function 'cisia':
scipy/special/specfun/specfun.f:2093:0: warning: 'bj[0]' may be used uninitialized in this function [-Wmaybe-uninitialized]
            XS=BJ(1)
 ^
scipy/special/specfun/specfun.f: In function 'clqn':
scipy/special/specfun/specfun.f:2260:0: warning: 'IMAGPART_EXPR <cqf0>' may be used uninitialized in this function [-Wmaybe-uninitialized]
            CQF0=CQ0
 ^
scipy/special/specfun/specfun.f:2260:0: warning: 'REALPART_EXPR <cqf0>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f: In function 'airyzo':
scipy/special/specfun/specfun.f:2383:0: warning: 'u1' may be used uninitialized in this function [-Wmaybe-uninitialized]
      &            + U1*(-108056875D0/6967296D0)))))
 ^
scipy/special/specfun/specfun.f:2366:0: warning: 'u' may be used uninitialized in this function [-Wmaybe-uninitialized]
               U=3.0D0*PI*(4.0D0*I-1)/8.0D0
 ^
scipy/special/specfun/specfun.f: In function 'cjyva':
scipy/special/specfun/specfun.f:3532:0: warning: 'IMAGPART_EXPR <cs>' may be used uninitialized in this function [-Wmaybe-uninitialized]
 80            CBJ(K)=CS*CBJ(K)
 ^
scipy/special/specfun/specfun.f:3532:0: warning: 'REALPART_EXPR <cs>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f:3511:0: warning: 'IMAGPART_EXPR <cf>' may be used uninitialized in this function [-Wmaybe-uninitialized]
               CF=2.0D0*(K+V0-1.0D0)/Z*CF1-CF0
 ^
scipy/special/specfun/specfun.f:3511:0: warning: 'REALPART_EXPR <cf>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f:3468:0: warning: 'IMAGPART_EXPR <cju0>' may be used uninitialized in this function [-Wmaybe-uninitialized]
               CYV0=(CJV0*DCOS(PV0)-CJU0)/DSIN(PV0)
 ^
scipy/special/specfun/specfun.f:3468:0: warning: 'REALPART_EXPR <cju0>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f:3447:0: warning: 'IMAGPART_EXPR <cyv1>' may be used uninitialized in this function [-Wmaybe-uninitialized]
                  CYV1=CA0*(CPZ*CSK+CQZ*CCK)
 ^
scipy/special/specfun/specfun.f:3447:0: warning: 'REALPART_EXPR <cyv1>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f:3444:0: warning: 'IMAGPART_EXPR <cyv0>' may be used uninitialized in this function [-Wmaybe-uninitialized]
                  CYV0=CA0*(CPZ*CSK+CQZ*CCK)
 ^
scipy/special/specfun/specfun.f:3444:0: warning: 'REALPART_EXPR <cyv0>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f:3547:0: warning: 'cyv0' may be used uninitialized in this function [-Wmaybe-uninitialized]
            YA1=CDABS(CG0)
 ^
scipy/special/specfun/specfun.f:3499:0: warning: 'IMAGPART_EXPR <cjv0>' may be used uninitialized in this function [-Wmaybe-uninitialized]
               CYV0=CYV0/CFAC0+2.0D0*CI*DCOS(PV0)*CJV0
 ^
scipy/special/specfun/specfun.f:3499:0: warning: 'REALPART_EXPR <cjv0>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f:3529:0: warning: 'cjv0' may be used uninitialized in this function [-Wmaybe-uninitialized]
            IF (CDABS(CJV0).GT.CDABS(CJV1)) CS=CJV0/CF
 ^
scipy/special/specfun/specfun.f: In function 'cjyvb':
scipy/special/specfun/specfun.f:3734:0: warning: 'IMAGPART_EXPR <cf>' may be used uninitialized in this function [-Wmaybe-uninitialized]
         CS=CJV0/CF
 ^
scipy/special/specfun/specfun.f:3734:0: warning: 'REALPART_EXPR <cf>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f:3692:0: warning: 'IMAGPART_EXPR <cyv0>' may be used uninitialized in this function [-Wmaybe-uninitialized]
            CYV0=CA0*(CPZ*CSK+CQZ*CCK)
 ^
scipy/special/specfun/specfun.f:3692:0: warning: 'REALPART_EXPR <cyv0>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f: In function 'ciklv':
scipy/special/specfun/specfun.f:5460:0: warning: 'IMAGPART_EXPR <cfk>' may be used uninitialized in this function [-Wmaybe-uninitialized]
         CDKV=-CFK-V/Z*CBKV
 ^
scipy/special/specfun/specfun.f:5460:0: warning: 'REALPART_EXPR <cfk>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f: In function 'hygfx':
scipy/special/specfun/specfun.f:5888:0: warning: 'nm' may be used uninitialized in this function [-Wmaybe-uninitialized]
            IF (L2) NM=INT(ABS(A))
 ^
scipy/special/specfun/specfun.f: In function 'cchg':
scipy/special/specfun/specfun.f:6146:0: warning: 'IMAGPART_EXPR <cy1>' may be used uninitialized in this function [-Wmaybe-uninitialized]
                  CHG=((2.0D0*A-B+Z)*CY1+(B-A)*CY0)/A
 ^
scipy/special/specfun/specfun.f:6146:0: warning: 'REALPART_EXPR <cy1>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f:6146:0: warning: 'IMAGPART_EXPR <cy0>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f:6146:0: warning: 'REALPART_EXPR <cy0>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f:6101:0: warning: 'IMAGPART_EXPR <chw>' may be used uninitialized in this function [-Wmaybe-uninitialized]
                     IF (CDABS((CHG-CHW)/CHG).LT.1.D-15) GO TO 25
 ^
scipy/special/specfun/specfun.f:6101:0: warning: 'REALPART_EXPR <chw>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f: In function 'hygfz':
scipy/special/specfun/specfun.f:6444:0: warning: 'k' may be used uninitialized in this function [-Wmaybe-uninitialized]
         IF (K.GT.150) WRITE(*,160)
 ^
scipy/special/specfun/specfun.f:6378:0: warning: 'IMAGPART_EXPR <zw>' may be used uninitialized in this function [-Wmaybe-uninitialized]
                  IF (CDABS((ZHF-ZW)/ZHF).LE.EPS) GO TO 115
 ^
scipy/special/specfun/specfun.f:6378:0: warning: 'REALPART_EXPR <zw>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f: In function 'cjyna':
scipy/special/specfun/specfun.f:6754:0: warning: 'IMAGPART_EXPR <ch0>' may be used uninitialized in this function [-Wmaybe-uninitialized]
            CBY(LB+1)=(CBJ(LB+1)*CBY0-2.0D0*CP11/(PI*Z))/CBJ(0)
 ^
scipy/special/specfun/specfun.f:6754:0: warning: 'REALPART_EXPR <ch0>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f:6704:0: warning: 'IMAGPART_EXPR <cf>' may be used uninitialized in this function [-Wmaybe-uninitialized]
               CF=2.0D0*(K+1.0D0)/Z*CF1-CF2
 ^
scipy/special/specfun/specfun.f:6704:0: warning: 'REALPART_EXPR <cf>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f: In function 'csphik':
scipy/special/specfun/specfun.f:10311:0: warning: 'IMAGPART_EXPR <cs>' may be used uninitialized in this function [-Wmaybe-uninitialized]
 20            CSI(K)=CS*CSI(K)
 ^
scipy/special/specfun/specfun.f:10311:0: warning: 'REALPART_EXPR <cs>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f:10304:0: warning: 'IMAGPART_EXPR <cf>' may be used uninitialized in this function [-Wmaybe-uninitialized]
               CF=(2.0D0*K+3.0D0)*CF1/Z+CF0
 ^
scipy/special/specfun/specfun.f:10304:0: warning: 'REALPART_EXPR <cf>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f: In function 'cikvb':
scipy/special/specfun/specfun.f:11348:0: warning: 'IMAGPART_EXPR <cf>' may be used uninitialized in this function [-Wmaybe-uninitialized]
         CS=CBI0/CF
 ^
scipy/special/specfun/specfun.f:11348:0: warning: 'REALPART_EXPR <cf>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f: In function 'cikva':
scipy/special/specfun/specfun.f:11509:0: warning: 'IMAGPART_EXPR <cf>' may be used uninitialized in this function [-Wmaybe-uninitialized]
         CS=CBI0/CF
 ^
scipy/special/specfun/specfun.f:11509:0: warning: 'REALPART_EXPR <cf>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f: In function 'clqmn':
scipy/special/specfun/specfun.f:12269:0: warning: 'IMAGPART_EXPR <cqf0>' may be used uninitialized in this function [-Wmaybe-uninitialized]
               CQF0=((2*K+3.0D0)*Z*CQF1-(K+2.0D0)*CQF2)/(K+1.0D0)
 ^
scipy/special/specfun/specfun.f:12269:0: warning: 'REALPART_EXPR <cqf0>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f: In function 'cikna':
scipy/special/specfun/specfun.f:12574:0: warning: 'IMAGPART_EXPR <cf>' may be used uninitialized in this function [-Wmaybe-uninitialized]
         CS=CBI0/CF
 ^
scipy/special/specfun/specfun.f:12574:0: warning: 'REALPART_EXPR <cf>' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/special/specfun/specfun.f: In function 'stvhv':
scipy/special/specfun/specfun.f:13134:0: warning: 'bjv' may be used uninitialized in this function [-Wmaybe-uninitialized]
                  BYV = DCOS(V*PI)*BYV + DSIN(-V*PI)*BJV
 ^
ar: adding 1 object files to build/temp.linux-x86_64-2.7/libsc_specfun.a
building 'statlib' library
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7/scipy/stats
creating build/temp.linux-x86_64-2.7/scipy/stats/statlib
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -c'
gfortran:f77: scipy/stats/statlib/spearman.f
scipy/stats/statlib/spearman.f:12.49:
      double precision zero, one, two, b, x, y, z, u, six,              
                                                 1
Warning: Unused variable 'z' declared at (1)
gfortran:f77: scipy/stats/statlib/ansari.f
gfortran:f77: scipy/stats/statlib/swilk.f
ar: adding 3 object files to build/temp.linux-x86_64-2.7/libstatlib.a
running build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
resetting extension 'scipy.odr.__odrpack' language from 'c' to 'f77'.
extending extension 'scipy.sparse.linalg.dsolve._superlu' defined_macros with [('USE_VENDOR_BLAS', 1)]
customize UnixCCompiler
customize UnixCCompiler using build_ext
customize Gnu95FCompiler
customize Gnu95FCompiler using build_ext
building 'scipy.cluster._vq' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/scipy/cluster
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/cluster/_vq.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/cluster/_vq.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
scipy/cluster/_vq.c: In function '__pyx_fuse_0__pyx_f_5scipy_7cluster_3_vq_cal_M':
scipy/cluster/_vq.c:1473:3: warning: implicit declaration of function 'sgemm_' [-Wimplicit-function-declaration]
   f_sgemm(__pyx_k_T, __pyx_k_N, (&__pyx_v_ncodes), (&__pyx_v_nobs), (&__pyx_v_nfeat), (&__pyx_v_alpha), __pyx_v_code_book, (&__pyx_v_nfeat), __pyx_v_obs, (&__pyx_v_nfeat), (&__pyx_v_beta), __pyx_v_M, (&__pyx_v_ncodes));
   ^
scipy/cluster/_vq.c: In function '__pyx_fuse_1__pyx_f_5scipy_7cluster_3_vq_cal_M':
scipy/cluster/_vq.c:1510:3: warning: implicit declaration of function 'dgemm_' [-Wimplicit-function-declaration]
   f_dgemm(__pyx_k_T, __pyx_k_N, (&__pyx_v_ncodes), (&__pyx_v_nobs), (&__pyx_v_nfeat), (&__pyx_v_alpha), __pyx_v_code_book, (&__pyx_v_nfeat), __pyx_v_obs, (&__pyx_v_nfeat), (&__pyx_v_beta), __pyx_v_M, (&__pyx_v_ncodes));
   ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/scipy/cluster/_vq.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/cluster/_vq.so
building 'scipy.cluster._hierarchy' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/cluster/_hierarchy.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/cluster/_hierarchy.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/cluster/_hierarchy.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
scipy/cluster/_hierarchy.c:26023:18: warning: '__Pyx_CFunc_double____double____double____double____int____int____int___to_py' defined but not used [-Wunused-function]
 static PyObject *__Pyx_CFunc_double____double____double____double____int____int____int___to_py(double (*__pyx_v_f)(double, double, double, int, int, int)) {
                  ^
scipy/cluster/_hierarchy.c: In function '__pyx_pw_5scipy_7cluster_10_hierarchy_25nn_chain':
scipy/cluster/_hierarchy.c:10259:10: warning: '__pyx_v_y' may be used uninitialized in this function [-Wmaybe-uninitialized]
       if (__pyx_t_11) {
          ^
scipy/cluster/_hierarchy.c:9807:7: note: '__pyx_v_y' was declared here
   int __pyx_v_y;
       ^
scipy/cluster/_hierarchy.c: In function '__pyx_pw_5scipy_7cluster_10_hierarchy_23linkage':
scipy/cluster/_hierarchy.c:2483:6: warning: '__pyx_v_y' may be used uninitialized in this function [-Wmaybe-uninitialized]
   if (__pyx_t_1) {
      ^
scipy/cluster/_hierarchy.c:9036:7: note: '__pyx_v_y' was declared here
   int __pyx_v_y;
       ^
scipy/cluster/_hierarchy.c:9649:10: warning: '__pyx_v_x' may be used uninitialized in this function [-Wmaybe-uninitialized]
       if (__pyx_t_15) {
          ^
scipy/cluster/_hierarchy.c:9035:7: note: '__pyx_v_x' was declared here
   int __pyx_v_x;
       ^
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/cluster/_hierarchy.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/cluster/_hierarchy.so
building 'scipy.fftpack._fftpack' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/build
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/fftpack
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/fftpack/src
compile options: '-Iscipy/fftpack/src -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/fftpack/src/zrfft.c
gcc: scipy/fftpack/src/zfftnd.c
gcc: build/src.linux-x86_64-2.7/scipy/fftpack/src/dct.c
gcc: build/src.linux-x86_64-2.7/scipy/fftpack/src/dst.c
gcc: scipy/fftpack/src/zfft.c
gcc: build/src.linux-x86_64-2.7/fortranobject.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/fortranobject.c:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc: scipy/fftpack/src/drfft.c
gcc: build/src.linux-x86_64-2.7/scipy/fftpack/_fftpackmodule.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/scipy/fftpack/_fftpackmodule.c:19:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/fftpack/_fftpackmodule.o build/temp.linux-x86_64-2.7/scipy/fftpack/src/zfft.o build/temp.linux-x86_64-2.7/scipy/fftpack/src/drfft.o build/temp.linux-x86_64-2.7/scipy/fftpack/src/zrfft.o build/temp.linux-x86_64-2.7/scipy/fftpack/src/zfftnd.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/fftpack/src/dct.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/fftpack/src/dst.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -ldfftpack -lfftpack -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/fftpack/_fftpack.so
building 'scipy.fftpack.convolve' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/scipy/fftpack/convolvemodule.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/scipy/fftpack/convolvemodule.c:19:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
build/src.linux-x86_64-2.7/scipy/fftpack/convolvemodule.c:131:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
gcc: build/src.linux-x86_64-2.7/fortranobject.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/fortranobject.c:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc: scipy/fftpack/src/convolve.c
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/fftpack/convolvemodule.o build/temp.linux-x86_64-2.7/scipy/fftpack/src/convolve.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -ldfftpack -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/fftpack/convolve.so
building 'scipy.integrate._quadpack' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/integrate/_quadpackmodule.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_3kcompat.h:23,
                 from scipy/integrate/quadpack.h:32,
                 from scipy/integrate/_quadpackmodule.c:4:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from scipy/integrate/_quadpackmodule.c:4:0:
scipy/integrate/quadpack.h: In function 'init_c_multivariate':
scipy/integrate/quadpack.h:162:16: warning: assignment from incompatible pointer type [enabled by default]
     store->arg = global_args;
                ^
scipy/integrate/quadpack.h:165:26: warning: assignment from incompatible pointer type [enabled by default]
     if ((global_function = get_ctypes_function_pointer(f)) == NULL) {
                          ^
scipy/integrate/quadpack.h: In function 'restore_c_multivariate':
scipy/integrate/quadpack.h:199:17: warning: assignment from incompatible pointer type [enabled by default]
     global_args = store->arg;
                 ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/scipy/integrate/_quadpackmodule.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -lquadpack -lmach -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/integrate/_quadpack.so
building 'scipy.integrate._odepack' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-DNPY_NO_DEPRECATED_API=NPY_1_9_API_VERSION -I/usr/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/integrate/_odepackmodule.c
scipy/integrate/_odepackmodule.c: In function 'odepack_odeint':
scipy/integrate/_odepackmodule.c:702:31: warning: 'tcrit' may be used uninitialized in this function [-Wmaybe-uninitialized]
             rwork[0] = *(tcrit+crit_ind);
                               ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/scipy/integrate/_odepackmodule.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -lodepack -lmach -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/integrate/_odepack.so
building 'scipy.integrate.vode' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/integrate
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c:19:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c: In function 'cb_f_in_dvode__user__routines':
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c:373:7: warning: unused variable 'ipar' [-Wunused-variable]
   int ipar=(*ipar_cb_capi);
       ^
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c:372:10: warning: unused variable 'rpar' [-Wunused-variable]
   double rpar=(*rpar_cb_capi);
          ^
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c: In function 'cb_jac_in_dvode__user__routines':
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c:505:7: warning: unused variable 'ipar' [-Wunused-variable]
   int ipar=(*ipar_cb_capi);
       ^
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c:504:10: warning: unused variable 'rpar' [-Wunused-variable]
   double rpar=(*rpar_cb_capi);
          ^
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c:502:7: warning: unused variable 'mu' [-Wunused-variable]
   int mu=(*mu_cb_capi);
       ^
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c:501:7: warning: unused variable 'ml' [-Wunused-variable]
   int ml=(*ml_cb_capi);
       ^
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c: In function 'cb_f_in_zvode__user__routines':
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c:633:7: warning: unused variable 'ipar' [-Wunused-variable]
   int ipar=(*ipar_cb_capi);
       ^
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c:632:10: warning: unused variable 'rpar' [-Wunused-variable]
   double rpar=(*rpar_cb_capi);
          ^
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c: In function 'cb_jac_in_zvode__user__routines':
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c:765:7: warning: unused variable 'ipar' [-Wunused-variable]
   int ipar=(*ipar_cb_capi);
       ^
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c:764:10: warning: unused variable 'rpar' [-Wunused-variable]
   double rpar=(*rpar_cb_capi);
          ^
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c:762:7: warning: unused variable 'mu' [-Wunused-variable]
   int mu=(*mu_cb_capi);
       ^
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c:761:7: warning: unused variable 'ml' [-Wunused-variable]
   int ml=(*ml_cb_capi);
       ^
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c: In function 'f2py_rout_vode_dvode':
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c:934:43: warning: variable 'jac_cptr' set but not used [-Wunused-but-set-variable]
   cb_jac_in_dvode__user__routines_typedef jac_cptr;
                                           ^
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c:929:41: warning: variable 'f_cptr' set but not used [-Wunused-but-set-variable]
   cb_f_in_dvode__user__routines_typedef f_cptr;
                                         ^
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c: In function 'f2py_rout_vode_zvode':
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c:1262:43: warning: variable 'jac_cptr' set but not used [-Wunused-but-set-variable]
   cb_jac_in_zvode__user__routines_typedef jac_cptr;
                                           ^
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c:1257:41: warning: variable 'f_cptr' set but not used [-Wunused-but-set-variable]
   cb_f_in_zvode__user__routines_typedef f_cptr;
                                         ^
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c: At top level:
build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.c:145:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
gcc: build/src.linux-x86_64-2.7/fortranobject.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/fortranobject.c:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/integrate/vodemodule.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -lodepack -lmach -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/integrate/vode.so
building 'scipy.integrate.lsoda' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/fortranobject.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/fortranobject.c:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc: build/src.linux-x86_64-2.7/scipy/integrate/lsodamodule.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/scipy/integrate/lsodamodule.c:19:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
build/src.linux-x86_64-2.7/scipy/integrate/lsodamodule.c: In function 'cb_jac_in_lsoda__user__routines':
build/src.linux-x86_64-2.7/scipy/integrate/lsodamodule.c:497:7: warning: unused variable 'mu' [-Wunused-variable]
   int mu=(*mu_cb_capi);
       ^
build/src.linux-x86_64-2.7/scipy/integrate/lsodamodule.c:496:7: warning: unused variable 'ml' [-Wunused-variable]
   int ml=(*ml_cb_capi);
       ^
build/src.linux-x86_64-2.7/scipy/integrate/lsodamodule.c: In function 'f2py_rout_lsoda_lsoda':
build/src.linux-x86_64-2.7/scipy/integrate/lsodamodule.c:711:43: warning: variable 'jac_cptr' set but not used [-Wunused-but-set-variable]
   cb_jac_in_lsoda__user__routines_typedef jac_cptr;
                                           ^
build/src.linux-x86_64-2.7/scipy/integrate/lsodamodule.c:662:41: warning: variable 'f_cptr' set but not used [-Wunused-but-set-variable]
   cb_f_in_lsoda__user__routines_typedef f_cptr;
                                         ^
build/src.linux-x86_64-2.7/scipy/integrate/lsodamodule.c: At top level:
build/src.linux-x86_64-2.7/scipy/integrate/lsodamodule.c:143:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/integrate/lsodamodule.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -lodepack -lmach -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/integrate/lsoda.so
building 'scipy.integrate._dop' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/fortranobject.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/fortranobject.c:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc: build/src.linux-x86_64-2.7/scipy/integrate/_dopmodule.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/scipy/integrate/_dopmodule.c:19:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
build/src.linux-x86_64-2.7/scipy/integrate/_dopmodule.c: In function 'cb_fcn_in___user__routines':
build/src.linux-x86_64-2.7/scipy/integrate/_dopmodule.c:371:7: warning: unused variable 'ipar' [-Wunused-variable]
   int ipar=(*ipar_cb_capi);
       ^
build/src.linux-x86_64-2.7/scipy/integrate/_dopmodule.c:370:10: warning: unused variable 'rpar' [-Wunused-variable]
   double rpar=(*rpar_cb_capi);
          ^
build/src.linux-x86_64-2.7/scipy/integrate/_dopmodule.c: In function 'cb_solout_in___user__routines':
build/src.linux-x86_64-2.7/scipy/integrate/_dopmodule.c:504:7: warning: unused variable 'irtn' [-Wunused-variable]
   int irtn=(*irtn_cb_capi);
       ^
build/src.linux-x86_64-2.7/scipy/integrate/_dopmodule.c:503:7: warning: unused variable 'ipar' [-Wunused-variable]
   int ipar=(*ipar_cb_capi);
       ^
build/src.linux-x86_64-2.7/scipy/integrate/_dopmodule.c:502:10: warning: unused variable 'rpar' [-Wunused-variable]
   double rpar=(*rpar_cb_capi);
          ^
build/src.linux-x86_64-2.7/scipy/integrate/_dopmodule.c: At top level:
build/src.linux-x86_64-2.7/scipy/integrate/_dopmodule.c:143:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/integrate/_dopmodule.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -ldop -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/integrate/_dop.so
building 'scipy.integrate._test_multivariate' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/scipy/integrate/tests
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/integrate/tests/_test_multivariate.c
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/integrate/tests/_test_multivariate.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/integrate/_test_multivariate.so
building 'scipy.integrate._test_odeint_banded' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/fortranobject.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/fortranobject.c:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc: build/src.linux-x86_64-2.7/scipy/integrate/_test_odeint_bandedmodule.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/scipy/integrate/_test_odeint_bandedmodule.c:19:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
build/src.linux-x86_64-2.7/scipy/integrate/_test_odeint_bandedmodule.c:112:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gfortran:f77: scipy/integrate/tests/banded5x5.f
scipy/integrate/tests/banded5x5.f:85.31:
      subroutine banded5x5(n, t, y, f)                                  
                               1
Warning: Unused dummy argument 't' at (1)
scipy/integrate/tests/banded5x5.f:112.42:
      subroutine banded5x5_jac(n, t, y, ml, mu, jac, nrowpd)            
                                          1
Warning: Unused dummy argument 'ml' at (1)
scipy/integrate/tests/banded5x5.f:112.46:
      subroutine banded5x5_jac(n, t, y, ml, mu, jac, nrowpd)            
                                              1
Warning: Unused dummy argument 'mu' at (1)
scipy/integrate/tests/banded5x5.f:112.35:
      subroutine banded5x5_jac(n, t, y, ml, mu, jac, nrowpd)            
                                   1
Warning: Unused dummy argument 't' at (1)
scipy/integrate/tests/banded5x5.f:112.38:
      subroutine banded5x5_jac(n, t, y, ml, mu, jac, nrowpd)            
                                      1
Warning: Unused dummy argument 'y' at (1)
scipy/integrate/tests/banded5x5.f:139.43:
      subroutine banded5x5_bjac(n, t, y, ml, mu, bjac, nrowpd)          
                                           1
Warning: Unused dummy argument 'ml' at (1)
scipy/integrate/tests/banded5x5.f:139.47:
      subroutine banded5x5_bjac(n, t, y, ml, mu, bjac, nrowpd)          
                                               1
Warning: Unused dummy argument 'mu' at (1)
scipy/integrate/tests/banded5x5.f:139.36:
      subroutine banded5x5_bjac(n, t, y, ml, mu, bjac, nrowpd)          
                                    1
Warning: Unused dummy argument 't' at (1)
scipy/integrate/tests/banded5x5.f:139.39:
      subroutine banded5x5_bjac(n, t, y, ml, mu, bjac, nrowpd)          
                                       1
Warning: Unused dummy argument 'y' at (1)
gfortran:f77: build/src.linux-x86_64-2.7/scipy/integrate/_test_odeint_banded-f2pywrappers.f
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/integrate/_test_odeint_bandedmodule.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o build/temp.linux-x86_64-2.7/scipy/integrate/tests/banded5x5.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/integrate/_test_odeint_banded-f2pywrappers.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -lodepack -lmach -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/integrate/_test_odeint_banded.so
building 'scipy.interpolate.interpnd' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/interpolate/interpnd.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from scipy/interpolate/interpnd.c:241:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from scipy/interpolate/interpnd.c:241:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
scipy/interpolate/interpnd.c: In function '__pyx_pf_5scipy_11interpolate_8interpnd_26CloughTocher2DInterpolator_10_do_evaluate.isra.44':
scipy/interpolate/interpnd.c:29207:25: warning: '__pyx_v_g3' may be used uninitialized in this function [-Wmaybe-uninitialized]
         z.imag = a.real * b.imag + a.imag * b.real;
                         ^
scipy/interpolate/interpnd.c:9002:10: note: '__pyx_v_g3' was declared here
   double __pyx_v_g3;
          ^
scipy/interpolate/interpnd.c:29207:25: warning: '__pyx_v_g2' may be used uninitialized in this function [-Wmaybe-uninitialized]
         z.imag = a.real * b.imag + a.imag * b.real;
                         ^
scipy/interpolate/interpnd.c:9001:10: note: '__pyx_v_g2' was declared here
   double __pyx_v_g2;
          ^
scipy/interpolate/interpnd.c:29207:25: warning: '__pyx_v_g1' may be used uninitialized in this function [-Wmaybe-uninitialized]
         z.imag = a.real * b.imag + a.imag * b.real;
                         ^
scipy/interpolate/interpnd.c:9000:10: note: '__pyx_v_g1' was declared here
   double __pyx_v_g1;
          ^
scipy/interpolate/interpnd.c: In function '__pyx_pf_5scipy_11interpolate_8interpnd_26CloughTocher2DInterpolator_8_do_evaluate.isra.45':
scipy/interpolate/interpnd.c:8817:33: warning: '__pyx_v_g3' may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_v_c1101 = (((__pyx_v_g3 * ((((-__pyx_v_c3000) + (3.0 * __pyx_v_c2100)) - (3.0 * __pyx_v_c1200)) + __pyx_v_c0300)) + (((((-__pyx_v_c3000) + (2.0 * __pyx_v_c2100)) - __pyx_v_c1200) + __pyx_v_c2001) + __pyx_v_c0201)) / 2.0);
                                 ^
scipy/interpolate/interpnd.c:8224:10: note: '__pyx_v_g3' was declared here
   double __pyx_v_g3;
          ^
scipy/interpolate/interpnd.c:8808:33: warning: '__pyx_v_g2' may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_v_c1011 = (((__pyx_v_g2 * ((((-__pyx_v_c0030) + (3.0 * __pyx_v_c1020)) - (3.0 * __pyx_v_c2010)) + __pyx_v_c3000)) + (((((-__pyx_v_c0030) + (2.0 * __pyx_v_c1020)) - __pyx_v_c2010) + __pyx_v_c2001) + __pyx_v_c0021)) / 2.0);
                                 ^
scipy/interpolate/interpnd.c:8223:10: note: '__pyx_v_g2' was declared here
   double __pyx_v_g2;
          ^
scipy/interpolate/interpnd.c:8799:33: warning: '__pyx_v_g1' may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_v_c0111 = (((__pyx_v_g1 * ((((-__pyx_v_c0300) + (3.0 * __pyx_v_c0210)) - (3.0 * __pyx_v_c0120)) + __pyx_v_c0030)) + (((((-__pyx_v_c0300) + (2.0 * __pyx_v_c0210)) - __pyx_v_c0120) + __pyx_v_c0021) + __pyx_v_c0201)) / 2.0);
                                 ^
scipy/interpolate/interpnd.c:8222:10: note: '__pyx_v_g1' was declared here
   double __pyx_v_g1;
          ^
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/interpolate/interpnd.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/interpolate/interpnd.so
building 'scipy.interpolate._ppoly' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/interpolate/_ppoly.c
scipy/interpolate/_ppoly.c: In function '__pyx_f_5scipy_11interpolate_6_ppoly_croots_poly1':
scipy/interpolate/_ppoly.c:12291:3: warning: implicit declaration of function 'dgeev_' [-Wimplicit-function-declaration]
   c_dgeev(__pyx_k_N, __pyx_k_N, (&__pyx_v_order), __pyx_v_a, (&__pyx_v_order), ((double *)__pyx_v_wr), ((double *)__pyx_v_wi), NULL, (&__pyx_v_order), NULL, (&__pyx_v_order), __pyx_v_work, (&__pyx_v_lwork), (&__pyx_v_info));
   ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/scipy/interpolate/_ppoly.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/interpolate/_ppoly.so
building 'scipy.interpolate._fitpack' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/scipy/interpolate/src
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/interpolate/src/_fitpackmodule.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/interpolate/src/multipack.h:32,
                 from scipy/interpolate/src/_fitpackmodule.c:5:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from scipy/interpolate/src/_fitpackmodule.c:5:0:
scipy/interpolate/src/multipack.h: In function 'call_python_function':
scipy/interpolate/src/multipack.h:143:27: warning: unused variable 'str1' [-Wunused-variable]
   PyObject *arg1 = NULL, *str1 = NULL;
                           ^
scipy/interpolate/src/_fitpackmodule.c: At top level:
scipy/interpolate/src/multipack.h:124:18: warning: 'call_python_function' defined but not used [-Wunused-function]
 static PyObject *call_python_function(PyObject *func, npy_intp n, double *x,
                  ^
In file included from scipy/interpolate/src/_fitpackmodule.c:7:0:
scipy/interpolate/src/__fitpack.h: In function '_bspldismat':
scipy/interpolate/src/__fitpack.h:1393:20: warning: 'dx' may be used uninitialized in this function [-Wmaybe-uninitialized]
             factor = pow(dx, (double)k);
                    ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/scipy/interpolate/src/_fitpackmodule.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lfitpack -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/interpolate/_fitpack.so
building 'scipy.interpolate.dfitpack' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/interpolate
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/interpolate/src
compile options: '-Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/scipy/interpolate/src/dfitpackmodule.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/scipy/interpolate/src/dfitpackmodule.c:19:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
build/src.linux-x86_64-2.7/scipy/interpolate/src/dfitpackmodule.c:152:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
gcc: build/src.linux-x86_64-2.7/fortranobject.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/fortranobject.c:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
compile options: '-Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gfortran:f77: build/src.linux-x86_64-2.7/scipy/interpolate/src/dfitpack-f2pywrappers.f
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/interpolate/src/dfitpackmodule.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/interpolate/src/dfitpack-f2pywrappers.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lfitpack -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/interpolate/dfitpack.so
building 'scipy.interpolate._interpolate' extension
compiling C++ sources
C compiler: g++ -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-Iscipy/interpolate/src -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
g++: scipy/interpolate/src/_interpolate.cpp
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/interpolate/src/_interpolate.cpp:5:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
scipy/interpolate/src/_interpolate.cpp: In function 'PyObject* linear_method(PyObject*, PyObject*, PyObject*)':
scipy/interpolate/src/_interpolate.cpp:13:59: warning: deprecated conversion from string constant to 'char*' [-Wwrite-strings]
     static char *kwlist[] = {"x","y","new_x","new_y", NULL};
                                                           ^
scipy/interpolate/src/_interpolate.cpp:13:59: warning: deprecated conversion from string constant to 'char*' [-Wwrite-strings]
scipy/interpolate/src/_interpolate.cpp:13:59: warning: deprecated conversion from string constant to 'char*' [-Wwrite-strings]
scipy/interpolate/src/_interpolate.cpp:13:59: warning: deprecated conversion from string constant to 'char*' [-Wwrite-strings]
scipy/interpolate/src/_interpolate.cpp: In function 'PyObject* loginterp_method(PyObject*, PyObject*, PyObject*)':
scipy/interpolate/src/_interpolate.cpp:63:59: warning: deprecated conversion from string constant to 'char*' [-Wwrite-strings]
     static char *kwlist[] = {"x","y","new_x","new_y", NULL};
                                                           ^
scipy/interpolate/src/_interpolate.cpp:63:59: warning: deprecated conversion from string constant to 'char*' [-Wwrite-strings]
scipy/interpolate/src/_interpolate.cpp:63:59: warning: deprecated conversion from string constant to 'char*' [-Wwrite-strings]
scipy/interpolate/src/_interpolate.cpp:63:59: warning: deprecated conversion from string constant to 'char*' [-Wwrite-strings]
scipy/interpolate/src/_interpolate.cpp: In function 'PyObject* window_average_method(PyObject*, PyObject*, PyObject*)':
scipy/interpolate/src/_interpolate.cpp:113:59: warning: deprecated conversion from string constant to 'char*' [-Wwrite-strings]
     static char *kwlist[] = {"x","y","new_x","new_y", NULL};
                                                           ^
scipy/interpolate/src/_interpolate.cpp:113:59: warning: deprecated conversion from string constant to 'char*' [-Wwrite-strings]
scipy/interpolate/src/_interpolate.cpp:113:59: warning: deprecated conversion from string constant to 'char*' [-Wwrite-strings]
scipy/interpolate/src/_interpolate.cpp:113:59: warning: deprecated conversion from string constant to 'char*' [-Wwrite-strings]
scipy/interpolate/src/_interpolate.cpp: In function 'PyObject* block_average_above_method(PyObject*, PyObject*, PyObject*)':
scipy/interpolate/src/_interpolate.cpp:164:59: warning: deprecated conversion from string constant to 'char*' [-Wwrite-strings]
     static char *kwlist[] = {"x","y","new_x","new_y", NULL};
                                                           ^
scipy/interpolate/src/_interpolate.cpp:164:59: warning: deprecated conversion from string constant to 'char*' [-Wwrite-strings]
scipy/interpolate/src/_interpolate.cpp:164:59: warning: deprecated conversion from string constant to 'char*' [-Wwrite-strings]
scipy/interpolate/src/_interpolate.cpp:164:59: warning: deprecated conversion from string constant to 'char*' [-Wwrite-strings]
g++ -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/interpolate/src/_interpolate.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/interpolate/_interpolate.so
building 'scipy.io.matlab.streams' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/scipy/io
creating build/temp.linux-x86_64-2.7/scipy/io/matlab
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/io/matlab/streams.c
scipy/io/matlab/streams.c:1000:13: warning: '__pyx_k_rb' defined but not used [-Wunused-variable]
 static char __pyx_k_rb[] = "rb";
             ^
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/io/matlab/streams.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/io/matlab/streams.so
building 'scipy.io.matlab.mio_utils' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/io/matlab/mio_utils.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/io/matlab/mio_utils.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/io/matlab/mio_utils.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/io/matlab/mio_utils.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/io/matlab/mio_utils.so
building 'scipy.io.matlab.mio5_utils' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/io/matlab/mio5_utils.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/io/matlab/mio5_utils.c:243:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/io/matlab/mio5_utils.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/io/matlab/mio5_utils.so
building 'scipy.linalg._fblas' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/build
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_fblasmodule.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_fblasmodule.c:19:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_fblasmodule.c:155:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
gcc: build/src.linux-x86_64-2.7/fortranobject.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/fortranobject.c:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gfortran:f77: /builddir/build/BUILD/scipy-0.18.0/scipy/_build_utils/src/wrap_dummy_g77_abi.f
gfortran:f77: /builddir/build/BUILD/scipy-0.18.0/scipy/_build_utils/src/wrap_dummy_accelerate.f
gfortran:f77: build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_fblas-f2pywrappers.f
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_fblasmodule.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o build/temp.linux-x86_64-2.7/builddir/build/BUILD/scipy-0.18.0/scipy/_build_utils/src/wrap_dummy_g77_abi.o build/temp.linux-x86_64-2.7/builddir/build/BUILD/scipy-0.18.0/scipy/_build_utils/src/wrap_dummy_accelerate.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_fblas-f2pywrappers.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/linalg/_fblas.so
building 'scipy.linalg._flapack' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:19:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_sgges':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:3144:46: warning: variable 'sselect_cptr' set but not used [-Wunused-but-set-variable]
   cb_sselect_in_gges__user__routines_typedef sselect_cptr;
                                              ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_dgges':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:3503:46: warning: variable 'dselect_cptr' set but not used [-Wunused-but-set-variable]
   cb_dselect_in_gges__user__routines_typedef dselect_cptr;
                                              ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_cgges':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:3860:46: warning: variable 'cselect_cptr' set but not used [-Wunused-but-set-variable]
   cb_cselect_in_gges__user__routines_typedef cselect_cptr;
                                              ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_zgges':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:4218:46: warning: variable 'zselect_cptr' set but not used [-Wunused-but-set-variable]
   cb_zselect_in_gges__user__routines_typedef zselect_cptr;
                                              ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_cptsv':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:7267:9: warning: passing argument 3 of 'f2py_func' from incompatible pointer type [enabled by default]
         (*f2py_func)(&n, &nrhs, d, e, b, &n, &info);;
         ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:7267:9: note: expected 'struct complex_float *' but argument is of type 'float *'
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_zptsv':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:7413:9: warning: passing argument 3 of 'f2py_func' from incompatible pointer type [enabled by default]
         (*f2py_func)(&n, &nrhs, d, e, b, &n, &info);;
         ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:7413:9: note: expected 'struct complex_double *' but argument is of type 'double *'
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_sgesdd_lwork':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:14628:7: warning: variable 'vt1' set but not used [-Wunused-but-set-variable]
   int vt1 = 0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:14626:7: warning: variable 'u1' set but not used [-Wunused-but-set-variable]
   int u1 = 0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_dgesdd_lwork':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:14776:7: warning: variable 'vt1' set but not used [-Wunused-but-set-variable]
   int vt1 = 0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:14774:7: warning: variable 'u1' set but not used [-Wunused-but-set-variable]
   int u1 = 0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_cgesdd_lwork':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:15440:7: warning: variable 'vt1' set but not used [-Wunused-but-set-variable]
   int vt1 = 0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:15438:7: warning: variable 'u1' set but not used [-Wunused-but-set-variable]
   int u1 = 0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_zgesdd_lwork':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:15593:7: warning: variable 'vt1' set but not used [-Wunused-but-set-variable]
   int vt1 = 0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:15591:7: warning: variable 'u1' set but not used [-Wunused-but-set-variable]
   int u1 = 0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_sgesvd_lwork':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:16190:7: warning: variable 'vt1' set but not used [-Wunused-but-set-variable]
   int vt1 = 0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:16188:7: warning: variable 'u1' set but not used [-Wunused-but-set-variable]
   int u1 = 0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_dgesvd_lwork':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:16335:7: warning: variable 'vt1' set but not used [-Wunused-but-set-variable]
   int vt1 = 0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:16333:7: warning: variable 'u1' set but not used [-Wunused-but-set-variable]
   int u1 = 0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_cgesvd_lwork':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:16960:7: warning: variable 'vt1' set but not used [-Wunused-but-set-variable]
   int vt1 = 0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:16958:7: warning: variable 'u1' set but not used [-Wunused-but-set-variable]
   int u1 = 0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_zgesvd_lwork':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:17110:7: warning: variable 'vt1' set but not used [-Wunused-but-set-variable]
   int vt1 = 0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:17108:7: warning: variable 'u1' set but not used [-Wunused-but-set-variable]
   int u1 = 0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_cgeqp3':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:22198:9: warning: passing argument 9 of 'f2py_func' from incompatible pointer type [enabled by default]
         (*f2py_func)(&m,&n,a,&m,jpvt,tau,work,&lwork,rwork,&info);
         ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:22198:9: note: expected 'float *' but argument is of type 'struct complex_float *'
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_zgeqp3':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:22381:9: warning: passing argument 9 of 'f2py_func' from incompatible pointer type [enabled by default]
         (*f2py_func)(&m,&n,a,&m,jpvt,tau,work,&lwork,rwork,&info);
         ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:22381:9: note: expected 'double *' but argument is of type 'struct complex_double *'
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_cheev':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:28638:9: warning: passing argument 6 of 'f2py_func' from incompatible pointer type [enabled by default]
         (*f2py_func)((compute_v?"V":"N"),(lower?"L":"U"),&n,a,&n,w,work,&lwork,rwork,&info);
         ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:28638:9: note: expected 'struct complex_float *' but argument is of type 'float *'
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_zheev':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:28821:9: warning: passing argument 6 of 'f2py_func' from incompatible pointer type [enabled by default]
         (*f2py_func)((compute_v?"V":"N"),(lower?"L":"U"),&n,a,&n,w,work,&lwork,rwork,&info);
         ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:28821:9: note: expected 'struct complex_double *' but argument is of type 'double *'
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_cgees':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:34045:46: warning: variable 'cselect_cptr' set but not used [-Wunused-but-set-variable]
   cb_cselect_in_gees__user__routines_typedef cselect_cptr;
                                              ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_zgees':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:34316:46: warning: variable 'zselect_cptr' set but not used [-Wunused-but-set-variable]
   cb_zselect_in_gees__user__routines_typedef zselect_cptr;
                                              ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_sgees':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:34589:46: warning: variable 'sselect_cptr' set but not used [-Wunused-but-set-variable]
   cb_sselect_in_gees__user__routines_typedef sselect_cptr;
                                              ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_dgees':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:34861:46: warning: variable 'dselect_cptr' set but not used [-Wunused-but-set-variable]
   cb_dselect_in_gees__user__routines_typedef dselect_cptr;
                                              ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_slange':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:44528:7: warning: variable 'lda' set but not used [-Wunused-but-set-variable]
   int lda = 0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_dlange':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:44658:7: warning: variable 'lda' set but not used [-Wunused-but-set-variable]
   int lda = 0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_clange':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:44788:7: warning: variable 'lda' set but not used [-Wunused-but-set-variable]
   int lda = 0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: In function 'f2py_rout__flapack_zlange':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:44918:7: warning: variable 'lda' set but not used [-Wunused-but-set-variable]
   int lda = 0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c: At top level:
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.c:337:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
gcc: build/src.linux-x86_64-2.7/fortranobject.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/fortranobject.c:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7/scipy/linalg/src
creating build/temp.linux-x86_64-2.7/scipy/linalg/src/lapack_deprecations
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gfortran:f77: /builddir/build/BUILD/scipy-0.18.0/scipy/_build_utils/src/wrap_dummy_g77_abi.f
gfortran:f77: /builddir/build/BUILD/scipy-0.18.0/scipy/_build_utils/src/wrap_dummy_accelerate.f
gfortran:f77: scipy/linalg/src/lapack_deprecations/cgegv.f
scipy/linalg/src/lapack_deprecations/cgegv.f:693.20:
            SBETA = ( SCALE*BETA( JC ) )*BNRM                           
                    1
Warning: Possible change of value in conversion from COMPLEX(4) to REAL(4) at (1)
gfortran:f77: scipy/linalg/src/lapack_deprecations/dgegv.f
gfortran:f77: scipy/linalg/src/lapack_deprecations/sgegv.f
gfortran:f77: scipy/linalg/src/lapack_deprecations/zgegv.f
scipy/linalg/src/lapack_deprecations/zgegv.f:693.20:
            SBETA = ( SCALE*BETA( JC ) )*BNRM                           
                    1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
gfortran:f77: build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapack-f2pywrappers.f
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapackmodule.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o build/temp.linux-x86_64-2.7/builddir/build/BUILD/scipy-0.18.0/scipy/_build_utils/src/wrap_dummy_g77_abi.o build/temp.linux-x86_64-2.7/builddir/build/BUILD/scipy-0.18.0/scipy/_build_utils/src/wrap_dummy_accelerate.o build/temp.linux-x86_64-2.7/scipy/linalg/src/lapack_deprecations/cgegv.o build/temp.linux-x86_64-2.7/scipy/linalg/src/lapack_deprecations/dgegv.o build/temp.linux-x86_64-2.7/scipy/linalg/src/lapack_deprecations/sgegv.o build/temp.linux-x86_64-2.7/scipy/linalg/src/lapack_deprecations/zgegv.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapack-f2pywrappers.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/linalg/_flapack.so
building 'scipy.linalg._cblas' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/fortranobject.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/fortranobject.c:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc: build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_cblasmodule.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_cblasmodule.c:19:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_cblasmodule.c:234:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_cblasmodule.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/linalg/_cblas.so
building 'scipy.linalg._clapack' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/fortranobject.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/fortranobject.c:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc: build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c:19:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c: In function 'f2py_rout__clapack_sgesv':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c:232:7: warning: variable 'sgesv_return_value' set but not used [-Wunused-but-set-variable]
   int sgesv_return_value=0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c: In function 'f2py_rout__clapack_dgesv':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c:389:7: warning: variable 'dgesv_return_value' set but not used [-Wunused-but-set-variable]
   int dgesv_return_value=0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c: In function 'f2py_rout__clapack_cgesv':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c:546:7: warning: variable 'cgesv_return_value' set but not used [-Wunused-but-set-variable]
   int cgesv_return_value=0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c: In function 'f2py_rout__clapack_zgesv':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c:703:7: warning: variable 'zgesv_return_value' set but not used [-Wunused-but-set-variable]
   int zgesv_return_value=0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c: In function 'f2py_rout__clapack_sposv':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c:860:7: warning: variable 'sposv_return_value' set but not used [-Wunused-but-set-variable]
   int sposv_return_value=0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c: In function 'f2py_rout__clapack_dposv':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c:1010:7: warning: variable 'dposv_return_value' set but not used [-Wunused-but-set-variable]
   int dposv_return_value=0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c: In function 'f2py_rout__clapack_cposv':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c:1160:7: warning: variable 'cposv_return_value' set but not used [-Wunused-but-set-variable]
   int cposv_return_value=0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c: In function 'f2py_rout__clapack_zposv':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c:1310:7: warning: variable 'zposv_return_value' set but not used [-Wunused-but-set-variable]
   int zposv_return_value=0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c: In function 'f2py_rout__clapack_slauum':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c:1457:7: warning: variable 'slauum_return_value' set but not used [-Wunused-but-set-variable]
   int slauum_return_value=0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c: In function 'f2py_rout__clapack_dlauum':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c:1578:7: warning: variable 'dlauum_return_value' set but not used [-Wunused-but-set-variable]
   int dlauum_return_value=0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c: In function 'f2py_rout__clapack_clauum':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c:1699:7: warning: variable 'clauum_return_value' set but not used [-Wunused-but-set-variable]
   int clauum_return_value=0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c: In function 'f2py_rout__clapack_zlauum':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c:1820:7: warning: variable 'zlauum_return_value' set but not used [-Wunused-but-set-variable]
   int zlauum_return_value=0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c: In function 'f2py_rout__clapack_strtri':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c:1942:7: warning: variable 'strtri_return_value' set but not used [-Wunused-but-set-variable]
   int strtri_return_value=0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c: In function 'f2py_rout__clapack_dtrtri':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c:2074:7: warning: variable 'dtrtri_return_value' set but not used [-Wunused-but-set-variable]
   int dtrtri_return_value=0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c: In function 'f2py_rout__clapack_ctrtri':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c:2206:7: warning: variable 'ctrtri_return_value' set but not used [-Wunused-but-set-variable]
   int ctrtri_return_value=0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c: In function 'f2py_rout__clapack_ztrtri':
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c:2338:7: warning: variable 'ztrtri_return_value' set but not used [-Wunused-but-set-variable]
   int ztrtri_return_value=0;
       ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c: At top level:
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.c:118:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_clapackmodule.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/linalg/_clapack.so
building 'scipy.linalg._flinalg' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/scipy/linalg/_flinalgmodule.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/scipy/linalg/_flinalgmodule.c:19:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
build/src.linux-x86_64-2.7/scipy/linalg/_flinalgmodule.c:113:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
gcc: build/src.linux-x86_64-2.7/fortranobject.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/fortranobject.c:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gfortran:f77: scipy/linalg/src/det.f
gfortran:f77: scipy/linalg/src/lu.f
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flinalgmodule.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o build/temp.linux-x86_64-2.7/scipy/linalg/src/det.o build/temp.linux-x86_64-2.7/scipy/linalg/src/lu.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/linalg/_flinalg.so
building 'scipy.linalg._interpolative' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/scipy/linalg/_interpolativemodule.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/scipy/linalg/_interpolativemodule.c:19:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
build/src.linux-x86_64-2.7/scipy/linalg/_interpolativemodule.c:147:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
gcc: build/src.linux-x86_64-2.7/fortranobject.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/fortranobject.c:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist
creating build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gfortran:f77: scipy/linalg/src/id_dist/src/idz_id2svd_subr_0.f
gfortran:f77: scipy/linalg/src/id_dist/src/idz_id2svd_subr_1.f
gfortran:f77: scipy/linalg/src/id_dist/src/idz_id2svd_subr_2.f
gfortran:f77: scipy/linalg/src/id_dist/src/idd_snorm.f
gfortran:f77: scipy/linalg/src/id_dist/src/idd_svd_subr_0.f
gfortran:f77: scipy/linalg/src/id_dist/src/idd_svd_subr_1.f
gfortran:f77: scipy/linalg/src/id_dist/src/idd_svd_subr_2.f
gfortran:f77: scipy/linalg/src/id_dist/src/iddp_aid.f
scipy/linalg/src/id_dist/src/iddp_aid.f:78.13:
        n2 = work(2)                                                    
             1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/iddp_aid.f:239.13:
        n2 = w(2)                                                       
             1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
gfortran:f77: scipy/linalg/src/id_dist/src/idzr_rsvd_subr_0.f
gfortran:f77: scipy/linalg/src/id_dist/src/idzr_rsvd_subr_1.f
gfortran:f77: scipy/linalg/src/id_dist/src/idzp_aid_subr_0.f
scipy/linalg/src/id_dist/src/idzp_aid_subr_0.f:63.13:
        n2 = work(2)                                                    
             1
Warning: Possible change of value in conversion from COMPLEX(8) to INTEGER(4) at (1)
gfortran:f77: scipy/linalg/src/id_dist/src/idzp_aid_subr_1.f
gfortran:f77: scipy/linalg/src/id_dist/src/idzp_aid_subr_2.f
gfortran:f77: scipy/linalg/src/id_dist/src/idzp_aid_subr_3.f
scipy/linalg/src/id_dist/src/idzp_aid_subr_3.f:47.13:
        n2 = w(2)                                                       
             1
Warning: Possible change of value in conversion from COMPLEX(8) to INTEGER(4) at (1)
gfortran:f77: scipy/linalg/src/id_dist/src/idzp_aid_subr_4.f
scipy/linalg/src/id_dist/src/idzp_aid_subr_4.f:29.17:
            ss = ss+a(j,k)*conjg(a(j,k))                                
                 1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
gfortran:f77: scipy/linalg/src/id_dist/src/idzp_aid_subr_5.f
gfortran:f77: scipy/linalg/src/id_dist/src/idz_frm_subr_0.f
scipy/linalg/src/id_dist/src/idz_frm_subr_0.f:37.13:
        iw = w(3+m+n)                                                   
             1
Warning: Possible change of value in conversion from COMPLEX(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/idz_frm_subr_0.f:104.13:
        iw = w(4+m+l)                                                   
             1
Warning: Possible change of value in conversion from COMPLEX(8) to INTEGER(4) at (1)
gfortran:f77: scipy/linalg/src/id_dist/src/idz_frm_subr_1.f
gfortran:f77: scipy/linalg/src/id_dist/src/idz_frm_subr_2.f
gfortran:f77: scipy/linalg/src/id_dist/src/idz_frm_subr_3.f
gfortran:f77: scipy/linalg/src/id_dist/src/idd_qrpiv.f
gfortran:f77: scipy/linalg/src/id_dist/src/idzp_asvd_subr_0.f
gfortran:f77: scipy/linalg/src/id_dist/src/idzp_asvd_subr_1.f
gfortran:f77: scipy/linalg/src/id_dist/src/idzp_asvd_subr_2.f
gfortran:f77: scipy/linalg/src/id_dist/src/idd_house.f
gfortran:f77: scipy/linalg/src/id_dist/src/idzr_rid.f
gfortran:f77: scipy/linalg/src/id_dist/src/idd_id2svd_subr_0.f
gfortran:f77: scipy/linalg/src/id_dist/src/idd_id2svd_subr_1.f
gfortran:f77: scipy/linalg/src/id_dist/src/idd_id2svd_subr_2.f
gfortran:f77: scipy/linalg/src/id_dist/src/idz_sfft.f
gfortran:f77: scipy/linalg/src/id_dist/src/idz_svd_subr_0.f
gfortran:f77: scipy/linalg/src/id_dist/src/idz_svd_subr_1.f
gfortran:f77: scipy/linalg/src/id_dist/src/idz_svd_subr_2.f
gfortran:f77: scipy/linalg/src/id_dist/src/idz_svd_subr_3.f
gfortran:f77: scipy/linalg/src/id_dist/src/prini.f
gfortran:f77: scipy/linalg/src/id_dist/src/idd_sfft.f
scipy/linalg/src/id_dist/src/idd_sfft.f:75.37:
        if(l .eq. 1) call idd_sffti1(ind,n,wsave)                       
                                     1
Warning: Rank mismatch in argument 'ind' at (1) (scalar and rank-1)
scipy/linalg/src/id_dist/src/idd_sfft.f:233.36:
        if(l .eq. 1) call idd_sfft1(ind,n,v,wsave)                      
                                    1
Warning: Rank mismatch in argument 'ind' at (1) (scalar and rank-1)
scipy/linalg/src/id_dist/src/idd_sfft.f:386.23:
            v(2*i-1) = sum                                              
                       1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
scipy/linalg/src/id_dist/src/idd_sfft.f:387.21:
            v(2*i) = -ci*sum                                            
                     1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
scipy/linalg/src/id_dist/src/idd_sfft.f:406.25:
              v(2*i-1) = sum                                            
                         1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
scipy/linalg/src/id_dist/src/idd_sfft.f:407.23:
              v(2*i) = -ci*sum                                          
                       1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
scipy/linalg/src/id_dist/src/idd_sfft.f:419.23:
                rsum = rsum + wsave(iii+m*(nblock/2)+k)                 
                       1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
scipy/linalg/src/id_dist/src/idd_sfft.f:428.23:
                rsum = rsum + wsave(iii+m*(nblock/2)+2*k-1)             
                       1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
scipy/linalg/src/id_dist/src/idd_sfft.f:429.23:
                rsum = rsum - wsave(iii+m*(nblock/2)+2*k)               
                       1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
scipy/linalg/src/id_dist/src/idd_sfft.f: In function 'idd_sfft1':
scipy/linalg/src/id_dist/src/idd_sfft.f:305:0: warning: 'sumr' may be used uninitialized in this function [-Wmaybe-uninitialized]
         v(2*ind-1) = sumr
 ^
scipy/linalg/src/id_dist/src/idd_sfft.f:306:0: warning: 'sumi' may be used uninitialized in this function [-Wmaybe-uninitialized]
         v(2*ind) = sumi
 ^
gfortran:f77: scipy/linalg/src/id_dist/src/iddr_asvd_subr_0.f
gfortran:f77: scipy/linalg/src/id_dist/src/iddr_asvd_subr_1.f
gfortran:f77: scipy/linalg/src/id_dist/src/iddp_rid.f
scipy/linalg/src/id_dist/src/iddp_rid.f: In function 'idd_findrank0':
scipy/linalg/src/id_dist/src/iddp_rid.f:302:0: warning: 'enorm' may be used uninitialized in this function [-Wmaybe-uninitialized]
      1   .and. krank .lt. m .and. krank .lt. n)
 ^
gfortran:f77: scipy/linalg/src/id_dist/src/iddp_asvd_subr_0.f
gfortran:f77: scipy/linalg/src/id_dist/src/iddp_asvd_subr_1.f
gfortran:f77: scipy/linalg/src/id_dist/src/id_rand_subr_0.f
gfortran:f77: scipy/linalg/src/id_dist/src/id_rand_subr_1.f
gfortran:f77: scipy/linalg/src/id_dist/src/id_rand_subr_2.f
scipy/linalg/src/id_dist/src/id_rand_subr_2.f:31.14:
          j = m*r+1                                                     
              1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
gfortran:f77: scipy/linalg/src/id_dist/src/iddr_aid.f
scipy/linalg/src/id_dist/src/iddr_aid.f:104.12:
        l = w(1)                                                        
            1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/iddr_aid.f:105.13:
        n2 = w(2)                                                       
             1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
gfortran:f77: scipy/linalg/src/id_dist/src/idd_id.f
scipy/linalg/src/id_dist/src/idd_id.f:106.20:
            iswap = rnorms(k)                                           
                    1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/idd_id.f:114.20:
          list(k) = rnorms(k)                                           
                    1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/idd_id.f:218.20:
            iswap = rnorms(k)                                           
                    1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/idd_id.f:226.20:
          list(k) = rnorms(k)                                           
                    1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
gfortran:f77: scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:145.17:
        ialbetas=w(1)                                                   
                 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:146.13:
        iixs=w(2)                                                       
             1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:147.15:
        nsteps=w(3)                                                     
               1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:148.12:
        iww=w(4)                                                        
            1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:149.10:
        n=w(5)                                                          
          1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:185.17:
        ialbetas=w(1)                                                   
                 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:186.13:
        iixs=w(2)                                                       
             1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:187.15:
        nsteps=w(3)                                                     
               1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:188.12:
        iww=w(4)                                                        
            1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:189.10:
        n=w(5)                                                          
          1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:223.17:
        ialbetas=w(1)                                                   
                 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:224.13:
        iixs=w(2)                                                       
             1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:225.15:
        nsteps=w(3)                                                     
               1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:226.12:
        iww=w(4)                                                        
            1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:227.10:
        n=w(5)                                                          
          1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:228.16:
        igammas=w(6)                                                    
                1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:265.17:
        ialbetas=w(1)                                                   
                 1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:266.13:
        iixs=w(2)                                                       
             1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:267.15:
        nsteps=w(3)                                                     
               1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:268.12:
        iww=w(4)                                                        
            1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:269.10:
        n=w(5)                                                          
          1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/id_rtrans_subr_0.f:270.16:
        igammas=w(6)                                                    
                1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
gfortran:f77: scipy/linalg/src/id_dist/src/id_rtrans_subr_1.f
gfortran:f77: scipy/linalg/src/id_dist/src/id_rtrans_subr_2.f
gfortran:f77: scipy/linalg/src/id_dist/src/id_rtrans_subr_3.f
gfortran:f77: scipy/linalg/src/id_dist/src/id_rtrans_subr_4.f
gfortran:f77: scipy/linalg/src/id_dist/src/id_rtrans_subr_5.f
gfortran:f77: scipy/linalg/src/id_dist/src/id_rtrans_subr_6.f
gfortran:f77: scipy/linalg/src/id_dist/src/id_rtrans_subr_7.f
gfortran:f77: scipy/linalg/src/id_dist/src/id_rtrans_subr_8.f
gfortran:f77: scipy/linalg/src/id_dist/src/id_rtrans_subr_9.f
gfortran:f77: scipy/linalg/src/id_dist/src/id_rtrans_subr_10.f
gfortran:f77: scipy/linalg/src/id_dist/src/id_rtrans_subr_11.f
gfortran:f77: scipy/linalg/src/id_dist/src/idz_house.f
scipy/linalg/src/id_dist/src/idz_house.f:73.18:
            sum = sum+vn(k)*conjg(vn(k))                                
                  1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
scipy/linalg/src/id_dist/src/idz_house.f:169.16:
          sum = sum+x(k)*conjg(x(k))                                    
                1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
scipy/linalg/src/id_dist/src/idz_house.f:189.14:
        rss = x1*conjg(x1) + sum                                        
              1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
scipy/linalg/src/id_dist/src/idz_house.f:199.15:
        test = conjg(phase) * x1                                        
               1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
scipy/linalg/src/id_dist/src/idz_house.f:234.15:
        scal = 2*v1*conjg(v1) / (v1*conjg(v1)+sum)                      
               1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
scipy/linalg/src/id_dist/src/idz_house.f:237.14:
        rss = phase*rss                                                 
              1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
gfortran:f77: scipy/linalg/src/id_dist/src/iddp_rsvd_subr_0.f
gfortran:f77: scipy/linalg/src/id_dist/src/iddp_rsvd_subr_1.f
scipy/linalg/src/id_dist/src/iddp_rsvd_subr_1.f:1.41:
        subroutine iddp_rsvd0(m,n,matvect,p1t,p2t,p3t,p4t,              
                                         1
Warning: Unused dummy argument 'matvect' at (1)
scipy/linalg/src/id_dist/src/iddp_rsvd_subr_1.f:1.45:
        subroutine iddp_rsvd0(m,n,matvect,p1t,p2t,p3t,p4t,              
                                             1
Warning: Unused dummy argument 'p1t' at (1)
scipy/linalg/src/id_dist/src/iddp_rsvd_subr_1.f:1.49:
        subroutine iddp_rsvd0(m,n,matvect,p1t,p2t,p3t,p4t,              
                                                 1
Warning: Unused dummy argument 'p2t' at (1)
scipy/linalg/src/id_dist/src/iddp_rsvd_subr_1.f:1.53:
        subroutine iddp_rsvd0(m,n,matvect,p1t,p2t,p3t,p4t,              
                                                     1
Warning: Unused dummy argument 'p3t' at (1)
scipy/linalg/src/id_dist/src/iddp_rsvd_subr_1.f:1.57:
        subroutine iddp_rsvd0(m,n,matvect,p1t,p2t,p3t,p4t,              
                                                         1
Warning: Unused dummy argument 'p4t' at (1)
gfortran:f77: scipy/linalg/src/id_dist/src/idzr_asvd_subr_0.f
gfortran:f77: scipy/linalg/src/id_dist/src/idzr_asvd_subr_1.f
gfortran:f77: scipy/linalg/src/id_dist/src/idzp_rsvd_subr_0.f
gfortran:f77: scipy/linalg/src/id_dist/src/idzp_rsvd_subr_1.f
scipy/linalg/src/id_dist/src/idzp_rsvd_subr_1.f:1.41:
        subroutine idzp_rsvd0(m,n,matveca,p1t,p2t,p3t,p4t,              
                                         1
Warning: Unused dummy argument 'matveca' at (1)
scipy/linalg/src/id_dist/src/idzp_rsvd_subr_1.f:1.45:
        subroutine idzp_rsvd0(m,n,matveca,p1t,p2t,p3t,p4t,              
                                             1
Warning: Unused dummy argument 'p1t' at (1)
scipy/linalg/src/id_dist/src/idzp_rsvd_subr_1.f:1.49:
        subroutine idzp_rsvd0(m,n,matveca,p1t,p2t,p3t,p4t,              
                                                 1
Warning: Unused dummy argument 'p2t' at (1)
scipy/linalg/src/id_dist/src/idzp_rsvd_subr_1.f:1.53:
        subroutine idzp_rsvd0(m,n,matveca,p1t,p2t,p3t,p4t,              
                                                     1
Warning: Unused dummy argument 'p3t' at (1)
scipy/linalg/src/id_dist/src/idzp_rsvd_subr_1.f:1.57:
        subroutine idzp_rsvd0(m,n,matveca,p1t,p2t,p3t,p4t,              
                                                         1
Warning: Unused dummy argument 'p4t' at (1)
gfortran:f77: scipy/linalg/src/id_dist/src/idzp_rsvd_subr_2.f
gfortran:f77: scipy/linalg/src/id_dist/src/idz_qrpiv.f
scipy/linalg/src/id_dist/src/idz_qrpiv.f:491.20:
            ss(k) = ss(k)+a(j,k)*conjg(a(j,k))                          
                    1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
scipy/linalg/src/id_dist/src/idz_qrpiv.f:573.22:
              ss(k) = ss(k)-a(krank,k)*conjg(a(krank,k))                
                      1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
scipy/linalg/src/id_dist/src/idz_qrpiv.f:621.28:
                    ss(k) = ss(k)+a(j,k)*conjg(a(j,k))                  
                            1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
scipy/linalg/src/id_dist/src/idz_qrpiv.f:749.20:
            ss(k) = ss(k)+a(j,k)*conjg(a(j,k))                          
                    1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
scipy/linalg/src/id_dist/src/idz_qrpiv.f:828.22:
              ss(k) = ss(k)-a(loop,k)*conjg(a(loop,k))                  
                      1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
scipy/linalg/src/id_dist/src/idz_qrpiv.f:876.28:
                    ss(k) = ss(k)+a(j,k)*conjg(a(j,k))                  
                            1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
gfortran:f77: scipy/linalg/src/id_dist/src/dfft_subr_0.f
Warning: Nonconforming tab character in column 1 of line 2
gfortran:f77: scipy/linalg/src/id_dist/src/dfft_subr_1.f
Warning: Nonconforming tab character in column 1 of line 2
gfortran:f77: scipy/linalg/src/id_dist/src/dfft_subr_2.f
Warning: Nonconforming tab character in column 1 of line 2
gfortran:f77: scipy/linalg/src/id_dist/src/dfft_subr_3.f
Warning: Nonconforming tab character in column 1 of line 2
gfortran:f77: scipy/linalg/src/id_dist/src/dfft_subr_4.f
Warning: Nonconforming tab character in column 1 of line 2
scipy/linalg/src/id_dist/src/dfft_subr_4.f: In function 'zffti1':
scipy/linalg/src/id_dist/src/dfft_subr_4.f:12:0: warning: 'ntry' may be used uninitialized in this function [-Wmaybe-uninitialized]
   103 NTRY = NTRY+2
 ^
gfortran:f77: scipy/linalg/src/id_dist/src/dfft_subr_5.f
Warning: Nonconforming tab character in column 1 of line 2
Warning: Nonconforming tab character in column 1 of line 12
Warning: Nonconforming tab character in column 1 of line 41
Warning: Nonconforming tab character in column 1 of line 67
Warning: Nonconforming tab character in column 1 of line 80
gfortran:f77: scipy/linalg/src/id_dist/src/dfft_subr_6.f
Warning: Nonconforming tab character in column 1 of line 2
scipy/linalg/src/id_dist/src/dfft_subr_6.f: In function 'dzfft1':
scipy/linalg/src/id_dist/src/dfft_subr_6.f:13:0: warning: 'ntry' may be used uninitialized in this function [-Wmaybe-uninitialized]
   103 NTRY = NTRY+2
 ^
gfortran:f77: scipy/linalg/src/id_dist/src/dfft_subr_7.f
Warning: Nonconforming tab character in column 1 of line 2
Warning: Nonconforming tab character in column 1 of line 16
Warning: Nonconforming tab character in column 1 of line 28
Warning: Nonconforming tab character in column 1 of line 48
Warning: Nonconforming tab character in column 1 of line 70
Warning: Nonconforming tab character in column 1 of line 97
Warning: Nonconforming tab character in column 1 of line 104
Warning: Nonconforming tab character in column 1 of line 221
Warning: Nonconforming tab character in column 1 of line 245
Warning: Nonconforming tab character in column 1 of line 288
Warning: Nonconforming tab character in column 1 of line 340
Warning: Nonconforming tab character in column 1 of line 419
Warning: Nonconforming tab character in column 1 of line 536
Warning: Nonconforming tab character in column 1 of line 560
Warning: Nonconforming tab character in column 1 of line 603
Warning: Nonconforming tab character in column 1 of line 655
Warning: Nonconforming tab character in column 1 of line 734
Warning: Nonconforming tab character in column 1 of line 762
Warning: Nonconforming tab character in column 1 of line 800
Warning: Nonconforming tab character in column 1 of line 858
Warning: Nonconforming tab character in column 1 of line 925
Warning: Nonconforming tab character in column 1 of line 1086
Warning: Nonconforming tab character in column 1 of line 1114
Warning: Nonconforming tab character in column 1 of line 1150
Warning: Nonconforming tab character in column 1 of line 1204
Warning: Nonconforming tab character in column 1 of line 1267
gfortran:f77: scipy/linalg/src/id_dist/src/dfft_subr_8.f
Warning: Nonconforming tab character in column 1 of line 2
gfortran:f77: scipy/linalg/src/id_dist/src/dfft_subr_9.f
Warning: Nonconforming tab character in column 1 of line 2
gfortran:f77: scipy/linalg/src/id_dist/src/dfft_subr_10.f
Warning: Nonconforming tab character in column 1 of line 2
gfortran:f77: scipy/linalg/src/id_dist/src/dfft_subr_11.f
Warning: Nonconforming tab character in column 1 of line 2
gfortran:f77: scipy/linalg/src/id_dist/src/dfft_subr_12.f
Warning: Nonconforming tab character in column 1 of line 2
scipy/linalg/src/id_dist/src/dfft_subr_12.f: In function 'dffti1':
scipy/linalg/src/id_dist/src/dfft_subr_12.f:12:0: warning: 'ntry' may be used uninitialized in this function [-Wmaybe-uninitialized]
   103 NTRY = NTRY+2
 ^
gfortran:f77: scipy/linalg/src/id_dist/src/dfft_subr_13.f
Warning: Nonconforming tab character in column 1 of line 2
Warning: Nonconforming tab character in column 1 of line 9
Warning: Nonconforming tab character in column 1 of line 28
Warning: Nonconforming tab character in column 1 of line 45
gfortran:f77: scipy/linalg/src/id_dist/src/dfft_subr_14.f
Warning: Nonconforming tab character in column 1 of line 2
gfortran:f77: scipy/linalg/src/id_dist/src/dfft_subr_15.f
Warning: Nonconforming tab character in column 1 of line 2
Warning: Nonconforming tab character in column 1 of line 13
gfortran:f77: scipy/linalg/src/id_dist/src/idd_frm_subr_0.f
scipy/linalg/src/id_dist/src/idd_frm_subr_0.f:37.13:
        iw = w(3+m+n)                                                   
             1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/idd_frm_subr_0.f:104.13:
        l2 = w(3)                                                       
             1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/idd_frm_subr_0.f:110.13:
        iw = w(4+m+l+l2)                                                
             1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
gfortran:f77: scipy/linalg/src/id_dist/src/idd_frm_subr_1.f
gfortran:f77: scipy/linalg/src/id_dist/src/idd_frm_subr_2.f
gfortran:f77: scipy/linalg/src/id_dist/src/idd_frm_subr_3.f
gfortran:f77: scipy/linalg/src/id_dist/src/idd_frm_subr_4.f
gfortran:f77: scipy/linalg/src/id_dist/src/idd_frm_subr_5.f
gfortran:f77: scipy/linalg/src/id_dist/src/idd_frm_subr_6.f
gfortran:f77: scipy/linalg/src/id_dist/src/iddr_rsvd_subr_0.f
gfortran:f77: scipy/linalg/src/id_dist/src/iddr_rsvd_subr_1.f
gfortran:f77: scipy/linalg/src/id_dist/src/idz_id.f
scipy/linalg/src/id_dist/src/idz_id.f:107.20:
            iswap = rnorms(k)                                           
                    1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/idz_id.f:115.20:
          list(k) = rnorms(k)                                           
                    1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/idz_id.f:124.24:
            rnorms(k) = a(k,k)                                          
                        1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
scipy/linalg/src/id_dist/src/idz_id.f:373.21:
            rnumer = a(j,krank+k)*conjg(a(j,krank+k))                   
                     1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
scipy/linalg/src/id_dist/src/idz_id.f:374.21:
            rdenom = a(j,j)*conjg(a(j,j))                               
                     1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
scipy/linalg/src/id_dist/src/idz_id.f:220.20:
            iswap = rnorms(k)                                           
                    1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/idz_id.f:228.20:
          list(k) = rnorms(k)                                           
                    1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/idz_id.f:237.22:
          rnorms(k) = a(k,k)                                            
                      1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
gfortran:f77: scipy/linalg/src/id_dist/src/iddr_rid.f
gfortran:f77: scipy/linalg/src/id_dist/src/idz_snorm.f
scipy/linalg/src/id_dist/src/idz_snorm.f:166.18:
          enorm = enorm+v(k)*conjg(v(k))                                
                  1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
gfortran:f77: scipy/linalg/src/id_dist/src/idzr_aid.f
scipy/linalg/src/id_dist/src/idzr_aid.f:105.12:
        l = w(1)                                                        
            1
Warning: Possible change of value in conversion from COMPLEX(8) to INTEGER(4) at (1)
scipy/linalg/src/id_dist/src/idzr_aid.f:106.13:
        n2 = w(2)                                                       
             1
Warning: Possible change of value in conversion from COMPLEX(8) to INTEGER(4) at (1)
gfortran:f77: scipy/linalg/src/id_dist/src/idzp_rid.f
scipy/linalg/src/id_dist/src/idzp_rid.f:273.22:
              enorm = enorm + y(k)*conjg(y(k))                          
                      1
Warning: Possible change of value in conversion from COMPLEX(8) to REAL(8) at (1)
scipy/linalg/src/id_dist/src/idzp_rid.f: In function 'idz_findrank0':
scipy/linalg/src/id_dist/src/idzp_rid.f:305:0: warning: 'enorm' may be used uninitialized in this function [-Wmaybe-uninitialized]
      1   .and. krank .lt. m .and. krank .lt. n)
 ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_interpolativemodule.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idz_id2svd_subr_0.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idz_id2svd_subr_1.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idz_id2svd_subr_2.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idd_snorm.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idd_svd_subr_0.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idd_svd_subr_1.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idd_svd_subr_2.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/iddp_aid.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idzr_rsvd_subr_0.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idzr_rsvd_subr_1.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idzp_aid_subr_0.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idzp_aid_subr_1.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idzp_aid_subr_2.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idzp_aid_subr_3.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idzp_aid_subr_4.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idzp_aid_subr_5.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idz_frm_subr_0.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idz_frm_subr_1.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idz_frm_subr_2.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idz_frm_subr_3.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idd_qrpiv.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idzp_asvd_subr_0.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idzp_asvd_subr_1.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idzp_asvd_subr_2.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idd_house.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idzr_rid.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idd_id2svd_subr_0.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idd_id2svd_subr_1.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idd_id2svd_subr_2.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idz_sfft.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idz_svd_subr_0.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idz_svd_subr_1.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idz_svd_subr_2.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idz_svd_subr_3.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/prini.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idd_sfft.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/iddr_asvd_subr_0.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/iddr_asvd_subr_1.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/iddp_rid.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/iddp_asvd_subr_0.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/iddp_asvd_subr_1.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/id_rand_subr_0.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/id_rand_subr_1.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/id_rand_subr_2.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/iddr_aid.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idd_id.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/id_rtrans_subr_0.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/id_rtrans_subr_1.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/id_rtrans_subr_2.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/id_rtrans_subr_3.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/id_rtrans_subr_4.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/id_rtrans_subr_5.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/id_rtrans_subr_6.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/id_rtrans_subr_7.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/id_rtrans_subr_8.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/id_rtrans_subr_9.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/id_rtrans_subr_10.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/id_rtrans_subr_11.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idz_house.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/iddp_rsvd_subr_0.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/iddp_rsvd_subr_1.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idzr_asvd_subr_0.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idzr_asvd_subr_1.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idzp_rsvd_subr_0.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idzp_rsvd_subr_1.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idzp_rsvd_subr_2.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idz_qrpiv.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/dfft_subr_0.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/dfft_subr_1.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/dfft_subr_2.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/dfft_subr_3.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/dfft_subr_4.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/dfft_subr_5.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/dfft_subr_6.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/dfft_subr_7.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/dfft_subr_8.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/dfft_subr_9.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/dfft_subr_10.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/dfft_subr_11.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/dfft_subr_12.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/dfft_subr_13.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/dfft_subr_14.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/dfft_subr_15.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idd_frm_subr_0.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idd_frm_subr_1.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idd_frm_subr_2.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idd_frm_subr_3.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idd_frm_subr_4.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idd_frm_subr_5.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idd_frm_subr_6.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/iddr_rsvd_subr_0.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/iddr_rsvd_subr_1.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idz_id.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/iddr_rid.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idz_snorm.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idzr_aid.o build/temp.linux-x86_64-2.7/scipy/linalg/src/id_dist/src/idzp_rid.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/linalg/_interpolative.so
building 'scipy.linalg._calc_lwork' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/fortranobject.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/fortranobject.c:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc: build/src.linux-x86_64-2.7/scipy/linalg/_calc_lworkmodule.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/scipy/linalg/_calc_lworkmodule.c:19:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
build/src.linux-x86_64-2.7/scipy/linalg/_calc_lworkmodule.c:138:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gfortran:f77: scipy/linalg/src/calc_lwork.f
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_calc_lworkmodule.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o build/temp.linux-x86_64-2.7/scipy/linalg/src/calc_lwork.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/linalg/_calc_lwork.so
building 'scipy.linalg._solve_toeplitz' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/linalg/_solve_toeplitz.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/linalg/_solve_toeplitz.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/linalg/_solve_toeplitz.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/linalg/_solve_toeplitz.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/linalg/_solve_toeplitz.so
building 'scipy.linalg.cython_blas' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-DATLAS_INFO="\"3.10.1\"" -Iscipy/linalg -I/usr/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/linalg/cython_blas.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/linalg/cython_blas.c:243:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
scipy/linalg/cython_blas.c: In function '__pyx_f_5scipy_6linalg_11cython_blas_cdotc':
scipy/linalg/cython_blas.c:1903:3: warning: passing argument 1 of 'cdotcwrp_' from incompatible pointer type [enabled by default]
   F_FUNC(cdotcwrp, CDOTCWRP)((&__pyx_v_out), __pyx_v_n, ((npy_complex64 *)__pyx_v_cx), __pyx_v_incx, ((npy_complex64 *)__pyx_v_cy), __pyx_v_incy);
   ^
In file included from scipy/linalg/_blas_subroutines.h:6:0,
                 from scipy/linalg/cython_blas.c:245:
scipy/linalg/_blas_subroutines.h:13:13: note: expected 'struct npy_complex64 *' but argument is of type 'struct __pyx_t_float_complex *'
 void F_FUNC(cdotcwrp, CDOTCWRP)(npy_complex64 *ret, int *n, npy_complex64 *cx, int *incx, npy_complex64 *cy, int *incy);
             ^
scipy/linalg/fortran_defs.h:15:21: note: in definition of macro 'F_FUNC'
 #define F_FUNC(f,F) f##_
                     ^
scipy/linalg/cython_blas.c: In function '__pyx_f_5scipy_6linalg_11cython_blas_cdotu':
scipy/linalg/cython_blas.c:1947:3: warning: passing argument 1 of 'cdotuwrp_' from incompatible pointer type [enabled by default]
   F_FUNC(cdotuwrp, CDOTUWRP)((&__pyx_v_out), __pyx_v_n, ((npy_complex64 *)__pyx_v_cx), __pyx_v_incx, ((npy_complex64 *)__pyx_v_cy), __pyx_v_incy);
   ^
In file included from scipy/linalg/_blas_subroutines.h:6:0,
                 from scipy/linalg/cython_blas.c:245:
scipy/linalg/_blas_subroutines.h:14:13: note: expected 'struct npy_complex64 *' but argument is of type 'struct __pyx_t_float_complex *'
 void F_FUNC(cdotuwrp, CDOTUWRP)(npy_complex64 *ret, int *n, npy_complex64 *cx, int *incx, npy_complex64 *cy, int *incy);
             ^
scipy/linalg/fortran_defs.h:15:21: note: in definition of macro 'F_FUNC'
 #define F_FUNC(f,F) f##_
                     ^
scipy/linalg/cython_blas.c: In function '__pyx_f_5scipy_6linalg_11cython_blas_zdotc':
scipy/linalg/cython_blas.c:2783:3: warning: passing argument 1 of 'zdotcwrp_' from incompatible pointer type [enabled by default]
   F_FUNC(zdotcwrp, ZDOTCWRP)((&__pyx_v_out), __pyx_v_n, ((npy_complex128 *)__pyx_v_zx), __pyx_v_incx, ((npy_complex128 *)__pyx_v_zy), __pyx_v_incy);
   ^
In file included from scipy/linalg/_blas_subroutines.h:6:0,
                 from scipy/linalg/cython_blas.c:245:
scipy/linalg/_blas_subroutines.h:33:13: note: expected 'struct npy_complex128 *' but argument is of type 'struct __pyx_t_double_complex *'
 void F_FUNC(zdotcwrp, ZDOTCWRP)(npy_complex128 *ret, int *n, npy_complex128 *zx, int *incx, npy_complex128 *zy, int *incy);
             ^
scipy/linalg/fortran_defs.h:15:21: note: in definition of macro 'F_FUNC'
 #define F_FUNC(f,F) f##_
                     ^
scipy/linalg/cython_blas.c: In function '__pyx_f_5scipy_6linalg_11cython_blas_zdotu':
scipy/linalg/cython_blas.c:2827:3: warning: passing argument 1 of 'zdotuwrp_' from incompatible pointer type [enabled by default]
   F_FUNC(zdotuwrp, ZDOTUWRP)((&__pyx_v_out), __pyx_v_n, ((npy_complex128 *)__pyx_v_zx), __pyx_v_incx, ((npy_complex128 *)__pyx_v_zy), __pyx_v_incy);
   ^
In file included from scipy/linalg/_blas_subroutines.h:6:0,
                 from scipy/linalg/cython_blas.c:245:
scipy/linalg/_blas_subroutines.h:34:13: note: expected 'struct npy_complex128 *' but argument is of type 'struct __pyx_t_double_complex *'
 void F_FUNC(zdotuwrp, ZDOTUWRP)(npy_complex128 *ret, int *n, npy_complex128 *zx, int *incx, npy_complex128 *zy, int *incy);
             ^
scipy/linalg/fortran_defs.h:15:21: note: in definition of macro 'F_FUNC'
 #define F_FUNC(f,F) f##_
                     ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/linalg/cython_blas.c:243:
scipy/linalg/cython_blas.c: At top level:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/scipy/linalg/cython_blas.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -lfwrappers -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/linalg/cython_blas.so
building 'scipy.linalg.cython_lapack' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-DATLAS_INFO="\"3.10.1\"" -Iscipy/linalg -I/usr/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/linalg/cython_lapack.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/linalg/cython_lapack.c:243:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
scipy/linalg/cython_lapack.c: In function '__pyx_f_5scipy_6linalg_13cython_lapack_cladiv':
scipy/linalg/cython_lapack.c:1207:3: warning: passing argument 1 of 'cladivwrp_' from incompatible pointer type [enabled by default]
   F_FUNC(cladivwrp, CLADIVWRP)((&__pyx_v_out), ((npy_complex64 *)__pyx_v_x), ((npy_complex64 *)__pyx_v_y));
   ^
In file included from scipy/linalg/_lapack_subroutines.h:6:0,
                 from scipy/linalg/cython_lapack.c:245:
scipy/linalg/_lapack_subroutines.h:22:13: note: expected 'struct npy_complex64 *' but argument is of type 'struct __pyx_t_float_complex *'
 void F_FUNC(cladivwrp, CLADIVWRP)(npy_complex64 *ret, npy_complex64 *x, npy_complex64 *y);
             ^
scipy/linalg/fortran_defs.h:15:21: note: in definition of macro 'F_FUNC'
 #define F_FUNC(f,F) f##_
                     ^
scipy/linalg/cython_lapack.c: In function '__pyx_f_5scipy_6linalg_13cython_lapack_zladiv':
scipy/linalg/cython_lapack.c:3407:3: warning: passing argument 1 of 'zladivwrp_' from incompatible pointer type [enabled by default]
   F_FUNC(zladivwrp, ZLADIVWRP)((&__pyx_v_out), ((npy_complex128 *)__pyx_v_x), ((npy_complex128 *)__pyx_v_y));
   ^
In file included from scipy/linalg/_lapack_subroutines.h:6:0,
                 from scipy/linalg/cython_lapack.c:245:
scipy/linalg/_lapack_subroutines.h:72:13: note: expected 'struct npy_complex128 *' but argument is of type 'struct __pyx_t_double_complex *'
 void F_FUNC(zladivwrp, ZLADIVWRP)(npy_complex128 *ret, npy_complex128 *x, npy_complex128 *y);
             ^
scipy/linalg/fortran_defs.h:15:21: note: in definition of macro 'F_FUNC'
 #define F_FUNC(f,F) f##_
                     ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/linalg/cython_lapack.c:243:
scipy/linalg/cython_lapack.c: At top level:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/scipy/linalg/cython_lapack.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -lfwrappers -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/linalg/cython_lapack.so
building 'scipy.linalg._decomp_update' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/linalg/_decomp_update.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/linalg/_decomp_update.c:245:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/linalg/_decomp_update.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/linalg/_decomp_update.so
building 'scipy.odr.__odrpack' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-DHAVE_CBLAS -DATLAS_INFO="\"3.10.1\"" -Iscipy/odr -I/usr/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/odr/__odrpack.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/odr/odrpack.h:2,
                 from scipy/odr/__odrpack.c:12:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
scipy/odr/__odrpack.c: In function 'odr':
scipy/odr/__odrpack.c:1115:13: warning: format '%d' expects argument of type 'int', but argument 2 has type 'npy_intp' [-Wformat=]
             printf("%d %d\n", work->dimensions[0], lwork);
             ^
scipy/odr/__odrpack.c: In function 'init__odrpack':
scipy/odr/__odrpack.c:1302:19: warning: unused variable 'd' [-Wunused-variable]
     PyObject *m, *d;
                   ^
scipy/odr/__odrpack.c:1302:15: warning: variable 'm' set but not used [-Wunused-but-set-variable]
     PyObject *m, *d;
               ^
In file included from /usr/include/python2.7/Python.h:80:0,
                 from scipy/odr/odrpack.h:1,
                 from scipy/odr/__odrpack.c:12:
scipy/odr/__odrpack.c: In function 'fcn_callback':
/usr/include/python2.7/object.h:823:32: warning: 'result' may be used uninitialized in this function [-Wmaybe-uninitialized]
 #define Py_XDECREF(op) do { if ((op) == NULL) ; else Py_DECREF(op); } while (0)
                                ^
scipy/odr/__odrpack.c:47:13: note: 'result' was declared here
   PyObject *result;
             ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/scipy/odr/__odrpack.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -lodrpack -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/odr/__odrpack.so
building 'scipy.optimize._minpack' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-DNPY_NO_DEPRECATED_API=NPY_1_9_API_VERSION -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/optimize/_minpackmodule.c
In file included from scipy/optimize/_minpackmodule.c:5:0:
scipy/optimize/__minpack.h: In function 'minpack_hybrd':
scipy/optimize/minpack.h:43:64: warning: unused variable 'store_multipack_globals3' [-Wunused-variable]
 #define STORE_VARS() PyObject *store_multipack_globals[4]; int store_multipack_globals3;
                                                                ^
scipy/optimize/__minpack.h:245:3: note: in expansion of macro 'STORE_VARS'
   STORE_VARS();    /* Define storage variables for global variables. */
   ^
scipy/optimize/__minpack.h: In function 'minpack_lmdif':
scipy/optimize/minpack.h:43:64: warning: unused variable 'store_multipack_globals3' [-Wunused-variable]
 #define STORE_VARS() PyObject *store_multipack_globals[4]; int store_multipack_globals3;
                                                                ^
scipy/optimize/__minpack.h:452:3: note: in expansion of macro 'STORE_VARS'
   STORE_VARS();
   ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/scipy/optimize/_minpackmodule.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lminpack -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/optimize/_minpack.so
building 'scipy.optimize._zeros' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-DNPY_NO_DEPRECATED_API=NPY_1_9_API_VERSION -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/optimize/zeros.c
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/optimize/zeros.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lrootfind -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/optimize/_zeros.so
building 'scipy.optimize._lbfgsb' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/optimize
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/optimize/lbfgsb
compile options: '-DATLAS_INFO="\"3.10.1\"" -DNPY_NO_DEPRECATED_API=NPY_1_9_API_VERSION -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/fortranobject.c
gcc: build/src.linux-x86_64-2.7/scipy/optimize/lbfgsb/_lbfgsbmodule.c
build/src.linux-x86_64-2.7/scipy/optimize/lbfgsb/_lbfgsbmodule.c:185:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7/scipy/optimize/lbfgsb
compile options: '-DATLAS_INFO="\"3.10.1\"" -DNPY_NO_DEPRECATED_API=NPY_1_9_API_VERSION -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gfortran:f77: scipy/optimize/lbfgsb/lbfgsb.f
scipy/optimize/lbfgsb/lbfgsb.f:969.5:
 1003 format (2(1x,i4),5x,'-',5x,'-',3x,'-',5x,'-',5x,'-',8x,'-',3x,    
     1
Warning: Label 1003 at (1) defined but not used
scipy/optimize/lbfgsb/lbfgsb.f:2860.5:
 3002 format(2(1x,i4),2(1x,i5),2x,a3,1x,i4,1p,2(2x,d7.1),6x,'-',10x,'-')
     1
Warning: Label 3002 at (1) defined but not used
scipy/optimize/lbfgsb/lbfgsb.f:2718.5:
 9001 format (/,3x,'it',3x,'nf',2x,'nseg',2x,'nact',2x,'sub',2x,'itls', 
     1
Warning: Label 9001 at (1) defined but not used
scipy/optimize/lbfgsb/lbfgsb.f:2700.5:
 2001 format ('RUNNING THE L-BFGS-B CODE',/,/,                          
     1
Warning: Label 2001 at (1) defined but not used
scipy/optimize/lbfgsb/lbfgsb.f:2786.5:
 3001 format(2(1x,i4),2(1x,i5),2x,a3,1x,i4,1p,2(2x,d7.1),1p,2(1x,d10.3))
     1
Warning: Label 3001 at (1) defined but not used
scipy/optimize/lbfgsb/lbfgsb.f:2796.47:
     +                  time, nseg, word, iback, stp, xstep, k,         
                                               1
Warning: Unused dummy argument 'iback' at (1)
scipy/optimize/lbfgsb/lbfgsb.f:2796.34:
     +                  time, nseg, word, iback, stp, xstep, k,         
                                  1
Warning: Unused dummy argument 'nseg' at (1)
scipy/optimize/lbfgsb/lbfgsb.f:2796.52:
     +                  time, nseg, word, iback, stp, xstep, k,         
                                                    1
Warning: Unused dummy argument 'stp' at (1)
scipy/optimize/lbfgsb/lbfgsb.f:2796.40:
     +                  time, nseg, word, iback, stp, xstep, k,         
                                        1
Warning: Unused dummy argument 'word' at (1)
scipy/optimize/lbfgsb/lbfgsb.f:2796.59:
     +                  time, nseg, word, iback, stp, xstep, k,         
                                                           1
Warning: Unused dummy argument 'xstep' at (1)
scipy/optimize/lbfgsb/lbfgsb.f:2727.60:
      subroutine prn2lb(n, x, f, g, iprint, iter, nfgv, nact,           
                                                            1
Warning: Unused dummy argument 'nact' at (1)
scipy/optimize/lbfgsb/lbfgsb.f:2727.54:
      subroutine prn2lb(n, x, f, g, iprint, iter, nfgv, nact,           
                                                      1
Warning: Unused dummy argument 'nfgv' at (1)
scipy/optimize/lbfgsb/lbfgsb.f:2728.36:
     +                  sbgnrm, nseg, word, iword, iback, stp, xstep)   
                                    1
Warning: Unused dummy argument 'nseg' at (1)
scipy/optimize/lbfgsb/lbfgsb.f:2728.61:
     +                  sbgnrm, nseg, word, iword, iback, stp, xstep)   
                                                             1
Warning: Unused dummy argument 'stp' at (1)
scipy/optimize/lbfgsb/lbfgsb.f: In function 'cauchy':
scipy/optimize/lbfgsb/lbfgsb.f:1444:0: warning: 'tu' may be used uninitialized in this function [-Wmaybe-uninitialized]
             xupper = nbd(i) .ge. 2 .and. tu .le. zero
 ^
scipy/optimize/lbfgsb/lbfgsb.f:1473:0: warning: 'tl' may be used uninitialized in this function [-Wmaybe-uninitialized]
                t(nbreak) = tl/(-neggi)
 ^
gfortran:f77: scipy/optimize/lbfgsb/linpack.f
gfortran:f77: scipy/optimize/lbfgsb/timer.f
scipy/optimize/lbfgsb/timer.f:4.15:
      real temp                                                         
               1
Warning: Unused variable 'temp' declared at (1)
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/optimize/lbfgsb/_lbfgsbmodule.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o build/temp.linux-x86_64-2.7/scipy/optimize/lbfgsb/lbfgsb.o build/temp.linux-x86_64-2.7/scipy/optimize/lbfgsb/linpack.o build/temp.linux-x86_64-2.7/scipy/optimize/lbfgsb/timer.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/optimize/_lbfgsb.so
building 'scipy.optimize.moduleTNC' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/scipy/optimize/tnc
compile options: '-DNPY_NO_DEPRECATED_API=NPY_1_9_API_VERSION -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/optimize/tnc/tnc.c
gcc: scipy/optimize/tnc/moduleTNC.c
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/optimize/tnc/moduleTNC.o build/temp.linux-x86_64-2.7/scipy/optimize/tnc/tnc.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/optimize/moduleTNC.so
building 'scipy.optimize._cobyla' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/optimize/cobyla
compile options: '-DNPY_NO_DEPRECATED_API=NPY_1_9_API_VERSION -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/fortranobject.c
gcc: build/src.linux-x86_64-2.7/scipy/optimize/cobyla/_cobylamodule.c
build/src.linux-x86_64-2.7/scipy/optimize/cobyla/_cobylamodule.c: In function 'cb_calcfc_in__cobyla__user__routines':
build/src.linux-x86_64-2.7/scipy/optimize/cobyla/_cobylamodule.c:356:10: warning: unused variable 'f' [-Wunused-variable]
   double f=(*f_cb_capi);
          ^
build/src.linux-x86_64-2.7/scipy/optimize/cobyla/_cobylamodule.c: At top level:
build/src.linux-x86_64-2.7/scipy/optimize/cobyla/_cobylamodule.c:130:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7/scipy/optimize/cobyla
compile options: '-DNPY_NO_DEPRECATED_API=NPY_1_9_API_VERSION -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gfortran:f77: scipy/optimize/cobyla/cobyla2.f
gfortran:f77: scipy/optimize/cobyla/trstlp.f
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/optimize/cobyla/_cobylamodule.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o build/temp.linux-x86_64-2.7/scipy/optimize/cobyla/cobyla2.o build/temp.linux-x86_64-2.7/scipy/optimize/cobyla/trstlp.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/optimize/_cobyla.so
building 'scipy.optimize.minpack2' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/optimize/minpack2
compile options: '-DNPY_NO_DEPRECATED_API=NPY_1_9_API_VERSION -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/scipy/optimize/minpack2/minpack2module.c
build/src.linux-x86_64-2.7/scipy/optimize/minpack2/minpack2module.c:137:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
gcc: build/src.linux-x86_64-2.7/fortranobject.c
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7/scipy/optimize/minpack2
compile options: '-DNPY_NO_DEPRECATED_API=NPY_1_9_API_VERSION -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gfortran:f77: scipy/optimize/minpack2/dcsrch.f
gfortran:f77: scipy/optimize/minpack2/dcstep.f
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/optimize/minpack2/minpack2module.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o build/temp.linux-x86_64-2.7/scipy/optimize/minpack2/dcsrch.o build/temp.linux-x86_64-2.7/scipy/optimize/minpack2/dcstep.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/optimize/minpack2.so
building 'scipy.optimize._slsqp' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/optimize/slsqp
compile options: '-DNPY_NO_DEPRECATED_API=NPY_1_9_API_VERSION -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/scipy/optimize/slsqp/_slsqpmodule.c
build/src.linux-x86_64-2.7/scipy/optimize/slsqp/_slsqpmodule.c:153:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
gcc: build/src.linux-x86_64-2.7/fortranobject.c
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7/scipy/optimize/slsqp
compile options: '-DNPY_NO_DEPRECATED_API=NPY_1_9_API_VERSION -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gfortran:f77: scipy/optimize/slsqp/slsqp_optmz.f
scipy/optimize/slsqp/slsqp_optmz.f:1958.72:
   10 assign 30 to next                                                 
                                                                        1
Warning: Deleted feature: ASSIGN statement at (1)
scipy/optimize/slsqp/slsqp_optmz.f:1963.19:
   20    GO TO next,(30, 50, 70, 110)                                   
                   1
Warning: Deleted feature: Assigned GOTO statement at (1)
scipy/optimize/slsqp/slsqp_optmz.f:1965.72:
      assign 50 to next                                                 
                                                                        1
Warning: Deleted feature: ASSIGN statement at (1)
scipy/optimize/slsqp/slsqp_optmz.f:1975.72:
      assign 70 to next                                                 
                                                                        1
Warning: Deleted feature: ASSIGN statement at (1)
scipy/optimize/slsqp/slsqp_optmz.f:1981.72:
      assign 110 to next                                                
                                                                        1
Warning: Deleted feature: ASSIGN statement at (1)
scipy/optimize/slsqp/slsqp_optmz.f:1994.5:
  110 IF( ABS(dx(i)) .LE. xmax ) GO TO 115                              
     1
Warning: Label 110 at (1) defined but not used
scipy/optimize/slsqp/slsqp_optmz.f:1989.5:
   70 IF( ABS(dx(i)) .GT. cutlo ) GO TO 75                              
     1
Warning: Label 70 at (1) defined but not used
scipy/optimize/slsqp/slsqp_optmz.f:1970.5:
   50 IF( dx(i) .EQ. ZERO) GO TO 200                                    
     1
Warning: Label 50 at (1) defined but not used
scipy/optimize/slsqp/slsqp_optmz.f:859.49:
      CALL hfti (w(ie),me,me,l,w(IF),k,1,t,krank,xnrm,w,w(l+1),jw)      
                                                 1
Warning: Rank mismatch in argument 'rnorm' at (1) (rank-1 and scalar)
scipy/optimize/slsqp/slsqp_optmz.f:600.54:
      INTEGER          jw(*),i,ic,id,ie,IF,ig,ih,il,im,ip,iu,iw,        
                                                      1
Warning: Unused variable 'im' declared at (1)
scipy/optimize/slsqp/slsqp_optmz.f:600.60:
      INTEGER          jw(*),i,ic,id,ie,IF,ig,ih,il,im,ip,iu,iw,        
                                                            1
Warning: Unused variable 'iu' declared at (1)
scipy/optimize/slsqp/slsqp_optmz.f: In function 'ldl':
scipy/optimize/slsqp/slsqp_optmz.f:1544:0: warning: 'tp' may be used uninitialized in this function [-Wmaybe-uninitialized]
           alpha=tp/t
 ^
scipy/optimize/slsqp/slsqp_optmz.f: In function 'dnrm2_':
scipy/optimize/slsqp/slsqp_optmz.f:1994:0: warning: 'xmax' may be used uninitialized in this function [-Wmaybe-uninitialized]
   110 IF( ABS(dx(i)) .LE. xmax ) GO TO 115
 ^
scipy/optimize/slsqp/slsqp_optmz.f: In function 'linmin':
scipy/optimize/slsqp/slsqp_optmz.f:1649:0: warning: 'e' may be used uninitialized in this function [-Wmaybe-uninitialized]
       IF (ABS(e) .LE. tol1) GOTO 30
 ^
scipy/optimize/slsqp/slsqp_optmz.f:1674:0: warning: 'u' may be used uninitialized in this function [-Wmaybe-uninitialized]
       IF (u - a .LT. tol2) d = SIGN(tol1, m - x)
 ^
scipy/optimize/slsqp/slsqp_optmz.f:1695:0: warning: 'fx' may be used uninitialized in this function [-Wmaybe-uninitialized]
       IF (fu .GT. fx) GOTO 60
 ^
scipy/optimize/slsqp/slsqp_optmz.f:1696:0: warning: 'x' may be used uninitialized in this function [-Wmaybe-uninitialized]
       IF (u .GE. x) a = x
 ^
scipy/optimize/slsqp/slsqp_optmz.f:1707:0: warning: 'fw' may be used uninitialized in this function [-Wmaybe-uninitialized]
       IF (fu .LE. fw .OR. w .EQ. x) GOTO 70
 ^
scipy/optimize/slsqp/slsqp_optmz.f:1707:0: warning: 'w' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/optimize/slsqp/slsqp_optmz.f:1708:0: warning: 'fv' may be used uninitialized in this function [-Wmaybe-uninitialized]
       IF (fu .LE. fv .OR. v .EQ. x .OR. v .EQ. w) GOTO 80
 ^
scipy/optimize/slsqp/slsqp_optmz.f:1708:0: warning: 'v' may be used uninitialized in this function [-Wmaybe-uninitialized]
scipy/optimize/slsqp/slsqp_optmz.f:1675:0: warning: 'b' may be used uninitialized in this function [-Wmaybe-uninitialized]
       IF (b - u .LT. tol2) d = SIGN(tol1, m - x)
 ^
scipy/optimize/slsqp/slsqp_optmz.f:1639:0: warning: 'a' may be used uninitialized in this function [-Wmaybe-uninitialized]
    20 m = 0.5d0*(a + b)
 ^
scipy/optimize/slsqp/slsqp_optmz.f: In function 'nnls':
scipy/optimize/slsqp/slsqp_optmz.f:1115:0: warning: 'izmax' may be used uninitialized in this function [-Wmaybe-uninitialized]
       INTEGER          i,ii,ip,iter,itmax,iz,izmax,iz1,iz2,j,jj,jz,
 ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/optimize/slsqp/_slsqpmodule.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o build/temp.linux-x86_64-2.7/scipy/optimize/slsqp/slsqp_optmz.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/optimize/_slsqp.so
building 'scipy.optimize._nnls' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/optimize/nnls
compile options: '-DNPY_NO_DEPRECATED_API=NPY_1_9_API_VERSION -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/fortranobject.c
gcc: build/src.linux-x86_64-2.7/scipy/optimize/nnls/_nnlsmodule.c
build/src.linux-x86_64-2.7/scipy/optimize/nnls/_nnlsmodule.c:112:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7/scipy/optimize/nnls
compile options: '-DNPY_NO_DEPRECATED_API=NPY_1_9_API_VERSION -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gfortran:f77: scipy/optimize/nnls/nnls.f
scipy/optimize/nnls/nnls.f:121.44:
      CALL H12 (1,NPP1,NPP1+1,M,A(1,J),1,UP,DUMMY,1,1,0)                
                                            1
Warning: Rank mismatch in argument 'c' at (1) (rank-1 and scalar)
scipy/optimize/nnls/nnls.f: In function 'nnls':
scipy/optimize/nnls/nnls.f:52:0: warning: 'izmax' may be used uninitialized in this function [-Wmaybe-uninitialized]
       integer I, II, IP, ITER, ITMAX, IZ, IZ1, IZ2, IZMAX, J, JJ, JZ, L
 ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/optimize/nnls/_nnlsmodule.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o build/temp.linux-x86_64-2.7/scipy/optimize/nnls/nnls.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/optimize/_nnls.so
building 'scipy.optimize._group_columns' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/optimize/_group_columns.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/optimize/_group_columns.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/optimize/_group_columns.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/optimize/_group_columns.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/optimize/_group_columns.so
building 'scipy.optimize._lsq.givens_elimination' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/scipy/optimize/_lsq
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/optimize/_lsq/givens_elimination.c
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/optimize/_lsq/givens_elimination.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/optimize/_lsq/givens_elimination.so
building 'scipy.signal.sigtools' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/scipy/signal
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/signal
compile options: '-DNPY_NO_DEPRECATED_API=NPY_1_9_API_VERSION -Iscipy/signal -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/signal/sigtoolsmodule.c
gcc: build/src.linux-x86_64-2.7/scipy/signal/lfilter.c
scipy/signal/lfilter.c.src: In function 'scipy_signal_sigtools_linear_filter':
scipy/signal/lfilter.c.src:286:13: warning: passing argument 2 of '(int (*)(struct PyArrayObject *, struct PyObject *))*(_scipy_signal_ARRAY_API + 2256u)' from incompatible pointer type [enabled by default]
             if (PyArray_SetBaseObject(arVi_view, arVi) == -1) {
             ^
scipy/signal/lfilter.c.src:286:13: note: expected 'struct PyObject *' but argument is of type 'struct PyArrayObject *'
gcc: scipy/signal/medianfilter.c
gcc: scipy/signal/firfilter.c
gcc: build/src.linux-x86_64-2.7/scipy/signal/correlate_nd.c
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/signal/sigtoolsmodule.o build/temp.linux-x86_64-2.7/scipy/signal/firfilter.o build/temp.linux-x86_64-2.7/scipy/signal/medianfilter.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/signal/lfilter.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/signal/correlate_nd.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/signal/sigtools.so
building 'scipy.signal._spectral' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/signal/_spectral.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/signal/_spectral.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/signal/_spectral.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/signal/_spectral.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/signal/_spectral.so
building 'scipy.signal._max_len_seq_inner' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/signal/_max_len_seq_inner.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/signal/_max_len_seq_inner.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/signal/_max_len_seq_inner.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/signal/_max_len_seq_inner.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/signal/_max_len_seq_inner.so
building 'scipy.signal._upfirdn_apply' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/signal/_upfirdn_apply.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/signal/_upfirdn_apply.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/signal/_upfirdn_apply.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/signal/_upfirdn_apply.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/signal/_upfirdn_apply.so
building 'scipy.signal.spline' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-DNPY_NO_DEPRECATED_API=NPY_1_9_API_VERSION -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/signal/C_bspline_util.c
gcc: scipy/signal/splinemodule.c
gcc: scipy/signal/S_bspline_util.c
gcc: scipy/signal/Z_bspline_util.c
gcc: scipy/signal/D_bspline_util.c
gcc: scipy/signal/bspline_util.c
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/signal/splinemodule.o build/temp.linux-x86_64-2.7/scipy/signal/S_bspline_util.o build/temp.linux-x86_64-2.7/scipy/signal/D_bspline_util.o build/temp.linux-x86_64-2.7/scipy/signal/C_bspline_util.o build/temp.linux-x86_64-2.7/scipy/signal/Z_bspline_util.o build/temp.linux-x86_64-2.7/scipy/signal/bspline_util.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/signal/spline.so
building 'scipy.sparse.linalg.isolve._iterative' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/_iterativemodule.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/_iterativemodule.c:19:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/_iterativemodule.c:154:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
gcc: build/src.linux-x86_64-2.7/fortranobject.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/fortranobject.c:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gfortran:f77: build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/STOPTEST2.f
gfortran:f77: build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/getbreak.f
gfortran:f77: build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/BiCGREVCOM.f
gfortran:f77: build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/BiCGSTABREVCOM.f
gfortran:f77: build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/CGREVCOM.f
gfortran:f77: build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/CGSREVCOM.f
gfortran:f77: build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/GMRESREVCOM.f
build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/GMRESREVCOM.f:2260.37:
     $     FUNCTION dzAPPROXRES( I, H, S, GIVENS, LDG )                 
                                     1
Warning: Unused dummy argument 'h' at (1)
build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/GMRESREVCOM.f:1666.38:
     $     FUNCTION wscAPPROXRES( I, H, S, GIVENS, LDG )                
                                      1
Warning: Unused dummy argument 'h' at (1)
build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/GMRESREVCOM.f:1072.36:
     $     FUNCTION dAPPROXRES( I, H, S, GIVENS, LDG )                  
                                    1
Warning: Unused dummy argument 'h' at (1)
build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/GMRESREVCOM.f:478.37:
     $     FUNCTION wsAPPROXRES( I, H, S, GIVENS, LDG )                 
                                     1
Warning: Unused dummy argument 'h' at (1)
gfortran:f77: build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/QMRREVCOM.f
gfortran:f77: /builddir/build/BUILD/scipy-0.18.0/scipy/_build_utils/src/wrap_dummy_g77_abi.f
gfortran:f77: /builddir/build/BUILD/scipy-0.18.0/scipy/_build_utils/src/wrap_dummy_accelerate.f
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/_iterativemodule.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/STOPTEST2.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/getbreak.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/BiCGREVCOM.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/BiCGSTABREVCOM.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/CGREVCOM.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/CGSREVCOM.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/GMRESREVCOM.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative/QMRREVCOM.o build/temp.linux-x86_64-2.7/builddir/build/BUILD/scipy-0.18.0/scipy/_build_utils/src/wrap_dummy_g77_abi.o build/temp.linux-x86_64-2.7/builddir/build/BUILD/scipy-0.18.0/scipy/_build_utils/src/wrap_dummy_accelerate.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/sparse/linalg/isolve/_iterative.so
building 'scipy.sparse.linalg.dsolve._superlu' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-DNPY_NO_DEPRECATED_API=NPY_1_9_API_VERSION -DATLAS_INFO="\"3.10.1\"" -DUSE_VENDOR_BLAS=1 -I/usr/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/sparse/linalg/dsolve/_superlu_utils.c
In file included from scipy/sparse/linalg/dsolve/_superlu_utils.c:8:0:
scipy/sparse/linalg/dsolve/_superluobject.h:154:19: warning: 'gstrf' defined but not used [-Wunused-function]
 TYPE_GENERIC_FUNC(gstrf, void);
                   ^
scipy/sparse/linalg/dsolve/_superluobject.h:95:23: note: in definition of macro 'TYPE_GENERIC_FUNC'
     static returntype name(int type, name##_ARGS)          \
                       ^
scipy/sparse/linalg/dsolve/_superluobject.h:155:19: warning: 'gsitrf' defined but not used [-Wunused-function]
 TYPE_GENERIC_FUNC(gsitrf, void);
                   ^
scipy/sparse/linalg/dsolve/_superluobject.h:95:23: note: in definition of macro 'TYPE_GENERIC_FUNC'
     static returntype name(int type, name##_ARGS)          \
                       ^
scipy/sparse/linalg/dsolve/_superluobject.h:156:19: warning: 'gstrs' defined but not used [-Wunused-function]
 TYPE_GENERIC_FUNC(gstrs, void);
                   ^
scipy/sparse/linalg/dsolve/_superluobject.h:95:23: note: in definition of macro 'TYPE_GENERIC_FUNC'
     static returntype name(int type, name##_ARGS)          \
                       ^
scipy/sparse/linalg/dsolve/_superluobject.h:157:19: warning: 'gssv' defined but not used [-Wunused-function]
 TYPE_GENERIC_FUNC(gssv, void);
                   ^
scipy/sparse/linalg/dsolve/_superluobject.h:95:23: note: in definition of macro 'TYPE_GENERIC_FUNC'
     static returntype name(int type, name##_ARGS)          \
                       ^
scipy/sparse/linalg/dsolve/_superluobject.h:158:19: warning: 'Create_Dense_Matrix' defined but not used [-Wunused-function]
 TYPE_GENERIC_FUNC(Create_Dense_Matrix, void);
                   ^
scipy/sparse/linalg/dsolve/_superluobject.h:95:23: note: in definition of macro 'TYPE_GENERIC_FUNC'
     static returntype name(int type, name##_ARGS)          \
                       ^
scipy/sparse/linalg/dsolve/_superluobject.h:159:19: warning: 'Create_CompRow_Matrix' defined but not used [-Wunused-function]
 TYPE_GENERIC_FUNC(Create_CompRow_Matrix, void);
                   ^
scipy/sparse/linalg/dsolve/_superluobject.h:95:23: note: in definition of macro 'TYPE_GENERIC_FUNC'
     static returntype name(int type, name##_ARGS)          \
                       ^
scipy/sparse/linalg/dsolve/_superluobject.h:160:19: warning: 'Create_CompCol_Matrix' defined but not used [-Wunused-function]
 TYPE_GENERIC_FUNC(Create_CompCol_Matrix, void);
                   ^
scipy/sparse/linalg/dsolve/_superluobject.h:95:23: note: in definition of macro 'TYPE_GENERIC_FUNC'
     static returntype name(int type, name##_ARGS)          \
                       ^
gcc: scipy/sparse/linalg/dsolve/_superluobject.c
scipy/sparse/linalg/dsolve/_superluobject.c:224:1: warning: missing braces around initializer [-Wmissing-braces]
 };
 ^
scipy/sparse/linalg/dsolve/_superluobject.c:224:1: warning: (near initialization for 'SuperLU_getset[6]') [-Wmissing-braces]
scipy/sparse/linalg/dsolve/_superluobject.c: In function 'droprule_one_cvt':
scipy/sparse/linalg/dsolve/_superluobject.c:822:10: warning: variable 'i' set but not used [-Wunused-but-set-variable]
     long i = -1;                                \
          ^
scipy/sparse/linalg/dsolve/_superluobject.c:977:5: note: in expansion of macro 'ENUM_CHECK_INIT'
     ENUM_CHECK_INIT;
     ^
In file included from scipy/sparse/linalg/dsolve/_superluobject.c:13:0:
scipy/sparse/linalg/dsolve/_superluobject.c: At top level:
scipy/sparse/linalg/dsolve/_superluobject.h:157:19: warning: 'gssv' defined but not used [-Wunused-function]
 TYPE_GENERIC_FUNC(gssv, void);
                   ^
scipy/sparse/linalg/dsolve/_superluobject.h:95:23: note: in definition of macro 'TYPE_GENERIC_FUNC'
     static returntype name(int type, name##_ARGS)          \
                       ^
gcc: scipy/sparse/linalg/dsolve/_superlumodule.c
In file included from scipy/sparse/linalg/dsolve/_superlumodule.c:19:0:
scipy/sparse/linalg/dsolve/_superluobject.h:154:19: warning: 'gstrf' defined but not used [-Wunused-function]
 TYPE_GENERIC_FUNC(gstrf, void);
                   ^
scipy/sparse/linalg/dsolve/_superluobject.h:95:23: note: in definition of macro 'TYPE_GENERIC_FUNC'
     static returntype name(int type, name##_ARGS)          \
                       ^
scipy/sparse/linalg/dsolve/_superluobject.h:155:19: warning: 'gsitrf' defined but not used [-Wunused-function]
 TYPE_GENERIC_FUNC(gsitrf, void);
                   ^
scipy/sparse/linalg/dsolve/_superluobject.h:95:23: note: in definition of macro 'TYPE_GENERIC_FUNC'
     static returntype name(int type, name##_ARGS)          \
                       ^
scipy/sparse/linalg/dsolve/_superluobject.h:156:19: warning: 'gstrs' defined but not used [-Wunused-function]
 TYPE_GENERIC_FUNC(gstrs, void);
                   ^
scipy/sparse/linalg/dsolve/_superluobject.h:95:23: note: in definition of macro 'TYPE_GENERIC_FUNC'
     static returntype name(int type, name##_ARGS)          \
                       ^
scipy/sparse/linalg/dsolve/_superluobject.h:158:19: warning: 'Create_Dense_Matrix' defined but not used [-Wunused-function]
 TYPE_GENERIC_FUNC(Create_Dense_Matrix, void);
                   ^
scipy/sparse/linalg/dsolve/_superluobject.h:95:23: note: in definition of macro 'TYPE_GENERIC_FUNC'
     static returntype name(int type, name##_ARGS)          \
                       ^
scipy/sparse/linalg/dsolve/_superluobject.h:159:19: warning: 'Create_CompRow_Matrix' defined but not used [-Wunused-function]
 TYPE_GENERIC_FUNC(Create_CompRow_Matrix, void);
                   ^
scipy/sparse/linalg/dsolve/_superluobject.h:95:23: note: in definition of macro 'TYPE_GENERIC_FUNC'
     static returntype name(int type, name##_ARGS)          \
                       ^
scipy/sparse/linalg/dsolve/_superluobject.h:160:19: warning: 'Create_CompCol_Matrix' defined but not used [-Wunused-function]
 TYPE_GENERIC_FUNC(Create_CompCol_Matrix, void);
                   ^
scipy/sparse/linalg/dsolve/_superluobject.h:95:23: note: in definition of macro 'TYPE_GENERIC_FUNC'
     static returntype name(int type, name##_ARGS)          \
                       ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/scipy/sparse/linalg/dsolve/_superlumodule.o build/temp.linux-x86_64-2.7/scipy/sparse/linalg/dsolve/_superlu_utils.o build/temp.linux-x86_64-2.7/scipy/sparse/linalg/dsolve/_superluobject.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -lsuperlu_src -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/sparse/linalg/dsolve/_superlu.so
building 'scipy.sparse.linalg.eigen.arpack._arpack' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/eigen
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/_arpackmodule.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/_arpackmodule.c:19:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/_arpackmodule.c:263:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
gcc: build/src.linux-x86_64-2.7/fortranobject.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/fortranobject.c:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gfortran:f77: build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/_arpack-f2pywrappers.f
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/_arpackmodule.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/_arpack-f2pywrappers.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -larpack_scipy -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/_arpack.so
building 'scipy.sparse.csgraph._shortest_path' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/scipy/sparse/csgraph
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/sparse/csgraph/_shortest_path.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/sparse/csgraph/_shortest_path.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/sparse/csgraph/_shortest_path.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/sparse/csgraph/_shortest_path.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/sparse/csgraph/_shortest_path.so
building 'scipy.sparse.csgraph._traversal' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/sparse/csgraph/_traversal.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/sparse/csgraph/_traversal.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/sparse/csgraph/_traversal.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/sparse/csgraph/_traversal.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/sparse/csgraph/_traversal.so
building 'scipy.sparse.csgraph._min_spanning_tree' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/sparse/csgraph/_min_spanning_tree.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/sparse/csgraph/_min_spanning_tree.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/sparse/csgraph/_min_spanning_tree.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/sparse/csgraph/_min_spanning_tree.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/sparse/csgraph/_min_spanning_tree.so
building 'scipy.sparse.csgraph._reordering' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/sparse/csgraph/_reordering.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/sparse/csgraph/_reordering.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/sparse/csgraph/_reordering.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/sparse/csgraph/_reordering.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/sparse/csgraph/_reordering.so
building 'scipy.sparse.csgraph._tools' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/sparse/csgraph/_tools.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/sparse/csgraph/_tools.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/sparse/csgraph/_tools.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/sparse/csgraph/_tools.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/sparse/csgraph/_tools.so
building 'scipy.sparse._csparsetools' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/sparse/_csparsetools.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/sparse/_csparsetools.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/sparse/_csparsetools.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/sparse/_csparsetools.so
building 'scipy.sparse._sparsetools' extension
compiling C++ sources
C compiler: g++ -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/scipy/sparse/sparsetools
compile options: '-D__STDC_FORMAT_MACROS=1 -Iscipy/sparse/sparsetools -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
g++: scipy/sparse/sparsetools/sparsetools.cxx
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from scipy/sparse/sparsetools/sparsetools.cxx:34:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
g++: scipy/sparse/sparsetools/csr.cxx
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from scipy/sparse/sparsetools/sparsetools.h:5,
                 from scipy/sparse/sparsetools/csr.cxx:4:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
g++: scipy/sparse/sparsetools/bsr.cxx
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from scipy/sparse/sparsetools/sparsetools.h:5,
                 from scipy/sparse/sparsetools/bsr.cxx:4:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
g++: scipy/sparse/sparsetools/csc.cxx
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from scipy/sparse/sparsetools/sparsetools.h:5,
                 from scipy/sparse/sparsetools/csc.cxx:4:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
g++: scipy/sparse/sparsetools/other.cxx
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from scipy/sparse/sparsetools/sparsetools.h:5,
                 from scipy/sparse/sparsetools/other.cxx:4:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
g++ -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/sparse/sparsetools/sparsetools.o build/temp.linux-x86_64-2.7/scipy/sparse/sparsetools/csr.o build/temp.linux-x86_64-2.7/scipy/sparse/sparsetools/csc.o build/temp.linux-x86_64-2.7/scipy/sparse/sparsetools/bsr.o build/temp.linux-x86_64-2.7/scipy/sparse/sparsetools/other.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/sparse/_sparsetools.so
building 'scipy.spatial.qhull' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/scipy/spatial
creating build/temp.linux-x86_64-2.7/scipy/spatial/qhull
creating build/temp.linux-x86_64-2.7/scipy/spatial/qhull/src
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -I/usr/include/python2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/spatial/qhull/src/userprintf_r.c
gcc: scipy/spatial/qhull/src/random_r.c
gcc: scipy/spatial/qhull/src/libqhull_r.c
gcc: scipy/spatial/qhull/src/mem_r.c
gcc: scipy/spatial/qhull/src/global_r.c
gcc: scipy/spatial/qhull/src/user_r.c
gcc: scipy/spatial/qhull/src/geom2_r.c
gcc: scipy/spatial/qhull.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from scipy/spatial/qhull.c:239:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
scipy/spatial/qhull.c: In function '__pyx_pf_5scipy_7spatial_5qhull_6_Qhull_20get_voronoi_diagram':
scipy/spatial/qhull.c:8897:3: warning: passing argument 3 of 'qh_eachvoronoi_all' from incompatible pointer type [enabled by default]
   qh_eachvoronoi_all(__pyx_v_self->_qh, ((void *)__pyx_v_self), (&__pyx_f_5scipy_7spatial_5qhull__visit_voronoi), (__pyx_v_self->_qh[0]).UPPERdelaunay, qh_RIDGEall, 1);
   ^
In file included from scipy/spatial/qhull.c:251:0:
scipy/spatial/qhull/src/io_r.h:94:9: note: expected 'printvridgeT' but argument is of type 'void (*)(struct qhT *, void *, struct vertexT *, struct vertexT *, struct setT *, unsigned int)'
 int     qh_eachvoronoi_all(qhT *qh, FILE *fp, printvridgeT printvridge, boolT isUpper, qh_RIDGE innerouter, boolT inorder);
         ^
scipy/spatial/qhull.c: In function '__pyx_pf_5scipy_7spatial_5qhull__get_barycentric_transforms':
scipy/spatial/qhull.c:11996:11: warning: implicit declaration of function 'dgetrf_' [-Wimplicit-function-declaration]
           qh_dgetrf((&__pyx_v_n), (&__pyx_v_n), ((double *)__pyx_v_T->data), (&__pyx_v_lda), __pyx_v_ipiv, (&__pyx_v_info));
           ^
scipy/spatial/qhull.c:12015:13: warning: implicit declaration of function 'dgecon_' [-Wimplicit-function-declaration]
             qh_dgecon(__pyx_k_1, (&__pyx_v_n), ((double *)__pyx_v_T->data), (&__pyx_v_lda), (&__pyx_v_anorm), (&__pyx_v_rcond), __pyx_v_work, __pyx_v_iwork, (&__pyx_v_info));
             ^
scipy/spatial/qhull.c:12071:13: warning: implicit declaration of function 'dgetrs_' [-Wimplicit-function-declaration]
             qh_dgetrs(__pyx_k_N, (&__pyx_v_n), (&__pyx_v_nrhs), ((double *)__pyx_v_T->data), (&__pyx_v_lda), __pyx_v_ipiv, (((double *)__pyx_v_Tinvs->data) + ((__pyx_v_ndim * (__pyx_v_ndim + 1)) * __pyx_v_isimplex)), (&__pyx_v_ldb), (&__pyx_v_info));
             ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from scipy/spatial/qhull.c:239:
scipy/spatial/qhull.c: At top level:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
gcc: scipy/spatial/qhull/src/stat_r.c
gcc: scipy/spatial/qhull/src/qset_r.c
scipy/spatial/qhull/src/qset_r.c: In function 'qh_setfree':
scipy/spatial/qhull/src/qset_r.c:718:10: warning: variable 'freelistp' set but not used [-Wunused-but-set-variable]
   void **freelistp;  /* used if !qh_NOmem by qh_memfree_() */
          ^
scipy/spatial/qhull/src/qset_r.c: In function 'qh_setnew':
scipy/spatial/qhull/src/qset_r.c:928:10: warning: variable 'freelistp' set but not used [-Wunused-but-set-variable]
   void **freelistp; /* used if !qh_NOmem by qh_memalloc_() */
          ^
gcc: scipy/spatial/qhull/src/poly_r.c
scipy/spatial/qhull/src/poly_r.c: In function 'qh_delfacet':
scipy/spatial/qhull/src/poly_r.c:248:10: warning: variable 'freelistp' set but not used [-Wunused-but-set-variable]
   void **freelistp; /* used if !qh_NOmem by qh_memfree_() */
          ^
scipy/spatial/qhull/src/poly_r.c: In function 'qh_makenew_nonsimplicial':
scipy/spatial/qhull/src/poly_r.c:564:10: warning: variable 'freelistp' set but not used [-Wunused-but-set-variable]
   void **freelistp; /* used if !qh_NOmem by qh_memfree_() */
          ^
scipy/spatial/qhull/src/poly_r.c: In function 'qh_newfacet':
scipy/spatial/qhull/src/poly_r.c:987:10: warning: variable 'freelistp' set but not used [-Wunused-but-set-variable]
   void **freelistp; /* used if !qh_NOmem by qh_memalloc_() */
          ^
scipy/spatial/qhull/src/poly_r.c: In function 'qh_newridge':
scipy/spatial/qhull/src/poly_r.c:1020:10: warning: variable 'freelistp' set but not used [-Wunused-but-set-variable]
   void **freelistp;   /* used if !qh_NOmem by qh_memalloc_() */
          ^
gcc: scipy/spatial/qhull/src/poly2_r.c
scipy/spatial/qhull/src/poly2_r.c: In function 'qh_delridge':
scipy/spatial/qhull/src/poly2_r.c:1127:10: warning: variable 'freelistp' set but not used [-Wunused-but-set-variable]
   void **freelistp; /* used if !qh_NOmem by qh_memfree_() */
          ^
gcc: scipy/spatial/qhull/src/io_r.c
gcc: scipy/spatial/qhull/src/usermem_r.c
gcc: scipy/spatial/qhull/src/geom_r.c
scipy/spatial/qhull/src/geom_r.c: In function 'qh_projectpoint':
scipy/spatial/qhull/src/geom_r.c:897:10: warning: variable 'freelistp' set but not used [-Wunused-but-set-variable]
   void **freelistp; /* used if !qh_NOmem by qh_memalloc_() */
          ^
scipy/spatial/qhull/src/geom_r.c: In function 'qh_setfacetplane':
scipy/spatial/qhull/src/geom_r.c:935:10: warning: variable 'freelistp' set but not used [-Wunused-but-set-variable]
   void **freelistp; /* used if !qh_NOmem by qh_memalloc_() */
          ^
gcc: scipy/spatial/qhull/src/rboxlib_r.c
gcc: scipy/spatial/qhull/src/merge_r.c
scipy/spatial/qhull/src/merge_r.c: In function 'qh_all_merges':
scipy/spatial/qhull/src/merge_r.c:219:10: warning: variable 'freelistp' set but not used [-Wunused-but-set-variable]
   void **freelistp;  /* used if !qh_NOmem by qh_memfree_() */
          ^
scipy/spatial/qhull/src/merge_r.c: In function 'qh_appendmergeset':
scipy/spatial/qhull/src/merge_r.c:322:10: warning: variable 'freelistp' set but not used [-Wunused-but-set-variable]
   void **freelistp; /* used if !qh_NOmem by qh_memalloc_() */
          ^
scipy/spatial/qhull/src/merge_r.c: In function 'qh_mergecycle_ridges':
scipy/spatial/qhull/src/merge_r.c:2090:10: warning: variable 'freelistp' set but not used [-Wunused-but-set-variable]
   void **freelistp; /* used if !qh_NOmem by qh_memfree_() */
          ^
gcc: scipy/spatial/qhull/src/userprintf_rbox_r.c
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/scipy/spatial/qhull.o build/temp.linux-x86_64-2.7/scipy/spatial/qhull/src/random_r.o build/temp.linux-x86_64-2.7/scipy/spatial/qhull/src/global_r.o build/temp.linux-x86_64-2.7/scipy/spatial/qhull/src/rboxlib_r.o build/temp.linux-x86_64-2.7/scipy/spatial/qhull/src/qset_r.o build/temp.linux-x86_64-2.7/scipy/spatial/qhull/src/stat_r.o build/temp.linux-x86_64-2.7/scipy/spatial/qhull/src/poly2_r.o build/temp.linux-x86_64-2.7/scipy/spatial/qhull/src/usermem_r.o build/temp.linux-x86_64-2.7/scipy/spatial/qhull/src/userprintf_rbox_r.o build/temp.linux-x86_64-2.7/scipy/spatial/qhull/src/io_r.o build/temp.linux-x86_64-2.7/scipy/spatial/qhull/src/userprintf_r.o build/temp.linux-x86_64-2.7/scipy/spatial/qhull/src/geom_r.o build/temp.linux-x86_64-2.7/scipy/spatial/qhull/src/poly_r.o build/temp.linux-x86_64-2.7/scipy/spatial/qhull/src/mem_r.o build/temp.linux-x86_64-2.7/scipy/spatial/qhull/src/user_r.o build/temp.linux-x86_64-2.7/scipy/spatial/qhull/src/merge_r.o build/temp.linux-x86_64-2.7/scipy/spatial/qhull/src/libqhull_r.o build/temp.linux-x86_64-2.7/scipy/spatial/qhull/src/geom2_r.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/spatial/qhull.so
building 'scipy.spatial.ckdtree' extension
compiling C++ sources
C compiler: g++ -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/scipy/spatial/ckdtree
creating build/temp.linux-x86_64-2.7/scipy/spatial/ckdtree/src
compile options: '-I/usr/include/python2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -Iscipy/spatial/ckdtree/src -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
g++: scipy/spatial/ckdtree/src/query_ball_point.cxx
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/spatial/ckdtree/src/query_ball_point.cxx:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/spatial/ckdtree/src/query_ball_point.cxx:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: 'int _import_array()' defined but not used [-Wunused-function]
 _import_array(void)
 ^
g++: scipy/spatial/ckdtree/src/query_ball_tree.cxx
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/spatial/ckdtree/src/query_ball_tree.cxx:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/spatial/ckdtree/src/query_ball_tree.cxx:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: 'int _import_array()' defined but not used [-Wunused-function]
 _import_array(void)
 ^
g++: scipy/spatial/ckdtree/src/count_neighbors.cxx
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/spatial/ckdtree/src/count_neighbors.cxx:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/spatial/ckdtree/src/count_neighbors.cxx:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: 'int _import_array()' defined but not used [-Wunused-function]
 _import_array(void)
 ^
g++: scipy/spatial/ckdtree/src/globals.cxx
g++: scipy/spatial/ckdtree/src/build.cxx
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/spatial/ckdtree/src/build.cxx:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/spatial/ckdtree/src/build.cxx:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: 'int _import_array()' defined but not used [-Wunused-function]
 _import_array(void)
 ^
g++: scipy/spatial/ckdtree/src/cpp_exc.cxx
In file included from /usr/include/python2.7/pyconfig.h:6:0,
                 from /usr/include/python2.7/Python.h:8,
                 from scipy/spatial/ckdtree/src/cpp_exc.cxx:12:
/usr/include/python2.7/pyconfig-64.h:1188:0: warning: "_POSIX_C_SOURCE" redefined [enabled by default]
 #define _POSIX_C_SOURCE 200112L
 ^
In file included from /usr/include/c++/4.8.2/x86_64-redhat-linux/bits/os_defines.h:39:0,
                 from /usr/include/c++/4.8.2/x86_64-redhat-linux/bits/c++config.h:2097,
                 from /usr/include/c++/4.8.2/new:39,
                 from scipy/spatial/ckdtree/src/cpp_exc.cxx:7:
/usr/include/features.h:168:0: note: this is the location of the previous definition
 # define _POSIX_C_SOURCE 200809L
 ^
In file included from /usr/include/python2.7/pyconfig.h:6:0,
                 from /usr/include/python2.7/Python.h:8,
                 from scipy/spatial/ckdtree/src/cpp_exc.cxx:12:
/usr/include/python2.7/pyconfig-64.h:1210:0: warning: "_XOPEN_SOURCE" redefined [enabled by default]
 #define _XOPEN_SOURCE 600
 ^
In file included from /usr/include/c++/4.8.2/x86_64-redhat-linux/bits/os_defines.h:39:0,
                 from /usr/include/c++/4.8.2/x86_64-redhat-linux/bits/c++config.h:2097,
                 from /usr/include/c++/4.8.2/new:39,
                 from scipy/spatial/ckdtree/src/cpp_exc.cxx:7:
/usr/include/features.h:170:0: note: this is the location of the previous definition
 # define _XOPEN_SOURCE 700
 ^
g++: scipy/spatial/ckdtree/src/query.cxx
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/spatial/ckdtree/src/query.cxx:9:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/spatial/ckdtree/src/query.cxx:9:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: 'int _import_array()' defined but not used [-Wunused-function]
 _import_array(void)
 ^
g++: scipy/spatial/ckdtree/src/sparse_distances.cxx
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/spatial/ckdtree/src/sparse_distances.cxx:3:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/spatial/ckdtree/src/sparse_distances.cxx:3:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: 'int _import_array()' defined but not used [-Wunused-function]
 _import_array(void)
 ^
g++: scipy/spatial/ckdtree.cxx
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/spatial/ckdtree.cxx:251:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/spatial/ckdtree.cxx:251:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: 'int _import_array()' defined but not used [-Wunused-function]
 _import_array(void)
 ^
g++: scipy/spatial/ckdtree/src/query_pairs.cxx
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/spatial/ckdtree/src/query_pairs.cxx:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/spatial/ckdtree/src/query_pairs.cxx:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: 'int _import_array()' defined but not used [-Wunused-function]
 _import_array(void)
 ^
g++ -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/spatial/ckdtree.o build/temp.linux-x86_64-2.7/scipy/spatial/ckdtree/src/query.o build/temp.linux-x86_64-2.7/scipy/spatial/ckdtree/src/build.o build/temp.linux-x86_64-2.7/scipy/spatial/ckdtree/src/globals.o build/temp.linux-x86_64-2.7/scipy/spatial/ckdtree/src/cpp_exc.o build/temp.linux-x86_64-2.7/scipy/spatial/ckdtree/src/query_pairs.o build/temp.linux-x86_64-2.7/scipy/spatial/ckdtree/src/count_neighbors.o build/temp.linux-x86_64-2.7/scipy/spatial/ckdtree/src/query_ball_point.o build/temp.linux-x86_64-2.7/scipy/spatial/ckdtree/src/query_ball_tree.o build/temp.linux-x86_64-2.7/scipy/spatial/ckdtree/src/sparse_distances.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/spatial/ckdtree.so
building 'scipy.spatial._distance_wrap' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/scipy/spatial/src
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/spatial/src/distance_wrap.c
In file included from /usr/include/python2.7/pyconfig.h:6:0,
                 from /usr/include/python2.7/Python.h:8,
                 from scipy/spatial/src/distance_wrap.c:48:
/usr/include/python2.7/pyconfig-64.h:1188:0: warning: "_POSIX_C_SOURCE" redefined [enabled by default]
 #define _POSIX_C_SOURCE 200112L
 ^
In file included from /usr/include/math.h:27:0,
                 from scipy/spatial/src/distance_wrap.c:46:
/usr/include/features.h:168:0: note: this is the location of the previous definition
 # define _POSIX_C_SOURCE 200809L
 ^
In file included from /usr/include/python2.7/pyconfig.h:6:0,
                 from /usr/include/python2.7/Python.h:8,
                 from scipy/spatial/src/distance_wrap.c:48:
/usr/include/python2.7/pyconfig-64.h:1210:0: warning: "_XOPEN_SOURCE" redefined [enabled by default]
 #define _XOPEN_SOURCE 600
 ^
In file included from /usr/include/math.h:27:0,
                 from scipy/spatial/src/distance_wrap.c:46:
/usr/include/features.h:170:0: note: this is the location of the previous definition
 # define _XOPEN_SOURCE 700
 ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/spatial/src/distance_wrap.c:49:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/spatial/src/distance_wrap.o -L/usr/lib64/python2.7/site-packages/numpy/core/lib -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lnpymath -lm -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/spatial/_distance_wrap.so
building 'scipy.special.specfun' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/special
compile options: '-Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/fortranobject.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/fortranobject.c:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc: build/src.linux-x86_64-2.7/scipy/special/specfunmodule.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/scipy/special/specfunmodule.c:19:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
build/src.linux-x86_64-2.7/scipy/special/specfunmodule.c:113:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/special/specfunmodule.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lsc_specfun -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/special/specfun.so
building 'scipy.special._ufuncs' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -I/builddir/build/BUILD/scipy-0.18.0/scipy/special -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -I/builddir/build/BUILD/scipy-0.18.0/scipy/special/c_misc -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/special/amos_wrappers.c
gcc: scipy/special/specfun_wrappers.c
gcc: scipy/special/sf_error.c
In file included from /usr/include/python2.7/pyconfig.h:6:0,
                 from /usr/include/python2.7/Python.h:8,
                 from scipy/special/sf_error.c:4:
/usr/include/python2.7/pyconfig-64.h:1188:0: warning: "_POSIX_C_SOURCE" redefined [enabled by default]
 #define _POSIX_C_SOURCE 200112L
 ^
In file included from /usr/include/stdlib.h:24:0,
                 from scipy/special/sf_error.c:1:
/usr/include/features.h:168:0: note: this is the location of the previous definition
 # define _POSIX_C_SOURCE 200809L
 ^
In file included from /usr/include/python2.7/pyconfig.h:6:0,
                 from /usr/include/python2.7/Python.h:8,
                 from scipy/special/sf_error.c:4:
/usr/include/python2.7/pyconfig-64.h:1210:0: warning: "_XOPEN_SOURCE" redefined [enabled by default]
 #define _XOPEN_SOURCE 600
 ^
In file included from /usr/include/stdlib.h:24:0,
                 from scipy/special/sf_error.c:1:
/usr/include/features.h:170:0: note: this is the location of the previous definition
 # define _XOPEN_SOURCE 700
 ^
gcc: scipy/special/cdf_wrappers.c
gcc: scipy/special/_ufuncs.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/special/_ufuncs.c:244:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from scipy/special/_ufuncs.c:254:0:
scipy/special/c_misc/double2.h:208:13: warning: 'double2_div' defined but not used [-Wunused-function]
 static void double2_div(double2_t *a, double2_t *b, double2_t *c)
             ^
scipy/special/_ufuncs.c:4423:12: warning: '__pyx_f_5scipy_7special_7_ufuncs__set_errprint' defined but not used [-Wunused-function]
 static int __pyx_f_5scipy_7special_7_ufuncs__set_errprint(int __pyx_v_flag) {
            ^
scipy/special/_ufuncs.c: In function '__pyx_f_5scipy_7special_7_cunity_cexpm1':
scipy/special/_ufuncs.c:16397:31: warning: '__pyx_v_ezr' may be used uninitialized in this function [-Wmaybe-uninitialized]
     __pyx_v_y = ((__pyx_v_ezr + 1.0) * sin(__pyx_v_zi));
                               ^
scipy/special/_ufuncs.c: In function '__pyx_f_5scipy_7special_17_spherical_bessel_spherical_yn_d_real':
scipy/special/_ufuncs.c:27433:126: warning: '__pyx_v_sn' may be used uninitialized in this function [-Wmaybe-uninitialized]
     __pyx_r = (__pyx_f_5scipy_7special_17_spherical_bessel_spherical_yn_real((__pyx_v_n - 1), __pyx_v_x) - (((__pyx_v_n + 1) * __pyx_f_5scipy_7special_17_spherical_bessel_spherical_yn_real(__pyx_v_n, __pyx_v_x)) / __pyx_v_x));
                                                                                                                              ^
scipy/special/_ufuncs.c: In function '__pyx_f_5scipy_7special_17_spherical_bessel_spherical_jn_d_real':
scipy/special/_ufuncs.c:27285:126: warning: '__pyx_v_sn' may be used uninitialized in this function [-Wmaybe-uninitialized]
     __pyx_r = (__pyx_f_5scipy_7special_17_spherical_bessel_spherical_jn_real((__pyx_v_n - 1), __pyx_v_x) - (((__pyx_v_n + 1) * __pyx_f_5scipy_7special_17_spherical_bessel_spherical_jn_real(__pyx_v_n, __pyx_v_x)) / __pyx_v_x));
                                                                                                                              ^
scipy/special/_ufuncs.c: In function '__pyx_f_5scipy_7special_11_ellip_harm_lame_coefficients':
scipy/special/_ufuncs.c:16714:7: warning: '__pyx_v_size' may be used uninitialized in this function [-Wmaybe-uninitialized]
   int __pyx_v_size;
       ^
scipy/special/_ufuncs.c:17241:3: warning: '__pyx_v_t' may be used uninitialized in this function [-Wmaybe-uninitialized]
   switch (__pyx_v_t) {
   ^
scipy/special/_ufuncs.c: In function '__pyx_f_5scipy_7special_11_ellip_harm_ellip_harmonic':
scipy/special/_ufuncs.c:18029:14: warning: '__pyx_v_psi' may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_v_pp = (__pyx_v_pp * __pyx_v_psi);
              ^
scipy/special/_ufuncs.c:17831:10: note: '__pyx_v_psi' was declared here
   double __pyx_v_psi;
          ^
scipy/special/_ufuncs.c:18009:18: warning: '__pyx_v_size' may be used uninitialized in this function [-Wmaybe-uninitialized]
   for (__pyx_t_4 = (__pyx_v_size - 2); __pyx_t_4 > -1L; __pyx_t_4-=1) {
                  ^
scipy/special/_ufuncs.c:17825:7: note: '__pyx_v_size' was declared here
   int __pyx_v_size;
       ^
scipy/special/_ufuncs.c: In function '__pyx_f_5scipy_7special_7_legacy_ellip_harmonic_unsafe':
scipy/special/_ufuncs.c:18029:14: warning: '__pyx_v_psi' may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_v_pp = (__pyx_v_pp * __pyx_v_psi);
              ^
scipy/special/_ufuncs.c:17831:10: note: '__pyx_v_psi' was declared here
   double __pyx_v_psi;
          ^
scipy/special/_ufuncs.c:18009:18: warning: '__pyx_v_size' may be used uninitialized in this function [-Wmaybe-uninitialized]
   for (__pyx_t_4 = (__pyx_v_size - 2); __pyx_t_4 > -1L; __pyx_t_4-=1) {
                  ^
scipy/special/_ufuncs.c:17825:7: note: '__pyx_v_size' was declared here
   int __pyx_v_size;
       ^
gcc: build/src.linux-x86_64-2.7/scipy/special/_logit.c
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/scipy/special/_ufuncs.o build/temp.linux-x86_64-2.7/scipy/special/sf_error.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/special/_logit.o build/temp.linux-x86_64-2.7/scipy/special/amos_wrappers.o build/temp.linux-x86_64-2.7/scipy/special/cdf_wrappers.o build/temp.linux-x86_64-2.7/scipy/special/specfun_wrappers.o -L/usr/lib64/atlas -L/usr/lib64/python2.7/site-packages/numpy/core/lib -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -ltatlas -ltatlas -ltatlas -ltatlas -lsc_amos -lsc_c_misc -lsc_cephes -lsc_mach -lsc_cdf -lsc_specfun -lnpymath -lm -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/special/_ufuncs.so
building 'scipy.special._ufuncs_cxx' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-I/builddir/build/BUILD/scipy-0.18.0/scipy/special -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/special/sf_error.c
In file included from /usr/include/python2.7/pyconfig.h:6:0,
                 from /usr/include/python2.7/Python.h:8,
                 from scipy/special/sf_error.c:4:
/usr/include/python2.7/pyconfig-64.h:1188:0: warning: "_POSIX_C_SOURCE" redefined [enabled by default]
 #define _POSIX_C_SOURCE 200112L
 ^
In file included from /usr/include/stdlib.h:24:0,
                 from scipy/special/sf_error.c:1:
/usr/include/features.h:168:0: note: this is the location of the previous definition
 # define _POSIX_C_SOURCE 200809L
 ^
In file included from /usr/include/python2.7/pyconfig.h:6:0,
                 from /usr/include/python2.7/Python.h:8,
                 from scipy/special/sf_error.c:4:
/usr/include/python2.7/pyconfig-64.h:1210:0: warning: "_XOPEN_SOURCE" redefined [enabled by default]
 #define _XOPEN_SOURCE 600
 ^
In file included from /usr/include/stdlib.h:24:0,
                 from scipy/special/sf_error.c:1:
/usr/include/features.h:170:0: note: this is the location of the previous definition
 # define _XOPEN_SOURCE 700
 ^
compiling C++ sources
C compiler: g++ -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-I/builddir/build/BUILD/scipy-0.18.0/scipy/special -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
g++: scipy/special/_ufuncs_cxx.cxx
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/special/_ufuncs_cxx.cxx:253:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
g++: scipy/special/_faddeeva.cxx
In file included from /usr/include/python2.7/pyconfig.h:6:0,
                 from /usr/include/python2.7/Python.h:8,
                 from scipy/special/_faddeeva.h:13,
                 from scipy/special/_faddeeva.cxx:3:
/usr/include/python2.7/pyconfig-64.h:1188:0: warning: "_POSIX_C_SOURCE" redefined [enabled by default]
 #define _POSIX_C_SOURCE 200112L
 ^
In file included from /usr/include/c++/4.8.2/x86_64-redhat-linux/bits/os_defines.h:39:0,
                 from /usr/include/c++/4.8.2/x86_64-redhat-linux/bits/c++config.h:2097,
                 from /usr/include/c++/4.8.2/complex:41,
                 from scipy/special/_faddeeva.cxx:1:
/usr/include/features.h:168:0: note: this is the location of the previous definition
 # define _POSIX_C_SOURCE 200809L
 ^
In file included from /usr/include/python2.7/pyconfig.h:6:0,
                 from /usr/include/python2.7/Python.h:8,
                 from scipy/special/_faddeeva.h:13,
                 from scipy/special/_faddeeva.cxx:3:
/usr/include/python2.7/pyconfig-64.h:1210:0: warning: "_XOPEN_SOURCE" redefined [enabled by default]
 #define _XOPEN_SOURCE 600
 ^
In file included from /usr/include/c++/4.8.2/x86_64-redhat-linux/bits/os_defines.h:39:0,
                 from /usr/include/c++/4.8.2/x86_64-redhat-linux/bits/c++config.h:2097,
                 from /usr/include/c++/4.8.2/complex:41,
                 from scipy/special/_faddeeva.cxx:1:
/usr/include/features.h:170:0: note: this is the location of the previous definition
 # define _XOPEN_SOURCE 700
 ^
g++: scipy/special/Faddeeva.cc
In file included from /usr/include/python2.7/pyconfig.h:6:0,
                 from /usr/include/python2.7/Python.h:8,
                 from scipy/special/Faddeeva.cc:120:
/usr/include/python2.7/pyconfig-64.h:1188:0: warning: "_POSIX_C_SOURCE" redefined [enabled by default]
 #define _POSIX_C_SOURCE 200112L
 ^
In file included from /usr/include/c++/4.8.2/x86_64-redhat-linux/bits/os_defines.h:39:0,
                 from /usr/include/c++/4.8.2/x86_64-redhat-linux/bits/c++config.h:2097,
                 from /usr/include/c++/4.8.2/complex:41,
                 from scipy/special/Faddeeva.hh:30,
                 from scipy/special/Faddeeva.cc:23:
/usr/include/features.h:168:0: note: this is the location of the previous definition
 # define _POSIX_C_SOURCE 200809L
 ^
In file included from /usr/include/python2.7/pyconfig.h:6:0,
                 from /usr/include/python2.7/Python.h:8,
                 from scipy/special/Faddeeva.cc:120:
/usr/include/python2.7/pyconfig-64.h:1210:0: warning: "_XOPEN_SOURCE" redefined [enabled by default]
 #define _XOPEN_SOURCE 600
 ^
In file included from /usr/include/c++/4.8.2/x86_64-redhat-linux/bits/os_defines.h:39:0,
                 from /usr/include/c++/4.8.2/x86_64-redhat-linux/bits/c++config.h:2097,
                 from /usr/include/c++/4.8.2/complex:41,
                 from scipy/special/Faddeeva.hh:30,
                 from scipy/special/Faddeeva.cc:23:
/usr/include/features.h:170:0: note: this is the location of the previous definition
 # define _XOPEN_SOURCE 700
 ^
g++ -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/special/sf_error.o build/temp.linux-x86_64-2.7/scipy/special/_ufuncs_cxx.o build/temp.linux-x86_64-2.7/scipy/special/_faddeeva.o build/temp.linux-x86_64-2.7/scipy/special/Faddeeva.o -L/usr/lib64/python2.7/site-packages/numpy/core/lib -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lnpymath -lm -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/special/_ufuncs_cxx.so
building 'scipy.special._ellip_harm_2' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-DATLAS_INFO="\"3.10.1\"" -I/usr/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/special/_ellip_harm_2.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/special/_ellip_harm_2.c:246:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
scipy/special/_ellip_harm_2.c: In function '__pyx_f_5scipy_7special_13_ellip_harm_2__F_integrand1':
scipy/special/_ellip_harm_2.c:4684:14: warning: '__pyx_v_psi' may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_v_pp = (__pyx_v_pp * __pyx_v_psi);
              ^
scipy/special/_ellip_harm_2.c:4486:10: note: '__pyx_v_psi' was declared here
   double __pyx_v_psi;
          ^
scipy/special/_ellip_harm_2.c:4664:18: warning: '__pyx_v_size' may be used uninitialized in this function [-Wmaybe-uninitialized]
   for (__pyx_t_4 = (__pyx_v_size - 2); __pyx_t_4 > -1L; __pyx_t_4-=1) {
                  ^
scipy/special/_ellip_harm_2.c:4480:7: note: '__pyx_v_size' was declared here
   int __pyx_v_size;
       ^
scipy/special/_ellip_harm_2.c: In function '__pyx_f_5scipy_7special_13_ellip_harm_2__F_integrand3':
scipy/special/_ellip_harm_2.c:4684:14: warning: '__pyx_v_psi' may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_v_pp = (__pyx_v_pp * __pyx_v_psi);
              ^
scipy/special/_ellip_harm_2.c:4486:10: note: '__pyx_v_psi' was declared here
   double __pyx_v_psi;
          ^
scipy/special/_ellip_harm_2.c:4664:18: warning: '__pyx_v_size' may be used uninitialized in this function [-Wmaybe-uninitialized]
   for (__pyx_t_4 = (__pyx_v_size - 2); __pyx_t_4 > -1L; __pyx_t_4-=1) {
                  ^
scipy/special/_ellip_harm_2.c:4480:7: note: '__pyx_v_size' was declared here
   int __pyx_v_size;
       ^
scipy/special/_ellip_harm_2.c: In function '__pyx_f_5scipy_7special_13_ellip_harm_2__F_integrand4':
scipy/special/_ellip_harm_2.c:4684:14: warning: '__pyx_v_psi' may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_v_pp = (__pyx_v_pp * __pyx_v_psi);
              ^
scipy/special/_ellip_harm_2.c:4486:10: note: '__pyx_v_psi' was declared here
   double __pyx_v_psi;
          ^
scipy/special/_ellip_harm_2.c:4664:18: warning: '__pyx_v_size' may be used uninitialized in this function [-Wmaybe-uninitialized]
   for (__pyx_t_4 = (__pyx_v_size - 2); __pyx_t_4 > -1L; __pyx_t_4-=1) {
                  ^
scipy/special/_ellip_harm_2.c:4480:7: note: '__pyx_v_size' was declared here
   int __pyx_v_size;
       ^
scipy/special/_ellip_harm_2.c: In function '__pyx_f_5scipy_7special_13_ellip_harm_2__F_integrand2':
scipy/special/_ellip_harm_2.c:4684:14: warning: '__pyx_v_psi' may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_v_pp = (__pyx_v_pp * __pyx_v_psi);
              ^
scipy/special/_ellip_harm_2.c:4486:10: note: '__pyx_v_psi' was declared here
   double __pyx_v_psi;
          ^
scipy/special/_ellip_harm_2.c:4664:18: warning: '__pyx_v_size' may be used uninitialized in this function [-Wmaybe-uninitialized]
   for (__pyx_t_4 = (__pyx_v_size - 2); __pyx_t_4 > -1L; __pyx_t_4-=1) {
                  ^
scipy/special/_ellip_harm_2.c:4480:7: note: '__pyx_v_size' was declared here
   int __pyx_v_size;
       ^
scipy/special/_ellip_harm_2.c: In function '__pyx_f_5scipy_7special_13_ellip_harm_2__F_integrand':
scipy/special/_ellip_harm_2.c:4684:14: warning: '__pyx_v_psi' may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_v_pp = (__pyx_v_pp * __pyx_v_psi);
              ^
scipy/special/_ellip_harm_2.c:4486:10: note: '__pyx_v_psi' was declared here
   double __pyx_v_psi;
          ^
scipy/special/_ellip_harm_2.c:4664:18: warning: '__pyx_v_size' may be used uninitialized in this function [-Wmaybe-uninitialized]
   for (__pyx_t_4 = (__pyx_v_size - 2); __pyx_t_4 > -1L; __pyx_t_4-=1) {
                  ^
scipy/special/_ellip_harm_2.c:4480:7: note: '__pyx_v_size' was declared here
   int __pyx_v_size;
       ^
scipy/special/_ellip_harm_2.c: In function '__pyx_f_5scipy_7special_11_ellip_harm_lame_coefficients.constprop.16':
scipy/special/_ellip_harm_2.c:3369:7: warning: '__pyx_v_size' may be used uninitialized in this function [-Wmaybe-uninitialized]
   int __pyx_v_size;
       ^
scipy/special/_ellip_harm_2.c:3896:3: warning: '__pyx_v_t' may be used uninitialized in this function [-Wmaybe-uninitialized]
   switch (__pyx_v_t) {
   ^
scipy/special/_ellip_harm_2.c: In function '__pyx_pw_5scipy_7special_13_ellip_harm_2_1_ellipsoid':
scipy/special/_ellip_harm_2.c:4684:14: warning: '__pyx_v_psi' may be used uninitialized in this function [-Wmaybe-uninitialized]
   __pyx_v_pp = (__pyx_v_pp * __pyx_v_psi);
              ^
scipy/special/_ellip_harm_2.c:4486:10: note: '__pyx_v_psi' was declared here
   double __pyx_v_psi;
          ^
scipy/special/_ellip_harm_2.c:4664:18: warning: '__pyx_v_size' may be used uninitialized in this function [-Wmaybe-uninitialized]
   for (__pyx_t_4 = (__pyx_v_size - 2); __pyx_t_4 > -1L; __pyx_t_4-=1) {
                  ^
scipy/special/_ellip_harm_2.c:4480:7: note: '__pyx_v_size' was declared here
   int __pyx_v_size;
       ^
gcc: scipy/special/sf_error.c
In file included from /usr/include/python2.7/pyconfig.h:6:0,
                 from /usr/include/python2.7/Python.h:8,
                 from scipy/special/sf_error.c:4:
/usr/include/python2.7/pyconfig-64.h:1188:0: warning: "_POSIX_C_SOURCE" redefined [enabled by default]
 #define _POSIX_C_SOURCE 200112L
 ^
In file included from /usr/include/stdlib.h:24:0,
                 from scipy/special/sf_error.c:1:
/usr/include/features.h:168:0: note: this is the location of the previous definition
 # define _POSIX_C_SOURCE 200809L
 ^
In file included from /usr/include/python2.7/pyconfig.h:6:0,
                 from /usr/include/python2.7/Python.h:8,
                 from scipy/special/sf_error.c:4:
/usr/include/python2.7/pyconfig-64.h:1210:0: warning: "_XOPEN_SOURCE" redefined [enabled by default]
 #define _XOPEN_SOURCE 600
 ^
In file included from /usr/include/stdlib.h:24:0,
                 from scipy/special/sf_error.c:1:
/usr/include/features.h:170:0: note: this is the location of the previous definition
 # define _XOPEN_SOURCE 700
 ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/scipy/special/_ellip_harm_2.o build/temp.linux-x86_64-2.7/scipy/special/sf_error.o -L/usr/lib64/atlas -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -Wl,-rpath="/usr/lib64/atlas" -ltatlas -ltatlas -ltatlas -ltatlas -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/special/_ellip_harm_2.so
building 'scipy.special._comb' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/special/_comb.c
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/special/_comb.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/special/_comb.so
building 'scipy.stats.statlib' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/stats
compile options: '-Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/scipy/stats/statlibmodule.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/scipy/stats/statlibmodule.c:19:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
build/src.linux-x86_64-2.7/scipy/stats/statlibmodule.c: In function 'f2py_rout_statlib_prho':
build/src.linux-x86_64-2.7/scipy/stats/statlibmodule.c:493:10: warning: variable 'prho_return_value' set but not used [-Wunused-but-set-variable]
   double prho_return_value=0;
          ^
build/src.linux-x86_64-2.7/scipy/stats/statlibmodule.c: At top level:
build/src.linux-x86_64-2.7/scipy/stats/statlibmodule.c:112:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
gcc: build/src.linux-x86_64-2.7/fortranobject.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/fortranobject.c:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/stats/statlibmodule.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lstatlib -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/stats/statlib.so
building 'scipy.stats._stats' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/stats/_stats.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/stats/_stats.c:243:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/stats/_stats.c:243:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1448:1: warning: '_import_array' defined but not used [-Wunused-function]
 _import_array(void)
 ^
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/stats/_stats.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/stats/_stats.so
building 'scipy.stats.mvn' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: build/src.linux-x86_64-2.7/fortranobject.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/fortranobject.c:2:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc: build/src.linux-x86_64-2.7/scipy/stats/mvnmodule.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from build/src.linux-x86_64-2.7/fortranobject.h:13,
                 from build/src.linux-x86_64-2.7/scipy/stats/mvnmodule.c:19:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
build/src.linux-x86_64-2.7/scipy/stats/mvnmodule.c:105:12: warning: 'f2py_size' defined but not used [-Wunused-function]
 static int f2py_size(PyArrayObject* var, ...)
            ^
compiling Fortran sources
Fortran f77 compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran f90 compiler: /usr/bin/gfortran -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
Fortran fix compiler: /usr/bin/gfortran -Wall -g -ffixed-form -fno-second-underscore -Wall -g -fno-second-underscore -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC -O3 -funroll-loops
compile options: '-Ibuild/src.linux-x86_64-2.7 -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gfortran:f77: scipy/stats/mvndst.f
scipy/stats/mvndst.f:130.18:
         INFORM = MVNDNT(N, CORREL, LOWER, UPPER, INFIN, INFIS, D, E)   
                  1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/stats/mvndst.f:715.14:
         JP = J + MVNUNI()*( NK + 1 - J )                               
              1
Warning: Possible change of value in conversion from REAL(8) to INTEGER(4) at (1)
scipy/stats/mvndst.f: In function 'bvnmvn':
scipy/stats/mvndst.f:951:0: warning: '__result_bvnmvn' may be used uninitialized in this function [-Wmaybe-uninitialized]
       END 
 ^
scipy/stats/mvndst.f:909:0: note: '__result_bvnmvn' was declared here
       DOUBLE PRECISION FUNCTION BVNMVN( LOWER, UPPER, INFIN, CORREL )
 ^
scipy/stats/mvndst.f: In function 'covsrt':
scipy/stats/mvndst.f:356:0: warning: 'bmin' may be used uninitialized in this function [-Wmaybe-uninitialized]
                   IF ( INFI(I) .EQ. 2 ) Y(I) = ( AMIN + BMIN )/2
 ^
scipy/stats/mvndst.f:356:0: warning: 'amin' may be used uninitialized in this function [-Wmaybe-uninitialized]
gfortran:f77: build/src.linux-x86_64-2.7/scipy/stats/mvn-f2pywrappers.f
/usr/bin/gfortran -Wall -g -Wall -g -shared build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/stats/mvnmodule.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/fortranobject.o build/temp.linux-x86_64-2.7/scipy/stats/mvndst.o build/temp.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/stats/mvn-f2pywrappers.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -lgfortran -o build/lib.linux-x86_64-2.7/scipy/stats/mvn.so
building 'scipy.ndimage._nd_image' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
creating build/temp.linux-x86_64-2.7/scipy/ndimage
creating build/temp.linux-x86_64-2.7/scipy/ndimage/src
compile options: '-Iscipy/ndimage/src -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/ndimage/src/ni_filters.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/noprefix.h:9,
                 from scipy/ndimage/src/nd_image.h:41,
                 from scipy/ndimage/src/ni_support.h:35,
                 from scipy/ndimage/src/ni_filters.c:32:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc: scipy/ndimage/src/ni_support.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/noprefix.h:9,
                 from scipy/ndimage/src/nd_image.h:41,
                 from scipy/ndimage/src/ni_support.h:35,
                 from scipy/ndimage/src/ni_support.c:32:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc: scipy/ndimage/src/ni_morphology.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/noprefix.h:9,
                 from scipy/ndimage/src/nd_image.h:41,
                 from scipy/ndimage/src/ni_support.h:35,
                 from scipy/ndimage/src/ni_morphology.c:32:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc: scipy/ndimage/src/ni_interpolation.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/noprefix.h:9,
                 from scipy/ndimage/src/nd_image.h:41,
                 from scipy/ndimage/src/ni_support.h:35,
                 from scipy/ndimage/src/ni_interpolation.c:32:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc: scipy/ndimage/src/ni_fourier.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/noprefix.h:9,
                 from scipy/ndimage/src/nd_image.h:41,
                 from scipy/ndimage/src/ni_support.h:35,
                 from scipy/ndimage/src/ni_fourier.c:32:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc: scipy/ndimage/src/ni_measure.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/noprefix.h:9,
                 from scipy/ndimage/src/nd_image.h:41,
                 from scipy/ndimage/src/ni_support.h:35,
                 from scipy/ndimage/src/ni_measure.c:32:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc: scipy/ndimage/src/nd_image.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/noprefix.h:9,
                 from scipy/ndimage/src/nd_image.h:41,
                 from scipy/ndimage/src/nd_image.c:32:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/ndimage/src/nd_image.o build/temp.linux-x86_64-2.7/scipy/ndimage/src/ni_filters.o build/temp.linux-x86_64-2.7/scipy/ndimage/src/ni_fourier.o build/temp.linux-x86_64-2.7/scipy/ndimage/src/ni_interpolation.o build/temp.linux-x86_64-2.7/scipy/ndimage/src/ni_measure.o build/temp.linux-x86_64-2.7/scipy/ndimage/src/ni_morphology.o build/temp.linux-x86_64-2.7/scipy/ndimage/src/ni_support.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/ndimage/_nd_image.so
building 'scipy.ndimage._ni_label' extension
compiling C sources
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-Iscipy/ndimage/src -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/lib64/python2.7/site-packages/numpy/core/include -I/usr/include/python2.7 -c'
gcc: scipy/ndimage/src/_ni_label.c
In file included from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
                 from /usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
                 from scipy/ndimage/src/_ni_label.c:242:
/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
 #warning "Using deprecated NumPy API, disable it by " \
  ^
gcc -pthread -shared -Wl,-z,relro -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic build/temp.linux-x86_64-2.7/scipy/ndimage/src/_ni_label.o -L/usr/lib64 -Lbuild/temp.linux-x86_64-2.7 -lpython2.7 -o build/lib.linux-x86_64-2.7/scipy/ndimage/_ni_label.so
+ exit 0
Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.TyakYO
+ umask 022
+ cd /builddir/build/BUILD
+ '[' /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64 '!=' / ']'
+ rm -rf /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64
++ dirname /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64
+ mkdir -p /builddir/build/BUILDROOT
+ mkdir /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64
+ cd scipy-0.18.0
+ env 'CFLAGS=-O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches   -m64 -mtune=generic' 'FFLAGS=-O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches   -m64 -mtune=generic -fPIC' ATLAS=/usr/lib64/atlas FFTW=/usr/lib64 BLAS=/usr/lib64 LAPACK=/usr/lib64 /usr/bin/python2 setup.py install --root=/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64
Note: if you need reliable uninstall behavior, then install
with pip instead of using `setup.py install`:
  - `pip install .`       (from a git repo or downloaded source
                           release)
  - `pip install scipy`   (last SciPy release on PyPI)
lapack_opt_info:
openblas_lapack_info:
  libraries openblas not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
  NOT AVAILABLE
lapack_mkl_info:
  libraries mkl_rt not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
  NOT AVAILABLE
atlas_3_10_threads_info:
Setting PTATLAS=ATLAS
  libraries lapack_atlas not found in /usr/lib64/atlas
<class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
Setting PTATLAS=ATLAS
customize Gnu95FCompiler
Found executable /usr/bin/gfortran
customize Gnu95FCompiler
customize Gnu95FCompiler using config
compiling '_configtest.c':
/* This file is generated from numpy/distutils/system_info.py */
void ATL_buildinfo(void);
int main(void) {
  ATL_buildinfo();
  return 0;
}
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-c'
gcc: _configtest.c
gcc -pthread _configtest.o -L/usr/lib64/atlas -ltatlas -ltatlas -o _configtest
ATLAS version 3.10.1 built by mockbuild on Fri Nov 20 05:32:04 UTC 2015:
   UNAME    : Linux worker1.bsys.centos.org 2.6.32-220.17.1.el6.x86_64 #1 SMP Wed May 16 00:01:37 BST 2012 x86_64 x86_64 x86_64 GNU/Linux
   INSTFLG  : -1 0 -a 1 -l 1
   ARCHDEFS : -DATL_OS_Linux -DATL_ARCH_Corei1 -DATL_CPUMHZ=2394 -DATL_SSE3 -DATL_SSE2 -DATL_SSE1 -DATL_USE64BITS -DATL_GAS_x8664
   F2CDEFS  : -DAdd_ -DF77_INTEGER=int -DStringSunStyle
   CACHEEDGE: 4194304
   F77      : /usr/bin/gfortran, version GNU Fortran (GCC) 4.8.5 20150623 (Red Hat 4.8.5-4)
   F77FLAGS : -O -msse3 -g -fstack-protector-strong -Wa,--noexecstack -fPIC -m64
   SMC      : /usr/bin/x86_64-redhat-linux-gcc, version x86_64-redhat-linux-gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-4)
   SMCFLAGS : -fomit-frame-pointer -mfpmath=sse -O2 -fno-schedule-insns2 -msse3 -g -fstack-protector-strong -Wa,--noexecstack -fPIC -m64
   SKC      : /usr/bin/x86_64-redhat-linux-gcc, version x86_64-redhat-linux-gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-4)
   SKCFLAGS : -fomit-frame-pointer -mfpmath=sse -O2 -fno-schedule-insns2 -msse3 -g -fstack-protector-strong -Wa,--noexecstack -fPIC -m64
success!
removing: _configtest.c _configtest.o _configtest
Setting PTATLAS=ATLAS
Setting PTATLAS=ATLAS
Setting PTATLAS=ATLAS
  FOUND:
    define_macros = [('ATLAS_INFO', '"\\"3.10.1\\""')]
    language = f77
    runtime_library_dirs = ['/usr/lib64/atlas']
    libraries = ['tatlas', 'tatlas', 'tatlas', 'tatlas']
    library_dirs = ['/usr/lib64/atlas']
    include_dirs = ['/usr/include']
  FOUND:
    define_macros = [('ATLAS_INFO', '"\\"3.10.1\\""')]
    language = f77
    runtime_library_dirs = ['/usr/lib64/atlas']
    libraries = ['tatlas', 'tatlas', 'tatlas', 'tatlas']
    library_dirs = ['/usr/lib64/atlas']
    include_dirs = ['/usr/include']
Running from scipy source directory.
/usr/lib64/python2.7/site-packages/numpy/distutils/system_info.py:639: UserWarning: Specified path /usr/lib64/python2.7/site-packages/numpy/__init__.pyc/include/python2.7 is invalid.
  warnings.warn('Specified path %s is invalid.' % d)
/usr/lib64/python2.7/site-packages/numpy/distutils/system_info.py:639: UserWarning: Specified path /usr/local/include/python2.7 is invalid.
  warnings.warn('Specified path %s is invalid.' % d)
/usr/lib64/python2.7/site-packages/numpy/distutils/system_info.py:639: UserWarning: Specified path /usr/include/suitesparse/python2.7 is invalid.
  warnings.warn('Specified path %s is invalid.' % d)
ATLAS version: 3.10.1
Splitting linalg.interpolative Fortran source files
blas_opt_info:
blas_mkl_info:
  libraries mkl_rt not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
  NOT AVAILABLE
openblas_info:
  libraries openblas not found in ['/usr/local/lib64', '/usr/local/lib', '/usr/lib64', '/usr/lib', '/usr/lib/']
  NOT AVAILABLE
atlas_3_10_blas_threads_info:
Setting PTATLAS=ATLAS
Setting PTATLAS=ATLAS
customize Gnu95FCompiler
customize Gnu95FCompiler
customize Gnu95FCompiler using config
compiling '_configtest.c':
/* This file is generated from numpy/distutils/system_info.py */
void ATL_buildinfo(void);
int main(void) {
  ATL_buildinfo();
  return 0;
}
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-c'
gcc: _configtest.c
gcc -pthread _configtest.o -L/usr/lib64/atlas -ltatlas -o _configtest
ATLAS version 3.10.1 built by mockbuild on Fri Nov 20 05:32:04 UTC 2015:
   UNAME    : Linux worker1.bsys.centos.org 2.6.32-220.17.1.el6.x86_64 #1 SMP Wed May 16 00:01:37 BST 2012 x86_64 x86_64 x86_64 GNU/Linux
   INSTFLG  : -1 0 -a 1 -l 1
   ARCHDEFS : -DATL_OS_Linux -DATL_ARCH_Corei1 -DATL_CPUMHZ=2394 -DATL_SSE3 -DATL_SSE2 -DATL_SSE1 -DATL_USE64BITS -DATL_GAS_x8664
   F2CDEFS  : -DAdd_ -DF77_INTEGER=int -DStringSunStyle
   CACHEEDGE: 4194304
   F77      : /usr/bin/gfortran, version GNU Fortran (GCC) 4.8.5 20150623 (Red Hat 4.8.5-4)
   F77FLAGS : -O -msse3 -g -fstack-protector-strong -Wa,--noexecstack -fPIC -m64
   SMC      : /usr/bin/x86_64-redhat-linux-gcc, version x86_64-redhat-linux-gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-4)
   SMCFLAGS : -fomit-frame-pointer -mfpmath=sse -O2 -fno-schedule-insns2 -msse3 -g -fstack-protector-strong -Wa,--noexecstack -fPIC -m64
   SKC      : /usr/bin/x86_64-redhat-linux-gcc, version x86_64-redhat-linux-gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-4)
   SKCFLAGS : -fomit-frame-pointer -mfpmath=sse -O2 -fno-schedule-insns2 -msse3 -g -fstack-protector-strong -Wa,--noexecstack -fPIC -m64
success!
removing: _configtest.c _configtest.o _configtest
Setting PTATLAS=ATLAS
Setting PTATLAS=ATLAS
Setting PTATLAS=ATLAS
  FOUND:
    define_macros = [('HAVE_CBLAS', None), ('ATLAS_INFO', '"\\"3.10.1\\""')]
    language = c
    runtime_library_dirs = ['/usr/lib64/atlas']
    libraries = ['tatlas', 'tatlas']
    library_dirs = ['/usr/lib64/atlas']
    include_dirs = ['/usr/include']
  FOUND:
    define_macros = [('HAVE_CBLAS', None), ('ATLAS_INFO', '"\\"3.10.1\\""')]
    language = c
    runtime_library_dirs = ['/usr/lib64/atlas']
    libraries = ['tatlas', 'tatlas']
    library_dirs = ['/usr/lib64/atlas']
    include_dirs = ['/usr/include']
running install
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands --compiler options
running config_fc
unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
running build_src
build_src
building py_modules sources
building library "dfftpack" sources
building library "fftpack" sources
building library "mach" sources
building library "quadpack" sources
building library "odepack" sources
building library "dop" sources
building library "fitpack" sources
building library "fwrappers" sources
building library "odrpack" sources
building library "minpack" sources
building library "rootfind" sources
building library "superlu_src" sources
building library "arpack_scipy" sources
building library "sc_c_misc" sources
building library "sc_cephes" sources
building library "sc_mach" sources
building library "sc_amos" sources
building library "sc_cdf" sources
building library "sc_specfun" sources
building library "statlib" sources
building extension "scipy.cluster._vq" sources
building extension "scipy.cluster._hierarchy" sources
building extension "scipy.fftpack._fftpack" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.fftpack.convolve" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.integrate._quadpack" sources
building extension "scipy.integrate._odepack" sources
building extension "scipy.integrate.vode" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.integrate.lsoda" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.integrate._dop" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.integrate._test_multivariate" sources
building extension "scipy.integrate._test_odeint_banded" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
  adding 'build/src.linux-x86_64-2.7/scipy/integrate/_test_odeint_banded-f2pywrappers.f' to sources.
building extension "scipy.interpolate.interpnd" sources
building extension "scipy.interpolate._ppoly" sources
building extension "scipy.interpolate._fitpack" sources
building extension "scipy.interpolate.dfitpack" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
  adding 'build/src.linux-x86_64-2.7/scipy/interpolate/src/dfitpack-f2pywrappers.f' to sources.
building extension "scipy.interpolate._interpolate" sources
building extension "scipy.io.matlab.streams" sources
building extension "scipy.io.matlab.mio_utils" sources
building extension "scipy.io.matlab.mio5_utils" sources
building extension "scipy.linalg._fblas" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
  adding 'build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_fblas-f2pywrappers.f' to sources.
building extension "scipy.linalg._flapack" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
  adding 'build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/linalg/_flapack-f2pywrappers.f' to sources.
building extension "scipy.linalg._cblas" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.linalg._clapack" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.linalg._flinalg" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.linalg._interpolative" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.linalg._calc_lwork" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.linalg._solve_toeplitz" sources
building extension "scipy.linalg.cython_blas" sources
building extension "scipy.linalg.cython_lapack" sources
building extension "scipy.linalg._decomp_update" sources
building extension "scipy.odr.__odrpack" sources
building extension "scipy.optimize._minpack" sources
building extension "scipy.optimize._zeros" sources
building extension "scipy.optimize._lbfgsb" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.optimize.moduleTNC" sources
building extension "scipy.optimize._cobyla" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.optimize.minpack2" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.optimize._slsqp" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.optimize._nnls" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.optimize._group_columns" sources
building extension "scipy.optimize._lsq.givens_elimination" sources
building extension "scipy.signal.sigtools" sources
building extension "scipy.signal._spectral" sources
building extension "scipy.signal._max_len_seq_inner" sources
building extension "scipy.signal._upfirdn_apply" sources
building extension "scipy.signal.spline" sources
building extension "scipy.sparse.linalg.isolve._iterative" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.sparse.linalg.dsolve._superlu" sources
building extension "scipy.sparse.linalg.eigen.arpack._arpack" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
  adding 'build/src.linux-x86_64-2.7/build/src.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/_arpack-f2pywrappers.f' to sources.
building extension "scipy.sparse.csgraph._shortest_path" sources
building extension "scipy.sparse.csgraph._traversal" sources
building extension "scipy.sparse.csgraph._min_spanning_tree" sources
building extension "scipy.sparse.csgraph._reordering" sources
building extension "scipy.sparse.csgraph._tools" sources
building extension "scipy.sparse._csparsetools" sources
building extension "scipy.sparse._sparsetools" sources
[generate_sparsetools] 'scipy/sparse/sparsetools/bsr_impl.h' already up-to-date
[generate_sparsetools] 'scipy/sparse/sparsetools/csr_impl.h' already up-to-date
[generate_sparsetools] 'scipy/sparse/sparsetools/csc_impl.h' already up-to-date
[generate_sparsetools] 'scipy/sparse/sparsetools/other_impl.h' already up-to-date
[generate_sparsetools] 'scipy/sparse/sparsetools/sparsetools_impl.h' already up-to-date
building extension "scipy.spatial.qhull" sources
customize Gnu95FCompiler
customize Gnu95FCompiler
customize Gnu95FCompiler using config
C compiler: gcc -pthread -fno-strict-aliasing -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -DNDEBUG -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic -fPIC
compile options: '-I/usr/include/python2.7 -c'
gcc: _configtest.c
gcc -pthread _configtest.o -o _configtest
success!
removing: _configtest.c _configtest.o _configtest
building extension "scipy.spatial.ckdtree" sources
building extension "scipy.spatial._distance_wrap" sources
building extension "scipy.special.specfun" sources
f2py options: ['--no-wrap-functions']
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.special._ufuncs" sources
building extension "scipy.special._ufuncs_cxx" sources
building extension "scipy.special._ellip_harm_2" sources
building extension "scipy.special._comb" sources
building extension "scipy.stats.statlib" sources
f2py options: ['--no-wrap-functions']
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
building extension "scipy.stats._stats" sources
building extension "scipy.stats.mvn" sources
f2py options: []
  adding 'build/src.linux-x86_64-2.7/fortranobject.c' to sources.
  adding 'build/src.linux-x86_64-2.7' to include_dirs.
  adding 'build/src.linux-x86_64-2.7/scipy/stats/mvn-f2pywrappers.f' to sources.
building extension "scipy.ndimage._nd_image" sources
building extension "scipy.ndimage._ni_label" sources
building data_files sources
build_src: building npy-pkg config files
running build_py
copying scipy/version.py -> build/lib.linux-x86_64-2.7/scipy
copying build/src.linux-x86_64-2.7/scipy/__config__.py -> build/lib.linux-x86_64-2.7/scipy
running build_clib
customize UnixCCompiler
customize UnixCCompiler using build_clib
customize Gnu95FCompiler
customize Gnu95FCompiler
customize Gnu95FCompiler using build_clib
running build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
resetting extension 'scipy.odr.__odrpack' language from 'c' to 'f77'.
extending extension 'scipy.sparse.linalg.dsolve._superlu' defined_macros with [('USE_VENDOR_BLAS', 1)]
customize UnixCCompiler
customize UnixCCompiler using build_ext
customize Gnu95FCompiler
customize Gnu95FCompiler
customize Gnu95FCompiler using build_ext
running install_lib
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack
copying build/lib.linux-x86_64-2.7/scipy/fftpack/fftpack_version.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack
copying build/lib.linux-x86_64-2.7/scipy/fftpack/basic.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack
copying build/lib.linux-x86_64-2.7/scipy/fftpack/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack
copying build/lib.linux-x86_64-2.7/scipy/fftpack/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack
copying build/lib.linux-x86_64-2.7/scipy/fftpack/pseudo_diffs.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack
copying build/lib.linux-x86_64-2.7/scipy/fftpack/realtransforms.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack
copying build/lib.linux-x86_64-2.7/scipy/fftpack/helper.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack
copying build/lib.linux-x86_64-2.7/scipy/fftpack/_fftpack.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack
copying build/lib.linux-x86_64-2.7/scipy/fftpack/convolve.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/moduleTNC.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/_cobyla.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/tnc.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/_differentialevolution.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/_numdiff.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/lbfgsb.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/_basinhopping.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lsq
copying build/lib.linux-x86_64-2.7/scipy/optimize/_lsq/trf.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lsq
copying build/lib.linux-x86_64-2.7/scipy/optimize/_lsq/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lsq
copying build/lib.linux-x86_64-2.7/scipy/optimize/_lsq/common.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lsq
copying build/lib.linux-x86_64-2.7/scipy/optimize/_lsq/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lsq
copying build/lib.linux-x86_64-2.7/scipy/optimize/_lsq/bvls.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lsq
copying build/lib.linux-x86_64-2.7/scipy/optimize/_lsq/dogbox.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lsq
copying build/lib.linux-x86_64-2.7/scipy/optimize/_lsq/trf_linear.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lsq
copying build/lib.linux-x86_64-2.7/scipy/optimize/_lsq/lsq_linear.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lsq
copying build/lib.linux-x86_64-2.7/scipy/optimize/_lsq/givens_elimination.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lsq
copying build/lib.linux-x86_64-2.7/scipy/optimize/_lsq/least_squares.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lsq
copying build/lib.linux-x86_64-2.7/scipy/optimize/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/zeros.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/_tstutils.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/cobyla.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/slsqp.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/_minpack.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/_root.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/_hungarian.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/minpack2.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/_zeros.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/_trustregion.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/nonlin.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/minpack.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/_trustregion_ncg.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/_lbfgsb.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/linesearch.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/_group_columns.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/_spectral.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/_minimize.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/_slsqp.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/optimize.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/nnls.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/_trustregion_dogleg.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/_nnls.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
copying build/lib.linux-x86_64-2.7/scipy/optimize/_linprog.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/common_info.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/swigptr.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/bytecodecompiler.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/standard_array_spec.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/size_check.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/platform_info.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/cpp_namespace_spec.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/ext_tools.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/c_spec.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/blitz_tools.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/swig2_spec.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/converters.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/_dumb_shelve.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/slice_handler.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/build_tools.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/base_spec.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/base_info.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/_dumbdbm_patched.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/weave_version.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/blitz_spec.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/vtk_spec.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/catalog.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/inline_tools.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/swigptr2.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/ast_tools.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/accelerate_tools.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
copying build/lib.linux-x86_64-2.7/scipy/weave/numpy_scalar_spec.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/constants
copying build/lib.linux-x86_64-2.7/scipy/constants/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/constants
copying build/lib.linux-x86_64-2.7/scipy/constants/constants.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/constants
copying build/lib.linux-x86_64-2.7/scipy/constants/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/constants
copying build/lib.linux-x86_64-2.7/scipy/constants/codata.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/constants
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate
copying build/lib.linux-x86_64-2.7/scipy/integrate/_quadpack.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate
copying build/lib.linux-x86_64-2.7/scipy/integrate/_dop.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate
copying build/lib.linux-x86_64-2.7/scipy/integrate/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate
copying build/lib.linux-x86_64-2.7/scipy/integrate/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate
copying build/lib.linux-x86_64-2.7/scipy/integrate/_odepack.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate
copying build/lib.linux-x86_64-2.7/scipy/integrate/lsoda.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate
copying build/lib.linux-x86_64-2.7/scipy/integrate/vode.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate
copying build/lib.linux-x86_64-2.7/scipy/integrate/quadrature.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate
copying build/lib.linux-x86_64-2.7/scipy/integrate/quadpack.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate
copying build/lib.linux-x86_64-2.7/scipy/integrate/_ode.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate
copying build/lib.linux-x86_64-2.7/scipy/integrate/_bvp.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate
copying build/lib.linux-x86_64-2.7/scipy/integrate/_test_multivariate.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate
copying build/lib.linux-x86_64-2.7/scipy/integrate/_test_odeint_banded.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate
copying build/lib.linux-x86_64-2.7/scipy/integrate/odepack.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/odr
copying build/lib.linux-x86_64-2.7/scipy/odr/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/odr
copying build/lib.linux-x86_64-2.7/scipy/odr/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/odr
copying build/lib.linux-x86_64-2.7/scipy/odr/__odrpack.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/odr
copying build/lib.linux-x86_64-2.7/scipy/odr/odrpack.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/odr
copying build/lib.linux-x86_64-2.7/scipy/odr/add_newdocs.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/odr
copying build/lib.linux-x86_64-2.7/scipy/odr/models.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/odr
copying build/lib.linux-x86_64-2.7/scipy/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc
copying build/lib.linux-x86_64-2.7/scipy/misc/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc
copying build/lib.linux-x86_64-2.7/scipy/misc/common.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc
copying build/lib.linux-x86_64-2.7/scipy/misc/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc
copying build/lib.linux-x86_64-2.7/scipy/misc/doccer.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc
copying build/lib.linux-x86_64-2.7/scipy/misc/pilutil.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse
copying build/lib.linux-x86_64-2.7/scipy/sparse/spfuncs.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse
copying build/lib.linux-x86_64-2.7/scipy/sparse/dok.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse
copying build/lib.linux-x86_64-2.7/scipy/sparse/bsr.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse
copying build/lib.linux-x86_64-2.7/scipy/sparse/construct.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse
copying build/lib.linux-x86_64-2.7/scipy/sparse/sputils.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse
copying build/lib.linux-x86_64-2.7/scipy/sparse/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse
copying build/lib.linux-x86_64-2.7/scipy/sparse/coo.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse
copying build/lib.linux-x86_64-2.7/scipy/sparse/data.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse
copying build/lib.linux-x86_64-2.7/scipy/sparse/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse
copying build/lib.linux-x86_64-2.7/scipy/sparse/sparsetools.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse
copying build/lib.linux-x86_64-2.7/scipy/sparse/lil.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse
copying build/lib.linux-x86_64-2.7/scipy/sparse/_csparsetools.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse
copying build/lib.linux-x86_64-2.7/scipy/sparse/dia.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/isolve/lsqr.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/isolve/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/isolve/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/isolve/lsmr.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/isolve/minres.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/isolve/_iterative.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/isolve/utils.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/isolve/iterative.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/isolve/lgmres.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/_expm_multiply.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/interface.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/dsolve
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/dsolve/_superlu.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/dsolve
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/dsolve/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/dsolve
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/dsolve/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/dsolve
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/dsolve/linsolve.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/dsolve
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/dsolve/_add_newdocs.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/dsolve
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/eigen/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/eigen/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/arpack
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/arpack
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/arpack
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/arpack.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/arpack
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/eigen/arpack/_arpack.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/arpack
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/lobpcg
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/eigen/lobpcg/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/lobpcg
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/eigen/lobpcg/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/lobpcg
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/eigen/lobpcg/lobpcg.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/lobpcg
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/_onenormest.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/matfuncs.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg
copying build/lib.linux-x86_64-2.7/scipy/sparse/linalg/_norm.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg
copying build/lib.linux-x86_64-2.7/scipy/sparse/extract.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse
copying build/lib.linux-x86_64-2.7/scipy/sparse/compressed.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse
copying build/lib.linux-x86_64-2.7/scipy/sparse/csr.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse
copying build/lib.linux-x86_64-2.7/scipy/sparse/base.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse
copying build/lib.linux-x86_64-2.7/scipy/sparse/csc.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph
copying build/lib.linux-x86_64-2.7/scipy/sparse/csgraph/_traversal.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph
copying build/lib.linux-x86_64-2.7/scipy/sparse/csgraph/_laplacian.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph
copying build/lib.linux-x86_64-2.7/scipy/sparse/csgraph/_components.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph
copying build/lib.linux-x86_64-2.7/scipy/sparse/csgraph/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph
copying build/lib.linux-x86_64-2.7/scipy/sparse/csgraph/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph
copying build/lib.linux-x86_64-2.7/scipy/sparse/csgraph/_validation.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph
copying build/lib.linux-x86_64-2.7/scipy/sparse/csgraph/_min_spanning_tree.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph
copying build/lib.linux-x86_64-2.7/scipy/sparse/csgraph/_tools.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph
copying build/lib.linux-x86_64-2.7/scipy/sparse/csgraph/_shortest_path.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph
copying build/lib.linux-x86_64-2.7/scipy/sparse/csgraph/_reordering.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph
copying build/lib.linux-x86_64-2.7/scipy/sparse/generate_sparsetools.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse
copying build/lib.linux-x86_64-2.7/scipy/sparse/_sparsetools.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse
copying build/lib.linux-x86_64-2.7/scipy/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/_savitzky_golay.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/sigtools.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/_upfirdn_apply.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/waveforms.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/_arraytools.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/_upfirdn.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/spline.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/lti_conversion.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/ltisys.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/spectral.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/fir_filter_design.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/windows.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/_peak_finding.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/wavelets.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/signaltools.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/filter_design.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/_max_len_seq_inner.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/_max_len_seq.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/_spectral.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
copying build/lib.linux-x86_64-2.7/scipy/signal/bsplines.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/arff
copying build/lib.linux-x86_64-2.7/scipy/io/arff/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/arff
copying build/lib.linux-x86_64-2.7/scipy/io/arff/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/arff
copying build/lib.linux-x86_64-2.7/scipy/io/arff/arffread.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/arff
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/harwell_boeing
copying build/lib.linux-x86_64-2.7/scipy/io/harwell_boeing/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/harwell_boeing
copying build/lib.linux-x86_64-2.7/scipy/io/harwell_boeing/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/harwell_boeing
copying build/lib.linux-x86_64-2.7/scipy/io/harwell_boeing/hb.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/harwell_boeing
copying build/lib.linux-x86_64-2.7/scipy/io/harwell_boeing/_fortran_format_parser.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/harwell_boeing
copying build/lib.linux-x86_64-2.7/scipy/io/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io
copying build/lib.linux-x86_64-2.7/scipy/io/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io
copying build/lib.linux-x86_64-2.7/scipy/io/idl.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io
copying build/lib.linux-x86_64-2.7/scipy/io/_fortran.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io
copying build/lib.linux-x86_64-2.7/scipy/io/wavfile.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io
copying build/lib.linux-x86_64-2.7/scipy/io/netcdf.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab
copying build/lib.linux-x86_64-2.7/scipy/io/matlab/mio4.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab
copying build/lib.linux-x86_64-2.7/scipy/io/matlab/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab
copying build/lib.linux-x86_64-2.7/scipy/io/matlab/byteordercodes.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab
copying build/lib.linux-x86_64-2.7/scipy/io/matlab/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab
copying build/lib.linux-x86_64-2.7/scipy/io/matlab/streams.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab
copying build/lib.linux-x86_64-2.7/scipy/io/matlab/mio.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab
copying build/lib.linux-x86_64-2.7/scipy/io/matlab/mio5_utils.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab
copying build/lib.linux-x86_64-2.7/scipy/io/matlab/mio5.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab
copying build/lib.linux-x86_64-2.7/scipy/io/matlab/miobase.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab
copying build/lib.linux-x86_64-2.7/scipy/io/matlab/mio_utils.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab
copying build/lib.linux-x86_64-2.7/scipy/io/matlab/mio5_params.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab
copying build/lib.linux-x86_64-2.7/scipy/io/mmio.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage
copying build/lib.linux-x86_64-2.7/scipy/ndimage/fourier.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage
copying build/lib.linux-x86_64-2.7/scipy/ndimage/_ni_label.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage
copying build/lib.linux-x86_64-2.7/scipy/ndimage/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage
copying build/lib.linux-x86_64-2.7/scipy/ndimage/_nd_image.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage
copying build/lib.linux-x86_64-2.7/scipy/ndimage/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage
copying build/lib.linux-x86_64-2.7/scipy/ndimage/_ni_support.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage
copying build/lib.linux-x86_64-2.7/scipy/ndimage/interpolation.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage
copying build/lib.linux-x86_64-2.7/scipy/ndimage/filters.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage
copying build/lib.linux-x86_64-2.7/scipy/ndimage/measurements.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage
copying build/lib.linux-x86_64-2.7/scipy/ndimage/io.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage
copying build/lib.linux-x86_64-2.7/scipy/ndimage/morphology.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage
copying build/lib.linux-x86_64-2.7/scipy/__config__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/_decomp_qz.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/_decomp_polar.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/_expm_frechet.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/_clapack.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/cython_blas.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/lapack.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/_matfuncs_inv_ssq.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/blas.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/basic.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/cython_lapack.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/interpolative.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/decomp.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/_interpolative.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/_decomp_update.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/calc_lwork.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/_cblas.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/_matfuncs_sqrtm.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/_calc_lwork.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/special_matrices.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/_interpolative_backend.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/_testutils.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/decomp_svd.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/_flinalg.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/_fblas.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/_flapack.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/matfuncs.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/decomp_cholesky.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/_cython_wrapper_generators.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/misc.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/decomp_lu.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/linalg_version.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/_solvers.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/decomp_schur.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/_solve_toeplitz.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/flinalg.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/_procrustes.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/_cython_signature_generator.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
copying build/lib.linux-x86_64-2.7/scipy/linalg/decomp_qr.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib
copying build/lib.linux-x86_64-2.7/scipy/_lib/_version.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib
copying build/lib.linux-x86_64-2.7/scipy/_lib/_threadsafety.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib
copying build/lib.linux-x86_64-2.7/scipy/_lib/_util.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib
copying build/lib.linux-x86_64-2.7/scipy/_lib/decorator.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib
copying build/lib.linux-x86_64-2.7/scipy/_lib/six.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib
copying build/lib.linux-x86_64-2.7/scipy/_lib/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib
copying build/lib.linux-x86_64-2.7/scipy/_lib/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib
copying build/lib.linux-x86_64-2.7/scipy/_lib/_testutils.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib
copying build/lib.linux-x86_64-2.7/scipy/_lib/_tmpdirs.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib
copying build/lib.linux-x86_64-2.7/scipy/_lib/_numpy_compat.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib
copying build/lib.linux-x86_64-2.7/scipy/_lib/_gcutils.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/cluster
copying build/lib.linux-x86_64-2.7/scipy/cluster/hierarchy.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/cluster
copying build/lib.linux-x86_64-2.7/scipy/cluster/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/cluster
copying build/lib.linux-x86_64-2.7/scipy/cluster/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/cluster
copying build/lib.linux-x86_64-2.7/scipy/cluster/_vq.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/cluster
copying build/lib.linux-x86_64-2.7/scipy/cluster/_hierarchy.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/cluster
copying build/lib.linux-x86_64-2.7/scipy/cluster/vq.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/cluster
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special
copying build/lib.linux-x86_64-2.7/scipy/special/_mptestutils.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special
copying build/lib.linux-x86_64-2.7/scipy/special/lambertw.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special
copying build/lib.linux-x86_64-2.7/scipy/special/basic.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special
copying build/lib.linux-x86_64-2.7/scipy/special/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special
copying build/lib.linux-x86_64-2.7/scipy/special/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special
copying build/lib.linux-x86_64-2.7/scipy/special/generate_ufuncs.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special
copying build/lib.linux-x86_64-2.7/scipy/special/_ellip_harm.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special
copying build/lib.linux-x86_64-2.7/scipy/special/_testutils.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special
copying build/lib.linux-x86_64-2.7/scipy/special/add_newdocs.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special
copying build/lib.linux-x86_64-2.7/scipy/special/spfun_stats.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special
copying build/lib.linux-x86_64-2.7/scipy/special/_comb.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special
copying build/lib.linux-x86_64-2.7/scipy/special/specfun.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special
copying build/lib.linux-x86_64-2.7/scipy/special/orthogonal.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special
copying build/lib.linux-x86_64-2.7/scipy/special/_spherical_bessel.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special
copying build/lib.linux-x86_64-2.7/scipy/special/_ufuncs.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/_precompute
copying build/lib.linux-x86_64-2.7/scipy/special/_precompute/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/_precompute
copying build/lib.linux-x86_64-2.7/scipy/special/_precompute/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/_precompute
copying build/lib.linux-x86_64-2.7/scipy/special/_precompute/gammainc_asy.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/_precompute
copying build/lib.linux-x86_64-2.7/scipy/special/_precompute/utils.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/_precompute
copying build/lib.linux-x86_64-2.7/scipy/special/_precompute/gammainc_data.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/_precompute
copying build/lib.linux-x86_64-2.7/scipy/special/_ellip_harm_2.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special
copying build/lib.linux-x86_64-2.7/scipy/special/_ufuncs_cxx.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_build_utils
copying build/lib.linux-x86_64-2.7/scipy/_build_utils/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_build_utils
copying build/lib.linux-x86_64-2.7/scipy/_build_utils/_fortran.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_build_utils
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/stats.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/_distn_infrastructure.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/mstats_basic.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/_distr_params.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/_constants.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/_multivariate.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/kde.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/_stats.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/morestats.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/contingency.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/_stats_mstats_common.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/_discrete_distns.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/_tukeylambda_stats.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/mvn.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/vonmises.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/mstats.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/_continuous_distns.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/statlib.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/_binned_statistic.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/distributions.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
copying build/lib.linux-x86_64-2.7/scipy/stats/mstats_extras.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate
copying build/lib.linux-x86_64-2.7/scipy/interpolate/fitpack2.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate
copying build/lib.linux-x86_64-2.7/scipy/interpolate/_interpolate.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate
copying build/lib.linux-x86_64-2.7/scipy/interpolate/dfitpack.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate
copying build/lib.linux-x86_64-2.7/scipy/interpolate/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate
copying build/lib.linux-x86_64-2.7/scipy/interpolate/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate
copying build/lib.linux-x86_64-2.7/scipy/interpolate/rbf.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate
copying build/lib.linux-x86_64-2.7/scipy/interpolate/interpnd_info.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate
copying build/lib.linux-x86_64-2.7/scipy/interpolate/_cubic.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate
copying build/lib.linux-x86_64-2.7/scipy/interpolate/polyint.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate
copying build/lib.linux-x86_64-2.7/scipy/interpolate/interpolate.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate
copying build/lib.linux-x86_64-2.7/scipy/interpolate/interpolate_wrapper.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate
copying build/lib.linux-x86_64-2.7/scipy/interpolate/_fitpack.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate
copying build/lib.linux-x86_64-2.7/scipy/interpolate/ndgriddata.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate
copying build/lib.linux-x86_64-2.7/scipy/interpolate/fitpack.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate
copying build/lib.linux-x86_64-2.7/scipy/interpolate/interpnd.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate
copying build/lib.linux-x86_64-2.7/scipy/interpolate/_ppoly.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate
copying build/lib.linux-x86_64-2.7/scipy/version.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial
copying build/lib.linux-x86_64-2.7/scipy/spatial/_spherical_voronoi.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial
copying build/lib.linux-x86_64-2.7/scipy/spatial/setup.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial
copying build/lib.linux-x86_64-2.7/scipy/spatial/_distance_wrap.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial
copying build/lib.linux-x86_64-2.7/scipy/spatial/__init__.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial
copying build/lib.linux-x86_64-2.7/scipy/spatial/distance.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial
copying build/lib.linux-x86_64-2.7/scipy/spatial/kdtree.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial
copying build/lib.linux-x86_64-2.7/scipy/spatial/qhull.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial
copying build/lib.linux-x86_64-2.7/scipy/spatial/ckdtree.so -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial
copying build/lib.linux-x86_64-2.7/scipy/spatial/_plotutils.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial
copying build/lib.linux-x86_64-2.7/scipy/spatial/_procrustes.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/fftpack_version.py to fftpack_version.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/basic.py to basic.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/pseudo_diffs.py to pseudo_diffs.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/realtransforms.py to realtransforms.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/helper.py to helper.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tnc.py to tnc.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_differentialevolution.py to _differentialevolution.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_numdiff.py to _numdiff.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/lbfgsb.py to lbfgsb.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_basinhopping.py to _basinhopping.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lsq/trf.py to trf.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lsq/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lsq/common.py to common.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lsq/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lsq/bvls.py to bvls.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lsq/dogbox.py to dogbox.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lsq/trf_linear.py to trf_linear.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lsq/lsq_linear.py to lsq_linear.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lsq/least_squares.py to least_squares.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/zeros.py to zeros.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_tstutils.py to _tstutils.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/cobyla.py to cobyla.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/slsqp.py to slsqp.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_root.py to _root.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_hungarian.py to _hungarian.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_trustregion.py to _trustregion.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/nonlin.py to nonlin.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/minpack.py to minpack.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_trustregion_ncg.py to _trustregion_ncg.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/linesearch.py to linesearch.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_spectral.py to _spectral.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_minimize.py to _minimize.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/optimize.py to optimize.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/nnls.py to nnls.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_trustregion_dogleg.py to _trustregion_dogleg.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_linprog.py to _linprog.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/common_info.py to common_info.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/swigptr.py to swigptr.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/bytecodecompiler.py to bytecodecompiler.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/standard_array_spec.py to standard_array_spec.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/size_check.py to size_check.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/platform_info.py to platform_info.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/cpp_namespace_spec.py to cpp_namespace_spec.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/ext_tools.py to ext_tools.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/c_spec.py to c_spec.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz_tools.py to blitz_tools.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/swig2_spec.py to swig2_spec.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/converters.py to converters.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/_dumb_shelve.py to _dumb_shelve.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/slice_handler.py to slice_handler.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/build_tools.py to build_tools.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/base_spec.py to base_spec.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/base_info.py to base_info.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/_dumbdbm_patched.py to _dumbdbm_patched.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/weave_version.py to weave_version.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz_spec.py to blitz_spec.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/vtk_spec.py to vtk_spec.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/catalog.py to catalog.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/inline_tools.py to inline_tools.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/swigptr2.py to swigptr2.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/ast_tools.py to ast_tools.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/accelerate_tools.py to accelerate_tools.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/numpy_scalar_spec.py to numpy_scalar_spec.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/constants/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/constants/constants.py to constants.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/constants/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/constants/codata.py to codata.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/quadrature.py to quadrature.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/quadpack.py to quadpack.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/_ode.py to _ode.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/_bvp.py to _bvp.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/odepack.py to odepack.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/odr/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/odr/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/odr/odrpack.py to odrpack.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/odr/add_newdocs.py to add_newdocs.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/odr/models.py to models.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/common.py to common.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/doccer.py to doccer.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/pilutil.py to pilutil.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/spfuncs.py to spfuncs.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/dok.py to dok.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/bsr.py to bsr.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/construct.py to construct.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/sputils.py to sputils.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/coo.py to coo.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/data.py to data.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/sparsetools.py to sparsetools.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/lil.py to lil.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/dia.py to dia.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve/lsqr.py to lsqr.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve/lsmr.py to lsmr.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve/minres.py to minres.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve/utils.py to utils.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve/iterative.py to iterative.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve/lgmres.py to lgmres.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/_expm_multiply.py to _expm_multiply.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/interface.py to interface.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/dsolve/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/dsolve/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/dsolve/linsolve.py to linsolve.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/dsolve/_add_newdocs.py to _add_newdocs.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/arpack/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/arpack/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/arpack/arpack.py to arpack.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/lobpcg/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/lobpcg/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/lobpcg/lobpcg.py to lobpcg.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/_onenormest.py to _onenormest.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/matfuncs.py to matfuncs.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/_norm.py to _norm.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/extract.py to extract.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/compressed.py to compressed.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csr.py to csr.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/base.py to base.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csc.py to csc.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph/_laplacian.py to _laplacian.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph/_components.py to _components.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph/_validation.py to _validation.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/generate_sparsetools.py to generate_sparsetools.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/_savitzky_golay.py to _savitzky_golay.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/waveforms.py to waveforms.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/_arraytools.py to _arraytools.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/_upfirdn.py to _upfirdn.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/lti_conversion.py to lti_conversion.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/ltisys.py to ltisys.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/spectral.py to spectral.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/fir_filter_design.py to fir_filter_design.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/windows.py to windows.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/_peak_finding.py to _peak_finding.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/wavelets.py to wavelets.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/signaltools.py to signaltools.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/filter_design.py to filter_design.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/_max_len_seq.py to _max_len_seq.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/bsplines.py to bsplines.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/arff/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/arff/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/arff/arffread.py to arffread.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/harwell_boeing/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/harwell_boeing/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/harwell_boeing/hb.py to hb.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/harwell_boeing/_fortran_format_parser.py to _fortran_format_parser.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/idl.py to idl.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/_fortran.py to _fortran.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/wavfile.py to wavfile.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/netcdf.py to netcdf.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/mio4.py to mio4.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/byteordercodes.py to byteordercodes.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/mio.py to mio.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/mio5.py to mio5.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/miobase.py to miobase.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/mio5_params.py to mio5_params.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/mmio.py to mmio.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/fourier.py to fourier.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/_ni_support.py to _ni_support.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/interpolation.py to interpolation.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/filters.py to filters.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/measurements.py to measurements.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/io.py to io.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/morphology.py to morphology.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/__config__.py to __config__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/_decomp_qz.py to _decomp_qz.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/_decomp_polar.py to _decomp_polar.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/_expm_frechet.py to _expm_frechet.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/lapack.py to lapack.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/_matfuncs_inv_ssq.py to _matfuncs_inv_ssq.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/blas.py to blas.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/basic.py to basic.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/interpolative.py to interpolative.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/decomp.py to decomp.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/calc_lwork.py to calc_lwork.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/_matfuncs_sqrtm.py to _matfuncs_sqrtm.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/special_matrices.py to special_matrices.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/_interpolative_backend.py to _interpolative_backend.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/_testutils.py to _testutils.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/decomp_svd.py to decomp_svd.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/matfuncs.py to matfuncs.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/decomp_cholesky.py to decomp_cholesky.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/_cython_wrapper_generators.py to _cython_wrapper_generators.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/misc.py to misc.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/decomp_lu.py to decomp_lu.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/linalg_version.py to linalg_version.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/_solvers.py to _solvers.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/decomp_schur.py to decomp_schur.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/flinalg.py to flinalg.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/_procrustes.py to _procrustes.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/_cython_signature_generator.py to _cython_signature_generator.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/decomp_qr.py to decomp_qr.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib/_version.py to _version.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib/_threadsafety.py to _threadsafety.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib/_util.py to _util.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib/decorator.py to decorator.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib/six.py to six.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib/_testutils.py to _testutils.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib/_tmpdirs.py to _tmpdirs.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib/_numpy_compat.py to _numpy_compat.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib/_gcutils.py to _gcutils.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/cluster/hierarchy.py to hierarchy.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/cluster/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/cluster/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/cluster/vq.py to vq.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/_mptestutils.py to _mptestutils.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/lambertw.py to lambertw.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/basic.py to basic.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/generate_ufuncs.py to generate_ufuncs.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/_ellip_harm.py to _ellip_harm.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/_testutils.py to _testutils.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/add_newdocs.py to add_newdocs.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/spfun_stats.py to spfun_stats.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/orthogonal.py to orthogonal.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/_spherical_bessel.py to _spherical_bessel.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/_precompute/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/_precompute/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/_precompute/gammainc_asy.py to gammainc_asy.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/_precompute/utils.py to utils.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/_precompute/gammainc_data.py to gammainc_data.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_build_utils/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_build_utils/_fortran.py to _fortran.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/stats.py to stats.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/_distn_infrastructure.py to _distn_infrastructure.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/mstats_basic.py to mstats_basic.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/_distr_params.py to _distr_params.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/_constants.py to _constants.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/_multivariate.py to _multivariate.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/kde.py to kde.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/morestats.py to morestats.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/contingency.py to contingency.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/_stats_mstats_common.py to _stats_mstats_common.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/_discrete_distns.py to _discrete_distns.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/_tukeylambda_stats.py to _tukeylambda_stats.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/vonmises.py to vonmises.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/mstats.py to mstats.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/_continuous_distns.py to _continuous_distns.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/_binned_statistic.py to _binned_statistic.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/distributions.py to distributions.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/mstats_extras.py to mstats_extras.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/fitpack2.py to fitpack2.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/rbf.py to rbf.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/interpnd_info.py to interpnd_info.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/_cubic.py to _cubic.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/polyint.py to polyint.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/interpolate.py to interpolate.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/interpolate_wrapper.py to interpolate_wrapper.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/ndgriddata.py to ndgriddata.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/fitpack.py to fitpack.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/version.py to version.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/_spherical_voronoi.py to _spherical_voronoi.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/setup.py to setup.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/__init__.py to __init__.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/distance.py to distance.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/kdtree.py to kdtree.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/_plotutils.py to _plotutils.pyc
byte-compiling /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/_procrustes.py to _procrustes.pyc
running install_data
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/dsolve/tests
copying scipy/sparse/linalg/dsolve/tests/test_linsolve.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/dsolve/tests/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph/tests
copying scipy/sparse/csgraph/tests/test_reordering.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph/tests/
copying scipy/sparse/csgraph/tests/test_connected_components.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph/tests/
copying scipy/sparse/csgraph/tests/test_conversions.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph/tests/
copying scipy/sparse/csgraph/tests/test_graph_laplacian.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph/tests/
copying scipy/sparse/csgraph/tests/test_traversal.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph/tests/
copying scipy/sparse/csgraph/tests/test_shortest_path.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph/tests/
copying scipy/sparse/csgraph/tests/test_spanning_tree.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph/tests/
copying scipy/sparse/csgraph/tests/test_graph_components.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph/tests/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/data
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/data/nist_linregress
copying scipy/stats/tests/data/nist_linregress/Norris.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/data/nist_linregress
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz
copying scipy/weave/blitz/blitz/random.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/config.h.in -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/tuning.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/reduce.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecmin.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecdot.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/promote-old.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/rand-uniform.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/rand-dunif.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecglobs.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/veccount.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/wrap-climits.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecdelta.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/rand-tt800.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/bzconfig.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/tvecglobs.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/tiny.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecwhere.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecbfn.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/tinyvec.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/matexpr.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/traversal.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/funcs.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/array.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/matutri.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecmax.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/matsymm.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/matgen.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/compiler.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/tinyvec.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/applics.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/prettyprint.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vector-et.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/tinyveciter.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/matref.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/memblock.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vector.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/indexexpr.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/tinymatexpr.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecsum.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/etbase.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/array-impl.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/README -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecexpr.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/randref.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/minmax.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/matltri.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/array-old.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecpickiter.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/zero.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/ops.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/numtrait.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/tau.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/veciter.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/tinymatio.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/benchext.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/extremum.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecglobs.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/mstruct.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/matdiag.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/Makefile.am -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecuops.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/traversal.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/mathfunc.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/benchext.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecpick.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/Makefile.in -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecexprwrap.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/matuops.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecbops.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/matrix.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecpick.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/update.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/bzdebug.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vector.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/tinyvecio.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecnorm1.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/numinquire.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/shapecheck.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/timer.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/blitz.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecio.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/matrix.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/limits-hack.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/tinymat.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecwhere.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecall.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/mathf2.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/memblock.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecnorm.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/range.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecany.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/tinyvec-et.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/tvcross.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/bench.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/mattoep.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecaccum.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/vecpickio.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/matbops.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/listinit.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/promote.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/zero.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/rand-normal.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
copying scipy/weave/blitz/blitz/bench.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/tests
copying scipy/sparse/tests/test_construct.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/tests/
copying scipy/sparse/tests/test_csr.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/tests/
copying scipy/sparse/tests/test_spfuncs.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/tests/
copying scipy/sparse/tests/test_extract.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/tests/
copying scipy/sparse/tests/test_sputils.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/tests/
copying scipy/sparse/tests/test_base.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/tests/
copying scipy/sparse/tests/test_sparsetools.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/tests/
copying scipy/sparse/tests/test_csc.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/tests/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/tests
copying scipy/interpolate/tests/test_regression.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/tests/
copying scipy/interpolate/tests/test_rbf.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/tests/
copying scipy/interpolate/tests/test_ndgriddata.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/tests/
copying scipy/interpolate/tests/test_fitpack.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/tests/
copying scipy/interpolate/tests/test_fitpack2.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/tests/
copying scipy/interpolate/tests/test_interpolate.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/tests/
copying scipy/interpolate/tests/test_polyint.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/tests/
copying scipy/interpolate/tests/test_gil.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/tests/
copying scipy/interpolate/tests/test_interpnd.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/tests/
copying scipy/interpolate/tests/test_interpolate_wrapper.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/tests/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests/data
copying scipy/special/tests/data/boost.npz -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests/data
copying scipy/special/tests/data/local.npz -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests/data
copying scipy/special/tests/data/gsl.npz -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests/data
copying scipy/special/tests/data/README -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests/data
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/tests
copying scipy/weave/tests/scxx_timings.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/tests/
copying scipy/weave/tests/test_build_tools.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/tests/
copying scipy/weave/tests/test_blitz_tools.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/tests/
copying scipy/weave/tests/test_scxx_dict.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/tests/
copying scipy/weave/tests/test_standard_array_spec.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/tests/
copying scipy/weave/tests/test_inline_tools.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/tests/
copying scipy/weave/tests/test_c_spec.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/tests/
copying scipy/weave/tests/test_ast_tools.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/tests/
copying scipy/weave/tests/test_scxx_sequence.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/tests/
copying scipy/weave/tests/test_slice_handler.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/tests/
copying scipy/weave/tests/test_numpy_scalar_spec.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/tests/
copying scipy/weave/tests/test_scxx_object.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/tests/
copying scipy/weave/tests/test_ext_tools.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/tests/
copying scipy/weave/tests/test_catalog.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/tests/
copying scipy/weave/tests/weave_test_utils.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/tests/
copying scipy/weave/tests/test_size_check.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/tests/
copying scipy/stats/tests/test_rank.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/
copying scipy/stats/tests/test_kdeoth.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/
copying scipy/stats/tests/test_morestats.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/
copying scipy/stats/tests/test_fit.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/
copying scipy/stats/tests/test_discrete_basic.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/
copying scipy/stats/tests/test_distributions.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/
copying scipy/stats/tests/test_binned_statistic.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/
copying scipy/stats/tests/test_contingency.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/
copying scipy/stats/tests/test_multivariate.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/
copying scipy/stats/tests/test_stats.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/
copying scipy/stats/tests/common_tests.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/
copying scipy/stats/tests/test_mstats_basic.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/
copying scipy/stats/tests/test_tukeylambda_stats.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/
copying scipy/stats/tests/test_mstats_extras.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/
copying scipy/stats/tests/test_continuous_basic.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/arpack/tests
copying scipy/sparse/linalg/eigen/arpack/tests/test_arpack.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/arpack/tests/
copying scipy/linalg/cython_lapack.pxd -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/
copying scipy/linalg/cython_blas.pxd -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/data/nist_anova
copying scipy/stats/tests/data/nist_anova/AtmWtAg.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/data/nist_anova
copying scipy/stats/tests/data/nist_anova/SmLs09.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/data/nist_anova
copying scipy/stats/tests/data/nist_anova/SiRstv.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/data/nist_anova
copying scipy/stats/tests/data/nist_anova/SmLs02.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/data/nist_anova
copying scipy/stats/tests/data/nist_anova/SmLs03.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/data/nist_anova
copying scipy/stats/tests/data/nist_anova/SmLs05.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/data/nist_anova
copying scipy/stats/tests/data/nist_anova/SmLs07.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/data/nist_anova
copying scipy/stats/tests/data/nist_anova/SmLs04.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/data/nist_anova
copying scipy/stats/tests/data/nist_anova/SmLs06.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/data/nist_anova
copying scipy/stats/tests/data/nist_anova/SmLs01.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/data/nist_anova
copying scipy/stats/tests/data/nist_anova/SmLs08.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/tests/data/nist_anova
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve/tests
copying scipy/sparse/linalg/isolve/tests/demo_lgmres.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve/tests/
copying scipy/sparse/linalg/isolve/tests/test_lsmr.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve/tests/
copying scipy/sparse/linalg/isolve/tests/test_utils.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve/tests/
copying scipy/sparse/linalg/isolve/tests/test_iterative.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve/tests/
copying scipy/sparse/linalg/isolve/tests/test_lgmres.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve/tests/
copying scipy/sparse/linalg/isolve/tests/test_lsqr.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve/tests/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/odr/tests
copying scipy/odr/tests/test_odr.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/odr/tests/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/cluster/tests
copying scipy/cluster/tests/hierarchy_test_data.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/cluster/tests/
copying scipy/cluster/tests/test_vq.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/cluster/tests/
copying scipy/cluster/tests/test_hierarchy.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/cluster/tests/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/tests
copying scipy/integrate/tests/test_banded_ode_solvers.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/tests/
copying scipy/integrate/tests/test_quadpack.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/tests/
copying scipy/integrate/tests/test_odeint_jac.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/tests/
copying scipy/integrate/tests/test_bvp.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/tests/
copying scipy/integrate/tests/_test_multivariate.c -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/tests/
copying scipy/integrate/tests/test_integrate.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/tests/
copying scipy/integrate/tests/test_quadrature.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/tests/
copying scipy/integrate/tests/banded5x5.f -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/tests/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/tests/data
copying scipy/interpolate/tests/data/estimate_gradients_hang.npy -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/tests/data
copying scipy/interpolate/tests/data/bug-1310.npz -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/tests/data
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/scxx
copying scipy/weave/scxx/sequence.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/scxx/
copying scipy/weave/scxx/dict.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/scxx/
copying scipy/weave/scxx/number.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/scxx/
copying scipy/weave/scxx/scxx.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/scxx/
copying scipy/weave/scxx/object.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/scxx/
copying scipy/weave/scxx/tuple.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/scxx/
copying scipy/weave/scxx/notes.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/scxx/
copying scipy/weave/scxx/weave_imp.cpp -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/scxx/
copying scipy/weave/scxx/README.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/scxx/
copying scipy/weave/scxx/list.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/scxx/
copying scipy/weave/scxx/str.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/scxx/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests
copying scipy/spatial/tests/test__procrustes.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/
copying scipy/spatial/tests/test_spherical_voronoi.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/
copying scipy/spatial/tests/test_qhull.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/
copying scipy/spatial/tests/test_kdtree.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/
copying scipy/spatial/tests/test__plotutils.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/
copying scipy/spatial/tests/test_distance.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/scalar_complex64.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/fortran-sf8-5x3x1.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/struct_pointers_replicated_3d.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/test-48000Hz-2ch-64bit-float-le-wavex.wav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/scalar_string.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/array_float32_7d.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/fortran-si4-1x1x1.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/example_3_maskedvals.nc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/fortran-si4-22x10x15.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/array_float32_4d.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/struct_scalars.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/scalar_uint64.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/struct_pointer_arrays.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/fortran-sf8-5x1x1.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/array_float32_pointer_6d.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/example_1.nc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/various_compressed.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/array_float32_pointer_2d.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/test-44100Hz-2ch-32bit-float-be.wav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/fortran-si4-10x1x11.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/scalar_float64.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/scalar_float32.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/struct_scalars_replicated.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/invalid_pointer.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/struct_pointer_arrays_replicated_3d.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/fortran-si4-5x1x1.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/array_float32_pointer_8d.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/array_float32_pointer_1d.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/array_float32_pointer_4d.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/struct_arrays.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/array_float32_8d.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/struct_arrays_byte_idl80.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/fortran-si4-7x1x1.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/scalar_heap_pointer.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/fortran-sf8-1x1x1.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/array_float32_2d.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/scalar_int32.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/array_float32_pointer_7d.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/fortran-sf8-22x10x15.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/test-44100Hz-le-1ch-4bytes.wav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/example_2.nc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/struct_scalars_replicated_3d.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/scalar_uint16.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/array_float32_5d.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/scalar_uint32.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/fortran-mixed.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/scalar_int16.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/struct_pointers_replicated.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/struct_pointers.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/array_float32_6d.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/fortran-si4-5x3x1.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/array_float32_pointer_3d.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/scalar_complex32.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/array_float32_3d.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/fortran-sf8-10x1x11.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/scalar_byte.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/struct_inherit.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/scalar_byte_descr.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/fortran-sf8-7x1x1.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/struct_arrays_replicated_3d.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/test-8000Hz-le-2ch-1byteu.wav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/array_float32_1d.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/struct_arrays_replicated.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/array_float32_pointer_5d.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/test-44100Hz-2ch-32bit-float-le.wav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/struct_pointer_arrays_replicated.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/null_pointer.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
copying scipy/io/tests/data/scalar_int64.sav -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/data
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests
copying scipy/optimize/tests/test_zeros.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
copying scipy/optimize/tests/test__root.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
copying scipy/optimize/tests/test_nnls.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
copying scipy/optimize/tests/test_minpack.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
copying scipy/optimize/tests/test_cobyla.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
copying scipy/optimize/tests/test_lbfgsb_hessinv.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
copying scipy/optimize/tests/test__differential_evolution.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
copying scipy/optimize/tests/test_lsq_common.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
copying scipy/optimize/tests/test__spectral.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
copying scipy/optimize/tests/test_optimize.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
copying scipy/optimize/tests/test_lsq_linear.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
copying scipy/optimize/tests/test_linprog.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
copying scipy/optimize/tests/test_nonlin.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
copying scipy/optimize/tests/test__numdiff.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
copying scipy/optimize/tests/test__basinhopping.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
copying scipy/optimize/tests/test_hungarian.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
copying scipy/optimize/tests/test_tnc.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
copying scipy/optimize/tests/test_trustregion.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
copying scipy/optimize/tests/test_linesearch.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
copying scipy/optimize/tests/test_least_squares.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
copying scipy/optimize/tests/test_regression.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
copying scipy/optimize/tests/test_slsqp.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/tests/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/tests
copying scipy/signal/tests/test_peak_finding.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/tests/
copying scipy/signal/tests/test_signaltools.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/tests/
copying scipy/signal/tests/test_ltisys.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/tests/
copying scipy/signal/tests/test_dltisys.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/tests/
copying scipy/signal/tests/test_savitzky_golay.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/tests/
copying scipy/signal/tests/test_fir_filter_design.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/tests/
copying scipy/signal/tests/test_spectral.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/tests/
copying scipy/signal/tests/test_max_len_seq.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/tests/
copying scipy/signal/tests/test_wavelets.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/tests/
copying scipy/signal/tests/test_array_tools.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/tests/
copying scipy/signal/tests/test_waveforms.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/tests/
copying scipy/signal/tests/test_windows.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/tests/
copying scipy/signal/tests/test_filter_design.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/tests/
copying scipy/signal/tests/test_upfirdn.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/tests/
copying scipy/signal/tests/test_cont2discrete.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/tests/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests
copying scipy/io/matlab/tests/test_mio_utils.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/
copying scipy/io/matlab/tests/gen_mat5files.m -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/
copying scipy/io/matlab/tests/test_streams.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/
copying scipy/io/matlab/tests/test_mio.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/
copying scipy/io/matlab/tests/test_mio_funcs.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/
copying scipy/io/matlab/tests/test_miobase.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/
copying scipy/io/matlab/tests/gen_mat4files.m -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/
copying scipy/io/matlab/tests/test_pathological.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/
copying scipy/io/matlab/tests/afunc.m -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/
copying scipy/io/matlab/tests/save_matfile.m -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/
copying scipy/io/matlab/tests/test_byteordercodes.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/
copying scipy/io/matlab/tests/test_mio5_utils.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/
copying scipy/special/tests/test_loggamma.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests
copying scipy/special/tests/test_spherical_bessel.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests
copying scipy/special/tests/test_boxcox.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests
copying scipy/special/tests/test_orthogonal_eval.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests
copying scipy/special/tests/test_spfun_stats.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests
copying scipy/special/tests/test_digamma.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests
copying scipy/special/tests/test_basic.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests
copying scipy/special/tests/test_precompute_utils.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests
copying scipy/special/tests/test_spence.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests
copying scipy/special/tests/test_mpmath.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests
copying scipy/special/tests/test_data.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests
copying scipy/special/tests/test_precompute_gammainc.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests
copying scipy/special/tests/test_orthogonal.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests
copying scipy/special/tests/test_ellip_harm.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests
copying scipy/special/tests/test_logit.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests
copying scipy/special/tests/test_gammainc.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests
copying scipy/special/tests/test_lambertw.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/tests
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/5x5x4.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/4x5x3.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/5x4x4.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/4x4x4.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/icon_mono_flat.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/box1.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/3x3x4.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/blocks2bit.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/4x3x3.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/4x3x4.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/5x3x4.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/3x4x3.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/4x4x3.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/5x5x3.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/5x3x3.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/3x5x4.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/3x4x4.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/pattern4bit.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/4x5x4.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/3x3x3.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/icon.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/foo3x5x4indexed.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/5x4x3.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/icon_mono.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
copying scipy/misc/tests/data/3x5x3.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/data
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/arff/tests
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/arff/tests/data
copying scipy/io/arff/tests/data/test3.arff -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/arff/tests/data
copying scipy/io/arff/tests/data/test8.arff -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/arff/tests/data
copying scipy/io/arff/tests/data/test7.arff -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/arff/tests/data
copying scipy/io/arff/tests/data/test1.arff -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/arff/tests/data
copying scipy/io/arff/tests/data/nodata.arff -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/arff/tests/data
copying scipy/io/arff/tests/data/test4.arff -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/arff/tests/data
copying scipy/io/arff/tests/data/test5.arff -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/arff/tests/data
copying scipy/io/arff/tests/data/iris.arff -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/arff/tests/data
copying scipy/io/arff/tests/data/test6.arff -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/arff/tests/data
copying scipy/io/arff/tests/data/missing.arff -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/arff/tests/data
copying scipy/io/arff/tests/data/test2.arff -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/arff/tests/data
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/lobpcg/tests
copying scipy/sparse/linalg/eigen/lobpcg/tests/test_lobpcg.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/lobpcg/tests/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/tests
copying scipy/linalg/tests/test_procrustes.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/tests/
copying scipy/linalg/tests/test_solve_toeplitz.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/tests/
copying scipy/linalg/tests/test_fblas.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/tests/
copying scipy/linalg/tests/test_decomp.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/tests/
copying scipy/linalg/tests/test_decomp_polar.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/tests/
copying scipy/linalg/tests/test_interpolative.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/tests/
copying scipy/linalg/tests/test_matfuncs.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/tests/
copying scipy/linalg/tests/test_lapack.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/tests/
copying scipy/linalg/tests/test_build.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/tests/
copying scipy/linalg/tests/test_decomp_cholesky.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/tests/
copying scipy/linalg/tests/test_basic.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/tests/
copying scipy/linalg/tests/test_decomp_update.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/tests/
copying scipy/linalg/tests/test_special_matrices.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/tests/
copying scipy/linalg/tests/test_solvers.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/tests/
copying scipy/linalg/tests/test_cython_lapack.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/tests/
copying scipy/linalg/tests/test_cython_blas.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/tests/
copying scipy/linalg/tests/test_blas.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/tests/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib/tests
copying scipy/_lib/tests/test__util.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib/tests
copying scipy/_lib/tests/test__threadsafety.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib/tests
copying scipy/_lib/tests/test_tmpdirs.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib/tests
copying scipy/_lib/tests/test__version.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib/tests
copying scipy/_lib/tests/test__gcutils.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/_lib/tests
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/tests
copying scipy/sparse/linalg/tests/test_norm.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/tests/
copying scipy/sparse/linalg/tests/test_onenormest.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/tests/
copying scipy/sparse/linalg/tests/test_interface.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/tests/
copying scipy/sparse/linalg/tests/test_expm_multiply.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/tests/
copying scipy/sparse/linalg/tests/test_matfuncs.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/tests/
copying HACKING.rst.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy
copying BENTO_BUILD.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy
copying LICENSE.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy
copying INSTALL.rst.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy
copying THANKS.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy
copying scipy/linalg.pxd -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/tests
copying scipy/ndimage/tests/dots.png -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/tests/
copying scipy/ndimage/tests/test_filters.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/tests/
copying scipy/ndimage/tests/test_measurements.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/tests/
copying scipy/ndimage/tests/test_ndimage.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/tests/
copying scipy/ndimage/tests/test_io.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/tests/
copying scipy/ndimage/tests/test_datatypes.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/tests/
copying scipy/ndimage/tests/test_regression.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/tests/
copying scipy/misc/tests/test_pilutil.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/
copying scipy/misc/tests/test_common.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/
copying scipy/misc/tests/test_doccer.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/tests/
copying scipy/io/arff/tests/test_arffread.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/arff/tests/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testcell_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststring_7.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststringarray_7.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/test3dmatrix_7.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testminus_6.1_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testbool_8_WIN64.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testunicode_7.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/test3dmatrix_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testemptycell_6.5.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststructarr_7.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testemptycell_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testmatrix_4.2c_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testcell_6.5.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststructarr_6.1_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/miuint32_for_miint32.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststring_6.5.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/corrupted_zlib_checksum.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststruct_6.1_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testmatrix_6.5.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/miutf8_array_name.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testdouble_7.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/test3dmatrix_6.1_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststringarray_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testobject_6.1_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testsparsecomplex_4.2c_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testonechar_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testsparsecomplex_6.1_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testsparse_6.1_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststring_6.1_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testcomplex_7.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/bad_miutf8_array_name.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/single_empty_string.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststringarray_4.2c_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testcomplex_6.1_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testmulti_7.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststructnest_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/japanese_utf8.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/big_endian.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststringarray_6.1_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testsparse_7.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testmulti_4.2c_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testsparse_4.2c_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testonechar_6.5.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/logical_sparse.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testonechar_6.1_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testmatrix_7.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testsparse_6.5.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/nasty_duplicate_fieldnames.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/sqr.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testcomplex_6.5.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testvec_4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testcellnest_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/malformed1.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testcomplex_4.2c_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testemptycell_5.3_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testfunc_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststructnest_6.1_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testmatrix_6.1_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testsparsefloat_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testdouble_6.5.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testmulti_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/bad_miuint32.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testminus_7.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testsparsecomplex_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testcellnest_7.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/little_endian.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststruct_6.5.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testminus_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/test_skip_variable.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststring_4.2c_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testunicode_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/some_functions.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testonechar_4.2c_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testdouble_4.2c_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststruct_7.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testscalarcell_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testcell_7.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststring_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/parabola.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststructnest_6.5.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testcellnest_6.1_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testdouble_6.1_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testdouble_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testemptycell_7.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testsparsecomplex_6.5.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testcell_6.1_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststructarr_6.5.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/broken_utf8.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testcomplex_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testsparsecomplex_7.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testminus_6.5.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststringarray_6.5.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststructarr_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testobject_6.5.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststructnest_7.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/test_mat4_le_floats.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testobject_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testmatrix_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testsparse_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testhdf5_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/corrupted_zlib_data.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testcellnest_6.5.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/test3dmatrix_6.5.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testonechar_7.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/one_by_zero_char.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testobject_7.1_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/testminus_4.2c_SOL2.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/teststruct_7.4_GLNX86.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
copying scipy/io/matlab/tests/data/test_empty_struct.mat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/pdist-cosine-ml.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/pdist-minkowski-5.8-ml-iris.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/pdist-minkowski-3.2-ml.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/iris.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/pdist-spearman-ml.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/degenerate_pointset.npz -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/pdist-hamming-ml.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/pdist-correlation-ml-iris.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/pdist-double-inp.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/pdist-seuclidean-ml.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/pdist-chebychev-ml.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/cdist-X1.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/random-bool-data.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/pdist-seuclidean-ml-iris.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/pdist-jaccard-ml.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/pdist-cityblock-ml-iris.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/pdist-cosine-ml-iris.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/pdist-minkowski-3.2-ml-iris.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/pdist-euclidean-ml-iris.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/pdist-correlation-ml.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/pdist-cityblock-ml.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/pdist-boolean-inp.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/pdist-euclidean-ml.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/pdist-chebychev-ml-iris.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
copying scipy/spatial/tests/data/cdist-X2.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/tests/data
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/generate
copying scipy/weave/blitz/blitz/generate/genpromote.cpp -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/generate
copying scipy/weave/blitz/blitz/generate/bzfstream.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/generate
copying scipy/weave/blitz/blitz/generate/Makefile.in -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/generate
copying scipy/weave/blitz/blitz/generate/optuple2.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/generate
copying scipy/weave/blitz/blitz/generate/genmatuops.cpp -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/generate
copying scipy/weave/blitz/blitz/generate/arroperands.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/generate
copying scipy/weave/blitz/blitz/generate/Makefile.am -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/generate
copying scipy/weave/blitz/blitz/generate/genarruops.cpp -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/generate
copying scipy/weave/blitz/blitz/generate/genarrbops.cpp -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/generate
copying scipy/weave/blitz/blitz/generate/arroptuple.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/generate
copying scipy/weave/blitz/blitz/generate/genmathfunc.cpp -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/generate
copying scipy/weave/blitz/blitz/generate/genmatbops.cpp -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/generate
copying scipy/weave/blitz/blitz/generate/genvecbops.cpp -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/generate
copying scipy/weave/blitz/blitz/generate/operands.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/generate
copying scipy/weave/blitz/blitz/generate/optuple.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/generate
copying scipy/weave/blitz/blitz/generate/genvecwhere.cpp -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/generate
copying scipy/weave/blitz/blitz/generate/operands2.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/generate
copying scipy/weave/blitz/blitz/generate/genvecuops.cpp -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/generate
copying scipy/weave/blitz/blitz/generate/genvecbfn.cpp -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/generate
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/gnu
copying scipy/weave/blitz/blitz/gnu/bzconfig.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/gnu
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/tests/data
copying scipy/ndimage/tests/data/README.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/tests/data
copying scipy/ndimage/tests/data/label_results.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/tests/data
copying scipy/ndimage/tests/data/label_strels.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/tests/data
copying scipy/ndimage/tests/data/label_inputs.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/tests/data
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/uops.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/resize.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/Makefile.am -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/multi.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/methods.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/stencilops.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/indirect.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/ops.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/convolve.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/Makefile.in -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/interlace.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/asexpr.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/reduce.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/stencil-et.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/bops.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/cycle.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/io.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/zip.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/map.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/storage.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/newet-macros.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/complex.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/slicing.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/fastiter.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/eval.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/cartesian.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/reduce.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/funcs.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/stencils.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/et.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/cgsolve.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/shape.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/newbops.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/geometry.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/misc.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/domain.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/slice.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/iter.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/where.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/expr.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/stencils.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/ops.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/stencil.cc -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/newet.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/convolve.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/functorExpr.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
copying scipy/weave/blitz/blitz/array/stencil.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/array
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/harwell_boeing/tests
copying scipy/io/harwell_boeing/tests/test_fortran_format.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/harwell_boeing/tests/
copying scipy/io/harwell_boeing/tests/test_hb.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/harwell_boeing/tests/
copying scipy/misc/ascent.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/
copying scipy/misc/face.dat -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/misc/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples
copying scipy/weave/examples/ramp.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/binary_search.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/md5_speed.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/support_code_example.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/py_none.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/functional.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/wx_example.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/vtk_example.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/tuple_return.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/dict_sort.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/wx_speed.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/swig2_example.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/vq.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/cast_copy_transpose.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/ramp2.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/swig2_ext.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/swig2_ext.i -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/increment_example.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/array3d.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/print_example.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/fibonacci.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/object.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
copying scipy/weave/examples/ramp.c -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/examples/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/constants/tests
copying scipy/constants/tests/test_constants.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/constants/tests/
copying scipy/constants/tests/test_codata.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/constants/tests/
copying scipy/io/tests/test_fortran.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/
copying scipy/io/tests/test_idl.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/
copying scipy/io/tests/test_wavfile.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/
copying scipy/io/tests/test_mmio.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/
copying scipy/io/tests/test_netcdf.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/tests/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/meta
copying scipy/weave/blitz/blitz/meta/metaprog.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/meta
copying scipy/weave/blitz/blitz/meta/matvec.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/meta
copying scipy/weave/blitz/blitz/meta/Makefile.in -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/meta
copying scipy/weave/blitz/blitz/meta/matmat.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/meta
copying scipy/weave/blitz/blitz/meta/sum.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/meta
copying scipy/weave/blitz/blitz/meta/vecassign.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/meta
copying scipy/weave/blitz/blitz/meta/matassign.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/meta
copying scipy/weave/blitz/blitz/meta/dot.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/meta
copying scipy/weave/blitz/blitz/meta/product.h -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/meta
copying scipy/weave/blitz/blitz/meta/Makefile.am -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/blitz/blitz/meta
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/tests
copying scipy/fftpack/tests/test_import.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/tests/
copying scipy/fftpack/tests/fftw_dct.c -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/tests/
copying scipy/fftpack/tests/gendata.m -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/tests/
copying scipy/fftpack/tests/test_real_transforms.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/tests/
copying scipy/fftpack/tests/fftw_double_ref.npz -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/tests/
copying scipy/fftpack/tests/gendata.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/tests/
copying scipy/fftpack/tests/test_basic.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/tests/
copying scipy/fftpack/tests/fftw_single_ref.npz -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/tests/
copying scipy/fftpack/tests/test.npz -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/tests/
copying scipy/fftpack/tests/test_helper.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/tests/
copying scipy/fftpack/tests/Makefile -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/tests/
copying scipy/fftpack/tests/test_pseudo_diffs.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/tests/
copying scipy/fftpack/tests/gen_fftw_ref.py -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/tests/
creating /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/doc
copying scipy/weave/doc/tutorial.txt -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/doc/
copying scipy/weave/doc/tutorial_original.html -> /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/weave/doc/
running install_clib
running install_egg_info
running egg_info
creating scipy.egg-info
writing scipy.egg-info/PKG-INFO
writing top-level names to scipy.egg-info/top_level.txt
writing dependency_links to scipy.egg-info/dependency_links.txt
writing manifest file 'scipy.egg-info/SOURCES.txt'
reading manifest file 'scipy.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
no previously-included directories found matching 'benchmarks/env'
no previously-included directories found matching 'benchmarks/results'
no previously-included directories found matching 'benchmarks/html'
no previously-included directories found matching 'benchmarks/scipy'
no previously-included directories found matching 'scipy/special/tests/data/boost'
no previously-included directories found matching 'scipy/special/tests/data/gsl'
no previously-included directories found matching 'doc/build'
no previously-included directories found matching 'doc/source/generated'
no previously-included directories found matching '*/__pycache__'
warning: no previously-included files matching '*~' found anywhere in distribution
warning: no previously-included files matching '*.bak' found anywhere in distribution
warning: no previously-included files matching '*.swp' found anywhere in distribution
warning: no previously-included files matching '*.pyo' found anywhere in distribution
writing manifest file 'scipy.egg-info/SOURCES.txt'
Copying scipy.egg-info to /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy-0.18.0-py2.7.egg-info
running install_scripts
+ /usr/lib/rpm/find-debuginfo.sh --strict-build-id -m --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 /builddir/build/BUILD/scipy-0.18.0
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/_fftpack.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/fftpack/convolve.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/moduleTNC.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_cobyla.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lsq/givens_elimination.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_minpack.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/minpack2.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_zeros.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_lbfgsb.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_group_columns.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_slsqp.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/optimize/_nnls.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/_quadpack.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/_dop.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/_odepack.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/lsoda.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/vode.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/_test_multivariate.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/integrate/_test_odeint_banded.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/odr/__odrpack.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/_csparsetools.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/isolve/_iterative.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/dsolve/_superlu.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/linalg/eigen/arpack/_arpack.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph/_traversal.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph/_min_spanning_tree.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph/_tools.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph/_shortest_path.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/csgraph/_reordering.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/sparse/_sparsetools.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/sigtools.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/_upfirdn_apply.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/spline.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/_max_len_seq_inner.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/signal/_spectral.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/streams.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/mio5_utils.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/mio_utils.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/_ni_label.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/ndimage/_nd_image.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/_clapack.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/cython_blas.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/cython_lapack.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/_interpolative.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/_decomp_update.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/_cblas.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/_calc_lwork.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/_flinalg.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/_fblas.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/_flapack.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/linalg/_solve_toeplitz.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/cluster/_vq.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/cluster/_hierarchy.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/_comb.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/specfun.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/_ufuncs.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/_ellip_harm_2.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/special/_ufuncs_cxx.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/_stats.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/mvn.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/stats/statlib.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/_interpolate.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/dfitpack.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/_fitpack.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/interpnd.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/interpolate/_ppoly.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/_distance_wrap.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/qhull.so
extracting debug info from /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/spatial/ckdtree.so
/usr/lib/rpm/sepdebugcrcfix: Updated 69 CRC32s, 0 CRC32s did match.
cpio: scipy-0.18.0/debug.h: Cannot stat: No such file or directory
cpio: scipy-0.18.0/stat.h: Cannot stat: No such file or directory
93607 blocks
+ /usr/lib/rpm/check-buildroot
+ /usr/lib/rpm/redhat/brp-compress
+ /usr/lib/rpm/redhat/brp-strip-static-archive /usr/bin/strip
+ /usr/lib/rpm/brp-python-bytecompile /usr/bin/python 1
Bytecompiling .py files below /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7 using /usr/bin/python2.7
Bytecompiling .py files below /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib/debug/usr/lib64/python2.7 using /usr/bin/python2.7
+ /usr/lib/rpm/redhat/brp-python-hardlink
+ /usr/lib/rpm/redhat/brp-java-repack-jars
Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.2A6Y3Y
+ umask 022
+ cd /builddir/build/BUILD
+ cd scipy-0.18.0
+ mkdir test2
+ cd test2
+ PYTHONPATH=/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages
+ /usr/bin/python2 -c 'import scipy; scipy.test('\''full'\'', verbose=2)'
/usr/lib64/python2.7/site-packages/numpy/lib/utils.py:99: DeprecationWarning: `scipy.weave` is deprecated, use `weave` instead!
  warnings.warn(depdoc, DeprecationWarning)
test_hierarchy.TestCopheneticDistance.test_linkage_cophenet_tdist_Z ... ok
test_hierarchy.TestCopheneticDistance.test_linkage_cophenet_tdist_Z_Y ... ok
test_correspond_2_and_up (test_hierarchy.TestCorrespond) ... ok
test_correspond_4_and_up (test_hierarchy.TestCorrespond) ... ok
test_correspond_4_and_up_2 (test_hierarchy.TestCorrespond) ... ok
test_correspond_empty (test_hierarchy.TestCorrespond) ... ok
test_num_obs_linkage_multi_matrix (test_hierarchy.TestCorrespond) ... ok
test_hierarchy.TestDendrogram.test_dendrogram_colors ... ok
Failure: SkipTest (Skipping test: test_dendrogram_plot: Test skipped due to test condition) ... SKIP: Skipping test: test_dendrogram_plot: Test skipped due to test condition
test_hierarchy.TestDendrogram.test_dendrogram_single_linkage_tdist ... ok
test_hierarchy.TestDendrogram.test_dendrogram_truncate_mode ... SKIP: Skipping test: test_dendrogram_truncate_mode: Test skipped due to test condition
test_hierarchy.TestDendrogram.test_valid_orientation ... ok
test_hierarchy.TestFcluster.test_fcluster(1.0, 'inconsistent') ... ok
test_hierarchy.TestFcluster.test_fcluster(2.0, 'inconsistent') ... ok
test_hierarchy.TestFcluster.test_fcluster(0.8, 'inconsistent') ... ok
test_hierarchy.TestFcluster.test_fcluster(1.0, 'distance') ... ok
test_hierarchy.TestFcluster.test_fcluster(2.0, 'distance') ... ok
test_hierarchy.TestFcluster.test_fcluster(0.6, 'distance') ... ok
test_hierarchy.TestFcluster.test_fcluster(8.0, 'maxclust') ... ok
test_hierarchy.TestFcluster.test_fcluster(1.0, 'maxclust') ... ok
test_hierarchy.TestFcluster.test_fcluster(4.0, 'maxclust') ... ok
test_hierarchy.TestFcluster.test_fcluster_monocrit(1.0,) ... ok
test_hierarchy.TestFcluster.test_fcluster_monocrit(2.0,) ... ok
test_hierarchy.TestFcluster.test_fcluster_monocrit(0.6,) ... ok
test_hierarchy.TestFcluster.test_fcluster_monocrit(8.0,) ... ok
test_hierarchy.TestFcluster.test_fcluster_monocrit(1.0,) ... ok
test_hierarchy.TestFcluster.test_fcluster_monocrit(4.0,) ... ok
test_hierarchy.TestFcluster.test_fclusterdata(1.0, 'inconsistent') ... ok
test_hierarchy.TestFcluster.test_fclusterdata(2.0, 'inconsistent') ... ok
test_hierarchy.TestFcluster.test_fclusterdata(0.8, 'inconsistent') ... ok
test_hierarchy.TestFcluster.test_fclusterdata(1.0, 'distance') ... ok
test_hierarchy.TestFcluster.test_fclusterdata(2.0, 'distance') ... ok
test_hierarchy.TestFcluster.test_fclusterdata(0.6, 'distance') ... ok
test_hierarchy.TestFcluster.test_fclusterdata(8.0, 'maxclust') ... ok
test_hierarchy.TestFcluster.test_fclusterdata(1.0, 'maxclust') ... ok
test_hierarchy.TestFcluster.test_fclusterdata(4.0, 'maxclust') ... ok
test_hierarchy.TestInconsistent.test_inconsistent_tdist(1,) ... ok
test_hierarchy.TestInconsistent.test_inconsistent_tdist(2,) ... ok
test_hierarchy.TestInconsistent.test_inconsistent_tdist(3,) ... ok
test_hierarchy.TestInconsistent.test_inconsistent_tdist(4,) ... ok
test_hierarchy.TestIsIsomorphic.test_is_isomorphic_1 ... ok
test_hierarchy.TestIsIsomorphic.test_is_isomorphic_2 ... ok
test_hierarchy.TestIsIsomorphic.test_is_isomorphic_3 ... ok
test_hierarchy.TestIsIsomorphic.test_is_isomorphic_4A ... ok
test_hierarchy.TestIsIsomorphic.test_is_isomorphic_4B ... ok
test_hierarchy.TestIsIsomorphic.test_is_isomorphic_4C ... ok
test_hierarchy.TestIsIsomorphic.test_is_isomorphic_5(1000, 2) ... ok
test_hierarchy.TestIsIsomorphic.test_is_isomorphic_5(1000, 3) ... ok
test_hierarchy.TestIsIsomorphic.test_is_isomorphic_5(1000, 5) ... ok
test_hierarchy.TestIsIsomorphic.test_is_isomorphic_6(1000, 2, True, 5) ... ok
test_hierarchy.TestIsIsomorphic.test_is_isomorphic_6(1000, 3, True, 5) ... ok
test_hierarchy.TestIsIsomorphic.test_is_isomorphic_6(1000, 5, True, 5) ... ok
test_is_monotonic_1x4 (test_hierarchy.TestIsMonotonic) ... ok
test_is_monotonic_2x4_F (test_hierarchy.TestIsMonotonic) ... ok
test_is_monotonic_2x4_T (test_hierarchy.TestIsMonotonic) ... ok
test_is_monotonic_3x4_F1 (test_hierarchy.TestIsMonotonic) ... ok
test_is_monotonic_3x4_F2 (test_hierarchy.TestIsMonotonic) ... ok
test_is_monotonic_3x4_F3 (test_hierarchy.TestIsMonotonic) ... ok
test_is_monotonic_3x4_T (test_hierarchy.TestIsMonotonic) ... ok
test_is_monotonic_Q_linkage (test_hierarchy.TestIsMonotonic) ... ok
test_is_monotonic_empty (test_hierarchy.TestIsMonotonic) ... ok
test_is_monotonic_tdist_linkage1 (test_hierarchy.TestIsMonotonic) ... ok
test_is_monotonic_tdist_linkage2 (test_hierarchy.TestIsMonotonic) ... ok
test_hierarchy.TestIsValidInconsistent.test_is_valid_im_4_and_up ... ok
test_hierarchy.TestIsValidInconsistent.test_is_valid_im_4_and_up_neg_dist ... ok
test_hierarchy.TestIsValidInconsistent.test_is_valid_im_4_and_up_neg_index_left ... ok
test_hierarchy.TestIsValidInconsistent.test_is_valid_im_4_and_up_neg_index_right ... ok
test_hierarchy.TestIsValidInconsistent.test_is_valid_im_empty ... ok
test_hierarchy.TestIsValidInconsistent.test_is_valid_im_int_type ... ok
test_hierarchy.TestIsValidInconsistent.test_is_valid_im_various_size(2, 5, False) ... ok
test_hierarchy.TestIsValidInconsistent.test_is_valid_im_various_size(2, 3, False) ... ok
test_hierarchy.TestIsValidInconsistent.test_is_valid_im_various_size(1, 4, True) ... ok
test_hierarchy.TestIsValidInconsistent.test_is_valid_im_various_size(2, 4, True) ... ok
test_hierarchy.TestIsValidLinkage.test_is_valid_linkage_4_and_up ... ok
test_hierarchy.TestIsValidLinkage.test_is_valid_linkage_4_and_up_neg_counts ... ok
test_hierarchy.TestIsValidLinkage.test_is_valid_linkage_4_and_up_neg_dist ... ok
test_hierarchy.TestIsValidLinkage.test_is_valid_linkage_4_and_up_neg_index_left ... ok
test_hierarchy.TestIsValidLinkage.test_is_valid_linkage_4_and_up_neg_index_right ... ok
test_hierarchy.TestIsValidLinkage.test_is_valid_linkage_empty ... ok
test_hierarchy.TestIsValidLinkage.test_is_valid_linkage_int_type ... ok
test_hierarchy.TestIsValidLinkage.test_is_valid_linkage_various_size(2, 5, False) ... ok
test_hierarchy.TestIsValidLinkage.test_is_valid_linkage_various_size(2, 3, False) ... ok
test_hierarchy.TestIsValidLinkage.test_is_valid_linkage_various_size(1, 4, True) ... ok
test_hierarchy.TestIsValidLinkage.test_is_valid_linkage_various_size(2, 4, True) ... ok
test_hierarchy.TestLeaders.test_leaders_single ... ok
test_hierarchy.TestLeavesList.test_Q_subtree_pre_order ... ok
test_hierarchy.TestLeavesList.test_leaves_list_1x4 ... ok
test_hierarchy.TestLeavesList.test_leaves_list_2x4 ... ok
test_hierarchy.TestLeavesList.test_leaves_list_Q('single',) ... ok
test_hierarchy.TestLeavesList.test_leaves_list_Q('complete',) ... ok
test_hierarchy.TestLeavesList.test_leaves_list_Q('average',) ... ok
test_hierarchy.TestLeavesList.test_leaves_list_Q('weighted',) ... ok
test_hierarchy.TestLeavesList.test_leaves_list_Q('centroid',) ... ok
test_hierarchy.TestLeavesList.test_leaves_list_Q('median',) ... ok
test_hierarchy.TestLeavesList.test_leaves_list_Q('ward',) ... ok
test_hierarchy.TestLinkage.test_linkage_X('centroid',) ... ok
test_hierarchy.TestLinkage.test_linkage_X('median',) ... ok
test_hierarchy.TestLinkage.test_linkage_X('ward',) ... ok
test_hierarchy.TestLinkage.test_linkage_empty_distance_matrix ... ok
test_hierarchy.TestLinkage.test_linkage_tdist('single',) ... ok
test_hierarchy.TestLinkage.test_linkage_tdist('complete',) ... ok
test_hierarchy.TestLinkage.test_linkage_tdist('average',) ... ok
test_hierarchy.TestLinkage.test_linkage_tdist('weighted',) ... ok
test_hierarchy.TestLinkage.test_linkage_tdist(u'single',) ... ok
test_hierarchy.TestMLabLinkageConversion.test_mlab_linkage_conversion_empty ... ok
test_hierarchy.TestMLabLinkageConversion.test_mlab_linkage_conversion_multiple_rows ... ok
test_hierarchy.TestMLabLinkageConversion.test_mlab_linkage_conversion_single_row ... ok
test_hierarchy.TestMaxDists.test_maxdists_Q_linkage('single',) ... ok
test_hierarchy.TestMaxDists.test_maxdists_Q_linkage('complete',) ... ok
test_hierarchy.TestMaxDists.test_maxdists_Q_linkage('ward',) ... ok
test_hierarchy.TestMaxDists.test_maxdists_Q_linkage('centroid',) ... ok
test_hierarchy.TestMaxDists.test_maxdists_Q_linkage('median',) ... ok
test_hierarchy.TestMaxDists.test_maxdists_empty_linkage ... ok
test_hierarchy.TestMaxDists.test_maxdists_one_cluster_linkage ... ok
test_hierarchy.TestMaxInconsts.test_maxinconsts_Q_linkage('single',) ... ok
test_hierarchy.TestMaxInconsts.test_maxinconsts_Q_linkage('complete',) ... ok
test_hierarchy.TestMaxInconsts.test_maxinconsts_Q_linkage('ward',) ... ok
test_hierarchy.TestMaxInconsts.test_maxinconsts_Q_linkage('centroid',) ... ok
test_hierarchy.TestMaxInconsts.test_maxinconsts_Q_linkage('median',) ... ok
test_hierarchy.TestMaxInconsts.test_maxinconsts_difrow_linkage ... ok
test_hierarchy.TestMaxInconsts.test_maxinconsts_empty_linkage ... ok
test_hierarchy.TestMaxInconsts.test_maxinconsts_one_cluster_linkage ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_Q_linkage('single', 0) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_Q_linkage('single', 1) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_Q_linkage('single', 2) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_Q_linkage('single', 3) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_Q_linkage('complete', 0) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_Q_linkage('complete', 1) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_Q_linkage('complete', 2) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_Q_linkage('complete', 3) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_Q_linkage('ward', 0) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_Q_linkage('ward', 1) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_Q_linkage('ward', 2) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_Q_linkage('ward', 3) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_Q_linkage('centroid', 0) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_Q_linkage('centroid', 1) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_Q_linkage('centroid', 2) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_Q_linkage('centroid', 3) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_Q_linkage('median', 0) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_Q_linkage('median', 1) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_Q_linkage('median', 2) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_Q_linkage('median', 3) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_difrow_linkage(0,) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_difrow_linkage(1,) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_difrow_linkage(2,) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_difrow_linkage(3,) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_empty_linkage(0,) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_empty_linkage(1,) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_empty_linkage(2,) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_empty_linkage(3,) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_invalid_index(3.3,) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_invalid_index(-1,) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_invalid_index(4,) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_one_cluster_linkage(0,) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_one_cluster_linkage(1,) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_one_cluster_linkage(2,) ... ok
test_hierarchy.TestMaxRStat.test_maxRstat_one_cluster_linkage(3,) ... ok
test_num_obs_linkage_1x4 (test_hierarchy.TestNumObsLinkage) ... ok
test_num_obs_linkage_2x4 (test_hierarchy.TestNumObsLinkage) ... ok
test_num_obs_linkage_4_and_up (test_hierarchy.TestNumObsLinkage) ... ok
test_num_obs_linkage_empty (test_hierarchy.TestNumObsLinkage) ... ok
test_hierarchy.test_euclidean_linkage_value_error ... ok
test_hierarchy.test_2x2_linkage ... ok
test_hierarchy.test_node_compare ... ok
test_hierarchy.test_cut_tree ... ok
test_kmeans2_empty (test_vq.TestKMean) ... ok
test_kmeans2_high_dim (test_vq.TestKMean) ... ok
test_kmeans2_init (test_vq.TestKMean) ... ok
test_kmeans2_rank1 (test_vq.TestKMean) ... ok
test_kmeans2_rank1_2 (test_vq.TestKMean) ... ok
test_kmeans2_simple (test_vq.TestKMean) ... ok
test_kmeans_0k (test_vq.TestKMean) ... ok
test_kmeans_lost_cluster (test_vq.TestKMean) ... ok
test_kmeans_simple (test_vq.TestKMean) ... ok
test_krandinit (test_vq.TestKMean) ... ok
test_large_features (test_vq.TestKMean) ... ok
test__vq_invalid_type (test_vq.TestVq) ... ok
test__vq_sametype (test_vq.TestVq) ... ok
test_py_vq (test_vq.TestVq) ... ok
test_py_vq2 (test_vq.TestVq) ... ok
test_vq (test_vq.TestVq) ... ok
test_vq_1d (test_vq.TestVq) ... ok
test_vq_large_features (test_vq.TestVq) ... ok
test_vq_large_nfeat (test_vq.TestVq) ... ok
test_whiten (test_vq.TestWhiten) ... ok
test_whiten_not_finite (test_vq.TestWhiten) ... ok
test_whiten_zero_std (test_vq.TestWhiten) ... ok
test_codata.test_find ... ok
test_codata.test_basic_table_parse ... ok
test_codata.test_basic_lookup ... ok
test_codata.test_find_all ... ok
test_codata.test_find_single ... ok
test_codata.test_2002_vs_2006 ... ok
test_codata.test_exact_values ... ok
test_constants.test_convert_temperature ... ok
test_constants.test_fahrenheit_to_celcius ... ok
test_constants.test_celcius_to_kelvin ... ok
test_constants.test_kelvin_to_celcius ... ok
test_constants.test_fahrenheit_to_kelvin ... ok
test_constants.test_kelvin_to_fahrenheit ... ok
test_constants.test_celcius_to_fahrenheit ... ok
test_constants.test_lambda_to_nu ... ok
test_constants.test_nu_to_lambda ... ok
test__is_safe_size (test_basic.TestDoubleFFT) ... ok
test_definition (test_basic.TestDoubleFFT) ... ok
test_djbfft (test_basic.TestDoubleFFT) ... ok
test_invalid_sizes (test_basic.TestDoubleFFT) ... ok
test_n_argument_real (test_basic.TestDoubleFFT) ... ok
test_definition (test_basic.TestDoubleIFFT) ... ok
test_definition_real (test_basic.TestDoubleIFFT) ... ok
test_djbfft (test_basic.TestDoubleIFFT) ... ok
test_invalid_sizes (test_basic.TestDoubleIFFT) ... ok
test_random_complex (test_basic.TestDoubleIFFT) ... ok
test_random_real (test_basic.TestDoubleIFFT) ... ok
test_size_accuracy (test_basic.TestDoubleIFFT) ... ok
test_axes_argument (test_basic.TestFftn) ... ok
test_definition (test_basic.TestFftn) ... ok
test_invalid_sizes (test_basic.TestFftn) ... ok
test_shape_argument (test_basic.TestFftn) ... ok
Test that fftn raises ValueError when s.shape is longer than x.shape ... ok
test_shape_axes_argument (test_basic.TestFftn) ... ok
test_shape_axes_argument2 (test_basic.TestFftn) ... ok
test_definition (test_basic.TestFftnSingle) ... ok
test_size_accuracy (test_basic.TestFftnSingle) ... ok
test_definition (test_basic.TestIRFFTDouble) ... ok
test_djbfft (test_basic.TestIRFFTDouble) ... ok
test_invalid_sizes (test_basic.TestIRFFTDouble) ... ok
test_random_real (test_basic.TestIRFFTDouble) ... ok
test_size_accuracy (test_basic.TestIRFFTDouble) ... ok
test_definition (test_basic.TestIRFFTSingle) ... ok
test_djbfft (test_basic.TestIRFFTSingle) ... ok
test_invalid_sizes (test_basic.TestIRFFTSingle) ... ok
test_random_real (test_basic.TestIRFFTSingle) ... ok
test_size_accuracy (test_basic.TestIRFFTSingle) ... ok
test_definition (test_basic.TestIfftnDouble) ... ok
test_invalid_sizes (test_basic.TestIfftnDouble) ... ok
test_random_complex (test_basic.TestIfftnDouble) ... ok
test_definition (test_basic.TestIfftnSingle) ... ok
test_invalid_sizes (test_basic.TestIfftnSingle) ... ok
test_random_complex (test_basic.TestIfftnSingle) ... ok
test_complex (test_basic.TestLongDoubleFailure) ... ok
test_real (test_basic.TestLongDoubleFailure) ... ok
test_basic.TestOverwrite.test_fft ... ok
test_basic.TestOverwrite.test_fftn ... ok
test_basic.TestOverwrite.test_ifft ... ok
test_basic.TestOverwrite.test_ifftn ... ok
test_basic.TestOverwrite.test_irfft ... ok
test_basic.TestOverwrite.test_rfft ... ok
test_definition (test_basic.TestRFFTDouble) ... ok
test_djbfft (test_basic.TestRFFTDouble) ... ok
test_invalid_sizes (test_basic.TestRFFTDouble) ... ok
test_non_ndarray_with_dtype (test_basic.TestRFFTDouble) ... ok
test_definition (test_basic.TestRFFTSingle) ... ok
test_djbfft (test_basic.TestRFFTSingle) ... ok
test_invalid_sizes (test_basic.TestRFFTSingle) ... ok
test_non_ndarray_with_dtype (test_basic.TestRFFTSingle) ... ok
test__is_safe_size (test_basic.TestSingleFFT) ... ok
test_definition (test_basic.TestSingleFFT) ... ok
test_djbfft (test_basic.TestSingleFFT) ... ok
test_invalid_sizes (test_basic.TestSingleFFT) ... ok
test_n_argument_real (test_basic.TestSingleFFT) ... ok
test_notice (test_basic.TestSingleFFT) ... KNOWNFAIL: single-precision FFT implementation is partially disabled, until accuracy issues with large prime powers are resolved
test_definition (test_basic.TestSingleIFFT) ... ok
test_definition_real (test_basic.TestSingleIFFT) ... ok
test_djbfft (test_basic.TestSingleIFFT) ... ok
test_invalid_sizes (test_basic.TestSingleIFFT) ... ok
test_random_complex (test_basic.TestSingleIFFT) ... ok
test_random_real (test_basic.TestSingleIFFT) ... ok
test_size_accuracy (test_basic.TestSingleIFFT) ... ok
test_invalid_sizes (test_basic.Testfft2) ... ok
fft returns wrong result with axes parameter. ... ok
test_definition (test_helper.TestFFTFreq) ... ok
test_definition (test_helper.TestFFTShift) ... ok
test_inverse (test_helper.TestFFTShift) ... ok
test_next_opt_len (test_helper.TestNextOptLen) ... ok
test_next_opt_len_strict (test_helper.TestNextOptLen) ... ok
test_definition (test_helper.TestRFFTFreq) ... ok
test_definition (test_pseudo_diffs.TestDiff) ... ok
test_expr (test_pseudo_diffs.TestDiff) ... ok
test_expr_large (test_pseudo_diffs.TestDiff) ... ok
test_int (test_pseudo_diffs.TestDiff) ... ok
test_period (test_pseudo_diffs.TestDiff) ... ok
test_random_even (test_pseudo_diffs.TestDiff) ... ok
test_random_odd (test_pseudo_diffs.TestDiff) ... ok
test_sin (test_pseudo_diffs.TestDiff) ... ok
test_zero_nyquist (test_pseudo_diffs.TestDiff) ... ok
test_definition (test_pseudo_diffs.TestHilbert) ... ok
test_random_even (test_pseudo_diffs.TestHilbert) ... ok
test_random_odd (test_pseudo_diffs.TestHilbert) ... ok
test_tilbert_relation (test_pseudo_diffs.TestHilbert) ... ok
test_definition (test_pseudo_diffs.TestIHilbert) ... ok
test_itilbert_relation (test_pseudo_diffs.TestIHilbert) ... ok
test_definition (test_pseudo_diffs.TestITilbert) ... ok
test_pseudo_diffs.TestOverwrite.test_cc_diff ... ok
test_pseudo_diffs.TestOverwrite.test_cs_diff ... ok
test_pseudo_diffs.TestOverwrite.test_diff ... ok
test_pseudo_diffs.TestOverwrite.test_hilbert ... ok
test_pseudo_diffs.TestOverwrite.test_itilbert ... ok
test_pseudo_diffs.TestOverwrite.test_sc_diff ... ok
test_pseudo_diffs.TestOverwrite.test_shift ... ok
test_pseudo_diffs.TestOverwrite.test_ss_diff ... ok
test_pseudo_diffs.TestOverwrite.test_tilbert ... ok
test_definition (test_pseudo_diffs.TestShift) ... ok
test_definition (test_pseudo_diffs.TestTilbert) ... ok
test_random_even (test_pseudo_diffs.TestTilbert) ... ok
test_random_odd (test_pseudo_diffs.TestTilbert) ... ok
test_dct_complex (test_real_transforms.TestComplex) ... ok
test_dct_complex64 (test_real_transforms.TestComplex) ... ok
test_dst_complex (test_real_transforms.TestComplex) ... ok
test_dst_complex64 (test_real_transforms.TestComplex) ... ok
test_idct_complex (test_real_transforms.TestComplex) ... ok
test_idst_complex (test_real_transforms.TestComplex) ... ok
test_axis (test_real_transforms.TestDCTIDouble) ... ok
test_definition (test_real_transforms.TestDCTIDouble) ... ok
test_axis (test_real_transforms.TestDCTIFloat) ... ok
test_definition (test_real_transforms.TestDCTIFloat) ... ok
test_axis (test_real_transforms.TestDCTIIDouble) ... ok
test_definition (test_real_transforms.TestDCTIIDouble) ... ok
test_definition_matlab (test_real_transforms.TestDCTIIDouble) ... ok
test_axis (test_real_transforms.TestDCTIIFloat) ... ok
test_definition (test_real_transforms.TestDCTIIFloat) ... ok
test_definition_matlab (test_real_transforms.TestDCTIIFloat) ... ok
test_axis (test_real_transforms.TestDCTIIIDouble) ... ok
test_definition (test_real_transforms.TestDCTIIIDouble) ... ok
test_definition_ortho (test_real_transforms.TestDCTIIIDouble) ... ok
test_axis (test_real_transforms.TestDCTIIIFloat) ... ok
test_definition (test_real_transforms.TestDCTIIIFloat) ... ok
test_definition_ortho (test_real_transforms.TestDCTIIIFloat) ... ok
test_axis (test_real_transforms.TestDCTIIIInt) ... ok
test_definition (test_real_transforms.TestDCTIIIInt) ... ok
test_definition_ortho (test_real_transforms.TestDCTIIIInt) ... ok
test_axis (test_real_transforms.TestDCTIIInt) ... ok
test_definition (test_real_transforms.TestDCTIIInt) ... ok
test_definition_matlab (test_real_transforms.TestDCTIIInt) ... ok
test_axis (test_real_transforms.TestDCTIInt) ... ok
test_definition (test_real_transforms.TestDCTIInt) ... ok
test_definition (test_real_transforms.TestDSTIDouble) ... ok
test_definition (test_real_transforms.TestDSTIFloat) ... ok
test_definition (test_real_transforms.TestDSTIIDouble) ... ok
test_definition (test_real_transforms.TestDSTIIFloat) ... ok
test_definition (test_real_transforms.TestDSTIIIDouble) ... ok
test_definition (test_real_transforms.TestDSTIIIFloat) ... ok
test_definition (test_real_transforms.TestDSTIIIInt) ... ok
test_definition (test_real_transforms.TestDSTIIInt) ... ok
test_definition (test_real_transforms.TestDSTIInt) ... ok
test_definition (test_real_transforms.TestIDCTIDouble) ... ok
test_definition (test_real_transforms.TestIDCTIFloat) ... ok
test_definition (test_real_transforms.TestIDCTIIDouble) ... ok
test_definition (test_real_transforms.TestIDCTIIFloat) ... ok
test_definition (test_real_transforms.TestIDCTIIIDouble) ... ok
test_definition (test_real_transforms.TestIDCTIIIFloat) ... ok
test_definition (test_real_transforms.TestIDCTIIIInt) ... ok
test_definition (test_real_transforms.TestIDCTIIInt) ... ok
test_definition (test_real_transforms.TestIDCTIInt) ... ok
test_definition (test_real_transforms.TestIDSTIDouble) ... ok
test_definition (test_real_transforms.TestIDSTIFloat) ... ok
test_definition (test_real_transforms.TestIDSTIIDouble) ... ok
test_definition (test_real_transforms.TestIDSTIIFloat) ... ok
test_definition (test_real_transforms.TestIDSTIIIDouble) ... ok
test_definition (test_real_transforms.TestIDSTIIIFloat) ... ok
test_definition (test_real_transforms.TestIDSTIIIInt) ... ok
test_definition (test_real_transforms.TestIDSTIIInt) ... ok
test_definition (test_real_transforms.TestIDSTIInt) ... ok
test_real_transforms.TestOverwrite.test_dct ... ok
test_real_transforms.TestOverwrite.test_dst ... ok
test_real_transforms.TestOverwrite.test_idct ... ok
test_real_transforms.TestOverwrite.test_idst ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'vode', 'bdf', False, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'vode', 'bdf', False, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'vode', 'bdf', False, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'vode', 'bdf', False, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'vode', 'bdf', True, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'vode', 'bdf', True, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'vode', 'bdf', True, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'vode', 'bdf', True, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'vode', 'adams', False, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'vode', 'adams', False, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'vode', 'adams', False, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'vode', 'adams', False, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'vode', 'adams', True, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'vode', 'adams', True, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'vode', 'adams', True, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'vode', 'adams', True, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'lsoda', 'bdf', False, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'lsoda', 'bdf', False, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'lsoda', 'bdf', False, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'lsoda', 'bdf', False, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'lsoda', 'bdf', True, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'lsoda', 'bdf', True, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'lsoda', 'bdf', True, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'lsoda', 'bdf', True, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'lsoda', 'adams', False, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'lsoda', 'adams', False, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'lsoda', 'adams', False, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'lsoda', 'adams', False, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'lsoda', 'adams', True, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'lsoda', 'adams', True, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'lsoda', 'adams', True, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'lsoda', 'adams', True, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'vode', 'bdf', False, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'vode', 'bdf', False, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'vode', 'bdf', False, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'vode', 'bdf', False, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'vode', 'bdf', True, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'vode', 'bdf', True, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'vode', 'bdf', True, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'vode', 'bdf', True, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'vode', 'adams', False, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'vode', 'adams', False, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'vode', 'adams', False, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'vode', 'adams', False, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'vode', 'adams', True, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'vode', 'adams', True, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'vode', 'adams', True, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'vode', 'adams', True, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'lsoda', 'bdf', False, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'lsoda', 'bdf', False, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'lsoda', 'bdf', False, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'lsoda', 'bdf', False, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'lsoda', 'bdf', True, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'lsoda', 'bdf', True, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'lsoda', 'bdf', True, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'lsoda', 'bdf', True, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'lsoda', 'adams', False, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'lsoda', 'adams', False, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'lsoda', 'adams', False, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'lsoda', 'adams', False, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'lsoda', 'adams', True, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'lsoda', 'adams', True, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'lsoda', 'adams', True, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'lsoda', 'adams', True, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'vode', 'bdf', False, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'vode', 'bdf', False, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'vode', 'bdf', False, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'vode', 'bdf', False, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'vode', 'bdf', True, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'vode', 'bdf', True, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'vode', 'bdf', True, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'vode', 'bdf', True, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'vode', 'adams', False, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'vode', 'adams', False, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'vode', 'adams', False, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'vode', 'adams', False, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'vode', 'adams', True, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'vode', 'adams', True, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'vode', 'adams', True, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'vode', 'adams', True, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'lsoda', 'bdf', False, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'lsoda', 'bdf', False, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'lsoda', 'bdf', False, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'lsoda', 'bdf', False, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'lsoda', 'bdf', True, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'lsoda', 'bdf', True, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'lsoda', 'bdf', True, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'lsoda', 'bdf', True, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'lsoda', 'adams', False, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'lsoda', 'adams', False, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'lsoda', 'adams', False, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'lsoda', 'adams', False, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'lsoda', 'adams', True, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'lsoda', 'adams', True, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'lsoda', 'adams', True, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(2, 'lsoda', 'adams', True, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'vode', 'bdf', False, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'vode', 'bdf', False, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'vode', 'bdf', False, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'vode', 'bdf', False, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'vode', 'bdf', True, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'vode', 'bdf', True, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'vode', 'bdf', True, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'vode', 'bdf', True, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'vode', 'adams', False, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'vode', 'adams', False, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'vode', 'adams', False, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'vode', 'adams', False, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'vode', 'adams', True, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'vode', 'adams', True, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'vode', 'adams', True, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'vode', 'adams', True, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'lsoda', 'bdf', False, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'lsoda', 'bdf', False, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'lsoda', 'bdf', False, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'lsoda', 'bdf', False, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'lsoda', 'bdf', True, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'lsoda', 'bdf', True, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'lsoda', 'bdf', True, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'lsoda', 'bdf', True, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'lsoda', 'adams', False, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'lsoda', 'adams', False, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'lsoda', 'adams', False, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'lsoda', 'adams', False, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'lsoda', 'adams', True, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'lsoda', 'adams', True, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'lsoda', 'adams', True, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(3, 'lsoda', 'adams', True, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'zvode', 'bdf', False, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'zvode', 'bdf', False, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'zvode', 'bdf', False, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'zvode', 'bdf', False, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'zvode', 'bdf', True, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'zvode', 'bdf', True, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'zvode', 'bdf', True, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'zvode', 'bdf', True, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'zvode', 'adams', False, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'zvode', 'adams', False, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'zvode', 'adams', False, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'zvode', 'adams', False, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'zvode', 'adams', True, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'zvode', 'adams', True, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'zvode', 'adams', True, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(0, 'zvode', 'adams', True, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'zvode', 'bdf', False, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'zvode', 'bdf', False, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'zvode', 'bdf', False, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'zvode', 'bdf', False, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'zvode', 'bdf', True, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'zvode', 'bdf', True, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'zvode', 'bdf', True, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'zvode', 'bdf', True, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'zvode', 'adams', False, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'zvode', 'adams', False, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'zvode', 'adams', False, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'zvode', 'adams', False, True, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'zvode', 'adams', True, False, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'zvode', 'adams', True, False, True) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'zvode', 'adams', True, True, False) ... ok
test_banded_ode_solvers.test_banded_ode_solvers(1, 'zvode', 'adams', True, True, True) ... ok
test_bvp.test_modify_mesh ... ok
test_bvp.test_compute_fun_jac ... ok
test_bvp.test_compute_bc_jac ... ok
test_bvp.test_compute_jac_indices ... ok
test_bvp.test_compute_global_jac ... ok
test_bvp.test_parameter_validation ... ok
test_bvp.test_no_params ... ok
test_bvp.test_with_params ... ok
test_bvp.test_singular_term ... ok
test_bvp.test_complex ... ok
test_bvp.test_failures ... ok
test_bvp.test_big_problem ... ok
test_bvp.test_shock_layer ... ok
test_bvp.test_verbose ... ok
test_no_params (test_integrate.DOP853CheckParameterUse) ... ok
test_one_scalar_param (test_integrate.DOP853CheckParameterUse) ... ok
test_two_scalar_params (test_integrate.DOP853CheckParameterUse) ... ok
test_vector_param (test_integrate.DOP853CheckParameterUse) ... ok
test_no_params (test_integrate.DOPRI5CheckParameterUse) ... ok
test_one_scalar_param (test_integrate.DOPRI5CheckParameterUse) ... ok
test_two_scalar_params (test_integrate.DOPRI5CheckParameterUse) ... ok
test_vector_param (test_integrate.DOPRI5CheckParameterUse) ... ok
test_no_params (test_integrate.LSODACheckParameterUse) ... ok
test_one_scalar_param (test_integrate.LSODACheckParameterUse) ... ok
test_two_scalar_params (test_integrate.LSODACheckParameterUse) ... ok
test_vector_param (test_integrate.LSODACheckParameterUse) ... ok
test_dop853 (test_integrate.TestComplexOde) ... ok
test_dopri5 (test_integrate.TestComplexOde) ... ok
test_lsoda (test_integrate.TestComplexOde) ... ok
test_vode (test_integrate.TestComplexOde) ... ok
test_solout (test_integrate.TestComplexSolout) ... ok
test_solout_break (test_integrate.TestComplexSolout) ... ok
test_concurrent_fail (test_integrate.TestOde) ... ok
test_concurrent_ok (test_integrate.TestOde) ... ok
test_dop853 (test_integrate.TestOde) ... ok
test_dopri5 (test_integrate.TestOde) ... ok
test_lsoda (test_integrate.TestOde) ... ok
test_vode (test_integrate.TestOde) ... ok
test_zvode (test_integrate.TestOde) ... ok
test_odeint (test_integrate.TestOdeint) ... ok
test_solout (test_integrate.TestSolout) ... ok
test_solout_after_initial (test_integrate.TestSolout) ... ok
test_solout_break (test_integrate.TestSolout) ... ok
test_no_params (test_integrate.VODECheckParameterUse) ... ok
test_one_scalar_param (test_integrate.VODECheckParameterUse) ... ok
test_two_scalar_params (test_integrate.VODECheckParameterUse) ... ok
test_vector_param (test_integrate.VODECheckParameterUse) ... ok
test_no_params (test_integrate.ZVODECheckParameterUse) ... ok
test_one_scalar_param (test_integrate.ZVODECheckParameterUse) ... ok
test_two_scalar_params (test_integrate.ZVODECheckParameterUse) ... ok
test_vector_param (test_integrate.ZVODECheckParameterUse) ... ok
test_integrate.test_odeint_trivial_time ... ok
test_integrate.test_odeint_banded_jacobian ... ok
test_integrate.test_odeint_errors ... ok
test_integrate.test_odeint_bad_shapes ... ok
test_odeint_jac.test_odeint_full_jac ... ok
test_odeint_jac.test_odeint_banded_jac ... ok
test_improvement (test_quadpack.TestCtypesQuad) ... KNOWNFAIL: Unreliable test, see ticket 1684.
test_typical (test_quadpack.TestCtypesQuad) ... ok
test_improvement (test_quadpack.TestMultivariateCtypesQuad) ... ok
test_indefinite (test_quadpack.TestMultivariateCtypesQuad) ... ok
test_threadsafety (test_quadpack.TestMultivariateCtypesQuad) ... ok
test_typical (test_quadpack.TestMultivariateCtypesQuad) ... ok
test_dict_as_opts (test_quadpack.TestNQuad) ... ok
test_fixed_limits (test_quadpack.TestNQuad) ... ok
test_matching_dblquad (test_quadpack.TestNQuad) ... ok
test_matching_quad (test_quadpack.TestNQuad) ... ok
test_matching_tplquad (test_quadpack.TestNQuad) ... ok
test_square_aliased_fn_ranges_and_opts (test_quadpack.TestNQuad) ... ok
test_square_aliased_ranges_and_opts (test_quadpack.TestNQuad) ... ok
test_square_separate_fn_ranges_and_opts (test_quadpack.TestNQuad) ... ok
test_square_separate_ranges_and_opts (test_quadpack.TestNQuad) ... ok
test_variable_limits (test_quadpack.TestNQuad) ... ok
test_algebraic_log_weight (test_quadpack.TestQuad) ... ok
test_cauchypv_weight (test_quadpack.TestQuad) ... ok
test_cosine_weighted_infinite (test_quadpack.TestQuad) ... ok
test_double_integral (test_quadpack.TestQuad) ... ok
test_indefinite (test_quadpack.TestQuad) ... ok
test_sine_weighted_finite (test_quadpack.TestQuad) ... ok
test_sine_weighted_infinite (test_quadpack.TestQuad) ... ok
test_singular (test_quadpack.TestQuad) ... ok
test_triple_integral (test_quadpack.TestQuad) ... ok
test_typical (test_quadpack.TestQuad) ... ok
test_1d (test_quadrature.TestCumtrapz) ... ok
test_x_none (test_quadrature.TestCumtrapz) ... ok
test_y_nd_x_1d (test_quadrature.TestCumtrapz) ... ok
test_y_nd_x_nd (test_quadrature.TestCumtrapz) ... ok
Test the first few degrees, for evenly spaced points. ... ok
Test newton_cotes with points that are not evenly spaced. ... ok
test_non_dtype (test_quadrature.TestQuadrature) ... ok
test_quadrature (test_quadrature.TestQuadrature) ... ok
test_quadrature_miniter (test_quadrature.TestQuadrature) ... ok
test_quadrature_rtol (test_quadrature.TestQuadrature) ... ok
test_quadrature_single_args (test_quadrature.TestQuadrature) ... ok
test_romb (test_quadrature.TestQuadrature) ... ok
test_romb_gh_3731 (test_quadrature.TestQuadrature) ... ok
test_romberg (test_quadrature.TestQuadrature) ... ok
test_romberg_rtol (test_quadrature.TestQuadrature) ... ok
test_simps (test_quadrature.TestQuadrature) ... ok
test_fitpack.TestBisplrep.test_overflow ... ok
test_fitpack.TestBisplrep.test_regression_1310 ... ok
test_smoke_bisplrep_bisplev (test_fitpack.TestSmokeTests) ... ok
test_smoke_splint_spalde (test_fitpack.TestSmokeTests) ... ok
test_smoke_splprep_splrep_splev (test_fitpack.TestSmokeTests) ... ok
test_smoke_splrep_splev (test_fitpack.TestSmokeTests) ... ok
test_smoke_sproot (test_fitpack.TestSmokeTests) ... ok
test_fitpack.TestSplder.test_inverse ... ok
test_fitpack.TestSplder.test_kink ... ok
test_fitpack.TestSplder.test_order0_diff ... ok
test_fitpack.TestSplder.test_splantider_vs_splint ... ok
test_fitpack.TestSplder.test_splder_vs_splev ... ok
test_1d_shape (test_fitpack.TestSplev) ... ok
test_2d_shape (test_fitpack.TestSplev) ... ok
test_extrapolation_modes (test_fitpack.TestSplev) ... ok
test_fitpack.test_dblint ... ok
test_fitpack.test_splev_der_k ... ok
test_bilinearity (test_fitpack2.TestLSQBivariateSpline) ... ok
test_empty_input (test_fitpack2.TestLSQBivariateSpline) ... ok
test_integral (test_fitpack2.TestLSQBivariateSpline) ... ok
test_linear_constant (test_fitpack2.TestLSQBivariateSpline) ... ok
test_empty_input (test_fitpack2.TestLSQSphereBivariateSpline) ... ok
test_linear_constant (test_fitpack2.TestLSQSphereBivariateSpline) ... ok
test_broadcast (test_fitpack2.TestRectBivariateSpline) ... ok
test_defaults (test_fitpack2.TestRectBivariateSpline) ... ok
test_derivatives (test_fitpack2.TestRectBivariateSpline) ... ok
test_derivatives_grid (test_fitpack2.TestRectBivariateSpline) ... ok
test_evaluate (test_fitpack2.TestRectBivariateSpline) ... ok
test_defaults (test_fitpack2.TestRectSphereBivariateSpline) ... ok
test_derivatives (test_fitpack2.TestRectSphereBivariateSpline) ... ok
test_derivatives_grid (test_fitpack2.TestRectSphereBivariateSpline) ... ok
test_evaluate (test_fitpack2.TestRectSphereBivariateSpline) ... ok
test_integral (test_fitpack2.TestSmoothBivariateSpline) ... ok
test_linear_1d (test_fitpack2.TestSmoothBivariateSpline) ... ok
test_linear_constant (test_fitpack2.TestSmoothBivariateSpline) ... ok
test_rerun_lwrk2_too_small (test_fitpack2.TestSmoothBivariateSpline) ... ok
test_empty_input (test_fitpack2.TestSmoothSphereBivariateSpline) ... ok
test_linear_constant (test_fitpack2.TestSmoothSphereBivariateSpline) ... ok
test_derivative_and_antiderivative (test_fitpack2.TestUnivariateSpline) ... ok
test_empty_input (test_fitpack2.TestUnivariateSpline) ... ok
test_linear_1d (test_fitpack2.TestUnivariateSpline) ... ok
test_linear_constant (test_fitpack2.TestUnivariateSpline) ... ok
test_lsq_fpchec (test_fitpack2.TestUnivariateSpline) ... ok
test_nan (test_fitpack2.TestUnivariateSpline) ... ok
test_out_of_range_regression (test_fitpack2.TestUnivariateSpline) ... ok
test_preserve_shape (test_fitpack2.TestUnivariateSpline) ... ok
Regression test for #1375. ... ok
test_subclassing (test_fitpack2.TestUnivariateSpline) ... ok
test_rectbivariatespline (test_gil.TestGIL) ... KNOWNFAIL: race conditions, may depend on system load [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_interpnd.TestCloughTocher2DInterpolator.test_dense ... ok
test_interpnd.TestCloughTocher2DInterpolator.test_linear_smoketest ... ok
test_interpnd.TestCloughTocher2DInterpolator.test_pickle ... ok
test_interpnd.TestCloughTocher2DInterpolator.test_quadratic_smoketest ... ok
test_interpnd.TestCloughTocher2DInterpolator.test_tri_input ... ok
test_interpnd.TestCloughTocher2DInterpolator.test_tri_input_rescale ... ok
test_interpnd.TestCloughTocher2DInterpolator.test_tripoints_input_rescale ... ok
test_interpnd.TestCloughTocher2DInterpolator.test_wrong_ndim ... ok
test_interpnd.TestEstimateGradients2DGlobal.test_regression_2359 ... ok
test_interpnd.TestEstimateGradients2DGlobal.test_smoketest ... ok
test_interpnd.TestLinearNDInterpolation.test_complex_smoketest ... ok
test_interpnd.TestLinearNDInterpolation.test_pickle ... ok
test_interpnd.TestLinearNDInterpolation.test_smoketest ... ok
test_interpnd.TestLinearNDInterpolation.test_smoketest_alternate ... ok
test_interpnd.TestLinearNDInterpolation.test_smoketest_rescale ... ok
test_interpnd.TestLinearNDInterpolation.test_square ... ok
test_interpnd.TestLinearNDInterpolation.test_square_rescale ... ok
test_interpnd.TestLinearNDInterpolation.test_tri_input ... ok
test_interpnd.TestLinearNDInterpolation.test_tri_input_rescale ... ok
test_interpnd.TestLinearNDInterpolation.test_tripoints_input_rescale ... ok
test_degenerate_case_multidimensional (test_interpolate.TestAkima1DInterpolator) ... ok
test_eval (test_interpolate.TestAkima1DInterpolator) ... ok
test_eval_2d (test_interpolate.TestAkima1DInterpolator) ... ok
test_eval_3d (test_interpolate.TestAkima1DInterpolator) ... ok
test_extend (test_interpolate.TestAkima1DInterpolator) ... ok
test_extrapolate_attr (test_interpolate.TestBPoly) ... ok
test_interval_length (test_interpolate.TestBPoly) ... ok
test_multi_shape (test_interpolate.TestBPoly) ... ok
test_periodic (test_interpolate.TestBPoly) ... ok
test_simple (test_interpolate.TestBPoly) ... ok
test_simple2 (test_interpolate.TestBPoly) ... ok
test_simple3 (test_interpolate.TestBPoly) ... ok
test_simple4 (test_interpolate.TestBPoly) ... ok
test_simple5 (test_interpolate.TestBPoly) ... ok
test_two_intervals (test_interpolate.TestBPoly) ... ok
test_antider_continuous (test_interpolate.TestBPolyCalculus) ... ok
test_antider_neg (test_interpolate.TestBPolyCalculus) ... ok
test_antider_ppoly (test_interpolate.TestBPolyCalculus) ... ok
test_antiderivative_simple (test_interpolate.TestBPolyCalculus) ... ok
test_der_antider (test_interpolate.TestBPolyCalculus) ... ok
test_deriv_inplace (test_interpolate.TestBPolyCalculus) ... ok
test_derivative (test_interpolate.TestBPolyCalculus) ... ok
test_derivative_ppoly (test_interpolate.TestBPolyCalculus) ... ok
test_integrate (test_interpolate.TestBPolyCalculus) ... ok
test_integrate_extrap (test_interpolate.TestBPolyCalculus) ... ok
test_integrate_periodic (test_interpolate.TestBPolyCalculus) ... ok
test_coords_order (test_interpolate.TestBPolyFromDerivatives) ... ok
test_gh_5430 (test_interpolate.TestBPolyFromDerivatives) ... ok
test_make_poly_1 (test_interpolate.TestBPolyFromDerivatives) ... ok
test_make_poly_12 (test_interpolate.TestBPolyFromDerivatives) ... ok
test_make_poly_2 (test_interpolate.TestBPolyFromDerivatives) ... ok
test_make_poly_3 (test_interpolate.TestBPolyFromDerivatives) ... ok
test_order_zero (test_interpolate.TestBPolyFromDerivatives) ... ok
test_orders_global (test_interpolate.TestBPolyFromDerivatives) ... ok
test_orders_local (test_interpolate.TestBPolyFromDerivatives) ... ok
test_orders_too_high (test_interpolate.TestBPolyFromDerivatives) ... ok
test_raise_degree (test_interpolate.TestBPolyFromDerivatives) ... ok
test_random_12 (test_interpolate.TestBPolyFromDerivatives) ... ok
test_xi_yi (test_interpolate.TestBPolyFromDerivatives) ... ok
test_yi_trailing_dims (test_interpolate.TestBPolyFromDerivatives) ... ok
test_zeros (test_interpolate.TestBPolyFromDerivatives) ... ok
test_interpolate.TestInterp1D.test_assume_sorted ... ok
test_interpolate.TestInterp1D.test_bounds ... ok
test_interpolate.TestInterp1D.test_circular_refs ... ok
test_interpolate.TestInterp1D.test_complex ... ok
test_interpolate.TestInterp1D.test_cubic ... ok
test_interpolate.TestInterp1D.test_fill_value ... ok
test_interpolate.TestInterp1D.test_fill_value_writeable ... ok
test_interpolate.TestInterp1D.test_init ... ok
test_interpolate.TestInterp1D.test_linear ... ok
test_interpolate.TestInterp1D.test_linear_dtypes ... ok
test_interpolate.TestInterp1D.test_nd ... ok
test_interpolate.TestInterp1D.test_nd_zero_spline ... KNOWNFAIL: zero-order splines fail for the last point
test_interpolate.TestInterp1D.test_nearest ... ok
test_interpolate.TestInterp1D.test_overflow_nearest ... ok
test_interpolate.TestInterp1D.test_validation ... ok
test_interpolate.TestInterp1D.test_zero ... KNOWNFAIL: zero-order splines fail for the last point
test_interp2d (test_interpolate.TestInterp2D) ... ok
test_interp2d_bounds (test_interpolate.TestInterp2D) ... ok
test_interp2d_eval_unsorted (test_interpolate.TestInterp2D) ... ok
test_interp2d_linear (test_interpolate.TestInterp2D) ... ok
test_interp2d_meshgrid_input (test_interpolate.TestInterp2D) ... ok
test_interp2d_meshgrid_input_unsorted (test_interpolate.TestInterp2D) ... ok
test_4d_linear_outofbounds (test_interpolate.TestInterpN) ... ok
test_4d_nearest_outofbounds (test_interpolate.TestInterpN) ... ok
test_complex (test_interpolate.TestInterpN) ... ok
test_duck_typed_values (test_interpolate.TestInterpN) ... ok
test_linear_4d (test_interpolate.TestInterpN) ... ok
test_list_input (test_interpolate.TestInterpN) ... ok
test_matrix_input (test_interpolate.TestInterpN) ... ok
test_nearest_4d (test_interpolate.TestInterpN) ... ok
test_nonscalar_values (test_interpolate.TestInterpN) ... ok
test_spline_2d (test_interpolate.TestInterpN) ... ok
test_spline_2d_outofbounds (test_interpolate.TestInterpN) ... ok
test_xi_1d (test_interpolate.TestInterpN) ... ok
test_xi_broadcast (test_interpolate.TestInterpN) ... ok
test_xi_nd (test_interpolate.TestInterpN) ... ok
test_lagrange (test_interpolate.TestLagrange) ... ok
test_interpolate.TestNdPPoly.test_deriv_1d ... ok
test_interpolate.TestNdPPoly.test_deriv_3d ... ok
test_interpolate.TestNdPPoly.test_deriv_3d_simple ... ok
test_interpolate.TestNdPPoly.test_integrate_1d ... ok
test_interpolate.TestNdPPoly.test_integrate_2d ... ok
test_interpolate.TestNdPPoly.test_simple_1d ... ok
test_interpolate.TestNdPPoly.test_simple_2d ... ok
test_interpolate.TestNdPPoly.test_simple_3d ... ok
test_interpolate.TestNdPPoly.test_simple_4d ... ok
test_antiderivative_continuity (test_interpolate.TestPPoly) ... ok
test_antiderivative_of_constant (test_interpolate.TestPPoly) ... ok
test_antiderivative_regression_4355 (test_interpolate.TestPPoly) ... ok
test_antiderivative_simple (test_interpolate.TestPPoly) ... ok
test_antiderivative_vs_derivative (test_interpolate.TestPPoly) ... ok
test_antiderivative_vs_spline (test_interpolate.TestPPoly) ... ok
test_construct_fast (test_interpolate.TestPPoly) ... ok
test_derivative (test_interpolate.TestPPoly) ... ok
test_derivative_eval (test_interpolate.TestPPoly) ... ok
test_derivative_simple (test_interpolate.TestPPoly) ... ok
test_extrapolate_attr (test_interpolate.TestPPoly) ... ok
test_from_spline (test_interpolate.TestPPoly) ... ok
test_integrate (test_interpolate.TestPPoly) ... ok
test_integrate_periodic (test_interpolate.TestPPoly) ... ok
test_multi_shape (test_interpolate.TestPPoly) ... ok
test_periodic (test_interpolate.TestPPoly) ... ok
test_roots (test_interpolate.TestPPoly) ... ok
test_roots_all_zero (test_interpolate.TestPPoly) ... ok
test_roots_croots (test_interpolate.TestPPoly) ... ok
test_roots_discont (test_interpolate.TestPPoly) ... ok
test_roots_idzero (test_interpolate.TestPPoly) ... ok
test_roots_random (test_interpolate.TestPPoly) ... ok
test_roots_repeated (test_interpolate.TestPPoly) ... ok
test_simple (test_interpolate.TestPPoly) ... ok
test_vs_alternative_implementations (test_interpolate.TestPPoly) ... ok
test_axis (test_interpolate.TestPPolyCommon) ... ok
test_complex_coef (test_interpolate.TestPPolyCommon) ... ok
test_extend (test_interpolate.TestPPolyCommon) ... ok
test_extend_diff_orders (test_interpolate.TestPPolyCommon) ... ok
test_shape (test_interpolate.TestPPolyCommon) ... ok
test_sort_check (test_interpolate.TestPPolyCommon) ... ok
test_bp_from_pp (test_interpolate.TestPolyConversions) ... ok
test_bp_from_pp_random (test_interpolate.TestPolyConversions) ... ok
test_pp_from_bp (test_interpolate.TestPolyConversions) ... ok
test_conversions (test_interpolate.TestPolySubclassing) ... ok
test_derivative (test_interpolate.TestPolySubclassing) ... ok
test_from_derivatives (test_interpolate.TestPolySubclassing) ... ok
test_from_spline (test_interpolate.TestPolySubclassing) ... ok
test_shape (test_interpolate.TestPpform) ... ok
test_complex (test_interpolate.TestRegularGridInterpolator) ... ok
test_duck_typed_values (test_interpolate.TestRegularGridInterpolator) ... ok
test_fillvalue_type (test_interpolate.TestRegularGridInterpolator) ... ok
test_invalid_fill_value (test_interpolate.TestRegularGridInterpolator) ... ok
test_linear_compare_qhull (test_interpolate.TestRegularGridInterpolator) ... ok
test_linear_edges (test_interpolate.TestRegularGridInterpolator) ... ok
test_linear_xi1d (test_interpolate.TestRegularGridInterpolator) ... ok
test_linear_xi3d (test_interpolate.TestRegularGridInterpolator) ... ok
test_list_input (test_interpolate.TestRegularGridInterpolator) ... ok
test_nearest (test_interpolate.TestRegularGridInterpolator) ... ok
test_nearest_compare_qhull (test_interpolate.TestRegularGridInterpolator) ... ok
test_out_of_bounds_extrap (test_interpolate.TestRegularGridInterpolator) ... ok
test_out_of_bounds_extrap2 (test_interpolate.TestRegularGridInterpolator) ... ok
test_out_of_bounds_fill (test_interpolate.TestRegularGridInterpolator) ... ok
test_valid_call (test_interpolate.TestRegularGridInterpolator) ... ok
test_valid_create (test_interpolate.TestRegularGridInterpolator) ... ok
test_block_average_above (test_interpolate_wrapper.Test) ... ok
test_linear (test_interpolate_wrapper.Test) ... ok
test_linear2 (test_interpolate_wrapper.Test) ... ok
test_logarithmic (test_interpolate_wrapper.Test) ... ok
test_nearest (test_interpolate_wrapper.Test) ... ok
test_ndgriddata.TestGriddata.test_1d ... ok
test_ndgriddata.TestGriddata.test_1d_borders ... ok
test_ndgriddata.TestGriddata.test_1d_unsorted ... ok
test_ndgriddata.TestGriddata.test_alternative_call ... ok
test_ndgriddata.TestGriddata.test_complex_2d ... ok
test_ndgriddata.TestGriddata.test_fill_value ... ok
test_ndgriddata.TestGriddata.test_multipoint_2d ... ok
test_ndgriddata.TestGriddata.test_multivalue_2d ... ok
test_ndgriddata.TestGriddata.test_square_rescale_manual ... ok
test_ndgriddata.TestGriddata.test_xi_1d ... ok
test_ndgriddata.test_nearest_options ... ok
test_append (test_polyint.CheckBarycentric) ... ok
test_delayed (test_polyint.CheckBarycentric) ... ok
test_lagrange (test_polyint.CheckBarycentric) ... ok
test_scalar (test_polyint.CheckBarycentric) ... ok
test_shapes_1d_vectorvalue (test_polyint.CheckBarycentric) ... ok
test_shapes_scalarvalue (test_polyint.CheckBarycentric) ... ok
test_shapes_vectorvalue (test_polyint.CheckBarycentric) ... ok
test_vector (test_polyint.CheckBarycentric) ... ok
test_wrapper (test_polyint.CheckBarycentric) ... ok
test_derivative (test_polyint.CheckKrogh) ... ok
test_derivatives (test_polyint.CheckKrogh) ... ok
test_empty (test_polyint.CheckKrogh) ... ok
test_hermite (test_polyint.CheckKrogh) ... ok
test_high_derivative (test_polyint.CheckKrogh) ... ok
test_int_inputs (test_polyint.CheckKrogh) ... ok
test_lagrange (test_polyint.CheckKrogh) ... ok
test_low_derivatives (test_polyint.CheckKrogh) ... ok
test_scalar (test_polyint.CheckKrogh) ... ok
test_shapes_1d_vectorvalue (test_polyint.CheckKrogh) ... ok
test_shapes_scalarvalue (test_polyint.CheckKrogh) ... ok
test_shapes_scalarvalue_derivative (test_polyint.CheckKrogh) ... ok
test_shapes_vectorvalue (test_polyint.CheckKrogh) ... ok
test_shapes_vectorvalue_derivative (test_polyint.CheckKrogh) ... ok
test_vector (test_polyint.CheckKrogh) ... ok
test_wrapper (test_polyint.CheckKrogh) ... ok
test_exponential (test_polyint.CheckTaylor) ... ok
test_polyint.TestCubicSpline.test_dtypes ... ok
test_polyint.TestCubicSpline.test_general ... ok
test_polyint.TestCubicSpline.test_incorrect_inputs ... ok
test_polyint.TestCubicSpline.test_periodic ... ok
test_polyint.TestCubicSpline.test_periodic_eval ... ok
test_polyint.TestCubicSpline.test_small_dx ... ok
test_all_zeros (test_polyint.TestPCHIP) ... ok
test_cast (test_polyint.TestPCHIP) ... ok
test_endslopes (test_polyint.TestPCHIP) ... ok
test_monotone (test_polyint.TestPCHIP) ... ok
test_nag (test_polyint.TestPCHIP) ... ok
test_overshoot (test_polyint.TestPCHIP) ... ok
test_pchip_interpolate (test_polyint.TestPCHIP) ... ok
test_two_points (test_polyint.TestPCHIP) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (), (0,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (), (0,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (), (1,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (), (1,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (), (3, 2, 5), None, -3) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (), (3, 2, 5), None, -2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (), (3, 2, 5), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (), (3, 2, 5), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (), (3, 2, 5), None, 1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (), (3, 2, 5), None, 2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (0,), (0,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (0,), (0,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (0,), (1,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (0,), (1,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (0,), (3, 2, 5), None, -3) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (0,), (3, 2, 5), None, -2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (0,), (3, 2, 5), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (0,), (3, 2, 5), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (0,), (3, 2, 5), None, 1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (0,), (3, 2, 5), None, 2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (1,), (0,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (1,), (0,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (1,), (1,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (1,), (1,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (1,), (3, 2, 5), None, -3) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (1,), (3, 2, 5), None, -2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (1,), (3, 2, 5), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (1,), (3, 2, 5), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (1,), (3, 2, 5), None, 1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (1,), (3, 2, 5), None, 2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (3, 2, 5), (0,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (3, 2, 5), (0,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (3, 2, 5), (1,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (3, 2, 5), (1,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (3, 2, 5), (3, 2, 5), None, -3) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (3, 2, 5), (3, 2, 5), None, -2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (3, 2, 5), (3, 2, 5), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (3, 2, 5), (3, 2, 5), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (3, 2, 5), (3, 2, 5), None, 1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.KroghInterpolator'>, (3, 2, 5), (3, 2, 5), None, 2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (), (0,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (), (0,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (), (1,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (), (1,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (), (3, 2, 5), None, -3) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (), (3, 2, 5), None, -2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (), (3, 2, 5), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (), (3, 2, 5), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (), (3, 2, 5), None, 1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (), (3, 2, 5), None, 2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (0,), (0,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (0,), (0,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (0,), (1,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (0,), (1,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (0,), (3, 2, 5), None, -3) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (0,), (3, 2, 5), None, -2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (0,), (3, 2, 5), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (0,), (3, 2, 5), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (0,), (3, 2, 5), None, 1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (0,), (3, 2, 5), None, 2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (1,), (0,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (1,), (0,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (1,), (1,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (1,), (1,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (1,), (3, 2, 5), None, -3) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (1,), (3, 2, 5), None, -2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (1,), (3, 2, 5), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (1,), (3, 2, 5), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (1,), (3, 2, 5), None, 1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (1,), (3, 2, 5), None, 2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (3, 2, 5), (0,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (3, 2, 5), (0,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (3, 2, 5), (1,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (3, 2, 5), (1,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (3, 2, 5), (3, 2, 5), None, -3) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (3, 2, 5), (3, 2, 5), None, -2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (3, 2, 5), (3, 2, 5), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (3, 2, 5), (3, 2, 5), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (3, 2, 5), (3, 2, 5), None, 1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>, (3, 2, 5), (3, 2, 5), None, 2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (), (0,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (), (0,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (), (1,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (), (1,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (), (3, 2, 5), None, -3) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (), (3, 2, 5), None, -2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (), (3, 2, 5), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (), (3, 2, 5), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (), (3, 2, 5), None, 1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (), (3, 2, 5), None, 2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (0,), (0,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (0,), (0,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (0,), (1,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (0,), (1,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (0,), (3, 2, 5), None, -3) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (0,), (3, 2, 5), None, -2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (0,), (3, 2, 5), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (0,), (3, 2, 5), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (0,), (3, 2, 5), None, 1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (0,), (3, 2, 5), None, 2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (1,), (0,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (1,), (0,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (1,), (1,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (1,), (1,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (1,), (3, 2, 5), None, -3) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (1,), (3, 2, 5), None, -2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (1,), (3, 2, 5), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (1,), (3, 2, 5), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (1,), (3, 2, 5), None, 1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (1,), (3, 2, 5), None, 2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (3, 2, 5), (0,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (3, 2, 5), (0,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (3, 2, 5), (1,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (3, 2, 5), (1,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (3, 2, 5), (3, 2, 5), None, -3) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (3, 2, 5), (3, 2, 5), None, -2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (3, 2, 5), (3, 2, 5), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (3, 2, 5), (3, 2, 5), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (3, 2, 5), (3, 2, 5), None, 1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.PchipInterpolator'>, (3, 2, 5), (3, 2, 5), None, 2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (), (0,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (), (0,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (), (1,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (), (1,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (), (3, 2, 5), None, -3) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (), (3, 2, 5), None, -2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (), (3, 2, 5), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (), (3, 2, 5), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (), (3, 2, 5), None, 1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (), (3, 2, 5), None, 2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (0,), (0,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (0,), (0,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (0,), (1,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (0,), (1,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (0,), (3, 2, 5), None, -3) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (0,), (3, 2, 5), None, -2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (0,), (3, 2, 5), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (0,), (3, 2, 5), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (0,), (3, 2, 5), None, 1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (0,), (3, 2, 5), None, 2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (1,), (0,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (1,), (0,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (1,), (1,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (1,), (1,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (1,), (3, 2, 5), None, -3) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (1,), (3, 2, 5), None, -2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (1,), (3, 2, 5), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (1,), (3, 2, 5), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (1,), (3, 2, 5), None, 1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (1,), (3, 2, 5), None, 2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (3, 2, 5), (0,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (3, 2, 5), (0,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (3, 2, 5), (1,), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (3, 2, 5), (1,), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (3, 2, 5), (3, 2, 5), None, -3) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (3, 2, 5), (3, 2, 5), None, -2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (3, 2, 5), (3, 2, 5), None, -1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (3, 2, 5), (3, 2, 5), None, 0) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (3, 2, 5), (3, 2, 5), None, 1) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.Akima1DInterpolator'>, (3, 2, 5), (3, 2, 5), None, 2) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (), (0,), None, -1, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (), (0,), None, -1, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (), (0,), None, 0, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (), (0,), None, 0, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (), (1,), None, -1, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (), (1,), None, -1, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (), (1,), None, 0, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (), (1,), None, 0, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (), (3, 2, 5), None, -3, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (), (3, 2, 5), None, -3, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (), (3, 2, 5), None, -2, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (), (3, 2, 5), None, -2, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (), (3, 2, 5), None, -1, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (), (3, 2, 5), None, -1, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (), (3, 2, 5), None, 0, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (), (3, 2, 5), None, 0, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (), (3, 2, 5), None, 1, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (), (3, 2, 5), None, 1, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (), (3, 2, 5), None, 2, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (), (3, 2, 5), None, 2, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (0,), (0,), None, -1, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (0,), (0,), None, -1, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (0,), (0,), None, 0, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (0,), (0,), None, 0, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (0,), (1,), None, -1, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (0,), (1,), None, -1, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (0,), (1,), None, 0, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (0,), (1,), None, 0, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (0,), (3, 2, 5), None, -3, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (0,), (3, 2, 5), None, -3, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (0,), (3, 2, 5), None, -2, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (0,), (3, 2, 5), None, -2, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (0,), (3, 2, 5), None, -1, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (0,), (3, 2, 5), None, -1, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (0,), (3, 2, 5), None, 0, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (0,), (3, 2, 5), None, 0, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (0,), (3, 2, 5), None, 1, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (0,), (3, 2, 5), None, 1, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (0,), (3, 2, 5), None, 2, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (0,), (3, 2, 5), None, 2, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (1,), (0,), None, -1, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (1,), (0,), None, -1, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (1,), (0,), None, 0, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (1,), (0,), None, 0, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (1,), (1,), None, -1, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (1,), (1,), None, -1, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (1,), (1,), None, 0, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (1,), (1,), None, 0, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (1,), (3, 2, 5), None, -3, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (1,), (3, 2, 5), None, -3, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (1,), (3, 2, 5), None, -2, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (1,), (3, 2, 5), None, -2, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (1,), (3, 2, 5), None, -1, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (1,), (3, 2, 5), None, -1, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (1,), (3, 2, 5), None, 0, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (1,), (3, 2, 5), None, 0, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (1,), (3, 2, 5), None, 1, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (1,), (3, 2, 5), None, 1, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (1,), (3, 2, 5), None, 2, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (1,), (3, 2, 5), None, 2, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (3, 2, 5), (0,), None, -1, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (3, 2, 5), (0,), None, -1, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (3, 2, 5), (0,), None, 0, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (3, 2, 5), (0,), None, 0, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (3, 2, 5), (1,), None, -1, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (3, 2, 5), (1,), None, -1, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (3, 2, 5), (1,), None, 0, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (3, 2, 5), (1,), None, 0, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (3, 2, 5), (3, 2, 5), None, -3, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (3, 2, 5), (3, 2, 5), None, -3, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (3, 2, 5), (3, 2, 5), None, -2, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (3, 2, 5), (3, 2, 5), None, -2, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (3, 2, 5), (3, 2, 5), None, -1, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (3, 2, 5), (3, 2, 5), None, -1, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (3, 2, 5), (3, 2, 5), None, 0, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (3, 2, 5), (3, 2, 5), None, 0, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (3, 2, 5), (3, 2, 5), None, 1, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (3, 2, 5), (3, 2, 5), None, 1, {'bc_type': 'clamped'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (3, 2, 5), (3, 2, 5), None, 2, {'bc_type': 'natural'}) ... ok
test_polyint.test_shapes(<class 'scipy.interpolate._cubic.CubicSpline'>, (3, 2, 5), (3, 2, 5), None, 2, {'bc_type': 'clamped'}) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (), (0,), (3,), -1) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (), (0,), (3,), 0) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (), (1,), (3,), -1) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (), (1,), (3,), 0) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (), (3, 2, 5), (3,), -3) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (), (3, 2, 5), (3,), -2) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (), (3, 2, 5), (3,), -1) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (), (3, 2, 5), (3,), 0) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (), (3, 2, 5), (3,), 1) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (), (3, 2, 5), (3,), 2) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (0,), (0,), (3,), -1) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (0,), (0,), (3,), 0) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (0,), (1,), (3,), -1) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (0,), (1,), (3,), 0) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (0,), (3, 2, 5), (3,), -3) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (0,), (3, 2, 5), (3,), -2) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (0,), (3, 2, 5), (3,), -1) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (0,), (3, 2, 5), (3,), 0) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (0,), (3, 2, 5), (3,), 1) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (0,), (3, 2, 5), (3,), 2) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (1,), (0,), (3,), -1) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (1,), (0,), (3,), 0) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (1,), (1,), (3,), -1) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (1,), (1,), (3,), 0) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (1,), (3, 2, 5), (3,), -3) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (1,), (3, 2, 5), (3,), -2) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (1,), (3, 2, 5), (3,), -1) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (1,), (3, 2, 5), (3,), 0) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (1,), (3, 2, 5), (3,), 1) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (1,), (3, 2, 5), (3,), 2) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (3, 2, 5), (0,), (3,), -1) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (3, 2, 5), (0,), (3,), 0) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (3, 2, 5), (1,), (3,), -1) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (3, 2, 5), (1,), (3,), 0) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (3, 2, 5), (3, 2, 5), (3,), -3) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (3, 2, 5), (3, 2, 5), (3,), -2) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (3, 2, 5), (3, 2, 5), (3,), -1) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (3, 2, 5), (3, 2, 5), (3,), 0) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (3, 2, 5), (3, 2, 5), (3,), 1) ... ok
test_polyint.test_derivs_shapes(<function krogh_derivs at 0x30ec488>, (3, 2, 5), (3, 2, 5), (3,), 2) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (0,), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (0,), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (0,), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (0,), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (0,), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (0,), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (0,), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (0,), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (0,), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (0,), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (1,), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (1,), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (1,), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (1,), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (1,), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (1,), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (1,), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (1,), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (1,), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (1,), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (3, 2, 5), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (3, 2, 5), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (3, 2, 5), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (3, 2, 5), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (3, 2, 5), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (3, 2, 5), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (3, 2, 5), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (3, 2, 5), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (3, 2, 5), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function krogh_deriv at 0x30f2c08>, (3, 2, 5), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (0,), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (0,), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (0,), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (0,), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (0,), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (0,), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (0,), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (0,), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (0,), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (0,), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (1,), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (1,), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (1,), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (1,), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (1,), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (1,), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (1,), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (1,), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (1,), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (1,), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (3, 2, 5), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (3, 2, 5), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (3, 2, 5), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (3, 2, 5), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (3, 2, 5), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (3, 2, 5), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (3, 2, 5), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (3, 2, 5), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (3, 2, 5), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv at 0x30f2ed8>, (3, 2, 5), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (0,), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (0,), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (0,), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (0,), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (0,), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (0,), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (0,), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (0,), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (0,), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (0,), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (1,), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (1,), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (1,), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (1,), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (1,), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (1,), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (1,), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (1,), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (1,), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (1,), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (3, 2, 5), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (3, 2, 5), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (3, 2, 5), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (3, 2, 5), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (3, 2, 5), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (3, 2, 5), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (3, 2, 5), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (3, 2, 5), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (3, 2, 5), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv2 at 0x30f2cf8>, (3, 2, 5), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (0,), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (0,), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (0,), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (0,), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (0,), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (0,), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (0,), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (0,), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (0,), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (0,), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (1,), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (1,), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (1,), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (1,), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (1,), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (1,), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (1,), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (1,), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (1,), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (1,), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (3, 2, 5), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (3, 2, 5), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (3, 2, 5), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (3, 2, 5), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (3, 2, 5), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (3, 2, 5), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (3, 2, 5), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (3, 2, 5), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (3, 2, 5), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function pchip_deriv_inplace at 0x30f2f50>, (3, 2, 5), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (0,), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (0,), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (0,), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (0,), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (0,), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (0,), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (0,), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (0,), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (0,), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (0,), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (1,), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (1,), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (1,), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (1,), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (1,), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (1,), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (1,), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (1,), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (1,), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (1,), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (3, 2, 5), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (3, 2, 5), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (3, 2, 5), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (3, 2, 5), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (3, 2, 5), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (3, 2, 5), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (3, 2, 5), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (3, 2, 5), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (3, 2, 5), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv at 0x30f2c80>, (3, 2, 5), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (0,), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (0,), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (0,), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (0,), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (0,), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (0,), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (0,), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (0,), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (0,), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (0,), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (1,), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (1,), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (1,), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (1,), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (1,), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (1,), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (1,), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (1,), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (1,), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (1,), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (3, 2, 5), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (3, 2, 5), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (3, 2, 5), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (3, 2, 5), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (3, 2, 5), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (3, 2, 5), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (3, 2, 5), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (3, 2, 5), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (3, 2, 5), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function pchip_antideriv2 at 0x30f2b18>, (3, 2, 5), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (0,), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (0,), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (0,), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (0,), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (0,), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (0,), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (0,), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (0,), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (0,), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (0,), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (1,), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (1,), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (1,), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (1,), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (1,), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (1,), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (1,), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (1,), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (1,), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (1,), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (3, 2, 5), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (3, 2, 5), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (3, 2, 5), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (3, 2, 5), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (3, 2, 5), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (3, 2, 5), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (3, 2, 5), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (3, 2, 5), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (3, 2, 5), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function akima_deriv at 0x30f2e60>, (3, 2, 5), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (0,), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (0,), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (0,), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (0,), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (0,), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (0,), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (0,), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (0,), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (0,), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (0,), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (1,), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (1,), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (1,), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (1,), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (1,), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (1,), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (1,), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (1,), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (1,), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (1,), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (3, 2, 5), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (3, 2, 5), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (3, 2, 5), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (3, 2, 5), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (3, 2, 5), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (3, 2, 5), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (3, 2, 5), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (3, 2, 5), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (3, 2, 5), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function akima_antideriv at 0x30f2de8>, (3, 2, 5), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (0,), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (0,), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (0,), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (0,), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (0,), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (0,), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (0,), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (0,), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (0,), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (0,), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (1,), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (1,), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (1,), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (1,), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (1,), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (1,), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (1,), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (1,), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (1,), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (1,), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (3, 2, 5), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (3, 2, 5), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (3, 2, 5), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (3, 2, 5), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (3, 2, 5), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (3, 2, 5), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (3, 2, 5), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (3, 2, 5), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (3, 2, 5), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function cspline_deriv at 0x30f2d70>, (3, 2, 5), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (0,), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (0,), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (0,), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (0,), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (0,), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (0,), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (0,), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (0,), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (0,), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (0,), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (1,), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (1,), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (1,), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (1,), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (1,), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (1,), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (1,), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (1,), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (1,), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (1,), (3, 2, 5), (), 2) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (3, 2, 5), (0,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (3, 2, 5), (0,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (3, 2, 5), (1,), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (3, 2, 5), (1,), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (3, 2, 5), (3, 2, 5), (), -3) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (3, 2, 5), (3, 2, 5), (), -2) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (3, 2, 5), (3, 2, 5), (), -1) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (3, 2, 5), (3, 2, 5), (), 0) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (3, 2, 5), (3, 2, 5), (), 1) ... ok
test_polyint.test_deriv_shapes(<function cspline_antideriv at 0x3100050>, (3, 2, 5), (3, 2, 5), (), 2) ... ok
test_polyint.test_complex(<class 'scipy.interpolate.polyint.KroghInterpolator'>,) ... ok
test_polyint.test_complex(<class 'scipy.interpolate.polyint.BarycentricInterpolator'>,) ... ok
test_polyint.test_complex(<class 'scipy.interpolate._cubic.PchipInterpolator'>,) ... ok
test_polyint.test_complex(<class 'scipy.interpolate._cubic.CubicSpline'>,) ... ok
test_rbf.test_rbf_interpolation('multiquadric',) ... ok
test_rbf.test_rbf_interpolation('multiquadric',) ... ok
test_rbf.test_rbf_interpolation('multiquadric',) ... ok
test_rbf.test_rbf_interpolation('inverse multiquadric',) ... ok
test_rbf.test_rbf_interpolation('inverse multiquadric',) ... ok
test_rbf.test_rbf_interpolation('inverse multiquadric',) ... ok
test_rbf.test_rbf_interpolation('gaussian',) ... ok
test_rbf.test_rbf_interpolation('gaussian',) ... ok
test_rbf.test_rbf_interpolation('gaussian',) ... ok
test_rbf.test_rbf_interpolation('cubic',) ... ok
test_rbf.test_rbf_interpolation('cubic',) ... ok
test_rbf.test_rbf_interpolation('cubic',) ... ok
test_rbf.test_rbf_interpolation('quintic',) ... ok
test_rbf.test_rbf_interpolation('quintic',) ... ok
test_rbf.test_rbf_interpolation('quintic',) ... ok
test_rbf.test_rbf_interpolation('thin-plate',) ... ok
test_rbf.test_rbf_interpolation('thin-plate',) ... ok
test_rbf.test_rbf_interpolation('thin-plate',) ... ok
test_rbf.test_rbf_interpolation('linear',) ... ok
test_rbf.test_rbf_interpolation('linear',) ... ok
test_rbf.test_rbf_interpolation('linear',) ... ok
test_rbf.test_rbf_regularity('multiquadric', 0.1) ... ok
test_rbf.test_rbf_regularity('inverse multiquadric', 0.15) ... ok
test_rbf.test_rbf_regularity('gaussian', 0.15) ... ok
test_rbf.test_rbf_regularity('cubic', 0.15) ... ok
test_rbf.test_rbf_regularity('quintic', 0.1) ... ok
test_rbf.test_rbf_regularity('thin-plate', 0.1) ... ok
test_rbf.test_rbf_regularity('linear', 0.2) ... ok
test_rbf.test_rbf_stability('multiquadric',) ... ok
test_rbf.test_rbf_stability('inverse multiquadric',) ... ok
test_rbf.test_rbf_stability('gaussian',) ... ok
test_rbf.test_rbf_stability('cubic',) ... ok
test_rbf.test_rbf_stability('quintic',) ... ok
test_rbf.test_rbf_stability('thin-plate',) ... ok
test_rbf.test_rbf_stability('linear',) ... ok
test_rbf.test_default_construction ... ok
test_rbf.test_function_is_callable ... ok
test_rbf.test_two_arg_function_is_callable ... ok
test_rbf.test_rbf_epsilon_none ... ok
test_rbf.test_rbf_epsilon_none_collinear ... ok
Ticket #629 ... ok
test1 (test_arffread.DataTest) ... ok
test2 (test_arffread.DataTest) ... ok
test3 (test_arffread.DataTest) ... ok
test_filelike (test_arffread.DataTest) ... ok
test_date_attribute (test_arffread.DateAttributeTest) ... ok
test_datetime_local_attribute (test_arffread.DateAttributeTest) ... ok
test_datetime_missing (test_arffread.DateAttributeTest) ... ok
test_datetime_timezone (test_arffread.DateAttributeTest) ... ok
test_month_attribute (test_arffread.DateAttributeTest) ... ok
test_year_attribute (test_arffread.DateAttributeTest) ... ok
test_badtype_parsing (test_arffread.HeaderTest) ... ok
test_dateheader (test_arffread.HeaderTest) ... ok
test_dateheader_unsupported (test_arffread.HeaderTest) ... ok
test_fullheader1 (test_arffread.HeaderTest) ... ok
test_type_parsing (test_arffread.HeaderTest) ... ok
test_missing (test_arffread.MissingDataTest) ... ok
test_nodata (test_arffread.NoDataTest) ... ok
test_from_number (test_fortran_format.TestExpFormat) ... ok
test_to_fortran (test_fortran_format.TestExpFormat) ... ok
test_exp_exp (test_fortran_format.TestFortranFormatParser) ... ok
test_repeat_exp (test_fortran_format.TestFortranFormatParser) ... ok
test_repeat_exp_exp (test_fortran_format.TestFortranFormatParser) ... ok
test_simple_exp (test_fortran_format.TestFortranFormatParser) ... ok
test_simple_int (test_fortran_format.TestFortranFormatParser) ... ok
test_simple_repeated_int (test_fortran_format.TestFortranFormatParser) ... ok
test_wrong_formats (test_fortran_format.TestFortranFormatParser) ... ok
test_from_number (test_fortran_format.TestIntFormat) ... ok
test_to_fortran (test_fortran_format.TestIntFormat) ... ok
test_simple (test_hb.TestHBReader) ... ok
test_simple (test_hb.TestRBRoundtrip) ... ok
test_byteordercodes.test_native ... ok
test_byteordercodes.test_to_numpy ... ok
test_mio.test_load('double', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_6.1_SOL2.mat'], {'testdouble': array([[ 0.        ,  0.78539816,  1.57079633,  2.35619449,  3.14159265, ... ok
test_mio.test_load('string', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_4.2c_SOL2.mat'], {'teststring': array([u'"Do nine men interpret?" "Nine men," I nod.'], ... ok
test_mio.test_load('complex', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_7.4_GLNX86.mat'], {'testcomplex': array([[  1.00000000e+00 +0.00000000e+00j, ... ok
test_mio.test_load('matrix', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_7.4_GLNX86.mat'], {'testmatrix': array([[ 1.,  2.,  3.,  4.,  5.], ... ok
test_mio.test_load('sparse', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_6.1_SOL2.mat'], {'testsparse': <3x5 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_mio.test_load('sparsecomplex', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_6.1_SOL2.mat'], {'testsparsecomplex': <3x5 sparse matrix of type '<type 'numpy.complex128'>' ... ok
test_mio.test_load('multi', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmulti_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmulti_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmulti_7.1_GLNX86.mat'], {'a': array([[ 1.,  2.,  3.,  4.,  5.], ... ok
test_mio.test_load('minus', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_7.1_GLNX86.mat'], {'testminus': array([[-1]])}) ... ok
test_mio.test_load('onechar', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_6.5.1_GLNX86.mat'], {'testonechar': array([u'r'], ... ok
/usr/lib64/python2.7/site-packages/numpy/core/arrayprint.py:637: DeprecationWarning: unorderable dtypes; returning scalar but in the future this will be an error
  max_str_len = max(len(str(maximum.reduce(data))),
/usr/lib64/python2.7/site-packages/numpy/core/arrayprint.py:637: DeprecationWarning: unorderable dtypes; returning scalar but in the future this will be an error
  max_str_len = max(len(str(maximum.reduce(data))),
/usr/lib64/python2.7/site-packages/numpy/core/arrayprint.py:637: DeprecationWarning: unorderable dtypes; returning scalar but in the future this will be an error
  max_str_len = max(len(str(maximum.reduce(data))),
/usr/lib64/python2.7/site-packages/numpy/core/arrayprint.py:637: DeprecationWarning: unorderable dtypes; returning scalar but in the future this will be an error
  max_str_len = max(len(str(maximum.reduce(data))),
/usr/lib64/python2.7/site-packages/numpy/core/arrayprint.py:637: DeprecationWarning: unorderable dtypes; returning scalar but in the future this will be an error
  max_str_len = max(len(str(maximum.reduce(data))),
/usr/lib64/python2.7/site-packages/numpy/core/arrayprint.py:637: DeprecationWarning: unorderable dtypes; returning scalar but in the future this will be an error
  max_str_len = max(len(str(maximum.reduce(data))),
test_mio.test_load('cell', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcell_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcell_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcell_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcell_7.4_GLNX86.mat'], {'testcell': array([[ array([u'This cell contains this string and 3 arrays of increasing length'], ... ok
test_mio.test_load('scalarcell', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testscalarcell_7.4_GLNX86.mat'], {'testscalarcell': array([[array([[1]])]], dtype=object)}) ... ok
test_mio.test_load('emptycell', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testemptycell_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testemptycell_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testemptycell_5.3_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testemptycell_7.1_GLNX86.mat'], {'testemptycell': array([[array([[1]]), array([[2]]), array([], shape=(0, 0), dtype=float64), ... ok
test_mio.test_load('stringarray', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_7.4_GLNX86.mat'], {'teststringarray': array([u'one  ', u'two  ', u'three'], ... ok
test_mio.test_load('3dmatrix', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/test3dmatrix_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/test3dmatrix_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/test3dmatrix_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/test3dmatrix_7.4_GLNX86.mat'], {'test3dmatrix': array([[[ 1,  7, 13, 19], ... ok
test_mio.test_load('struct', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststruct_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststruct_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststruct_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststruct_7.1_GLNX86.mat'], {'teststruct': array([[ ([u'Rats live on no evil star.'], [[1.4142135623730951, 2.718281828459045, 3.141592653589793]], [[(1.4142135623730951+1.4142135623730951j), (2.718281828459045+2.718281828459045j), (3.141592653589793+3.141592653589793j)]])]], ... ok
test_mio.test_load('cellnest', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcellnest_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcellnest_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcellnest_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcellnest_6.1_SOL2.mat'], {'testcellnest': array([[array([[1]]), ... ok
test_mio.test_load('structnest', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructnest_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructnest_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructnest_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructnest_7.1_GLNX86.mat'], {'teststructnest': array([[([[1]], [[(array([u'number 3'], ... ok
test_mio.test_load('structarr', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructarr_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructarr_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructarr_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructarr_6.1_SOL2.mat'], {'teststructarr': array([[([[1]], [[2]]), ([u'number 1'], [u'number 2'])]], ... ok
test_mio.test_load('object', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testobject_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testobject_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testobject_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testobject_7.4_GLNX86.mat'], {'testobject': MatlabObject([[([u'x'], [u' x = INLINE_INPUTS_{1};'], [u'x'], [[0]], [[1]], [[1]])]], ... ok
test_mio.test_load('unicode', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testunicode_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testunicode_7.4_GLNX86.mat'], {'testunicode': array([ u'Japanese: \n\u3059\u3079\u3066\u306e\u4eba\u9593\u306f\u3001\u751f\u307e\u308c\u306a\u304c\u3089\u306b\u3057\u3066\u81ea\u7531\u3067\u3042\u308a\u3001\n\u304b\u3064\u3001\u5c0a\u53b3\u3068\u6a29\u5229\u3068 \u306b\u3064\u3044\u3066\u5e73\u7b49\u3067\u3042\u308b\u3002\n\u4eba\u9593\u306f\u3001\u7406\u6027\u3068\u826f\u5fc3\u3068\u3092\u6388\u3051\u3089\u308c\u3066\u304a\u308a\u3001\n\u4e92\u3044\u306b\u540c\u80de\u306e\u7cbe\u795e\u3092\u3082\u3063\u3066\u884c\u52d5\u3057\u306a\u3051\u308c\u3070\u306a\u3089\u306a\u3044\u3002'], ... ok
test_mio.test_load('sparse', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_6.1_SOL2.mat'], {'testsparse': <3x5 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_mio.test_load('sparsecomplex', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_6.1_SOL2.mat'], {'testsparsecomplex': <3x5 sparse matrix of type '<type 'numpy.complex128'>' ... ok
test_mio.test_load('bool', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testbool_8_WIN64.mat'], {'testbools': array([[ True], ... ok
test_mio.test_whos('double', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testdouble_6.1_SOL2.mat'], {'testdouble': array([[ 0.        ,  0.78539816,  1.57079633,  2.35619449,  3.14159265, ... ok
test_mio.test_whos('string', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststring_4.2c_SOL2.mat'], {'teststring': array([u'"Do nine men interpret?" "Nine men," I nod.'], ... ok
test_mio.test_whos('complex', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcomplex_7.4_GLNX86.mat'], {'testcomplex': array([[  1.00000000e+00 +0.00000000e+00j, ... ok
test_mio.test_whos('matrix', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmatrix_7.4_GLNX86.mat'], {'testmatrix': array([[ 1.,  2.,  3.,  4.,  5.], ... ok
test_mio.test_whos('sparse', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_6.1_SOL2.mat'], {'testsparse': <3x5 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_mio.test_whos('sparsecomplex', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_6.1_SOL2.mat'], {'testsparsecomplex': <3x5 sparse matrix of type '<type 'numpy.complex128'>' ... ok
test_mio.test_whos('multi', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmulti_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmulti_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testmulti_7.1_GLNX86.mat'], {'a': array([[ 1.,  2.,  3.,  4.,  5.], ... ok
test_mio.test_whos('minus', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testminus_7.1_GLNX86.mat'], {'testminus': array([[-1]])}, {'testminus': 'double'}) ... ok
test_mio.test_whos('onechar', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testonechar_6.5.1_GLNX86.mat'], {'testonechar': array([u'r'], ... ok
/usr/lib64/python2.7/site-packages/numpy/core/arrayprint.py:637: DeprecationWarning: unorderable dtypes; returning scalar but in the future this will be an error
  max_str_len = max(len(str(maximum.reduce(data))),
/usr/lib64/python2.7/site-packages/numpy/core/arrayprint.py:637: DeprecationWarning: unorderable dtypes; returning scalar but in the future this will be an error
  max_str_len = max(len(str(maximum.reduce(data))),
/usr/lib64/python2.7/site-packages/numpy/core/arrayprint.py:637: DeprecationWarning: unorderable dtypes; returning scalar but in the future this will be an error
  max_str_len = max(len(str(maximum.reduce(data))),
/usr/lib64/python2.7/site-packages/numpy/core/arrayprint.py:637: DeprecationWarning: unorderable dtypes; returning scalar but in the future this will be an error
  max_str_len = max(len(str(maximum.reduce(data))),
/usr/lib64/python2.7/site-packages/numpy/core/arrayprint.py:637: DeprecationWarning: unorderable dtypes; returning scalar but in the future this will be an error
  max_str_len = max(len(str(maximum.reduce(data))),
/usr/lib64/python2.7/site-packages/numpy/core/arrayprint.py:637: DeprecationWarning: unorderable dtypes; returning scalar but in the future this will be an error
  max_str_len = max(len(str(maximum.reduce(data))),
test_mio.test_whos('cell', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcell_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcell_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcell_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcell_7.4_GLNX86.mat'], {'testcell': array([[ array([u'This cell contains this string and 3 arrays of increasing length'], ... ok
test_mio.test_whos('scalarcell', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testscalarcell_7.4_GLNX86.mat'], {'testscalarcell': array([[array([[1]])]], dtype=object)}, {'testscalarcell': 'cell'}) ... ok
test_mio.test_whos('emptycell', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testemptycell_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testemptycell_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testemptycell_5.3_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testemptycell_7.1_GLNX86.mat'], {'testemptycell': array([[array([[1]]), array([[2]]), array([], shape=(0, 0), dtype=float64), ... ok
test_mio.test_whos('stringarray', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststringarray_7.4_GLNX86.mat'], {'teststringarray': array([u'one  ', u'two  ', u'three'], ... ok
test_mio.test_whos('3dmatrix', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/test3dmatrix_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/test3dmatrix_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/test3dmatrix_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/test3dmatrix_7.4_GLNX86.mat'], {'test3dmatrix': array([[[ 1,  7, 13, 19], ... ok
test_mio.test_whos('struct', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststruct_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststruct_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststruct_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststruct_7.1_GLNX86.mat'], {'teststruct': array([[ ([u'Rats live on no evil star.'], [[1.4142135623730951, 2.718281828459045, 3.141592653589793]], [[(1.4142135623730951+1.4142135623730951j), (2.718281828459045+2.718281828459045j), (3.141592653589793+3.141592653589793j)]])]], ... ok
test_mio.test_whos('cellnest', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcellnest_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcellnest_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcellnest_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testcellnest_6.1_SOL2.mat'], {'testcellnest': array([[array([[1]]), ... ok
test_mio.test_whos('structnest', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructnest_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructnest_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructnest_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructnest_7.1_GLNX86.mat'], {'teststructnest': array([[([[1]], [[(array([u'number 3'], ... ok
test_mio.test_whos('structarr', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructarr_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructarr_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructarr_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/teststructarr_6.1_SOL2.mat'], {'teststructarr': array([[([[1]], [[2]]), ([u'number 1'], [u'number 2'])]], ... ok
test_mio.test_whos('object', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testobject_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testobject_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testobject_6.1_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testobject_7.4_GLNX86.mat'], {'testobject': MatlabObject([[([u'x'], [u' x = INLINE_INPUTS_{1};'], [u'x'], [[0]], [[1]], [[1]])]], ... ok
test_mio.test_whos('unicode', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testunicode_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testunicode_7.4_GLNX86.mat'], {'testunicode': array([ u'Japanese: \n\u3059\u3079\u3066\u306e\u4eba\u9593\u306f\u3001\u751f\u307e\u308c\u306a\u304c\u3089\u306b\u3057\u3066\u81ea\u7531\u3067\u3042\u308a\u3001\n\u304b\u3064\u3001\u5c0a\u53b3\u3068\u6a29\u5229\u3068 \u306b\u3064\u3044\u3066\u5e73\u7b49\u3067\u3042\u308b\u3002\n\u4eba\u9593\u306f\u3001\u7406\u6027\u3068\u826f\u5fc3\u3068\u3092\u6388\u3051\u3089\u308c\u3066\u304a\u308a\u3001\n\u4e92\u3044\u306b\u540c\u80de\u306e\u7cbe\u795e\u3092\u3082\u3063\u3066\u884c\u52d5\u3057\u306a\u3051\u308c\u3070\u306a\u3089\u306a\u3044\u3002'], ... ok
test_mio.test_whos('sparse', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparse_6.1_SOL2.mat'], {'testsparse': <3x5 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_mio.test_whos('sparsecomplex', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_7.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_6.5.1_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_7.4_GLNX86.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_4.2c_SOL2.mat', '/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testsparsecomplex_6.1_SOL2.mat'], {'testsparsecomplex': <3x5 sparse matrix of type '<type 'numpy.complex128'>' ... ok
test_mio.test_whos('bool', ['/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy/io/matlab/tests/data/testbool_8_WIN64.mat'], {'testbools': array([[ True], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_round_trip('onechar_round_trip', {'testonechar': array([u'r'], ... ok
test_mio.test_gzip_simple ... ok
test_mio.test_multiple_open ... ok
test_mio.test_mat73 ... ok
test_mio.test_warnings ... ok
test_mio.test_regression_653 ... ok
test_mio.test_structname_len ... ok
test_mio.test_4_and_long_field_names_incompatible ... ok
test_mio.test_long_field_names ... ok
test_mio.test_long_field_names_in_struct ... ok
test_mio.test_cell_with_one_thing_in_it ... ok
test_mio.test_writer_properties([], []) ... ok
test_mio.test_writer_properties(['avar'], ['avar']) ... ok
test_mio.test_writer_properties(False, False) ... ok
test_mio.test_writer_properties(True, True) ... ok
test_mio.test_writer_properties(False, False) ... ok
test_mio.test_writer_properties(True, True) ... ok
test_mio.test_use_small_element(True,) ... ok
test_mio.test_use_small_element(True,) ... ok
test_mio.test_save_dict ... ok
test_mio.test_1d_shape ... ok
test_mio.test_compression(array([[ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0., ... ok
test_mio.test_compression(array([[ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0., ... ok
test_mio.test_compression(True,) ... ok
test_mio.test_compression(array([[ 1.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0., ... ok
test_mio.test_compression(array([[ 1.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0., ... ok
test_mio.test_single_object ... ok
test_mio.test_skip_variable(True,) ... ok
test_mio.test_skip_variable(True,) ... ok
test_mio.test_skip_variable(True,) ... ok
test_mio.test_empty_struct ... ok
test_mio.test_save_empty_dict ... ok
test_mio.test_to_writeable ... ok
test_mio.test_recarray(array([[ 0.5]]), 0.5) ... ok
test_mio.test_recarray(array([u'python'], ... ok
test_mio.test_recarray(array([[ 0.5]]), 0.5) ... ok
test_mio.test_recarray(array([u'python'], ... ok
test_mio.test_recarray(dtype([('f1', 'O'), ('f2', 'O')]), dtype([('f1', 'O'), ('f2', 'O')])) ... ok
test_mio.test_recarray(array([[ 99.]]), 99) ... ok
test_mio.test_recarray(array([u'not perl'], ... ok
test_mio.test_save_object ... ok
test_mio.test_read_opts ... ok
test_mio.test_empty_string ... ok
test_mio.test_corrupted_data ... ok
test_mio.test_corrupted_data_check_can_be_disabled ... ok
test_mio.test_read_both_endian ... ok
test_mio.test_write_opposite_endian ... ok
test_mio.test_logical_array ... ok
test_mio.test_logical_out_type ... ok
test_mio.test_mat4_3d ... ok
test_mio.test_func_read ... ok
test_mio.test_mat_dtype('u', 'u') ... ok
test_mio.test_mat_dtype('f', 'f') ... ok
test_mio.test_sparse_in_struct(matrix([[ 1.,  0.,  0.,  0.], ... ok
test_mio.test_mat_struct_squeeze ... ok
test_mio.test_scalar_squeeze ... ok
test_mio.test_str_round ... ok
test_mio.test_fieldnames ... ok
test_mio.test_loadmat_varnames ... ok
test_mio.test_round_types ... ok
test_mio.test_varmats_from_mat ... ok
test_mio.test_one_by_zero ... ok
test_mio.test_load_mat4_le ... ok
test_mio.test_unicode_mat4 ... ok
test_mio.test_logical_sparse ... ok
test_mio.test_empty_sparse ... ok
test_mio.test_empty_mat_error ... ok
test_mio.test_miuint32_compromise ... ok
test_mio.test_miutf8_for_miint8_compromise ... ok
test_mio.test_bad_utf8 ... ok
test_mio5_utils.test_byteswap ... ok
test_mio5_utils.test_read_tag ... ok
test_mio5_utils.test_read_stream ... ok
test_mio5_utils.test_read_numeric ... ok
test_mio5_utils.test_read_numeric_writeable ... ok
test_mio5_utils.test_zero_byte_string ... ok
test_mio_funcs.test_jottings ... ok
test_mio_utils.test_squeeze_element ... ok
test_mio_utils.test_chars_strings ... ok
test_miobase.test_matdims ... ok
test_pathological.test_multiple_fieldnames ... ok
test_pathological.test_malformed1 ... ok
test_streams.TestZlibInputStream.test_all_data_read ... ok
test_streams.TestZlibInputStream.test_read(0, 65536) ... ok
test_streams.TestZlibInputStream.test_read(0, 131071) ... ok
test_streams.TestZlibInputStream.test_read(0, 131072) ... ok
test_streams.TestZlibInputStream.test_read(0, 131073) ... ok
test_streams.TestZlibInputStream.test_read(1, 65536) ... ok
test_streams.TestZlibInputStream.test_read(1, 131071) ... ok
test_streams.TestZlibInputStream.test_read(1, 131072) ... ok
test_streams.TestZlibInputStream.test_read(1, 131073) ... ok
test_streams.TestZlibInputStream.test_read(10, 65536) ... ok
test_streams.TestZlibInputStream.test_read(10, 131071) ... ok
test_streams.TestZlibInputStream.test_read(10, 131072) ... ok
test_streams.TestZlibInputStream.test_read(10, 131073) ... ok
test_streams.TestZlibInputStream.test_read(65536, 65536) ... ok
test_streams.TestZlibInputStream.test_read(65536, 131071) ... ok
test_streams.TestZlibInputStream.test_read(65536, 131072) ... ok
test_streams.TestZlibInputStream.test_read(65536, 131073) ... ok
test_streams.TestZlibInputStream.test_read(131071, 65536) ... ok
test_streams.TestZlibInputStream.test_read(131071, 131071) ... ok
test_streams.TestZlibInputStream.test_read(131071, 131072) ... ok
test_streams.TestZlibInputStream.test_read(131071, 131073) ... ok
test_streams.TestZlibInputStream.test_read(131072, 65536) ... ok
test_streams.TestZlibInputStream.test_read(131072, 131071) ... ok
test_streams.TestZlibInputStream.test_read(131072, 131072) ... ok
test_streams.TestZlibInputStream.test_read(131072, 131073) ... ok
test_streams.TestZlibInputStream.test_read(131073, 65536) ... ok
test_streams.TestZlibInputStream.test_read(131073, 131071) ... ok
test_streams.TestZlibInputStream.test_read(131073, 131072) ... ok
test_streams.TestZlibInputStream.test_read(131073, 131073) ... ok
test_streams.TestZlibInputStream.test_read(262143, 65536) ... ok
test_streams.TestZlibInputStream.test_read(262143, 131071) ... ok
test_streams.TestZlibInputStream.test_read(262143, 131072) ... ok
test_streams.TestZlibInputStream.test_read(262143, 131073) ... ok
test_streams.TestZlibInputStream.test_read_max_length ... ok
test_streams.TestZlibInputStream.test_seek ... ok
test_streams.test_make_stream ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(5, 5) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(7, 7) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(6, 6) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(5, 5) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(7, 7) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(6, 6) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(5, 5) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(7, 7) ... ok
test_streams.test_tell_seek(0, 0) ... ok
test_streams.test_tell_seek(6, 6) ... ok
test_streams.test_read('a\x00string', 'a\x00string') ... ok
test_streams.test_read('a\x00st', 'a\x00st') ... ok
test_streams.test_read('a\x00st', 'a\x00st') ... ok
test_streams.test_read('ring', 'ring') ... ok
test_streams.test_read(<type 'exceptions.IOError'>, <built-in function _read_into>, <scipy.io.matlab.streams.FileStream object at 0x328a128>, 2) ... ok
test_streams.test_read('a\x00st', 'a\x00st') ... ok
test_streams.test_read('ring', 'ring') ... ok
test_streams.test_read(<type 'exceptions.IOError'>, <built-in function _read_string>, <scipy.io.matlab.streams.FileStream object at 0x328a128>, 2) ... ok
test_streams.test_read('a\x00string', 'a\x00string') ... ok
test_streams.test_read('a\x00st', 'a\x00st') ... ok
test_streams.test_read('a\x00st', 'a\x00st') ... ok
test_streams.test_read('ring', 'ring') ... ok
test_streams.test_read(<type 'exceptions.IOError'>, <built-in function _read_into>, <scipy.io.matlab.streams.GenericStream object at 0x3292f50>, 2) ... ok
test_streams.test_read('a\x00st', 'a\x00st') ... ok
test_streams.test_read('ring', 'ring') ... ok
test_streams.test_read(<type 'exceptions.IOError'>, <built-in function _read_string>, <scipy.io.matlab.streams.GenericStream object at 0x3292f50>, 2) ... ok
test_streams.test_read('a\x00string', 'a\x00string') ... ok
test_streams.test_read('a\x00st', 'a\x00st') ... ok
test_streams.test_read('a\x00st', 'a\x00st') ... ok
test_streams.test_read('ring', 'ring') ... ok
test_streams.test_read(<type 'exceptions.IOError'>, <built-in function _read_into>, <scipy.io.matlab.streams.cStringStream object at 0x3295650>, 2) ... ok
test_streams.test_read('a\x00st', 'a\x00st') ... ok
test_streams.test_read('ring', 'ring') ... ok
test_streams.test_read(<type 'exceptions.IOError'>, <built-in function _read_string>, <scipy.io.matlab.streams.cStringStream object at 0x3295650>, 2) ... ok
test_fortran.test_fortranfiles_read ... ok
test_fortran.test_fortranfiles_mixed_record ... ok
test_fortran.test_fortranfiles_write ... ok
test_idl.TestArrayDimensions.test_1d ... ok
test_idl.TestArrayDimensions.test_2d ... ok
test_idl.TestArrayDimensions.test_3d ... ok
test_idl.TestArrayDimensions.test_4d ... ok
test_idl.TestArrayDimensions.test_5d ... ok
test_idl.TestArrayDimensions.test_6d ... ok
test_idl.TestArrayDimensions.test_7d ... ok
test_idl.TestArrayDimensions.test_8d ... ok
test_idl.TestCompressed.test_byte ... ok
test_idl.TestCompressed.test_bytes ... ok
test_idl.TestCompressed.test_complex32 ... ok
test_idl.TestCompressed.test_complex64 ... ok
test_idl.TestCompressed.test_compressed ... ok
test_idl.TestCompressed.test_float32 ... ok
test_idl.TestCompressed.test_float64 ... ok
test_idl.TestCompressed.test_heap_pointer ... ok
test_idl.TestCompressed.test_int16 ... ok
test_idl.TestCompressed.test_int32 ... ok
test_idl.TestCompressed.test_int64 ... ok
test_idl.TestCompressed.test_object_reference ... ok
test_idl.TestCompressed.test_structure ... ok
test_idl.TestCompressed.test_uint16 ... ok
test_idl.TestCompressed.test_uint32 ... ok
test_idl.TestCompressed.test_uint64 ... ok
test_idl.TestIdict.test_idict ... ok
test_idl.TestPointerArray.test_1d ... ok
test_idl.TestPointerArray.test_2d ... ok
test_idl.TestPointerArray.test_3d ... ok
test_idl.TestPointerArray.test_4d ... ok
test_idl.TestPointerArray.test_5d ... ok
test_idl.TestPointerArray.test_6d ... ok
test_idl.TestPointerArray.test_7d ... ok
test_idl.TestPointerArray.test_8d ... ok
test_idl.TestPointerStructures.test_arrays ... ok
test_idl.TestPointerStructures.test_arrays_replicated ... ok
test_idl.TestPointerStructures.test_arrays_replicated_3d ... ok
test_idl.TestPointerStructures.test_pointers_replicated ... ok
test_idl.TestPointerStructures.test_pointers_replicated_3d ... ok
test_idl.TestPointerStructures.test_scalars ... ok
test_idl.TestPointers.test_pointers ... ok
test_idl.TestScalars.test_byte ... ok
test_idl.TestScalars.test_bytes ... ok
test_idl.TestScalars.test_complex32 ... ok
test_idl.TestScalars.test_complex64 ... ok
test_idl.TestScalars.test_float32 ... ok
test_idl.TestScalars.test_float64 ... ok
test_idl.TestScalars.test_heap_pointer ... ok
test_idl.TestScalars.test_int16 ... ok
test_idl.TestScalars.test_int32 ... ok
test_idl.TestScalars.test_int64 ... ok
test_idl.TestScalars.test_object_reference ... ok
test_idl.TestScalars.test_structure ... ok
test_idl.TestScalars.test_uint16 ... ok
test_idl.TestScalars.test_uint32 ... ok
test_idl.TestScalars.test_uint64 ... ok
test_idl.TestStructures.test_arrays ... ok
test_idl.TestStructures.test_arrays_corrupt_idl80 ... ok
test_idl.TestStructures.test_arrays_replicated ... ok
test_idl.TestStructures.test_arrays_replicated_3d ... ok
test_idl.TestStructures.test_inheritance ... ok
test_idl.TestStructures.test_scalars ... ok
test_idl.TestStructures.test_scalars_replicated ... ok
test_idl.TestStructures.test_scalars_replicated_3d ... ok
test_idl.TestTags.test_description ... ok
test_idl.test_null_pointer ... ok
test_idl.test_invalid_pointer ... ok
test_random_rectangular_float (test_mmio.TestMMIOArray) ... ok
test_random_symmetric_float (test_mmio.TestMMIOArray) ... ok
test_simple_complex (test_mmio.TestMMIOArray) ... ok
test_simple_float (test_mmio.TestMMIOArray) ... ok
test_simple_hermitian_complex (test_mmio.TestMMIOArray) ... ok
test_simple_integer (test_mmio.TestMMIOArray) ... ok
test_simple_lower_triangle_integer (test_mmio.TestMMIOArray) ... ok
test_simple_rectangular_float (test_mmio.TestMMIOArray) ... ok
test_simple_rectangular_integer (test_mmio.TestMMIOArray) ... ok
test_simple_skew_symmetric_float (test_mmio.TestMMIOArray) ... ok
test_simple_skew_symmetric_integer (test_mmio.TestMMIOArray) ... ok
test_simple_symmetric_integer (test_mmio.TestMMIOArray) ... ok
test_simple_upper_triangle_integer (test_mmio.TestMMIOArray) ... ok
test_bzip2_py3 (test_mmio.TestMMIOCoordinate) ... ok
test_complex_write_read (test_mmio.TestMMIOCoordinate) ... ok
test_empty_write_read (test_mmio.TestMMIOCoordinate) ... ok
test_gzip_py3 (test_mmio.TestMMIOCoordinate) ... ok
test_precision (test_mmio.TestMMIOCoordinate) ... ok
test_read_general (test_mmio.TestMMIOCoordinate) ... ok
test_read_hermitian (test_mmio.TestMMIOCoordinate) ... ok
test_read_skew (test_mmio.TestMMIOCoordinate) ... ok
test_read_symmetric (test_mmio.TestMMIOCoordinate) ... ok
test_read_symmetric_pattern (test_mmio.TestMMIOCoordinate) ... ok
test_real_write_read (test_mmio.TestMMIOCoordinate) ... ok
test_sparse_formats (test_mmio.TestMMIOCoordinate) ... ok
test_random_rectangular_float (test_mmio.TestMMIOSparseCSR) ... ok
test_random_symmetric_float (test_mmio.TestMMIOSparseCSR) ... ok
test_simple_complex (test_mmio.TestMMIOSparseCSR) ... ok
test_simple_float (test_mmio.TestMMIOSparseCSR) ... ok
test_simple_hermitian_complex (test_mmio.TestMMIOSparseCSR) ... ok
test_simple_integer (test_mmio.TestMMIOSparseCSR) ... ok
test_simple_lower_triangle_integer (test_mmio.TestMMIOSparseCSR) ... ok
test_simple_rectangular_float (test_mmio.TestMMIOSparseCSR) ... ok
test_simple_rectangular_integer (test_mmio.TestMMIOSparseCSR) ... ok
test_simple_skew_symmetric_float (test_mmio.TestMMIOSparseCSR) ... ok
test_simple_skew_symmetric_integer (test_mmio.TestMMIOSparseCSR) ... ok
test_simple_symmetric_integer (test_mmio.TestMMIOSparseCSR) ... ok
test_simple_upper_triangle_integer (test_mmio.TestMMIOSparseCSR) ... ok
test_netcdf.test_read_write_files ... ok
test_netcdf.test_read_write_sio ... ok
test_netcdf.test_read_example_data ... ok
test_netcdf.test_itemset_no_segfault_on_readonly ... ok
test_netcdf.test_write_invalid_dtype ... ok
test_netcdf.test_flush_rewind ... ok
test_netcdf.test_dtype_specifiers ... ok
test_netcdf.test_ticket_1720 ... ok
test_netcdf.test_mmaps_segfault ... ok
test_netcdf.test_zero_dimensional_var ... ok
test_netcdf.test_byte_gatts ... ok
test_netcdf.test_open_append ... ok
test_netcdf.test_maskandscale ... ok
test_netcdf.test_read_withValuesNearFillValue ... ok
test_netcdf.test_read_withNoFillValue ... ok
test_netcdf.test_read_withFillValueAndMissingValue ... ok
test_netcdf.test_read_withMissingValue ... ok
test_netcdf.test_read_withFillValNaN ... ok
test_netcdf.test_read_withChar ... ok
test_netcdf.test_read_with2dVar ... ok
test_netcdf.test_read_withMaskAndScaleFalse ... ok
test_wavfile.test_read_1 ... ok
test_wavfile.test_read_2 ... ok
test_wavfile.test_read_3 ... ok
test_wavfile.test_read_4 ... ok
test_wavfile.test_read_5 ... ok
test_wavfile.test_read_fail ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('>i2'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('>i2'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('>i2'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('>i2'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('>i2'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('>i2'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('int16'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('int16'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('int16'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('int16'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('int16'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('int16'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('>i4'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('>i4'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('>i4'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('>i4'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('>i4'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('>i4'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('int32'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('int32'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('int32'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('int32'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('int32'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('int32'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('>i8'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('>i8'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('>i8'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('>i8'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('>i8'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('>i8'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('int64'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('int64'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('int64'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('int64'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('int64'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('int64'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('uint8'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('uint8'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('uint8'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('uint8'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('uint8'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('uint8'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('>f4'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('>f4'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('>f4'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('>f4'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('>f4'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('>f4'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('float32'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('float32'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('float32'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('float32'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('float32'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('float32'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('>f8'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('>f8'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('>f8'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('>f8'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('>f8'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('>f8'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('float64'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('float64'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('float64'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('float64'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('float64'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('float64'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('>f16'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('>f16'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('>f16'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('>f16'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('>f16'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('>f16'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('float128'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('float128'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('float128'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('float128'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('float128'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('float128'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('>i8'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('>i8'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('>i8'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('>i8'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('>i8'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('>i8'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('int64'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('int64'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 8000, dtype('int64'), 5) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('int64'), 1) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('int64'), 2) ... ok
test_wavfile.test_write_roundtrip(False, 32000, dtype('int64'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('>i2'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('>i2'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('>i2'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('>i2'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('>i2'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('>i2'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('int16'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('int16'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('int16'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('int16'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('int16'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('int16'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('>i4'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('>i4'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('>i4'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('>i4'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('>i4'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('>i4'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('int32'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('int32'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('int32'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('int32'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('int32'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('int32'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('>i8'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('>i8'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('>i8'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('>i8'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('>i8'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('>i8'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('int64'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('int64'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('int64'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('int64'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('int64'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('int64'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('uint8'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('uint8'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('uint8'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('uint8'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('uint8'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('uint8'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('>f4'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('>f4'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('>f4'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('>f4'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('>f4'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('>f4'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('float32'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('float32'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('float32'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('float32'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('float32'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('float32'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('>f8'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('>f8'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('>f8'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('>f8'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('>f8'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('>f8'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('float64'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('float64'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('float64'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('float64'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('float64'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('float64'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('>f16'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('>f16'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('>f16'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('>f16'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('>f16'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('>f16'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('float128'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('float128'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('float128'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('float128'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('float128'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('float128'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('>i8'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('>i8'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('>i8'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('>i8'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('>i8'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('>i8'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('int64'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('int64'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 8000, dtype('int64'), 5) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('int64'), 1) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('int64'), 2) ... ok
test_wavfile.test_write_roundtrip(True, 32000, dtype('int64'), 5) ... ok
test_check_finite (test_basic.TestDet) ... ok
test_random (test_basic.TestDet) ... ok
test_random_complex (test_basic.TestDet) ... ok
test_simple (test_basic.TestDet) ... ok
test_simple_complex (test_basic.TestDet) ... ok
test_check_finite (test_basic.TestInv) ... ok
test_random (test_basic.TestInv) ... ok
test_random_complex (test_basic.TestInv) ... ok
test_simple (test_basic.TestInv) ... ok
test_simple_complex (test_basic.TestInv) ... ok
test_check_finite (test_basic.TestLstsq) ... ok
test_random_complex_exact (test_basic.TestLstsq) ... ok
test_random_complex_overdet (test_basic.TestLstsq) ... ok
test_random_exact (test_basic.TestLstsq) ... ok
test_random_overdet (test_basic.TestLstsq) ... ok
test_simple_exact (test_basic.TestLstsq) ... ok
test_simple_overdet (test_basic.TestLstsq) ... ok
test_simple_overdet_complex (test_basic.TestLstsq) ... ok
test_simple_underdet (test_basic.TestLstsq) ... ok
test_basic.TestMatrixNorms.test_axis_kwd ... ok
test_basic.TestMatrixNorms.test_keepdims_kwd ... ok
test_basic.TestMatrixNorms.test_matrix_norms ... ok
test_basic.TestOverwrite.test_det ... ok
test_basic.TestOverwrite.test_inv ... ok
test_basic.TestOverwrite.test_lstsq ... ok
test_basic.TestOverwrite.test_pinv ... ok
test_basic.TestOverwrite.test_pinv2 ... ok
test_basic.TestOverwrite.test_pinvh ... ok
test_basic.TestOverwrite.test_solve ... ok
test_basic.TestOverwrite.test_solve_banded ... ok
test_basic.TestOverwrite.test_solve_triangular ... ok
test_basic.TestOverwrite.test_solveh_banded ... ok
test_check_finite (test_basic.TestPinv) ... ok
test_simple_cols (test_basic.TestPinv) ... ok
test_simple_complex (test_basic.TestPinv) ... ok
test_simple_real (test_basic.TestPinv) ... ok
test_simple_rows (test_basic.TestPinv) ... ok
test_simple_singular (test_basic.TestPinv) ... ok
test_nonpositive (test_basic.TestPinvSymmetric) ... ok
test_simple_complex (test_basic.TestPinvSymmetric) ... ok
test_simple_real (test_basic.TestPinvSymmetric) ... ok
test_20Feb04_bug (test_basic.TestSolve) ... ok
test_check_finite (test_basic.TestSolve) ... ok
test_nils_20Feb04 (test_basic.TestSolve) ... ok
test_random (test_basic.TestSolve) ... ok
test_random_complex (test_basic.TestSolve) ... ok
test_random_sym (test_basic.TestSolve) ... ok
test_random_sym_complex (test_basic.TestSolve) ... ok
test_simple (test_basic.TestSolve) ... ok
test_simple_complex (test_basic.TestSolve) ... ok
test_simple_sym (test_basic.TestSolve) ... ok
test_simple_sym_complex (test_basic.TestSolve) ... ok
test_1x1 (test_basic.TestSolveBanded) ... ok
test_bad_shape (test_basic.TestSolveBanded) ... ok
test_check_finite (test_basic.TestSolveBanded) ... ok
test_complex (test_basic.TestSolveBanded) ... ok
test_real (test_basic.TestSolveBanded) ... ok
test_tridiag_complex (test_basic.TestSolveBanded) ... ok
test_tridiag_real (test_basic.TestSolveBanded) ... ok
test_axis_args (test_basic.TestSolveCirculant) ... ok
test_basic1 (test_basic.TestSolveCirculant) ... ok
test_basic2 (test_basic.TestSolveCirculant) ... ok
test_basic3 (test_basic.TestSolveCirculant) ... ok
test_complex (test_basic.TestSolveCirculant) ... ok
test_random_b_and_c (test_basic.TestSolveCirculant) ... ok
test_singular (test_basic.TestSolveCirculant) ... ok
test_01_complex (test_basic.TestSolveHBanded) ... ok
test_01_float32 (test_basic.TestSolveHBanded) ... ok
test_01_lower (test_basic.TestSolveHBanded) ... ok
test_01_upper (test_basic.TestSolveHBanded) ... ok
test_02_complex (test_basic.TestSolveHBanded) ... ok
test_02_float32 (test_basic.TestSolveHBanded) ... ok
test_02_lower (test_basic.TestSolveHBanded) ... ok
test_02_upper (test_basic.TestSolveHBanded) ... ok
test_03_upper (test_basic.TestSolveHBanded) ... ok
test_1x1 (test_basic.TestSolveHBanded) ... ok
test_bad_shapes (test_basic.TestSolveHBanded) ... ok
test_check_finite (test_basic.TestSolveHBanded) ... ok
test_tridiag_01_complex (test_basic.TestSolveHBanded) ... ok
test_tridiag_01_float32 (test_basic.TestSolveHBanded) ... ok
test_tridiag_01_lower (test_basic.TestSolveHBanded) ... ok
test_tridiag_01_upper (test_basic.TestSolveHBanded) ... ok
test_tridiag_02_complex (test_basic.TestSolveHBanded) ... ok
test_tridiag_02_float32 (test_basic.TestSolveHBanded) ... ok
test_tridiag_02_lower (test_basic.TestSolveHBanded) ... ok
test_tridiag_02_upper (test_basic.TestSolveHBanded) ... ok
test_tridiag_03_upper (test_basic.TestSolveHBanded) ... ok
solve_triangular on a simple 2x2 matrix. ... ok
solve_triangular on a simple 2x2 matrix. ... ok
solve_triangular on a simple 2x2 complex matrix ... ok
test_basic.TestVectorNorms.test_axis_kwd ... ok
test_basic.TestVectorNorms.test_keepdims_kwd ... ok
test_basic.TestVectorNorms.test_overflow ... ok
test_basic.TestVectorNorms.test_stable ... ok
test_basic.TestVectorNorms.test_types ... ok
test_basic.TestVectorNorms.test_zero_norm ... ok
test_summ_wrong_side (test_blas.TestBLAS3Symm) ... ok
test_symm (test_blas.TestBLAS3Symm) ... ok
SYMM only considers the upper/lower part of A. Hence setting ... ok
test_syr2k (test_blas.TestBLAS3Syr2k) ... ok
test_syr2k_wrong_c (test_blas.TestBLAS3Syr2k) ... 0-th dimension must be fixed to 3 but got 15
ok
test_syrk (test_blas.TestBLAS3Syrk) ... ok
test_syrk_wrong_c (test_blas.TestBLAS3Syrk) ... 0-th dimension must be fixed to 3 but got 5
ok
test_axpy (test_blas.TestCBLAS1Simple) ... ok
test_amax (test_blas.TestFBLAS1Simple) ... ok
test_asum (test_blas.TestFBLAS1Simple) ... ok
test_axpy (test_blas.TestFBLAS1Simple) ... ok
test_complex_dotc (test_blas.TestFBLAS1Simple) ... ok
test_complex_dotu (test_blas.TestFBLAS1Simple) ... ok
test_copy (test_blas.TestFBLAS1Simple) ... ok
test_dot (test_blas.TestFBLAS1Simple) ... ok
test_nrm2 (test_blas.TestFBLAS1Simple) ... ok
test_scal (test_blas.TestFBLAS1Simple) ... ok
test_swap (test_blas.TestFBLAS1Simple) ... ok
test_gemv (test_blas.TestFBLAS2Simple) ... ok
test_ger (test_blas.TestFBLAS2Simple) ... ok
test_her2 (test_blas.TestFBLAS2Simple) ... 0-th dimension must be fixed to 4 but got 2
0-th dimension must be fixed to 4 but got 2
ok
test_syr2 (test_blas.TestFBLAS2Simple) ... 0-th dimension must be fixed to 4 but got 2
0-th dimension must be fixed to 4 but got 2
ok
test_syr_her (test_blas.TestFBLAS2Simple) ... 0-th dimension must be fixed to 4 but got 2
0-th dimension must be fixed to 4 but got 2
0-th dimension must be fixed to 4 but got 2
0-th dimension must be fixed to 4 but got 2
0-th dimension must be fixed to 4 but got 2
0-th dimension must be fixed to 4 but got 2
ok
test_gemm (test_blas.TestFBLAS3Simple) ... ok
test_hemm_zc (test_blas.TestSyHe) ... ok
test_her2k_zr (test_blas.TestSyHe) ... ok
test_herk_zr (test_blas.TestSyHe) ... ok
test_symm_zc (test_blas.TestSyHe) ... ok
test_syr2k_zr (test_blas.TestSyHe) ... ok
test_syrk_zr (test_blas.TestSyHe) ... ok
test_ab (test_blas.TestTRMM) ... ok
test_ab_lower (test_blas.TestTRMM) ... ok
test_b_overwrites (test_blas.TestTRMM) ... ok
test_blas.test_get_blas_funcs ... ok
test_blas.test_get_blas_funcs_alias ... ok
test_lapack (test_build.TestF77Mismatch) ... ok
test_shapes (test_cython_blas.test_dgemm) ... ok
test_transposes (test_cython_blas.test_dgemm) ... ok
test_complex_args (test_cython_blas.test_wfunc_pointers) ... ok
test_double_args (test_cython_blas.test_wfunc_pointers) ... ok
test_double_complex_args (test_cython_blas.test_wfunc_pointers) ... ok
test_float_args (test_cython_blas.test_wfunc_pointers) ... ok
test_dlamch (test_cython_lapack.test_lamch) ... ok
test_slamch (test_cython_lapack.test_lamch) ... ok
test_datacopied (test_decomp.TestDatacopied) ... ok
test_simple (test_decomp.TestDiagSVD) ... ok
test_decomp.TestEig.test_bad_geneig ... ok
test_decomp.TestEig.test_check_finite ... ok
Test matrices giving some Nan generalized eigen values. ... ok
Check that passing a non-square array raises a ValueError. ... ok
Check that passing arrays of with different shapes raises a ValueError. ... ok
test_decomp.TestEig.test_simple ... ok
test_decomp.TestEig.test_simple_complex ... ok
test_decomp.TestEig.test_simple_complex_eig ... ok
test_decomp.TestEig.test_singular ... KNOWNFAIL: See gh-2254.
Compare dgbtrf  LU factorisation with the LU factorisation result ... ok
Compare dgbtrs  solutions for linear equation system  A*x = b ... ok
Compare dsbev eigenvalues and eigenvectors with ... ok
Compare dsbevd eigenvalues and eigenvectors with ... ok
Compare dsbevx eigenvalues and eigenvectors ... ok
Compare eigenvalues and eigenvectors of eig_banded ... ok
Compare eigenvalues of eigvals_banded with those of linalg.eig. ... ok
Compare zgbtrf  LU factorisation with the LU factorisation result ... ok
Compare zgbtrs  solutions for linear equation system  A*x = b ... ok
Compare zhbevd eigenvalues and eigenvectors ... ok
Compare zhbevx eigenvalues and eigenvectors ... ok
test_check_finite (test_decomp.TestEigVals) ... ok
test_simple (test_decomp.TestEigVals) ... ok
test_simple_complex (test_decomp.TestEigVals) ... ok
test_simple_tr (test_decomp.TestEigVals) ... ok
test_2x2 (test_decomp.TestHessenberg) ... ok
test_check_finite (test_decomp.TestHessenberg) ... ok
test_random (test_decomp.TestHessenberg) ... ok
test_random_complex (test_decomp.TestHessenberg) ... ok
test_simple (test_decomp.TestHessenberg) ... ok
test_simple2 (test_decomp.TestHessenberg) ... ok
test_simple3 (test_decomp.TestHessenberg) ... ok
test_simple_complex (test_decomp.TestHessenberg) ... ok
test_check_finite (test_decomp.TestLU) ... ok
test_hrectangular (test_decomp.TestLU) ... ok
test_hrectangular_complex (test_decomp.TestLU) ... ok
Check lu decomposition on medium size, rectangular matrix. ... ok
Check lu decomposition on medium size, rectangular matrix. ... ok
test_simple (test_decomp.TestLU) ... ok
test_simple2 (test_decomp.TestLU) ... ok
test_simple2_complex (test_decomp.TestLU) ... ok
test_simple_complex (test_decomp.TestLU) ... ok
test_simple_known (test_decomp.TestLU) ... ok
test_vrectangular (test_decomp.TestLU) ... ok
test_vrectangular_complex (test_decomp.TestLU) ... ok
test_check_finite (test_decomp.TestLUSingle) ... ok
test_hrectangular (test_decomp.TestLUSingle) ... ok
test_hrectangular_complex (test_decomp.TestLUSingle) ... ok
Check lu decomposition on medium size, rectangular matrix. ... ok
Check lu decomposition on medium size, rectangular matrix. ... ok
test_simple (test_decomp.TestLUSingle) ... ok
test_simple2 (test_decomp.TestLUSingle) ... ok
test_simple2_complex (test_decomp.TestLUSingle) ... ok
test_simple_complex (test_decomp.TestLUSingle) ... ok
test_simple_known (test_decomp.TestLUSingle) ... ok
test_vrectangular (test_decomp.TestLUSingle) ... ok
test_vrectangular_complex (test_decomp.TestLUSingle) ... ok
test_check_finite (test_decomp.TestLUSolve) ... ok
test_lu (test_decomp.TestLUSolve) ... ok
test_cef (test_decomp.TestOrdQZ) ... ok
test_diff_input_types (test_decomp.TestOrdQZ) ... ok
test_iuc (test_decomp.TestOrdQZ) ... ok
test_lhp (test_decomp.TestOrdQZ) ... ok
test_ouc (test_decomp.TestOrdQZ) ... ok
test_ref (test_decomp.TestOrdQZ) ... ok
test_rhp (test_decomp.TestOrdQZ) ... ok
test_decompose (test_decomp.TestOrdQZWorkspaceSize) ... ok
test_decompose_ouc (test_decomp.TestOrdQZWorkspaceSize) ... ok
test_decomp.TestOverwrite.test_eig ... ok
test_decomp.TestOverwrite.test_eig_banded ... ok
test_decomp.TestOverwrite.test_eigh ... ok
test_decomp.TestOverwrite.test_eigvals ... ok
test_decomp.TestOverwrite.test_eigvals_banded ... ok
test_decomp.TestOverwrite.test_eigvalsh ... ok
test_decomp.TestOverwrite.test_hessenberg ... ok
test_decomp.TestOverwrite.test_lu ... ok
test_decomp.TestOverwrite.test_lu_factor ... ok
test_decomp.TestOverwrite.test_lu_solve ... ok
test_decomp.TestOverwrite.test_qr ... ok
test_decomp.TestOverwrite.test_rq ... ok
test_decomp.TestOverwrite.test_schur ... ok
test_decomp.TestOverwrite.test_schur_complex ... ok
test_decomp.TestOverwrite.test_svd ... ok
test_decomp.TestOverwrite.test_svdvals ... ok
test_check_finite (test_decomp.TestQR) ... ok
test_lwork (test_decomp.TestQR) ... ok
test_random (test_decomp.TestQR) ... ok
test_random_complex (test_decomp.TestQR) ... ok
test_random_complex_left (test_decomp.TestQR) ... ok
test_random_complex_pivoting (test_decomp.TestQR) ... ok
test_random_complex_right (test_decomp.TestQR) ... ok
test_random_left (test_decomp.TestQR) ... ok
test_random_pivoting (test_decomp.TestQR) ... ok
test_random_right (test_decomp.TestQR) ... ok
test_random_tall (test_decomp.TestQR) ... ok
test_random_tall_e (test_decomp.TestQR) ... ok
test_random_tall_e_pivoting (test_decomp.TestQR) ... ok
test_random_tall_left (test_decomp.TestQR) ... ok
test_random_tall_pivoting (test_decomp.TestQR) ... ok
test_random_tall_right (test_decomp.TestQR) ... ok
test_random_trap (test_decomp.TestQR) ... ok
test_random_trap_pivoting (test_decomp.TestQR) ... ok
test_simple (test_decomp.TestQR) ... ok
test_simple_complex (test_decomp.TestQR) ... ok
test_simple_complex_left (test_decomp.TestQR) ... ok
test_simple_complex_left_conjugate (test_decomp.TestQR) ... ok
test_simple_complex_left_pivoting (test_decomp.TestQR) ... ok
test_simple_complex_pivoting (test_decomp.TestQR) ... ok
test_simple_complex_right (test_decomp.TestQR) ... ok
test_simple_complex_right_conjugate (test_decomp.TestQR) ... ok
test_simple_complex_right_pivoting (test_decomp.TestQR) ... ok
test_simple_complex_tall_left_conjugate (test_decomp.TestQR) ... ok
test_simple_fat (test_decomp.TestQR) ... ok
test_simple_fat_e (test_decomp.TestQR) ... ok
test_simple_fat_e_pivoting (test_decomp.TestQR) ... ok
test_simple_fat_left (test_decomp.TestQR) ... ok
test_simple_fat_left_pivoting (test_decomp.TestQR) ... ok
test_simple_fat_pivoting (test_decomp.TestQR) ... ok
test_simple_fat_right (test_decomp.TestQR) ... ok
test_simple_fat_right_pivoting (test_decomp.TestQR) ... ok
test_simple_left (test_decomp.TestQR) ... ok
test_simple_left_pivoting (test_decomp.TestQR) ... ok
test_simple_pivoting (test_decomp.TestQR) ... ok
test_simple_right (test_decomp.TestQR) ... ok
test_simple_right_pivoting (test_decomp.TestQR) ... ok
test_simple_tall (test_decomp.TestQR) ... ok
test_simple_tall_complex_left (test_decomp.TestQR) ... ok
test_simple_tall_e (test_decomp.TestQR) ... ok
test_simple_tall_e_pivoting (test_decomp.TestQR) ... ok
test_simple_tall_left (test_decomp.TestQR) ... ok
test_simple_tall_left_pivoting (test_decomp.TestQR) ... ok
test_simple_tall_pivoting (test_decomp.TestQR) ... ok
test_simple_tall_right (test_decomp.TestQR) ... ok
test_simple_tall_right_pivoting (test_decomp.TestQR) ... ok
test_simple_trap (test_decomp.TestQR) ... ok
test_simple_trap_pivoting (test_decomp.TestQR) ... ok
test_check_finite (test_decomp.TestQZ) ... ok
test_qz_complex (test_decomp.TestQZ) ... ok
test_qz_complex64 (test_decomp.TestQZ) ... ok
test_qz_double (test_decomp.TestQZ) ... ok
test_qz_double_complex (test_decomp.TestQZ) ... ok
test_qz_double_sort (test_decomp.TestQZ) ... ok
test_qz_single (test_decomp.TestQZ) ... ok
test_check_finite (test_decomp.TestRQ) ... ok
test_r (test_decomp.TestRQ) ... ok
test_random (test_decomp.TestRQ) ... ok
test_random_complex (test_decomp.TestRQ) ... ok
test_random_complex_economic (test_decomp.TestRQ) ... ok
test_random_tall (test_decomp.TestRQ) ... ok
test_random_trap (test_decomp.TestRQ) ... ok
test_random_trap_economic (test_decomp.TestRQ) ... ok
test_simple (test_decomp.TestRQ) ... ok
test_simple_complex (test_decomp.TestRQ) ... ok
test_simple_fat (test_decomp.TestRQ) ... ok
test_simple_tall (test_decomp.TestRQ) ... ok
test_simple_trap (test_decomp.TestRQ) ... ok
test_check_finite (test_decomp.TestSVDVals) ... ok
test_crash_2609 (test_decomp.TestSVDVals) ... ok
test_empty (test_decomp.TestSVDVals) ... ok
test_simple (test_decomp.TestSVDVals) ... ok
test_simple_complex (test_decomp.TestSVDVals) ... ok
test_simple_overdet (test_decomp.TestSVDVals) ... ok
test_simple_overdet_complex (test_decomp.TestSVDVals) ... ok
test_simple_underdet (test_decomp.TestSVDVals) ... ok
test_simple_underdet_complex (test_decomp.TestSVDVals) ... ok
test_check_finite (test_decomp.TestSVD_GESDD) ... ok
test_crash_1580 (test_decomp.TestSVD_GESDD) ... ok
test_degenerate (test_decomp.TestSVD_GESDD) ... ok
test_gh_5039 (test_decomp.TestSVD_GESDD) ... ok
test_random (test_decomp.TestSVD_GESDD) ... ok
test_random_complex (test_decomp.TestSVD_GESDD) ... ok
test_simple (test_decomp.TestSVD_GESDD) ... ok
test_simple_complex (test_decomp.TestSVD_GESDD) ... ok
test_simple_overdet (test_decomp.TestSVD_GESDD) ... ok
test_simple_singular (test_decomp.TestSVD_GESDD) ... ok
test_simple_underdet (test_decomp.TestSVD_GESDD) ... ok
test_check_finite (test_decomp.TestSVD_GESVD) ... ok
test_crash_1580 (test_decomp.TestSVD_GESVD) ... ok
test_degenerate (test_decomp.TestSVD_GESVD) ... ok
test_gh_5039 (test_decomp.TestSVD_GESVD) ... ok
test_random (test_decomp.TestSVD_GESVD) ... ok
test_random_complex (test_decomp.TestSVD_GESVD) ... ok
test_simple (test_decomp.TestSVD_GESVD) ... ok
test_simple_complex (test_decomp.TestSVD_GESVD) ... ok
test_simple_overdet (test_decomp.TestSVD_GESVD) ... ok
test_simple_singular (test_decomp.TestSVD_GESVD) ... ok
test_simple_underdet (test_decomp.TestSVD_GESVD) ... ok
test_check_finite (test_decomp.TestSchur) ... ok
test_simple (test_decomp.TestSchur) ... ok
test_sort (test_decomp.TestSchur) ... ok
test_sort_errors (test_decomp.TestSchur) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', True, True, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'f', True, True, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', True, False, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'f', True, False, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', True, True, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'f', True, True, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', True, False, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'f', True, False, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', True, True, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'f', True, True, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', True, False, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'f', True, False, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', True, True, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'f', True, True, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', True, False, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'f', True, False, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', False, True, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'f', False, True, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', False, False, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'f', False, False, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', False, True, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'f', False, True, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', False, False, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'f', False, False, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', False, True, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'f', False, True, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', False, False, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'f', False, False, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', False, True, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'f', False, True, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'f', False, False, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'f', False, False, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', True, True, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'd', True, True, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', True, False, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'd', True, False, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', True, True, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'd', True, True, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', True, False, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'd', True, False, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', True, True, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'd', True, True, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', True, False, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'd', True, False, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', True, True, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'd', True, True, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', True, False, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'd', True, False, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', False, True, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'd', False, True, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', False, False, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'd', False, False, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', False, True, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'd', False, True, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', False, False, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'd', False, False, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', False, True, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'd', False, True, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', False, False, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'd', False, False, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', False, True, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'd', False, True, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'd', False, False, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'd', False, False, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', True, True, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'F', True, True, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', True, False, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'F', True, False, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', True, True, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'F', True, True, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', True, False, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'F', True, False, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', True, True, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'F', True, True, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', True, False, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'F', True, False, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', True, True, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'F', True, True, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', True, False, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'F', True, False, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', False, True, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'F', False, True, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', False, False, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'F', False, False, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', False, True, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'F', False, True, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', False, False, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'F', False, False, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', False, True, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'F', False, True, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', False, False, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'F', False, False, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', False, True, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'F', False, True, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'F', False, False, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'F', False, False, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', True, True, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'D', True, True, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', True, False, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'D', True, False, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', True, True, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'D', True, True, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', True, False, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'D', True, False, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', True, True, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'D', True, True, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', True, False, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'D', True, False, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', True, True, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'D', True, True, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', True, False, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'D', True, False, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', False, True, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'D', False, True, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', False, False, True, None) ... ok
test_decomp.test_eigh('general ', 6, 'D', False, False, True, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', False, True, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'D', False, True, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', False, False, True, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'D', False, False, True, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', False, True, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'D', False, True, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', False, False, False, None) ... ok
test_decomp.test_eigh('general ', 6, 'D', False, False, False, None) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', False, True, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'D', False, True, False, (2, 4)) ... ok
test_decomp.test_eigh('ordinary', 6, 'D', False, False, False, (2, 4)) ... ok
test_decomp.test_eigh('general ', 6, 'D', False, False, False, (2, 4)) ... ok
test_decomp.test_eigh_of_sparse ... ok
test_decomp.test_eigh_integer ... ok
Check linalg works with non-aligned memory ... ok
Check linalg works with non-aligned memory ... ok
Check that complex objects don't need to be completely aligned ... ok
test_decomp.test_lapack_misaligned ... KNOWNFAIL: Ticket #1152, triggers a segfault in rare cases.
test_decomp.test_orth_memory_efficiency ... ok
test_decomp.test_orth ... ok
test_check_finite (test_decomp_cholesky.TestCholesky) ... ok
test_random (test_decomp_cholesky.TestCholesky) ... ok
test_random_complex (test_decomp_cholesky.TestCholesky) ... ok
test_simple (test_decomp_cholesky.TestCholesky) ... ok
test_simple_complex (test_decomp_cholesky.TestCholesky) ... ok
test_check_finite (test_decomp_cholesky.TestCholeskyBanded) ... ok
test_lower_complex (test_decomp_cholesky.TestCholeskyBanded) ... ok
test_lower_real (test_decomp_cholesky.TestCholeskyBanded) ... ok
test_upper_complex (test_decomp_cholesky.TestCholeskyBanded) ... ok
test_upper_real (test_decomp_cholesky.TestCholeskyBanded) ... ok
test_decomp_cholesky.TestOverwrite.test_cho_factor ... ok
test_decomp_cholesky.TestOverwrite.test_cho_solve ... ok
test_decomp_cholesky.TestOverwrite.test_cho_solve_banded ... ok
test_decomp_cholesky.TestOverwrite.test_cholesky ... ok
test_decomp_cholesky.TestOverwrite.test_cholesky_banded ... ok
test_decomp_polar.test_precomputed_cases([[0]], 'right', [[1]], [[0]]) ... ok
test_decomp_polar.test_precomputed_cases([[0]], 'left', [[1]], [[0]]) ... ok
test_decomp_polar.test_precomputed_cases([[9]], 'right', [[1]], [[9]]) ... ok
test_decomp_polar.test_precomputed_cases([[9]], 'left', [[1]], [[9]]) ... ok
test_decomp_polar.test_precomputed_cases(array([[2, 0], ... ok
test_decomp_polar.test_precomputed_cases(array([[2, 0], ... ok
test_decomp_polar.test_precomputed_cases(array([[1, 2, 2]]), 'right', array([[ 0.33333333,  0.66666667,  0.66666667]]), array([[ 0.33333333,  0.66666667,  0.66666667], ... ok
test_decomp_polar.test_verify_cases([[1, 2], [3, 4]],) ... ok
test_decomp_polar.test_verify_cases([[1, 2, 3]],) ... ok
test_decomp_polar.test_verify_cases([[1], [2], [3]],) ... ok
test_decomp_polar.test_verify_cases([[1, 2, 3], [3, 4, 0]],) ... ok
test_decomp_polar.test_verify_cases([[1, 2], [3, 4], [5, 5]],) ... ok
test_decomp_polar.test_verify_cases([[1, 2], [3, (4+5j)]],) ... ok
test_decomp_polar.test_verify_cases([[1, 2, 3j]],) ... ok
test_decomp_polar.test_verify_cases([[1], [2], [3j]],) ... ok
test_decomp_polar.test_verify_cases([[1, 2, (3+2j)], [3, (4-1j), -4j]],) ... ok
test_decomp_polar.test_verify_cases([[1, 2], [(3-2j), (4+0.5j)], [5, 5]],) ... ok
test_decomp_polar.test_verify_cases([[10000, 10, 1], [-1, 2, 3j], [0, 1, 2]],) ... ok
test_decomp_update.TestQRdelete_D.test_1xN_1_col ... ok
test_decomp_update.TestQRdelete_D.test_1xN_p_col ... ok
test_decomp_update.TestQRdelete_D.test_Mx1_1_row ... ok
test_decomp_update.TestQRdelete_D.test_Mx1_economic_1_row ... ok
test_decomp_update.TestQRdelete_D.test_Mx1_economic_p_row ... ok
test_decomp_update.TestQRdelete_D.test_Mx1_p_row ... ok
test_decomp_update.TestQRdelete_D.test_bad_k ... ok
test_decomp_update.TestQRdelete_D.test_bad_p ... ok
test_decomp_update.TestQRdelete_D.test_bad_which ... ok
test_decomp_update.TestQRdelete_D.test_check_finite ... ok
test_decomp_update.TestQRdelete_D.test_delete_1x1_row_col ... ok
test_decomp_update.TestQRdelete_D.test_delete_last_1_col ... ok
test_decomp_update.TestQRdelete_D.test_delete_last_1_row ... ok
test_decomp_update.TestQRdelete_D.test_delete_last_p_col ... ok
test_decomp_update.TestQRdelete_D.test_delete_last_p_row ... ok
test_decomp_update.TestQRdelete_D.test_economic_1_col ... ok
test_decomp_update.TestQRdelete_D.test_economic_1_row ... ok
test_decomp_update.TestQRdelete_D.test_economic_p_col ... ok
test_decomp_update.TestQRdelete_D.test_economic_p_row_economic ... ok
test_decomp_update.TestQRdelete_D.test_economic_p_row_fat ... ok
test_decomp_update.TestQRdelete_D.test_economic_p_row_sqr ... ok
test_decomp_update.TestQRdelete_D.test_empty_q ... ok
test_decomp_update.TestQRdelete_D.test_empty_r ... ok
test_decomp_update.TestQRdelete_D.test_fat_1_col ... ok
test_decomp_update.TestQRdelete_D.test_fat_1_row ... ok
test_decomp_update.TestQRdelete_D.test_fat_p_col ... ok
test_decomp_update.TestQRdelete_D.test_fat_p_row ... ok
test_decomp_update.TestQRdelete_D.test_mismatched_q_and_r ... ok
test_decomp_update.TestQRdelete_D.test_neg_k ... ok
test_decomp_update.TestQRdelete_D.test_neg_strides_1_col ... ok
test_decomp_update.TestQRdelete_D.test_neg_strides_1_row ... ok
test_decomp_update.TestQRdelete_D.test_neg_strides_p_col ... ok
test_decomp_update.TestQRdelete_D.test_neg_strides_p_row ... ok
test_decomp_update.TestQRdelete_D.test_non_itemize_strides_1_col ... ok
test_decomp_update.TestQRdelete_D.test_non_itemize_strides_1_row ... ok
test_decomp_update.TestQRdelete_D.test_non_itemize_strides_p_col ... ok
test_decomp_update.TestQRdelete_D.test_non_itemize_strides_p_row ... ok
test_decomp_update.TestQRdelete_D.test_non_native_byte_order_1_col ... ok
test_decomp_update.TestQRdelete_D.test_non_native_byte_order_1_row ... ok
test_decomp_update.TestQRdelete_D.test_non_native_byte_order_p_col ... ok
test_decomp_update.TestQRdelete_D.test_non_native_byte_order_p_row ... ok
test_decomp_update.TestQRdelete_D.test_non_unit_strides_1_col ... ok
test_decomp_update.TestQRdelete_D.test_non_unit_strides_1_row ... ok
test_decomp_update.TestQRdelete_D.test_non_unit_strides_p_col ... ok
test_decomp_update.TestQRdelete_D.test_non_unit_strides_p_row ... ok
test_decomp_update.TestQRdelete_D.test_overwrite_economic_qr_1_row ... ok
test_decomp_update.TestQRdelete_D.test_overwrite_economic_qr_p_row ... ok
test_decomp_update.TestQRdelete_D.test_overwrite_qr_1_col ... ok
test_decomp_update.TestQRdelete_D.test_overwrite_qr_1_row ... ok
test_decomp_update.TestQRdelete_D.test_overwrite_qr_p_col ... ok
test_decomp_update.TestQRdelete_D.test_overwrite_qr_p_row ... ok
test_decomp_update.TestQRdelete_D.test_qr_scalar ... ok
test_decomp_update.TestQRdelete_D.test_sqr_1_col ... ok
test_decomp_update.TestQRdelete_D.test_sqr_1_row ... ok
test_decomp_update.TestQRdelete_D.test_sqr_p_col ... ok
test_decomp_update.TestQRdelete_D.test_sqr_p_row ... ok
test_decomp_update.TestQRdelete_D.test_tall_1_col ... ok
test_decomp_update.TestQRdelete_D.test_tall_1_row ... ok
test_decomp_update.TestQRdelete_D.test_tall_p_col ... ok
test_decomp_update.TestQRdelete_D.test_tall_p_row ... ok
test_decomp_update.TestQRdelete_D.test_unsupported_dtypes ... ok
test_decomp_update.TestQRdelete_F.test_1xN_1_col ... ok
test_decomp_update.TestQRdelete_F.test_1xN_p_col ... ok
test_decomp_update.TestQRdelete_F.test_Mx1_1_row ... ok
test_decomp_update.TestQRdelete_F.test_Mx1_economic_1_row ... ok
test_decomp_update.TestQRdelete_F.test_Mx1_economic_p_row ... ok
test_decomp_update.TestQRdelete_F.test_Mx1_p_row ... ok
test_decomp_update.TestQRdelete_F.test_bad_k ... ok
test_decomp_update.TestQRdelete_F.test_bad_p ... ok
test_decomp_update.TestQRdelete_F.test_bad_which ... ok
test_decomp_update.TestQRdelete_F.test_check_finite ... ok
test_decomp_update.TestQRdelete_F.test_delete_1x1_row_col ... ok
test_decomp_update.TestQRdelete_F.test_delete_last_1_col ... ok
test_decomp_update.TestQRdelete_F.test_delete_last_1_row ... ok
test_decomp_update.TestQRdelete_F.test_delete_last_p_col ... ok
test_decomp_update.TestQRdelete_F.test_delete_last_p_row ... ok
test_decomp_update.TestQRdelete_F.test_economic_1_col ... ok
test_decomp_update.TestQRdelete_F.test_economic_1_row ... ok
test_decomp_update.TestQRdelete_F.test_economic_p_col ... ok
test_decomp_update.TestQRdelete_F.test_economic_p_row_economic ... ok
test_decomp_update.TestQRdelete_F.test_economic_p_row_fat ... ok
test_decomp_update.TestQRdelete_F.test_economic_p_row_sqr ... ok
test_decomp_update.TestQRdelete_F.test_empty_q ... ok
test_decomp_update.TestQRdelete_F.test_empty_r ... ok
test_decomp_update.TestQRdelete_F.test_fat_1_col ... ok
test_decomp_update.TestQRdelete_F.test_fat_1_row ... ok
test_decomp_update.TestQRdelete_F.test_fat_p_col ... ok
test_decomp_update.TestQRdelete_F.test_fat_p_row ... ok
test_decomp_update.TestQRdelete_F.test_mismatched_q_and_r ... ok
test_decomp_update.TestQRdelete_F.test_neg_k ... ok
test_decomp_update.TestQRdelete_F.test_neg_strides_1_col ... ok
test_decomp_update.TestQRdelete_F.test_neg_strides_1_row ... ok
test_decomp_update.TestQRdelete_F.test_neg_strides_p_col ... ok
test_decomp_update.TestQRdelete_F.test_neg_strides_p_row ... ok
test_decomp_update.TestQRdelete_F.test_non_itemize_strides_1_col ... ok
test_decomp_update.TestQRdelete_F.test_non_itemize_strides_1_row ... ok
test_decomp_update.TestQRdelete_F.test_non_itemize_strides_p_col ... ok
test_decomp_update.TestQRdelete_F.test_non_itemize_strides_p_row ... ok
test_decomp_update.TestQRdelete_F.test_non_native_byte_order_1_col ... ok
test_decomp_update.TestQRdelete_F.test_non_native_byte_order_1_row ... ok
test_decomp_update.TestQRdelete_F.test_non_native_byte_order_p_col ... ok
test_decomp_update.TestQRdelete_F.test_non_native_byte_order_p_row ... ok
test_decomp_update.TestQRdelete_F.test_non_unit_strides_1_col ... ok
test_decomp_update.TestQRdelete_F.test_non_unit_strides_1_row ... ok
test_decomp_update.TestQRdelete_F.test_non_unit_strides_p_col ... ok
test_decomp_update.TestQRdelete_F.test_non_unit_strides_p_row ... ok
test_decomp_update.TestQRdelete_F.test_overwrite_economic_qr_1_row ... ok
test_decomp_update.TestQRdelete_F.test_overwrite_economic_qr_p_row ... ok
test_decomp_update.TestQRdelete_F.test_overwrite_qr_1_col ... ok
test_decomp_update.TestQRdelete_F.test_overwrite_qr_1_row ... ok
test_decomp_update.TestQRdelete_F.test_overwrite_qr_p_col ... ok
test_decomp_update.TestQRdelete_F.test_overwrite_qr_p_row ... ok
test_decomp_update.TestQRdelete_F.test_qr_scalar ... ok
test_decomp_update.TestQRdelete_F.test_sqr_1_col ... ok
test_decomp_update.TestQRdelete_F.test_sqr_1_row ... ok
test_decomp_update.TestQRdelete_F.test_sqr_p_col ... ok
test_decomp_update.TestQRdelete_F.test_sqr_p_row ... ok
test_decomp_update.TestQRdelete_F.test_tall_1_col ... ok
test_decomp_update.TestQRdelete_F.test_tall_1_row ... ok
test_decomp_update.TestQRdelete_F.test_tall_p_col ... ok
test_decomp_update.TestQRdelete_F.test_tall_p_row ... ok
test_decomp_update.TestQRdelete_F.test_unsupported_dtypes ... ok
test_decomp_update.TestQRdelete_d.test_1xN_1_col ... ok
test_decomp_update.TestQRdelete_d.test_1xN_p_col ... ok
test_decomp_update.TestQRdelete_d.test_Mx1_1_row ... ok
test_decomp_update.TestQRdelete_d.test_Mx1_economic_1_row ... ok
test_decomp_update.TestQRdelete_d.test_Mx1_economic_p_row ... ok
test_decomp_update.TestQRdelete_d.test_Mx1_p_row ... ok
test_decomp_update.TestQRdelete_d.test_bad_k ... ok
test_decomp_update.TestQRdelete_d.test_bad_p ... ok
test_decomp_update.TestQRdelete_d.test_bad_which ... ok
test_decomp_update.TestQRdelete_d.test_check_finite ... ok
test_decomp_update.TestQRdelete_d.test_delete_1x1_row_col ... ok
test_decomp_update.TestQRdelete_d.test_delete_last_1_col ... ok
test_decomp_update.TestQRdelete_d.test_delete_last_1_row ... ok
test_decomp_update.TestQRdelete_d.test_delete_last_p_col ... ok
test_decomp_update.TestQRdelete_d.test_delete_last_p_row ... ok
test_decomp_update.TestQRdelete_d.test_economic_1_col ... ok
test_decomp_update.TestQRdelete_d.test_economic_1_row ... ok
test_decomp_update.TestQRdelete_d.test_economic_p_col ... ok
test_decomp_update.TestQRdelete_d.test_economic_p_row_economic ... ok
test_decomp_update.TestQRdelete_d.test_economic_p_row_fat ... ok
test_decomp_update.TestQRdelete_d.test_economic_p_row_sqr ... ok
test_decomp_update.TestQRdelete_d.test_empty_q ... ok
test_decomp_update.TestQRdelete_d.test_empty_r ... ok
test_decomp_update.TestQRdelete_d.test_fat_1_col ... ok
test_decomp_update.TestQRdelete_d.test_fat_1_row ... ok
test_decomp_update.TestQRdelete_d.test_fat_p_col ... ok
test_decomp_update.TestQRdelete_d.test_fat_p_row ... ok
test_decomp_update.TestQRdelete_d.test_mismatched_q_and_r ... ok
test_decomp_update.TestQRdelete_d.test_neg_k ... ok
test_decomp_update.TestQRdelete_d.test_neg_strides_1_col ... ok
test_decomp_update.TestQRdelete_d.test_neg_strides_1_row ... ok
test_decomp_update.TestQRdelete_d.test_neg_strides_p_col ... ok
test_decomp_update.TestQRdelete_d.test_neg_strides_p_row ... ok
test_decomp_update.TestQRdelete_d.test_non_itemize_strides_1_col ... ok
test_decomp_update.TestQRdelete_d.test_non_itemize_strides_1_row ... ok
test_decomp_update.TestQRdelete_d.test_non_itemize_strides_p_col ... ok
test_decomp_update.TestQRdelete_d.test_non_itemize_strides_p_row ... ok
test_decomp_update.TestQRdelete_d.test_non_native_byte_order_1_col ... ok
test_decomp_update.TestQRdelete_d.test_non_native_byte_order_1_row ... ok
test_decomp_update.TestQRdelete_d.test_non_native_byte_order_p_col ... ok
test_decomp_update.TestQRdelete_d.test_non_native_byte_order_p_row ... ok
test_decomp_update.TestQRdelete_d.test_non_unit_strides_1_col ... ok
test_decomp_update.TestQRdelete_d.test_non_unit_strides_1_row ... ok
test_decomp_update.TestQRdelete_d.test_non_unit_strides_p_col ... ok
test_decomp_update.TestQRdelete_d.test_non_unit_strides_p_row ... ok
test_decomp_update.TestQRdelete_d.test_overwrite_economic_qr_1_row ... ok
test_decomp_update.TestQRdelete_d.test_overwrite_economic_qr_p_row ... ok
test_decomp_update.TestQRdelete_d.test_overwrite_qr_1_col ... ok
test_decomp_update.TestQRdelete_d.test_overwrite_qr_1_row ... ok
test_decomp_update.TestQRdelete_d.test_overwrite_qr_p_col ... ok
test_decomp_update.TestQRdelete_d.test_overwrite_qr_p_row ... ok
test_decomp_update.TestQRdelete_d.test_qr_scalar ... ok
test_decomp_update.TestQRdelete_d.test_sqr_1_col ... ok
test_decomp_update.TestQRdelete_d.test_sqr_1_row ... ok
test_decomp_update.TestQRdelete_d.test_sqr_p_col ... ok
test_decomp_update.TestQRdelete_d.test_sqr_p_row ... ok
test_decomp_update.TestQRdelete_d.test_tall_1_col ... ok
test_decomp_update.TestQRdelete_d.test_tall_1_row ... ok
test_decomp_update.TestQRdelete_d.test_tall_p_col ... ok
test_decomp_update.TestQRdelete_d.test_tall_p_row ... ok
test_decomp_update.TestQRdelete_d.test_unsupported_dtypes ... ok
test_decomp_update.TestQRdelete_f.test_1xN_1_col ... ok
test_decomp_update.TestQRdelete_f.test_1xN_p_col ... ok
test_decomp_update.TestQRdelete_f.test_Mx1_1_row ... ok
test_decomp_update.TestQRdelete_f.test_Mx1_economic_1_row ... ok
test_decomp_update.TestQRdelete_f.test_Mx1_economic_p_row ... ok
test_decomp_update.TestQRdelete_f.test_Mx1_p_row ... ok
test_decomp_update.TestQRdelete_f.test_bad_k ... ok
test_decomp_update.TestQRdelete_f.test_bad_p ... ok
test_decomp_update.TestQRdelete_f.test_bad_which ... ok
test_decomp_update.TestQRdelete_f.test_check_finite ... ok
test_decomp_update.TestQRdelete_f.test_delete_1x1_row_col ... ok
test_decomp_update.TestQRdelete_f.test_delete_last_1_col ... ok
test_decomp_update.TestQRdelete_f.test_delete_last_1_row ... ok
test_decomp_update.TestQRdelete_f.test_delete_last_p_col ... ok
test_decomp_update.TestQRdelete_f.test_delete_last_p_row ... ok
test_decomp_update.TestQRdelete_f.test_economic_1_col ... ok
test_decomp_update.TestQRdelete_f.test_economic_1_row ... ok
test_decomp_update.TestQRdelete_f.test_economic_p_col ... ok
test_decomp_update.TestQRdelete_f.test_economic_p_row_economic ... ok
test_decomp_update.TestQRdelete_f.test_economic_p_row_fat ... ok
test_decomp_update.TestQRdelete_f.test_economic_p_row_sqr ... ok
test_decomp_update.TestQRdelete_f.test_empty_q ... ok
test_decomp_update.TestQRdelete_f.test_empty_r ... ok
test_decomp_update.TestQRdelete_f.test_fat_1_col ... ok
test_decomp_update.TestQRdelete_f.test_fat_1_row ... ok
test_decomp_update.TestQRdelete_f.test_fat_p_col ... ok
test_decomp_update.TestQRdelete_f.test_fat_p_row ... ok
test_decomp_update.TestQRdelete_f.test_mismatched_q_and_r ... ok
test_decomp_update.TestQRdelete_f.test_neg_k ... ok
test_decomp_update.TestQRdelete_f.test_neg_strides_1_col ... ok
test_decomp_update.TestQRdelete_f.test_neg_strides_1_row ... ok
test_decomp_update.TestQRdelete_f.test_neg_strides_p_col ... ok
test_decomp_update.TestQRdelete_f.test_neg_strides_p_row ... ok
test_decomp_update.TestQRdelete_f.test_non_itemize_strides_1_col ... ok
test_decomp_update.TestQRdelete_f.test_non_itemize_strides_1_row ... ok
test_decomp_update.TestQRdelete_f.test_non_itemize_strides_p_col ... ok
test_decomp_update.TestQRdelete_f.test_non_itemize_strides_p_row ... ok
test_decomp_update.TestQRdelete_f.test_non_native_byte_order_1_col ... ok
test_decomp_update.TestQRdelete_f.test_non_native_byte_order_1_row ... ok
test_decomp_update.TestQRdelete_f.test_non_native_byte_order_p_col ... ok
test_decomp_update.TestQRdelete_f.test_non_native_byte_order_p_row ... ok
test_decomp_update.TestQRdelete_f.test_non_unit_strides_1_col ... ok
test_decomp_update.TestQRdelete_f.test_non_unit_strides_1_row ... ok
test_decomp_update.TestQRdelete_f.test_non_unit_strides_p_col ... ok
test_decomp_update.TestQRdelete_f.test_non_unit_strides_p_row ... ok
test_decomp_update.TestQRdelete_f.test_overwrite_economic_qr_1_row ... ok
test_decomp_update.TestQRdelete_f.test_overwrite_economic_qr_p_row ... ok
test_decomp_update.TestQRdelete_f.test_overwrite_qr_1_col ... ok
test_decomp_update.TestQRdelete_f.test_overwrite_qr_1_row ... ok
test_decomp_update.TestQRdelete_f.test_overwrite_qr_p_col ... ok
test_decomp_update.TestQRdelete_f.test_overwrite_qr_p_row ... ok
test_decomp_update.TestQRdelete_f.test_qr_scalar ... ok
test_decomp_update.TestQRdelete_f.test_sqr_1_col ... ok
test_decomp_update.TestQRdelete_f.test_sqr_1_row ... ok
test_decomp_update.TestQRdelete_f.test_sqr_p_col ... ok
test_decomp_update.TestQRdelete_f.test_sqr_p_row ... ok
test_decomp_update.TestQRdelete_f.test_tall_1_col ... ok
test_decomp_update.TestQRdelete_f.test_tall_1_row ... ok
test_decomp_update.TestQRdelete_f.test_tall_p_col ... ok
test_decomp_update.TestQRdelete_f.test_tall_p_row ... ok
test_decomp_update.TestQRdelete_f.test_unsupported_dtypes ... ok
test_decomp_update.TestQRinsert_D.test_1x1_1_col ... ok
test_decomp_update.TestQRinsert_D.test_1x1_1_row ... ok
test_decomp_update.TestQRinsert_D.test_1x1_1_scalar ... ok
test_decomp_update.TestQRinsert_D.test_1x1_p_col ... ok
test_decomp_update.TestQRinsert_D.test_1x1_p_row ... ok
test_decomp_update.TestQRinsert_D.test_1xN_1_col ... ok
test_decomp_update.TestQRinsert_D.test_1xN_1_row ... ok
test_decomp_update.TestQRinsert_D.test_1xN_p_col ... ok
test_decomp_update.TestQRinsert_D.test_1xN_p_row ... ok
test_decomp_update.TestQRinsert_D.test_Mx1_1_col ... ok
test_decomp_update.TestQRinsert_D.test_Mx1_1_row ... ok
test_decomp_update.TestQRinsert_D.test_Mx1_economic_1_col ... ok
test_decomp_update.TestQRinsert_D.test_Mx1_economic_1_row ... ok
test_decomp_update.TestQRinsert_D.test_Mx1_economic_p_col ... ok
test_decomp_update.TestQRinsert_D.test_Mx1_economic_p_row ... ok
test_decomp_update.TestQRinsert_D.test_Mx1_p_col ... ok
test_decomp_update.TestQRinsert_D.test_Mx1_p_row ... ok
test_decomp_update.TestQRinsert_D.test_check_finite ... ok
test_decomp_update.TestQRinsert_D.test_economic_1_col ... ok
test_decomp_update.TestQRinsert_D.test_economic_1_col_bad_update ... ok
test_decomp_update.TestQRinsert_D.test_economic_1_row ... ok
test_decomp_update.TestQRinsert_D.test_economic_p_col_eco ... ok
test_decomp_update.TestQRinsert_D.test_economic_p_col_fat ... ok
test_decomp_update.TestQRinsert_D.test_economic_p_col_sqr ... ok
test_decomp_update.TestQRinsert_D.test_economic_p_row ... ok
test_decomp_update.TestQRinsert_D.test_empty_inputs ... ok
test_decomp_update.TestQRinsert_D.test_fat_1_col ... ok
test_decomp_update.TestQRinsert_D.test_fat_1_row ... ok
test_decomp_update.TestQRinsert_D.test_fat_p_col ... ok
test_decomp_update.TestQRinsert_D.test_fat_p_row_fat ... ok
test_decomp_update.TestQRinsert_D.test_fat_p_row_sqr ... ok
test_decomp_update.TestQRinsert_D.test_fat_p_row_tall ... ok
test_decomp_update.TestQRinsert_D.test_mismatched_shapes ... ok
test_decomp_update.TestQRinsert_D.test_neg_strides_1_col ... ok
test_decomp_update.TestQRinsert_D.test_neg_strides_1_row ... ok
test_decomp_update.TestQRinsert_D.test_neg_strides_p_col ... ok
test_decomp_update.TestQRinsert_D.test_neg_strides_p_row ... ok
test_decomp_update.TestQRinsert_D.test_non_itemsize_strides_1_col ... ok
test_decomp_update.TestQRinsert_D.test_non_itemsize_strides_1_row ... ok
test_decomp_update.TestQRinsert_D.test_non_itemsize_strides_p_col ... ok
test_decomp_update.TestQRinsert_D.test_non_itemsize_strides_p_row ... ok
test_decomp_update.TestQRinsert_D.test_non_native_byte_order_1_col ... ok
test_decomp_update.TestQRinsert_D.test_non_native_byte_order_1_row ... ok
test_decomp_update.TestQRinsert_D.test_non_native_byte_order_p_col ... ok
test_decomp_update.TestQRinsert_D.test_non_native_byte_order_p_row ... ok
test_decomp_update.TestQRinsert_D.test_non_unit_strides_1_col ... ok
test_decomp_update.TestQRinsert_D.test_non_unit_strides_1_row ... ok
test_decomp_update.TestQRinsert_D.test_non_unit_strides_p_col ... ok
test_decomp_update.TestQRinsert_D.test_non_unit_strides_p_row ... ok
test_decomp_update.TestQRinsert_D.test_overwrite_qu_rank_1 ... ok
test_decomp_update.TestQRinsert_D.test_overwrite_qu_rank_p ... ok
test_decomp_update.TestQRinsert_D.test_sqr_1_col ... ok
test_decomp_update.TestQRinsert_D.test_sqr_1_row ... ok
test_decomp_update.TestQRinsert_D.test_sqr_p_col ... ok
test_decomp_update.TestQRinsert_D.test_sqr_p_row ... ok
test_decomp_update.TestQRinsert_D.test_tall_1_col ... ok
test_decomp_update.TestQRinsert_D.test_tall_1_row ... ok
test_decomp_update.TestQRinsert_D.test_tall_p_col_fat ... ok
test_decomp_update.TestQRinsert_D.test_tall_p_col_sqr ... ok
test_decomp_update.TestQRinsert_D.test_tall_p_col_tall ... ok
test_decomp_update.TestQRinsert_D.test_tall_p_row ... ok
test_decomp_update.TestQRinsert_D.test_unsupported_dtypes ... ok
test_decomp_update.TestQRinsert_F.test_1x1_1_col ... ok
test_decomp_update.TestQRinsert_F.test_1x1_1_row ... ok
test_decomp_update.TestQRinsert_F.test_1x1_1_scalar ... ok
test_decomp_update.TestQRinsert_F.test_1x1_p_col ... ok
test_decomp_update.TestQRinsert_F.test_1x1_p_row ... ok
test_decomp_update.TestQRinsert_F.test_1xN_1_col ... ok
test_decomp_update.TestQRinsert_F.test_1xN_1_row ... ok
test_decomp_update.TestQRinsert_F.test_1xN_p_col ... ok
test_decomp_update.TestQRinsert_F.test_1xN_p_row ... ok
test_decomp_update.TestQRinsert_F.test_Mx1_1_col ... ok
test_decomp_update.TestQRinsert_F.test_Mx1_1_row ... ok
test_decomp_update.TestQRinsert_F.test_Mx1_economic_1_col ... ok
test_decomp_update.TestQRinsert_F.test_Mx1_economic_1_row ... ok
test_decomp_update.TestQRinsert_F.test_Mx1_economic_p_col ... ok
test_decomp_update.TestQRinsert_F.test_Mx1_economic_p_row ... ok
test_decomp_update.TestQRinsert_F.test_Mx1_p_col ... ok
test_decomp_update.TestQRinsert_F.test_Mx1_p_row ... ok
test_decomp_update.TestQRinsert_F.test_check_finite ... ok
test_decomp_update.TestQRinsert_F.test_economic_1_col ... ok
test_decomp_update.TestQRinsert_F.test_economic_1_col_bad_update ... ok
test_decomp_update.TestQRinsert_F.test_economic_1_row ... ok
test_decomp_update.TestQRinsert_F.test_economic_p_col_eco ... ok
test_decomp_update.TestQRinsert_F.test_economic_p_col_fat ... ok
test_decomp_update.TestQRinsert_F.test_economic_p_col_sqr ... ok
test_decomp_update.TestQRinsert_F.test_economic_p_row ... ok
test_decomp_update.TestQRinsert_F.test_empty_inputs ... ok
test_decomp_update.TestQRinsert_F.test_fat_1_col ... ok
test_decomp_update.TestQRinsert_F.test_fat_1_row ... ok
test_decomp_update.TestQRinsert_F.test_fat_p_col ... ok
test_decomp_update.TestQRinsert_F.test_fat_p_row_fat ... ok
test_decomp_update.TestQRinsert_F.test_fat_p_row_sqr ... ok
test_decomp_update.TestQRinsert_F.test_fat_p_row_tall ... ok
test_decomp_update.TestQRinsert_F.test_mismatched_shapes ... ok
test_decomp_update.TestQRinsert_F.test_neg_strides_1_col ... ok
test_decomp_update.TestQRinsert_F.test_neg_strides_1_row ... ok
test_decomp_update.TestQRinsert_F.test_neg_strides_p_col ... ok
test_decomp_update.TestQRinsert_F.test_neg_strides_p_row ... ok
test_decomp_update.TestQRinsert_F.test_non_itemsize_strides_1_col ... ok
test_decomp_update.TestQRinsert_F.test_non_itemsize_strides_1_row ... ok
test_decomp_update.TestQRinsert_F.test_non_itemsize_strides_p_col ... ok
test_decomp_update.TestQRinsert_F.test_non_itemsize_strides_p_row ... ok
test_decomp_update.TestQRinsert_F.test_non_native_byte_order_1_col ... ok
test_decomp_update.TestQRinsert_F.test_non_native_byte_order_1_row ... ok
test_decomp_update.TestQRinsert_F.test_non_native_byte_order_p_col ... ok
test_decomp_update.TestQRinsert_F.test_non_native_byte_order_p_row ... ok
test_decomp_update.TestQRinsert_F.test_non_unit_strides_1_col ... ok
test_decomp_update.TestQRinsert_F.test_non_unit_strides_1_row ... ok
test_decomp_update.TestQRinsert_F.test_non_unit_strides_p_col ... ok
test_decomp_update.TestQRinsert_F.test_non_unit_strides_p_row ... ok
test_decomp_update.TestQRinsert_F.test_overwrite_qu_rank_1 ... ok
test_decomp_update.TestQRinsert_F.test_overwrite_qu_rank_p ... ok
test_decomp_update.TestQRinsert_F.test_sqr_1_col ... ok
test_decomp_update.TestQRinsert_F.test_sqr_1_row ... ok
test_decomp_update.TestQRinsert_F.test_sqr_p_col ... ok
test_decomp_update.TestQRinsert_F.test_sqr_p_row ... ok
test_decomp_update.TestQRinsert_F.test_tall_1_col ... ok
test_decomp_update.TestQRinsert_F.test_tall_1_row ... ok
test_decomp_update.TestQRinsert_F.test_tall_p_col_fat ... ok
test_decomp_update.TestQRinsert_F.test_tall_p_col_sqr ... ok
test_decomp_update.TestQRinsert_F.test_tall_p_col_tall ... ok
test_decomp_update.TestQRinsert_F.test_tall_p_row ... ok
test_decomp_update.TestQRinsert_F.test_unsupported_dtypes ... ok
test_decomp_update.TestQRinsert_d.test_1x1_1_col ... ok
test_decomp_update.TestQRinsert_d.test_1x1_1_row ... ok
test_decomp_update.TestQRinsert_d.test_1x1_1_scalar ... ok
test_decomp_update.TestQRinsert_d.test_1x1_p_col ... ok
test_decomp_update.TestQRinsert_d.test_1x1_p_row ... ok
test_decomp_update.TestQRinsert_d.test_1xN_1_col ... ok
test_decomp_update.TestQRinsert_d.test_1xN_1_row ... ok
test_decomp_update.TestQRinsert_d.test_1xN_p_col ... ok
test_decomp_update.TestQRinsert_d.test_1xN_p_row ... ok
test_decomp_update.TestQRinsert_d.test_Mx1_1_col ... ok
test_decomp_update.TestQRinsert_d.test_Mx1_1_row ... ok
test_decomp_update.TestQRinsert_d.test_Mx1_economic_1_col ... ok
test_decomp_update.TestQRinsert_d.test_Mx1_economic_1_row ... ok
test_decomp_update.TestQRinsert_d.test_Mx1_economic_p_col ... ok
test_decomp_update.TestQRinsert_d.test_Mx1_economic_p_row ... ok
test_decomp_update.TestQRinsert_d.test_Mx1_p_col ... ok
test_decomp_update.TestQRinsert_d.test_Mx1_p_row ... ok
test_decomp_update.TestQRinsert_d.test_check_finite ... ok
test_decomp_update.TestQRinsert_d.test_economic_1_col ... ok
test_decomp_update.TestQRinsert_d.test_economic_1_col_bad_update ... ok
test_decomp_update.TestQRinsert_d.test_economic_1_row ... ok
test_decomp_update.TestQRinsert_d.test_economic_p_col_eco ... ok
test_decomp_update.TestQRinsert_d.test_economic_p_col_fat ... ok
test_decomp_update.TestQRinsert_d.test_economic_p_col_sqr ... ok
test_decomp_update.TestQRinsert_d.test_economic_p_row ... ok
test_decomp_update.TestQRinsert_d.test_empty_inputs ... ok
test_decomp_update.TestQRinsert_d.test_fat_1_col ... ok
test_decomp_update.TestQRinsert_d.test_fat_1_row ... ok
test_decomp_update.TestQRinsert_d.test_fat_p_col ... ok
test_decomp_update.TestQRinsert_d.test_fat_p_row_fat ... ok
test_decomp_update.TestQRinsert_d.test_fat_p_row_sqr ... ok
test_decomp_update.TestQRinsert_d.test_fat_p_row_tall ... ok
test_decomp_update.TestQRinsert_d.test_mismatched_shapes ... ok
test_decomp_update.TestQRinsert_d.test_neg_strides_1_col ... ok
test_decomp_update.TestQRinsert_d.test_neg_strides_1_row ... ok
test_decomp_update.TestQRinsert_d.test_neg_strides_p_col ... ok
test_decomp_update.TestQRinsert_d.test_neg_strides_p_row ... ok
test_decomp_update.TestQRinsert_d.test_non_itemsize_strides_1_col ... ok
test_decomp_update.TestQRinsert_d.test_non_itemsize_strides_1_row ... ok
test_decomp_update.TestQRinsert_d.test_non_itemsize_strides_p_col ... ok
test_decomp_update.TestQRinsert_d.test_non_itemsize_strides_p_row ... ok
test_decomp_update.TestQRinsert_d.test_non_native_byte_order_1_col ... ok
test_decomp_update.TestQRinsert_d.test_non_native_byte_order_1_row ... ok
test_decomp_update.TestQRinsert_d.test_non_native_byte_order_p_col ... ok
test_decomp_update.TestQRinsert_d.test_non_native_byte_order_p_row ... ok
test_decomp_update.TestQRinsert_d.test_non_unit_strides_1_col ... ok
test_decomp_update.TestQRinsert_d.test_non_unit_strides_1_row ... ok
test_decomp_update.TestQRinsert_d.test_non_unit_strides_p_col ... ok
test_decomp_update.TestQRinsert_d.test_non_unit_strides_p_row ... ok
test_decomp_update.TestQRinsert_d.test_overwrite_qu_rank_1 ... ok
test_decomp_update.TestQRinsert_d.test_overwrite_qu_rank_p ... ok
test_decomp_update.TestQRinsert_d.test_sqr_1_col ... ok
test_decomp_update.TestQRinsert_d.test_sqr_1_row ... ok
test_decomp_update.TestQRinsert_d.test_sqr_p_col ... ok
test_decomp_update.TestQRinsert_d.test_sqr_p_row ... ok
test_decomp_update.TestQRinsert_d.test_tall_1_col ... ok
test_decomp_update.TestQRinsert_d.test_tall_1_row ... ok
test_decomp_update.TestQRinsert_d.test_tall_p_col_fat ... ok
test_decomp_update.TestQRinsert_d.test_tall_p_col_sqr ... ok
test_decomp_update.TestQRinsert_d.test_tall_p_col_tall ... ok
test_decomp_update.TestQRinsert_d.test_tall_p_row ... ok
test_decomp_update.TestQRinsert_d.test_unsupported_dtypes ... ok
test_decomp_update.TestQRinsert_f.test_1x1_1_col ... ok
test_decomp_update.TestQRinsert_f.test_1x1_1_row ... ok
test_decomp_update.TestQRinsert_f.test_1x1_1_scalar ... ok
test_decomp_update.TestQRinsert_f.test_1x1_p_col ... ok
test_decomp_update.TestQRinsert_f.test_1x1_p_row ... ok
test_decomp_update.TestQRinsert_f.test_1xN_1_col ... ok
test_decomp_update.TestQRinsert_f.test_1xN_1_row ... ok
test_decomp_update.TestQRinsert_f.test_1xN_p_col ... ok
test_decomp_update.TestQRinsert_f.test_1xN_p_row ... ok
test_decomp_update.TestQRinsert_f.test_Mx1_1_col ... ok
test_decomp_update.TestQRinsert_f.test_Mx1_1_row ... ok
test_decomp_update.TestQRinsert_f.test_Mx1_economic_1_col ... ok
test_decomp_update.TestQRinsert_f.test_Mx1_economic_1_row ... ok
test_decomp_update.TestQRinsert_f.test_Mx1_economic_p_col ... ok
test_decomp_update.TestQRinsert_f.test_Mx1_economic_p_row ... ok
test_decomp_update.TestQRinsert_f.test_Mx1_p_col ... ok
test_decomp_update.TestQRinsert_f.test_Mx1_p_row ... ok
test_decomp_update.TestQRinsert_f.test_check_finite ... ok
test_decomp_update.TestQRinsert_f.test_economic_1_col ... ok
test_decomp_update.TestQRinsert_f.test_economic_1_col_bad_update ... ok
test_decomp_update.TestQRinsert_f.test_economic_1_row ... ok
test_decomp_update.TestQRinsert_f.test_economic_p_col_eco ... ok
test_decomp_update.TestQRinsert_f.test_economic_p_col_fat ... ok
test_decomp_update.TestQRinsert_f.test_economic_p_col_sqr ... ok
test_decomp_update.TestQRinsert_f.test_economic_p_row ... ok
test_decomp_update.TestQRinsert_f.test_empty_inputs ... ok
test_decomp_update.TestQRinsert_f.test_fat_1_col ... ok
test_decomp_update.TestQRinsert_f.test_fat_1_row ... ok
test_decomp_update.TestQRinsert_f.test_fat_p_col ... ok
test_decomp_update.TestQRinsert_f.test_fat_p_row_fat ... ok
test_decomp_update.TestQRinsert_f.test_fat_p_row_sqr ... ok
test_decomp_update.TestQRinsert_f.test_fat_p_row_tall ... ok
test_decomp_update.TestQRinsert_f.test_mismatched_shapes ... ok
test_decomp_update.TestQRinsert_f.test_neg_strides_1_col ... ok
test_decomp_update.TestQRinsert_f.test_neg_strides_1_row ... ok
test_decomp_update.TestQRinsert_f.test_neg_strides_p_col ... ok
test_decomp_update.TestQRinsert_f.test_neg_strides_p_row ... ok
test_decomp_update.TestQRinsert_f.test_non_itemsize_strides_1_col ... ok
test_decomp_update.TestQRinsert_f.test_non_itemsize_strides_1_row ... ok
test_decomp_update.TestQRinsert_f.test_non_itemsize_strides_p_col ... ok
test_decomp_update.TestQRinsert_f.test_non_itemsize_strides_p_row ... ok
test_decomp_update.TestQRinsert_f.test_non_native_byte_order_1_col ... ok
test_decomp_update.TestQRinsert_f.test_non_native_byte_order_1_row ... ok
test_decomp_update.TestQRinsert_f.test_non_native_byte_order_p_col ... ok
test_decomp_update.TestQRinsert_f.test_non_native_byte_order_p_row ... ok
test_decomp_update.TestQRinsert_f.test_non_unit_strides_1_col ... ok
test_decomp_update.TestQRinsert_f.test_non_unit_strides_1_row ... ok
test_decomp_update.TestQRinsert_f.test_non_unit_strides_p_col ... ok
test_decomp_update.TestQRinsert_f.test_non_unit_strides_p_row ... ok
test_decomp_update.TestQRinsert_f.test_overwrite_qu_rank_1 ... ok
test_decomp_update.TestQRinsert_f.test_overwrite_qu_rank_p ... ok
test_decomp_update.TestQRinsert_f.test_sqr_1_col ... ok
test_decomp_update.TestQRinsert_f.test_sqr_1_row ... ok
test_decomp_update.TestQRinsert_f.test_sqr_p_col ... ok
test_decomp_update.TestQRinsert_f.test_sqr_p_row ... ok
test_decomp_update.TestQRinsert_f.test_tall_1_col ... ok
test_decomp_update.TestQRinsert_f.test_tall_1_row ... ok
test_decomp_update.TestQRinsert_f.test_tall_p_col_fat ... ok
test_decomp_update.TestQRinsert_f.test_tall_p_col_sqr ... ok
test_decomp_update.TestQRinsert_f.test_tall_p_col_tall ... ok
test_decomp_update.TestQRinsert_f.test_tall_p_row ... ok
test_decomp_update.TestQRinsert_f.test_unsupported_dtypes ... ok
test_decomp_update.TestQRupdate_D.test_1x1_rank_1 ... ok
test_decomp_update.TestQRupdate_D.test_1x1_rank_1_scalar ... ok
test_decomp_update.TestQRupdate_D.test_1x1_rank_p ... ok
test_decomp_update.TestQRupdate_D.test_1xN_rank_1 ... ok
test_decomp_update.TestQRupdate_D.test_1xN_rank_p ... ok
test_decomp_update.TestQRupdate_D.test_Mx1_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_D.test_Mx1_economic_rank_p ... ok
test_decomp_update.TestQRupdate_D.test_Mx1_rank_1 ... ok
test_decomp_update.TestQRupdate_D.test_Mx1_rank_p ... ok
test_decomp_update.TestQRupdate_D.test_check_finite ... ok
test_decomp_update.TestQRupdate_D.test_economic_check_finite ... ok
test_decomp_update.TestQRupdate_D.test_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_D.test_economic_rank_p ... ok
test_decomp_update.TestQRupdate_D.test_empty_inputs ... ok
test_decomp_update.TestQRupdate_D.test_fat_rank_1 ... ok
test_decomp_update.TestQRupdate_D.test_fat_rank_p ... ok
test_decomp_update.TestQRupdate_D.test_integer_input ... ok
test_decomp_update.TestQRupdate_D.test_mismatched_shapes ... ok
test_decomp_update.TestQRupdate_D.test_neg_strides_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_D.test_neg_strides_economic_rank_p ... ok
test_decomp_update.TestQRupdate_D.test_neg_strides_rank_1 ... ok
test_decomp_update.TestQRupdate_D.test_neg_strides_rank_p ... ok
test_decomp_update.TestQRupdate_D.test_non_itemsize_strides_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_D.test_non_itemsize_strides_economic_rank_p ... ok
test_decomp_update.TestQRupdate_D.test_non_itemsize_strides_rank_1 ... ok
test_decomp_update.TestQRupdate_D.test_non_itemsize_strides_rank_p ... ok
test_decomp_update.TestQRupdate_D.test_non_native_byte_order_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_D.test_non_native_byte_order_economic_rank_p ... ok
test_decomp_update.TestQRupdate_D.test_non_native_byte_order_rank_1 ... ok
test_decomp_update.TestQRupdate_D.test_non_native_byte_order_rank_p ... ok
test_decomp_update.TestQRupdate_D.test_non_unit_strides_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_D.test_non_unit_strides_economic_rank_p ... ok
test_decomp_update.TestQRupdate_D.test_non_unit_strides_rank_1 ... ok
test_decomp_update.TestQRupdate_D.test_non_unit_strides_rank_p ... ok
test_decomp_update.TestQRupdate_D.test_overwrite_qruv_rank_1 ... ok
test_decomp_update.TestQRupdate_D.test_overwrite_qruv_rank_1_economic ... ok
test_decomp_update.TestQRupdate_D.test_overwrite_qruv_rank_p ... ok
test_decomp_update.TestQRupdate_D.test_sqr_rank_1 ... ok
test_decomp_update.TestQRupdate_D.test_sqr_rank_p ... ok
test_decomp_update.TestQRupdate_D.test_tall_rank_1 ... ok
test_decomp_update.TestQRupdate_D.test_tall_rank_p ... ok
test_decomp_update.TestQRupdate_D.test_unsupported_dtypes ... ok
test_decomp_update.TestQRupdate_F.test_1x1_rank_1 ... ok
test_decomp_update.TestQRupdate_F.test_1x1_rank_1_scalar ... ok
test_decomp_update.TestQRupdate_F.test_1x1_rank_p ... ok
test_decomp_update.TestQRupdate_F.test_1xN_rank_1 ... ok
test_decomp_update.TestQRupdate_F.test_1xN_rank_p ... ok
test_decomp_update.TestQRupdate_F.test_Mx1_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_F.test_Mx1_economic_rank_p ... ok
test_decomp_update.TestQRupdate_F.test_Mx1_rank_1 ... ok
test_decomp_update.TestQRupdate_F.test_Mx1_rank_p ... ok
test_decomp_update.TestQRupdate_F.test_check_finite ... ok
test_decomp_update.TestQRupdate_F.test_economic_check_finite ... ok
test_decomp_update.TestQRupdate_F.test_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_F.test_economic_rank_p ... ok
test_decomp_update.TestQRupdate_F.test_empty_inputs ... ok
test_decomp_update.TestQRupdate_F.test_fat_rank_1 ... ok
test_decomp_update.TestQRupdate_F.test_fat_rank_p ... ok
test_decomp_update.TestQRupdate_F.test_integer_input ... ok
test_decomp_update.TestQRupdate_F.test_mismatched_shapes ... ok
test_decomp_update.TestQRupdate_F.test_neg_strides_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_F.test_neg_strides_economic_rank_p ... ok
test_decomp_update.TestQRupdate_F.test_neg_strides_rank_1 ... ok
test_decomp_update.TestQRupdate_F.test_neg_strides_rank_p ... ok
test_decomp_update.TestQRupdate_F.test_non_itemsize_strides_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_F.test_non_itemsize_strides_economic_rank_p ... ok
test_decomp_update.TestQRupdate_F.test_non_itemsize_strides_rank_1 ... ok
test_decomp_update.TestQRupdate_F.test_non_itemsize_strides_rank_p ... ok
test_decomp_update.TestQRupdate_F.test_non_native_byte_order_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_F.test_non_native_byte_order_economic_rank_p ... ok
test_decomp_update.TestQRupdate_F.test_non_native_byte_order_rank_1 ... ok
test_decomp_update.TestQRupdate_F.test_non_native_byte_order_rank_p ... ok
test_decomp_update.TestQRupdate_F.test_non_unit_strides_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_F.test_non_unit_strides_economic_rank_p ... ok
test_decomp_update.TestQRupdate_F.test_non_unit_strides_rank_1 ... ok
test_decomp_update.TestQRupdate_F.test_non_unit_strides_rank_p ... ok
test_decomp_update.TestQRupdate_F.test_overwrite_qruv_rank_1 ... ok
test_decomp_update.TestQRupdate_F.test_overwrite_qruv_rank_1_economic ... ok
test_decomp_update.TestQRupdate_F.test_overwrite_qruv_rank_p ... ok
test_decomp_update.TestQRupdate_F.test_sqr_rank_1 ... ok
test_decomp_update.TestQRupdate_F.test_sqr_rank_p ... ok
test_decomp_update.TestQRupdate_F.test_tall_rank_1 ... ok
test_decomp_update.TestQRupdate_F.test_tall_rank_p ... ok
test_decomp_update.TestQRupdate_F.test_unsupported_dtypes ... ok
test_decomp_update.TestQRupdate_d.test_1x1_rank_1 ... ok
test_decomp_update.TestQRupdate_d.test_1x1_rank_1_scalar ... ok
test_decomp_update.TestQRupdate_d.test_1x1_rank_p ... ok
test_decomp_update.TestQRupdate_d.test_1xN_rank_1 ... ok
test_decomp_update.TestQRupdate_d.test_1xN_rank_p ... ok
test_decomp_update.TestQRupdate_d.test_Mx1_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_d.test_Mx1_economic_rank_p ... ok
test_decomp_update.TestQRupdate_d.test_Mx1_rank_1 ... ok
test_decomp_update.TestQRupdate_d.test_Mx1_rank_p ... ok
test_decomp_update.TestQRupdate_d.test_check_finite ... ok
test_decomp_update.TestQRupdate_d.test_economic_check_finite ... ok
test_decomp_update.TestQRupdate_d.test_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_d.test_economic_rank_p ... ok
test_decomp_update.TestQRupdate_d.test_empty_inputs ... ok
test_decomp_update.TestQRupdate_d.test_fat_rank_1 ... ok
test_decomp_update.TestQRupdate_d.test_fat_rank_p ... ok
test_decomp_update.TestQRupdate_d.test_integer_input ... ok
test_decomp_update.TestQRupdate_d.test_mismatched_shapes ... ok
test_decomp_update.TestQRupdate_d.test_neg_strides_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_d.test_neg_strides_economic_rank_p ... ok
test_decomp_update.TestQRupdate_d.test_neg_strides_rank_1 ... ok
test_decomp_update.TestQRupdate_d.test_neg_strides_rank_p ... ok
test_decomp_update.TestQRupdate_d.test_non_itemsize_strides_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_d.test_non_itemsize_strides_economic_rank_p ... ok
test_decomp_update.TestQRupdate_d.test_non_itemsize_strides_rank_1 ... ok
test_decomp_update.TestQRupdate_d.test_non_itemsize_strides_rank_p ... ok
test_decomp_update.TestQRupdate_d.test_non_native_byte_order_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_d.test_non_native_byte_order_economic_rank_p ... ok
test_decomp_update.TestQRupdate_d.test_non_native_byte_order_rank_1 ... ok
test_decomp_update.TestQRupdate_d.test_non_native_byte_order_rank_p ... ok
test_decomp_update.TestQRupdate_d.test_non_unit_strides_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_d.test_non_unit_strides_economic_rank_p ... ok
test_decomp_update.TestQRupdate_d.test_non_unit_strides_rank_1 ... ok
test_decomp_update.TestQRupdate_d.test_non_unit_strides_rank_p ... ok
test_decomp_update.TestQRupdate_d.test_overwrite_qruv_rank_1 ... ok
test_decomp_update.TestQRupdate_d.test_overwrite_qruv_rank_1_economic ... ok
test_decomp_update.TestQRupdate_d.test_overwrite_qruv_rank_p ... ok
test_decomp_update.TestQRupdate_d.test_sqr_rank_1 ... ok
test_decomp_update.TestQRupdate_d.test_sqr_rank_p ... ok
test_decomp_update.TestQRupdate_d.test_tall_rank_1 ... ok
test_decomp_update.TestQRupdate_d.test_tall_rank_p ... ok
test_decomp_update.TestQRupdate_d.test_unsupported_dtypes ... ok
test_decomp_update.TestQRupdate_f.test_1x1_rank_1 ... ok
test_decomp_update.TestQRupdate_f.test_1x1_rank_1_scalar ... ok
test_decomp_update.TestQRupdate_f.test_1x1_rank_p ... ok
test_decomp_update.TestQRupdate_f.test_1xN_rank_1 ... ok
test_decomp_update.TestQRupdate_f.test_1xN_rank_p ... ok
test_decomp_update.TestQRupdate_f.test_Mx1_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_f.test_Mx1_economic_rank_p ... ok
test_decomp_update.TestQRupdate_f.test_Mx1_rank_1 ... ok
test_decomp_update.TestQRupdate_f.test_Mx1_rank_p ... ok
test_decomp_update.TestQRupdate_f.test_check_finite ... ok
test_decomp_update.TestQRupdate_f.test_economic_check_finite ... ok
test_decomp_update.TestQRupdate_f.test_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_f.test_economic_rank_p ... ok
test_decomp_update.TestQRupdate_f.test_empty_inputs ... ok
test_decomp_update.TestQRupdate_f.test_fat_rank_1 ... ok
test_decomp_update.TestQRupdate_f.test_fat_rank_p ... ok
test_decomp_update.TestQRupdate_f.test_integer_input ... ok
test_decomp_update.TestQRupdate_f.test_mismatched_shapes ... ok
test_decomp_update.TestQRupdate_f.test_neg_strides_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_f.test_neg_strides_economic_rank_p ... ok
test_decomp_update.TestQRupdate_f.test_neg_strides_rank_1 ... ok
test_decomp_update.TestQRupdate_f.test_neg_strides_rank_p ... ok
test_decomp_update.TestQRupdate_f.test_non_itemsize_strides_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_f.test_non_itemsize_strides_economic_rank_p ... ok
test_decomp_update.TestQRupdate_f.test_non_itemsize_strides_rank_1 ... ok
test_decomp_update.TestQRupdate_f.test_non_itemsize_strides_rank_p ... ok
test_decomp_update.TestQRupdate_f.test_non_native_byte_order_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_f.test_non_native_byte_order_economic_rank_p ... ok
test_decomp_update.TestQRupdate_f.test_non_native_byte_order_rank_1 ... ok
test_decomp_update.TestQRupdate_f.test_non_native_byte_order_rank_p ... ok
test_decomp_update.TestQRupdate_f.test_non_unit_strides_economic_rank_1 ... ok
test_decomp_update.TestQRupdate_f.test_non_unit_strides_economic_rank_p ... ok
test_decomp_update.TestQRupdate_f.test_non_unit_strides_rank_1 ... ok
test_decomp_update.TestQRupdate_f.test_non_unit_strides_rank_p ... ok
test_decomp_update.TestQRupdate_f.test_overwrite_qruv_rank_1 ... ok
test_decomp_update.TestQRupdate_f.test_overwrite_qruv_rank_1_economic ... ok
test_decomp_update.TestQRupdate_f.test_overwrite_qruv_rank_p ... ok
test_decomp_update.TestQRupdate_f.test_sqr_rank_1 ... ok
test_decomp_update.TestQRupdate_f.test_sqr_rank_p ... ok
test_decomp_update.TestQRupdate_f.test_tall_rank_1 ... ok
test_decomp_update.TestQRupdate_f.test_tall_rank_p ... ok
test_decomp_update.TestQRupdate_f.test_unsupported_dtypes ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'F', 1, 1, 'f') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'F', 1, 2, 'f') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'F', 1, 1, 'd') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'F', 1, 2, 'd') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'F', 1, 1, 'F') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'F', 1, 2, 'F') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'F', 1, 1, 'D') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'F', 1, 2, 'D') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'F', 3, 2, 'f') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'F', 3, 2, 'd') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'F', 3, 2, 'F') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'F', 3, 2, 'D') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'C', 1, 1, 'f') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'C', 1, 2, 'f') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'C', 1, 1, 'd') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'C', 1, 2, 'd') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'C', 1, 1, 'F') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'C', 1, 2, 'F') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'C', 1, 1, 'D') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'C', 1, 2, 'D') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'C', 3, 2, 'f') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'C', 3, 2, 'd') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'C', 3, 2, 'F') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'C', 3, 2, 'D') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'A', 1, 1, 'f') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'A', 1, 2, 'f') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'A', 1, 1, 'd') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'A', 1, 2, 'd') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'A', 1, 1, 'F') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'A', 1, 2, 'F') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'A', 1, 1, 'D') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'A', 1, 2, 'D') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'A', 3, 2, 'f') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'A', 3, 2, 'd') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'A', 3, 2, 'F') ... ok
test_decomp_update.test_form_qTu('F', (8, 8), 'A', 3, 2, 'D') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'F', 1, 1, 'f') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'F', 1, 2, 'f') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'F', 1, 1, 'd') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'F', 1, 2, 'd') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'F', 1, 1, 'F') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'F', 1, 2, 'F') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'F', 1, 1, 'D') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'F', 1, 2, 'D') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'F', 3, 2, 'f') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'F', 3, 2, 'd') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'F', 3, 2, 'F') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'F', 3, 2, 'D') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'C', 1, 1, 'f') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'C', 1, 2, 'f') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'C', 1, 1, 'd') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'C', 1, 2, 'd') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'C', 1, 1, 'F') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'C', 1, 2, 'F') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'C', 1, 1, 'D') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'C', 1, 2, 'D') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'C', 3, 2, 'f') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'C', 3, 2, 'd') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'C', 3, 2, 'F') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'C', 3, 2, 'D') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'A', 1, 1, 'f') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'A', 1, 2, 'f') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'A', 1, 1, 'd') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'A', 1, 2, 'd') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'A', 1, 1, 'F') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'A', 1, 2, 'F') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'A', 1, 1, 'D') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'A', 1, 2, 'D') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'A', 3, 2, 'f') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'A', 3, 2, 'd') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'A', 3, 2, 'F') ... ok
test_decomp_update.test_form_qTu('C', (8, 8), 'A', 3, 2, 'D') ... ok
test_default_a (test_fblas.TestCaxpy) ... ok
test_simple (test_fblas.TestCaxpy) ... ok
test_x_and_y_stride (test_fblas.TestCaxpy) ... ok
test_x_bad_size (test_fblas.TestCaxpy) ... ok
test_x_stride (test_fblas.TestCaxpy) ... ok
test_y_bad_size (test_fblas.TestCaxpy) ... ok
test_y_stride (test_fblas.TestCaxpy) ... ok
test_simple (test_fblas.TestCcopy) ... ok
test_x_and_y_stride (test_fblas.TestCcopy) ... ok
test_x_bad_size (test_fblas.TestCcopy) ... ok
test_x_stride (test_fblas.TestCcopy) ... ok
test_y_bad_size (test_fblas.TestCcopy) ... ok
test_y_stride (test_fblas.TestCcopy) ... ok
test_default_beta_y (test_fblas.TestCgemv) ... ok
test_simple (test_fblas.TestCgemv) ... ok
test_simple_transpose (test_fblas.TestCgemv) ... ok
test_simple_transpose_conj (test_fblas.TestCgemv) ... ok
test_x_stride (test_fblas.TestCgemv) ... ok
test_x_stride_assert (test_fblas.TestCgemv) ... ok
test_x_stride_transpose (test_fblas.TestCgemv) ... ok
test_y_stride (test_fblas.TestCgemv) ... ok
test_y_stride_assert (test_fblas.TestCgemv) ... ok
test_y_stride_transpose (test_fblas.TestCgemv) ... ok
test_simple (test_fblas.TestCscal) ... ok
test_x_bad_size (test_fblas.TestCscal) ... ok
test_x_stride (test_fblas.TestCscal) ... ok
test_simple (test_fblas.TestCswap) ... ok
test_x_and_y_stride (test_fblas.TestCswap) ... ok
test_x_bad_size (test_fblas.TestCswap) ... ok
test_x_stride (test_fblas.TestCswap) ... ok
test_y_bad_size (test_fblas.TestCswap) ... ok
test_y_stride (test_fblas.TestCswap) ... ok
test_default_a (test_fblas.TestDaxpy) ... ok
test_simple (test_fblas.TestDaxpy) ... ok
test_x_and_y_stride (test_fblas.TestDaxpy) ... ok
test_x_bad_size (test_fblas.TestDaxpy) ... ok
test_x_stride (test_fblas.TestDaxpy) ... ok
test_y_bad_size (test_fblas.TestDaxpy) ... ok
test_y_stride (test_fblas.TestDaxpy) ... ok
test_simple (test_fblas.TestDcopy) ... ok
test_x_and_y_stride (test_fblas.TestDcopy) ... ok
test_x_bad_size (test_fblas.TestDcopy) ... ok
test_x_stride (test_fblas.TestDcopy) ... ok
test_y_bad_size (test_fblas.TestDcopy) ... ok
test_y_stride (test_fblas.TestDcopy) ... ok
test_default_beta_y (test_fblas.TestDgemv) ... ok
test_simple (test_fblas.TestDgemv) ... ok
test_simple_transpose (test_fblas.TestDgemv) ... ok
test_simple_transpose_conj (test_fblas.TestDgemv) ... ok
test_x_stride (test_fblas.TestDgemv) ... ok
test_x_stride_assert (test_fblas.TestDgemv) ... ok
test_x_stride_transpose (test_fblas.TestDgemv) ... ok
test_y_stride (test_fblas.TestDgemv) ... ok
test_y_stride_assert (test_fblas.TestDgemv) ... ok
test_y_stride_transpose (test_fblas.TestDgemv) ... ok
test_simple (test_fblas.TestDscal) ... ok
test_x_bad_size (test_fblas.TestDscal) ... ok
test_x_stride (test_fblas.TestDscal) ... ok
test_simple (test_fblas.TestDswap) ... ok
test_x_and_y_stride (test_fblas.TestDswap) ... ok
test_x_bad_size (test_fblas.TestDswap) ... ok
test_x_stride (test_fblas.TestDswap) ... ok
test_y_bad_size (test_fblas.TestDswap) ... ok
test_y_stride (test_fblas.TestDswap) ... ok
test_default_a (test_fblas.TestSaxpy) ... ok
test_simple (test_fblas.TestSaxpy) ... ok
test_x_and_y_stride (test_fblas.TestSaxpy) ... ok
test_x_bad_size (test_fblas.TestSaxpy) ... ok
test_x_stride (test_fblas.TestSaxpy) ... ok
test_y_bad_size (test_fblas.TestSaxpy) ... ok
test_y_stride (test_fblas.TestSaxpy) ... ok
test_simple (test_fblas.TestScopy) ... ok
test_x_and_y_stride (test_fblas.TestScopy) ... ok
test_x_bad_size (test_fblas.TestScopy) ... ok
test_x_stride (test_fblas.TestScopy) ... ok
test_y_bad_size (test_fblas.TestScopy) ... ok
test_y_stride (test_fblas.TestScopy) ... ok
test_default_beta_y (test_fblas.TestSgemv) ... ok
test_sgemv_on_osx (test_fblas.TestSgemv) ... ok
test_simple (test_fblas.TestSgemv) ... ok
test_simple_transpose (test_fblas.TestSgemv) ... ok
test_simple_transpose_conj (test_fblas.TestSgemv) ... ok
test_x_stride (test_fblas.TestSgemv) ... ok
test_x_stride_assert (test_fblas.TestSgemv) ... ok
test_x_stride_transpose (test_fblas.TestSgemv) ... ok
test_y_stride (test_fblas.TestSgemv) ... ok
test_y_stride_assert (test_fblas.TestSgemv) ... ok
test_y_stride_transpose (test_fblas.TestSgemv) ... ok
test_simple (test_fblas.TestSscal) ... ok
test_x_bad_size (test_fblas.TestSscal) ... ok
test_x_stride (test_fblas.TestSscal) ... ok
test_simple (test_fblas.TestSswap) ... ok
test_x_and_y_stride (test_fblas.TestSswap) ... ok
test_x_bad_size (test_fblas.TestSswap) ... ok
test_x_stride (test_fblas.TestSswap) ... ok
test_y_bad_size (test_fblas.TestSswap) ... ok
test_y_stride (test_fblas.TestSswap) ... ok
test_default_a (test_fblas.TestZaxpy) ... ok
test_simple (test_fblas.TestZaxpy) ... ok
test_x_and_y_stride (test_fblas.TestZaxpy) ... ok
test_x_bad_size (test_fblas.TestZaxpy) ... ok
test_x_stride (test_fblas.TestZaxpy) ... ok
test_y_bad_size (test_fblas.TestZaxpy) ... ok
test_y_stride (test_fblas.TestZaxpy) ... ok
test_simple (test_fblas.TestZcopy) ... ok
test_x_and_y_stride (test_fblas.TestZcopy) ... ok
test_x_bad_size (test_fblas.TestZcopy) ... ok
test_x_stride (test_fblas.TestZcopy) ... ok
test_y_bad_size (test_fblas.TestZcopy) ... ok
test_y_stride (test_fblas.TestZcopy) ... ok
test_default_beta_y (test_fblas.TestZgemv) ... ok
test_simple (test_fblas.TestZgemv) ... ok
test_simple_transpose (test_fblas.TestZgemv) ... ok
test_simple_transpose_conj (test_fblas.TestZgemv) ... ok
test_x_stride (test_fblas.TestZgemv) ... ok
test_x_stride_assert (test_fblas.TestZgemv) ... ok
test_x_stride_transpose (test_fblas.TestZgemv) ... ok
test_y_stride (test_fblas.TestZgemv) ... ok
test_y_stride_assert (test_fblas.TestZgemv) ... ok
test_y_stride_transpose (test_fblas.TestZgemv) ... ok
test_simple (test_fblas.TestZscal) ... ok
test_x_bad_size (test_fblas.TestZscal) ... ok
test_x_stride (test_fblas.TestZscal) ... ok
test_simple (test_fblas.TestZswap) ... ok
test_x_and_y_stride (test_fblas.TestZswap) ... ok
test_x_bad_size (test_fblas.TestZswap) ... ok
test_x_stride (test_fblas.TestZswap) ... ok
test_y_bad_size (test_fblas.TestZswap) ... ok
test_y_stride (test_fblas.TestZswap) ... ok
test_interpolative.TestInterpolativeDecomposition.test_badcall ... ok
test_interpolative.TestInterpolativeDecomposition.test_id(<type 'numpy.float64'>,) ... ok
test_interpolative.TestInterpolativeDecomposition.test_id(<type 'numpy.complex128'>,) ... ok
test_interpolative.TestInterpolativeDecomposition.test_rand ... ok
test_interpolative.TestInterpolativeDecomposition.test_rank_too_large ... ok
test_sing_val_update (test_lapack.TestDlasd4) ... ok
test_gh_2691 (test_lapack.TestDpotr) ... ok
test_gebal (test_lapack.TestFlapackSimple) ... ok
test_gehrd (test_lapack.TestFlapackSimple) ... ok
test_lange (test_lapack.TestFlapackSimple) ... ok
test_trsyl (test_lapack.TestFlapackSimple) ... ok
test_clapack (test_lapack.TestLapack) ... ok
test_flapack (test_lapack.TestLapack) ... ok
test_gelsd (test_lapack.TestLeastSquaresSolvers) ... ok
test_gelss (test_lapack.TestLeastSquaresSolvers) ... ok
test_gelsy (test_lapack.TestLeastSquaresSolvers) ... ok
test_ticket_1645 (test_lapack.TestRegression) ... ok
test_lapack.test_sgesdd_lwork_bug_workaround ... SKIP: very slow test; set environment variable SCIPY_XSLOW=1 to run it
test_lapack.test_lartg ... ok
test_lapack.test_rot ... ok
test_lapack.test_larfg_larf ... ok
test_consistency (test_matfuncs.TestExpM) ... ok
test_npmatrix (test_matfuncs.TestExpM) ... ok
test_single_elt (test_matfuncs.TestExpM) ... ok
test_zero (test_matfuncs.TestExpM) ... ok
test_expm_bad_condition_number (test_matfuncs.TestExpmConditionNumber) ... ok
test_expm_cond_fuzz (test_matfuncs.TestExpmConditionNumber) ... ok
test_expm_cond_smoke (test_matfuncs.TestExpmConditionNumber) ... ok
test_univariate (test_matfuncs.TestExpmConditionNumber) ... ok
test_expm_frechet (test_matfuncs.TestExpmFrechet) ... ok
test_fuzz (test_matfuncs.TestExpmFrechet) ... ok
test_medium_matrix (test_matfuncs.TestExpmFrechet) ... SKIP: Skipping test: test_medium_matrix: this test is deliberately slow
test_problematic_matrix (test_matfuncs.TestExpmFrechet) ... ok
test_small_norm_expm_frechet (test_matfuncs.TestExpmFrechet) ... ok
test_al_mohy_higham_2012_experiment_1 (test_matfuncs.TestFractionalMatrixPower) ... ok
test_briggs_helper_function (test_matfuncs.TestFractionalMatrixPower) ... ok
test_larger_abs_fractional_matrix_powers (test_matfuncs.TestFractionalMatrixPower) ... ok
test_opposite_sign_complex_eigenvalues (test_matfuncs.TestFractionalMatrixPower) ... ok
test_random_matrices_and_powers (test_matfuncs.TestFractionalMatrixPower) ... ok
test_round_trip_random_complex (test_matfuncs.TestFractionalMatrixPower) ... ok
test_round_trip_random_float (test_matfuncs.TestFractionalMatrixPower) ... ok
test_singular (test_matfuncs.TestFractionalMatrixPower) ... KNOWNFAIL: Too unstable across LAPACKs.
test_type_conversion_mixed_sign_or_complex_spectrum (test_matfuncs.TestFractionalMatrixPower) ... ok
test_type_preservation_and_conversion (test_matfuncs.TestFractionalMatrixPower) ... ok
test_al_mohy_higham_2012_experiment_1_funm_log (test_matfuncs.TestLogM) ... ok
test_al_mohy_higham_2012_experiment_1_logm (test_matfuncs.TestLogM) ... ok
test_complex_spectrum_real_logm (test_matfuncs.TestLogM) ... ok
test_exactly_singular (test_matfuncs.TestLogM) ... ok
test_logm_type_preservation_and_conversion (test_matfuncs.TestLogM) ... ok
test_nearly_singular (test_matfuncs.TestLogM) ... ok
test_nils (test_matfuncs.TestLogM) ... ok
test_opposite_sign_complex_eigenvalues (test_matfuncs.TestLogM) ... ok
test_real_mixed_sign_spectrum (test_matfuncs.TestLogM) ... ok
test_round_trip_random_complex (test_matfuncs.TestLogM) ... ok
test_round_trip_random_float (test_matfuncs.TestLogM) ... ok
test_defective1 (test_matfuncs.TestSignM) ... ok
test_defective2 (test_matfuncs.TestSignM) ... ok
test_defective3 (test_matfuncs.TestSignM) ... ok
test_nils (test_matfuncs.TestSignM) ... ok
test_al_mohy_higham_2012_experiment_1 (test_matfuncs.TestSqrtM) ... ok
test_bad (test_matfuncs.TestSqrtM) ... ok
test_blocksizes (test_matfuncs.TestSqrtM) ... ok
test_disp (test_matfuncs.TestSqrtM) ... ok
test_opposite_sign_complex_eigenvalues (test_matfuncs.TestSqrtM) ... ok
test_round_trip_random_complex (test_matfuncs.TestSqrtM) ... ok
test_round_trip_random_float (test_matfuncs.TestSqrtM) ... ok
test_sqrtm_type_conversion_mixed_sign_or_complex_spectrum (test_matfuncs.TestSqrtM) ... ok
test_sqrtm_type_preservation_and_conversion (test_matfuncs.TestSqrtM) ... ok
test_strict_upper_triangular (test_matfuncs.TestSqrtM) ... ok
test_weird_matrix (test_matfuncs.TestSqrtM) ... ok
test_procrustes.test_orthogonal_procrustes_ndim_too_large ... ok
test_procrustes.test_orthogonal_procrustes_ndim_too_small ... ok
test_procrustes.test_orthogonal_procrustes_shape_mismatch ... ok
test_procrustes.test_orthogonal_procrustes_checkfinite_exception ... ok
test_procrustes.test_orthogonal_procrustes_scale_invariance ... ok
test_procrustes.test_orthogonal_procrustes_array_conversion ... ok
test_procrustes.test_orthogonal_procrustes ... ok
test_procrustes.test_orthogonal_procrustes_exact_example ... ok
test_procrustes.test_orthogonal_procrustes_stretched_example ... ok
test_procrustes.test_orthogonal_procrustes_skbio_example ... ok
test_solve_toeplitz.test_solve_equivalence ... ok
test_solve_toeplitz.test_multiple_rhs ... ok
test_solve_toeplitz.test_zero_diag_error ... ok
test_solve_toeplitz.test_wikipedia_counterexample ... ok
test_solve_toeplitz.test_reflection_coeffs ... ok
test_solve_toeplitz.test_unstable ... KNOWNFAIL: Instability of Levinson iteraton
test_cases (test_solvers.TestSolveContinuousARE) ... ok
test_cases (test_solvers.TestSolveDiscreteARE) ... ok
test_cases (test_solvers.TestSolveLyapunov) ... ok
test_cases (test_solvers.TestSolveSylvester) ... ok
test_trivial (test_solvers.TestSolveSylvester) ... ok
test_special_matrices.TestBlockDiag.test_bad_arg ... ok
test_special_matrices.TestBlockDiag.test_basic ... ok
test_special_matrices.TestBlockDiag.test_dtype ... ok
test_special_matrices.TestBlockDiag.test_empty_matrix_arg ... ok
test_special_matrices.TestBlockDiag.test_mixed_dtypes ... ok
test_special_matrices.TestBlockDiag.test_no_args ... ok
test_special_matrices.TestBlockDiag.test_scalar_and_1d_args ... ok
test_basic (test_special_matrices.TestCirculant) ... ok
test_bad_shapes (test_special_matrices.TestCompanion) ... ok
test_basic (test_special_matrices.TestCompanion) ... ok
test_basic (test_special_matrices.TestHadamard) ... ok
test_basic (test_special_matrices.TestHankel) ... ok
test_orthogonality (test_special_matrices.TestHelmert) ... ok
test_subspace (test_special_matrices.TestHelmert) ... ok
test_basic (test_special_matrices.TestHilbert) ... ok
test_basic (test_special_matrices.TestInvHilbert) ... ok
test_inverse (test_special_matrices.TestInvHilbert) ... ok
test_special_matrices.TestKron.test_basic ... ok
test_bad_shapes (test_special_matrices.TestLeslie) ... ok
test_basic (test_special_matrices.TestLeslie) ... ok
test_big (test_special_matrices.TestPascal) ... ok
test_cases (test_special_matrices.TestPascal) ... ok
test_threshold (test_special_matrices.TestPascal) ... ok
test_basic (test_special_matrices.TestToeplitz) ... ok
test_complex_01 (test_special_matrices.TestToeplitz) ... ok
Scalar arguments still produce a 2D array. ... ok
test_scalar_01 (test_special_matrices.TestToeplitz) ... ok
test_scalar_02 (test_special_matrices.TestToeplitz) ... ok
test_scalar_03 (test_special_matrices.TestToeplitz) ... ok
test_scalar_04 (test_special_matrices.TestToeplitz) ... ok
test_2d (test_special_matrices.TestTri) ... ok
test_basic (test_special_matrices.TestTri) ... ok
test_diag (test_special_matrices.TestTri) ... ok
test_diag2d (test_special_matrices.TestTri) ... ok
test_basic (test_special_matrices.TestTril) ... ok
test_diag (test_special_matrices.TestTril) ... ok
test_basic (test_special_matrices.TestTriu) ... ok
test_diag (test_special_matrices.TestTriu) ... ok
test_special_matrices.test_invpascal(1, 'symmetric', True) ... ok
test_special_matrices.test_invpascal(1, 'symmetric', False) ... ok
test_special_matrices.test_invpascal(1, 'lower', True) ... ok
test_special_matrices.test_invpascal(1, 'lower', False) ... ok
test_special_matrices.test_invpascal(1, 'upper', True) ... ok
test_special_matrices.test_invpascal(1, 'upper', False) ... ok
test_special_matrices.test_invpascal(2, 'symmetric', True) ... ok
test_special_matrices.test_invpascal(2, 'symmetric', False) ... ok
test_special_matrices.test_invpascal(2, 'lower', True) ... ok
test_special_matrices.test_invpascal(2, 'lower', False) ... ok
test_special_matrices.test_invpascal(2, 'upper', True) ... ok
test_special_matrices.test_invpascal(2, 'upper', False) ... ok
test_special_matrices.test_invpascal(5, 'symmetric', True) ... ok
test_special_matrices.test_invpascal(5, 'symmetric', False) ... ok
test_special_matrices.test_invpascal(5, 'lower', True) ... ok
test_special_matrices.test_invpascal(5, 'lower', False) ... ok
test_special_matrices.test_invpascal(5, 'upper', True) ... ok
test_special_matrices.test_invpascal(5, 'upper', False) ... ok
test_special_matrices.test_invpascal(18, 'symmetric', True) ... ok
test_special_matrices.test_invpascal(18, 'symmetric', False) ... ok
test_special_matrices.test_invpascal(18, 'lower', True) ... ok
test_special_matrices.test_invpascal(18, 'lower', False) ... ok
test_special_matrices.test_invpascal(18, 'upper', True) ... ok
test_special_matrices.test_invpascal(18, 'upper', False) ... ok
test_special_matrices.test_invpascal(19, 'symmetric', True) ... ok
test_special_matrices.test_invpascal(19, 'lower', True) ... ok
test_special_matrices.test_invpascal(19, 'upper', True) ... ok
test_special_matrices.test_invpascal(34, 'symmetric', True) ... ok
test_special_matrices.test_invpascal(34, 'lower', True) ... ok
test_special_matrices.test_invpascal(34, 'upper', True) ... ok
test_special_matrices.test_invpascal(35, 'symmetric', True) ... ok
test_special_matrices.test_invpascal(35, 'lower', True) ... ok
test_special_matrices.test_invpascal(35, 'upper', True) ... ok
test_special_matrices.test_invpascal(50, 'symmetric', True) ... ok
test_special_matrices.test_invpascal(50, 'lower', True) ... ok
test_special_matrices.test_invpascal(50, 'upper', True) ... ok
test_special_matrices.test_dft(array([[ 1. +0.00000000e+00j,  1. +0.00000000e+00j], ... ok
test_special_matrices.test_dft(array([[ 0.5 +0.00000000e+00j,  0.5 +0.00000000e+00j], ... ok
test_special_matrices.test_dft(array([[ 0.70710678 +0.00000000e+00j,  0.70710678 +0.00000000e+00j], ... ok
test_special_matrices.test_dft(array([ 16.00000000 +0.00000000e+00j,  -8.24264069 -5.85786438e-01j, ... ok
test_common.test_pade_trivial ... ok
test_common.test_pade_4term_exp ... ok
test_common.test_logsumexp ... ok
test_common.test_logsumexp_b ... ok
test_common.test_logsumexp_sign ... ok
test_common.test_logsumexp_sign_zero ... ok
test_common.test_logsumexp_sign_shape ... ok
test_common.test_logsumexp_shape ... ok
test_common.test_logsumexp_b_zero ... ok
test_common.test_logsumexp_b_shape ... ok
test_common.test_face ... ok
test_common.test_ascent ... ok
test_doccer.test_unindent('Another test\n   with some indent', 'Another test\n   with some indent') ... ok
test_doccer.test_unindent('Another test, one line', 'Another test, one line') ... ok
test_doccer.test_unindent('Another test\n   with some indent', 'Another test\n   with some indent') ... ok
test_doccer.test_unindent_dict('Another test\n   with some indent', 'Another test\n   with some indent') ... ok
test_doccer.test_unindent_dict('Another test, one line', 'Another test, one line') ... ok
test_doccer.test_unindent_dict('Another test\n   with some indent', 'Another test\n   with some indent') ... ok
test_doccer.test_docformat('Docstring\n    Another test\n       with some indent\n        Another test, one line\n     Another test\n       with some indent\n', 'Docstring\n    Another test\n       with some indent\n        Another test, one line\n     Another test\n       with some indent\n') ... ok
test_doccer.test_docformat('Single line doc Another test\n   with some indent', 'Single line doc Another test\n   with some indent') ... ok
test_doccer.test_decorator(' Docstring\n        Another test\n           with some indent\n        ', ' Docstring\n        Another test\n           with some indent\n        ') ... ok
test_doccer.test_decorator(' Docstring\n            Another test\n               with some indent\n        ', ' Docstring\n            Another test\n               with some indent\n        ') ... ok
test_doccer.test_inherit_docstring_from ... ok
test_bytescale (test_pilutil.TestPILUtil) ... SKIP: Skipping test: test_bytescale: Need to import PIL for this test
test_bytescale_keywords (test_pilutil.TestPILUtil) ... SKIP: Skipping test: test_bytescale_keywords: Need to import PIL for this test
test_imresize (test_pilutil.TestPILUtil) ... SKIP: Skipping test: test_imresize: Need to import PIL for this test
test_imresize2 (test_pilutil.TestPILUtil) ... SKIP: Skipping test: test_imresize2: Need to import PIL for this test
test_imresize3 (test_pilutil.TestPILUtil) ... SKIP: Skipping test: test_imresize3: Need to import PIL for this test
test_imresize4 (test_pilutil.TestPILUtil) ... SKIP: Skipping test: test_imresize4: Need to import PIL for this test
test_imresize5 (test_pilutil.TestPILUtil) ... SKIP: Skipping test: test_imresize5: Need to import PIL for this test
test_imsave (test_pilutil.TestPILUtil) ... SKIP: Skipping test: test_imsave: Need to import PIL for this test
Failure: SkipTest (Skipping test: test_fromimage: Need to import PIL for this test) ... SKIP: Skipping test: test_fromimage: Need to import PIL for this test
test_pilutil.test_imread_indexed_png ... SKIP: Skipping test: test_imread_indexed_png: Need to import PIL for this test
test_pilutil.test_imread_1bit ... SKIP: Skipping test: test_imread_1bit: Need to import PIL for this test
test_pilutil.test_imread_2bit ... SKIP: Skipping test: test_imread_2bit: Need to import PIL for this test
test_pilutil.test_imread_4bit ... SKIP: Skipping test: test_imread_4bit: Need to import PIL for this test
test_datatypes.test_map_coordinates_dts ... ok
test_datatypes.test_uint64_max ... KNOWNFAIL: Test skipped due to known failure
test_correlate (test_filters.TestThreading) ... ok
test_correlate1d (test_filters.TestThreading) ... ok
test_median_filter (test_filters.TestThreading) ... ok
test_minmax_filter (test_filters.TestThreading) ... ok
test_uniform_filter1d (test_filters.TestThreading) ... ok
test_filters.test_ticket_701 ... ok
test_filters.test_gh_5430 ... ok
test_filters.test_orders_gauss(0, array([ 0.])) ... ok
test_filters.test_orders_gauss(0, array([ 0.])) ... ok
test_filters.test_orders_gauss(<type 'exceptions.ValueError'>, <function gaussian_filter at 0x1fb1c08>, array([ 0.]), 1, -1) ... ok
test_filters.test_orders_gauss(<type 'exceptions.ValueError'>, <function gaussian_filter at 0x1fb1c08>, array([ 0.]), 1, 4) ... ok
test_filters.test_orders_gauss(0, array([ 0.])) ... ok
test_filters.test_orders_gauss(0, array([ 0.])) ... ok
test_filters.test_orders_gauss(<type 'exceptions.ValueError'>, <function gaussian_filter1d at 0x1fb1b90>, array([ 0.]), 1, -1, -1) ... ok
test_filters.test_orders_gauss(<type 'exceptions.ValueError'>, <function gaussian_filter1d at 0x1fb1b90>, array([ 0.]), 1, -1, 4) ... ok
Regression test for #1311. ... ok
test_filters.test_gaussian_truncate ... ok
test_filters.test_minmaximum_filter1d ... ok
test_io.test_imread ... SKIP: Skipping test: test_imread: The Python Image Library could not be found.
test_basic (test_measurements.Test_measurements_select) ... ok
test_a (test_measurements.Test_measurements_stats) ... ok
test_a_centered (test_measurements.Test_measurements_stats) ... ok
test_b (test_measurements.Test_measurements_stats) ... ok
test_b_centered (test_measurements.Test_measurements_stats) ... ok
test_nonint_labels (test_measurements.Test_measurements_stats) ... ok
test_measurements.test_label01 ... ok
test_measurements.test_label02 ... ok
test_measurements.test_label03 ... ok
test_measurements.test_label04 ... ok
test_measurements.test_label05 ... ok
test_measurements.test_label06 ... ok
test_measurements.test_label07 ... ok
test_measurements.test_label08 ... ok
test_measurements.test_label09 ... ok
test_measurements.test_label10 ... ok
test_measurements.test_label11 ... ok
test_measurements.test_label11_inplace ... ok
test_measurements.test_label12 ... ok
test_measurements.test_label13 ... ok
test_measurements.test_label_output_typed ... ok
test_measurements.test_label_output_dtype ... ok
test_measurements.test_label_output_wrong_size ... ok
test_measurements.test_label_structuring_elements ... ok
test_measurements.test_label_default_dtype ... ok
test_measurements.test_find_objects01 ... ok
test_measurements.test_find_objects02 ... ok
test_measurements.test_find_objects03 ... ok
test_measurements.test_find_objects04 ... ok
test_measurements.test_find_objects05 ... ok
test_measurements.test_find_objects06 ... ok
test_measurements.test_find_objects07 ... ok
test_measurements.test_find_objects08 ... ok
test_measurements.test_find_objects09 ... ok
test_measurements.test_sum01 ... ok
test_measurements.test_sum02 ... ok
test_measurements.test_sum03 ... ok
test_measurements.test_sum04 ... ok
test_measurements.test_sum05 ... ok
test_measurements.test_sum06 ... ok
test_measurements.test_sum07 ... ok
test_measurements.test_sum08 ... ok
test_measurements.test_sum09 ... ok
test_measurements.test_sum10 ... ok
test_measurements.test_sum11 ... ok
test_measurements.test_sum12 ... ok
test_measurements.test_mean01 ... ok
test_measurements.test_mean02 ... ok
test_measurements.test_mean03 ... ok
test_measurements.test_mean04 ... ok
test_measurements.test_minimum01 ... ok
test_measurements.test_minimum02 ... ok
test_measurements.test_minimum03 ... ok
test_measurements.test_minimum04 ... ok
test_measurements.test_maximum01 ... ok
test_measurements.test_maximum02 ... ok
test_measurements.test_maximum03 ... ok
test_measurements.test_maximum04 ... ok
test_measurements.test_maximum05 ... ok
test_measurements.test_median01 ... ok
test_measurements.test_median02 ... ok
test_measurements.test_median03 ... ok
test_measurements.test_variance01 ... ok
test_measurements.test_variance02 ... ok
test_measurements.test_variance03 ... ok
test_measurements.test_variance04 ... ok
test_measurements.test_variance05 ... ok
test_measurements.test_variance06 ... ok
test_measurements.test_standard_deviation01 ... ok
test_measurements.test_standard_deviation02 ... ok
test_measurements.test_standard_deviation03 ... ok
test_measurements.test_standard_deviation04 ... ok
test_measurements.test_standard_deviation05 ... ok
test_measurements.test_standard_deviation06 ... ok
test_measurements.test_standard_deviation07 ... ok
test_measurements.test_minimum_position01 ... ok
test_measurements.test_minimum_position02 ... ok
test_measurements.test_minimum_position03 ... ok
test_measurements.test_minimum_position04 ... ok
test_measurements.test_minimum_position05 ... ok
test_measurements.test_minimum_position06 ... ok
test_measurements.test_minimum_position07 ... ok
test_measurements.test_maximum_position01 ... ok
test_measurements.test_maximum_position02 ... ok
test_measurements.test_maximum_position03 ... ok
test_measurements.test_maximum_position04 ... ok
test_measurements.test_maximum_position05 ... ok
test_measurements.test_maximum_position06 ... ok
test_measurements.test_maximum_position07 ... ok
test_measurements.test_extrema01 ... ok
test_measurements.test_extrema02 ... ok
test_measurements.test_extrema03 ... ok
test_measurements.test_extrema04 ... ok
test_measurements.test_center_of_mass01 ... ok
test_measurements.test_center_of_mass02 ... ok
test_measurements.test_center_of_mass03 ... ok
test_measurements.test_center_of_mass04 ... ok
test_measurements.test_center_of_mass05 ... ok
test_measurements.test_center_of_mass06 ... ok
test_measurements.test_center_of_mass07 ... ok
test_measurements.test_center_of_mass08 ... ok
test_measurements.test_center_of_mass09 ... ok
test_measurements.test_histogram01 ... ok
test_measurements.test_histogram02 ... ok
test_measurements.test_histogram03 ... ok
test_measurements.test_stat_funcs_2d ... ok
test_ndimage.TestDilateFix.test_dilation_scalar_size ... ok
test_ndimage.TestDilateFix.test_dilation_square_structure ... ok
test_ndimage.TestNdimage.test_affine_transform01 ... ok
test_ndimage.TestNdimage.test_affine_transform01_with_output_parameter ... ok
test_ndimage.TestNdimage.test_affine_transform02 ... ok
test_ndimage.TestNdimage.test_affine_transform03 ... ok
test_ndimage.TestNdimage.test_affine_transform04 ... ok
test_ndimage.TestNdimage.test_affine_transform05 ... ok
test_ndimage.TestNdimage.test_affine_transform06 ... ok
test_ndimage.TestNdimage.test_affine_transform07 ... ok
test_ndimage.TestNdimage.test_affine_transform08 ... ok
test_ndimage.TestNdimage.test_affine_transform09 ... ok
test_ndimage.TestNdimage.test_affine_transform10 ... ok
test_ndimage.TestNdimage.test_affine_transform11 ... ok
test_ndimage.TestNdimage.test_affine_transform12 ... ok
test_ndimage.TestNdimage.test_affine_transform13 ... ok
test_ndimage.TestNdimage.test_affine_transform14 ... ok
test_ndimage.TestNdimage.test_affine_transform15 ... ok
test_ndimage.TestNdimage.test_affine_transform16 ... ok
test_ndimage.TestNdimage.test_affine_transform17 ... ok
test_ndimage.TestNdimage.test_affine_transform18 ... ok
test_ndimage.TestNdimage.test_affine_transform19 ... ok
test_ndimage.TestNdimage.test_affine_transform20 ... ok
test_ndimage.TestNdimage.test_affine_transform21 ... ok
test_ndimage.TestNdimage.test_affine_transform22 ... ok
test_ndimage.TestNdimage.test_affine_transform23 ... ok
test_ndimage.TestNdimage.test_affine_transform24 ... ok
test_ndimage.TestNdimage.test_affine_transform25 ... ok
test_ndimage.TestNdimage.test_binary_closing01 ... ok
test_ndimage.TestNdimage.test_binary_closing02 ... ok
test_ndimage.TestNdimage.test_binary_dilation01 ... ok
test_ndimage.TestNdimage.test_binary_dilation02 ... ok
test_ndimage.TestNdimage.test_binary_dilation03 ... ok
test_ndimage.TestNdimage.test_binary_dilation04 ... ok
test_ndimage.TestNdimage.test_binary_dilation05 ... ok
test_ndimage.TestNdimage.test_binary_dilation06 ... ok
test_ndimage.TestNdimage.test_binary_dilation07 ... ok
test_ndimage.TestNdimage.test_binary_dilation08 ... ok
test_ndimage.TestNdimage.test_binary_dilation09 ... ok
test_ndimage.TestNdimage.test_binary_dilation10 ... ok
test_ndimage.TestNdimage.test_binary_dilation11 ... ok
test_ndimage.TestNdimage.test_binary_dilation12 ... ok
test_ndimage.TestNdimage.test_binary_dilation13 ... ok
test_ndimage.TestNdimage.test_binary_dilation14 ... ok
test_ndimage.TestNdimage.test_binary_dilation15 ... ok
test_ndimage.TestNdimage.test_binary_dilation16 ... ok
test_ndimage.TestNdimage.test_binary_dilation17 ... ok
test_ndimage.TestNdimage.test_binary_dilation18 ... ok
test_ndimage.TestNdimage.test_binary_dilation19 ... ok
test_ndimage.TestNdimage.test_binary_dilation20 ... ok
test_ndimage.TestNdimage.test_binary_dilation21 ... ok
test_ndimage.TestNdimage.test_binary_dilation22 ... ok
test_ndimage.TestNdimage.test_binary_dilation23 ... ok
test_ndimage.TestNdimage.test_binary_dilation24 ... ok
test_ndimage.TestNdimage.test_binary_dilation25 ... ok
test_ndimage.TestNdimage.test_binary_dilation26 ... ok
test_ndimage.TestNdimage.test_binary_dilation27 ... ok
test_ndimage.TestNdimage.test_binary_dilation28 ... ok
test_ndimage.TestNdimage.test_binary_dilation29 ... ok
test_ndimage.TestNdimage.test_binary_dilation30 ... ok
test_ndimage.TestNdimage.test_binary_dilation31 ... ok
test_ndimage.TestNdimage.test_binary_dilation32 ... ok
test_ndimage.TestNdimage.test_binary_dilation33 ... ok
test_ndimage.TestNdimage.test_binary_dilation34 ... ok
test_ndimage.TestNdimage.test_binary_dilation35 ... ok
test_ndimage.TestNdimage.test_binary_erosion01 ... ok
test_ndimage.TestNdimage.test_binary_erosion02 ... ok
test_ndimage.TestNdimage.test_binary_erosion03 ... ok
test_ndimage.TestNdimage.test_binary_erosion04 ... ok
test_ndimage.TestNdimage.test_binary_erosion05 ... ok
test_ndimage.TestNdimage.test_binary_erosion06 ... ok
test_ndimage.TestNdimage.test_binary_erosion07 ... ok
test_ndimage.TestNdimage.test_binary_erosion08 ... ok
test_ndimage.TestNdimage.test_binary_erosion09 ... ok
test_ndimage.TestNdimage.test_binary_erosion10 ... ok
test_ndimage.TestNdimage.test_binary_erosion11 ... ok
test_ndimage.TestNdimage.test_binary_erosion12 ... ok
test_ndimage.TestNdimage.test_binary_erosion13 ... ok
test_ndimage.TestNdimage.test_binary_erosion14 ... ok
test_ndimage.TestNdimage.test_binary_erosion15 ... ok
test_ndimage.TestNdimage.test_binary_erosion16 ... ok
test_ndimage.TestNdimage.test_binary_erosion17 ... ok
test_ndimage.TestNdimage.test_binary_erosion18 ... ok
test_ndimage.TestNdimage.test_binary_erosion19 ... ok
test_ndimage.TestNdimage.test_binary_erosion20 ... ok
test_ndimage.TestNdimage.test_binary_erosion21 ... ok
test_ndimage.TestNdimage.test_binary_erosion22 ... ok
test_ndimage.TestNdimage.test_binary_erosion23 ... ok
test_ndimage.TestNdimage.test_binary_erosion24 ... ok
test_ndimage.TestNdimage.test_binary_erosion25 ... ok
test_ndimage.TestNdimage.test_binary_erosion26 ... ok
test_ndimage.TestNdimage.test_binary_erosion27 ... ok
test_ndimage.TestNdimage.test_binary_erosion28 ... ok
test_ndimage.TestNdimage.test_binary_erosion29 ... ok
test_ndimage.TestNdimage.test_binary_erosion30 ... ok
test_ndimage.TestNdimage.test_binary_erosion31 ... ok
test_ndimage.TestNdimage.test_binary_erosion32 ... ok
test_ndimage.TestNdimage.test_binary_erosion33 ... ok
test_ndimage.TestNdimage.test_binary_erosion34 ... ok
test_ndimage.TestNdimage.test_binary_erosion35 ... ok
test_ndimage.TestNdimage.test_binary_erosion36 ... ok
test_ndimage.TestNdimage.test_binary_fill_holes01 ... ok
test_ndimage.TestNdimage.test_binary_fill_holes02 ... ok
test_ndimage.TestNdimage.test_binary_fill_holes03 ... ok
test_ndimage.TestNdimage.test_binary_opening01 ... ok
test_ndimage.TestNdimage.test_binary_opening02 ... ok
test_ndimage.TestNdimage.test_binary_propagation01 ... ok
test_ndimage.TestNdimage.test_binary_propagation02 ... ok
test_ndimage.TestNdimage.test_black_tophat01 ... ok
test_ndimage.TestNdimage.test_black_tophat02 ... ok
test_ndimage.TestNdimage.test_boundaries ... ok
test_ndimage.TestNdimage.test_boundaries2 ... ok
test_ndimage.TestNdimage.test_correlate01 ... ok
test_ndimage.TestNdimage.test_correlate02 ... ok
test_ndimage.TestNdimage.test_correlate03 ... ok
test_ndimage.TestNdimage.test_correlate04 ... ok
test_ndimage.TestNdimage.test_correlate05 ... ok
test_ndimage.TestNdimage.test_correlate06 ... ok
test_ndimage.TestNdimage.test_correlate07 ... ok
test_ndimage.TestNdimage.test_correlate08 ... ok
test_ndimage.TestNdimage.test_correlate09 ... ok
test_ndimage.TestNdimage.test_correlate10 ... ok
test_ndimage.TestNdimage.test_correlate11 ... ok
test_ndimage.TestNdimage.test_correlate12 ... ok
test_ndimage.TestNdimage.test_correlate13 ... ok
test_ndimage.TestNdimage.test_correlate14 ... ok
test_ndimage.TestNdimage.test_correlate15 ... ok
test_ndimage.TestNdimage.test_correlate16 ... ok
test_ndimage.TestNdimage.test_correlate17 ... ok
test_ndimage.TestNdimage.test_correlate18 ... ok
test_ndimage.TestNdimage.test_correlate19 ... ok
test_ndimage.TestNdimage.test_correlate20 ... ok
test_ndimage.TestNdimage.test_correlate21 ... ok
test_ndimage.TestNdimage.test_correlate22 ... ok
test_ndimage.TestNdimage.test_correlate23 ... ok
test_ndimage.TestNdimage.test_correlate24 ... ok
test_ndimage.TestNdimage.test_correlate25 ... ok
test_ndimage.TestNdimage.test_distance_transform_bf01 ... ok
test_ndimage.TestNdimage.test_distance_transform_bf02 ... ok
test_ndimage.TestNdimage.test_distance_transform_bf03 ... ok
test_ndimage.TestNdimage.test_distance_transform_bf04 ... ok
test_ndimage.TestNdimage.test_distance_transform_bf05 ... ok
test_ndimage.TestNdimage.test_distance_transform_bf06 ... ok
test_ndimage.TestNdimage.test_distance_transform_cdt01 ... ok
test_ndimage.TestNdimage.test_distance_transform_cdt02 ... ok
test_ndimage.TestNdimage.test_distance_transform_cdt03 ... ok
test_ndimage.TestNdimage.test_distance_transform_edt01 ... ok
test_ndimage.TestNdimage.test_distance_transform_edt02 ... ok
test_ndimage.TestNdimage.test_distance_transform_edt03 ... ok
test_ndimage.TestNdimage.test_distance_transform_edt4 ... ok
test_ndimage.TestNdimage.test_distance_transform_edt5 ... ok
test_ndimage.TestNdimage.test_extend01 ... ok
test_ndimage.TestNdimage.test_extend02 ... ok
test_ndimage.TestNdimage.test_extend03 ... ok
test_ndimage.TestNdimage.test_extend04 ... ok
test_ndimage.TestNdimage.test_extend05 ... ok
test_ndimage.TestNdimage.test_extend06 ... ok
test_ndimage.TestNdimage.test_extend07 ... ok
test_ndimage.TestNdimage.test_extend08 ... ok
test_ndimage.TestNdimage.test_extend09 ... ok
test_ndimage.TestNdimage.test_extend10 ... ok
test_ndimage.TestNdimage.test_fourier_ellipsoid_complex01 ... ok
test_ndimage.TestNdimage.test_fourier_ellipsoid_real01 ... ok
test_ndimage.TestNdimage.test_fourier_gaussian_complex01 ... ok
test_ndimage.TestNdimage.test_fourier_gaussian_real01 ... ok
test_ndimage.TestNdimage.test_fourier_shift_complex01 ... ok
test_ndimage.TestNdimage.test_fourier_shift_real01 ... ok
test_ndimage.TestNdimage.test_fourier_uniform_complex01 ... ok
test_ndimage.TestNdimage.test_fourier_uniform_real01 ... ok
test_ndimage.TestNdimage.test_gauss01 ... ok
test_ndimage.TestNdimage.test_gauss02 ... ok
test_ndimage.TestNdimage.test_gauss03 ... ok
test_ndimage.TestNdimage.test_gauss04 ... ok
test_ndimage.TestNdimage.test_gauss05 ... ok
test_ndimage.TestNdimage.test_gauss06 ... ok
test_ndimage.TestNdimage.test_gaussian_gradient_magnitude01 ... ok
test_ndimage.TestNdimage.test_gaussian_gradient_magnitude02 ... ok
test_ndimage.TestNdimage.test_gaussian_laplace01 ... ok
test_ndimage.TestNdimage.test_gaussian_laplace02 ... ok
test_ndimage.TestNdimage.test_generate_structure01 ... ok
test_ndimage.TestNdimage.test_generate_structure02 ... ok
test_ndimage.TestNdimage.test_generate_structure03 ... ok
test_ndimage.TestNdimage.test_generate_structure04 ... ok
test_ndimage.TestNdimage.test_generic_filter01 ... ok
test_ndimage.TestNdimage.test_generic_filter1d01 ... ok
test_ndimage.TestNdimage.test_generic_gradient_magnitude01 ... ok
test_ndimage.TestNdimage.test_generic_laplace01 ... ok
test_ndimage.TestNdimage.test_geometric_transform01 ... ok
test_ndimage.TestNdimage.test_geometric_transform01_with_output_parameter ... ok
test_ndimage.TestNdimage.test_geometric_transform02 ... ok
test_ndimage.TestNdimage.test_geometric_transform03 ... ok
test_ndimage.TestNdimage.test_geometric_transform04 ... ok
test_ndimage.TestNdimage.test_geometric_transform05 ... ok
test_ndimage.TestNdimage.test_geometric_transform06 ... ok
test_ndimage.TestNdimage.test_geometric_transform07 ... ok
test_ndimage.TestNdimage.test_geometric_transform08 ... ok
test_ndimage.TestNdimage.test_geometric_transform10 ... ok
test_ndimage.TestNdimage.test_geometric_transform13 ... ok
test_ndimage.TestNdimage.test_geometric_transform14 ... ok
test_ndimage.TestNdimage.test_geometric_transform15 ... ok
test_ndimage.TestNdimage.test_geometric_transform16 ... ok
test_ndimage.TestNdimage.test_geometric_transform17 ... ok
test_ndimage.TestNdimage.test_geometric_transform18 ... ok
test_ndimage.TestNdimage.test_geometric_transform19 ... ok
test_ndimage.TestNdimage.test_geometric_transform20 ... ok
test_ndimage.TestNdimage.test_geometric_transform21 ... ok
test_ndimage.TestNdimage.test_geometric_transform22 ... ok
test_ndimage.TestNdimage.test_geometric_transform23 ... ok
test_ndimage.TestNdimage.test_geometric_transform24 ... ok
test_ndimage.TestNdimage.test_grey_closing01 ... ok
test_ndimage.TestNdimage.test_grey_closing02 ... ok
test_ndimage.TestNdimage.test_grey_dilation01 ... ok
test_ndimage.TestNdimage.test_grey_dilation02 ... ok
test_ndimage.TestNdimage.test_grey_dilation03 ... ok
test_ndimage.TestNdimage.test_grey_erosion01 ... ok
test_ndimage.TestNdimage.test_grey_erosion02 ... ok
test_ndimage.TestNdimage.test_grey_erosion03 ... ok
test_ndimage.TestNdimage.test_grey_opening01 ... ok
test_ndimage.TestNdimage.test_grey_opening02 ... ok
test_ndimage.TestNdimage.test_hit_or_miss01 ... ok
test_ndimage.TestNdimage.test_hit_or_miss02 ... ok
test_ndimage.TestNdimage.test_hit_or_miss03 ... ok
test_ndimage.TestNdimage.test_iterate_structure01 ... ok
test_ndimage.TestNdimage.test_iterate_structure02 ... ok
test_ndimage.TestNdimage.test_iterate_structure03 ... ok
test_ndimage.TestNdimage.test_laplace01 ... ok
test_ndimage.TestNdimage.test_laplace02 ... ok
test_ndimage.TestNdimage.test_map_coordinates01 ... ok
test_ndimage.TestNdimage.test_map_coordinates01_with_output_parameter ... ok
test_ndimage.TestNdimage.test_map_coordinates02 ... ok
test_ndimage.TestNdimage.test_map_coordinates03 ... ok
test_ndimage.TestNdimage.test_map_coordinates_large_data ... ok
test_ndimage.TestNdimage.test_maximum_filter01 ... ok
test_ndimage.TestNdimage.test_maximum_filter02 ... ok
test_ndimage.TestNdimage.test_maximum_filter03 ... ok
test_ndimage.TestNdimage.test_maximum_filter04 ... ok
test_ndimage.TestNdimage.test_maximum_filter05 ... ok
test_ndimage.TestNdimage.test_maximum_filter06 ... ok
test_ndimage.TestNdimage.test_maximum_filter07 ... ok
test_ndimage.TestNdimage.test_maximum_filter08 ... ok
test_ndimage.TestNdimage.test_maximum_filter09 ... ok
test_ndimage.TestNdimage.test_minimum_filter01 ... ok
test_ndimage.TestNdimage.test_minimum_filter02 ... ok
test_ndimage.TestNdimage.test_minimum_filter03 ... ok
test_ndimage.TestNdimage.test_minimum_filter04 ... ok
test_ndimage.TestNdimage.test_minimum_filter05 ... ok
test_ndimage.TestNdimage.test_minimum_filter06 ... ok
test_ndimage.TestNdimage.test_minimum_filter07 ... ok
test_ndimage.TestNdimage.test_minimum_filter08 ... ok
test_ndimage.TestNdimage.test_minimum_filter09 ... ok
test_ndimage.TestNdimage.test_morphological_gradient01 ... ok
test_ndimage.TestNdimage.test_morphological_gradient02 ... ok
test_ndimage.TestNdimage.test_morphological_laplace01 ... ok
test_ndimage.TestNdimage.test_morphological_laplace02 ... ok
test_ndimage.TestNdimage.test_prewitt01 ... ok
test_ndimage.TestNdimage.test_prewitt02 ... ok
test_ndimage.TestNdimage.test_prewitt03 ... ok
test_ndimage.TestNdimage.test_prewitt04 ... ok
test_ndimage.TestNdimage.test_rank01 ... ok
test_ndimage.TestNdimage.test_rank02 ... ok
test_ndimage.TestNdimage.test_rank03 ... ok
test_ndimage.TestNdimage.test_rank04 ... ok
test_ndimage.TestNdimage.test_rank05 ... ok
test_ndimage.TestNdimage.test_rank06 ... ok
test_ndimage.TestNdimage.test_rank07 ... ok
test_ndimage.TestNdimage.test_rank08 ... ok
test_ndimage.TestNdimage.test_rank09 ... ok
test_ndimage.TestNdimage.test_rank10 ... ok
test_ndimage.TestNdimage.test_rank11 ... ok
test_ndimage.TestNdimage.test_rank12 ... ok
test_ndimage.TestNdimage.test_rank13 ... ok
test_ndimage.TestNdimage.test_rank14 ... ok
rank filter 15 ... ok
test_ndimage.TestNdimage.test_rotate01 ... ok
test_ndimage.TestNdimage.test_rotate02 ... ok
test_ndimage.TestNdimage.test_rotate03 ... ok
test_ndimage.TestNdimage.test_rotate04 ... ok
test_ndimage.TestNdimage.test_rotate05 ... ok
test_ndimage.TestNdimage.test_rotate06 ... ok
test_ndimage.TestNdimage.test_rotate07 ... ok
test_ndimage.TestNdimage.test_rotate08 ... ok
test_ndimage.TestNdimage.test_shift01 ... ok
test_ndimage.TestNdimage.test_shift02 ... ok
test_ndimage.TestNdimage.test_shift03 ... ok
test_ndimage.TestNdimage.test_shift04 ... ok
test_ndimage.TestNdimage.test_shift05 ... ok
test_ndimage.TestNdimage.test_shift06 ... ok
test_ndimage.TestNdimage.test_shift07 ... ok
test_ndimage.TestNdimage.test_shift08 ... ok
test_ndimage.TestNdimage.test_shift09 ... ok
test_ndimage.TestNdimage.test_sobel01 ... ok
test_ndimage.TestNdimage.test_sobel02 ... ok
test_ndimage.TestNdimage.test_sobel03 ... ok
test_ndimage.TestNdimage.test_sobel04 ... ok
test_ndimage.TestNdimage.test_spline01 ... ok
test_ndimage.TestNdimage.test_spline02 ... ok
test_ndimage.TestNdimage.test_spline03 ... ok
test_ndimage.TestNdimage.test_spline04 ... ok
test_ndimage.TestNdimage.test_spline05 ... ok
test_ndimage.TestNdimage.test_uniform01 ... ok
test_ndimage.TestNdimage.test_uniform02 ... ok
test_ndimage.TestNdimage.test_uniform03 ... ok
test_ndimage.TestNdimage.test_uniform04 ... ok
test_ndimage.TestNdimage.test_uniform05 ... ok
test_ndimage.TestNdimage.test_uniform06 ... ok
test_ndimage.TestNdimage.test_watershed_ift01 ... ok
test_ndimage.TestNdimage.test_watershed_ift02 ... ok
test_ndimage.TestNdimage.test_watershed_ift03 ... ok
test_ndimage.TestNdimage.test_watershed_ift04 ... ok
test_ndimage.TestNdimage.test_watershed_ift05 ... ok
test_ndimage.TestNdimage.test_watershed_ift06 ... ok
test_ndimage.TestNdimage.test_watershed_ift07 ... ok
test_ndimage.TestNdimage.test_white_tophat01 ... ok
test_ndimage.TestNdimage.test_white_tophat02 ... ok
test_ndimage.TestNdimage.test_zoom1 ... ok
test_ndimage.TestNdimage.test_zoom2 ... ok
test_ndimage.TestNdimage.test_zoom3 ... ok
test_ndimage.TestNdimage.test_zoom_affine01 ... ok
test_ndimage.TestNdimage.test_zoom_infinity ... ok
test_ndimage.TestNdimage.test_zoom_output_shape_roundoff ... ok
test_ndimage.TestNdimage.test_zoom_zoomfactor_one ... ok
Regression test for #413: median_filter does not handle bytes orders. ... ok
Ticket #643 ... ok
test_regression.test_ticket_742 ... ok
Github issue #3025 - improper merging of labels ... ok
test_bad_data (test_odr.TestODR) ... ok
test_empty_data (test_odr.TestODR) ... ok
test_explicit (test_odr.TestODR) ... ok
test_implicit (test_odr.TestODR) ... ok
test_lorentz (test_odr.TestODR) ... ok
test_multi (test_odr.TestODR) ... ok
test_pearson (test_odr.TestODR) ... ok
test_ticket_1253 (test_odr.TestODR) ... ok
test_1d_grad (test__basinhopping.TestBasinHopping) ... ok
test_2d (test__basinhopping.TestBasinHopping) ... ok
test_2d_nograd (test__basinhopping.TestBasinHopping) ... ok
test_TypeError (test__basinhopping.TestBasinHopping) ... ok
test_all_minimizers (test__basinhopping.TestBasinHopping) ... ok
test_all_nograd_minimizers (test__basinhopping.TestBasinHopping) ... ok
test_jac (test__basinhopping.TestBasinHopping) ... ok
test_minimizer_fail (test__basinhopping.TestBasinHopping) ... ok
test_niter_zero (test__basinhopping.TestBasinHopping) ... ok
test_njev (test__basinhopping.TestBasinHopping) ... ok
test_pass_accept_test (test__basinhopping.TestBasinHopping) ... ok
test_pass_callback (test__basinhopping.TestBasinHopping) ... ok
test_pass_simple_takestep (test__basinhopping.TestBasinHopping) ... ok
test_pass_takestep (test__basinhopping.TestBasinHopping) ... ok
test_adaptive_decrease (test__basinhopping.Test_AdaptiveStepsize) ... ok
test_adaptive_increase (test__basinhopping.Test_AdaptiveStepsize) ... ok
test_all_accepted (test__basinhopping.Test_AdaptiveStepsize) ... ok
test_all_rejected (test__basinhopping.Test_AdaptiveStepsize) ... ok
test_KeyError (test__basinhopping.Test_Metropolis) ... ok
test_accept (test__basinhopping.Test_Metropolis) ... ok
test_boolean_return (test__basinhopping.Test_Metropolis) ... ok
test_lower_f_accepted (test__basinhopping.Test_Metropolis) ... ok
test_random (test__basinhopping.Test_RandomDisplacement) ... ok
test_higher_f_rejected (test__basinhopping.Test_Storage) ... ok
test_lower_f_accepted (test__basinhopping.Test_Storage) ... ok
test__ensure_constraint (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test__make_random_gen (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test__mutate1 (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test__mutate2 (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test__randtobest1 (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test__scale_parameters (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test__strategy_resolves (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test__unscale_parameters (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test_args_tuple_is_passed (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test_best_solution_retrieval (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test_bounds_checking (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test_calculate_population_energies (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test_callback_terminates (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test_can_init_with_dithering (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test_convergence (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test_differential_evolution (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test_exp_runs (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test_gh_4511_regression (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test_init_with_invalid_strategy (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test_invalid_mutation_values_arent_accepted (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test_iteration (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test_maxfun_stops_solve (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test_maxiter_none_GH5731 (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test_maxiter_stops_solve (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test_population_initiation (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test_quadratic (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test_quadratic_from_diff_ev (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test_seed_gives_repeatability (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test_select_samples (test__differential_evolution.TestDifferentialEvolutionSolver) ... ok
test__numdiff.TestAdjustSchemeToBounds.test_no_bounds ... ok
test__numdiff.TestAdjustSchemeToBounds.test_tight_bounds ... ok
test__numdiff.TestAdjustSchemeToBounds.test_with_bound ... ok
test__numdiff.TestApproxDerivativeSparse.test_all ... ok
test__numdiff.TestApproxDerivativeSparse.test_check_derivative ... ok
test__numdiff.TestApproxDerivativeSparse.test_equivalence ... ok
test__numdiff.TestApproxDerivativeSparse.test_no_precomputed_groups ... ok
test__numdiff.TestApproxDerivativesDense.test_bound_switches ... ok
test__numdiff.TestApproxDerivativesDense.test_check_derivative ... ok
test__numdiff.TestApproxDerivativesDense.test_custom_rel_step ... ok
test__numdiff.TestApproxDerivativesDense.test_non_numpy ... ok
test__numdiff.TestApproxDerivativesDense.test_options ... ok
test__numdiff.TestApproxDerivativesDense.test_scalar_scalar ... ok
test__numdiff.TestApproxDerivativesDense.test_scalar_vector ... ok
test__numdiff.TestApproxDerivativesDense.test_tight_bounds ... ok
test__numdiff.TestApproxDerivativesDense.test_vector_scalar ... ok
test__numdiff.TestApproxDerivativesDense.test_vector_vector ... ok
test__numdiff.TestApproxDerivativesDense.test_with_bounds_2_point ... ok
test__numdiff.TestApproxDerivativesDense.test_with_bounds_3_point ... ok
test__numdiff.TestApproxDerivativesDense.test_wrong_dimensions ... ok
test__numdiff.test_group_columns ... ok
test__root.TestRoot.test_minimize_scalar_coerce_args_param ... ok
test__root.TestRoot.test_tol_parameter ... ok
test__spectral.test_performance ... ok
test__spectral.test_complex ... ok
test__spectral.test_linear_definite ... ok
test__spectral.test_shape ... ok
test_minimize_constraint_violation (test_cobyla.TestCobyla) ... ok
test_minimize_simple (test_cobyla.TestCobyla) ... ok
test_simple (test_cobyla.TestCobyla) ... ok
test_cobyla.test_vector_constraints ... ok
test_hungarian.test_linear_sum_assignment ... ok
test_hungarian.test_linear_sum_assignment_input_validation ... ok
test_lbfgsb_hessinv.test_1 ... ok
test_lbfgsb_hessinv.test_2 ... ok
test_least_squares.TestDogbox.test_args_kwargs ... ok
test_least_squares.TestDogbox.test_basic ... ok
test_least_squares.TestDogbox.test_bounds_shape ... ok
test_least_squares.TestDogbox.test_bvp ... ok
test_least_squares.TestDogbox.test_diff_step ... ok
test_least_squares.TestDogbox.test_equivalence ... ok
test_least_squares.TestDogbox.test_exact_tr_solver ... ok
test_least_squares.TestDogbox.test_full_result ... ok
test_least_squares.TestDogbox.test_full_result_single_fev ... ok
test_least_squares.TestDogbox.test_fun ... ok
test_least_squares.TestDogbox.test_fun_and_jac_inconsistent_dimensions ... ok
test_least_squares.TestDogbox.test_fun_wrong_dimensions ... ok
test_least_squares.TestDogbox.test_grad ... ok
test_least_squares.TestDogbox.test_in_bounds ... ok
test_least_squares.TestDogbox.test_inconsistent ... ok
test_least_squares.TestDogbox.test_inconsistent_shape ... ok
test_least_squares.TestDogbox.test_incorrect_options_usage ... ok
test_least_squares.TestDogbox.test_infeasible ... ok
test_least_squares.TestDogbox.test_jac ... ok
test_least_squares.TestDogbox.test_jac_options ... ok
test_least_squares.TestDogbox.test_jac_wrong_dimensions ... ok
test_least_squares.TestDogbox.test_linear_operator ... ok
test_least_squares.TestDogbox.test_nfev_options ... ok
test_least_squares.TestDogbox.test_numerical_jac ... ok
test_least_squares.TestDogbox.test_options ... ok
test_least_squares.TestDogbox.test_robustness ... ok
test_least_squares.TestDogbox.test_rosenbrock ... ok
test_least_squares.TestDogbox.test_rosenbrock_bounds ... ok
test_least_squares.TestDogbox.test_rosenbrock_cropped ... ok
test_least_squares.TestDogbox.test_solver_selection ... ok
test_least_squares.TestDogbox.test_tr_options ... ok
test_least_squares.TestDogbox.test_with_bounds ... ok
test_least_squares.TestDogbox.test_wrong_jac_sparsity ... ok
test_least_squares.TestDogbox.test_wrong_number ... ok
test_least_squares.TestDogbox.test_wrong_parameters ... ok
test_least_squares.TestDogbox.test_x0_multidimensional ... ok
test_least_squares.TestDogbox.test_x_scale_jac_scale ... ok
test_least_squares.TestDogbox.test_x_scale_options ... ok
test_least_squares.TestLM.test_LinearOperator_not_supported ... ok
test_least_squares.TestLM.test_args_kwargs ... ok
test_least_squares.TestLM.test_basic ... ok
test_least_squares.TestLM.test_bounds_not_supported ... ok
test_least_squares.TestLM.test_bvp ... ok
test_least_squares.TestLM.test_diff_step ... ok
test_least_squares.TestLM.test_full_result ... ok
test_least_squares.TestLM.test_full_result_single_fev ... ok
test_least_squares.TestLM.test_fun_and_jac_inconsistent_dimensions ... ok
test_least_squares.TestLM.test_fun_wrong_dimensions ... ok
test_least_squares.TestLM.test_incorrect_options_usage ... ok
test_least_squares.TestLM.test_jac_options ... ok
test_least_squares.TestLM.test_jac_sparsity_not_supported ... ok
test_least_squares.TestLM.test_jac_wrong_dimensions ... ok
test_least_squares.TestLM.test_loss ... ok
test_least_squares.TestLM.test_m_less_n_not_supported ... ok
test_least_squares.TestLM.test_nfev_options ... ok
test_least_squares.TestLM.test_rosenbrock ... ok
test_least_squares.TestLM.test_rosenbrock_cropped ... ok
test_least_squares.TestLM.test_sparse_not_supported ... ok
test_least_squares.TestLM.test_x0_multidimensional ... ok
test_least_squares.TestLM.test_x_scale_options ... ok
test_least_squares.TestTRF.test_args_kwargs ... ok
test_least_squares.TestTRF.test_basic ... ok
test_least_squares.TestTRF.test_bounds_shape ... ok
test_least_squares.TestTRF.test_bvp ... ok
test_least_squares.TestTRF.test_diff_step ... ok
test_least_squares.TestTRF.test_equivalence ... ok
test_least_squares.TestTRF.test_exact_tr_solver ... ok
test_least_squares.TestTRF.test_full_result ... ok
test_least_squares.TestTRF.test_full_result_single_fev ... ok
test_least_squares.TestTRF.test_fun ... ok
test_least_squares.TestTRF.test_fun_and_jac_inconsistent_dimensions ... ok
test_least_squares.TestTRF.test_fun_wrong_dimensions ... ok
test_least_squares.TestTRF.test_grad ... ok
test_least_squares.TestTRF.test_in_bounds ... ok
test_least_squares.TestTRF.test_inconsistent ... ok
test_least_squares.TestTRF.test_inconsistent_shape ... ok
test_least_squares.TestTRF.test_incorrect_options_usage ... ok
test_least_squares.TestTRF.test_infeasible ... ok
test_least_squares.TestTRF.test_jac ... ok
test_least_squares.TestTRF.test_jac_options ... ok
test_least_squares.TestTRF.test_jac_wrong_dimensions ... ok
test_least_squares.TestTRF.test_linear_operator ... ok
test_least_squares.TestTRF.test_lsmr_regularization ... ok
test_least_squares.TestTRF.test_nfev_options ... ok
test_least_squares.TestTRF.test_numerical_jac ... ok
test_least_squares.TestTRF.test_options ... ok
test_least_squares.TestTRF.test_robustness ... ok
test_least_squares.TestTRF.test_rosenbrock ... ok
test_least_squares.TestTRF.test_rosenbrock_bounds ... ok
test_least_squares.TestTRF.test_rosenbrock_cropped ... ok
test_least_squares.TestTRF.test_solver_selection ... ok
test_least_squares.TestTRF.test_tr_options ... ok
test_least_squares.TestTRF.test_with_bounds ... ok
test_least_squares.TestTRF.test_wrong_jac_sparsity ... ok
test_least_squares.TestTRF.test_wrong_number ... ok
test_least_squares.TestTRF.test_wrong_parameters ... ok
test_least_squares.TestTRF.test_x0_multidimensional ... ok
test_least_squares.TestTRF.test_x_scale_jac_scale ... ok
test_least_squares.TestTRF.test_x_scale_options ... ok
test_least_squares.test_basic ... ok
test_linesearch.TestLineSearch.test_armijo_terminate_1 ... ok
test_linesearch.TestLineSearch.test_line_search_armijo ... ok
test_linesearch.TestLineSearch.test_line_search_wolfe1 ... ok
test_linesearch.TestLineSearch.test_line_search_wolfe2 ... ok
test_linesearch.TestLineSearch.test_scalar_search_armijo ... ok
test_linesearch.TestLineSearch.test_scalar_search_wolfe1 ... ok
test_linesearch.TestLineSearch.test_scalar_search_wolfe2 ... ok
test_linesearch.TestLineSearch.test_wolfe_terminate ... ok
test_linprog.test_aliasing_b_ub ... ok
test_linprog.test_aliasing_b_eq ... ok
test_linprog.test_bounds_second_form_unbounded_below ... ok
test_linprog.test_bounds_second_form_unbounded_above ... ok
test_linprog.test_non_ndarray_args ... ok
test_linprog.test_linprog_upper_bound_constraints ... ok
test_linprog.test_linprog_mixed_constraints ... ok
test_linprog.test_linprog_cyclic_recovery ... ok
test_linprog.test_linprog_cyclic_bland ... ok
test_linprog.test_linprog_unbounded ... ok
test_linprog.test_linprog_infeasible ... ok
test_linprog.test_nontrivial_problem ... ok
test_linprog.test_negative_variable ... ok
test_linprog.test_large_problem ... ok
test_linprog.test_network_flow ... ok
test_linprog.test_network_flow_limited_capacity ... ok
test_linprog.test_simplex_algorithm_wikipedia_example ... ok
test_linprog.test_enzo_example ... ok
test_linprog.test_enzo_example_b ... ok
test_linprog.test_enzo_example_c_with_degeneracy ... ok
test_linprog.test_enzo_example_c_with_unboundedness ... ok
test_linprog.test_enzo_example_c_with_infeasibility ... ok
test_linprog.test_callback ... ok
test_linprog.test_unknown_options_or_solver ... ok
test_linprog.test_no_constraints ... ok
test_linprog.test_simple_bounds ... ok
test_linprog.test_invalid_inputs ... ok
test_linprog.test_basic_artificial_vars ... ok
test_lsq_common.TestBounds.test_find_active_constraints ... ok
test_lsq_common.TestBounds.test_make_strictly_feasible ... ok
test_lsq_common.TestBounds.test_scaling_vector ... ok
test_lsq_common.TestBounds.test_step_size_to_bounds ... ok
test_lsq_common.TestQuadraticFunction.test_build_quadratic_1d ... ok
test_lsq_common.TestQuadraticFunction.test_evaluate_quadratic ... ok
test_lsq_common.TestQuadraticFunction.test_minimize_quadratic_1d ... ok
test_lsq_common.TestTrustRegion.test_intersect ... ok
test_lsq_common.test_reflective_transformation ... ok
test_lsq_linear.TestBVLS.test_dense_bounds ... ok
test_lsq_linear.TestBVLS.test_dense_no_bounds ... ok
test_lsq_linear.TestBVLS.test_dense_rank_deficient ... ok
test_lsq_linear.TestBVLS.test_full_result ... ok
test_lsq_linear.TestTRF.test_dense_bounds ... ok
test_lsq_linear.TestTRF.test_dense_no_bounds ... ok
test_lsq_linear.TestTRF.test_dense_rank_deficient ... ok
test_lsq_linear.TestTRF.test_full_result ... ok
test_lsq_linear.TestTRF.test_sparse_and_LinearOperator ... ok
test_lsq_linear.TestTRF.test_sparse_bounds ... ok
test_NaN_handling (test_minpack.TestCurveFit) ... ok
test_array_like (test_minpack.TestCurveFit) ... ok
test_bounds (test_minpack.TestCurveFit) ... ok
test_bounds_p0 (test_minpack.TestCurveFit) ... ok
test_func_is_classmethod (test_minpack.TestCurveFit) ... ok
test_indeterminate_covariance (test_minpack.TestCurveFit) ... ok
test_jac (test_minpack.TestCurveFit) ... ok
test_method_argument (test_minpack.TestCurveFit) ... ok
test_one_argument (test_minpack.TestCurveFit) ... ok
test_pcov (test_minpack.TestCurveFit) ... ok
test_regression_2639 (test_minpack.TestCurveFit) ... ok
test_two_argument (test_minpack.TestCurveFit) ... ok
test_float32 (test_minpack.TestFSolve) ... ok
test_pressure_network_no_gradient (test_minpack.TestFSolve) ... ok
test_pressure_network_with_gradient (test_minpack.TestFSolve) ... ok
test_wrong_shape_fprime_callable (test_minpack.TestFSolve) ... ok
test_wrong_shape_fprime_function (test_minpack.TestFSolve) ... ok
test_wrong_shape_func_callable (test_minpack.TestFSolve) ... ok
test_wrong_shape_func_function (test_minpack.TestFSolve) ... ok
test_array_basic1 (test_minpack.TestFixedPoint) ... ok
test_array_basic2 (test_minpack.TestFixedPoint) ... ok
test_array_trivial (test_minpack.TestFixedPoint) ... ok
test_lambertw (test_minpack.TestFixedPoint) ... ok
test_no_acceleration (test_minpack.TestFixedPoint) ... ok
test_scalar_basic1 (test_minpack.TestFixedPoint) ... ok
test_scalar_basic2 (test_minpack.TestFixedPoint) ... ok
test_scalar_trivial (test_minpack.TestFixedPoint) ... ok
test_basic (test_minpack.TestLeastSq) ... ok
test_float32 (test_minpack.TestLeastSq) ... ok
test_full_output (test_minpack.TestLeastSq) ... ok
test_input_untouched (test_minpack.TestLeastSq) ... ok
test_wrong_shape_Dfun_callable (test_minpack.TestLeastSq) ... ok
test_wrong_shape_Dfun_function (test_minpack.TestLeastSq) ... ok
test_wrong_shape_func_callable (test_minpack.TestLeastSq) ... ok
test_wrong_shape_func_function (test_minpack.TestLeastSq) ... ok
test_pressure_network_no_gradient (test_minpack.TestRootHybr) ... ok
test_pressure_network_with_gradient (test_minpack.TestRootHybr) ... ok
test_pressure_network_with_gradient_combined (test_minpack.TestRootHybr) ... ok
test_pressure_network_no_gradient (test_minpack.TestRootLM) ... ok
test_nnls (test_nnls.TestNNLS) ... ok
test_nonlin.TestJacobianDotSolve.test_anderson ... ok
test_nonlin.TestJacobianDotSolve.test_broyden1 ... ok
test_nonlin.TestJacobianDotSolve.test_broyden2 ... ok
test_nonlin.TestJacobianDotSolve.test_diagbroyden ... ok
test_nonlin.TestJacobianDotSolve.test_excitingmixing ... ok
test_nonlin.TestJacobianDotSolve.test_krylov ... ok
test_nonlin.TestJacobianDotSolve.test_linearmixing ... ok
test_anderson (test_nonlin.TestLinear) ... ok
test_broyden1 (test_nonlin.TestLinear) ... ok
test_broyden2 (test_nonlin.TestLinear) ... ok
test_krylov (test_nonlin.TestLinear) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F at 0x5c536e0>, <function broyden2 at 0x1dfca28>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F at 0x5c536e0>, <function broyden1 at 0x1dfc938>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F at 0x5c536e0>, <function excitingmixing at 0x1dfccf8>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F at 0x5c536e0>, <function newton_krylov at 0x1dfcd70>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F at 0x5c536e0>, <function anderson at 0x1dfcb18>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F at 0x5c536e0>, <function linearmixing at 0x1dfcc08>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F at 0x5c536e0>, <function diagbroyden at 0x1dfcc80>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F2 at 0x5c53410>, <function broyden2 at 0x1dfca28>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F2 at 0x5c53410>, <function broyden1 at 0x1dfc938>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F2 at 0x5c53410>, <function newton_krylov at 0x1dfcd70>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F2 at 0x5c53410>, <function anderson at 0x1dfcb18>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F2 at 0x5c53410>, <function diagbroyden at 0x1dfcc80>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F2_lucky at 0x5c53578>, <function broyden2 at 0x1dfca28>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F2_lucky at 0x5c53578>, <function broyden1 at 0x1dfc938>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F2_lucky at 0x5c53578>, <function excitingmixing at 0x1dfccf8>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F2_lucky at 0x5c53578>, <function newton_krylov at 0x1dfcd70>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F2_lucky at 0x5c53578>, <function anderson at 0x1dfcb18>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F2_lucky at 0x5c53578>, <function linearmixing at 0x1dfcc08>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F2_lucky at 0x5c53578>, <function diagbroyden at 0x1dfcc80>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F3 at 0x5c53488>, <function broyden2 at 0x1dfca28>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F3 at 0x5c53488>, <function broyden1 at 0x1dfc938>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F3 at 0x5c53488>, <function excitingmixing at 0x1dfccf8>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F3 at 0x5c53488>, <function newton_krylov at 0x1dfcd70>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F3 at 0x5c53488>, <function anderson at 0x1dfcb18>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F3 at 0x5c53488>, <function linearmixing at 0x1dfcc08>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F3 at 0x5c53488>, <function diagbroyden at 0x1dfcc80>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F4_powell at 0x5c53500>, <function broyden2 at 0x1dfca28>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F4_powell at 0x5c53500>, <function broyden1 at 0x1dfc938>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F4_powell at 0x5c53500>, <function newton_krylov at 0x1dfcd70>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F4_powell at 0x5c53500>, <function anderson at 0x1dfcb18>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F5 at 0x5c53230>, <function broyden2 at 0x1dfca28>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F5 at 0x5c53230>, <function broyden1 at 0x1dfc938>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F5 at 0x5c53230>, <function newton_krylov at 0x1dfcd70>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F5 at 0x5c53230>, <function anderson at 0x1dfcb18>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F6 at 0x5c53398>, <function broyden2 at 0x1dfca28>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F6 at 0x5c53398>, <function broyden1 at 0x1dfc938>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F6 at 0x5c53398>, <function newton_krylov at 0x1dfcd70>) ... ok
test_nonlin.TestNonlin.test_problem_nonlin(<function F6 at 0x5c53398>, <function anderson at 0x1dfcb18>) ... ok
test_nonlin.TestNonlin.test_problem_root(<function F at 0x5c536e0>, 'broyden2') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F at 0x5c536e0>, 'broyden1') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F at 0x5c536e0>, 'excitingmixing') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F at 0x5c536e0>, 'krylov') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F at 0x5c536e0>, 'anderson') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F at 0x5c536e0>, 'linearmixing') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F at 0x5c536e0>, 'diagbroyden') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F2 at 0x5c53410>, 'broyden2') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F2 at 0x5c53410>, 'broyden1') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F2 at 0x5c53410>, 'krylov') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F2 at 0x5c53410>, 'anderson') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F2 at 0x5c53410>, 'diagbroyden') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F2_lucky at 0x5c53578>, 'broyden2') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F2_lucky at 0x5c53578>, 'broyden1') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F2_lucky at 0x5c53578>, 'excitingmixing') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F2_lucky at 0x5c53578>, 'krylov') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F2_lucky at 0x5c53578>, 'anderson') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F2_lucky at 0x5c53578>, 'linearmixing') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F2_lucky at 0x5c53578>, 'diagbroyden') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F3 at 0x5c53488>, 'broyden2') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F3 at 0x5c53488>, 'broyden1') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F3 at 0x5c53488>, 'excitingmixing') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F3 at 0x5c53488>, 'krylov') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F3 at 0x5c53488>, 'anderson') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F3 at 0x5c53488>, 'linearmixing') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F3 at 0x5c53488>, 'diagbroyden') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F4_powell at 0x5c53500>, 'broyden2') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F4_powell at 0x5c53500>, 'broyden1') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F4_powell at 0x5c53500>, 'krylov') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F4_powell at 0x5c53500>, 'anderson') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F5 at 0x5c53230>, 'broyden2') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F5 at 0x5c53230>, 'broyden1') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F5 at 0x5c53230>, 'krylov') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F5 at 0x5c53230>, 'anderson') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F6 at 0x5c53398>, 'broyden2') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F6 at 0x5c53398>, 'broyden1') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F6 at 0x5c53398>, 'krylov') ... ok
test_nonlin.TestNonlin.test_problem_root(<function F6 at 0x5c53398>, 'anderson') ... ok
test_nonlin.TestNonlin.test_tol_norm_called ... ok
test_anderson (test_nonlin.TestNonlinOldTests) ... ok
test_broyden1 (test_nonlin.TestNonlinOldTests) ... ok
test_broyden2 (test_nonlin.TestNonlinOldTests) ... ok
test_diagbroyden (test_nonlin.TestNonlinOldTests) ... ok
test_exciting (test_nonlin.TestNonlinOldTests) ... ok
test_linearmixing (test_nonlin.TestNonlinOldTests) ... ok
test_root_anderson (test_nonlin.TestNonlinOldTests) ... ok
test_root_broyden1 (test_nonlin.TestNonlinOldTests) ... ok
test_root_broyden2 (test_nonlin.TestNonlinOldTests) ... ok
test_root_diagbroyden (test_nonlin.TestNonlinOldTests) ... ok
test_root_excitingmixing (test_nonlin.TestNonlinOldTests) ... ok
test_root_linearmixing (test_nonlin.TestNonlinOldTests) ... ok
test_anderson (test_nonlin.TestSecant) ... ok
test_broyden1 (test_nonlin.TestSecant) ... ok
test_broyden1_update (test_nonlin.TestSecant) ... ok
test_broyden2 (test_nonlin.TestSecant) ... ok
test_broyden2_update (test_nonlin.TestSecant) ... ok
test_optimize.TestBrute.test_brute ... ok
test_neldermead_limit (test_optimize.TestIterationLimits) ... ok
test_powell_limit (test_optimize.TestIterationLimits) ... ok
test_l_bfgs_b_bounds (test_optimize.TestLBFGSBBounds) ... ok
test_l_bfgs_b_funjac (test_optimize.TestLBFGSBBounds) ... ok
test_minimize_l_bfgs_b_bounds (test_optimize.TestLBFGSBBounds) ... ok
test_optimize.TestNewtonCg.test_himmelblau ... ok
test_optimize.TestNewtonCg.test_rosenbrock ... ok
test_optimize.TestOptimizeNoWrapperDisp.test_bfgs ... ok
test_optimize.TestOptimizeNoWrapperDisp.test_bfgs_infinite ... ok
test_optimize.TestOptimizeNoWrapperDisp.test_cg ... ok
test_optimize.TestOptimizeNoWrapperDisp.test_ncg ... ok
test_optimize.TestOptimizeNoWrapperDisp.test_ncg_hess ... ok
test_optimize.TestOptimizeNoWrapperDisp.test_ncg_hessp ... ok
test_optimize.TestOptimizeNoWrapperDisp.test_neldermead ... ok
test_optimize.TestOptimizeNoWrapperDisp.test_neldermead_initial_simplex ... ok
test_optimize.TestOptimizeNoWrapperDisp.test_neldermead_initial_simplex_bad ... ok
test_optimize.TestOptimizeNoWrapperDisp.test_powell ... ok
test_optimize.TestOptimizeNoWrapperNoDisp.test_bfgs ... ok
test_optimize.TestOptimizeNoWrapperNoDisp.test_bfgs_infinite ... ok
test_optimize.TestOptimizeNoWrapperNoDisp.test_cg ... ok
test_optimize.TestOptimizeNoWrapperNoDisp.test_ncg ... ok
test_optimize.TestOptimizeNoWrapperNoDisp.test_ncg_hess ... ok
test_optimize.TestOptimizeNoWrapperNoDisp.test_ncg_hessp ... ok
test_optimize.TestOptimizeNoWrapperNoDisp.test_neldermead ... ok
test_optimize.TestOptimizeNoWrapperNoDisp.test_neldermead_initial_simplex ... ok
test_optimize.TestOptimizeNoWrapperNoDisp.test_neldermead_initial_simplex_bad ... ok
test_optimize.TestOptimizeNoWrapperNoDisp.test_powell ... ok
test_attributes_present (test_optimize.TestOptimizeResultAttributes) ... ok
test_brent (test_optimize.TestOptimizeScalar) ... ok
test_fminbound (test_optimize.TestOptimizeScalar) ... ok
test_fminbound_scalar (test_optimize.TestOptimizeScalar) ... ok
test_golden (test_optimize.TestOptimizeScalar) ... ok
test_minimize_scalar (test_optimize.TestOptimizeScalar) ... ok
test_minimize_scalar_coerce_args_param (test_optimize.TestOptimizeScalar) ... ok
test_minimize_scalar_custom (test_optimize.TestOptimizeScalar) ... ok
test_optimize.TestOptimizeSimple.test_bfgs_gh_2169 ... ok
test_optimize.TestOptimizeSimple.test_bfgs_nan ... ok
test_optimize.TestOptimizeSimple.test_bfgs_nan_return ... ok
test_optimize.TestOptimizeSimple.test_bfgs_numerical_jacobian ... ok
test_optimize.TestOptimizeSimple.test_custom ... ok
test_optimize.TestOptimizeSimple.test_initial_step_scaling ... ok
test_optimize.TestOptimizeSimple.test_l_bfgs_b ... ok
test_optimize.TestOptimizeSimple.test_l_bfgs_b_funjac ... ok
test_optimize.TestOptimizeSimple.test_l_bfgs_b_numjac ... ok
test_optimize.TestOptimizeSimple.test_minimize_automethod ... ok
test_optimize.TestOptimizeSimple.test_minimize_coerce_args_param ... ok
test_optimize.TestOptimizeSimple.test_minimize_l_bfgs_b ... ok
test_optimize.TestOptimizeSimple.test_minimize_l_bfgs_b_ftol ... ok
test_optimize.TestOptimizeSimple.test_minimize_l_bfgs_b_maxfun_interruption ... ok
test_optimize.TestOptimizeSimple.test_minimize_l_bfgs_maxls ... ok
test_optimize.TestOptimizeSimple.test_minimize_tol_parameter ... ok
test_optimize.TestOptimizeSimple.test_no_increase('nelder-mead',) ... ok
test_optimize.TestOptimizeSimple.test_no_increase('powell',) ... ok
test_optimize.TestOptimizeSimple.test_no_increase('cg',) ... ok
test_optimize.TestOptimizeSimple.test_no_increase('bfgs',) ... ok
test_optimize.TestOptimizeSimple.test_no_increase('newton-cg',) ... ok
test_optimize.TestOptimizeSimple.test_no_increase('l-bfgs-b',) ... ok
test_optimize.TestOptimizeSimple.test_no_increase('tnc',) ... ok
test_optimize.TestOptimizeSimple.test_no_increase('cobyla',) ... ok
test_optimize.TestOptimizeSimple.test_no_increase('slsqp',) ... KNOWNFAIL: SLSQP returns slightly worse
test_optimize.TestOptimizeSimple.test_slsqp_respect_bounds ... ok
test_optimize.TestOptimizeWrapperDisp.test_bfgs ... ok
test_optimize.TestOptimizeWrapperDisp.test_bfgs_infinite ... ok
test_optimize.TestOptimizeWrapperDisp.test_cg ... ok
test_optimize.TestOptimizeWrapperDisp.test_ncg ... ok
test_optimize.TestOptimizeWrapperDisp.test_ncg_hess ... ok
test_optimize.TestOptimizeWrapperDisp.test_ncg_hessp ... ok
test_optimize.TestOptimizeWrapperDisp.test_neldermead ... ok
test_optimize.TestOptimizeWrapperDisp.test_neldermead_initial_simplex ... ok
test_optimize.TestOptimizeWrapperDisp.test_neldermead_initial_simplex_bad ... ok
test_optimize.TestOptimizeWrapperDisp.test_powell ... ok
test_optimize.TestOptimizeWrapperNoDisp.test_bfgs ... ok
test_optimize.TestOptimizeWrapperNoDisp.test_bfgs_infinite ... ok
test_optimize.TestOptimizeWrapperNoDisp.test_cg ... ok
test_optimize.TestOptimizeWrapperNoDisp.test_ncg ... ok
test_optimize.TestOptimizeWrapperNoDisp.test_ncg_hess ... ok
test_optimize.TestOptimizeWrapperNoDisp.test_ncg_hessp ... ok
test_optimize.TestOptimizeWrapperNoDisp.test_neldermead ... ok
test_optimize.TestOptimizeWrapperNoDisp.test_neldermead_initial_simplex ... ok
test_optimize.TestOptimizeWrapperNoDisp.test_neldermead_initial_simplex_bad ... ok
test_optimize.TestOptimizeWrapperNoDisp.test_powell ... ok
test_hess (test_optimize.TestRosen) ... ok
test_optimize.test_check_grad ... ok
test_optimize.test_neldermead_xatol_fatol ... ok
test_optimize.test_brent_negative_tolerance ... ok
test_optimize.test_minimize_multiple_constraints ... ok
test_lmdif_errmsg (test_regression.TestRegression) ... ok
test_newton_integers (test_regression.TestRegression) ... ok
test_newton_x0_is_0 (test_regression.TestRegression) ... ok
test_bound_equality_given2 (test_slsqp.TestSLSQP) ... ok
test_callback (test_slsqp.TestSLSQP) ... ok
test_equality_approximated (test_slsqp.TestSLSQP) ... ok
test_equality_given (test_slsqp.TestSLSQP) ... ok
test_equality_given2 (test_slsqp.TestSLSQP) ... ok
test_inconsistent_linearization (test_slsqp.TestSLSQP) ... ok
test_inequality_given (test_slsqp.TestSLSQP) ... ok
test_integer_bounds (test_slsqp.TestSLSQP) ... ok
test_minimize_bound_equality_given2 (test_slsqp.TestSLSQP) ... ok
test_minimize_bounded_approximated (test_slsqp.TestSLSQP) ... ok
test_minimize_equality_approximated (test_slsqp.TestSLSQP) ... ok
test_minimize_equality_given (test_slsqp.TestSLSQP) ... ok
test_minimize_equality_given2 (test_slsqp.TestSLSQP) ... ok
test_minimize_equality_given_cons_scalar (test_slsqp.TestSLSQP) ... ok
test_minimize_inequality_given (test_slsqp.TestSLSQP) ... ok
test_minimize_inequality_given_vector_constraints (test_slsqp.TestSLSQP) ... ok
test_minimize_unbounded_approximated (test_slsqp.TestSLSQP) ... ok
test_minimize_unbounded_combined (test_slsqp.TestSLSQP) ... ok
test_minimize_unbounded_given (test_slsqp.TestSLSQP) ... ok
test_regression_5743 (test_slsqp.TestSLSQP) ... KNOWNFAIL: This bug is not fixed [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_scalar_constraints (test_slsqp.TestSLSQP) ... ok
test_unbounded_approximated (test_slsqp.TestSLSQP) ... ok
test_unbounded_given (test_slsqp.TestSLSQP) ... ok
test_minimize_tnc1 (test_tnc.TestTnc) ... ok
test_minimize_tnc1b (test_tnc.TestTnc) ... ok
test_minimize_tnc1c (test_tnc.TestTnc) ... ok
test_minimize_tnc2 (test_tnc.TestTnc) ... ok
test_minimize_tnc3 (test_tnc.TestTnc) ... ok
test_minimize_tnc38 (test_tnc.TestTnc) ... ok
test_minimize_tnc4 (test_tnc.TestTnc) ... ok
test_minimize_tnc45 (test_tnc.TestTnc) ... ok
test_minimize_tnc5 (test_tnc.TestTnc) ... ok
test_tnc1 (test_tnc.TestTnc) ... ok
test_tnc1b (test_tnc.TestTnc) ... ok
test_tnc1c (test_tnc.TestTnc) ... ok
test_tnc2 (test_tnc.TestTnc) ... ok
test_tnc3 (test_tnc.TestTnc) ... ok
test_tnc38 (test_tnc.TestTnc) ... ok
test_tnc4 (test_tnc.TestTnc) ... ok
test_tnc45 (test_tnc.TestTnc) ... ok
test_tnc5 (test_tnc.TestTnc) ... ok
test_dogleg_accuracy (test_trustregion.TestTrustRegionSolvers) ... ok
test_dogleg_callback (test_trustregion.TestTrustRegionSolvers) ... ok
test_solver_concordance (test_trustregion.TestTrustRegionSolvers) ... ok
test_trust_ncg_hessp (test_trustregion.TestTrustRegionSolvers) ... ok
test_bisect (test_zeros.TestBasic) ... ok
test_brenth (test_zeros.TestBasic) ... ok
test_brentq (test_zeros.TestBasic) ... ok
test_deriv_zero_warning (test_zeros.TestBasic) ... ok
test_newton (test_zeros.TestBasic) ... ok
test_ridder (test_zeros.TestBasic) ... ok
test_zeros.TestRootResults.test_repr ... ok
test_zeros.test_gh_5555 ... ok
test_zeros.test_gh_5557 ... ok
test_axis_reverse (test_array_tools.TestArrayTools) ... ok
test_axis_slice (test_array_tools.TestArrayTools) ... ok
test_const_ext (test_array_tools.TestArrayTools) ... ok
test_even_ext (test_array_tools.TestArrayTools) ... ok
test_odd_ext (test_array_tools.TestArrayTools) ... ok
test_backward_diff (test_cont2discrete.TestC2D) ... ok
test_bilinear (test_cont2discrete.TestC2D) ... ok
Test that the solution to the discrete approximation of a continuous ... ok
test_euler (test_cont2discrete.TestC2D) ... ok
test_gbt (test_cont2discrete.TestC2D) ... ok
Test method='gbt' with alpha=0.25 for tf and zpk cases. ... ok
test_multioutput (test_cont2discrete.TestC2D) ... ok
test_simo_tf (test_cont2discrete.TestC2D) ... ok
test_transferfunction (test_cont2discrete.TestC2D) ... ok
test_zerospolesgain (test_cont2discrete.TestC2D) ... ok
test_zoh (test_cont2discrete.TestC2D) ... ok
test_c2d_ss (test_cont2discrete.TestC2dLti) ... ok
test_c2d_tf (test_cont2discrete.TestC2dLti) ... ok
test_dimpulse (test_dltisys.TestDLTI) ... ok
test_dlsim (test_dltisys.TestDLTI) ... ok
test_dlsim_simple1d (test_dltisys.TestDLTI) ... ok
test_dlsim_simple2d (test_dltisys.TestDLTI) ... ok
test_dlsim_trivial (test_dltisys.TestDLTI) ... ok
test_dstep (test_dltisys.TestDLTI) ... ok
test_more_step_and_impulse (test_dltisys.TestDLTI) ... ok
test_dltisys.TestDlti.test_dlti_instantiation ... ok
test_dltisys.TestStateSpaceDisc.test_conversion ... ok
test_dltisys.TestStateSpaceDisc.test_initialization ... ok
test_dltisys.TestStateSpaceDisc.test_properties ... ok
test_dltisys.TestTransferFunction.test_conversion ... ok
test_dltisys.TestTransferFunction.test_initialization ... ok
test_dltisys.TestTransferFunction.test_properties ... ok
test_dltisys.TestTransferFunctionZConversion.test_denominator ... ok
test_dltisys.TestTransferFunctionZConversion.test_full ... ok
test_dltisys.TestTransferFunctionZConversion.test_numerator ... ok
test_dltisys.TestZerosPolesGain.test_conversion ... ok
test_dltisys.TestZerosPolesGain.test_initialization ... ok
test_dltisys.TestZerosPolesGain.test_properties ... ok
test_dltisys.Test_bode.test_auto ... ok
test_dltisys.Test_bode.test_error ... ok
test_dltisys.Test_bode.test_imaginary ... ok
test_dltisys.Test_bode.test_manual ... ok
test_dltisys.Test_bode.test_pole_one ... ok
test_dltisys.Test_bode.test_range ... ok
test_auto (test_dltisys.Test_dfreqresp) ... ok
test_error (test_dltisys.Test_dfreqresp) ... ok
test_freq_range (test_dltisys.Test_dfreqresp) ... ok
test_manual (test_dltisys.Test_dfreqresp) ... ok
test_pole_one (test_dltisys.Test_dfreqresp) ... ok
test_bessel_poly (test_filter_design.TestBessel) ... ok
test_bessel_zeros (test_filter_design.TestBessel) ... ok
test_degenerate (test_filter_design.TestBessel) ... ok
test_hardcoded (test_filter_design.TestBessel) ... ok
test_high_order (test_filter_design.TestBessel) ... ok
test_invalid (test_filter_design.TestBessel) ... ok
test_norm_delay (test_filter_design.TestBessel) ... ok
test_norm_factor (test_filter_design.TestBessel) ... ok
test_norm_mag (test_filter_design.TestBessel) ... ok
test_norm_phase (test_filter_design.TestBessel) ... ok
test_refs (test_filter_design.TestBessel) ... ok
test_basic (test_filter_design.TestBilinear) ... ok
test_ba_output (test_filter_design.TestButter) ... ok
test_bandpass (test_filter_design.TestButter) ... ok
test_bandstop (test_filter_design.TestButter) ... ok
test_basic (test_filter_design.TestButter) ... ok
test_degenerate (test_filter_design.TestButter) ... ok
test_highpass (test_filter_design.TestButter) ... ok
test_analog (test_filter_design.TestButtord) ... ok
test_bandpass (test_filter_design.TestButtord) ... ok
test_bandstop (test_filter_design.TestButtord) ... ok
test_highpass (test_filter_design.TestButtord) ... ok
test_lowpass (test_filter_design.TestButtord) ... ok
test_analog (test_filter_design.TestCheb1ord) ... ok
test_bandpass (test_filter_design.TestCheb1ord) ... ok
test_bandstop (test_filter_design.TestCheb1ord) ... ok
test_highpass (test_filter_design.TestCheb1ord) ... ok
test_lowpass (test_filter_design.TestCheb1ord) ... ok
test_analog (test_filter_design.TestCheb2ord) ... ok
test_bandpass (test_filter_design.TestCheb2ord) ... ok
test_bandstop (test_filter_design.TestCheb2ord) ... ok
test_highpass (test_filter_design.TestCheb2ord) ... ok
test_lowpass (test_filter_design.TestCheb2ord) ... ok
test_ba_output (test_filter_design.TestCheby1) ... ok
test_bandpass (test_filter_design.TestCheby1) ... ok
test_bandstop (test_filter_design.TestCheby1) ... ok
test_basic (test_filter_design.TestCheby1) ... ok
test_degenerate (test_filter_design.TestCheby1) ... ok
test_highpass (test_filter_design.TestCheby1) ... ok
test_ba_output (test_filter_design.TestCheby2) ... ok
test_bandpass (test_filter_design.TestCheby2) ... ok
test_bandstop (test_filter_design.TestCheby2) ... ok
test_basic (test_filter_design.TestCheby2) ... ok
test_degenerate (test_filter_design.TestCheby2) ... ok
test_highpass (test_filter_design.TestCheby2) ... ok
test_output_order (test_filter_design.TestCplxPair) ... ok
test_real_integer_input (test_filter_design.TestCplxPair) ... ok
test_tolerances (test_filter_design.TestCplxPair) ... ok
test_trivial_input (test_filter_design.TestCplxPair) ... ok
test_unmatched_conjugates (test_filter_design.TestCplxPair) ... ok
test_output_order (test_filter_design.TestCplxReal) ... ok
test_real_integer_input (test_filter_design.TestCplxReal) ... ok
test_trivial_input (test_filter_design.TestCplxReal) ... ok
test_unmatched_conjugates (test_filter_design.TestCplxReal) ... ok
test_ba_output (test_filter_design.TestEllip) ... ok
test_bandpass (test_filter_design.TestEllip) ... ok
test_bandstop (test_filter_design.TestEllip) ... ok
test_basic (test_filter_design.TestEllip) ... ok
test_degenerate (test_filter_design.TestEllip) ... ok
test_highpass (test_filter_design.TestEllip) ... ok
test_analog (test_filter_design.TestEllipord) ... ok
test_bandpass (test_filter_design.TestEllipord) ... ok
test_bandstop (test_filter_design.TestEllipord) ... ok
test_highpass (test_filter_design.TestEllipord) ... ok
test_lowpass (test_filter_design.TestEllipord) ... ok
test_basic (test_filter_design.TestFreqz) ... ok
test_basic_whole (test_filter_design.TestFreqz) ... ok
test_plot (test_filter_design.TestFreqz) ... ok
Regression test for ticket 1441. ... ok
test_fir (test_filter_design.TestGroupDelay) ... ok
test_identity_filter (test_filter_design.TestGroupDelay) ... ok
test_iir (test_filter_design.TestGroupDelay) ... ok
test_singular (test_filter_design.TestGroupDelay) ... ok
test_int_inputs (test_filter_design.TestIIRFilter) ... ok
test_invalid_wn_range (test_filter_design.TestIIRFilter) ... ok
test_invalid_wn_size (test_filter_design.TestIIRFilter) ... ok
test_symmetry (test_filter_design.TestIIRFilter) ... ok
test_basic (test_filter_design.TestLp2bp) ... ok
test_basic (test_filter_design.TestLp2bs) ... ok
test_basic (test_filter_design.TestLp2hp) ... ok
test_basic (test_filter_design.TestLp2lp) ... ok
Test for false positive on allclose in normalize() in ... ok
test_output_type (test_filter_design.TestPrototypeType) ... ok
test_basic (test_filter_design.TestSos2Tf) ... ok
test_basic (test_filter_design.TestSos2Zpk) ... ok
test_basic (test_filter_design.TestTf2Sos) ... ok
Regression test for #651: better handling of badly conditioned ... ok
test_simple (test_filter_design.TestTf2zpk) ... ok
test_basic (test_filter_design.TestZpk2Sos) ... ok
Test the identity transfer function. ... ok
test_filter_design.test_sos_consistency ... ok
Test that invalid cutoff argument raises ValueError. ... ok
test_bandpass (test_fir_filter_design.TestFirWinMore) ... ok
Test that attempt to create a highpass filter with an even number ... ok
test_highpass (test_fir_filter_design.TestFirWinMore) ... ok
test_lowpass (test_fir_filter_design.TestFirWinMore) ... ok
test_multi (test_fir_filter_design.TestFirWinMore) ... ok
Test the nyq keyword. ... ok
test_bad_args (test_fir_filter_design.TestFirls) ... ok
test_compare (test_fir_filter_design.TestFirls) ... ok
test_firls (test_fir_filter_design.TestFirls) ... ok
test_response (test_fir_filter_design.TestFirwin) ... ok
For one lowpass, bandpass, and highpass example filter, this test ... ok
test01 (test_fir_filter_design.TestFirwin2) ... ok
test02 (test_fir_filter_design.TestFirwin2) ... ok
test03 (test_fir_filter_design.TestFirwin2) ... ok
Test firwin2 when window=None. ... ok
Test firwin2 for calculating Type IV filters ... ok
Test firwin2 for calculating Type III filters ... ok
test_invalid_args (test_fir_filter_design.TestFirwin2) ... ok
test_nyq (test_fir_filter_design.TestFirwin2) ... ok
test_bad_args (test_fir_filter_design.TestRemez) ... ok
test_hilbert (test_fir_filter_design.TestRemez) ... ok
test_fir_filter_design.test_kaiser_beta ... ok
test_fir_filter_design.test_kaiser_atten ... ok
test_fir_filter_design.test_kaiserord ... ok
test_ltisys.TestImpulse.test_01 ... ok
test_ltisys.TestImpulse.test_02 ... ok
test_ltisys.TestImpulse.test_03 ... ok
test_ltisys.TestImpulse.test_04 ... ok
test_ltisys.TestImpulse.test_05 ... ok
test_ltisys.TestImpulse.test_06 ... ok
test_ltisys.TestImpulse.test_array_like ... ok
test_ltisys.TestImpulse.test_array_like2 ... ok
test_ltisys.TestImpulse2.test_01 ... ok
test_ltisys.TestImpulse2.test_02 ... ok
test_ltisys.TestImpulse2.test_03 ... ok
test_ltisys.TestImpulse2.test_04 ... ok
test_ltisys.TestImpulse2.test_05 ... ok
test_ltisys.TestImpulse2.test_06 ... ok
test_ltisys.TestImpulse2.test_array_like ... ok
test_ltisys.TestImpulse2.test_array_like2 ... ok
test_ltisys.TestLsim.test_double_integrator ... ok
test_ltisys.TestLsim.test_first_order ... ok
test_ltisys.TestLsim.test_integrator ... ok
test_ltisys.TestLsim.test_jordan_block ... ok
test_ltisys.TestLsim.test_miso ... ok
test_ltisys.TestLsim.test_nonzero_initial_time ... ok
test_ltisys.TestLti.test_lti_instantiation ... ok
test_complex (test_ltisys.TestPlacePoles) ... ok
test_errors (test_ltisys.TestPlacePoles) ... ok
test_real (test_ltisys.TestPlacePoles) ... ok
test_tricky_B (test_ltisys.TestPlacePoles) ... ok
test_ltisys.TestSS2TF.test_basic ... ok
test_ltisys.TestSS2TF.test_multioutput ... ok
test_ltisys.TestSS2TF.test_shapes(3, 3, 3) ... ok
test_ltisys.TestSS2TF.test_shapes(1, 3, 3) ... ok
test_ltisys.TestSS2TF.test_shapes(1, 1, 1) ... ok
test_ltisys.TestSS2TF.test_simo_round_trip ... ok
test_ltisys.TestSS2TF.test_zero_order_round_trip ... ok
test_ltisys.TestStateSpace.test_conversion ... ok
test_ltisys.TestStateSpace.test_initialization ... ok
test_ltisys.TestStateSpace.test_properties ... ok
test_ltisys.TestStep.test_01 ... ok
test_ltisys.TestStep.test_02 ... ok
test_ltisys.TestStep.test_03 ... ok
test_ltisys.TestStep.test_04 ... ok
test_ltisys.TestStep.test_05 ... ok
test_ltisys.TestStep.test_06 ... ok
test_ltisys.TestStep.test_array_like ... ok
test_ltisys.TestStep.test_complex_input ... ok
test_ltisys.TestStep2.test_01 ... ok
test_ltisys.TestStep2.test_02 ... ok
test_ltisys.TestStep2.test_03 ... ok
test_ltisys.TestStep2.test_04 ... ok
test_ltisys.TestStep2.test_05 ... ok
test_ltisys.TestStep2.test_06 ... ok
test_ltisys.TestStep2.test_array_like ... ok
test_ltisys.TestTransferFunction.test_conversion ... ok
test_ltisys.TestTransferFunction.test_initialization ... ok
test_ltisys.TestTransferFunction.test_properties ... ok
test_ltisys.TestZerosPolesGain.test_conversion ... ok
test_ltisys.TestZerosPolesGain.test_initialization ... ok
test_ltisys.TestZerosPolesGain.test_properties ... ok
test_ltisys.Test_abcd_normalize.test_AB_mismatch_fails ... ok
test_ltisys.Test_abcd_normalize.test_AC_mismatch_fails ... ok
test_ltisys.Test_abcd_normalize.test_A_nosquare_fails ... ok
test_ltisys.Test_abcd_normalize.test_BD_mismatch_fails ... ok
test_ltisys.Test_abcd_normalize.test_CD_mismatch_fails ... ok
test_ltisys.Test_abcd_normalize.test_missing_A ... ok
test_ltisys.Test_abcd_normalize.test_missing_AB ... ok
test_ltisys.Test_abcd_normalize.test_missing_ABC_fails ... ok
test_ltisys.Test_abcd_normalize.test_missing_AC ... ok
test_ltisys.Test_abcd_normalize.test_missing_AD ... ok
test_ltisys.Test_abcd_normalize.test_missing_B ... ok
test_ltisys.Test_abcd_normalize.test_missing_BC ... ok
test_ltisys.Test_abcd_normalize.test_missing_BD_fails ... ok
test_ltisys.Test_abcd_normalize.test_missing_C ... ok
test_ltisys.Test_abcd_normalize.test_missing_CD_fails ... ok
test_ltisys.Test_abcd_normalize.test_missing_D ... ok
test_ltisys.Test_abcd_normalize.test_no_matrix_fails ... ok
test_ltisys.Test_abcd_normalize.test_normalized_matrices_unchanged ... ok
test_ltisys.Test_abcd_normalize.test_shapes ... ok
test_ltisys.Test_abcd_normalize.test_zero_dimension_is_not_none1 ... ok
test_ltisys.Test_abcd_normalize.test_zero_dimension_is_not_none2 ... ok
test_ltisys.Test_bode.test_01 ... ok
test_ltisys.Test_bode.test_02 ... ok
test_ltisys.Test_bode.test_03 ... ok
test_ltisys.Test_bode.test_04 ... ok
test_ltisys.Test_bode.test_05 ... ok
test_ltisys.Test_bode.test_06 ... ok
test_ltisys.Test_bode.test_07 ... ok
test_ltisys.Test_bode.test_08 ... ok
test_ltisys.Test_bode.test_from_state_space ... ok
test_ltisys.Test_freqresp.test_freq_range ... ok
test_ltisys.Test_freqresp.test_from_state_space ... ok
test_ltisys.Test_freqresp.test_imag_part ... ok
test_ltisys.Test_freqresp.test_imag_part_manual ... ok
test_ltisys.Test_freqresp.test_pole_zero ... ok
test_ltisys.Test_freqresp.test_real_part ... ok
test_ltisys.Test_freqresp.test_real_part_manual ... ok
test_ltisys.Test_lsim2.test_01 ... ok
test_ltisys.Test_lsim2.test_02 ... ok
test_ltisys.Test_lsim2.test_03 ... ok
test_ltisys.Test_lsim2.test_04 ... ok
test_ltisys.Test_lsim2.test_05 ... ok
test_ltisys.Test_lsim2.test_06 ... ok
test_mls_inputs (test_max_len_seq.TestMLS) ... ok
test_mls_output (test_max_len_seq.TestMLS) ... ok
test_2d_gaussians (test_peak_finding.TestArgrel) ... ok
test_basic (test_peak_finding.TestArgrel) ... ok
test_empty (test_peak_finding.TestArgrel) ... ok
test_highorder (test_peak_finding.TestArgrel) ... ok
Generate a series of gaussians and attempt to find the peak locations. ... ok
Verify that no peak is found in ... ok
Verify that peak locations are (approximately) found ... ok
test_empty (test_peak_finding.TestRidgeLines) ... ok
test_minimal (test_peak_finding.TestRidgeLines) ... ok
test_single_bigdist (test_peak_finding.TestRidgeLines) ... ok
test_single_biggap (test_peak_finding.TestRidgeLines) ... ok
test_single_biggaps (test_peak_finding.TestRidgeLines) ... ok
test_single_pass (test_peak_finding.TestRidgeLines) ... ok
test_savitzky_golay.test_polyder(array([5]), 0, array([5])) ... ok
test_savitzky_golay.test_polyder(array([5]), 1, array([0])) ... ok
test_savitzky_golay.test_polyder(array([3, 2, 1]), 0, array([3, 2, 1])) ... ok
test_savitzky_golay.test_polyder(array([3, 2, 1]), 1, array([6, 2])) ... ok
test_savitzky_golay.test_polyder(array([3, 2, 1]), 2, array([6])) ... ok
test_savitzky_golay.test_polyder(array([3, 2, 1]), 3, array([0])) ... ok
test_savitzky_golay.test_polyder(array([[3, 5], ... ok
test_savitzky_golay.test_polyder(array([[3, 5], ... ok
test_savitzky_golay.test_polyder(array([[3, 5], ... ok
test_savitzky_golay.test_polyder(array([[3, 5], ... ok
test_savitzky_golay.test_sg_coeffs_trivial ... ok
test_savitzky_golay.test_sg_coeffs_compare(1, 0) ... ok
test_savitzky_golay.test_sg_coeffs_compare(3, 0) ... ok
test_savitzky_golay.test_sg_coeffs_compare(3, 1) ... ok
test_savitzky_golay.test_sg_coeffs_compare(3, 2) ... ok
test_savitzky_golay.test_sg_coeffs_compare(5, 0) ... ok
test_savitzky_golay.test_sg_coeffs_compare(5, 1) ... ok
test_savitzky_golay.test_sg_coeffs_compare(5, 2) ... ok
test_savitzky_golay.test_sg_coeffs_compare(5, 3) ... ok
test_savitzky_golay.test_sg_coeffs_compare(5, 4) ... ok
test_savitzky_golay.test_sg_coeffs_compare(7, 0) ... ok
test_savitzky_golay.test_sg_coeffs_compare(7, 1) ... ok
test_savitzky_golay.test_sg_coeffs_compare(7, 2) ... ok
test_savitzky_golay.test_sg_coeffs_compare(7, 3) ... ok
test_savitzky_golay.test_sg_coeffs_compare(7, 4) ... ok
test_savitzky_golay.test_sg_coeffs_compare(7, 5) ... ok
test_savitzky_golay.test_sg_coeffs_compare(7, 6) ... ok
test_savitzky_golay.test_sg_coeffs_exact ... ok
test_savitzky_golay.test_sg_coeffs_deriv ... ok
test_savitzky_golay.test_sg_coeffs_large ... ok
Test some trivial edge cases for savgol_filter(). ... ok
test_savitzky_golay.test_sg_filter_basic ... ok
test_savitzky_golay.test_sg_filter_2d ... ok
test_savitzky_golay.test_sg_filter_interp_edges ... ok
test_savitzky_golay.test_sg_filter_interp_edges_3d ... ok
test_basic (test_signaltools.TestCSpline1DEval) ... ok
test_2d_arrays (test_signaltools.TestConvolve) ... ok
test_basic (test_signaltools.TestConvolve) ... ok
test_complex (test_signaltools.TestConvolve) ... ok
test_input_swapping (test_signaltools.TestConvolve) ... ok
test_invalid_shapes (test_signaltools.TestConvolve) ... ok
test_same (test_signaltools.TestConvolve) ... ok
test_same_eq (test_signaltools.TestConvolve) ... ok
test_same_mode (test_signaltools.TestConvolve) ... ok
test_single_element (test_signaltools.TestConvolve) ... ok
test_valid_mode2 (test_signaltools.TestConvolve) ... ok
test_zero_rank (test_signaltools.TestConvolve) ... ok
test_2d_arrays (test_signaltools.TestConvolve2d) ... ok
test_consistency_convolve_funcs (test_signaltools.TestConvolve2d) ... ok
test_fillvalue (test_signaltools.TestConvolve2d) ... ok
test_invalid_shapes (test_signaltools.TestConvolve2d) ... ok
test_same_mode (test_signaltools.TestConvolve2d) ... ok
test_sym_boundary (test_signaltools.TestConvolve2d) ... ok
test_valid_mode (test_signaltools.TestConvolve2d) ... ok
test_valid_mode2 (test_signaltools.TestConvolve2d) ... ok
test_valid_mode_complx (test_signaltools.TestConvolve2d) ... ok
test_wrap_boundary (test_signaltools.TestConvolve2d) ... ok
test_consistency_correlate_funcs (test_signaltools.TestCorrelate2d) ... ok
test_invalid_shapes (test_signaltools.TestCorrelate2d) ... ok
test_rank1_full (test_signaltools.TestCorrelateComplex128) ... ok
test_rank1_same (test_signaltools.TestCorrelateComplex128) ... ok
test_rank1_valid (test_signaltools.TestCorrelateComplex128) ... ok
test_rank3 (test_signaltools.TestCorrelateComplex128) ... ok
test_swap_full (test_signaltools.TestCorrelateComplex128) ... ok
test_swap_same (test_signaltools.TestCorrelateComplex128) ... ok
test_rank1_full (test_signaltools.TestCorrelateComplex256) ... ok
test_rank1_same (test_signaltools.TestCorrelateComplex256) ... ok
test_rank1_valid (test_signaltools.TestCorrelateComplex256) ... ok
test_rank3 (test_signaltools.TestCorrelateComplex256) ... ok
test_swap_full (test_signaltools.TestCorrelateComplex256) ... ok
test_swap_same (test_signaltools.TestCorrelateComplex256) ... ok
test_rank1_full (test_signaltools.TestCorrelateComplex256) ... ok
test_rank1_same (test_signaltools.TestCorrelateComplex256) ... ok
test_rank1_valid (test_signaltools.TestCorrelateComplex256) ... ok
test_rank3 (test_signaltools.TestCorrelateComplex256) ... ok
test_swap_full (test_signaltools.TestCorrelateComplex256) ... ok
test_swap_same (test_signaltools.TestCorrelateComplex256) ... ok
test_rank1_full (test_signaltools.TestCorrelateComplex64) ... ok
test_rank1_same (test_signaltools.TestCorrelateComplex64) ... ok
test_rank1_valid (test_signaltools.TestCorrelateComplex64) ... ok
test_rank3 (test_signaltools.TestCorrelateComplex64) ... ok
test_swap_full (test_signaltools.TestCorrelateComplex64) ... ok
test_swap_same (test_signaltools.TestCorrelateComplex64) ... ok
test_invalid_shapes (test_signaltools.TestCorrelateDecimal) ... ok
test_rank1_full (test_signaltools.TestCorrelateDecimal) ... ok
test_rank1_same (test_signaltools.TestCorrelateDecimal) ... ok
test_rank1_valid (test_signaltools.TestCorrelateDecimal) ... ok
test_rank3_all (test_signaltools.TestCorrelateDecimal) ... ok
test_rank3_same (test_signaltools.TestCorrelateDecimal) ... ok
test_rank3_valid (test_signaltools.TestCorrelateDecimal) ... ok
test_invalid_shapes (test_signaltools.TestCorrelateFloat128) ... ok
test_rank1_full (test_signaltools.TestCorrelateFloat128) ... ok
test_rank1_same (test_signaltools.TestCorrelateFloat128) ... ok
test_rank1_valid (test_signaltools.TestCorrelateFloat128) ... ok
test_rank3_all (test_signaltools.TestCorrelateFloat128) ... ok
test_rank3_same (test_signaltools.TestCorrelateFloat128) ... ok
test_rank3_valid (test_signaltools.TestCorrelateFloat128) ... ok
test_invalid_shapes (test_signaltools.TestCorrelateFloat32) ... ok
test_rank1_full (test_signaltools.TestCorrelateFloat32) ... ok
test_rank1_same (test_signaltools.TestCorrelateFloat32) ... ok
test_rank1_valid (test_signaltools.TestCorrelateFloat32) ... ok
test_rank3_all (test_signaltools.TestCorrelateFloat32) ... ok
test_rank3_same (test_signaltools.TestCorrelateFloat32) ... ok
test_rank3_valid (test_signaltools.TestCorrelateFloat32) ... ok
test_invalid_shapes (test_signaltools.TestCorrelateFloat64) ... ok
test_rank1_full (test_signaltools.TestCorrelateFloat64) ... ok
test_rank1_same (test_signaltools.TestCorrelateFloat64) ... ok
test_rank1_valid (test_signaltools.TestCorrelateFloat64) ... ok
test_rank3_all (test_signaltools.TestCorrelateFloat64) ... ok
test_rank3_same (test_signaltools.TestCorrelateFloat64) ... ok
test_rank3_valid (test_signaltools.TestCorrelateFloat64) ... ok
test_invalid_shapes (test_signaltools.TestCorrelateInt) ... ok
test_rank1_full (test_signaltools.TestCorrelateInt) ... ok
test_rank1_same (test_signaltools.TestCorrelateInt) ... ok
test_rank1_valid (test_signaltools.TestCorrelateInt) ... ok
test_rank3_all (test_signaltools.TestCorrelateInt) ... ok
test_rank3_same (test_signaltools.TestCorrelateInt) ... ok
test_rank3_valid (test_signaltools.TestCorrelateInt) ... ok
test_invalid_shapes (test_signaltools.TestCorrelateInt16) ... ok
test_rank1_full (test_signaltools.TestCorrelateInt16) ... ok
test_rank1_same (test_signaltools.TestCorrelateInt16) ... ok
test_rank1_valid (test_signaltools.TestCorrelateInt16) ... ok
test_rank3_all (test_signaltools.TestCorrelateInt16) ... ok
test_rank3_same (test_signaltools.TestCorrelateInt16) ... ok
test_rank3_valid (test_signaltools.TestCorrelateInt16) ... ok
test_invalid_shapes (test_signaltools.TestCorrelateInt8) ... ok
test_rank1_full (test_signaltools.TestCorrelateInt8) ... ok
test_rank1_same (test_signaltools.TestCorrelateInt8) ... ok
test_rank1_valid (test_signaltools.TestCorrelateInt8) ... ok
test_rank3_all (test_signaltools.TestCorrelateInt8) ... ok
test_rank3_same (test_signaltools.TestCorrelateInt8) ... ok
test_rank3_valid (test_signaltools.TestCorrelateInt8) ... ok
test_invalid_shapes (test_signaltools.TestCorrelateUint16) ... ok
test_rank1_full (test_signaltools.TestCorrelateUint16) ... ok
test_rank1_same (test_signaltools.TestCorrelateUint16) ... ok
test_rank1_valid (test_signaltools.TestCorrelateUint16) ... ok
test_rank3_all (test_signaltools.TestCorrelateUint16) ... ok
test_rank3_same (test_signaltools.TestCorrelateUint16) ... ok
test_rank3_valid (test_signaltools.TestCorrelateUint16) ... ok
test_invalid_shapes (test_signaltools.TestCorrelateUint64) ... ok
test_rank1_full (test_signaltools.TestCorrelateUint64) ... ok
test_rank1_same (test_signaltools.TestCorrelateUint64) ... ok
test_rank1_valid (test_signaltools.TestCorrelateUint64) ... ok
test_rank3_all (test_signaltools.TestCorrelateUint64) ... ok
test_rank3_same (test_signaltools.TestCorrelateUint64) ... ok
test_rank3_valid (test_signaltools.TestCorrelateUint64) ... ok
test_invalid_shapes (test_signaltools.TestCorrelateUint8) ... ok
test_rank1_full (test_signaltools.TestCorrelateUint8) ... ok
test_rank1_same (test_signaltools.TestCorrelateUint8) ... ok
test_rank1_valid (test_signaltools.TestCorrelateUint8) ... ok
test_rank3_all (test_signaltools.TestCorrelateUint8) ... ok
test_rank3_same (test_signaltools.TestCorrelateUint8) ... ok
test_rank3_valid (test_signaltools.TestCorrelateUint8) ... ok
test_bad_args (test_signaltools.TestDecimate) ... ok
test_basic_FIR (test_signaltools.TestDecimate) ... ok
test_basic_IIR (test_signaltools.TestDecimate) ... ok
test_phaseshift_FIR (test_signaltools.TestDecimate) ... ok
test_phaseshift_IIR (test_signaltools.TestDecimate) ... ok
test_shape (test_signaltools.TestDecimate) ... ok
test_zero_phase_FIR (test_signaltools.TestDecimate) ... ok
test_zero_phase_IIR (test_signaltools.TestDecimate) ... ok
test_2d_complex_same (test_signaltools.TestFFTConvolve) ... ok
test_2d_real_same (test_signaltools.TestFFTConvolve) ... ok
test_complex (test_signaltools.TestFFTConvolve) ... ok
test_empty (test_signaltools.TestFFTConvolve) ... ok
test_invalid_shapes (test_signaltools.TestFFTConvolve) ... ok
test_many_sizes (test_signaltools.TestFFTConvolve) ... ok
test_random_data (test_signaltools.TestFFTConvolve) ... ok
test_real (test_signaltools.TestFFTConvolve) ... ok
test_real_same_mode (test_signaltools.TestFFTConvolve) ... ok
test_real_same_mode2 (test_signaltools.TestFFTConvolve) ... ok
test_real_valid_mode (test_signaltools.TestFFTConvolve) ... ok
test_single_element (test_signaltools.TestFFTConvolve) ... ok
test_valid_mode (test_signaltools.TestFFTConvolve) ... ok
test_zero_rank (test_signaltools.TestFFTConvolve) ... ok
test_acoeff (test_signaltools.TestFiltFilt) ... ok
test_axis (test_signaltools.TestFiltFilt) ... ok
test_basic (test_signaltools.TestFiltFilt) ... ok
test_gust_scalars (test_signaltools.TestFiltFilt) ... ok
test_gust_simple (test_signaltools.TestFiltFilt) ... ok
test_sine (test_signaltools.TestFiltFilt) ... ok
test_signaltools.TestHilbert.test_bad_args ... ok
test_signaltools.TestHilbert.test_hilbert_axisN(array([[  0.+2.30940108j,   6.+2.30940108j,  12.+2.30940108j], ... ok
test_signaltools.TestHilbert.test_hilbert_axisN(array([ 0.+2.30940108j,  1.-1.15470054j,  2.-1.15470054j,  3.-1.15470054j, ... ok
test_signaltools.TestHilbert.test_hilbert_axisN((3, 20), [3, 20]) ... ok
test_signaltools.TestHilbert.test_hilbert_axisN((20, 3), [20, 3]) ... ok
test_signaltools.TestHilbert.test_hilbert_axisN(array([  0.00000000e+00-1.7201583j ,   1.00000000e+00-2.04779451j, ... ok
test_signaltools.TestHilbert.test_hilbert_theoretical ... ok
test_signaltools.TestHilbert2.test_bad_args ... ok
test_basic (test_signaltools.TestLFilterZI) ... ok
test_scale_invariance (test_signaltools.TestLFilterZI) ... ok
test_bad_size_zi (test_signaltools.TestLinearFilterComplex128) ... ok
test_do_not_modify_a_b_FIR (test_signaltools.TestLinearFilterComplex128) ... ok
test_do_not_modify_a_b_IIR (test_signaltools.TestLinearFilterComplex128) ... ok
test_empty_zi (test_signaltools.TestLinearFilterComplex128) ... ok
test_lfiltic_bad_zi (test_signaltools.TestLinearFilterComplex128) ... ok
test_rank_1_FIR (test_signaltools.TestLinearFilterComplex128) ... ok
test_rank_1_FIR_init_cond (test_signaltools.TestLinearFilterComplex128) ... ok
test_rank_1_IIR (test_signaltools.TestLinearFilterComplex128) ... ok
test_rank_1_IIR_init_cond (test_signaltools.TestLinearFilterComplex128) ... ok
test_rank_2_IIR_axis_0 (test_signaltools.TestLinearFilterComplex128) ... ok
test_rank_2_IIR_axis_0_init_cond (test_signaltools.TestLinearFilterComplex128) ... ok
test_rank_2_IIR_axis_1 (test_signaltools.TestLinearFilterComplex128) ... ok
test_rank_2_IIR_axis_1_init_cond (test_signaltools.TestLinearFilterComplex128) ... ok
test_rank_3_FIR (test_signaltools.TestLinearFilterComplex128) ... ok
test_rank_3_FIR_init_cond (test_signaltools.TestLinearFilterComplex128) ... ok
test_rank_3_IIR (test_signaltools.TestLinearFilterComplex128) ... ok
test_rank_3_IIR_init_cond (test_signaltools.TestLinearFilterComplex128) ... ok
test_scalar_a (test_signaltools.TestLinearFilterComplex128) ... ok
test_short_x_FIR (test_signaltools.TestLinearFilterComplex128) ... ok
test_short_x_IIR (test_signaltools.TestLinearFilterComplex128) ... ok
test_zi_pseudobroadcast (test_signaltools.TestLinearFilterComplex128) ... ok
test_zi_some_singleton_dims (test_signaltools.TestLinearFilterComplex128) ... ok
test_bad_size_zi (test_signaltools.TestLinearFilterComplex64) ... ok
test_do_not_modify_a_b_FIR (test_signaltools.TestLinearFilterComplex64) ... ok
test_do_not_modify_a_b_IIR (test_signaltools.TestLinearFilterComplex64) ... ok
test_empty_zi (test_signaltools.TestLinearFilterComplex64) ... ok
test_lfiltic_bad_zi (test_signaltools.TestLinearFilterComplex64) ... ok
test_rank_1_FIR (test_signaltools.TestLinearFilterComplex64) ... ok
test_rank_1_FIR_init_cond (test_signaltools.TestLinearFilterComplex64) ... ok
test_rank_1_IIR (test_signaltools.TestLinearFilterComplex64) ... ok
test_rank_1_IIR_init_cond (test_signaltools.TestLinearFilterComplex64) ... ok
test_rank_2_IIR_axis_0 (test_signaltools.TestLinearFilterComplex64) ... ok
test_rank_2_IIR_axis_0_init_cond (test_signaltools.TestLinearFilterComplex64) ... ok
test_rank_2_IIR_axis_1 (test_signaltools.TestLinearFilterComplex64) ... ok
test_rank_2_IIR_axis_1_init_cond (test_signaltools.TestLinearFilterComplex64) ... ok
test_rank_3_FIR (test_signaltools.TestLinearFilterComplex64) ... ok
test_rank_3_FIR_init_cond (test_signaltools.TestLinearFilterComplex64) ... ok
test_rank_3_IIR (test_signaltools.TestLinearFilterComplex64) ... ok
test_rank_3_IIR_init_cond (test_signaltools.TestLinearFilterComplex64) ... ok
test_scalar_a (test_signaltools.TestLinearFilterComplex64) ... ok
test_short_x_FIR (test_signaltools.TestLinearFilterComplex64) ... ok
test_short_x_IIR (test_signaltools.TestLinearFilterComplex64) ... ok
test_zi_pseudobroadcast (test_signaltools.TestLinearFilterComplex64) ... ok
test_zi_some_singleton_dims (test_signaltools.TestLinearFilterComplex64) ... ok
test_bad_size_zi (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_do_not_modify_a_b_FIR (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_do_not_modify_a_b_IIR (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_empty_zi (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_lfiltic_bad_zi (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_rank_1_FIR (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_rank_1_FIR_init_cond (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_rank_1_IIR (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_rank_1_IIR_init_cond (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_rank_2_IIR_axis_0 (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_rank_2_IIR_axis_0_init_cond (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_rank_2_IIR_axis_1 (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_rank_2_IIR_axis_1_init_cond (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_rank_3_FIR (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_rank_3_FIR_init_cond (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_rank_3_IIR (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_rank_3_IIR_init_cond (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_scalar_a (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_short_x_FIR (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_short_x_IIR (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_zi_pseudobroadcast (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_zi_some_singleton_dims (test_signaltools.TestLinearFilterComplexExtended) ... ok
test_bad_size_zi (test_signaltools.TestLinearFilterDecimal) ... ok
test_do_not_modify_a_b_FIR (test_signaltools.TestLinearFilterDecimal) ... ok
test_do_not_modify_a_b_IIR (test_signaltools.TestLinearFilterDecimal) ... ok
test_empty_zi (test_signaltools.TestLinearFilterDecimal) ... ok
test_lfiltic_bad_zi (test_signaltools.TestLinearFilterDecimal) ... ok
test_rank_1_FIR (test_signaltools.TestLinearFilterDecimal) ... ok
test_rank_1_FIR_init_cond (test_signaltools.TestLinearFilterDecimal) ... ok
test_rank_1_IIR (test_signaltools.TestLinearFilterDecimal) ... ok
test_rank_1_IIR_init_cond (test_signaltools.TestLinearFilterDecimal) ... ok
test_rank_2_IIR_axis_0 (test_signaltools.TestLinearFilterDecimal) ... ok
test_rank_2_IIR_axis_0_init_cond (test_signaltools.TestLinearFilterDecimal) ... ok
test_rank_2_IIR_axis_1 (test_signaltools.TestLinearFilterDecimal) ... ok
test_rank_2_IIR_axis_1_init_cond (test_signaltools.TestLinearFilterDecimal) ... ok
test_rank_3_FIR (test_signaltools.TestLinearFilterDecimal) ... ok
test_rank_3_FIR_init_cond (test_signaltools.TestLinearFilterDecimal) ... ok
test_rank_3_IIR (test_signaltools.TestLinearFilterDecimal) ... ok
test_rank_3_IIR_init_cond (test_signaltools.TestLinearFilterDecimal) ... ok
test_scalar_a (test_signaltools.TestLinearFilterDecimal) ... ok
test_short_x_FIR (test_signaltools.TestLinearFilterDecimal) ... ok
test_short_x_IIR (test_signaltools.TestLinearFilterDecimal) ... ok
test_zi_pseudobroadcast (test_signaltools.TestLinearFilterDecimal) ... ok
test_zi_some_singleton_dims (test_signaltools.TestLinearFilterDecimal) ... ok
test_bad_size_zi (test_signaltools.TestLinearFilterFloat32) ... ok
test_do_not_modify_a_b_FIR (test_signaltools.TestLinearFilterFloat32) ... ok
test_do_not_modify_a_b_IIR (test_signaltools.TestLinearFilterFloat32) ... ok
test_empty_zi (test_signaltools.TestLinearFilterFloat32) ... ok
test_lfiltic_bad_zi (test_signaltools.TestLinearFilterFloat32) ... ok
test_rank_1_FIR (test_signaltools.TestLinearFilterFloat32) ... ok
test_rank_1_FIR_init_cond (test_signaltools.TestLinearFilterFloat32) ... ok
test_rank_1_IIR (test_signaltools.TestLinearFilterFloat32) ... ok
test_rank_1_IIR_init_cond (test_signaltools.TestLinearFilterFloat32) ... ok
test_rank_2_IIR_axis_0 (test_signaltools.TestLinearFilterFloat32) ... ok
test_rank_2_IIR_axis_0_init_cond (test_signaltools.TestLinearFilterFloat32) ... ok
test_rank_2_IIR_axis_1 (test_signaltools.TestLinearFilterFloat32) ... ok
test_rank_2_IIR_axis_1_init_cond (test_signaltools.TestLinearFilterFloat32) ... ok
test_rank_3_FIR (test_signaltools.TestLinearFilterFloat32) ... ok
test_rank_3_FIR_init_cond (test_signaltools.TestLinearFilterFloat32) ... ok
test_rank_3_IIR (test_signaltools.TestLinearFilterFloat32) ... ok
test_rank_3_IIR_init_cond (test_signaltools.TestLinearFilterFloat32) ... ok
test_scalar_a (test_signaltools.TestLinearFilterFloat32) ... ok
test_short_x_FIR (test_signaltools.TestLinearFilterFloat32) ... ok
test_short_x_IIR (test_signaltools.TestLinearFilterFloat32) ... ok
test_zi_pseudobroadcast (test_signaltools.TestLinearFilterFloat32) ... ok
test_zi_some_singleton_dims (test_signaltools.TestLinearFilterFloat32) ... ok
test_bad_size_zi (test_signaltools.TestLinearFilterFloat64) ... ok
test_do_not_modify_a_b_FIR (test_signaltools.TestLinearFilterFloat64) ... ok
test_do_not_modify_a_b_IIR (test_signaltools.TestLinearFilterFloat64) ... ok
test_empty_zi (test_signaltools.TestLinearFilterFloat64) ... ok
test_lfiltic_bad_zi (test_signaltools.TestLinearFilterFloat64) ... ok
test_rank_1_FIR (test_signaltools.TestLinearFilterFloat64) ... ok
test_rank_1_FIR_init_cond (test_signaltools.TestLinearFilterFloat64) ... ok
test_rank_1_IIR (test_signaltools.TestLinearFilterFloat64) ... ok
test_rank_1_IIR_init_cond (test_signaltools.TestLinearFilterFloat64) ... ok
test_rank_2_IIR_axis_0 (test_signaltools.TestLinearFilterFloat64) ... ok
test_rank_2_IIR_axis_0_init_cond (test_signaltools.TestLinearFilterFloat64) ... ok
test_rank_2_IIR_axis_1 (test_signaltools.TestLinearFilterFloat64) ... ok
test_rank_2_IIR_axis_1_init_cond (test_signaltools.TestLinearFilterFloat64) ... ok
test_rank_3_FIR (test_signaltools.TestLinearFilterFloat64) ... ok
test_rank_3_FIR_init_cond (test_signaltools.TestLinearFilterFloat64) ... ok
test_rank_3_IIR (test_signaltools.TestLinearFilterFloat64) ... ok
test_rank_3_IIR_init_cond (test_signaltools.TestLinearFilterFloat64) ... ok
test_scalar_a (test_signaltools.TestLinearFilterFloat64) ... ok
test_short_x_FIR (test_signaltools.TestLinearFilterFloat64) ... ok
test_short_x_IIR (test_signaltools.TestLinearFilterFloat64) ... ok
test_zi_pseudobroadcast (test_signaltools.TestLinearFilterFloat64) ... ok
test_zi_some_singleton_dims (test_signaltools.TestLinearFilterFloat64) ... ok
test_bad_size_zi (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_do_not_modify_a_b_FIR (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_do_not_modify_a_b_IIR (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_empty_zi (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_lfiltic_bad_zi (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_rank_1_FIR (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_rank_1_FIR_init_cond (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_rank_1_IIR (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_rank_1_IIR_init_cond (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_rank_2_IIR_axis_0 (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_rank_2_IIR_axis_0_init_cond (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_rank_2_IIR_axis_1 (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_rank_2_IIR_axis_1_init_cond (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_rank_3_FIR (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_rank_3_FIR_init_cond (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_rank_3_IIR (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_rank_3_IIR_init_cond (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_scalar_a (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_short_x_FIR (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_short_x_IIR (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_zi_pseudobroadcast (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_zi_some_singleton_dims (test_signaltools.TestLinearFilterFloatExtended) ... ok
test_bad_size_zi (test_signaltools.TestLinearFilterObject) ... ok
test_do_not_modify_a_b_FIR (test_signaltools.TestLinearFilterObject) ... ok
test_do_not_modify_a_b_IIR (test_signaltools.TestLinearFilterObject) ... ok
test_empty_zi (test_signaltools.TestLinearFilterObject) ... ok
test_lfiltic_bad_zi (test_signaltools.TestLinearFilterObject) ... ok
test_rank_1_FIR (test_signaltools.TestLinearFilterObject) ... ok
test_rank_1_FIR_init_cond (test_signaltools.TestLinearFilterObject) ... ok
test_rank_1_IIR (test_signaltools.TestLinearFilterObject) ... ok
test_rank_1_IIR_init_cond (test_signaltools.TestLinearFilterObject) ... ok
test_rank_2_IIR_axis_0 (test_signaltools.TestLinearFilterObject) ... ok
test_rank_2_IIR_axis_0_init_cond (test_signaltools.TestLinearFilterObject) ... ok
test_rank_2_IIR_axis_1 (test_signaltools.TestLinearFilterObject) ... ok
test_rank_2_IIR_axis_1_init_cond (test_signaltools.TestLinearFilterObject) ... ok
test_rank_3_FIR (test_signaltools.TestLinearFilterObject) ... ok
test_rank_3_FIR_init_cond (test_signaltools.TestLinearFilterObject) ... ok
test_rank_3_IIR (test_signaltools.TestLinearFilterObject) ... ok
test_rank_3_IIR_init_cond (test_signaltools.TestLinearFilterObject) ... ok
test_scalar_a (test_signaltools.TestLinearFilterObject) ... ok
test_short_x_FIR (test_signaltools.TestLinearFilterObject) ... ok
test_short_x_IIR (test_signaltools.TestLinearFilterObject) ... ok
test_zi_pseudobroadcast (test_signaltools.TestLinearFilterObject) ... ok
test_zi_some_singleton_dims (test_signaltools.TestLinearFilterObject) ... ok
test_basic (test_signaltools.TestMedFilt) ... ok
test_none (test_signaltools.TestMedFilt) ... ok
test_basic (test_signaltools.TestOrderFilt) ... ok
test_invres_bad_rtype (test_signaltools.TestPartialFractionExpansion) ... ok
test_invres_distinct_roots (test_signaltools.TestPartialFractionExpansion) ... ok
test_invres_repeated_roots (test_signaltools.TestPartialFractionExpansion) ... ok
test_invresz_one_coefficient_bug (test_signaltools.TestPartialFractionExpansion) ... ok
test_basic (test_signaltools.TestResample) ... ok
test_fft (test_signaltools.TestResample) ... ok
test_poly_vs_filtfilt (test_signaltools.TestResample) ... ok
test_polyphase (test_signaltools.TestResample) ... ok
test_polyphase_extfilter (test_signaltools.TestResample) ... ok
test_bad_zi_shape (test_signaltools.TestSOSFilt) ... ok
test_initial_conditions (test_signaltools.TestSOSFilt) ... ok
test_initial_conditions_3d_axis1 (test_signaltools.TestSOSFilt) ... ok
test_rank1 (test_signaltools.TestSOSFilt) ... ok
test_rank2 (test_signaltools.TestSOSFilt) ... ok
test_rank3 (test_signaltools.TestSOSFilt) ... ok
test_sosfilt_zi (test_signaltools.TestSOSFilt) ... ok
test_acoeff (test_signaltools.TestSOSFiltFilt) ... ok
test_axis (test_signaltools.TestSOSFiltFilt) ... ok
test_basic (test_signaltools.TestSOSFiltFilt) ... ok
Test equivalence between sosfiltfilt and filtfilt ... ok
test_gust_scalars (test_signaltools.TestSOSFiltFilt) ... SKIP: gust only implemented for TF systems
test_gust_simple (test_signaltools.TestSOSFiltFilt) ... SKIP: gust only implemented for TF systems
test_sine (test_signaltools.TestSOSFiltFilt) ... ok
test_2d_events_ValueError (test_signaltools.TestVectorstrength) ... ok
test_2d_period_ValueError (test_signaltools.TestVectorstrength) ... ok
test_equal_1dperiod (test_signaltools.TestVectorstrength) ... ok
test_equal_2dperiod (test_signaltools.TestVectorstrength) ... ok
test_negative_period_ValueError (test_signaltools.TestVectorstrength) ... ok
test_opposite_1dperiod (test_signaltools.TestVectorstrength) ... ok
test_opposite_2dperiod (test_signaltools.TestVectorstrength) ... ok
test_partial_1dperiod (test_signaltools.TestVectorstrength) ... ok
test_partial_2dperiod (test_signaltools.TestVectorstrength) ... ok
test_single_1dperiod (test_signaltools.TestVectorstrength) ... ok
test_single_2dperiod (test_signaltools.TestVectorstrength) ... ok
test_spaced_1dperiod (test_signaltools.TestVectorstrength) ... ok
test_spaced_2dperiod (test_signaltools.TestVectorstrength) ... ok
test_zero_period_ValueError (test_signaltools.TestVectorstrength) ... ok
test_basic (test_signaltools.TestWiener) ... ok
test_signaltools.test_lfilter_bad_object ... ok
test_signaltools.test_filtfilt_gust(array([ 0.00883721,  0.02639362,  0.02639362,  0.00883721]), array([ 1.        , -2.10127921,  1.59205748, -0.42031659]), (550,), 0, None) ... ok
test_signaltools.test_filtfilt_gust(array([ 0.00883721,  0.02639362,  0.02639362,  0.00883721]), array([ 1.        , -2.10127921,  1.59205748, -0.42031659]), [550, 2, 2], 0, None) ... ok
test_signaltools.test_filtfilt_gust(array([ 0.00883721,  0.02639362,  0.02639362,  0.00883721]), array([ 1.        , -2.10127921,  1.59205748, -0.42031659]), [2, 550, 2], 1, None) ... ok
test_signaltools.test_filtfilt_gust(array([ 0.00883721,  0.02639362,  0.02639362,  0.00883721]), array([ 1.        , -2.10127921,  1.59205748, -0.42031659]), [2, 2, 550], 2, None) ... ok
test_signaltools.test_filtfilt_gust(array([ 0.00883721,  0.02639362,  0.02639362,  0.00883721]), array([ 1.        , -2.10127921,  1.59205748, -0.42031659]), (550,), 0, 110) ... ok
test_signaltools.test_filtfilt_gust(array([ 0.00883721,  0.02639362,  0.02639362,  0.00883721]), array([ 1.        , -2.10127921,  1.59205748, -0.42031659]), [550, 2, 2], 0, 110) ... ok
test_signaltools.test_filtfilt_gust(array([ 0.00883721,  0.02639362,  0.02639362,  0.00883721]), array([ 1.        , -2.10127921,  1.59205748, -0.42031659]), [2, 550, 2], 1, 110) ... ok
test_signaltools.test_filtfilt_gust(array([ 0.00883721,  0.02639362,  0.02639362,  0.00883721]), array([ 1.        , -2.10127921,  1.59205748, -0.42031659]), [2, 2, 550], 2, 110) ... ok
test_signaltools.test_filtfilt_gust(array([ 0.00883721,  0.02639362,  0.02639362,  0.00883721]), array([ 1.        , -2.10127921,  1.59205748, -0.42031659]), (170,), 0, 110) ... ok
test_spectral.TestCSD.test_bad_noverlap ... ok
test_spectral.TestCSD.test_complex ... ok
test_spectral.TestCSD.test_complex_32 ... ok
test_spectral.TestCSD.test_detrend_external ... ok
test_spectral.TestCSD.test_detrend_external_nd_0 ... ok
test_spectral.TestCSD.test_detrend_external_nd_m1 ... ok
test_spectral.TestCSD.test_detrend_linear ... ok
test_spectral.TestCSD.test_empty_input ... ok
test_spectral.TestCSD.test_empty_input_other_axis ... ok
test_spectral.TestCSD.test_integer_onesided_even ... ok
test_spectral.TestCSD.test_integer_onesided_odd ... ok
test_spectral.TestCSD.test_integer_twosided ... ok
test_spectral.TestCSD.test_nd_axis_0 ... ok
test_spectral.TestCSD.test_nd_axis_m1 ... ok
test_spectral.TestCSD.test_nfft_too_short ... ok
test_spectral.TestCSD.test_no_detrending ... ok
test_spectral.TestCSD.test_nondefault_noverlap ... ok
test_spectral.TestCSD.test_pad_shorter_x ... ok
test_spectral.TestCSD.test_pad_shorter_y ... ok
test_spectral.TestCSD.test_padded_freqs ... ok
test_spectral.TestCSD.test_real_onesided_even ... ok
test_spectral.TestCSD.test_real_onesided_even_32 ... ok
test_spectral.TestCSD.test_real_onesided_odd ... ok
test_spectral.TestCSD.test_real_onesided_odd_32 ... ok
test_spectral.TestCSD.test_real_spectrum ... ok
test_spectral.TestCSD.test_real_twosided ... ok
test_spectral.TestCSD.test_real_twosided_32 ... ok
test_spectral.TestCSD.test_short_data ... ok
test_spectral.TestCSD.test_unk_scaling ... ok
test_spectral.TestCSD.test_window_external ... ok
test_spectral.TestCSD.test_window_long_or_nd ... ok
test_spectral.TestCoherence.test_identical_input ... ok
test_spectral.TestCoherence.test_phase_shifted_input ... ok
Test if height of peak in normalized Lomb-Scargle periodogram ... ok
Test if frequency location of peak corresponds to frequency of ... ok
test_spectral.TestLombscargle.test_lombscargle_atan_vs_atan2 ... ok
test_spectral.TestLombscargle.test_wrong_shape ... ok
test_spectral.TestLombscargle.test_zero_division ... ok
test_complex (test_spectral.TestPeriodogram) ... ok
test_complex_32 (test_spectral.TestPeriodogram) ... ok
test_empty_input (test_spectral.TestPeriodogram) ... ok
test_empty_input_other_axis (test_spectral.TestPeriodogram) ... ok
test_integer_even (test_spectral.TestPeriodogram) ... ok
test_integer_odd (test_spectral.TestPeriodogram) ... ok
test_integer_twosided (test_spectral.TestPeriodogram) ... ok
test_nd_axis_0 (test_spectral.TestPeriodogram) ... ok
test_nd_axis_m1 (test_spectral.TestPeriodogram) ... ok
test_nfft_is_xshape (test_spectral.TestPeriodogram) ... ok
test_padded_fft (test_spectral.TestPeriodogram) ... ok
test_real_onesided_even (test_spectral.TestPeriodogram) ... ok
test_real_onesided_even_32 (test_spectral.TestPeriodogram) ... ok
test_real_onesided_odd (test_spectral.TestPeriodogram) ... ok
test_real_onesided_odd_32 (test_spectral.TestPeriodogram) ... ok
test_real_spectrum (test_spectral.TestPeriodogram) ... ok
test_real_twosided (test_spectral.TestPeriodogram) ... ok
test_real_twosided_32 (test_spectral.TestPeriodogram) ... ok
test_short_nfft (test_spectral.TestPeriodogram) ... ok
test_unk_scaling (test_spectral.TestPeriodogram) ... ok
test_window_external (test_spectral.TestPeriodogram) ... ok
test_spectral.TestSpectrogram.test_average_all_segments ... ok
test_bad_noverlap (test_spectral.TestWelch) ... ok
test_complex (test_spectral.TestWelch) ... ok
test_complex_32 (test_spectral.TestWelch) ... ok
test_detrend_external (test_spectral.TestWelch) ... ok
test_detrend_external_nd_0 (test_spectral.TestWelch) ... ok
test_detrend_external_nd_m1 (test_spectral.TestWelch) ... ok
test_detrend_linear (test_spectral.TestWelch) ... ok
test_empty_input (test_spectral.TestWelch) ... ok
test_empty_input_other_axis (test_spectral.TestWelch) ... ok
test_integer_onesided_even (test_spectral.TestWelch) ... ok
test_integer_onesided_odd (test_spectral.TestWelch) ... ok
test_integer_twosided (test_spectral.TestWelch) ... ok
test_nd_axis_0 (test_spectral.TestWelch) ... ok
test_nd_axis_m1 (test_spectral.TestWelch) ... ok
test_nfft_too_short (test_spectral.TestWelch) ... ok
test_no_detrending (test_spectral.TestWelch) ... ok
test_nondefault_noverlap (test_spectral.TestWelch) ... ok
test_padded_freqs (test_spectral.TestWelch) ... ok
test_real_onesided_even (test_spectral.TestWelch) ... ok
test_real_onesided_even_32 (test_spectral.TestWelch) ... ok
test_real_onesided_odd (test_spectral.TestWelch) ... ok
test_real_onesided_odd_32 (test_spectral.TestWelch) ... ok
test_real_spectrum (test_spectral.TestWelch) ... ok
test_real_twosided (test_spectral.TestWelch) ... ok
test_real_twosided_32 (test_spectral.TestWelch) ... ok
test_short_data (test_spectral.TestWelch) ... ok
test_unk_scaling (test_spectral.TestWelch) ... ok
test_window_external (test_spectral.TestWelch) ... ok
test_window_long_or_nd (test_spectral.TestWelch) ... ok
test_valid_input (test_upfirdn.test_upfirdn) ... ok
test_vs_lfilter (test_upfirdn.test_upfirdn) ... ok
test_vs_naive (test_upfirdn.test_upfirdn) ... ok
test_hyperbolic_at_zero (test_waveforms.TestChirp) ... ok
test_hyperbolic_freq_01 (test_waveforms.TestChirp) ... ok
test_hyperbolic_zero_freq (test_waveforms.TestChirp) ... ok
test_integer_all (test_waveforms.TestChirp) ... ok
test_integer_f0 (test_waveforms.TestChirp) ... ok
test_integer_f1 (test_waveforms.TestChirp) ... ok
test_integer_t1 (test_waveforms.TestChirp) ... ok
test_linear_at_zero (test_waveforms.TestChirp) ... ok
test_linear_freq_01 (test_waveforms.TestChirp) ... ok
test_linear_freq_02 (test_waveforms.TestChirp) ... ok
test_logarithmic_at_zero (test_waveforms.TestChirp) ... ok
test_logarithmic_freq_01 (test_waveforms.TestChirp) ... ok
test_logarithmic_freq_02 (test_waveforms.TestChirp) ... ok
test_logarithmic_freq_03 (test_waveforms.TestChirp) ... ok
test_quadratic_at_zero (test_waveforms.TestChirp) ... ok
test_quadratic_at_zero2 (test_waveforms.TestChirp) ... ok
test_quadratic_freq_01 (test_waveforms.TestChirp) ... ok
test_quadratic_freq_02 (test_waveforms.TestChirp) ... ok
test_unknown_method (test_waveforms.TestChirp) ... ok
test_integer_bw (test_waveforms.TestGaussPulse) ... ok
test_integer_bwr (test_waveforms.TestGaussPulse) ... ok
test_integer_fc (test_waveforms.TestGaussPulse) ... ok
test_integer_tpr (test_waveforms.TestGaussPulse) ... ok
test_sweep_poly_const (test_waveforms.TestSweepPoly) ... ok
test_sweep_poly_cubic (test_waveforms.TestSweepPoly) ... ok
Use an array of coefficients instead of a poly1d. ... ok
Use a list of coefficients instead of a poly1d. ... ok
test_sweep_poly_linear (test_waveforms.TestSweepPoly) ... ok
test_sweep_poly_quad1 (test_waveforms.TestSweepPoly) ... ok
test_sweep_poly_quad2 (test_waveforms.TestSweepPoly) ... ok
test_cascade (test_wavelets.TestWavelets) ... ok
test_cwt (test_wavelets.TestWavelets) ... ok
test_daub (test_wavelets.TestWavelets) ... ok
test_morlet (test_wavelets.TestWavelets) ... ok
test_qmf (test_wavelets.TestWavelets) ... ok
test_ricker (test_wavelets.TestWavelets) ... ok
test_windows.TestChebWin.test_cheb_even_high_attenuation ... ok
test_windows.TestChebWin.test_cheb_even_low_attenuation ... ok
test_windows.TestChebWin.test_cheb_odd_high_attenuation ... ok
test_windows.TestChebWin.test_cheb_odd_low_attenuation ... ok
test_windows.TestGetWindow.test_array_as_window ... ok
test_windows.TestGetWindow.test_boxcar ... ok
test_windows.TestGetWindow.test_cheb_even ... ok
test_windows.TestGetWindow.test_cheb_odd ... ok
test_windows.test_exponential ... ok
test_windows.test_tukey ... ok
test_windows.test_windowfunc_basics ... ok
test_windows.test_needs_params ... ok
test_connected_components.test_weak_connections ... ok
test_connected_components.test_strong_connections ... ok
test_connected_components.test_strong_connections2 ... ok
test_connected_components.test_weak_connections2 ... ok
test_connected_components.test_ticket1876 ... ok
test_connected_components.test_fully_connected_graph ... ok
test_conversions.test_csgraph_from_dense ... ok
test_conversions.test_csgraph_to_dense ... ok
test_conversions.test_multiple_edges ... ok
test_graph_components.test_cs_graph_components ... ok
test_graph_laplacian.test_laplacian_value_error ... ok
test_graph_laplacian.test_symmetric_graph_laplacian('np.arange(10) * np.arange(10)[:, np.newaxis]', True) ... ok
test_graph_laplacian.test_symmetric_graph_laplacian('np.arange(10) * np.arange(10)[:, np.newaxis]', False) ... ok
test_graph_laplacian.test_symmetric_graph_laplacian('np.ones((7, 7))', True) ... ok
test_graph_laplacian.test_symmetric_graph_laplacian('np.ones((7, 7))', False) ... ok
test_graph_laplacian.test_symmetric_graph_laplacian('np.eye(19)', True) ... ok
test_graph_laplacian.test_symmetric_graph_laplacian('np.eye(19)', False) ... ok
test_graph_laplacian.test_symmetric_graph_laplacian('sparse.diags([1, 1], [-1, 1], shape=(4,4))', True) ... ok
test_graph_laplacian.test_symmetric_graph_laplacian('sparse.diags([1, 1], [-1, 1], shape=(4,4))', False) ... ok
test_graph_laplacian.test_symmetric_graph_laplacian('sparse.diags([1, 1], [-1, 1], shape=(4,4)).todense()', True) ... ok
test_graph_laplacian.test_symmetric_graph_laplacian('sparse.diags([1, 1], [-1, 1], shape=(4,4)).todense()', False) ... ok
test_graph_laplacian.test_symmetric_graph_laplacian('np.asarray(sparse.diags([1, 1], [-1, 1], shape=(4,4)).todense())', True) ... ok
test_graph_laplacian.test_symmetric_graph_laplacian('np.asarray(sparse.diags([1, 1], [-1, 1], shape=(4,4)).todense())', False) ... ok
test_graph_laplacian.test_symmetric_graph_laplacian('np.vander(np.arange(4)) + np.vander(np.arange(4)).T', True) ... ok
test_graph_laplacian.test_symmetric_graph_laplacian('np.vander(np.arange(4)) + np.vander(np.arange(4)).T', False) ... ok
test_graph_laplacian.test_asymmetric_laplacian ... ok
test_graph_laplacian.test_sparse_formats(<4x4 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_graph_laplacian.test_sparse_formats(<4x4 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_graph_laplacian.test_sparse_formats(<4x4 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_graph_laplacian.test_sparse_formats(<4x4 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_graph_laplacian.test_sparse_formats(<4x4 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_graph_laplacian.test_sparse_formats(<4x4 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_graph_laplacian.test_sparse_formats(<4x4 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_graph_laplacian.test_sparse_formats(<4x4 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_graph_laplacian.test_sparse_formats(<4x4 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_graph_laplacian.test_sparse_formats(<4x4 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_graph_laplacian.test_sparse_formats(<4x4 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_graph_laplacian.test_sparse_formats(<4x4 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_graph_laplacian.test_sparse_formats(<4x4 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_graph_laplacian.test_sparse_formats(<4x4 sparse matrix of type '<type 'numpy.float64'>' ... ok
test_reordering.test_graph_reverse_cuthill_mckee ... ok
test_reordering.test_graph_reverse_cuthill_mckee_ordering ... ok
test_reordering.test_graph_maximum_bipartite_matching ... ok
test_shortest_path.test_dijkstra_limit(0, array([[  0.,  inf,  inf,  inf,  inf], ... ok
test_shortest_path.test_dijkstra_limit(2, array([[  0.,  inf,  inf,   1.,   2.], ... ok
test_shortest_path.test_dijkstra_limit(inf, array([[ 0.,  3.,  3.,  1.,  2.], ... ok
test_shortest_path.test_directed('auto',) ... ok
test_shortest_path.test_directed('FW',) ... ok
test_shortest_path.test_directed('D',) ... ok
test_shortest_path.test_directed('BF',) ... ok
test_shortest_path.test_directed('J',) ... ok
test_shortest_path.test_undirected('auto', True) ... ok
test_shortest_path.test_undirected('auto', False) ... ok
test_shortest_path.test_undirected('FW', True) ... ok
test_shortest_path.test_undirected('FW', False) ... ok
test_shortest_path.test_undirected('D', True) ... ok
test_shortest_path.test_undirected('D', False) ... ok
test_shortest_path.test_undirected('BF', True) ... ok
test_shortest_path.test_undirected('BF', False) ... ok
test_shortest_path.test_undirected('J', True) ... ok
test_shortest_path.test_undirected('J', False) ... ok
test_shortest_path.test_shortest_path_indices(<built-in function dijkstra>, (4,)) ... ok
test_shortest_path.test_shortest_path_indices(<built-in function bellman_ford>, (4,)) ... ok
test_shortest_path.test_shortest_path_indices(<built-in function johnson>, (4,)) ... ok
test_shortest_path.test_shortest_path_indices(<built-in function shortest_path>, (4,)) ... ok
test_shortest_path.test_shortest_path_indices(<built-in function dijkstra>, (4, 1)) ... ok
test_shortest_path.test_shortest_path_indices(<built-in function bellman_ford>, (4, 1)) ... ok
test_shortest_path.test_shortest_path_indices(<built-in function johnson>, (4, 1)) ... ok
test_shortest_path.test_shortest_path_indices(<built-in function shortest_path>, (4, 1)) ... ok
test_shortest_path.test_shortest_path_indices(<built-in function dijkstra>, (2, 2)) ... ok
test_shortest_path.test_shortest_path_indices(<built-in function bellman_ford>, (2, 2)) ... ok
test_shortest_path.test_shortest_path_indices(<built-in function johnson>, (2, 2)) ... ok
test_shortest_path.test_shortest_path_indices(<built-in function shortest_path>, (2, 2)) ... ok
test_shortest_path.test_predecessors('auto', True) ... ok
test_shortest_path.test_predecessors('auto', False) ... ok
test_shortest_path.test_predecessors('FW', True) ... ok
test_shortest_path.test_predecessors('FW', False) ... ok
test_shortest_path.test_predecessors('D', True) ... ok
test_shortest_path.test_predecessors('D', False) ... ok
test_shortest_path.test_predecessors('BF', True) ... ok
test_shortest_path.test_predecessors('BF', False) ... ok
test_shortest_path.test_predecessors('J', True) ... ok
test_shortest_path.test_predecessors('J', False) ... ok
test_shortest_path.test_construct_shortest_path('auto', True) ... ok
test_shortest_path.test_construct_shortest_path('auto', False) ... ok
test_shortest_path.test_construct_shortest_path('FW', True) ... ok
test_shortest_path.test_construct_shortest_path('FW', False) ... ok
test_shortest_path.test_construct_shortest_path('D', True) ... ok
test_shortest_path.test_construct_shortest_path('D', False) ... ok
test_shortest_path.test_construct_shortest_path('BF', True) ... ok
test_shortest_path.test_construct_shortest_path('BF', False) ... ok
test_shortest_path.test_construct_shortest_path('J', True) ... ok
test_shortest_path.test_construct_shortest_path('J', False) ... ok
test_shortest_path.test_unweighted_path('auto', True) ... ok
test_shortest_path.test_unweighted_path('auto', False) ... ok
test_shortest_path.test_unweighted_path('FW', True) ... ok
test_shortest_path.test_unweighted_path('FW', False) ... ok
test_shortest_path.test_unweighted_path('D', True) ... ok
test_shortest_path.test_unweighted_path('D', False) ... ok
test_shortest_path.test_unweighted_path('BF', True) ... ok
test_shortest_path.test_unweighted_path('BF', False) ... ok
test_shortest_path.test_unweighted_path('J', True) ... ok
test_shortest_path.test_unweighted_path('J', False) ... ok
test_shortest_path.test_negative_cycles('FW', True) ... ok
test_shortest_path.test_negative_cycles('FW', False) ... ok
test_shortest_path.test_negative_cycles('J', True) ... ok
test_shortest_path.test_negative_cycles('J', False) ... ok
test_shortest_path.test_negative_cycles('BF', True) ... ok
test_shortest_path.test_negative_cycles('BF', False) ... ok
test_shortest_path.test_masked_input('auto',) ... ok
test_shortest_path.test_masked_input('FW',) ... ok
test_shortest_path.test_masked_input('D',) ... ok
test_shortest_path.test_masked_input('BF',) ... ok
test_shortest_path.test_masked_input('J',) ... ok
test_shortest_path.test_overwrite ... ok
test_spanning_tree.test_minimum_spanning_tree ... ok
test_traversal.test_graph_breadth_first ... ok
test_traversal.test_graph_depth_first ... ok
test_traversal.test_graph_breadth_first_trivial_graph ... ok
test_traversal.test_graph_depth_first_trivial_graph ... ok
test_bmatrix_smoketest (test_linsolve.TestLinsolve) ... ok
test_bvector_smoketest (test_linsolve.TestLinsolve) ... ok
test_example_comparison (test_linsolve.TestLinsolve) ... ok
test_gssv_badinput (test_linsolve.TestLinsolve) ... ok
test_ndarray_support (test_linsolve.TestLinsolve) ... ok
test_non_square (test_linsolve.TestLinsolve) ... ok
test_shape_compatibility (test_linsolve.TestLinsolve) ... ok
test_singular (test_linsolve.TestLinsolve) ... ok
test_singular_gh_3312 (test_linsolve.TestLinsolve) ... ok
test_sparsity_preservation (test_linsolve.TestLinsolve) ... ok
test_twodiags (test_linsolve.TestLinsolve) ... ok
test_linsolve.TestSplu.test_bad_inputs ... ok
test_linsolve.TestSplu.test_lu_attr ... ok
test_linsolve.TestSplu.test_lu_refcount ... ok
test_linsolve.TestSplu.test_spilu_nnz0 ... ok
test_linsolve.TestSplu.test_spilu_smoketest ... ok
test_linsolve.TestSplu.test_splu_basic ... ok
test_linsolve.TestSplu.test_splu_nnz0 ... ok
test_linsolve.TestSplu.test_splu_perm ... ok
test_linsolve.TestSplu.test_splu_smoketest ... ok
test_linsolve.TestSplu.test_superlu_dlamch_i386_nan ... ok
test_linsolve.TestSplu.test_threads_parallel ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, None, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, None, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, None, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, None, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, None, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, None, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'LA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, None, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, None, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'SA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, None, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, None, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'f', 2, 'BE', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, None, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, None, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, None, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, None, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, None, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, None, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'LA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, None, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, None, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'SA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, None, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, None, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <std-symmetric>, 'd', 2, 'BE', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, None, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, None, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, None, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, None, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, None, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, None, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'LA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, None, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, None, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'SA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, None, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, None, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'f', 2, 'BE', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, None, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, None, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, None, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, None, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, None, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, None, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'LA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, None, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, None, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'SA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, None, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, 0.5, <function aslinearoperator at 0x1ca60c8>, None, 'cayley') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, None, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'normal') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'buckling') ... ok
test_arpack.test_symmetric_modes(True, <gen-symmetric>, 'd', 2, 'BE', None, 0.5, <function asarray at 0x7f6e16b8f0c8>, None, 'cayley') ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LM', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LM', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SM', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SM', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LA', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LA', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LA', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'LA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SA', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SA', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SA', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'F', 2, 'SA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LM', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LM', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SM', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SM', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LA', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LA', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LA', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'LA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SA', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SA', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SA', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <std-hermitian>, 'D', 2, 'SA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LM', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LM', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SM', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SM', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LA', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LA', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LA', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'LA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SA', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SA', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SA', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'F', 2, 'SA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LM', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LM', None, 0.5, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LM', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SM', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SM', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SM', None, 0.5, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SM', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SM', None, 0.5, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LA', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LA', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LA', None, 0.5, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LA', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'LA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SA', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SA', None, 0.5, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SA', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SA', None, 0.5, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SA', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_hermitian_modes(True, <gen-hermitian>, 'D', 2, 'SA', None, 0.5, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_symmetric_starting_vector(True, <std-symmetric>, 'f', 1, 'LM', array([ 0.41269636,  0.00960835,  0.35408631,  0.01148503,  0.50139314, ... ok
test_arpack.test_symmetric_starting_vector(True, <std-symmetric>, 'd', 1, 'LM', array([ 0.56676437,  0.19022742,  0.45528289,  0.71284735,  0.77866285, ... ok
test_arpack.test_symmetric_starting_vector(True, <gen-symmetric>, 'f', 1, 'LM', array([ 0.14138307,  0.01164138,  0.71092969,  0.36212587,  0.34644246, ... ok
test_arpack.test_symmetric_starting_vector(True, <gen-symmetric>, 'd', 1, 'LM', array([ 0.46962556,  0.56231337,  0.87562271,  0.00308084,  0.84794618, ... ok
test_arpack.test_symmetric_starting_vector(True, <std-symmetric>, 'f', 2, 'LM', array([ 0.98596376,  0.85196507,  0.79026061,  0.10343032,  0.70278829, ... ok
test_arpack.test_symmetric_starting_vector(True, <std-symmetric>, 'd', 2, 'LM', array([ 0.53233171,  0.3101198 ,  0.67918398,  0.70867385,  0.33128772, ... ok
test_arpack.test_symmetric_starting_vector(True, <gen-symmetric>, 'f', 2, 'LM', array([ 0.70464522,  0.51724982,  0.67499   ,  0.81002331,  0.66976255, ... ok
test_arpack.test_symmetric_starting_vector(True, <gen-symmetric>, 'd', 2, 'LM', array([ 0.42437501,  0.48749626,  0.72897401,  0.58120501,  0.29981558, ... ok
test_arpack.test_symmetric_starting_vector(True, <std-symmetric>, 'f', 3, 'LM', array([ 0.08962601,  0.81984955,  0.35813275,  0.22546215,  0.12842874, ... ok
test_arpack.test_symmetric_starting_vector(True, <std-symmetric>, 'd', 3, 'LM', array([ 0.24999289,  0.76675923,  0.12279806,  0.27926745,  0.59434502, ... ok
test_arpack.test_symmetric_starting_vector(True, <gen-symmetric>, 'f', 3, 'LM', array([ 0.97633594,  0.59026343,  0.30687043,  0.51567054,  0.1712912 , ... ok
test_arpack.test_symmetric_starting_vector(True, <gen-symmetric>, 'd', 3, 'LM', array([ 0.06844307,  0.90287966,  0.30342479,  0.45676258,  0.00906532, ... ok
test_arpack.test_symmetric_starting_vector(True, <std-symmetric>, 'f', 4, 'LM', array([ 0.73214144,  0.62640047,  0.54344255,  0.80745506,  0.87415659, ... ok
test_arpack.test_symmetric_starting_vector(True, <std-symmetric>, 'd', 4, 'LM', array([ 0.16603075,  0.11532257,  0.67992713,  0.1599241 ,  0.0114733 , ... ok
test_arpack.test_symmetric_starting_vector(True, <gen-symmetric>, 'f', 4, 'LM', array([ 0.61669004,  0.34440598,  0.64905792,  0.36332896,  0.66675228, ... ok
test_arpack.test_symmetric_starting_vector(True, <gen-symmetric>, 'd', 4, 'LM', array([ 0.26326538,  0.9545484 ,  0.05326332,  0.51488055,  0.50778964, ... ok
test_arpack.test_symmetric_starting_vector(True, <std-symmetric>, 'f', 5, 'LM', array([ 0.80487007,  0.60510474,  0.19692439,  0.63565904,  0.91801673, ... ok
test_arpack.test_symmetric_starting_vector(True, <std-symmetric>, 'd', 5, 'LM', array([ 0.67410763,  0.48056736,  0.81938441,  0.69739442,  0.77492463, ... ok
test_arpack.test_symmetric_starting_vector(True, <gen-symmetric>, 'f', 5, 'LM', array([ 0.32776815,  0.49633607,  0.41503069,  0.109256  ,  0.42711499, ... ok
test_arpack.test_symmetric_starting_vector(True, <gen-symmetric>, 'd', 5, 'LM', array([ 0.63241427,  0.07749855,  0.13707459,  0.1603934 ,  0.48464977, ... ok
test_arpack.test_symmetric_no_convergence ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, None, <function aslinearoperator at 0x1ca60c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, 0.1, <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, None, <function asarray at 0x7f6e16b8f0c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LM', None, 0.1, <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, None, <function aslinearoperator at 0x1ca60c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, 0.1, <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, None, <function asarray at 0x7f6e16b8f0c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LR', None, 0.1, <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, None, <function aslinearoperator at 0x1ca60c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, 0.1, <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, None, <function asarray at 0x7f6e16b8f0c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'f', 2, 'LI', None, 0.1, <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, None, <function aslinearoperator at 0x1ca60c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, 0.1, <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, None, <function asarray at 0x7f6e16b8f0c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LM', None, 0.1, <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, None, <function aslinearoperator at 0x1ca60c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, 0.1, <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, None, <function asarray at 0x7f6e16b8f0c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LR', None, 0.1, <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, None, <function aslinearoperator at 0x1ca60c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, 0.1, <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, None, <function asarray at 0x7f6e16b8f0c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <std-real-nonsym>, 'd', 2, 'LI', None, 0.1, <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, None, <function aslinearoperator at 0x1ca60c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, 0.1, <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, None, <function asarray at 0x7f6e16b8f0c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LM', None, 0.1, <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, None, <function aslinearoperator at 0x1ca60c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, 0.1, <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, None, <function asarray at 0x7f6e16b8f0c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LR', None, 0.1, <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, None, <function aslinearoperator at 0x1ca60c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, 0.1, <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, None, <function asarray at 0x7f6e16b8f0c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'f', 2, 'LI', None, 0.1, <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, None, <function aslinearoperator at 0x1ca60c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, 0.1, <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, None, <function asarray at 0x7f6e16b8f0c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LM', None, 0.1, <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, None, <function aslinearoperator at 0x1ca60c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, 0.1, <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, None, <function asarray at 0x7f6e16b8f0c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LR', None, 0.1, <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, None, <class 'scipy.sparse.csr.csr_matrix'>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, None, <function aslinearoperator at 0x1ca60c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, 0.1, <function aslinearoperator at 0x1ca60c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, None, <function asarray at 0x7f6e16b8f0c8>, None) ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>, 'i') ... ok
test_arpack.test_real_nonsymmetric_modes(False, <gen-real-nonsym>, 'd', 2, 'LI', None, 0.1, <function asarray at 0x7f6e16b8f0c8>, 'r') ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LM', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LM', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LM', None, 0.1, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LM', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LM', None, 0.1, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LR', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LR', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LR', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LR', None, 0.1, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LR', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LR', None, 0.1, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LI', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LI', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LI', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LI', None, 0.1, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LI', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'D', 2, 'LI', None, 0.1, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LM', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LM', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LM', None, 0.1, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LM', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LM', None, 0.1, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LR', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LR', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LR', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LR', None, 0.1, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LR', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LR', None, 0.1, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LI', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LI', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LI', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LI', None, 0.1, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LI', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <std-cmplx-nonsym>, 'F', 2, 'LI', None, 0.1, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', None, 0.1, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', None, 0.1, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LR', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LR', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LR', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LR', None, 0.1, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LR', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LR', None, 0.1, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LI', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LI', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LI', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LI', None, 0.1, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LI', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'D', 2, 'LI', None, 0.1, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', None, 0.1, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', None, 0.1, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LR', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LR', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LR', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LR', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LR', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LR', None, 0.1, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LR', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LR', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LR', None, 0.1, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LI', None, None, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LI', None, (0.1+0.1j), <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LI', None, 0.1, <class 'scipy.sparse.csr.csr_matrix'>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LI', None, None, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LI', None, (0.1+0.1j), <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LI', None, 0.1, <function aslinearoperator at 0x1ca60c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LI', None, None, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LI', None, (0.1+0.1j), <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_complex_nonsymmetric_modes(False, <gen-cmplx-nonsym>, 'F', 2, 'LI', None, 0.1, <function asarray at 0x7f6e16b8f0c8>) ... ok
test_arpack.test_standard_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'F', 1, 'LM', array([ 0.41269636+0.j,  0.00960835+0.j,  0.35408631+0.j,  0.01148503+0.j, ... ok
test_arpack.test_standard_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'D', 1, 'LM', array([ 0.56676437+0.j,  0.19022742+0.j,  0.45528289+0.j,  0.71284735+0.j, ... ok
test_arpack.test_standard_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'F', 1, 'LM', array([ 0.14138307+0.j,  0.01164138+0.j,  0.71092969+0.j,  0.36212587+0.j, ... ok
test_arpack.test_standard_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'D', 1, 'LM', array([ 0.46962556+0.j,  0.56231337+0.j,  0.87562271+0.j,  0.00308084+0.j, ... ok
test_arpack.test_standard_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'F', 2, 'LM', array([ 0.98596376+0.j,  0.85196507+0.j,  0.79026061+0.j,  0.10343032+0.j, ... ok
test_arpack.test_standard_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'D', 2, 'LM', array([ 0.53233171+0.j,  0.31011980+0.j,  0.67918398+0.j,  0.70867385+0.j, ... ok
test_arpack.test_standard_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', array([ 0.70464522+0.j,  0.51724982+0.j,  0.67499000+0.j,  0.81002331+0.j, ... ok
test_arpack.test_standard_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', array([ 0.42437501+0.j,  0.48749626+0.j,  0.72897401+0.j,  0.58120501+0.j, ... ok
test_arpack.test_standard_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'F', 3, 'LM', array([ 0.08962601+0.j,  0.81984955+0.j,  0.35813275+0.j,  0.22546215+0.j, ... ok
test_arpack.test_standard_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'D', 3, 'LM', array([ 0.24999289+0.j,  0.76675923+0.j,  0.12279806+0.j,  0.27926745+0.j, ... ok
test_arpack.test_standard_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'F', 3, 'LM', array([ 0.97633594+0.j,  0.59026343+0.j,  0.30687043+0.j,  0.51567054+0.j, ... ok
test_arpack.test_standard_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'D', 3, 'LM', array([ 0.06844307+0.j,  0.90287966+0.j,  0.30342479+0.j,  0.45676258+0.j, ... ok
test_arpack.test_standard_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'F', 4, 'LM', array([ 0.73214144+0.j,  0.62640047+0.j,  0.54344255+0.j,  0.80745506+0.j, ... ok
test_arpack.test_standard_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'D', 4, 'LM', array([ 0.16603075+0.j,  0.11532257+0.j,  0.67992713+0.j,  0.15992410+0.j, ... ok
test_arpack.test_standard_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'F', 4, 'LM', array([ 0.61669004+0.j,  0.34440598+0.j,  0.64905792+0.j,  0.36332896+0.j, ... ok
test_arpack.test_standard_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'D', 4, 'LM', array([ 0.26326538+0.j,  0.95454840+0.j,  0.05326332+0.j,  0.51488055+0.j, ... ok
test_arpack.test_general_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'F', 1, 'LM', array([ 0.41269636+0.j,  0.00960835+0.j,  0.35408631+0.j,  0.01148503+0.j, ... ok
test_arpack.test_general_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'D', 1, 'LM', array([ 0.56676437+0.j,  0.19022742+0.j,  0.45528289+0.j,  0.71284735+0.j, ... ok
test_arpack.test_general_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'F', 1, 'LM', array([ 0.14138307+0.j,  0.01164138+0.j,  0.71092969+0.j,  0.36212587+0.j, ... ok
test_arpack.test_general_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'D', 1, 'LM', array([ 0.46962556+0.j,  0.56231337+0.j,  0.87562271+0.j,  0.00308084+0.j, ... ok
test_arpack.test_general_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'F', 2, 'LM', array([ 0.98596376+0.j,  0.85196507+0.j,  0.79026061+0.j,  0.10343032+0.j, ... ok
test_arpack.test_general_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'D', 2, 'LM', array([ 0.53233171+0.j,  0.31011980+0.j,  0.67918398+0.j,  0.70867385+0.j, ... ok
test_arpack.test_general_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'F', 2, 'LM', array([ 0.70464522+0.j,  0.51724982+0.j,  0.67499000+0.j,  0.81002331+0.j, ... ok
test_arpack.test_general_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'D', 2, 'LM', array([ 0.42437501+0.j,  0.48749626+0.j,  0.72897401+0.j,  0.58120501+0.j, ... ok
test_arpack.test_general_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'F', 3, 'LM', array([ 0.08962601+0.j,  0.81984955+0.j,  0.35813275+0.j,  0.22546215+0.j, ... ok
test_arpack.test_general_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'D', 3, 'LM', array([ 0.24999289+0.j,  0.76675923+0.j,  0.12279806+0.j,  0.27926745+0.j, ... ok
test_arpack.test_general_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'F', 3, 'LM', array([ 0.97633594+0.j,  0.59026343+0.j,  0.30687043+0.j,  0.51567054+0.j, ... ok
test_arpack.test_general_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'D', 3, 'LM', array([ 0.06844307+0.j,  0.90287966+0.j,  0.30342479+0.j,  0.45676258+0.j, ... ok
test_arpack.test_general_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'F', 4, 'LM', array([ 0.73214144+0.j,  0.62640047+0.j,  0.54344255+0.j,  0.80745506+0.j, ... ok
test_arpack.test_general_nonsymmetric_starting_vector(False, <std-cmplx-nonsym>, 'D', 4, 'LM', array([ 0.16603075+0.j,  0.11532257+0.j,  0.67992713+0.j,  0.15992410+0.j, ... ok
test_arpack.test_general_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'F', 4, 'LM', array([ 0.61669004+0.j,  0.34440598+0.j,  0.64905792+0.j,  0.36332896+0.j, ... ok
test_arpack.test_general_nonsymmetric_starting_vector(False, <gen-cmplx-nonsym>, 'D', 4, 'LM', array([ 0.26326538+0.j,  0.95454840+0.j,  0.05326332+0.j,  0.51488055+0.j, ... ok
test_arpack.test_standard_nonsymmetric_no_convergence ... ok
test_arpack.test_eigen_bad_shapes ... ok
test_arpack.test_eigen_bad_kwargs ... ok
test_arpack.test_ticket_1459_arpack_crash ... ok
test_arpack.svd_test_input_check ... ok
test_arpack.test_svd_simple_real ... ok
test_arpack.test_svd_simple_complex ... ok
test_arpack.test_svd_maxiter ... ok
test_arpack.test_svd_return ... ok
test_arpack.test_svd_which ... ok
test_arpack.test_svd_v0 ... ok
test_arpack.test_svd_LM_ones_matrix ... ok
test_arpack.test_svd_LM_zeros_matrix ... ok
test_arpack.test_svd_LM_zeros_matrix_gh_3452 ... ok
test_arpack.test_svd_linop ... ok
test_arpack.test_linearoperator_deallocation ... ok
test_arpack.test_svds_partial_return ... ok
test_arpack.test_svds_wrong_eigen_type ... ok
test_arpack.test_parallel_threads ... ok
test_arpack.test_reentering ... ok
test_arpack.test_regression_arpackng_1315 ... ok
test_lobpcg.test_Small ... ok
test_lobpcg.test_ElasticRod ... ok
test_lobpcg.test_MikotaPair ... ok
test_lobpcg.test_trivial ... ok
test_lobpcg.test_regression ... ok
test_lobpcg.test_diagonal ... ok
test_lobpcg.test_fiedler_small_8 ... ok
test_lobpcg.test_fiedler_large_12 ... ok
test_abi (test_iterative.TestGMRES) ... ok
test_callback (test_iterative.TestGMRES) ... ok
Check that QMR works with left and right preconditioners ... ok
test_iterative.test_maxiter(<function cg at 0x1ca8b18>, <poisson1d>) ... ok
test_iterative.test_maxiter(<function cgs at 0x1ca8cf8>, <poisson1d>) ... ok
test_iterative.test_maxiter(<function bicg at 0x1ca87d0>, <poisson1d>) ... ok
test_iterative.test_maxiter(<function bicgstab at 0x1ca8938>, <poisson1d>) ... ok
test_iterative.test_maxiter(<function gmres at 0x1ca8e60>, <poisson1d>) ... ok
test_iterative.test_maxiter(<function qmr at 0x1cad050>, <poisson1d>) ... ok
test_iterative.test_maxiter(<function minres at 0x1ca8f50>, <poisson1d>) ... ok
test_iterative.test_maxiter(<function lgmres at 0x1ca8578>, <poisson1d>) ... ok
test_iterative.test_convergence(<function cg at 0x1ca8b18>, <poisson1d>) ... ok
test_iterative.test_convergence(<function cg at 0x1ca8b18>, <poisson1d>) ... ok
test_iterative.test_convergence(<function cg at 0x1ca8b18>, <rand-sym-pd>) ... ok
test_iterative.test_convergence(<function cg at 0x1ca8b18>, <rand-sym-pd>) ... ok
test_iterative.test_convergence(<function cg at 0x1ca8b18>, <rand-cmplx-sym-pd>) ... ok
test_iterative.test_convergence(<function cg at 0x1ca8b18>, <rand-cmplx-sym-pd>) ... ok
test_iterative.test_convergence(<function cgs at 0x1ca8cf8>, <poisson1d>) ... ok
test_iterative.test_convergence(<function cgs at 0x1ca8cf8>, <poisson1d>) ... ok
test_iterative.test_convergence(<function cgs at 0x1ca8cf8>, <neg-poisson1d>) ... ok
test_iterative.test_convergence(<function cgs at 0x1ca8cf8>, <neg-poisson1d>) ... ok
test_iterative.test_convergence(<function cgs at 0x1ca8cf8>, <rand-diag>) ... ok
test_iterative.test_convergence(<function cgs at 0x1ca8cf8>, <rand-diag>) ... ok
test_iterative.test_convergence(<function cgs at 0x1ca8cf8>, <rand>) ... ok
test_iterative.test_convergence(<function cgs at 0x1ca8cf8>, <rand>) ... ok
test_iterative.test_convergence(<function cgs at 0x1ca8cf8>, <rand-sym>) ... ok
test_iterative.test_convergence(<function cgs at 0x1ca8cf8>, <rand-sym>) ... ok
test_iterative.test_convergence(<function cgs at 0x1ca8cf8>, <rand-sym-pd>) ... ok
test_iterative.test_convergence(<function cgs at 0x1ca8cf8>, <rand-sym-pd>) ... ok
test_iterative.test_convergence(<function cgs at 0x1ca8cf8>, <rand-cmplx>) ... ok
test_iterative.test_convergence(<function cgs at 0x1ca8cf8>, <rand-cmplx>) ... ok
test_iterative.test_convergence(<function cgs at 0x1ca8cf8>, <rand-cmplx-herm>) ... ok
test_iterative.test_convergence(<function cgs at 0x1ca8cf8>, <rand-cmplx-herm>) ... ok
test_iterative.test_convergence(<function cgs at 0x1ca8cf8>, <rand-cmplx-sym-pd>) ... ok
test_iterative.test_convergence(<function cgs at 0x1ca8cf8>, <rand-cmplx-sym-pd>) ... ok
test_iterative.test_convergence(<function bicg at 0x1ca87d0>, <poisson1d>) ... ok
test_iterative.test_convergence(<function bicg at 0x1ca87d0>, <poisson1d>) ... ok
test_iterative.test_convergence(<function bicg at 0x1ca87d0>, <neg-poisson1d>) ... ok
test_iterative.test_convergence(<function bicg at 0x1ca87d0>, <neg-poisson1d>) ... ok
test_iterative.test_convergence(<function bicg at 0x1ca87d0>, <rand-diag>) ... ok
test_iterative.test_convergence(<function bicg at 0x1ca87d0>, <rand-diag>) ... ok
test_iterative.test_convergence(<function bicg at 0x1ca87d0>, <rand>) ... ok
test_iterative.test_convergence(<function bicg at 0x1ca87d0>, <rand>) ... ok
test_iterative.test_convergence(<function bicg at 0x1ca87d0>, <rand-sym>) ... ok
test_iterative.test_convergence(<function bicg at 0x1ca87d0>, <rand-sym>) ... ok
test_iterative.test_convergence(<function bicg at 0x1ca87d0>, <rand-sym-pd>) ... ok
test_iterative.test_convergence(<function bicg at 0x1ca87d0>, <rand-sym-pd>) ... ok
test_iterative.test_convergence(<function bicg at 0x1ca87d0>, <rand-cmplx>) ... ok
test_iterative.test_convergence(<function bicg at 0x1ca87d0>, <rand-cmplx>) ... ok
test_iterative.test_convergence(<function bicg at 0x1ca87d0>, <rand-cmplx-herm>) ... ok
test_iterative.test_convergence(<function bicg at 0x1ca87d0>, <rand-cmplx-herm>) ... ok
test_iterative.test_convergence(<function bicg at 0x1ca87d0>, <rand-cmplx-sym-pd>) ... ok
test_iterative.test_convergence(<function bicg at 0x1ca87d0>, <rand-cmplx-sym-pd>) ... ok
test_iterative.test_convergence(<function bicgstab at 0x1ca8938>, <poisson1d>) ... ok
test_iterative.test_convergence(<function bicgstab at 0x1ca8938>, <poisson1d>) ... ok
test_iterative.test_convergence(<function bicgstab at 0x1ca8938>, <neg-poisson1d>) ... ok
test_iterative.test_convergence(<function bicgstab at 0x1ca8938>, <neg-poisson1d>) ... ok
test_iterative.test_convergence(<function bicgstab at 0x1ca8938>, <rand-diag>) ... ok
test_iterative.test_convergence(<function bicgstab at 0x1ca8938>, <rand-diag>) ... ok
test_iterative.test_convergence(<function bicgstab at 0x1ca8938>, <rand>) ... ok
test_iterative.test_convergence(<function bicgstab at 0x1ca8938>, <rand>) ... ok
test_iterative.test_convergence(<function bicgstab at 0x1ca8938>, <rand-sym>) ... ok
test_iterative.test_convergence(<function bicgstab at 0x1ca8938>, <rand-sym>) ... ok
test_iterative.test_convergence(<function bicgstab at 0x1ca8938>, <rand-sym-pd>) ... ok
test_iterative.test_convergence(<function bicgstab at 0x1ca8938>, <rand-sym-pd>) ... ok
test_iterative.test_convergence(<function bicgstab at 0x1ca8938>, <rand-cmplx>) ... ok
test_iterative.test_convergence(<function bicgstab at 0x1ca8938>, <rand-cmplx>) ... ok
test_iterative.test_convergence(<function bicgstab at 0x1ca8938>, <rand-cmplx-herm>) ... ok
test_iterative.test_convergence(<function bicgstab at 0x1ca8938>, <rand-cmplx-herm>) ... ok
test_iterative.test_convergence(<function bicgstab at 0x1ca8938>, <rand-cmplx-sym-pd>) ... ok
test_iterative.test_convergence(<function bicgstab at 0x1ca8938>, <rand-cmplx-sym-pd>) ... ok
test_iterative.test_convergence(<function bicgstab at 0x1ca8938>, <nonsymposdef>) ... ok
test_iterative.test_convergence(<function bicgstab at 0x1ca8938>, <nonsymposdef>) ... ok
test_iterative.test_convergence(<function gmres at 0x1ca8e60>, <poisson1d>) ... ok
test_iterative.test_convergence(<function gmres at 0x1ca8e60>, <poisson1d>) ... ok
test_iterative.test_convergence(<function gmres at 0x1ca8e60>, <neg-poisson1d>) ... ok
test_iterative.test_convergence(<function gmres at 0x1ca8e60>, <neg-poisson1d>) ... ok
test_iterative.test_convergence(<function gmres at 0x1ca8e60>, <rand-diag>) ... ok
test_iterative.test_convergence(<function gmres at 0x1ca8e60>, <rand-diag>) ... ok
test_iterative.test_convergence(<function gmres at 0x1ca8e60>, <rand>) ... ok
test_iterative.test_convergence(<function gmres at 0x1ca8e60>, <rand>) ... ok
test_iterative.test_convergence(<function gmres at 0x1ca8e60>, <rand-sym>) ... ok
test_iterative.test_convergence(<function gmres at 0x1ca8e60>, <rand-sym>) ... ok
test_iterative.test_convergence(<function gmres at 0x1ca8e60>, <rand-sym-pd>) ... ok
test_iterative.test_convergence(<function gmres at 0x1ca8e60>, <rand-sym-pd>) ... ok
test_iterative.test_convergence(<function gmres at 0x1ca8e60>, <rand-cmplx>) ... ok
test_iterative.test_convergence(<function gmres at 0x1ca8e60>, <rand-cmplx>) ... ok
test_iterative.test_convergence(<function gmres at 0x1ca8e60>, <rand-cmplx-herm>) ... ok
test_iterative.test_convergence(<function gmres at 0x1ca8e60>, <rand-cmplx-herm>) ... ok
test_iterative.test_convergence(<function gmres at 0x1ca8e60>, <rand-cmplx-sym-pd>) ... ok
test_iterative.test_convergence(<function gmres at 0x1ca8e60>, <rand-cmplx-sym-pd>) ... ok
test_iterative.test_convergence(<function gmres at 0x1ca8e60>, <nonsymposdef>) ... ok
test_iterative.test_convergence(<function gmres at 0x1ca8e60>, <nonsymposdef>) ... ok
test_iterative.test_convergence(<function qmr at 0x1cad050>, <poisson1d>) ... ok
test_iterative.test_convergence(<function qmr at 0x1cad050>, <poisson1d>) ... ok
test_iterative.test_convergence(<function qmr at 0x1cad050>, <neg-poisson1d>) ... ok
test_iterative.test_convergence(<function qmr at 0x1cad050>, <neg-poisson1d>) ... ok
test_iterative.test_convergence(<function qmr at 0x1cad050>, <rand-diag>) ... ok
test_iterative.test_convergence(<function qmr at 0x1cad050>, <rand-diag>) ... ok
test_iterative.test_convergence(<function qmr at 0x1cad050>, <rand>) ... ok
test_iterative.test_convergence(<function qmr at 0x1cad050>, <rand>) ... ok
test_iterative.test_convergence(<function qmr at 0x1cad050>, <rand-sym>) ... ok
test_iterative.test_convergence(<function qmr at 0x1cad050>, <rand-sym>) ... ok
test_iterative.test_convergence(<function qmr at 0x1cad050>, <rand-sym-pd>) ... ok
test_iterative.test_convergence(<function qmr at 0x1cad050>, <rand-sym-pd>) ... ok
test_iterative.test_convergence(<function qmr at 0x1cad050>, <rand-cmplx>) ... ok
test_iterative.test_convergence(<function qmr at 0x1cad050>, <rand-cmplx>) ... ok
test_iterative.test_convergence(<function qmr at 0x1cad050>, <rand-cmplx-herm>) ... ok
test_iterative.test_convergence(<function qmr at 0x1cad050>, <rand-cmplx-herm>) ... ok
test_iterative.test_convergence(<function qmr at 0x1cad050>, <rand-cmplx-sym-pd>) ... ok
test_iterative.test_convergence(<function qmr at 0x1cad050>, <rand-cmplx-sym-pd>) ... ok
test_iterative.test_convergence(<function minres at 0x1ca8f50>, <poisson1d>) ... ok
test_iterative.test_convergence(<function minres at 0x1ca8f50>, <neg-poisson1d>) ... ok
test_iterative.test_convergence(<function minres at 0x1ca8f50>, <rand-diag>) ... ok
test_iterative.test_convergence(<function minres at 0x1ca8f50>, <rand-diag>) ... ok
test_iterative.test_convergence(<function minres at 0x1ca8f50>, <rand-sym>) ... ok
test_iterative.test_convergence(<function minres at 0x1ca8f50>, <rand-sym>) ... ok
test_iterative.test_convergence(<function minres at 0x1ca8f50>, <rand-sym-pd>) ... ok
test_iterative.test_convergence(<function lgmres at 0x1ca8578>, <poisson1d>) ... ok
test_iterative.test_convergence(<function lgmres at 0x1ca8578>, <poisson1d>) ... ok
test_iterative.test_convergence(<function lgmres at 0x1ca8578>, <neg-poisson1d>) ... ok
test_iterative.test_convergence(<function lgmres at 0x1ca8578>, <neg-poisson1d>) ... ok
test_iterative.test_convergence(<function lgmres at 0x1ca8578>, <rand-diag>) ... ok
test_iterative.test_convergence(<function lgmres at 0x1ca8578>, <rand-diag>) ... ok
test_iterative.test_convergence(<function lgmres at 0x1ca8578>, <rand>) ... ok
test_iterative.test_convergence(<function lgmres at 0x1ca8578>, <rand>) ... ok
test_iterative.test_convergence(<function lgmres at 0x1ca8578>, <rand-sym>) ... ok
test_iterative.test_convergence(<function lgmres at 0x1ca8578>, <rand-sym>) ... ok
test_iterative.test_convergence(<function lgmres at 0x1ca8578>, <rand-sym-pd>) ... ok
test_iterative.test_convergence(<function lgmres at 0x1ca8578>, <rand-sym-pd>) ... ok
test_iterative.test_convergence(<function lgmres at 0x1ca8578>, <rand-cmplx>) ... ok
test_iterative.test_convergence(<function lgmres at 0x1ca8578>, <rand-cmplx>) ... ok
test_iterative.test_convergence(<function lgmres at 0x1ca8578>, <rand-cmplx-herm>) ... ok
test_iterative.test_convergence(<function lgmres at 0x1ca8578>, <rand-cmplx-herm>) ... ok
test_iterative.test_convergence(<function lgmres at 0x1ca8578>, <rand-cmplx-sym-pd>) ... ok
test_iterative.test_convergence(<function lgmres at 0x1ca8578>, <rand-cmplx-sym-pd>) ... ok
test_iterative.test_convergence(<function lgmres at 0x1ca8578>, <nonsymposdef>) ... ok
test_iterative.test_convergence(<function lgmres at 0x1ca8578>, <nonsymposdef>) ... ok
test_iterative.test_precond_dummy(<function cg at 0x1ca8b18>, <poisson1d>) ... ok
test_iterative.test_precond_dummy(<function cgs at 0x1ca8cf8>, <poisson1d>) ... ok
test_iterative.test_precond_dummy(<function bicg at 0x1ca87d0>, <poisson1d>) ... ok
test_iterative.test_precond_dummy(<function bicgstab at 0x1ca8938>, <poisson1d>) ... ok
test_iterative.test_precond_dummy(<function gmres at 0x1ca8e60>, <poisson1d>) ... ok
test_iterative.test_precond_dummy(<function qmr at 0x1cad050>, <poisson1d>) ... ok
test_iterative.test_precond_dummy(<function minres at 0x1ca8f50>, <poisson1d>) ... ok
test_iterative.test_precond_dummy(<function lgmres at 0x1ca8578>, <poisson1d>) ... ok
test_iterative.test_gmres_basic ... ok
test_iterative.test_reentrancy(<function lgmres at 0x1ca8578>, True) ... ok
test_iterative.test_reentrancy(<function minres at 0x1ca8f50>, True) ... ok
test_iterative.test_reentrancy(<function cg at 0x1ca8b18>, False) ... ok
test_iterative.test_reentrancy(<function cgs at 0x1ca8cf8>, False) ... ok
test_iterative.test_reentrancy(<function bicg at 0x1ca87d0>, False) ... ok
test_iterative.test_reentrancy(<function bicgstab at 0x1ca8938>, False) ... ok
test_iterative.test_reentrancy(<function gmres at 0x1ca8e60>, False) ... ok
test_iterative.test_reentrancy(<function qmr at 0x1cad050>, False) ... ok
test_arnoldi (test_lgmres.TestLGMRES) ... ok
test_breakdown_underdetermined (test_lgmres.TestLGMRES) ... ok
test_breakdown_with_outer_v (test_lgmres.TestLGMRES) ... ok
test_cornercase (test_lgmres.TestLGMRES) ... ok
test_denormals (test_lgmres.TestLGMRES) ... ok
test_nans (test_lgmres.TestLGMRES) ... ok
test_outer_v (test_lgmres.TestLGMRES) ... ok
test_preconditioner (test_lgmres.TestLGMRES) ... ok
test_lsmr.TestLSMR.testBidiagonalA ... ok
test_lsmr.TestLSMR.testColumnB ... ok
test_lsmr.TestLSMR.testIdentityACase1 ... ok
test_lsmr.TestLSMR.testIdentityACase2 ... ok
test_lsmr.TestLSMR.testIdentityACase3 ... ok
test_lsmr.TestLSMR.testScalarB ... ok
test_lsmr.TestLSMRReturns.testNormar ... ok
test_lsmr.TestLSMRReturns.testNormr ... ok
test_lsmr.TestLSMRReturns.testNormx ... ok
test_lsqr.test_basic ... ok
test_lsqr.test_gh_2466 ... ok
test_lsqr.test_well_conditioned_problems ... ok
test_lsqr.test_b_shapes ... ok
test_utils.test_make_system_bad_shape ... ok
test_expm_multiply_interval_matrix (test_expm_multiply.TestExpmActionInterval) ... ok
test_expm_multiply_interval_status_0 (test_expm_multiply.TestExpmActionInterval) ... ok
test_expm_multiply_interval_status_1 (test_expm_multiply.TestExpmActionInterval) ... ok
test_expm_multiply_interval_status_2 (test_expm_multiply.TestExpmActionInterval) ... ok
test_expm_multiply_interval_vector (test_expm_multiply.TestExpmActionInterval) ... ok
test_sparse_expm_multiply_interval (test_expm_multiply.TestExpmActionInterval) ... ok
test_complex (test_expm_multiply.TestExpmActionSimple) ... ok
test_expm_multiply (test_expm_multiply.TestExpmActionSimple) ... ok
test_matrix_vector_multiply (test_expm_multiply.TestExpmActionSimple) ... ok
test_onenormest_matrix_power (test_expm_multiply.TestExpmActionSimple) ... ok
test_p_max_default (test_expm_multiply.TestExpmActionSimple) ... ok
test_p_max_range (test_expm_multiply.TestExpmActionSimple) ... ok
test_scaled_expm_multiply (test_expm_multiply.TestExpmActionSimple) ... ok
test_scaled_expm_multiply_single_timepoint (test_expm_multiply.TestExpmActionSimple) ... ok
test_sparse_expm_multiply (test_expm_multiply.TestExpmActionSimple) ... ok
test_theta_monotonicity (test_expm_multiply.TestExpmActionSimple) ... ok
test_basic (test_interface.TestAsLinearOperator) ... ok
test_dot (test_interface.TestAsLinearOperator) ... ok
test_matmul (test_interface.TestLinearOperator) ... SKIP: matmul is only tested in Python 3.5+
test_matvec (test_interface.TestLinearOperator) ... ok
test_interface.test_repr ... ok
test_interface.test_identity ... ok
test_interface.test_attributes ... ok
test_interface.test_pickle ... ok
test_interface.test_inheritance ... ok
test_interface.test_dtypes_of_operator_sum ... ok
test_bidiagonal_sparse (test_matfuncs.TestExpM) ... ok
test_burkardt_1 (test_matfuncs.TestExpM) ... ok
test_burkardt_10 (test_matfuncs.TestExpM) ... ok
test_burkardt_11 (test_matfuncs.TestExpM) ... ok
test_burkardt_12 (test_matfuncs.TestExpM) ... ok
test_burkardt_13 (test_matfuncs.TestExpM) ... ok
test_burkardt_14 (test_matfuncs.TestExpM) ... ok
test_burkardt_2 (test_matfuncs.TestExpM) ... ok
test_burkardt_3 (test_matfuncs.TestExpM) ... ok
test_burkardt_4 (test_matfuncs.TestExpM) ... ok
test_burkardt_5 (test_matfuncs.TestExpM) ... ok
test_burkardt_6 (test_matfuncs.TestExpM) ... ok
test_burkardt_7 (test_matfuncs.TestExpM) ... ok
test_burkardt_8 (test_matfuncs.TestExpM) ... ok
test_burkardt_9 (test_matfuncs.TestExpM) ... ok
test_integer_matrix (test_matfuncs.TestExpM) ... ok
test_logm_consistency (test_matfuncs.TestExpM) ... ok
test_misc_types (test_matfuncs.TestExpM) ... ok
test_padecases_dtype_complex (test_matfuncs.TestExpM) ... ok
test_padecases_dtype_float (test_matfuncs.TestExpM) ... ok
test_padecases_dtype_sparse_complex (test_matfuncs.TestExpM) ... ok
test_padecases_dtype_sparse_float (test_matfuncs.TestExpM) ... ok
test_triangularity_perturbation (test_matfuncs.TestExpM) ... ok
test_zero_matrix (test_matfuncs.TestExpM) ... ok
test_zero_ndarray (test_matfuncs.TestExpM) ... ok
test_zero_sparse (test_matfuncs.TestExpM) ... ok
test_matrix_power_operator (test_matfuncs.TestOperators) ... ok
test_product_operator (test_matfuncs.TestOperators) ... ok
test_matfuncs.test_onenorm_matrix_power_nnm ... ok
test_matrix_norm (test_norm.TestNorm) ... ok
test_matrix_norm_axis (test_norm.TestNorm) ... ok
test_norm_exceptions (test_norm.TestNorm) ... ok
test_vector_norm (test_norm.TestNorm) ... ok
test_sparse_matrix_norms (test_norm.TestVsNumpyNorm) ... ok
test_sparse_matrix_norms_with_axis (test_norm.TestVsNumpyNorm) ... ok
test_sparse_vector_norms (test_norm.TestVsNumpyNorm) ... ok
test_randn_inv (test_onenormest.TestAlgorithm_2_2) ... ok
test_onenormest_linear_operator (test_onenormest.TestOnenormest) ... ok
test_onenormest_table_3_t_2 (test_onenormest.TestOnenormest) ... SKIP: Skipping test: test_onenormest_table_3_t_2: this test is annoyingly slow
test_onenormest_table_4_t_7 (test_onenormest.TestOnenormest) ... SKIP: Skipping test: test_onenormest_table_4_t_7: this test is annoyingly slow
test_onenormest_table_5_t_1 (test_onenormest.TestOnenormest) ... ok
test_onenormest_table_6_t_1 (test_onenormest.TestOnenormest) ... SKIP: Skipping test: test_onenormest_table_6_t_1: this test is annoyingly slow
test_returns (test_onenormest.TestOnenormest) ... ok
test_base.Test64Bit.test_decorator_maxval_limit(<class 'scipy.sparse.bsr.bsr_matrix'>,) ... ok
test_base.Test64Bit.test_decorator_maxval_limit(<class 'scipy.sparse.coo.coo_matrix'>,) ... ok
test_base.Test64Bit.test_decorator_maxval_limit(<class 'scipy.sparse.csc.csc_matrix'>,) ... ok
test_base.Test64Bit.test_decorator_maxval_limit(<class 'scipy.sparse.csr.csr_matrix'>,) ... ok
test_base.Test64Bit.test_decorator_maxval_limit(<class 'scipy.sparse.dia.dia_matrix'>,) ... ok
test_base.Test64Bit.test_decorator_maxval_random(<class 'scipy.sparse.bsr.bsr_matrix'>,) ... ok
test_base.Test64Bit.test_decorator_maxval_random(<class 'scipy.sparse.coo.coo_matrix'>,) ... ok
test_base.Test64Bit.test_decorator_maxval_random(<class 'scipy.sparse.csc.csc_matrix'>,) ... ok
test_base.Test64Bit.test_decorator_maxval_random(<class 'scipy.sparse.csr.csr_matrix'>,) ... ok
test_base.Test64Bit.test_decorator_maxval_random(<class 'scipy.sparse.dia.dia_matrix'>,) ... ok
test_base.Test64Bit.test_downcast_intp ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_abs') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_add') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_add0') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_astype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_bad_index') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_bad_index_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_bool') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_bsr_matvec') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_bsr_matvecs') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_constructor2') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_constructor3') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_constructor4') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_copy') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_dtype_preservation') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_eliminate_zeros') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_ellipsis_slicing') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_empty') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_eq') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_fancy_assign_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_fancy_assign_list') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_fancy_assign_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_fancy_assign_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_fancy_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_fancy_indexing_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_fancy_indexing_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_fancy_indexing_multidim_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_fancy_indexing_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_fancy_indexing_randomized') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_fancy_indexing_regression_3087') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_fancy_indexing_seq_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_fancy_indexing_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_fancy_indexing_sparse_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_from_array') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_from_list') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_ge') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_get_horiz_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_get_slices') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_get_vert_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_getcol') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_getelement') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_getnnz_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_getrow') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_gt') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_imag') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_index_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_inv') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_iterator') ... KNOWNFAIL: BSR does not have a __getitem__
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_le') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_lt') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_matvec') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_mean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_minmax') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_minmax_axis') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_minmax_invalid_params') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_mu') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_ne') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_neg') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_non_unit_stride_2d_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_pow') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_radd') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_real') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_repr') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_rsub') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_scalar_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_scalar_idx_dtype') ... SKIP: Skipping test: check: test implemented in base class
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_self_self_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_sequence_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_set_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_setdiag') ... KNOWNFAIL: BSR does not have a __setitem__
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_setelement') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_slice_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_slice_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_slice_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_slicing_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_sparsity_modifying_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_str') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_sub') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_sum') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_toarray') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_todense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_transpose') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_no_64(<class 'test_base.TestBSR'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_abs') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_add') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_add0') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_astype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_bad_index') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_bad_index_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_bool') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_constructor2') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_constructor3') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_constructor4') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_copy') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_dtype_preservation') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_eliminate_zeros') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_ellipsis_slicing') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_empty') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_eq') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_fancy_assign_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_fancy_assign_list') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_fancy_assign_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_fancy_assign_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_fancy_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_fancy_indexing_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_fancy_indexing_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_fancy_indexing_multidim_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_fancy_indexing_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_fancy_indexing_randomized') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_fancy_indexing_regression_3087') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_fancy_indexing_seq_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_fancy_indexing_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_fancy_indexing_sparse_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_from_array') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_from_list') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_ge') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_get_horiz_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_get_slices') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_get_vert_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_getcol') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_getelement') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_getnnz_axis') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_getrow') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_gt') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_imag') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_index_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_inv') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_iterator') ... KNOWNFAIL: COO does not have a __getitem__
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_le') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_lt') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_matvec') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_mean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_minmax') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_minmax_axis') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_minmax_invalid_params') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_mu') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_ne') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_neg') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_non_unit_stride_2d_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_pow') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_radd') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_real') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_repr') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_rsub') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_scalar_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_self_self_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_sequence_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_set_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_setelement') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_slice_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_slice_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_slice_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_slicing_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_sparsity_modifying_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_str') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_sub') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_sum') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_sum_duplicates') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_toarray') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_todense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_todia_all_zeros') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_todok_duplicates') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_transpose') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_no_64(<class 'test_base.TestCOO'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_abs') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_add') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_add0') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_astype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_bad_index') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_bad_index_assign') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_bool') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_constructor2') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_constructor3') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_constructor4') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_constructor5') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_constructor6') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_copy') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_dtype_preservation') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_eliminate_zeros') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_ellipsis_slicing') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_empty') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_eq') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_fancy_assign_empty') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_fancy_assign_list') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_fancy_assign_ndarray') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_fancy_assign_slice') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing_boolean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing_broadcast') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing_empty') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing_multidim_set') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing_ndarray') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing_randomized') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing_regression_3087') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing_seq_assign') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing_set') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing_sparse_boolean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_from_array') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_from_list') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_ge') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_get_horiz_slice') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_get_slices') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_get_vert_slice') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_getcol') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_getelement') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_getnnz_axis') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_getrow') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_gt') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_imag') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_index_scalar_assign') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_inv') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_iterator') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_le') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_lt') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_matvec') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_mean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_minmax') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_minmax_axis') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_minmax_invalid_params') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_mu') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_ne') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_neg') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_non_unit_stride_2d_indexing') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_pow') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_radd') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_real') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_repr') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_rsub') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_scalar_assign_2') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_scalar_idx_dtype') ... SKIP: Skipping test: check: test implemented in base class
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_self_self_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_sequence_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_set_slice') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_setelement') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_slice_assign_2') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_slice_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_slice_scalar_assign') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_slicing_2') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_sort_indices') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_sparsity_modifying_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_str') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_sub') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_sum') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_toarray') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_todense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_transpose') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_ufuncs') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSC'>, 'test_unsorted_arithmetic') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_abs') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_add') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_add0') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_astype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_bad_index') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_bad_index_assign') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_bool') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_constructor2') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_constructor3') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_constructor4') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_constructor5') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_constructor6') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_copy') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_dtype_preservation') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_eliminate_zeros') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_ellipsis_slicing') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_empty') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_eq') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_fancy_assign_empty') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_fancy_assign_list') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_fancy_assign_ndarray') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_fancy_assign_slice') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing_boolean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing_broadcast') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing_empty') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing_multidim_set') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing_ndarray') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing_randomized') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing_regression_3087') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing_seq_assign') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing_set') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing_sparse_boolean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_from_array') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_from_list') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_ge') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_get_horiz_slice') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_get_slices') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_get_vert_slice') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_getcol') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_getelement') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_getnnz_axis') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_getrow') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_gt') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_has_canonical_format') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_has_sorted_indices') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_imag') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_index_scalar_assign') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_inv') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_iterator') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_le') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_lt') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_matvec') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_mean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_minmax') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_minmax_axis') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_minmax_invalid_params') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_mu') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_ne') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_neg') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_non_unit_stride_2d_indexing') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_pow') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_radd') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_real') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_repr') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_rsub') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_scalar_assign_2') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_scalar_idx_dtype') ... SKIP: Skipping test: check: test implemented in base class
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_self_self_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_sequence_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_set_slice') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_setelement') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_slice_assign_2') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_slice_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_slice_scalar_assign') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_slicing_2') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_sort_indices') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_sparsity_modifying_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_str') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_sub') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_sum') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_toarray') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_todense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_transpose') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_ufuncs') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestCSR'>, 'test_unsorted_arithmetic') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_abs') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_add') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_add0') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_astype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_bad_index') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_bad_index_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_bool') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_copy') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_dtype_preservation') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_ellipsis_slicing') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_empty') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_eq') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_fancy_assign_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_fancy_assign_list') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_fancy_assign_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_fancy_assign_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_fancy_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_fancy_indexing_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_fancy_indexing_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_fancy_indexing_multidim_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_fancy_indexing_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_fancy_indexing_randomized') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_fancy_indexing_regression_3087') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_fancy_indexing_seq_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_fancy_indexing_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_fancy_indexing_sparse_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_from_array') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_from_list') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_ge') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_get_horiz_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_get_slices') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_get_vert_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_getcol') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_getelement') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_getnnz_axis') ... SKIP: Skipping test: test_getnnz_axis: DIA stores extra zeros
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_getrow') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_gt') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_imag') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_index_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_inv') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_iterator') ... KNOWNFAIL: DIA does not have a __getitem__
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_le') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_lt') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_matvec') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_mean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_minmax') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_minmax_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_minmax_invalid_params') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_mu') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_ne') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_neg') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_non_unit_stride_2d_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_pow') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_radd') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_real') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_repr') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_rsub') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_scalar_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_self_self_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_sequence_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_set_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_setdiag_dtype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_setelement') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_slice_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_slice_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_slice_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_slicing_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_sparsity_modifying_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_str') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_sub') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_sum') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_toarray') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_todense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_transpose') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_no_64(<class 'test_base.TestDIA'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_abs') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_add') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_add0') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_add_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_astype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_bad_index') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_bad_index_assign') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_bool') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_convert') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_copy') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_ctor') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_dok_divide_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_dtype_preservation') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_ellipsis_slicing') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_empty') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_eq') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_fancy_assign_empty') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_fancy_assign_list') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_fancy_assign_ndarray') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_fancy_assign_slice') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_fancy_indexing') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_fancy_indexing_boolean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_fancy_indexing_empty') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_fancy_indexing_multidim_set') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_fancy_indexing_ndarray') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_fancy_indexing_randomized') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_fancy_indexing_regression_3087') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_fancy_indexing_seq_assign') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_fancy_indexing_set') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_fancy_indexing_sparse_boolean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_from_array') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_from_list') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_ge') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_get_horiz_slice') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_get_slices') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_get_vert_slice') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_getcol') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_getelement') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_getnnz_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_getrow') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_gt') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_imag') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_index_scalar_assign') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_inv') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_iterator') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_le') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_lt') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_matvec') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_mean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_minmax') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_minmax_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_minmax_invalid_params') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_mu') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_mult') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_ne') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_neg') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_non_unit_stride_2d_indexing') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_pow') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_radd') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_real') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_repr') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_resize') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_rsub') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_scalar_assign_2') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_self_self_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_sequence_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_set_slice') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_setelement') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_slice_assign_2') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_slice_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_slice_scalar_assign') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_slicing_2') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_sparsity_modifying_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_str') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_sub') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_sum') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_ticket1160') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_toarray') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_todense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_transpose') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_no_64(<class 'test_base.TestDOK'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_abs') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_add') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_add0') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_astype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_bad_index') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_bad_index_assign') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_bool') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_copy') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_dot') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_dtype_preservation') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_ellipsis_slicing') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_empty') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_eq') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_fancy_assign_empty') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_fancy_assign_list') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_fancy_assign_ndarray') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_fancy_assign_slice') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing_boolean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing_empty') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing_lil') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing_multidim_set') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing_ndarray') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing_randomized') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing_regression_3087') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing_seq_assign') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing_set') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing_sparse_boolean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_from_array') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_from_list') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_ge') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_get_horiz_slice') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_get_slices') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_get_vert_slice') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_getcol') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_getelement') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_getnnz_axis') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_getrow') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_gt') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_imag') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_index_scalar_assign') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_inplace_ops') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_inv') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_iterator') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_le') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_lil_from_csr') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_lil_iteration') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_lil_multiply_removal') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_lt') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_matvec') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_mean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_minmax') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_minmax_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_minmax_invalid_params') ... SKIP: feature not implemented
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_mu') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_ne') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_neg') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_non_unit_stride_2d_indexing') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_point_wise_multiply') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_pow') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_radd') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_real') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_repr') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_reshape') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_rsub') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_scalar_assign_2') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_scalar_mul') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_self_self_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_sequence_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_set_slice') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_setelement') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_slice_assign_2') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_slice_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_slice_scalar_assign') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_slicing_2') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_sparsity_modifying_assignment') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_str') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_sub') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_sum') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_toarray') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_todense') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_transpose') ... ok
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_no_64(<class 'test_base.TestLIL'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_bad_index') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_bad_index_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_bsr_matvec') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_bsr_matvecs') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_constructor2') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_constructor3') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_constructor4') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_dtype_preservation') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_eliminate_zeros') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_ellipsis_slicing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_fancy_assign_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_fancy_assign_list') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_fancy_assign_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_fancy_assign_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_fancy_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_fancy_indexing_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_fancy_indexing_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_fancy_indexing_multidim_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_fancy_indexing_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_fancy_indexing_randomized') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_fancy_indexing_regression_3087') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_fancy_indexing_seq_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_fancy_indexing_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_fancy_indexing_sparse_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_get_horiz_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_get_slices') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_get_vert_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_getnnz_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_index_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_iterator') ... KNOWNFAIL: BSR does not have a __getitem__
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_minmax_axis') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_minmax_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_non_unit_stride_2d_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_scalar_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_scalar_idx_dtype') ... SKIP: Skipping test: check: test implemented in base class
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_self_self_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_sequence_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_set_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_setdiag') ... KNOWNFAIL: BSR does not have a __setitem__
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_slice_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_slice_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_slice_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_slicing_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_sparsity_modifying_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestBSR'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_bad_index') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_bad_index_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_constructor2') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_constructor3') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_constructor4') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_dtype_preservation') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_eliminate_zeros') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_ellipsis_slicing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_fancy_assign_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_fancy_assign_list') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_fancy_assign_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_fancy_assign_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_fancy_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_fancy_indexing_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_fancy_indexing_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_fancy_indexing_multidim_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_fancy_indexing_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_fancy_indexing_randomized') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_fancy_indexing_regression_3087') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_fancy_indexing_seq_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_fancy_indexing_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_fancy_indexing_sparse_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_get_horiz_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_get_slices') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_get_vert_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_getnnz_axis') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_index_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_iterator') ... KNOWNFAIL: COO does not have a __getitem__
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_minmax_axis') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_minmax_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_non_unit_stride_2d_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_scalar_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_self_self_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_sequence_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_set_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_slice_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_slice_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_slice_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_slicing_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_sparsity_modifying_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_sum_duplicates') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_todia_all_zeros') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_todok_duplicates') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCOO'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_bad_index') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_bad_index_assign') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_constructor2') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_constructor3') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_constructor4') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_constructor5') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_constructor6') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_dtype_preservation') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_eliminate_zeros') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_ellipsis_slicing') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_fancy_assign_empty') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_fancy_assign_list') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_fancy_assign_ndarray') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_fancy_assign_slice') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_fancy_indexing') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_fancy_indexing_boolean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_fancy_indexing_broadcast') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_fancy_indexing_empty') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_fancy_indexing_multidim_set') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_fancy_indexing_ndarray') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_fancy_indexing_randomized') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_fancy_indexing_regression_3087') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_fancy_indexing_seq_assign') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_fancy_indexing_set') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_fancy_indexing_sparse_boolean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_get_horiz_slice') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_get_slices') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_get_vert_slice') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_getnnz_axis') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_index_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_iterator') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_minmax_axis') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_minmax_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_non_unit_stride_2d_indexing') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_scalar_assign_2') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_scalar_idx_dtype') ... SKIP: Skipping test: check: test implemented in base class
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_self_self_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_sequence_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_set_slice') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_slice_assign_2') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_slice_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_slice_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_slicing_2') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_sort_indices') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_sparsity_modifying_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_ufuncs') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSC'>, 'test_unsorted_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_bad_index') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_bad_index_assign') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_constructor2') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_constructor3') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_constructor4') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_constructor5') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_constructor6') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_dtype_preservation') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_eliminate_zeros') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_ellipsis_slicing') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_fancy_assign_empty') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_fancy_assign_list') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_fancy_assign_ndarray') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_fancy_assign_slice') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_fancy_indexing') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_fancy_indexing_boolean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_fancy_indexing_broadcast') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_fancy_indexing_empty') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_fancy_indexing_multidim_set') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_fancy_indexing_ndarray') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_fancy_indexing_randomized') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_fancy_indexing_regression_3087') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_fancy_indexing_seq_assign') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_fancy_indexing_set') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_fancy_indexing_sparse_boolean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_get_horiz_slice') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_get_slices') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_get_vert_slice') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_getnnz_axis') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_has_canonical_format') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_has_sorted_indices') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_index_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_iterator') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_minmax_axis') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_minmax_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_non_unit_stride_2d_indexing') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_scalar_assign_2') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_scalar_idx_dtype') ... SKIP: Skipping test: check: test implemented in base class
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_self_self_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_sequence_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_set_slice') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_slice_assign_2') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_slice_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_slice_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_slicing_2') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_sort_indices') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_sparsity_modifying_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_ufuncs') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestCSR'>, 'test_unsorted_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_bad_index') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_bad_index_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_dtype_preservation') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_ellipsis_slicing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_fancy_assign_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_fancy_assign_list') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_fancy_assign_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_fancy_assign_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_fancy_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_fancy_indexing_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_fancy_indexing_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_fancy_indexing_multidim_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_fancy_indexing_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_fancy_indexing_randomized') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_fancy_indexing_regression_3087') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_fancy_indexing_seq_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_fancy_indexing_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_fancy_indexing_sparse_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_get_horiz_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_get_slices') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_get_vert_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_getnnz_axis') ... SKIP: Skipping test: test_getnnz_axis: DIA stores extra zeros
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_index_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_iterator') ... KNOWNFAIL: DIA does not have a __getitem__
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_minmax') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_minmax_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_minmax_invalid_params') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_non_unit_stride_2d_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_scalar_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_self_self_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_sequence_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_set_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_setdiag_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_slice_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_slice_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_slice_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_slicing_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_sparsity_modifying_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDIA'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_add_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_bad_index') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_bad_index_assign') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_convert') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_ctor') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_dok_divide_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_dtype_preservation') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_ellipsis_slicing') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_fancy_assign_empty') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_fancy_assign_list') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_fancy_assign_ndarray') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_fancy_assign_slice') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_fancy_indexing') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_fancy_indexing_boolean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_fancy_indexing_empty') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_fancy_indexing_multidim_set') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_fancy_indexing_ndarray') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_fancy_indexing_randomized') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_fancy_indexing_regression_3087') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_fancy_indexing_seq_assign') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_fancy_indexing_set') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_fancy_indexing_sparse_boolean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_get_horiz_slice') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_get_slices') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_get_vert_slice') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_getnnz_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_index_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_iterator') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_minmax') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_minmax_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_minmax_invalid_params') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_mult') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_non_unit_stride_2d_indexing') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_resize') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_scalar_assign_2') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_self_self_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_sequence_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_set_slice') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_slice_assign_2') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_slice_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_slice_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_slicing_2') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_sparsity_modifying_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_ticket1160') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestDOK'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_bad_index') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_bad_index_assign') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_dot') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_dtype_preservation') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_ellipsis_slicing') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_fancy_assign_empty') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_fancy_assign_list') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_fancy_assign_ndarray') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_fancy_assign_slice') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_fancy_indexing') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_fancy_indexing_boolean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_fancy_indexing_empty') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_fancy_indexing_lil') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_fancy_indexing_multidim_set') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_fancy_indexing_ndarray') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_fancy_indexing_randomized') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_fancy_indexing_regression_3087') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_fancy_indexing_seq_assign') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_fancy_indexing_set') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_fancy_indexing_sparse_boolean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_get_horiz_slice') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_get_slices') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_get_vert_slice') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_getnnz_axis') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_index_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_inplace_ops') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_iterator') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_lil_from_csr') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_lil_iteration') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_lil_multiply_removal') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_minmax') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_minmax_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_minmax_invalid_params') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_non_unit_stride_2d_indexing') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_point_wise_multiply') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_reshape') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_scalar_assign_2') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_scalar_mul') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_self_self_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_sequence_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_set_slice') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_slice_assign_2') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_slice_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_slice_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_slicing_2') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_sparsity_modifying_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_all_32(<class 'test_base.TestLIL'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_bad_index') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_bad_index_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_bsr_matvec') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_bsr_matvecs') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_constructor2') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_constructor3') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_constructor4') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_dtype_preservation') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_eliminate_zeros') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_ellipsis_slicing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_fancy_assign_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_fancy_assign_list') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_fancy_assign_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_fancy_assign_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_fancy_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_fancy_indexing_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_fancy_indexing_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_fancy_indexing_multidim_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_fancy_indexing_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_fancy_indexing_randomized') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_fancy_indexing_regression_3087') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_fancy_indexing_seq_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_fancy_indexing_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_fancy_indexing_sparse_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_get_horiz_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_get_slices') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_get_vert_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_getnnz_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_index_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_iterator') ... KNOWNFAIL: BSR does not have a __getitem__
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_minmax_axis') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_minmax_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_non_unit_stride_2d_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_scalar_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_scalar_idx_dtype') ... SKIP: Skipping test: check: test implemented in base class
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_self_self_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_sequence_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_set_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_setdiag') ... KNOWNFAIL: BSR does not have a __setitem__
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_slice_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_slice_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_slice_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_slicing_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_sparsity_modifying_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestBSR'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_bad_index') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_bad_index_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_constructor2') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_constructor3') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_constructor4') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_dtype_preservation') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_eliminate_zeros') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_ellipsis_slicing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_fancy_assign_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_fancy_assign_list') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_fancy_assign_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_fancy_assign_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_fancy_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_fancy_indexing_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_fancy_indexing_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_fancy_indexing_multidim_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_fancy_indexing_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_fancy_indexing_randomized') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_fancy_indexing_regression_3087') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_fancy_indexing_seq_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_fancy_indexing_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_fancy_indexing_sparse_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_get_horiz_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_get_slices') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_get_vert_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_getnnz_axis') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_index_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_iterator') ... KNOWNFAIL: COO does not have a __getitem__
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_minmax_axis') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_minmax_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_non_unit_stride_2d_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_scalar_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_self_self_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_sequence_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_set_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_slice_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_slice_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_slice_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_slicing_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_sparsity_modifying_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_sum_duplicates') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_todia_all_zeros') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_todok_duplicates') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCOO'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_bad_index') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_bad_index_assign') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_constructor2') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_constructor3') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_constructor4') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_constructor5') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_constructor6') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_dtype_preservation') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_eliminate_zeros') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_ellipsis_slicing') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_fancy_assign_empty') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_fancy_assign_list') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_fancy_assign_ndarray') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_fancy_assign_slice') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing_boolean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing_broadcast') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing_empty') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing_multidim_set') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing_ndarray') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing_randomized') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing_regression_3087') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing_seq_assign') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing_set') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_fancy_indexing_sparse_boolean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_get_horiz_slice') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_get_slices') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_get_vert_slice') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_getnnz_axis') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_index_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_iterator') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_minmax_axis') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_minmax_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_non_unit_stride_2d_indexing') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_scalar_assign_2') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_scalar_idx_dtype') ... SKIP: Skipping test: check: test implemented in base class
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_self_self_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_sequence_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_set_slice') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_slice_assign_2') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_slice_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_slice_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_slicing_2') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_sort_indices') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_sparsity_modifying_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_ufuncs') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSC'>, 'test_unsorted_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_bad_index') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_bad_index_assign') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_constructor2') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_constructor3') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_constructor4') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_constructor5') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_constructor6') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_dtype_preservation') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_eliminate_zeros') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_ellipsis_slicing') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_fancy_assign_empty') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_fancy_assign_list') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_fancy_assign_ndarray') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_fancy_assign_slice') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing_boolean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing_broadcast') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing_empty') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing_multidim_set') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing_ndarray') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing_randomized') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing_regression_3087') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing_seq_assign') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing_set') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_fancy_indexing_sparse_boolean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_get_horiz_slice') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_get_slices') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_get_vert_slice') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_getnnz_axis') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_has_canonical_format') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_has_sorted_indices') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_index_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_iterator') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_minmax_axis') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_minmax_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_non_unit_stride_2d_indexing') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_scalar_assign_2') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_scalar_idx_dtype') ... SKIP: Skipping test: check: test implemented in base class
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_self_self_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_sequence_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_set_slice') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_slice_assign_2') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_slice_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_slice_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_slicing_2') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_sort_indices') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_sparsity_modifying_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_ufuncs') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestCSR'>, 'test_unsorted_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_bad_index') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_bad_index_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_dtype_preservation') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_ellipsis_slicing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_fancy_assign_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_fancy_assign_list') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_fancy_assign_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_fancy_assign_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_fancy_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_fancy_indexing_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_fancy_indexing_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_fancy_indexing_multidim_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_fancy_indexing_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_fancy_indexing_randomized') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_fancy_indexing_regression_3087') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_fancy_indexing_seq_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_fancy_indexing_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_fancy_indexing_sparse_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_get_horiz_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_get_slices') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_get_vert_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_getnnz_axis') ... SKIP: Skipping test: test_getnnz_axis: DIA stores extra zeros
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_index_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_iterator') ... KNOWNFAIL: DIA does not have a __getitem__
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_minmax') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_minmax_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_minmax_invalid_params') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_non_unit_stride_2d_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_scalar_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_self_self_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_sequence_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_set_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_setdiag_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_slice_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_slice_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_slice_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_slicing_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_sparsity_modifying_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDIA'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_add_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_bad_index') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_bad_index_assign') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_convert') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_ctor') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_dok_divide_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_dtype_preservation') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_ellipsis_slicing') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_fancy_assign_empty') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_fancy_assign_list') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_fancy_assign_ndarray') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_fancy_assign_slice') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_fancy_indexing') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_fancy_indexing_boolean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_fancy_indexing_empty') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_fancy_indexing_multidim_set') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_fancy_indexing_ndarray') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_fancy_indexing_randomized') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_fancy_indexing_regression_3087') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_fancy_indexing_seq_assign') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_fancy_indexing_set') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_fancy_indexing_sparse_boolean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_get_horiz_slice') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_get_slices') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_get_vert_slice') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_getnnz_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_index_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_iterator') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_minmax') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_minmax_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_minmax_invalid_params') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_mult') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_non_unit_stride_2d_indexing') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_resize') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_scalar_assign_2') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_self_self_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_sequence_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_set_slice') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_slice_assign_2') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_slice_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_slice_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_slicing_2') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_sparsity_modifying_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_ticket1160') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestDOK'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_bad_index') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_bad_index_assign') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_dot') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_dtype_preservation') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_ellipsis_slicing') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_fancy_assign_empty') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_fancy_assign_list') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_fancy_assign_ndarray') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_fancy_assign_slice') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing_boolean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing_empty') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing_lil') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing_multidim_set') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing_ndarray') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing_randomized') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing_regression_3087') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing_seq_assign') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing_set') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_fancy_indexing_sparse_boolean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_get_horiz_slice') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_get_slices') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_get_vert_slice') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_getnnz_axis') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_index_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_inplace_ops') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_iterator') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_lil_from_csr') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_lil_iteration') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_lil_multiply_removal') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_minmax') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_minmax_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_minmax_invalid_params') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_non_unit_stride_2d_indexing') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_point_wise_multiply') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_reshape') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_scalar_assign_2') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_scalar_mul') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_self_self_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_sequence_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_set_slice') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_slice_assign_2') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_slice_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_slice_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_slicing_2') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_sparsity_modifying_assignment') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_all_64(<class 'test_base.TestLIL'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_bad_index') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_bad_index_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_bsr_matvec') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_bsr_matvecs') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_constructor2') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_constructor3') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_constructor4') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_dtype_preservation') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_eliminate_zeros') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_ellipsis_slicing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_fancy_assign_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_fancy_assign_list') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_fancy_assign_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_fancy_assign_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_fancy_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_fancy_indexing_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_fancy_indexing_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_fancy_indexing_multidim_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_fancy_indexing_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_fancy_indexing_randomized') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_fancy_indexing_regression_3087') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_fancy_indexing_seq_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_fancy_indexing_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_fancy_indexing_sparse_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_get_horiz_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_get_slices') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_get_vert_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_getnnz_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_index_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_iterator') ... KNOWNFAIL: BSR does not have a __getitem__
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_minmax') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_minmax_axis') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_minmax_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_non_unit_stride_2d_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_scalar_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_scalar_idx_dtype') ... SKIP: Skipping test: check: test implemented in base class
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_self_self_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_sequence_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_set_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_setdiag') ... KNOWNFAIL: BSR does not have a __setitem__
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_slice_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_slice_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_slice_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_slicing_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_sparsity_modifying_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestBSR'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_bad_index') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_bad_index_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_constructor2') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_constructor3') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_constructor4') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_dtype_preservation') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_eliminate_zeros') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_ellipsis_slicing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_fancy_assign_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_fancy_assign_list') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_fancy_assign_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_fancy_assign_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_fancy_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_fancy_indexing_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_fancy_indexing_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_fancy_indexing_multidim_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_fancy_indexing_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_fancy_indexing_randomized') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_fancy_indexing_regression_3087') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_fancy_indexing_seq_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_fancy_indexing_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_fancy_indexing_sparse_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_get_horiz_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_get_slices') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_get_vert_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_getnnz_axis') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_index_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_iterator') ... KNOWNFAIL: COO does not have a __getitem__
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_minmax') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_minmax_axis') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_minmax_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_non_unit_stride_2d_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_scalar_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_self_self_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_sequence_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_set_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_slice_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_slice_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_slice_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_slicing_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_sparsity_modifying_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_sum_duplicates') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_todia_all_zeros') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_todok_duplicates') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCOO'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_bad_index') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_bad_index_assign') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_constructor2') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_constructor3') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_constructor4') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_constructor5') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_constructor6') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_dtype_preservation') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_eliminate_zeros') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_ellipsis_slicing') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_fancy_assign_empty') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_fancy_assign_list') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_fancy_assign_ndarray') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_fancy_assign_slice') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_fancy_indexing') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_fancy_indexing_boolean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_fancy_indexing_broadcast') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_fancy_indexing_empty') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_fancy_indexing_multidim_set') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_fancy_indexing_ndarray') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_fancy_indexing_randomized') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_fancy_indexing_regression_3087') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_fancy_indexing_seq_assign') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_fancy_indexing_set') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_fancy_indexing_sparse_boolean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_get_horiz_slice') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_get_slices') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_get_vert_slice') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_getnnz_axis') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_index_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_iterator') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_minmax') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_minmax_axis') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_minmax_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_non_unit_stride_2d_indexing') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_scalar_assign_2') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_scalar_idx_dtype') ... SKIP: Skipping test: check: test implemented in base class
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_self_self_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_sequence_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_set_slice') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_slice_assign_2') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_slice_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_slice_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_slicing_2') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_sort_indices') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_sparsity_modifying_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_ufuncs') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSC'>, 'test_unsorted_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_bad_index') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_bad_index_assign') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_constructor2') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_constructor3') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_constructor4') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_constructor5') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_constructor6') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_dtype_preservation') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_eliminate_zeros') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_ellipsis_slicing') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_fancy_assign_empty') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_fancy_assign_list') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_fancy_assign_ndarray') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_fancy_assign_slice') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_fancy_indexing') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_fancy_indexing_boolean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_fancy_indexing_broadcast') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_fancy_indexing_empty') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_fancy_indexing_multidim_set') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_fancy_indexing_ndarray') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_fancy_indexing_randomized') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_fancy_indexing_regression_3087') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_fancy_indexing_seq_assign') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_fancy_indexing_set') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_fancy_indexing_sparse_boolean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_get_horiz_slice') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_get_slices') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_get_vert_slice') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_getnnz_axis') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_has_canonical_format') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_has_sorted_indices') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_index_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_iterator') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_minmax') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_minmax_axis') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_minmax_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_non_unit_stride_2d_indexing') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_scalar_assign_2') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_scalar_idx_dtype') ... SKIP: Skipping test: check: test implemented in base class
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_self_self_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_sequence_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_set_slice') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_slice_assign_2') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_slice_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_slice_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_slicing_2') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_sort_indices') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_sparsity_modifying_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_ufuncs') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestCSR'>, 'test_unsorted_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_bad_index') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_bad_index_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_dtype_preservation') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_ellipsis_slicing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_fancy_assign_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_fancy_assign_list') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_fancy_assign_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_fancy_assign_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_fancy_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_fancy_indexing_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_fancy_indexing_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_fancy_indexing_multidim_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_fancy_indexing_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_fancy_indexing_randomized') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_fancy_indexing_regression_3087') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_fancy_indexing_seq_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_fancy_indexing_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_fancy_indexing_sparse_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_get_horiz_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_get_slices') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_get_vert_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_getnnz_axis') ... SKIP: Skipping test: test_getnnz_axis: DIA stores extra zeros
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_index_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_iterator') ... KNOWNFAIL: DIA does not have a __getitem__
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_minmax') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_minmax_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_minmax_invalid_params') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_non_unit_stride_2d_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_scalar_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_self_self_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_sequence_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_set_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_setdiag_dtype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_slice_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_slice_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_slice_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_slicing_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_sparsity_modifying_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDIA'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_add_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_bad_index') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_bad_index_assign') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_convert') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_ctor') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_dok_divide_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_dtype_preservation') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_ellipsis_slicing') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_fancy_assign_empty') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_fancy_assign_list') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_fancy_assign_ndarray') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_fancy_assign_slice') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_fancy_indexing') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_fancy_indexing_boolean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_fancy_indexing_empty') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_fancy_indexing_multidim_set') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_fancy_indexing_ndarray') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_fancy_indexing_randomized') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_fancy_indexing_regression_3087') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_fancy_indexing_seq_assign') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_fancy_indexing_set') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_fancy_indexing_sparse_boolean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_get_horiz_slice') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_get_slices') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_get_vert_slice') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_getnnz_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_index_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_iterator') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_minmax') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_minmax_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_minmax_invalid_params') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_mult') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_non_unit_stride_2d_indexing') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_resize') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_scalar_assign_2') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_self_self_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_sequence_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_set_slice') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_slice_assign_2') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_slice_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_slice_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_slicing_2') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_sparsity_modifying_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_ticket1160') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestDOK'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_bad_index') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_bad_index_assign') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_dot') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_dtype_preservation') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_ellipsis_slicing') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_fancy_assign_empty') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_fancy_assign_list') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_fancy_assign_ndarray') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_fancy_assign_slice') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_fancy_indexing') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_fancy_indexing_boolean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_fancy_indexing_empty') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_fancy_indexing_lil') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_fancy_indexing_multidim_set') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_fancy_indexing_ndarray') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_fancy_indexing_randomized') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_fancy_indexing_regression_3087') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_fancy_indexing_seq_assign') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_fancy_indexing_set') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_fancy_indexing_sparse_boolean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_get_horiz_slice') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_get_slices') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_get_vert_slice') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_getnnz_axis') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_index_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_inplace_ops') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_iterator') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_lil_from_csr') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_lil_iteration') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_lil_multiply_removal') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_minmax') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_minmax_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_minmax_invalid_params') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_non_unit_stride_2d_indexing') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_point_wise_multiply') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_reshape') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_scalar_assign_2') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_scalar_mul') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_self_self_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_sequence_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_set_slice') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_slice_assign_2') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_slice_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_slice_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_slicing_2') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_sparsity_modifying_assignment') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_limit_10(<class 'test_base.TestLIL'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_bad_index') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_bad_index_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_bsr_matvec') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_bsr_matvecs') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_constructor2') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_constructor3') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_constructor4') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_dtype_preservation') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_ellipsis_slicing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_fancy_assign_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_fancy_assign_list') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_fancy_assign_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_fancy_assign_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_fancy_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_fancy_indexing_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_fancy_indexing_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_fancy_indexing_multidim_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_fancy_indexing_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_fancy_indexing_randomized') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_fancy_indexing_regression_3087') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_fancy_indexing_seq_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_fancy_indexing_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_fancy_indexing_sparse_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_get_horiz_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_get_slices') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_get_vert_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_getnnz_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_index_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_iterator') ... KNOWNFAIL: BSR does not have a __getitem__
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_minmax') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_minmax_axis') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_minmax_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_non_unit_stride_2d_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_scalar_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_scalar_idx_dtype') ... SKIP: Skipping test: check: test implemented in base class
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_self_self_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_sequence_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_set_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_setdiag') ... KNOWNFAIL: BSR does not have a __setitem__
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_slice_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_slice_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_slice_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_slicing_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_sparsity_modifying_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestBSR'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_bad_index') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_bad_index_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_constructor2') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_constructor3') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_constructor4') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_dtype_preservation') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_eliminate_zeros') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_ellipsis_slicing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_fancy_assign_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_fancy_assign_list') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_fancy_assign_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_fancy_assign_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_fancy_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_fancy_indexing_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_fancy_indexing_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_fancy_indexing_multidim_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_fancy_indexing_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_fancy_indexing_randomized') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_fancy_indexing_regression_3087') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_fancy_indexing_seq_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_fancy_indexing_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_fancy_indexing_sparse_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_get_horiz_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_get_slices') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_get_vert_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_getnnz_axis') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_index_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_iterator') ... KNOWNFAIL: COO does not have a __getitem__
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_minmax') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_minmax_axis') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_minmax_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_non_unit_stride_2d_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_scalar_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_self_self_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_sequence_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_set_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_slice_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_slice_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_slice_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_slicing_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_sparsity_modifying_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_sum_duplicates') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_todia_all_zeros') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_todok_duplicates') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCOO'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_bad_index') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_bad_index_assign') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_constructor2') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_constructor3') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_constructor4') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_constructor5') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_constructor6') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_dtype_preservation') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_eliminate_zeros') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_ellipsis_slicing') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_fancy_assign_empty') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_fancy_assign_list') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_fancy_assign_ndarray') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_fancy_assign_slice') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_fancy_indexing') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_fancy_indexing_boolean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_fancy_indexing_broadcast') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_fancy_indexing_empty') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_fancy_indexing_multidim_set') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_fancy_indexing_ndarray') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_fancy_indexing_randomized') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_fancy_indexing_regression_3087') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_fancy_indexing_seq_assign') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_fancy_indexing_set') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_fancy_indexing_sparse_boolean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_get_horiz_slice') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_get_slices') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_get_vert_slice') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_getnnz_axis') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_index_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_iterator') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_minmax') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_minmax_axis') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_minmax_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_non_unit_stride_2d_indexing') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_scalar_assign_2') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_scalar_idx_dtype') ... SKIP: Skipping test: check: test implemented in base class
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_self_self_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_sequence_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_set_slice') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_slice_assign_2') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_slice_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_slice_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_slicing_2') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_sort_indices') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_sparsity_modifying_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_ufuncs') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSC'>, 'test_unsorted_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_bad_index') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_bad_index_assign') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_constructor2') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_constructor3') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_constructor4') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_constructor5') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_constructor6') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_dtype_preservation') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_eliminate_zeros') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_ellipsis_slicing') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_fancy_assign_empty') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_fancy_assign_list') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_fancy_assign_ndarray') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_fancy_assign_slice') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_fancy_indexing') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_fancy_indexing_boolean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_fancy_indexing_broadcast') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_fancy_indexing_empty') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_fancy_indexing_multidim_set') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_fancy_indexing_ndarray') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_fancy_indexing_randomized') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_fancy_indexing_regression_3087') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_fancy_indexing_seq_assign') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_fancy_indexing_set') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_fancy_indexing_sparse_boolean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_get_horiz_slice') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_get_slices') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_get_vert_slice') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_getnnz_axis') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_has_canonical_format') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_has_sorted_indices') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_index_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_iterator') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_minmax') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_minmax_axis') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_minmax_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_non_unit_stride_2d_indexing') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_scalar_assign_2') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_scalar_idx_dtype') ... SKIP: Skipping test: check: test implemented in base class
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_self_self_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_sequence_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_set_slice') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_slice_assign_2') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_slice_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_slice_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_slicing_2') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_sort_indices') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_sparsity_modifying_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_ufuncs') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestCSR'>, 'test_unsorted_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_bad_index') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_bad_index_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_constructor1') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_dtype_preservation') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_ellipsis_slicing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_fancy_assign_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_fancy_assign_list') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_fancy_assign_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_fancy_assign_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_fancy_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_fancy_indexing_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_fancy_indexing_empty') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_fancy_indexing_multidim_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_fancy_indexing_ndarray') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_fancy_indexing_randomized') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_fancy_indexing_regression_3087') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_fancy_indexing_seq_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_fancy_indexing_set') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_fancy_indexing_sparse_boolean') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_get_horiz_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_get_slices') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_get_vert_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_getnnz_axis') ... SKIP: Skipping test: test_getnnz_axis: DIA stores extra zeros
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_index_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_iterator') ... KNOWNFAIL: DIA does not have a __getitem__
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_minmax') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_minmax_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_minmax_invalid_params') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_non_unit_stride_2d_indexing') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_scalar_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_self_self_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_sequence_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_set_slice') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_setdiag_dtype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_slice_assign_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_slice_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_slice_scalar_assign') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_slicing_2') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_sparsity_modifying_assignment') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDIA'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_add_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_bad_index') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_bad_index_assign') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_convert') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_ctor') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_dok_divide_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_dtype_preservation') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_ellipsis_slicing') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_fancy_assign_empty') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_fancy_assign_list') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_fancy_assign_ndarray') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_fancy_assign_slice') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_fancy_indexing') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_fancy_indexing_boolean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_fancy_indexing_empty') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_fancy_indexing_multidim_set') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_fancy_indexing_ndarray') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_fancy_indexing_randomized') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_fancy_indexing_regression_3087') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_fancy_indexing_seq_assign') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_fancy_indexing_set') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_fancy_indexing_sparse_boolean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_get_horiz_slice') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_get_slices') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_get_vert_slice') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_getnnz_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_index_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_iterator') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_minmax') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_minmax_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_minmax_invalid_params') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_mult') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_non_unit_stride_2d_indexing') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_resize') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_scalar_assign_2') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_self_self_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_sequence_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_set_slice') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_slice_assign_2') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_slice_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_slice_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_slicing_2') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_sparsity_modifying_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_ticket1160') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestDOK'>, 'test_unary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_abs') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_add') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_add0') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_add_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_add_sub') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_asfptype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_astype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_bad_index') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_bad_index_assign') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_binary_ufunc_overrides') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_binop_custom_type') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_bool') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_bool_rollover') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_copy') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_count_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_diagonal') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_dot') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_dtype_preservation') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_elementwise_divide') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_elementwise_multiply') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_elementwise_multiply_broadcast') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_elementwise_power') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_ellipsis_slicing') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_empty') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_empty_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_eq') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_expm') ... SKIP: Skipping test: check: expm for 64-bit indices not available
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_fancy_assign_empty') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_fancy_assign_list') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_fancy_assign_ndarray') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_fancy_assign_slice') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_fancy_assignment_dtypes') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_fancy_indexing') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_fancy_indexing_boolean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_fancy_indexing_empty') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_fancy_indexing_lil') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_fancy_indexing_multidim_set') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_fancy_indexing_ndarray') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_fancy_indexing_randomized') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_fancy_indexing_regression_3087') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_fancy_indexing_seq_assign') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_fancy_indexing_set') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_fancy_indexing_sparse_boolean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_from_array') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_from_list') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_from_matrix') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_from_sparse') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_ge') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_get_horiz_slice') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_get_slices') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_get_vert_slice') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_getcol') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_getelement') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_getnnz_axis') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_getrow') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_gt') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_idiv_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_imag') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_imul_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_index_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_inplace_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_inplace_ops') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_inplace_success') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_inv') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_invalid_shapes') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_iterator') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_le') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_lil_from_csr') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_lil_iteration') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_lil_multiply_removal') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_lt') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_matmat_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_matmat_sparse') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_matmul') ... SKIP: matmul is only tested in Python 3.5+
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_matvec') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_maximum_minimum') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_mean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_mean_dtype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_mean_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_mean_out') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_minmax') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_minmax_axis') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_minmax_invalid_params') ... SKIP: feature not implemented
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_mu') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_mul_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_multiple_ellipsis_slicing') ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_ne') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_neg') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_negative_index_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_non_unit_stride_2d_indexing') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_numpy_mean') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_numpy_minmax') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_numpy_nonzero') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_numpy_sum') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_point_wise_multiply') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_pow') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_radd') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_real') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_repr') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_reshape') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_rmatvec') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_rmul_scalar') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_rsub') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_scalar_assign_2') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_scalar_mul') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_self_self_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_sequence_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_set_slice') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_setelement') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_size_zero_conversions') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_size_zero_matrix_arithmetic') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_slice_assign_2') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_slice_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_slice_scalar_assign') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_slicing_2') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_slicing_3') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_small_multiplication') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_solve') ... SKIP: Skipping test: check: linsolve for 64-bit indices not available
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_sparse_format_conversions') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_sparsity_modifying_assignment') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_str') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_sub') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_sub_dense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_sum') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_sum_dtype') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_sum_invalid_params') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_sum_out') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_toarray') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_tobsr') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_todense') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_transpose') ... ok
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_ufunc_object_array') ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.Test64Bit.test_resiliency_random(<class 'test_base.TestLIL'>, 'test_unary_ufunc_overrides') ... ok
test_base.TestBSR.test_abs ... ok
test_base.TestBSR.test_add(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_add(<type 'numpy.float64'>,) ... ok
test_base.TestBSR.test_add(<type 'numpy.complex128'>,) ... ok
test_base.TestBSR.test_add0(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_add0(<type 'numpy.float64'>,) ... ok
test_base.TestBSR.test_add0(<type 'numpy.complex128'>,) ... ok
test_base.TestBSR.test_add_dense(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_add_dense(<type 'numpy.float64'>,) ... ok
test_base.TestBSR.test_add_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestBSR.test_add_sub ... ok
test_base.TestBSR.test_asfptype ... ok
test_base.TestBSR.test_astype ... ok
test_base.TestBSR.test_bad_index ... SKIP: feature not implemented
test_base.TestBSR.test_bad_index_assign ... SKIP: feature not implemented
test_base.TestBSR.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_binop_custom_type ... ok
test_base.TestBSR.test_bool(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_bool(<type 'numpy.uint64'>,) ... ok
test_base.TestBSR.test_bool(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_bool(<type 'numpy.uint8'>,) ... ok
test_base.TestBSR.test_bool(<type 'numpy.int8'>,) ... ok
test_base.TestBSR.test_bool(<type 'numpy.bool_'>,) ... ok
test_base.TestBSR.test_bool(<type 'numpy.float32'>,) ... ok
test_base.TestBSR.test_bool(<type 'numpy.uint16'>,) ... ok
test_base.TestBSR.test_bool(<type 'numpy.complex64'>,) ... ok
test_base.TestBSR.test_bool(<type 'numpy.int16'>,) ... ok
test_base.TestBSR.test_bool(<type 'numpy.float64'>,) ... ok
test_base.TestBSR.test_bool(<type 'numpy.complex128'>,) ... ok
test_base.TestBSR.test_bool(<type 'numpy.uint32'>,) ... ok
test_base.TestBSR.test_bool(<type 'numpy.int32'>,) ... ok
test_base.TestBSR.test_bool(<type 'numpy.complex256'>,) ... ok
test_base.TestBSR.test_bool(<type 'numpy.float128'>,) ... ok
test_base.TestBSR.test_bool_rollover ... ok
test_base.TestBSR.test_bsr_matvec ... ok
test_base.TestBSR.test_bsr_matvecs ... ok
test_base.TestBSR.test_constructor1 ... ok
test_base.TestBSR.test_constructor2 ... ok
test_base.TestBSR.test_constructor3 ... ok
test_base.TestBSR.test_constructor4 ... ok
test_base.TestBSR.test_copy ... ok
test_base.TestBSR.test_count_nonzero ... ok
test_base.TestBSR.test_diagonal ... ok
test_base.TestBSR.test_dtype_preservation ... SKIP: feature not implemented
test_base.TestBSR.test_elementwise_divide ... ok
test_base.TestBSR.test_elementwise_multiply ... ok
test_base.TestBSR.test_elementwise_multiply_broadcast ... ok
test_base.TestBSR.test_elementwise_power ... ok
test_base.TestBSR.test_eliminate_zeros ... ok
test_base.TestBSR.test_ellipsis_slicing ... SKIP: feature not implemented
test_base.TestBSR.test_empty ... ok
test_base.TestBSR.test_empty_arithmetic ... ok
test_base.TestBSR.test_eq(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_eq(<type 'numpy.uint64'>,) ... ok
test_base.TestBSR.test_eq(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_eq(<type 'numpy.uint8'>,) ... ok
test_base.TestBSR.test_eq(<type 'numpy.int8'>,) ... ok
test_base.TestBSR.test_eq(<type 'numpy.bool_'>,) ... ok
test_base.TestBSR.test_eq(<type 'numpy.float32'>,) ... ok
test_base.TestBSR.test_eq(<type 'numpy.uint16'>,) ... ok
test_base.TestBSR.test_eq(<type 'numpy.complex64'>,) ... ok
test_base.TestBSR.test_eq(<type 'numpy.int16'>,) ... ok
test_base.TestBSR.test_eq(<type 'numpy.float64'>,) ... ok
test_base.TestBSR.test_eq(<type 'numpy.complex128'>,) ... ok
test_base.TestBSR.test_eq(<type 'numpy.uint32'>,) ... ok
test_base.TestBSR.test_eq(<type 'numpy.int32'>,) ... ok
test_base.TestBSR.test_eq(<type 'numpy.complex256'>,) ... ok
test_base.TestBSR.test_eq(<type 'numpy.float128'>,) ... ok
test_base.TestBSR.test_expm ... ok
test_base.TestBSR.test_fancy_assign_empty ... SKIP: feature not implemented
test_base.TestBSR.test_fancy_assign_list ... SKIP: feature not implemented
test_base.TestBSR.test_fancy_assign_ndarray ... SKIP: feature not implemented
test_base.TestBSR.test_fancy_assign_slice ... SKIP: feature not implemented
test_base.TestBSR.test_fancy_assignment_dtypes ... ok
test_base.TestBSR.test_fancy_indexing ... SKIP: feature not implemented
test_base.TestBSR.test_fancy_indexing_boolean ... SKIP: feature not implemented
test_base.TestBSR.test_fancy_indexing_empty ... SKIP: feature not implemented
test_base.TestBSR.test_fancy_indexing_multidim_set ... SKIP: feature not implemented
test_base.TestBSR.test_fancy_indexing_ndarray ... SKIP: feature not implemented
test_base.TestBSR.test_fancy_indexing_randomized ... SKIP: feature not implemented
test_base.TestBSR.test_fancy_indexing_regression_3087 ... SKIP: feature not implemented
test_base.TestBSR.test_fancy_indexing_seq_assign ... SKIP: feature not implemented
test_base.TestBSR.test_fancy_indexing_set ... SKIP: feature not implemented
test_base.TestBSR.test_fancy_indexing_sparse_boolean ... SKIP: feature not implemented
test_base.TestBSR.test_from_array ... ok
test_base.TestBSR.test_from_list ... ok
test_base.TestBSR.test_from_matrix ... ok
test_base.TestBSR.test_from_sparse ... ok
test_base.TestBSR.test_ge(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_ge(<type 'numpy.uint64'>,) ... ok
test_base.TestBSR.test_ge(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_ge(<type 'numpy.uint8'>,) ... ok
test_base.TestBSR.test_ge(<type 'numpy.int8'>,) ... ok
test_base.TestBSR.test_ge(<type 'numpy.bool_'>,) ... ok
test_base.TestBSR.test_ge(<type 'numpy.float32'>,) ... ok
test_base.TestBSR.test_ge(<type 'numpy.uint16'>,) ... ok
test_base.TestBSR.test_ge(<type 'numpy.complex64'>,) ... ok
test_base.TestBSR.test_ge(<type 'numpy.int16'>,) ... ok
test_base.TestBSR.test_ge(<type 'numpy.float64'>,) ... ok
test_base.TestBSR.test_ge(<type 'numpy.complex128'>,) ... ok
test_base.TestBSR.test_ge(<type 'numpy.uint32'>,) ... ok
test_base.TestBSR.test_ge(<type 'numpy.int32'>,) ... ok
test_base.TestBSR.test_ge(<type 'numpy.complex256'>,) ... ok
test_base.TestBSR.test_ge(<type 'numpy.float128'>,) ... ok
test_base.TestBSR.test_get_horiz_slice ... SKIP: feature not implemented
test_base.TestBSR.test_get_slices ... SKIP: feature not implemented
test_base.TestBSR.test_get_vert_slice ... SKIP: feature not implemented
test_base.TestBSR.test_getcol ... ok
test_base.TestBSR.test_getelement ... ok
test_base.TestBSR.test_getnnz_axis ... SKIP: feature not implemented
test_base.TestBSR.test_getrow ... ok
test_base.TestBSR.test_gt(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_gt(<type 'numpy.uint64'>,) ... ok
test_base.TestBSR.test_gt(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_gt(<type 'numpy.uint8'>,) ... ok
test_base.TestBSR.test_gt(<type 'numpy.int8'>,) ... ok
test_base.TestBSR.test_gt(<type 'numpy.bool_'>,) ... ok
test_base.TestBSR.test_gt(<type 'numpy.float32'>,) ... ok
test_base.TestBSR.test_gt(<type 'numpy.uint16'>,) ... ok
test_base.TestBSR.test_gt(<type 'numpy.complex64'>,) ... ok
test_base.TestBSR.test_gt(<type 'numpy.int16'>,) ... ok
test_base.TestBSR.test_gt(<type 'numpy.float64'>,) ... ok
test_base.TestBSR.test_gt(<type 'numpy.complex128'>,) ... ok
test_base.TestBSR.test_gt(<type 'numpy.uint32'>,) ... ok
test_base.TestBSR.test_gt(<type 'numpy.int32'>,) ... ok
test_base.TestBSR.test_gt(<type 'numpy.complex256'>,) ... ok
test_base.TestBSR.test_gt(<type 'numpy.float128'>,) ... ok
test_base.TestBSR.test_idiv_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestBSR.test_idiv_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestBSR.test_imag ... ok
test_base.TestBSR.test_imul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_imul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestBSR.test_imul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestBSR.test_index_scalar_assign ... SKIP: feature not implemented
test_base.TestBSR.test_inplace_dense ... ok
test_base.TestBSR.test_inplace_success ... ok
test_base.TestBSR.test_inv(<type 'float'>,) ... ok
test_base.TestBSR.test_invalid_shapes ... ok
test_base.TestBSR.test_iterator ... KNOWNFAIL: BSR does not have a __getitem__
test_base.TestBSR.test_le(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_le(<type 'numpy.uint64'>,) ... ok
test_base.TestBSR.test_le(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_le(<type 'numpy.uint8'>,) ... ok
test_base.TestBSR.test_le(<type 'numpy.int8'>,) ... ok
test_base.TestBSR.test_le(<type 'numpy.bool_'>,) ... ok
test_base.TestBSR.test_le(<type 'numpy.float32'>,) ... ok
test_base.TestBSR.test_le(<type 'numpy.uint16'>,) ... ok
test_base.TestBSR.test_le(<type 'numpy.complex64'>,) ... ok
test_base.TestBSR.test_le(<type 'numpy.int16'>,) ... ok
test_base.TestBSR.test_le(<type 'numpy.float64'>,) ... ok
test_base.TestBSR.test_le(<type 'numpy.complex128'>,) ... ok
test_base.TestBSR.test_le(<type 'numpy.uint32'>,) ... ok
test_base.TestBSR.test_le(<type 'numpy.int32'>,) ... ok
test_base.TestBSR.test_le(<type 'numpy.complex256'>,) ... ok
test_base.TestBSR.test_le(<type 'numpy.float128'>,) ... ok
test_base.TestBSR.test_lt(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_lt(<type 'numpy.uint64'>,) ... ok
test_base.TestBSR.test_lt(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_lt(<type 'numpy.uint8'>,) ... ok
test_base.TestBSR.test_lt(<type 'numpy.int8'>,) ... ok
test_base.TestBSR.test_lt(<type 'numpy.bool_'>,) ... ok
test_base.TestBSR.test_lt(<type 'numpy.float32'>,) ... ok
test_base.TestBSR.test_lt(<type 'numpy.uint16'>,) ... ok
test_base.TestBSR.test_lt(<type 'numpy.complex64'>,) ... ok
test_base.TestBSR.test_lt(<type 'numpy.int16'>,) ... ok
test_base.TestBSR.test_lt(<type 'numpy.float64'>,) ... ok
test_base.TestBSR.test_lt(<type 'numpy.complex128'>,) ... ok
test_base.TestBSR.test_lt(<type 'numpy.uint32'>,) ... ok
test_base.TestBSR.test_lt(<type 'numpy.int32'>,) ... ok
test_base.TestBSR.test_lt(<type 'numpy.complex256'>,) ... ok
test_base.TestBSR.test_lt(<type 'numpy.float128'>,) ... ok
test_base.TestBSR.test_matmat_dense ... ok
test_base.TestBSR.test_matmat_sparse ... ok
test_base.TestBSR.test_matmul ... SKIP: matmul is only tested in Python 3.5+
test_base.TestBSR.test_matvec ... ok
test_base.TestBSR.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar2') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('int64'), dtype('int8'), 'dense') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('int64'), dtype('int8'), 'sparse') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar2') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('int64'), dtype('float64'), 'dense') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('int64'), dtype('float64'), 'sparse') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'dense') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'sparse') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar2') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('float64'), dtype('int8'), 'dense') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('float64'), dtype('int8'), 'sparse') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar2') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('float64'), dtype('float64'), 'dense') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('float64'), dtype('float64'), 'sparse') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'dense') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'sparse') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar2') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'dense') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'sparse') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar2') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'dense') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'sparse') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar2') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'dense') ... ok
test_base.TestBSR.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'sparse') ... ok
test_base.TestBSR.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_mean(<type 'numpy.uint64'>,) ... ok
test_base.TestBSR.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_mean(<type 'numpy.uint8'>,) ... ok
test_base.TestBSR.test_mean(<type 'numpy.int8'>,) ... ok
test_base.TestBSR.test_mean(<type 'numpy.bool_'>,) ... ok
test_base.TestBSR.test_mean(<type 'numpy.float32'>,) ... ok
test_base.TestBSR.test_mean(<type 'numpy.uint16'>,) ... ok
test_base.TestBSR.test_mean(<type 'numpy.complex64'>,) ... ok
test_base.TestBSR.test_mean(<type 'numpy.int16'>,) ... ok
test_base.TestBSR.test_mean(<type 'numpy.float64'>,) ... ok
test_base.TestBSR.test_mean(<type 'numpy.complex128'>,) ... ok
test_base.TestBSR.test_mean(<type 'numpy.uint32'>,) ... ok
test_base.TestBSR.test_mean(<type 'numpy.int32'>,) ... ok
test_base.TestBSR.test_mean(<type 'numpy.complex256'>,) ... ok
test_base.TestBSR.test_mean(<type 'numpy.float128'>,) ... ok
test_base.TestBSR.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_mean_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestBSR.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_mean_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestBSR.test_mean_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestBSR.test_mean_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestBSR.test_mean_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestBSR.test_mean_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestBSR.test_mean_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestBSR.test_mean_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestBSR.test_mean_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestBSR.test_mean_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestBSR.test_mean_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestBSR.test_mean_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestBSR.test_mean_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestBSR.test_mean_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestBSR.test_mean_invalid_params ... ok
test_base.TestBSR.test_mean_out ... ok
test_base.TestBSR.test_minmax ... ok
test_base.TestBSR.test_minmax_axis ... ok
test_base.TestBSR.test_minmax_invalid_params ... ok
test_base.TestBSR.test_mu ... ok
test_base.TestBSR.test_mul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_mul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestBSR.test_mul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestBSR.test_multiple_ellipsis_slicing ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.TestBSR.test_ne(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_ne(<type 'numpy.uint64'>,) ... ok
test_base.TestBSR.test_ne(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_ne(<type 'numpy.uint8'>,) ... ok
test_base.TestBSR.test_ne(<type 'numpy.int8'>,) ... ok
test_base.TestBSR.test_ne(<type 'numpy.bool_'>,) ... ok
test_base.TestBSR.test_ne(<type 'numpy.float32'>,) ... ok
test_base.TestBSR.test_ne(<type 'numpy.uint16'>,) ... ok
test_base.TestBSR.test_ne(<type 'numpy.complex64'>,) ... ok
test_base.TestBSR.test_ne(<type 'numpy.int16'>,) ... ok
test_base.TestBSR.test_ne(<type 'numpy.float64'>,) ... ok
test_base.TestBSR.test_ne(<type 'numpy.complex128'>,) ... ok
test_base.TestBSR.test_ne(<type 'numpy.uint32'>,) ... ok
test_base.TestBSR.test_ne(<type 'numpy.int32'>,) ... ok
test_base.TestBSR.test_ne(<type 'numpy.complex256'>,) ... ok
test_base.TestBSR.test_ne(<type 'numpy.float128'>,) ... ok
test_base.TestBSR.test_neg ... ok
test_base.TestBSR.test_negative_index_assignment ... ok
test_base.TestBSR.test_non_unit_stride_2d_indexing ... SKIP: feature not implemented
test_base.TestBSR.test_nonzero ... ok
test_base.TestBSR.test_numpy_mean ... ok
test_base.TestBSR.test_numpy_minmax ... ok
test_base.TestBSR.test_numpy_nonzero ... ok
test_base.TestBSR.test_numpy_sum ... ok
test_base.TestBSR.test_pow ... ok
test_base.TestBSR.test_radd(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_radd(<type 'numpy.float64'>,) ... ok
test_base.TestBSR.test_radd(<type 'numpy.complex128'>,) ... ok
test_base.TestBSR.test_real ... ok
test_base.TestBSR.test_repr ... ok
test_base.TestBSR.test_rmatvec ... ok
test_base.TestBSR.test_rmul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_rmul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestBSR.test_rmul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestBSR.test_rsub(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_rsub(<type 'numpy.float64'>,) ... ok
test_base.TestBSR.test_rsub(<type 'numpy.complex128'>,) ... ok
test_base.TestBSR.test_scalar_assign_2 ... SKIP: feature not implemented
test_base.TestBSR.test_scalar_idx_dtype ... ok
test_base.TestBSR.test_self_self_assignment ... SKIP: feature not implemented
test_base.TestBSR.test_sequence_assignment ... SKIP: feature not implemented
test_base.TestBSR.test_set_slice ... SKIP: feature not implemented
test_base.TestBSR.test_setdiag ... KNOWNFAIL: BSR does not have a __setitem__
test_base.TestBSR.test_setelement ... ok
test_base.TestBSR.test_size_zero_conversions ... ok
test_base.TestBSR.test_size_zero_matrix_arithmetic ... ok
test_base.TestBSR.test_slice_assign_2 ... SKIP: feature not implemented
test_base.TestBSR.test_slice_assignment ... SKIP: feature not implemented
test_base.TestBSR.test_slice_scalar_assign ... SKIP: feature not implemented
test_base.TestBSR.test_slicing_2 ... SKIP: feature not implemented
test_base.TestBSR.test_slicing_3 ... ok
test_base.TestBSR.test_small_multiplication ... ok
test_base.TestBSR.test_solve ... ok
test_base.TestBSR.test_sparse_format_conversions ... ok
test_base.TestBSR.test_sparsity_modifying_assignment ... SKIP: feature not implemented
test_base.TestBSR.test_str ... ok
test_base.TestBSR.test_sub(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_sub(<type 'numpy.float64'>,) ... ok
test_base.TestBSR.test_sub(<type 'numpy.complex128'>,) ... ok
test_base.TestBSR.test_sub_dense(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_sub_dense(<type 'numpy.float64'>,) ... ok
test_base.TestBSR.test_sub_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestBSR.test_sum(<type 'numpy.uint64'>, 0) ... ok
test_base.TestBSR.test_sum(<type 'numpy.uint64'>, 1) ... ok
test_base.TestBSR.test_sum(<type 'numpy.uint64'>, 2) ... ok
test_base.TestBSR.test_sum(<type 'numpy.uint64'>, 3) ... ok
test_base.TestBSR.test_sum(<type 'numpy.uint64'>, 4) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestBSR.test_sum(<type 'numpy.uint8'>, 0) ... ok
test_base.TestBSR.test_sum(<type 'numpy.uint8'>, 1) ... ok
test_base.TestBSR.test_sum(<type 'numpy.uint8'>, 2) ... ok
test_base.TestBSR.test_sum(<type 'numpy.uint8'>, 3) ... ok
test_base.TestBSR.test_sum(<type 'numpy.uint8'>, 4) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int8'>, 0) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int8'>, 1) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int8'>, 2) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int8'>, 3) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int8'>, 4) ... ok
test_base.TestBSR.test_sum(<type 'numpy.bool_'>, 0) ... ok
test_base.TestBSR.test_sum(<type 'numpy.bool_'>, 1) ... ok
test_base.TestBSR.test_sum(<type 'numpy.bool_'>, 2) ... ok
test_base.TestBSR.test_sum(<type 'numpy.bool_'>, 3) ... ok
test_base.TestBSR.test_sum(<type 'numpy.bool_'>, 4) ... ok
test_base.TestBSR.test_sum(<type 'numpy.float32'>, 0) ... ok
test_base.TestBSR.test_sum(<type 'numpy.float32'>, 1) ... ok
test_base.TestBSR.test_sum(<type 'numpy.float32'>, 2) ... ok
test_base.TestBSR.test_sum(<type 'numpy.float32'>, 3) ... ok
test_base.TestBSR.test_sum(<type 'numpy.float32'>, 4) ... ok
test_base.TestBSR.test_sum(<type 'numpy.uint16'>, 0) ... ok
test_base.TestBSR.test_sum(<type 'numpy.uint16'>, 1) ... ok
test_base.TestBSR.test_sum(<type 'numpy.uint16'>, 2) ... ok
test_base.TestBSR.test_sum(<type 'numpy.uint16'>, 3) ... ok
test_base.TestBSR.test_sum(<type 'numpy.uint16'>, 4) ... ok
test_base.TestBSR.test_sum(<type 'numpy.complex64'>, 0) ... ok
test_base.TestBSR.test_sum(<type 'numpy.complex64'>, 1) ... ok
test_base.TestBSR.test_sum(<type 'numpy.complex64'>, 2) ... ok
test_base.TestBSR.test_sum(<type 'numpy.complex64'>, 3) ... ok
test_base.TestBSR.test_sum(<type 'numpy.complex64'>, 4) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int16'>, 0) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int16'>, 1) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int16'>, 2) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int16'>, 3) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int16'>, 4) ... ok
test_base.TestBSR.test_sum(<type 'numpy.float64'>, 0) ... ok
test_base.TestBSR.test_sum(<type 'numpy.float64'>, 1) ... ok
test_base.TestBSR.test_sum(<type 'numpy.float64'>, 2) ... ok
test_base.TestBSR.test_sum(<type 'numpy.float64'>, 3) ... ok
test_base.TestBSR.test_sum(<type 'numpy.float64'>, 4) ... ok
test_base.TestBSR.test_sum(<type 'numpy.complex128'>, 0) ... ok
test_base.TestBSR.test_sum(<type 'numpy.complex128'>, 1) ... ok
test_base.TestBSR.test_sum(<type 'numpy.complex128'>, 2) ... ok
test_base.TestBSR.test_sum(<type 'numpy.complex128'>, 3) ... ok
test_base.TestBSR.test_sum(<type 'numpy.complex128'>, 4) ... ok
test_base.TestBSR.test_sum(<type 'numpy.uint32'>, 0) ... ok
test_base.TestBSR.test_sum(<type 'numpy.uint32'>, 1) ... ok
test_base.TestBSR.test_sum(<type 'numpy.uint32'>, 2) ... ok
test_base.TestBSR.test_sum(<type 'numpy.uint32'>, 3) ... ok
test_base.TestBSR.test_sum(<type 'numpy.uint32'>, 4) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int32'>, 0) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int32'>, 1) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int32'>, 2) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int32'>, 3) ... ok
test_base.TestBSR.test_sum(<type 'numpy.int32'>, 4) ... ok
test_base.TestBSR.test_sum(<type 'numpy.complex256'>, 0) ... ok
test_base.TestBSR.test_sum(<type 'numpy.complex256'>, 1) ... ok
test_base.TestBSR.test_sum(<type 'numpy.complex256'>, 2) ... ok
test_base.TestBSR.test_sum(<type 'numpy.complex256'>, 3) ... ok
test_base.TestBSR.test_sum(<type 'numpy.complex256'>, 4) ... ok
test_base.TestBSR.test_sum(<type 'numpy.float128'>, 0) ... ok
test_base.TestBSR.test_sum(<type 'numpy.float128'>, 1) ... ok
test_base.TestBSR.test_sum(<type 'numpy.float128'>, 2) ... ok
test_base.TestBSR.test_sum(<type 'numpy.float128'>, 3) ... ok
test_base.TestBSR.test_sum(<type 'numpy.float128'>, 4) ... ok
test_base.TestBSR.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_sum_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestBSR.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestBSR.test_sum_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestBSR.test_sum_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestBSR.test_sum_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestBSR.test_sum_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestBSR.test_sum_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestBSR.test_sum_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestBSR.test_sum_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestBSR.test_sum_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestBSR.test_sum_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestBSR.test_sum_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestBSR.test_sum_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestBSR.test_sum_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestBSR.test_sum_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestBSR.test_sum_invalid_params ... ok
test_base.TestBSR.test_sum_out ... ok
test_base.TestBSR.test_toarray ... ok
test_base.TestBSR.test_tobsr ... ok
test_base.TestBSR.test_todense ... ok
test_base.TestBSR.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.uint64'>, 0) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.uint64'>, 1) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.uint8'>, 0) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.uint8'>, 1) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.int8'>, 0) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.int8'>, 1) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.bool_'>, 0) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.bool_'>, 1) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.float32'>, 0) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.float32'>, 1) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.uint16'>, 0) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.uint16'>, 1) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.complex64'>, 0) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.complex64'>, 1) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.int16'>, 0) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.int16'>, 1) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.float64'>, 0) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.float64'>, 1) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.complex128'>, 0) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.complex128'>, 1) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.uint32'>, 0) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.uint32'>, 1) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.int32'>, 0) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.int32'>, 1) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.complex256'>, 0) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.complex256'>, 1) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.float128'>, 0) ... ok
test_base.TestBSR.test_transpose(<type 'numpy.float128'>, 1) ... ok
test_base.TestBSR.test_ufunc_object_array ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.TestBSR.test_unary_ufunc_overrides('sin',) ... ok
test_base.TestBSR.test_unary_ufunc_overrides('tan',) ... ok
test_base.TestBSR.test_unary_ufunc_overrides('arcsin',) ... ok
test_base.TestBSR.test_unary_ufunc_overrides('arctan',) ... ok
test_base.TestBSR.test_unary_ufunc_overrides('sinh',) ... ok
test_base.TestBSR.test_unary_ufunc_overrides('tanh',) ... ok
test_base.TestBSR.test_unary_ufunc_overrides('arcsinh',) ... ok
test_base.TestBSR.test_unary_ufunc_overrides('arctanh',) ... ok
test_base.TestBSR.test_unary_ufunc_overrides('rint',) ... ok
test_base.TestBSR.test_unary_ufunc_overrides('sign',) ... SKIP: sign conflicts with comparison op support on Numpy without __numpy_ufunc__
test_base.TestBSR.test_unary_ufunc_overrides('expm1',) ... ok
test_base.TestBSR.test_unary_ufunc_overrides('log1p',) ... ok
test_base.TestBSR.test_unary_ufunc_overrides('deg2rad',) ... ok
test_base.TestBSR.test_unary_ufunc_overrides('rad2deg',) ... ok
test_base.TestBSR.test_unary_ufunc_overrides('floor',) ... ok
test_base.TestBSR.test_unary_ufunc_overrides('ceil',) ... ok
test_base.TestBSR.test_unary_ufunc_overrides('trunc',) ... ok
test_base.TestBSR.test_unary_ufunc_overrides('sqrt',) ... ok
test_base.TestBSR.test_unary_ufunc_overrides('abs',) ... ok
test_base.TestBSRNonCanonical.test_abs ... ok
test_base.TestBSRNonCanonical.test_add(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_add(<type 'numpy.float64'>,) ... ok
test_base.TestBSRNonCanonical.test_add(<type 'numpy.complex128'>,) ... ok
test_base.TestBSRNonCanonical.test_add0(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_add0(<type 'numpy.float64'>,) ... ok
test_base.TestBSRNonCanonical.test_add0(<type 'numpy.complex128'>,) ... ok
test_base.TestBSRNonCanonical.test_add_dense(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_add_dense(<type 'numpy.float64'>,) ... ok
test_base.TestBSRNonCanonical.test_add_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestBSRNonCanonical.test_add_sub ... ok
test_base.TestBSRNonCanonical.test_asfptype ... ok
test_base.TestBSRNonCanonical.test_astype ... ok
test_base.TestBSRNonCanonical.test_bad_index ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_bad_index_assign ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_binop_custom_type ... ok
test_base.TestBSRNonCanonical.test_bool ... SKIP: Skipping test: test_bool: bool(matrix) counts explicit zeros
test_base.TestBSRNonCanonical.test_bool_rollover ... ok
test_base.TestBSRNonCanonical.test_bsr_matvec ... ok
test_base.TestBSRNonCanonical.test_bsr_matvecs ... ok
test_base.TestBSRNonCanonical.test_constructor1 ... ok
test_base.TestBSRNonCanonical.test_constructor2 ... ok
test_base.TestBSRNonCanonical.test_constructor3 ... ok
test_base.TestBSRNonCanonical.test_constructor4 ... ok
test_base.TestBSRNonCanonical.test_copy ... ok
test_base.TestBSRNonCanonical.test_count_nonzero ... ok
test_base.TestBSRNonCanonical.test_diagonal ... KNOWNFAIL: diagonal broken with non-canonical BSR
test_base.TestBSRNonCanonical.test_dtype_preservation ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_elementwise_divide ... ok
test_base.TestBSRNonCanonical.test_elementwise_multiply ... ok
test_base.TestBSRNonCanonical.test_elementwise_multiply_broadcast ... ok
test_base.TestBSRNonCanonical.test_elementwise_power ... ok
test_base.TestBSRNonCanonical.test_eliminate_zeros ... ok
test_base.TestBSRNonCanonical.test_ellipsis_slicing ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_empty ... SKIP: Skipping test: test_empty: nnz counts explicit zeros
test_base.TestBSRNonCanonical.test_empty_arithmetic ... ok
test_base.TestBSRNonCanonical.test_eq(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_eq(<type 'numpy.uint64'>,) ... ok
test_base.TestBSRNonCanonical.test_eq(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_eq(<type 'numpy.uint8'>,) ... ok
test_base.TestBSRNonCanonical.test_eq(<type 'numpy.int8'>,) ... ok
test_base.TestBSRNonCanonical.test_eq(<type 'numpy.bool_'>,) ... ok
test_base.TestBSRNonCanonical.test_eq(<type 'numpy.float32'>,) ... ok
test_base.TestBSRNonCanonical.test_eq(<type 'numpy.uint16'>,) ... ok
test_base.TestBSRNonCanonical.test_eq(<type 'numpy.complex64'>,) ... ok
test_base.TestBSRNonCanonical.test_eq(<type 'numpy.int16'>,) ... ok
test_base.TestBSRNonCanonical.test_eq(<type 'numpy.float64'>,) ... ok
test_base.TestBSRNonCanonical.test_eq(<type 'numpy.complex128'>,) ... ok
test_base.TestBSRNonCanonical.test_eq(<type 'numpy.uint32'>,) ... ok
test_base.TestBSRNonCanonical.test_eq(<type 'numpy.int32'>,) ... ok
test_base.TestBSRNonCanonical.test_eq(<type 'numpy.complex256'>,) ... ok
test_base.TestBSRNonCanonical.test_eq(<type 'numpy.float128'>,) ... ok
test_base.TestBSRNonCanonical.test_expm ... KNOWNFAIL: expm broken with non-canonical BSR
test_base.TestBSRNonCanonical.test_fancy_assign_empty ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_fancy_assign_list ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_fancy_assign_ndarray ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_fancy_assign_slice ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_fancy_assignment_dtypes ... ok
test_base.TestBSRNonCanonical.test_fancy_indexing ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_fancy_indexing_boolean ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_fancy_indexing_empty ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_fancy_indexing_multidim_set ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_fancy_indexing_ndarray ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_fancy_indexing_randomized ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_fancy_indexing_regression_3087 ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_fancy_indexing_seq_assign ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_fancy_indexing_set ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_fancy_indexing_sparse_boolean ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_from_array ... ok
test_base.TestBSRNonCanonical.test_from_list ... ok
test_base.TestBSRNonCanonical.test_from_matrix ... ok
test_base.TestBSRNonCanonical.test_from_sparse ... ok
test_base.TestBSRNonCanonical.test_ge(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_ge(<type 'numpy.uint64'>,) ... ok
test_base.TestBSRNonCanonical.test_ge(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_ge(<type 'numpy.uint8'>,) ... ok
test_base.TestBSRNonCanonical.test_ge(<type 'numpy.int8'>,) ... ok
test_base.TestBSRNonCanonical.test_ge(<type 'numpy.bool_'>,) ... ok
test_base.TestBSRNonCanonical.test_ge(<type 'numpy.float32'>,) ... ok
test_base.TestBSRNonCanonical.test_ge(<type 'numpy.uint16'>,) ... ok
test_base.TestBSRNonCanonical.test_ge(<type 'numpy.complex64'>,) ... ok
test_base.TestBSRNonCanonical.test_ge(<type 'numpy.int16'>,) ... ok
test_base.TestBSRNonCanonical.test_ge(<type 'numpy.float64'>,) ... ok
test_base.TestBSRNonCanonical.test_ge(<type 'numpy.complex128'>,) ... ok
test_base.TestBSRNonCanonical.test_ge(<type 'numpy.uint32'>,) ... ok
test_base.TestBSRNonCanonical.test_ge(<type 'numpy.int32'>,) ... ok
test_base.TestBSRNonCanonical.test_ge(<type 'numpy.complex256'>,) ... ok
test_base.TestBSRNonCanonical.test_ge(<type 'numpy.float128'>,) ... ok
test_base.TestBSRNonCanonical.test_get_horiz_slice ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_get_slices ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_get_vert_slice ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_getcol ... ok
test_base.TestBSRNonCanonical.test_getelement ... ok
test_base.TestBSRNonCanonical.test_getnnz_axis ... SKIP: Skipping test: test_getnnz_axis: getnnz-axis counts explicit zeros
test_base.TestBSRNonCanonical.test_getrow ... ok
test_base.TestBSRNonCanonical.test_gt(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_gt(<type 'numpy.uint64'>,) ... ok
test_base.TestBSRNonCanonical.test_gt(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_gt(<type 'numpy.uint8'>,) ... ok
test_base.TestBSRNonCanonical.test_gt(<type 'numpy.int8'>,) ... ok
test_base.TestBSRNonCanonical.test_gt(<type 'numpy.bool_'>,) ... ok
test_base.TestBSRNonCanonical.test_gt(<type 'numpy.float32'>,) ... ok
test_base.TestBSRNonCanonical.test_gt(<type 'numpy.uint16'>,) ... ok
test_base.TestBSRNonCanonical.test_gt(<type 'numpy.complex64'>,) ... ok
test_base.TestBSRNonCanonical.test_gt(<type 'numpy.int16'>,) ... ok
test_base.TestBSRNonCanonical.test_gt(<type 'numpy.float64'>,) ... ok
test_base.TestBSRNonCanonical.test_gt(<type 'numpy.complex128'>,) ... ok
test_base.TestBSRNonCanonical.test_gt(<type 'numpy.uint32'>,) ... ok
test_base.TestBSRNonCanonical.test_gt(<type 'numpy.int32'>,) ... ok
test_base.TestBSRNonCanonical.test_gt(<type 'numpy.complex256'>,) ... ok
test_base.TestBSRNonCanonical.test_gt(<type 'numpy.float128'>,) ... ok
test_base.TestBSRNonCanonical.test_idiv_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestBSRNonCanonical.test_idiv_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestBSRNonCanonical.test_imag ... ok
test_base.TestBSRNonCanonical.test_imul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_imul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestBSRNonCanonical.test_imul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestBSRNonCanonical.test_index_scalar_assign ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_inplace_dense ... ok
test_base.TestBSRNonCanonical.test_inplace_success ... ok
test_base.TestBSRNonCanonical.test_inv(<type 'float'>,) ... ok
test_base.TestBSRNonCanonical.test_invalid_shapes ... ok
test_base.TestBSRNonCanonical.test_iterator ... KNOWNFAIL: BSR does not have a __getitem__
test_base.TestBSRNonCanonical.test_le(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_le(<type 'numpy.uint64'>,) ... ok
test_base.TestBSRNonCanonical.test_le(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_le(<type 'numpy.uint8'>,) ... ok
test_base.TestBSRNonCanonical.test_le(<type 'numpy.int8'>,) ... ok
test_base.TestBSRNonCanonical.test_le(<type 'numpy.bool_'>,) ... ok
test_base.TestBSRNonCanonical.test_le(<type 'numpy.float32'>,) ... ok
test_base.TestBSRNonCanonical.test_le(<type 'numpy.uint16'>,) ... ok
test_base.TestBSRNonCanonical.test_le(<type 'numpy.complex64'>,) ... ok
test_base.TestBSRNonCanonical.test_le(<type 'numpy.int16'>,) ... ok
test_base.TestBSRNonCanonical.test_le(<type 'numpy.float64'>,) ... ok
test_base.TestBSRNonCanonical.test_le(<type 'numpy.complex128'>,) ... ok
test_base.TestBSRNonCanonical.test_le(<type 'numpy.uint32'>,) ... ok
test_base.TestBSRNonCanonical.test_le(<type 'numpy.int32'>,) ... ok
test_base.TestBSRNonCanonical.test_le(<type 'numpy.complex256'>,) ... ok
test_base.TestBSRNonCanonical.test_le(<type 'numpy.float128'>,) ... ok
test_base.TestBSRNonCanonical.test_lt(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_lt(<type 'numpy.uint64'>,) ... ok
test_base.TestBSRNonCanonical.test_lt(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_lt(<type 'numpy.uint8'>,) ... ok
test_base.TestBSRNonCanonical.test_lt(<type 'numpy.int8'>,) ... ok
test_base.TestBSRNonCanonical.test_lt(<type 'numpy.bool_'>,) ... ok
test_base.TestBSRNonCanonical.test_lt(<type 'numpy.float32'>,) ... ok
test_base.TestBSRNonCanonical.test_lt(<type 'numpy.uint16'>,) ... ok
test_base.TestBSRNonCanonical.test_lt(<type 'numpy.complex64'>,) ... ok
test_base.TestBSRNonCanonical.test_lt(<type 'numpy.int16'>,) ... ok
test_base.TestBSRNonCanonical.test_lt(<type 'numpy.float64'>,) ... ok
test_base.TestBSRNonCanonical.test_lt(<type 'numpy.complex128'>,) ... ok
test_base.TestBSRNonCanonical.test_lt(<type 'numpy.uint32'>,) ... ok
test_base.TestBSRNonCanonical.test_lt(<type 'numpy.int32'>,) ... ok
test_base.TestBSRNonCanonical.test_lt(<type 'numpy.complex256'>,) ... ok
test_base.TestBSRNonCanonical.test_lt(<type 'numpy.float128'>,) ... ok
test_base.TestBSRNonCanonical.test_matmat_dense ... ok
test_base.TestBSRNonCanonical.test_matmat_sparse ... ok
test_base.TestBSRNonCanonical.test_matmul ... SKIP: matmul is only tested in Python 3.5+
test_base.TestBSRNonCanonical.test_matvec ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar2') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('int8'), 'dense') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('int8'), 'sparse') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar2') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('float64'), 'dense') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('float64'), 'sparse') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'dense') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'sparse') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar2') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('int8'), 'dense') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('int8'), 'sparse') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar2') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('float64'), 'dense') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('float64'), 'sparse') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'dense') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'sparse') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar2') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'dense') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'sparse') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar2') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'dense') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'sparse') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar2') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'dense') ... ok
test_base.TestBSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'sparse') ... ok
test_base.TestBSRNonCanonical.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_mean(<type 'numpy.uint64'>,) ... ok
test_base.TestBSRNonCanonical.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_mean(<type 'numpy.uint8'>,) ... ok
test_base.TestBSRNonCanonical.test_mean(<type 'numpy.int8'>,) ... ok
test_base.TestBSRNonCanonical.test_mean(<type 'numpy.bool_'>,) ... ok
test_base.TestBSRNonCanonical.test_mean(<type 'numpy.float32'>,) ... ok
test_base.TestBSRNonCanonical.test_mean(<type 'numpy.uint16'>,) ... ok
test_base.TestBSRNonCanonical.test_mean(<type 'numpy.complex64'>,) ... ok
test_base.TestBSRNonCanonical.test_mean(<type 'numpy.int16'>,) ... ok
test_base.TestBSRNonCanonical.test_mean(<type 'numpy.float64'>,) ... ok
test_base.TestBSRNonCanonical.test_mean(<type 'numpy.complex128'>,) ... ok
test_base.TestBSRNonCanonical.test_mean(<type 'numpy.uint32'>,) ... ok
test_base.TestBSRNonCanonical.test_mean(<type 'numpy.int32'>,) ... ok
test_base.TestBSRNonCanonical.test_mean(<type 'numpy.complex256'>,) ... ok
test_base.TestBSRNonCanonical.test_mean(<type 'numpy.float128'>,) ... ok
test_base.TestBSRNonCanonical.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_mean_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestBSRNonCanonical.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_mean_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestBSRNonCanonical.test_mean_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestBSRNonCanonical.test_mean_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestBSRNonCanonical.test_mean_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestBSRNonCanonical.test_mean_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestBSRNonCanonical.test_mean_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestBSRNonCanonical.test_mean_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestBSRNonCanonical.test_mean_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestBSRNonCanonical.test_mean_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestBSRNonCanonical.test_mean_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestBSRNonCanonical.test_mean_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestBSRNonCanonical.test_mean_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestBSRNonCanonical.test_mean_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestBSRNonCanonical.test_mean_invalid_params ... ok
test_base.TestBSRNonCanonical.test_mean_out ... ok
test_base.TestBSRNonCanonical.test_minmax ... ok
test_base.TestBSRNonCanonical.test_minmax_axis ... ok
test_base.TestBSRNonCanonical.test_minmax_invalid_params ... ok
test_base.TestBSRNonCanonical.test_mu ... ok
test_base.TestBSRNonCanonical.test_mul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_mul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestBSRNonCanonical.test_mul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestBSRNonCanonical.test_multiple_ellipsis_slicing ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.TestBSRNonCanonical.test_ne(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_ne(<type 'numpy.uint64'>,) ... ok
test_base.TestBSRNonCanonical.test_ne(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_ne(<type 'numpy.uint8'>,) ... ok
test_base.TestBSRNonCanonical.test_ne(<type 'numpy.int8'>,) ... ok
test_base.TestBSRNonCanonical.test_ne(<type 'numpy.bool_'>,) ... ok
test_base.TestBSRNonCanonical.test_ne(<type 'numpy.float32'>,) ... ok
test_base.TestBSRNonCanonical.test_ne(<type 'numpy.uint16'>,) ... ok
test_base.TestBSRNonCanonical.test_ne(<type 'numpy.complex64'>,) ... ok
test_base.TestBSRNonCanonical.test_ne(<type 'numpy.int16'>,) ... ok
test_base.TestBSRNonCanonical.test_ne(<type 'numpy.float64'>,) ... ok
test_base.TestBSRNonCanonical.test_ne(<type 'numpy.complex128'>,) ... ok
test_base.TestBSRNonCanonical.test_ne(<type 'numpy.uint32'>,) ... ok
test_base.TestBSRNonCanonical.test_ne(<type 'numpy.int32'>,) ... ok
test_base.TestBSRNonCanonical.test_ne(<type 'numpy.complex256'>,) ... ok
test_base.TestBSRNonCanonical.test_ne(<type 'numpy.float128'>,) ... ok
test_base.TestBSRNonCanonical.test_neg ... ok
test_base.TestBSRNonCanonical.test_negative_index_assignment ... ok
test_base.TestBSRNonCanonical.test_non_unit_stride_2d_indexing ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_nonzero ... ok
test_base.TestBSRNonCanonical.test_numpy_mean ... ok
test_base.TestBSRNonCanonical.test_numpy_minmax ... ok
test_base.TestBSRNonCanonical.test_numpy_nonzero ... ok
test_base.TestBSRNonCanonical.test_numpy_sum ... ok
test_base.TestBSRNonCanonical.test_pow ... ok
test_base.TestBSRNonCanonical.test_radd(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_radd(<type 'numpy.float64'>,) ... ok
test_base.TestBSRNonCanonical.test_radd(<type 'numpy.complex128'>,) ... ok
test_base.TestBSRNonCanonical.test_real ... ok
test_base.TestBSRNonCanonical.test_repr ... ok
test_base.TestBSRNonCanonical.test_rmatvec ... ok
test_base.TestBSRNonCanonical.test_rmul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_rmul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestBSRNonCanonical.test_rmul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestBSRNonCanonical.test_rsub(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_rsub(<type 'numpy.float64'>,) ... ok
test_base.TestBSRNonCanonical.test_rsub(<type 'numpy.complex128'>,) ... ok
test_base.TestBSRNonCanonical.test_scalar_assign_2 ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_scalar_idx_dtype ... ok
test_base.TestBSRNonCanonical.test_self_self_assignment ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_sequence_assignment ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_set_slice ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_setdiag ... KNOWNFAIL: BSR does not have a __setitem__
test_base.TestBSRNonCanonical.test_setelement ... ok
test_base.TestBSRNonCanonical.test_size_zero_conversions ... ok
test_base.TestBSRNonCanonical.test_size_zero_matrix_arithmetic ... ok
test_base.TestBSRNonCanonical.test_slice_assign_2 ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_slice_assignment ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_slice_scalar_assign ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_slicing_2 ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_slicing_3 ... ok
test_base.TestBSRNonCanonical.test_small_multiplication ... ok
test_base.TestBSRNonCanonical.test_solve ... ok
test_base.TestBSRNonCanonical.test_sparse_format_conversions ... ok
test_base.TestBSRNonCanonical.test_sparsity_modifying_assignment ... SKIP: feature not implemented
test_base.TestBSRNonCanonical.test_str ... ok
test_base.TestBSRNonCanonical.test_sub(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_sub(<type 'numpy.float64'>,) ... ok
test_base.TestBSRNonCanonical.test_sub(<type 'numpy.complex128'>,) ... ok
test_base.TestBSRNonCanonical.test_sub_dense(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_sub_dense(<type 'numpy.float64'>,) ... ok
test_base.TestBSRNonCanonical.test_sub_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.uint64'>, 0) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.uint64'>, 1) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.uint64'>, 2) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.uint64'>, 3) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.uint64'>, 4) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.uint8'>, 0) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.uint8'>, 1) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.uint8'>, 2) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.uint8'>, 3) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.uint8'>, 4) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int8'>, 0) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int8'>, 1) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int8'>, 2) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int8'>, 3) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int8'>, 4) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.bool_'>, 0) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.bool_'>, 1) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.bool_'>, 2) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.bool_'>, 3) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.bool_'>, 4) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.float32'>, 0) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.float32'>, 1) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.float32'>, 2) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.float32'>, 3) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.float32'>, 4) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.uint16'>, 0) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.uint16'>, 1) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.uint16'>, 2) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.uint16'>, 3) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.uint16'>, 4) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.complex64'>, 0) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.complex64'>, 1) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.complex64'>, 2) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.complex64'>, 3) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.complex64'>, 4) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int16'>, 0) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int16'>, 1) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int16'>, 2) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int16'>, 3) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int16'>, 4) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.float64'>, 0) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.float64'>, 1) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.float64'>, 2) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.float64'>, 3) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.float64'>, 4) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.complex128'>, 0) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.complex128'>, 1) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.complex128'>, 2) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.complex128'>, 3) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.complex128'>, 4) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.uint32'>, 0) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.uint32'>, 1) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.uint32'>, 2) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.uint32'>, 3) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.uint32'>, 4) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int32'>, 0) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int32'>, 1) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int32'>, 2) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int32'>, 3) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.int32'>, 4) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.complex256'>, 0) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.complex256'>, 1) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.complex256'>, 2) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.complex256'>, 3) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.complex256'>, 4) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.float128'>, 0) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.float128'>, 1) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.float128'>, 2) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.float128'>, 3) ... ok
test_base.TestBSRNonCanonical.test_sum(<type 'numpy.float128'>, 4) ... ok
test_base.TestBSRNonCanonical.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_sum_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestBSRNonCanonical.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestBSRNonCanonical.test_sum_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestBSRNonCanonical.test_sum_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestBSRNonCanonical.test_sum_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestBSRNonCanonical.test_sum_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestBSRNonCanonical.test_sum_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestBSRNonCanonical.test_sum_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestBSRNonCanonical.test_sum_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestBSRNonCanonical.test_sum_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestBSRNonCanonical.test_sum_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestBSRNonCanonical.test_sum_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestBSRNonCanonical.test_sum_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestBSRNonCanonical.test_sum_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestBSRNonCanonical.test_sum_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestBSRNonCanonical.test_sum_invalid_params ... ok
test_base.TestBSRNonCanonical.test_sum_out ... ok
test_base.TestBSRNonCanonical.test_toarray ... ok
test_base.TestBSRNonCanonical.test_tobsr ... ok
test_base.TestBSRNonCanonical.test_todense ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.uint64'>, 0) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.uint64'>, 1) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.uint8'>, 0) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.uint8'>, 1) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.int8'>, 0) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.int8'>, 1) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.bool_'>, 0) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.bool_'>, 1) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.float32'>, 0) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.float32'>, 1) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.uint16'>, 0) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.uint16'>, 1) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.complex64'>, 0) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.complex64'>, 1) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.int16'>, 0) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.int16'>, 1) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.float64'>, 0) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.float64'>, 1) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.complex128'>, 0) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.complex128'>, 1) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.uint32'>, 0) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.uint32'>, 1) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.int32'>, 0) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.int32'>, 1) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.complex256'>, 0) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.complex256'>, 1) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.float128'>, 0) ... ok
test_base.TestBSRNonCanonical.test_transpose(<type 'numpy.float128'>, 1) ... ok
test_base.TestBSRNonCanonical.test_ufunc_object_array ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.TestBSRNonCanonical.test_unary_ufunc_overrides ... KNOWNFAIL: unary ufunc overrides broken with non-canonical matrix
test_base.TestCOO.test_abs ... ok
test_base.TestCOO.test_add(<type 'numpy.int64'>,) ... ok
test_base.TestCOO.test_add(<type 'numpy.float64'>,) ... ok
test_base.TestCOO.test_add(<type 'numpy.complex128'>,) ... ok
test_base.TestCOO.test_add0(<type 'numpy.int64'>,) ... ok
test_base.TestCOO.test_add0(<type 'numpy.float64'>,) ... ok
test_base.TestCOO.test_add0(<type 'numpy.complex128'>,) ... ok
test_base.TestCOO.test_add_dense(<type 'numpy.int64'>,) ... ok
test_base.TestCOO.test_add_dense(<type 'numpy.float64'>,) ... ok
test_base.TestCOO.test_add_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestCOO.test_add_sub ... ok
test_base.TestCOO.test_asfptype ... ok
test_base.TestCOO.test_astype ... ok
test_base.TestCOO.test_bad_index ... SKIP: feature not implemented
test_base.TestCOO.test_bad_index_assign ... SKIP: feature not implemented
test_base.TestCOO.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_binop_custom_type ... ok
test_base.TestCOO.test_bool(<type 'numpy.int64'>,) ... ok
test_base.TestCOO.test_bool(<type 'numpy.uint64'>,) ... ok
test_base.TestCOO.test_bool(<type 'numpy.int64'>,) ... ok
test_base.TestCOO.test_bool(<type 'numpy.uint8'>,) ... ok
test_base.TestCOO.test_bool(<type 'numpy.int8'>,) ... ok
test_base.TestCOO.test_bool(<type 'numpy.bool_'>,) ... ok
test_base.TestCOO.test_bool(<type 'numpy.float32'>,) ... ok
test_base.TestCOO.test_bool(<type 'numpy.uint16'>,) ... ok
test_base.TestCOO.test_bool(<type 'numpy.complex64'>,) ... ok
test_base.TestCOO.test_bool(<type 'numpy.int16'>,) ... ok
test_base.TestCOO.test_bool(<type 'numpy.float64'>,) ... ok
test_base.TestCOO.test_bool(<type 'numpy.complex128'>,) ... ok
test_base.TestCOO.test_bool(<type 'numpy.uint32'>,) ... ok
test_base.TestCOO.test_bool(<type 'numpy.int32'>,) ... ok
test_base.TestCOO.test_bool(<type 'numpy.complex256'>,) ... ok
test_base.TestCOO.test_bool(<type 'numpy.float128'>,) ... ok
test_base.TestCOO.test_bool_rollover ... ok
test_base.TestCOO.test_constructor1 ... ok
test_base.TestCOO.test_constructor2 ... ok
test_base.TestCOO.test_constructor3 ... ok
test_base.TestCOO.test_constructor4 ... ok
test_base.TestCOO.test_copy ... ok
test_base.TestCOO.test_count_nonzero ... ok
test_base.TestCOO.test_diagonal ... ok
test_base.TestCOO.test_dtype_preservation ... SKIP: feature not implemented
test_base.TestCOO.test_elementwise_divide ... ok
test_base.TestCOO.test_elementwise_multiply ... ok
test_base.TestCOO.test_elementwise_multiply_broadcast ... ok
test_base.TestCOO.test_elementwise_power ... ok
test_base.TestCOO.test_eliminate_zeros ... ok
test_base.TestCOO.test_ellipsis_slicing ... SKIP: feature not implemented
test_base.TestCOO.test_empty ... ok
test_base.TestCOO.test_empty_arithmetic ... ok
test_base.TestCOO.test_eq(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_eq(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_eq(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_eq(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_eq(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_eq(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_eq(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_eq(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_eq(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_eq(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_eq(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_eq(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_eq(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_eq(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_eq(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_eq(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_expm ... ok
test_base.TestCOO.test_fancy_assign_empty ... SKIP: feature not implemented
test_base.TestCOO.test_fancy_assign_list ... SKIP: feature not implemented
test_base.TestCOO.test_fancy_assign_ndarray ... SKIP: feature not implemented
test_base.TestCOO.test_fancy_assign_slice ... SKIP: feature not implemented
test_base.TestCOO.test_fancy_assignment_dtypes ... ok
test_base.TestCOO.test_fancy_indexing ... SKIP: feature not implemented
test_base.TestCOO.test_fancy_indexing_boolean ... SKIP: feature not implemented
test_base.TestCOO.test_fancy_indexing_empty ... SKIP: feature not implemented
test_base.TestCOO.test_fancy_indexing_multidim_set ... SKIP: feature not implemented
test_base.TestCOO.test_fancy_indexing_ndarray ... SKIP: feature not implemented
test_base.TestCOO.test_fancy_indexing_randomized ... SKIP: feature not implemented
test_base.TestCOO.test_fancy_indexing_regression_3087 ... SKIP: feature not implemented
test_base.TestCOO.test_fancy_indexing_seq_assign ... SKIP: feature not implemented
test_base.TestCOO.test_fancy_indexing_set ... SKIP: feature not implemented
test_base.TestCOO.test_fancy_indexing_sparse_boolean ... SKIP: feature not implemented
test_base.TestCOO.test_from_array ... ok
test_base.TestCOO.test_from_list ... ok
test_base.TestCOO.test_from_matrix ... ok
test_base.TestCOO.test_from_sparse ... ok
test_base.TestCOO.test_ge(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ge(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ge(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ge(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ge(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ge(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ge(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ge(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ge(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ge(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ge(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ge(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ge(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ge(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ge(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ge(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_get_horiz_slice ... SKIP: feature not implemented
test_base.TestCOO.test_get_slices ... SKIP: feature not implemented
test_base.TestCOO.test_get_vert_slice ... SKIP: feature not implemented
test_base.TestCOO.test_getcol ... ok
test_base.TestCOO.test_getelement ... ok
test_base.TestCOO.test_getnnz_axis ... ok
test_base.TestCOO.test_getrow ... ok
test_base.TestCOO.test_gt(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_gt(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_gt(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_gt(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_gt(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_gt(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_gt(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_gt(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_gt(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_gt(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_gt(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_gt(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_gt(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_gt(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_gt(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_gt(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_idiv_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCOO.test_idiv_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCOO.test_imag ... ok
test_base.TestCOO.test_imul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestCOO.test_imul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCOO.test_imul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCOO.test_index_scalar_assign ... SKIP: feature not implemented
test_base.TestCOO.test_inplace_dense ... ok
test_base.TestCOO.test_inplace_success ... ok
test_base.TestCOO.test_inv(<type 'float'>,) ... ok
test_base.TestCOO.test_invalid_shapes ... ok
test_base.TestCOO.test_iterator ... KNOWNFAIL: COO does not have a __getitem__
test_base.TestCOO.test_le(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_le(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_le(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_le(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_le(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_le(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_le(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_le(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_le(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_le(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_le(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_le(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_le(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_le(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_le(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_le(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_lt(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_lt(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_lt(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_lt(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_lt(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_lt(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_lt(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_lt(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_lt(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_lt(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_lt(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_lt(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_lt(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_lt(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_lt(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_lt(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_matmat_dense ... ok
test_base.TestCOO.test_matmat_sparse ... ok
test_base.TestCOO.test_matmul ... SKIP: matmul is only tested in Python 3.5+
test_base.TestCOO.test_matvec ... ok
test_base.TestCOO.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar2') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('int64'), dtype('int8'), 'dense') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('int64'), dtype('int8'), 'sparse') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar2') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('int64'), dtype('float64'), 'dense') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('int64'), dtype('float64'), 'sparse') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'dense') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'sparse') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar2') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('float64'), dtype('int8'), 'dense') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('float64'), dtype('int8'), 'sparse') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar2') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('float64'), dtype('float64'), 'dense') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('float64'), dtype('float64'), 'sparse') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'dense') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'sparse') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar2') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'dense') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'sparse') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar2') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'dense') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'sparse') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'dense') ... ok
test_base.TestCOO.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'sparse') ... ok
test_base.TestCOO.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestCOO.test_mean(<type 'numpy.uint64'>,) ... ok
test_base.TestCOO.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestCOO.test_mean(<type 'numpy.uint8'>,) ... ok
test_base.TestCOO.test_mean(<type 'numpy.int8'>,) ... ok
test_base.TestCOO.test_mean(<type 'numpy.bool_'>,) ... ok
test_base.TestCOO.test_mean(<type 'numpy.float32'>,) ... ok
test_base.TestCOO.test_mean(<type 'numpy.uint16'>,) ... ok
test_base.TestCOO.test_mean(<type 'numpy.complex64'>,) ... ok
test_base.TestCOO.test_mean(<type 'numpy.int16'>,) ... ok
test_base.TestCOO.test_mean(<type 'numpy.float64'>,) ... ok
test_base.TestCOO.test_mean(<type 'numpy.complex128'>,) ... ok
test_base.TestCOO.test_mean(<type 'numpy.uint32'>,) ... ok
test_base.TestCOO.test_mean(<type 'numpy.int32'>,) ... ok
test_base.TestCOO.test_mean(<type 'numpy.complex256'>,) ... ok
test_base.TestCOO.test_mean(<type 'numpy.float128'>,) ... ok
test_base.TestCOO.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCOO.test_mean_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestCOO.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCOO.test_mean_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestCOO.test_mean_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestCOO.test_mean_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestCOO.test_mean_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestCOO.test_mean_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestCOO.test_mean_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestCOO.test_mean_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestCOO.test_mean_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestCOO.test_mean_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestCOO.test_mean_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestCOO.test_mean_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestCOO.test_mean_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestCOO.test_mean_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestCOO.test_mean_invalid_params ... ok
test_base.TestCOO.test_mean_out ... ok
test_base.TestCOO.test_minmax ... ok
test_base.TestCOO.test_minmax_axis ... ok
test_base.TestCOO.test_minmax_invalid_params ... ok
test_base.TestCOO.test_mu ... ok
test_base.TestCOO.test_mul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestCOO.test_mul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCOO.test_mul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCOO.test_multiple_ellipsis_slicing ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.TestCOO.test_ne(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ne(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ne(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ne(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ne(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ne(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ne(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ne(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ne(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ne(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ne(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ne(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ne(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ne(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ne(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_ne(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOO.test_neg ... ok
test_base.TestCOO.test_negative_index_assignment ... ok
test_base.TestCOO.test_non_unit_stride_2d_indexing ... SKIP: feature not implemented
test_base.TestCOO.test_nonzero ... ok
test_base.TestCOO.test_numpy_mean ... ok
test_base.TestCOO.test_numpy_minmax ... ok
test_base.TestCOO.test_numpy_nonzero ... ok
test_base.TestCOO.test_numpy_sum ... ok
test_base.TestCOO.test_pow ... ok
test_base.TestCOO.test_radd(<type 'numpy.int64'>,) ... ok
test_base.TestCOO.test_radd(<type 'numpy.float64'>,) ... ok
test_base.TestCOO.test_radd(<type 'numpy.complex128'>,) ... ok
test_base.TestCOO.test_real ... ok
test_base.TestCOO.test_repr ... ok
test_base.TestCOO.test_rmatvec ... ok
test_base.TestCOO.test_rmul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestCOO.test_rmul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCOO.test_rmul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCOO.test_rsub(<type 'numpy.int64'>,) ... ok
test_base.TestCOO.test_rsub(<type 'numpy.float64'>,) ... ok
test_base.TestCOO.test_rsub(<type 'numpy.complex128'>,) ... ok
test_base.TestCOO.test_scalar_assign_2 ... SKIP: feature not implemented
test_base.TestCOO.test_self_self_assignment ... SKIP: feature not implemented
test_base.TestCOO.test_sequence_assignment ... SKIP: feature not implemented
test_base.TestCOO.test_set_slice ... SKIP: feature not implemented
test_base.TestCOO.test_setdiag ... ok
test_base.TestCOO.test_setelement ... ok
test_base.TestCOO.test_size_zero_conversions ... ok
test_base.TestCOO.test_size_zero_matrix_arithmetic ... ok
test_base.TestCOO.test_slice_assign_2 ... SKIP: feature not implemented
test_base.TestCOO.test_slice_assignment ... SKIP: feature not implemented
test_base.TestCOO.test_slice_scalar_assign ... SKIP: feature not implemented
test_base.TestCOO.test_slicing_2 ... SKIP: feature not implemented
test_base.TestCOO.test_slicing_3 ... ok
test_base.TestCOO.test_small_multiplication ... ok
test_base.TestCOO.test_solve ... ok
test_base.TestCOO.test_sparse_format_conversions ... ok
test_base.TestCOO.test_sparsity_modifying_assignment ... SKIP: feature not implemented
test_base.TestCOO.test_str ... ok
test_base.TestCOO.test_sub(<type 'numpy.int64'>,) ... ok
test_base.TestCOO.test_sub(<type 'numpy.float64'>,) ... ok
test_base.TestCOO.test_sub(<type 'numpy.complex128'>,) ... ok
test_base.TestCOO.test_sub_dense(<type 'numpy.int64'>,) ... ok
test_base.TestCOO.test_sub_dense(<type 'numpy.float64'>,) ... ok
test_base.TestCOO.test_sub_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestCOO.test_sum(<type 'numpy.uint64'>, 0) ... ok
test_base.TestCOO.test_sum(<type 'numpy.uint64'>, 1) ... ok
test_base.TestCOO.test_sum(<type 'numpy.uint64'>, 2) ... ok
test_base.TestCOO.test_sum(<type 'numpy.uint64'>, 3) ... ok
test_base.TestCOO.test_sum(<type 'numpy.uint64'>, 4) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestCOO.test_sum(<type 'numpy.uint8'>, 0) ... ok
test_base.TestCOO.test_sum(<type 'numpy.uint8'>, 1) ... ok
test_base.TestCOO.test_sum(<type 'numpy.uint8'>, 2) ... ok
test_base.TestCOO.test_sum(<type 'numpy.uint8'>, 3) ... ok
test_base.TestCOO.test_sum(<type 'numpy.uint8'>, 4) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int8'>, 0) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int8'>, 1) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int8'>, 2) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int8'>, 3) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int8'>, 4) ... ok
test_base.TestCOO.test_sum(<type 'numpy.bool_'>, 0) ... ok
test_base.TestCOO.test_sum(<type 'numpy.bool_'>, 1) ... ok
test_base.TestCOO.test_sum(<type 'numpy.bool_'>, 2) ... ok
test_base.TestCOO.test_sum(<type 'numpy.bool_'>, 3) ... ok
test_base.TestCOO.test_sum(<type 'numpy.bool_'>, 4) ... ok
test_base.TestCOO.test_sum(<type 'numpy.float32'>, 0) ... ok
test_base.TestCOO.test_sum(<type 'numpy.float32'>, 1) ... ok
test_base.TestCOO.test_sum(<type 'numpy.float32'>, 2) ... ok
test_base.TestCOO.test_sum(<type 'numpy.float32'>, 3) ... ok
test_base.TestCOO.test_sum(<type 'numpy.float32'>, 4) ... ok
test_base.TestCOO.test_sum(<type 'numpy.uint16'>, 0) ... ok
test_base.TestCOO.test_sum(<type 'numpy.uint16'>, 1) ... ok
test_base.TestCOO.test_sum(<type 'numpy.uint16'>, 2) ... ok
test_base.TestCOO.test_sum(<type 'numpy.uint16'>, 3) ... ok
test_base.TestCOO.test_sum(<type 'numpy.uint16'>, 4) ... ok
test_base.TestCOO.test_sum(<type 'numpy.complex64'>, 0) ... ok
test_base.TestCOO.test_sum(<type 'numpy.complex64'>, 1) ... ok
test_base.TestCOO.test_sum(<type 'numpy.complex64'>, 2) ... ok
test_base.TestCOO.test_sum(<type 'numpy.complex64'>, 3) ... ok
test_base.TestCOO.test_sum(<type 'numpy.complex64'>, 4) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int16'>, 0) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int16'>, 1) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int16'>, 2) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int16'>, 3) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int16'>, 4) ... ok
test_base.TestCOO.test_sum(<type 'numpy.float64'>, 0) ... ok
test_base.TestCOO.test_sum(<type 'numpy.float64'>, 1) ... ok
test_base.TestCOO.test_sum(<type 'numpy.float64'>, 2) ... ok
test_base.TestCOO.test_sum(<type 'numpy.float64'>, 3) ... ok
test_base.TestCOO.test_sum(<type 'numpy.float64'>, 4) ... ok
test_base.TestCOO.test_sum(<type 'numpy.complex128'>, 0) ... ok
test_base.TestCOO.test_sum(<type 'numpy.complex128'>, 1) ... ok
test_base.TestCOO.test_sum(<type 'numpy.complex128'>, 2) ... ok
test_base.TestCOO.test_sum(<type 'numpy.complex128'>, 3) ... ok
test_base.TestCOO.test_sum(<type 'numpy.complex128'>, 4) ... ok
test_base.TestCOO.test_sum(<type 'numpy.uint32'>, 0) ... ok
test_base.TestCOO.test_sum(<type 'numpy.uint32'>, 1) ... ok
test_base.TestCOO.test_sum(<type 'numpy.uint32'>, 2) ... ok
test_base.TestCOO.test_sum(<type 'numpy.uint32'>, 3) ... ok
test_base.TestCOO.test_sum(<type 'numpy.uint32'>, 4) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int32'>, 0) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int32'>, 1) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int32'>, 2) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int32'>, 3) ... ok
test_base.TestCOO.test_sum(<type 'numpy.int32'>, 4) ... ok
test_base.TestCOO.test_sum(<type 'numpy.complex256'>, 0) ... ok
test_base.TestCOO.test_sum(<type 'numpy.complex256'>, 1) ... ok
test_base.TestCOO.test_sum(<type 'numpy.complex256'>, 2) ... ok
test_base.TestCOO.test_sum(<type 'numpy.complex256'>, 3) ... ok
test_base.TestCOO.test_sum(<type 'numpy.complex256'>, 4) ... ok
test_base.TestCOO.test_sum(<type 'numpy.float128'>, 0) ... ok
test_base.TestCOO.test_sum(<type 'numpy.float128'>, 1) ... ok
test_base.TestCOO.test_sum(<type 'numpy.float128'>, 2) ... ok
test_base.TestCOO.test_sum(<type 'numpy.float128'>, 3) ... ok
test_base.TestCOO.test_sum(<type 'numpy.float128'>, 4) ... ok
test_base.TestCOO.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCOO.test_sum_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestCOO.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCOO.test_sum_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestCOO.test_sum_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestCOO.test_sum_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestCOO.test_sum_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestCOO.test_sum_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestCOO.test_sum_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestCOO.test_sum_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestCOO.test_sum_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestCOO.test_sum_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestCOO.test_sum_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestCOO.test_sum_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestCOO.test_sum_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestCOO.test_sum_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestCOO.test_sum_duplicates ... ok
test_base.TestCOO.test_sum_invalid_params ... ok
test_base.TestCOO.test_sum_out ... ok
test_base.TestCOO.test_toarray ... ok
test_base.TestCOO.test_tobsr ... ok
test_base.TestCOO.test_todense ... ok
test_base.TestCOO.test_todia_all_zeros ... ok
test_base.TestCOO.test_todok_duplicates ... ok
test_base.TestCOO.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.uint64'>, 0) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.uint64'>, 1) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.uint8'>, 0) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.uint8'>, 1) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.int8'>, 0) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.int8'>, 1) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.bool_'>, 0) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.bool_'>, 1) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.float32'>, 0) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.float32'>, 1) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.uint16'>, 0) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.uint16'>, 1) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.complex64'>, 0) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.complex64'>, 1) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.int16'>, 0) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.int16'>, 1) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.float64'>, 0) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.float64'>, 1) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.complex128'>, 0) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.complex128'>, 1) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.uint32'>, 0) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.uint32'>, 1) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.int32'>, 0) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.int32'>, 1) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.complex256'>, 0) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.complex256'>, 1) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.float128'>, 0) ... ok
test_base.TestCOO.test_transpose(<type 'numpy.float128'>, 1) ... ok
test_base.TestCOO.test_ufunc_object_array ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.TestCOO.test_unary_ufunc_overrides('sin',) ... ok
test_base.TestCOO.test_unary_ufunc_overrides('tan',) ... ok
test_base.TestCOO.test_unary_ufunc_overrides('arcsin',) ... ok
test_base.TestCOO.test_unary_ufunc_overrides('arctan',) ... ok
test_base.TestCOO.test_unary_ufunc_overrides('sinh',) ... ok
test_base.TestCOO.test_unary_ufunc_overrides('tanh',) ... ok
test_base.TestCOO.test_unary_ufunc_overrides('arcsinh',) ... ok
test_base.TestCOO.test_unary_ufunc_overrides('arctanh',) ... ok
test_base.TestCOO.test_unary_ufunc_overrides('rint',) ... ok
test_base.TestCOO.test_unary_ufunc_overrides('sign',) ... SKIP: sign conflicts with comparison op support on Numpy without __numpy_ufunc__
test_base.TestCOO.test_unary_ufunc_overrides('expm1',) ... ok
test_base.TestCOO.test_unary_ufunc_overrides('log1p',) ... ok
test_base.TestCOO.test_unary_ufunc_overrides('deg2rad',) ... ok
test_base.TestCOO.test_unary_ufunc_overrides('rad2deg',) ... ok
test_base.TestCOO.test_unary_ufunc_overrides('floor',) ... ok
test_base.TestCOO.test_unary_ufunc_overrides('ceil',) ... ok
test_base.TestCOO.test_unary_ufunc_overrides('trunc',) ... ok
test_base.TestCOO.test_unary_ufunc_overrides('sqrt',) ... ok
test_base.TestCOO.test_unary_ufunc_overrides('abs',) ... ok
test_base.TestCOONonCanonical.test_abs ... ok
test_base.TestCOONonCanonical.test_add(<type 'numpy.int64'>,) ... ok
test_base.TestCOONonCanonical.test_add(<type 'numpy.float64'>,) ... ok
test_base.TestCOONonCanonical.test_add(<type 'numpy.complex128'>,) ... ok
test_base.TestCOONonCanonical.test_add0(<type 'numpy.int64'>,) ... ok
test_base.TestCOONonCanonical.test_add0(<type 'numpy.float64'>,) ... ok
test_base.TestCOONonCanonical.test_add0(<type 'numpy.complex128'>,) ... ok
test_base.TestCOONonCanonical.test_add_dense(<type 'numpy.int64'>,) ... ok
test_base.TestCOONonCanonical.test_add_dense(<type 'numpy.float64'>,) ... ok
test_base.TestCOONonCanonical.test_add_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestCOONonCanonical.test_add_sub ... ok
test_base.TestCOONonCanonical.test_asfptype ... ok
test_base.TestCOONonCanonical.test_astype ... ok
test_base.TestCOONonCanonical.test_bad_index ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_bad_index_assign ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_binop_custom_type ... ok
test_base.TestCOONonCanonical.test_bool ... SKIP: Skipping test: test_bool: bool(matrix) counts explicit zeros
test_base.TestCOONonCanonical.test_bool_rollover ... ok
test_base.TestCOONonCanonical.test_constructor1 ... ok
test_base.TestCOONonCanonical.test_constructor2 ... ok
test_base.TestCOONonCanonical.test_constructor3 ... ok
test_base.TestCOONonCanonical.test_constructor4 ... ok
test_base.TestCOONonCanonical.test_copy ... ok
test_base.TestCOONonCanonical.test_count_nonzero ... ok
test_base.TestCOONonCanonical.test_diagonal ... ok
test_base.TestCOONonCanonical.test_dtype_preservation ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_elementwise_divide ... ok
test_base.TestCOONonCanonical.test_elementwise_multiply ... ok
test_base.TestCOONonCanonical.test_elementwise_multiply_broadcast ... ok
test_base.TestCOONonCanonical.test_elementwise_power ... ok
test_base.TestCOONonCanonical.test_eliminate_zeros ... ok
test_base.TestCOONonCanonical.test_ellipsis_slicing ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_empty ... SKIP: Skipping test: test_empty: nnz counts explicit zeros
test_base.TestCOONonCanonical.test_empty_arithmetic ... ok
test_base.TestCOONonCanonical.test_eq(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_eq(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_eq(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_eq(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_eq(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_eq(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_eq(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_eq(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_eq(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_eq(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_eq(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_eq(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_eq(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_eq(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_eq(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_eq(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_expm ... ok
test_base.TestCOONonCanonical.test_fancy_assign_empty ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_fancy_assign_list ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_fancy_assign_ndarray ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_fancy_assign_slice ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_fancy_assignment_dtypes ... ok
test_base.TestCOONonCanonical.test_fancy_indexing ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_fancy_indexing_boolean ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_fancy_indexing_empty ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_fancy_indexing_multidim_set ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_fancy_indexing_ndarray ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_fancy_indexing_randomized ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_fancy_indexing_regression_3087 ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_fancy_indexing_seq_assign ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_fancy_indexing_set ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_fancy_indexing_sparse_boolean ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_from_array ... ok
test_base.TestCOONonCanonical.test_from_list ... ok
test_base.TestCOONonCanonical.test_from_matrix ... ok
test_base.TestCOONonCanonical.test_from_sparse ... ok
test_base.TestCOONonCanonical.test_ge(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ge(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ge(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ge(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ge(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ge(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ge(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ge(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ge(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ge(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ge(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ge(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ge(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ge(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ge(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ge(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_get_horiz_slice ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_get_slices ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_get_vert_slice ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_getcol ... ok
test_base.TestCOONonCanonical.test_getelement ... ok
test_base.TestCOONonCanonical.test_getnnz_axis ... SKIP: Skipping test: test_getnnz_axis: getnnz-axis counts explicit zeros
test_base.TestCOONonCanonical.test_getrow ... ok
test_base.TestCOONonCanonical.test_gt(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_gt(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_gt(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_gt(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_gt(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_gt(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_gt(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_gt(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_gt(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_gt(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_gt(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_gt(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_gt(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_gt(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_gt(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_gt(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_idiv_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCOONonCanonical.test_idiv_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCOONonCanonical.test_imag ... ok
test_base.TestCOONonCanonical.test_imul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestCOONonCanonical.test_imul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCOONonCanonical.test_imul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCOONonCanonical.test_index_scalar_assign ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_inplace_dense ... ok
test_base.TestCOONonCanonical.test_inplace_success ... ok
test_base.TestCOONonCanonical.test_inv(<type 'float'>,) ... ok
test_base.TestCOONonCanonical.test_invalid_shapes ... ok
test_base.TestCOONonCanonical.test_iterator ... KNOWNFAIL: COO does not have a __getitem__
test_base.TestCOONonCanonical.test_le(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_le(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_le(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_le(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_le(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_le(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_le(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_le(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_le(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_le(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_le(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_le(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_le(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_le(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_le(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_le(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_lt(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_lt(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_lt(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_lt(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_lt(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_lt(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_lt(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_lt(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_lt(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_lt(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_lt(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_lt(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_lt(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_lt(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_lt(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_lt(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_matmat_dense ... ok
test_base.TestCOONonCanonical.test_matmat_sparse ... ok
test_base.TestCOONonCanonical.test_matmul ... SKIP: matmul is only tested in Python 3.5+
test_base.TestCOONonCanonical.test_matvec ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar2') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('int64'), dtype('int8'), 'dense') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('int64'), dtype('int8'), 'sparse') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar2') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('int64'), dtype('float64'), 'dense') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('int64'), dtype('float64'), 'sparse') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'dense') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'sparse') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar2') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('float64'), dtype('int8'), 'dense') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('float64'), dtype('int8'), 'sparse') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar2') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('float64'), dtype('float64'), 'dense') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('float64'), dtype('float64'), 'sparse') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'dense') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'sparse') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar2') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'dense') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'sparse') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar2') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'dense') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'sparse') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'dense') ... ok
test_base.TestCOONonCanonical.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'sparse') ... ok
test_base.TestCOONonCanonical.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestCOONonCanonical.test_mean(<type 'numpy.uint64'>,) ... ok
test_base.TestCOONonCanonical.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestCOONonCanonical.test_mean(<type 'numpy.uint8'>,) ... ok
test_base.TestCOONonCanonical.test_mean(<type 'numpy.int8'>,) ... ok
test_base.TestCOONonCanonical.test_mean(<type 'numpy.bool_'>,) ... ok
test_base.TestCOONonCanonical.test_mean(<type 'numpy.float32'>,) ... ok
test_base.TestCOONonCanonical.test_mean(<type 'numpy.uint16'>,) ... ok
test_base.TestCOONonCanonical.test_mean(<type 'numpy.complex64'>,) ... ok
test_base.TestCOONonCanonical.test_mean(<type 'numpy.int16'>,) ... ok
test_base.TestCOONonCanonical.test_mean(<type 'numpy.float64'>,) ... ok
test_base.TestCOONonCanonical.test_mean(<type 'numpy.complex128'>,) ... ok
test_base.TestCOONonCanonical.test_mean(<type 'numpy.uint32'>,) ... ok
test_base.TestCOONonCanonical.test_mean(<type 'numpy.int32'>,) ... ok
test_base.TestCOONonCanonical.test_mean(<type 'numpy.complex256'>,) ... ok
test_base.TestCOONonCanonical.test_mean(<type 'numpy.float128'>,) ... ok
test_base.TestCOONonCanonical.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCOONonCanonical.test_mean_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestCOONonCanonical.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCOONonCanonical.test_mean_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestCOONonCanonical.test_mean_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestCOONonCanonical.test_mean_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestCOONonCanonical.test_mean_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestCOONonCanonical.test_mean_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestCOONonCanonical.test_mean_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestCOONonCanonical.test_mean_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestCOONonCanonical.test_mean_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestCOONonCanonical.test_mean_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestCOONonCanonical.test_mean_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestCOONonCanonical.test_mean_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestCOONonCanonical.test_mean_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestCOONonCanonical.test_mean_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestCOONonCanonical.test_mean_invalid_params ... ok
test_base.TestCOONonCanonical.test_mean_out ... ok
test_base.TestCOONonCanonical.test_minmax ... ok
test_base.TestCOONonCanonical.test_minmax_axis ... ok
test_base.TestCOONonCanonical.test_minmax_invalid_params ... ok
test_base.TestCOONonCanonical.test_mu ... ok
test_base.TestCOONonCanonical.test_mul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestCOONonCanonical.test_mul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCOONonCanonical.test_mul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCOONonCanonical.test_multiple_ellipsis_slicing ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.TestCOONonCanonical.test_ne(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ne(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ne(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ne(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ne(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ne(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ne(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ne(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ne(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ne(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ne(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ne(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ne(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ne(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ne(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_ne(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestCOONonCanonical.test_neg ... ok
test_base.TestCOONonCanonical.test_negative_index_assignment ... ok
test_base.TestCOONonCanonical.test_non_unit_stride_2d_indexing ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_nonzero ... ok
test_base.TestCOONonCanonical.test_numpy_mean ... ok
test_base.TestCOONonCanonical.test_numpy_minmax ... ok
test_base.TestCOONonCanonical.test_numpy_nonzero ... ok
test_base.TestCOONonCanonical.test_numpy_sum ... ok
test_base.TestCOONonCanonical.test_pow ... ok
test_base.TestCOONonCanonical.test_radd(<type 'numpy.int64'>,) ... ok
test_base.TestCOONonCanonical.test_radd(<type 'numpy.float64'>,) ... ok
test_base.TestCOONonCanonical.test_radd(<type 'numpy.complex128'>,) ... ok
test_base.TestCOONonCanonical.test_real ... ok
test_base.TestCOONonCanonical.test_repr ... ok
test_base.TestCOONonCanonical.test_rmatvec ... ok
test_base.TestCOONonCanonical.test_rmul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestCOONonCanonical.test_rmul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCOONonCanonical.test_rmul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCOONonCanonical.test_rsub(<type 'numpy.int64'>,) ... ok
test_base.TestCOONonCanonical.test_rsub(<type 'numpy.float64'>,) ... ok
test_base.TestCOONonCanonical.test_rsub(<type 'numpy.complex128'>,) ... ok
test_base.TestCOONonCanonical.test_scalar_assign_2 ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_self_self_assignment ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_sequence_assignment ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_set_slice ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_setdiag ... ok
test_base.TestCOONonCanonical.test_setdiag_noncanonical ... ok
test_base.TestCOONonCanonical.test_setelement ... ok
test_base.TestCOONonCanonical.test_size_zero_conversions ... ok
test_base.TestCOONonCanonical.test_size_zero_matrix_arithmetic ... ok
test_base.TestCOONonCanonical.test_slice_assign_2 ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_slice_assignment ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_slice_scalar_assign ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_slicing_2 ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_slicing_3 ... ok
test_base.TestCOONonCanonical.test_small_multiplication ... ok
test_base.TestCOONonCanonical.test_solve ... ok
test_base.TestCOONonCanonical.test_sparse_format_conversions ... ok
test_base.TestCOONonCanonical.test_sparsity_modifying_assignment ... SKIP: feature not implemented
test_base.TestCOONonCanonical.test_str ... ok
test_base.TestCOONonCanonical.test_sub(<type 'numpy.int64'>,) ... ok
test_base.TestCOONonCanonical.test_sub(<type 'numpy.float64'>,) ... ok
test_base.TestCOONonCanonical.test_sub(<type 'numpy.complex128'>,) ... ok
test_base.TestCOONonCanonical.test_sub_dense(<type 'numpy.int64'>,) ... ok
test_base.TestCOONonCanonical.test_sub_dense(<type 'numpy.float64'>,) ... ok
test_base.TestCOONonCanonical.test_sub_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.uint64'>, 0) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.uint64'>, 1) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.uint64'>, 2) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.uint64'>, 3) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.uint64'>, 4) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.uint8'>, 0) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.uint8'>, 1) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.uint8'>, 2) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.uint8'>, 3) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.uint8'>, 4) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int8'>, 0) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int8'>, 1) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int8'>, 2) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int8'>, 3) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int8'>, 4) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.bool_'>, 0) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.bool_'>, 1) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.bool_'>, 2) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.bool_'>, 3) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.bool_'>, 4) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.float32'>, 0) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.float32'>, 1) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.float32'>, 2) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.float32'>, 3) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.float32'>, 4) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.uint16'>, 0) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.uint16'>, 1) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.uint16'>, 2) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.uint16'>, 3) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.uint16'>, 4) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.complex64'>, 0) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.complex64'>, 1) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.complex64'>, 2) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.complex64'>, 3) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.complex64'>, 4) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int16'>, 0) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int16'>, 1) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int16'>, 2) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int16'>, 3) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int16'>, 4) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.float64'>, 0) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.float64'>, 1) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.float64'>, 2) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.float64'>, 3) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.float64'>, 4) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.complex128'>, 0) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.complex128'>, 1) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.complex128'>, 2) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.complex128'>, 3) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.complex128'>, 4) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.uint32'>, 0) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.uint32'>, 1) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.uint32'>, 2) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.uint32'>, 3) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.uint32'>, 4) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int32'>, 0) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int32'>, 1) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int32'>, 2) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int32'>, 3) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.int32'>, 4) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.complex256'>, 0) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.complex256'>, 1) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.complex256'>, 2) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.complex256'>, 3) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.complex256'>, 4) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.float128'>, 0) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.float128'>, 1) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.float128'>, 2) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.float128'>, 3) ... ok
test_base.TestCOONonCanonical.test_sum(<type 'numpy.float128'>, 4) ... ok
test_base.TestCOONonCanonical.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCOONonCanonical.test_sum_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestCOONonCanonical.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCOONonCanonical.test_sum_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestCOONonCanonical.test_sum_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestCOONonCanonical.test_sum_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestCOONonCanonical.test_sum_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestCOONonCanonical.test_sum_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestCOONonCanonical.test_sum_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestCOONonCanonical.test_sum_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestCOONonCanonical.test_sum_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestCOONonCanonical.test_sum_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestCOONonCanonical.test_sum_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestCOONonCanonical.test_sum_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestCOONonCanonical.test_sum_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestCOONonCanonical.test_sum_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestCOONonCanonical.test_sum_duplicates ... ok
test_base.TestCOONonCanonical.test_sum_invalid_params ... ok
test_base.TestCOONonCanonical.test_sum_out ... ok
test_base.TestCOONonCanonical.test_toarray ... ok
test_base.TestCOONonCanonical.test_tobsr ... ok
test_base.TestCOONonCanonical.test_todense ... ok
test_base.TestCOONonCanonical.test_todia_all_zeros ... ok
test_base.TestCOONonCanonical.test_todok_duplicates ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.uint64'>, 0) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.uint64'>, 1) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.uint8'>, 0) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.uint8'>, 1) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.int8'>, 0) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.int8'>, 1) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.bool_'>, 0) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.bool_'>, 1) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.float32'>, 0) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.float32'>, 1) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.uint16'>, 0) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.uint16'>, 1) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.complex64'>, 0) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.complex64'>, 1) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.int16'>, 0) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.int16'>, 1) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.float64'>, 0) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.float64'>, 1) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.complex128'>, 0) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.complex128'>, 1) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.uint32'>, 0) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.uint32'>, 1) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.int32'>, 0) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.int32'>, 1) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.complex256'>, 0) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.complex256'>, 1) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.float128'>, 0) ... ok
test_base.TestCOONonCanonical.test_transpose(<type 'numpy.float128'>, 1) ... ok
test_base.TestCOONonCanonical.test_ufunc_object_array ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.TestCOONonCanonical.test_unary_ufunc_overrides ... KNOWNFAIL: unary ufunc overrides broken with non-canonical matrix
test_base.TestCSC.test_abs ... ok
test_base.TestCSC.test_add(<type 'numpy.bool_'>,) ... ok
test_base.TestCSC.test_add(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_add(<type 'numpy.float64'>,) ... ok
test_base.TestCSC.test_add(<type 'numpy.complex128'>,) ... ok
test_base.TestCSC.test_add0(<type 'numpy.bool_'>,) ... ok
test_base.TestCSC.test_add0(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_add0(<type 'numpy.float64'>,) ... ok
test_base.TestCSC.test_add0(<type 'numpy.complex128'>,) ... ok
test_base.TestCSC.test_add_dense(<type 'numpy.bool_'>,) ... ok
test_base.TestCSC.test_add_dense(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_add_dense(<type 'numpy.float64'>,) ... ok
test_base.TestCSC.test_add_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestCSC.test_add_sub ... ok
test_base.TestCSC.test_asfptype ... ok
test_base.TestCSC.test_astype ... ok
test_base.TestCSC.test_bad_index ... ok
test_base.TestCSC.test_bad_index_assign ... ok
test_base.TestCSC.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_binop_custom_type ... ok
test_base.TestCSC.test_bool(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_bool(<type 'numpy.uint64'>,) ... ok
test_base.TestCSC.test_bool(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_bool(<type 'numpy.uint8'>,) ... ok
test_base.TestCSC.test_bool(<type 'numpy.int8'>,) ... ok
test_base.TestCSC.test_bool(<type 'numpy.bool_'>,) ... ok
test_base.TestCSC.test_bool(<type 'numpy.float32'>,) ... ok
test_base.TestCSC.test_bool(<type 'numpy.uint16'>,) ... ok
test_base.TestCSC.test_bool(<type 'numpy.complex64'>,) ... ok
test_base.TestCSC.test_bool(<type 'numpy.int16'>,) ... ok
test_base.TestCSC.test_bool(<type 'numpy.float64'>,) ... ok
test_base.TestCSC.test_bool(<type 'numpy.complex128'>,) ... ok
test_base.TestCSC.test_bool(<type 'numpy.uint32'>,) ... ok
test_base.TestCSC.test_bool(<type 'numpy.int32'>,) ... ok
test_base.TestCSC.test_bool(<type 'numpy.complex256'>,) ... ok
test_base.TestCSC.test_bool(<type 'numpy.float128'>,) ... ok
test_base.TestCSC.test_bool_rollover ... ok
test_base.TestCSC.test_constructor1 ... ok
test_base.TestCSC.test_constructor2 ... ok
test_base.TestCSC.test_constructor3 ... ok
test_base.TestCSC.test_constructor4 ... ok
test_base.TestCSC.test_constructor5 ... ok
test_base.TestCSC.test_constructor6 ... ok
test_base.TestCSC.test_copy ... ok
test_base.TestCSC.test_count_nonzero ... ok
test_base.TestCSC.test_diagonal ... ok
test_base.TestCSC.test_dtype_preservation ... ok
test_base.TestCSC.test_elementwise_divide ... ok
test_base.TestCSC.test_elementwise_multiply ... ok
test_base.TestCSC.test_elementwise_multiply_broadcast ... ok
test_base.TestCSC.test_elementwise_power ... ok
test_base.TestCSC.test_eliminate_zeros ... ok
test_base.TestCSC.test_ellipsis_slicing ... ok
test_base.TestCSC.test_empty ... ok
test_base.TestCSC.test_empty_arithmetic ... ok
test_base.TestCSC.test_eq(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_eq(<type 'numpy.uint64'>,) ... ok
test_base.TestCSC.test_eq(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_eq(<type 'numpy.uint8'>,) ... ok
test_base.TestCSC.test_eq(<type 'numpy.int8'>,) ... ok
test_base.TestCSC.test_eq(<type 'numpy.bool_'>,) ... ok
test_base.TestCSC.test_eq(<type 'numpy.float32'>,) ... ok
test_base.TestCSC.test_eq(<type 'numpy.uint16'>,) ... ok
test_base.TestCSC.test_eq(<type 'numpy.complex64'>,) ... ok
test_base.TestCSC.test_eq(<type 'numpy.int16'>,) ... ok
test_base.TestCSC.test_eq(<type 'numpy.float64'>,) ... ok
test_base.TestCSC.test_eq(<type 'numpy.complex128'>,) ... ok
test_base.TestCSC.test_eq(<type 'numpy.uint32'>,) ... ok
test_base.TestCSC.test_eq(<type 'numpy.int32'>,) ... ok
test_base.TestCSC.test_eq(<type 'numpy.complex256'>,) ... ok
test_base.TestCSC.test_eq(<type 'numpy.float128'>,) ... ok
test_base.TestCSC.test_expm ... ok
test_base.TestCSC.test_fancy_assign_empty ... ok
test_base.TestCSC.test_fancy_assign_list ... ok
test_base.TestCSC.test_fancy_assign_ndarray ... ok
test_base.TestCSC.test_fancy_assign_slice ... ok
test_base.TestCSC.test_fancy_assignment_dtypes(dtype('bool'),) ... ok
test_base.TestCSC.test_fancy_assignment_dtypes(dtype('int8'),) ... ok
test_base.TestCSC.test_fancy_assignment_dtypes(dtype('uint8'),) ... ok
test_base.TestCSC.test_fancy_assignment_dtypes(dtype('int16'),) ... ok
test_base.TestCSC.test_fancy_assignment_dtypes(dtype('uint16'),) ... ok
test_base.TestCSC.test_fancy_assignment_dtypes(dtype('int32'),) ... ok
test_base.TestCSC.test_fancy_assignment_dtypes(dtype('uint32'),) ... ok
test_base.TestCSC.test_fancy_assignment_dtypes(dtype('int64'),) ... ok
test_base.TestCSC.test_fancy_assignment_dtypes(dtype('uint64'),) ... ok
test_base.TestCSC.test_fancy_assignment_dtypes(dtype('float32'),) ... ok
test_base.TestCSC.test_fancy_assignment_dtypes(dtype('float64'),) ... ok
test_base.TestCSC.test_fancy_assignment_dtypes(dtype('float128'),) ... ok
test_base.TestCSC.test_fancy_assignment_dtypes(dtype('complex64'),) ... ok
test_base.TestCSC.test_fancy_assignment_dtypes(dtype('complex128'),) ... ok
test_base.TestCSC.test_fancy_assignment_dtypes(dtype('complex256'),) ... ok
test_base.TestCSC.test_fancy_indexing ... ok
test_base.TestCSC.test_fancy_indexing_boolean ... ok
test_base.TestCSC.test_fancy_indexing_broadcast ... ok
test_base.TestCSC.test_fancy_indexing_empty ... ok
test_base.TestCSC.test_fancy_indexing_multidim_set ... ok
test_base.TestCSC.test_fancy_indexing_ndarray ... ok
test_base.TestCSC.test_fancy_indexing_randomized ... ok
test_base.TestCSC.test_fancy_indexing_regression_3087 ... ok
test_base.TestCSC.test_fancy_indexing_seq_assign ... ok
test_base.TestCSC.test_fancy_indexing_set ... ok
test_base.TestCSC.test_fancy_indexing_sparse_boolean ... ok
test_base.TestCSC.test_from_array ... ok
test_base.TestCSC.test_from_list ... ok
test_base.TestCSC.test_from_matrix ... ok
test_base.TestCSC.test_from_sparse ... ok
test_base.TestCSC.test_ge(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_ge(<type 'numpy.uint64'>,) ... ok
test_base.TestCSC.test_ge(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_ge(<type 'numpy.uint8'>,) ... ok
test_base.TestCSC.test_ge(<type 'numpy.int8'>,) ... ok
test_base.TestCSC.test_ge(<type 'numpy.bool_'>,) ... ok
test_base.TestCSC.test_ge(<type 'numpy.float32'>,) ... ok
test_base.TestCSC.test_ge(<type 'numpy.uint16'>,) ... ok
test_base.TestCSC.test_ge(<type 'numpy.complex64'>,) ... ok
test_base.TestCSC.test_ge(<type 'numpy.int16'>,) ... ok
test_base.TestCSC.test_ge(<type 'numpy.float64'>,) ... ok
test_base.TestCSC.test_ge(<type 'numpy.complex128'>,) ... ok
test_base.TestCSC.test_ge(<type 'numpy.uint32'>,) ... ok
test_base.TestCSC.test_ge(<type 'numpy.int32'>,) ... ok
test_base.TestCSC.test_ge(<type 'numpy.complex256'>,) ... ok
test_base.TestCSC.test_ge(<type 'numpy.float128'>,) ... ok
test_base.TestCSC.test_get_horiz_slice ... ok
test_base.TestCSC.test_get_slices ... ok
test_base.TestCSC.test_get_vert_slice ... ok
test_base.TestCSC.test_getcol ... ok
test_base.TestCSC.test_getelement(dtype('bool'),) ... ok
test_base.TestCSC.test_getelement(dtype('int8'),) ... ok
test_base.TestCSC.test_getelement(dtype('uint8'),) ... ok
test_base.TestCSC.test_getelement(dtype('int16'),) ... ok
test_base.TestCSC.test_getelement(dtype('uint16'),) ... ok
test_base.TestCSC.test_getelement(dtype('int32'),) ... ok
test_base.TestCSC.test_getelement(dtype('uint32'),) ... ok
test_base.TestCSC.test_getelement(dtype('int64'),) ... ok
test_base.TestCSC.test_getelement(dtype('uint64'),) ... ok
test_base.TestCSC.test_getelement(dtype('float32'),) ... ok
test_base.TestCSC.test_getelement(dtype('float64'),) ... ok
test_base.TestCSC.test_getelement(dtype('float128'),) ... ok
test_base.TestCSC.test_getelement(dtype('complex64'),) ... ok
test_base.TestCSC.test_getelement(dtype('complex128'),) ... ok
test_base.TestCSC.test_getelement(dtype('complex256'),) ... ok
test_base.TestCSC.test_getnnz_axis ... ok
test_base.TestCSC.test_getrow ... ok
test_base.TestCSC.test_gt(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_gt(<type 'numpy.uint64'>,) ... ok
test_base.TestCSC.test_gt(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_gt(<type 'numpy.uint8'>,) ... ok
test_base.TestCSC.test_gt(<type 'numpy.int8'>,) ... ok
test_base.TestCSC.test_gt(<type 'numpy.bool_'>,) ... ok
test_base.TestCSC.test_gt(<type 'numpy.float32'>,) ... ok
test_base.TestCSC.test_gt(<type 'numpy.uint16'>,) ... ok
test_base.TestCSC.test_gt(<type 'numpy.complex64'>,) ... ok
test_base.TestCSC.test_gt(<type 'numpy.int16'>,) ... ok
test_base.TestCSC.test_gt(<type 'numpy.float64'>,) ... ok
test_base.TestCSC.test_gt(<type 'numpy.complex128'>,) ... ok
test_base.TestCSC.test_gt(<type 'numpy.uint32'>,) ... ok
test_base.TestCSC.test_gt(<type 'numpy.int32'>,) ... ok
test_base.TestCSC.test_gt(<type 'numpy.complex256'>,) ... ok
test_base.TestCSC.test_gt(<type 'numpy.float128'>,) ... ok
test_base.TestCSC.test_idiv_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCSC.test_idiv_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCSC.test_imag ... ok
test_base.TestCSC.test_imul_scalar(<type 'numpy.bool_'>,) ... ok
test_base.TestCSC.test_imul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_imul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCSC.test_imul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCSC.test_index_scalar_assign ... ok
test_base.TestCSC.test_inplace_dense ... ok
test_base.TestCSC.test_inplace_success ... ok
test_base.TestCSC.test_inv(<type 'float'>,) ... ok
test_base.TestCSC.test_invalid_shapes ... ok
test_base.TestCSC.test_iterator ... ok
test_base.TestCSC.test_le(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_le(<type 'numpy.uint64'>,) ... ok
test_base.TestCSC.test_le(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_le(<type 'numpy.uint8'>,) ... ok
test_base.TestCSC.test_le(<type 'numpy.int8'>,) ... ok
test_base.TestCSC.test_le(<type 'numpy.bool_'>,) ... ok
test_base.TestCSC.test_le(<type 'numpy.float32'>,) ... ok
test_base.TestCSC.test_le(<type 'numpy.uint16'>,) ... ok
test_base.TestCSC.test_le(<type 'numpy.complex64'>,) ... ok
test_base.TestCSC.test_le(<type 'numpy.int16'>,) ... ok
test_base.TestCSC.test_le(<type 'numpy.float64'>,) ... ok
test_base.TestCSC.test_le(<type 'numpy.complex128'>,) ... ok
test_base.TestCSC.test_le(<type 'numpy.uint32'>,) ... ok
test_base.TestCSC.test_le(<type 'numpy.int32'>,) ... ok
test_base.TestCSC.test_le(<type 'numpy.complex256'>,) ... ok
test_base.TestCSC.test_le(<type 'numpy.float128'>,) ... ok
test_base.TestCSC.test_lt(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_lt(<type 'numpy.uint64'>,) ... ok
test_base.TestCSC.test_lt(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_lt(<type 'numpy.uint8'>,) ... ok
test_base.TestCSC.test_lt(<type 'numpy.int8'>,) ... ok
test_base.TestCSC.test_lt(<type 'numpy.bool_'>,) ... ok
test_base.TestCSC.test_lt(<type 'numpy.float32'>,) ... ok
test_base.TestCSC.test_lt(<type 'numpy.uint16'>,) ... ok
test_base.TestCSC.test_lt(<type 'numpy.complex64'>,) ... ok
test_base.TestCSC.test_lt(<type 'numpy.int16'>,) ... ok
test_base.TestCSC.test_lt(<type 'numpy.float64'>,) ... ok
test_base.TestCSC.test_lt(<type 'numpy.complex128'>,) ... ok
test_base.TestCSC.test_lt(<type 'numpy.uint32'>,) ... ok
test_base.TestCSC.test_lt(<type 'numpy.int32'>,) ... ok
test_base.TestCSC.test_lt(<type 'numpy.complex256'>,) ... ok
test_base.TestCSC.test_lt(<type 'numpy.float128'>,) ... ok
test_base.TestCSC.test_matmat_dense ... ok
test_base.TestCSC.test_matmat_sparse ... ok
test_base.TestCSC.test_matmul ... SKIP: matmul is only tested in Python 3.5+
test_base.TestCSC.test_matvec ... ok
test_base.TestCSC.test_maximum_minimum(dtype('bool'), dtype('int8'), 'scalar') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('bool'), dtype('int8'), 'scalar2') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('bool'), dtype('int8'), 'dense') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('bool'), dtype('int8'), 'sparse') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('bool'), dtype('float64'), 'scalar') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('bool'), dtype('float64'), 'scalar2') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('bool'), dtype('float64'), 'dense') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('bool'), dtype('float64'), 'sparse') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('bool'), dtype('complex128'), 'scalar') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('bool'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('bool'), dtype('complex128'), 'dense') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('bool'), dtype('complex128'), 'sparse') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar2') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('int64'), dtype('int8'), 'dense') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('int64'), dtype('int8'), 'sparse') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar2') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('int64'), dtype('float64'), 'dense') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('int64'), dtype('float64'), 'sparse') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'dense') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'sparse') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar2') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('float64'), dtype('int8'), 'dense') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('float64'), dtype('int8'), 'sparse') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar2') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('float64'), dtype('float64'), 'dense') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('float64'), dtype('float64'), 'sparse') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'dense') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'sparse') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar2') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'dense') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'sparse') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar2') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'dense') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'sparse') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'dense') ... ok
test_base.TestCSC.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'sparse') ... ok
test_base.TestCSC.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_mean(<type 'numpy.uint64'>,) ... ok
test_base.TestCSC.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_mean(<type 'numpy.uint8'>,) ... ok
test_base.TestCSC.test_mean(<type 'numpy.int8'>,) ... ok
test_base.TestCSC.test_mean(<type 'numpy.bool_'>,) ... ok
test_base.TestCSC.test_mean(<type 'numpy.float32'>,) ... ok
test_base.TestCSC.test_mean(<type 'numpy.uint16'>,) ... ok
test_base.TestCSC.test_mean(<type 'numpy.complex64'>,) ... ok
test_base.TestCSC.test_mean(<type 'numpy.int16'>,) ... ok
test_base.TestCSC.test_mean(<type 'numpy.float64'>,) ... ok
test_base.TestCSC.test_mean(<type 'numpy.complex128'>,) ... ok
test_base.TestCSC.test_mean(<type 'numpy.uint32'>,) ... ok
test_base.TestCSC.test_mean(<type 'numpy.int32'>,) ... ok
test_base.TestCSC.test_mean(<type 'numpy.complex256'>,) ... ok
test_base.TestCSC.test_mean(<type 'numpy.float128'>,) ... ok
test_base.TestCSC.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_mean_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestCSC.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_mean_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestCSC.test_mean_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestCSC.test_mean_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestCSC.test_mean_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestCSC.test_mean_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestCSC.test_mean_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestCSC.test_mean_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestCSC.test_mean_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestCSC.test_mean_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestCSC.test_mean_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestCSC.test_mean_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestCSC.test_mean_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestCSC.test_mean_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestCSC.test_mean_invalid_params ... ok
test_base.TestCSC.test_mean_out ... ok
test_base.TestCSC.test_minmax ... ok
test_base.TestCSC.test_minmax_axis ... ok
test_base.TestCSC.test_minmax_invalid_params ... ok
test_base.TestCSC.test_mu ... ok
test_base.TestCSC.test_mul_scalar(<type 'numpy.bool_'>,) ... ok
test_base.TestCSC.test_mul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_mul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCSC.test_mul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCSC.test_multiple_ellipsis_slicing ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.TestCSC.test_ne(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_ne(<type 'numpy.uint64'>,) ... ok
test_base.TestCSC.test_ne(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_ne(<type 'numpy.uint8'>,) ... ok
test_base.TestCSC.test_ne(<type 'numpy.int8'>,) ... ok
test_base.TestCSC.test_ne(<type 'numpy.bool_'>,) ... ok
test_base.TestCSC.test_ne(<type 'numpy.float32'>,) ... ok
test_base.TestCSC.test_ne(<type 'numpy.uint16'>,) ... ok
test_base.TestCSC.test_ne(<type 'numpy.complex64'>,) ... ok
test_base.TestCSC.test_ne(<type 'numpy.int16'>,) ... ok
test_base.TestCSC.test_ne(<type 'numpy.float64'>,) ... ok
test_base.TestCSC.test_ne(<type 'numpy.complex128'>,) ... ok
test_base.TestCSC.test_ne(<type 'numpy.uint32'>,) ... ok
test_base.TestCSC.test_ne(<type 'numpy.int32'>,) ... ok
test_base.TestCSC.test_ne(<type 'numpy.complex256'>,) ... ok
test_base.TestCSC.test_ne(<type 'numpy.float128'>,) ... ok
test_base.TestCSC.test_neg ... ok
test_base.TestCSC.test_negative_index_assignment(dtype('bool'),) ... ok
test_base.TestCSC.test_negative_index_assignment(dtype('int64'),) ... ok
test_base.TestCSC.test_negative_index_assignment(dtype('float64'),) ... ok
test_base.TestCSC.test_negative_index_assignment(dtype('complex128'),) ... ok
test_base.TestCSC.test_non_unit_stride_2d_indexing ... ok
test_base.TestCSC.test_nonzero ... ok
test_base.TestCSC.test_numpy_mean ... ok
test_base.TestCSC.test_numpy_minmax ... ok
test_base.TestCSC.test_numpy_nonzero ... ok
test_base.TestCSC.test_numpy_sum ... ok
test_base.TestCSC.test_pow ... ok
test_base.TestCSC.test_radd(<type 'numpy.bool_'>,) ... ok
test_base.TestCSC.test_radd(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_radd(<type 'numpy.float64'>,) ... ok
test_base.TestCSC.test_radd(<type 'numpy.complex128'>,) ... ok
test_base.TestCSC.test_real ... ok
test_base.TestCSC.test_repr ... ok
test_base.TestCSC.test_rmatvec ... ok
test_base.TestCSC.test_rmul_scalar(<type 'numpy.bool_'>,) ... ok
test_base.TestCSC.test_rmul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_rmul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCSC.test_rmul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCSC.test_rsub(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_rsub(<type 'numpy.float64'>,) ... ok
test_base.TestCSC.test_rsub(<type 'numpy.complex128'>,) ... ok
test_base.TestCSC.test_scalar_assign_2 ... ok
test_base.TestCSC.test_scalar_idx_dtype ... ok
test_base.TestCSC.test_self_self_assignment ... ok
test_base.TestCSC.test_sequence_assignment ... ok
test_base.TestCSC.test_set_slice ... ok
test_base.TestCSC.test_setdiag ... ok
test_base.TestCSC.test_setelement(dtype('bool'),) ... ok
test_base.TestCSC.test_setelement(dtype('int8'),) ... ok
test_base.TestCSC.test_setelement(dtype('uint8'),) ... ok
test_base.TestCSC.test_setelement(dtype('int16'),) ... ok
test_base.TestCSC.test_setelement(dtype('uint16'),) ... ok
test_base.TestCSC.test_setelement(dtype('int32'),) ... ok
test_base.TestCSC.test_setelement(dtype('uint32'),) ... ok
test_base.TestCSC.test_setelement(dtype('int64'),) ... ok
test_base.TestCSC.test_setelement(dtype('uint64'),) ... ok
test_base.TestCSC.test_setelement(dtype('float32'),) ... ok
test_base.TestCSC.test_setelement(dtype('float64'),) ... ok
test_base.TestCSC.test_setelement(dtype('float128'),) ... ok
test_base.TestCSC.test_setelement(dtype('complex64'),) ... ok
test_base.TestCSC.test_setelement(dtype('complex128'),) ... ok
test_base.TestCSC.test_setelement(dtype('complex256'),) ... ok
test_base.TestCSC.test_size_zero_conversions ... ok
test_base.TestCSC.test_size_zero_matrix_arithmetic ... ok
test_base.TestCSC.test_slice_assign_2 ... ok
test_base.TestCSC.test_slice_assignment ... ok
test_base.TestCSC.test_slice_scalar_assign ... ok
test_base.TestCSC.test_slicing_2 ... ok
test_base.TestCSC.test_slicing_3(slice(None, 2, None),) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 2, None),) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, None),) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, 2),) ... ok
test_base.TestCSC.test_slicing_3(slice(8, 3, -1),) ... ok
test_base.TestCSC.test_slicing_3(slice(4, None, -2),) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 5, -1),) ... ok
test_base.TestCSC.test_slicing_3(0,) ... ok
test_base.TestCSC.test_slicing_3(1,) ... ok
test_base.TestCSC.test_slicing_3(slice(None, None, None),) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 5, None),) ... ok
test_base.TestCSC.test_slicing_3(-1,) ... ok
test_base.TestCSC.test_slicing_3(-2,) ... ok
test_base.TestCSC.test_slicing_3(-5,) ... ok
test_base.TestCSC.test_slicing_3(array(-1),) ... ok
test_base.TestCSC.test_slicing_3(-3,) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 2, None), slice(None, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 2, None), slice(1, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 2, None), slice(3, None, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 2, None), slice(3, None, 2)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 2, None), slice(8, 3, -1)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 2, None), slice(4, None, -2)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 2, None), slice(None, 5, -1)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 2, None), 0) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 2, None), 1) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 2, None), slice(None, None, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 2, None), slice(1, 5, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 2, None), -1) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 2, None), -2) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 2, None), -5) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 2, None), array(4)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 2, None), -3) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 2, None), slice(None, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 2, None), slice(1, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 2, None), slice(3, None, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 2, None), slice(3, None, 2)) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 2, None), slice(8, 3, -1)) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 2, None), slice(4, None, -2)) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 2, None), slice(None, 5, -1)) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 2, None), 0) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 2, None), 1) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 2, None), slice(None, None, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 2, None), slice(1, 5, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 2, None), -1) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 2, None), -2) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 2, None), -5) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 2, None), array(4)) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 2, None), -3) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, None), slice(None, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, None), slice(1, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, None), slice(3, None, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, None), slice(3, None, 2)) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, None), slice(8, 3, -1)) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, None), slice(4, None, -2)) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, None), slice(None, 5, -1)) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, None), 0) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, None), 1) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, None), slice(None, None, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, None), slice(1, 5, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, None), -1) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, None), -2) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, None), -5) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, None), array(4)) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, None), -3) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, 2), slice(None, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, 2), slice(1, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, 2), slice(3, None, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, 2), slice(3, None, 2)) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, 2), slice(8, 3, -1)) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, 2), slice(4, None, -2)) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, 2), slice(None, 5, -1)) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, 2), 0) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, 2), 1) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, 2), slice(None, None, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, 2), slice(1, 5, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, 2), -1) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, 2), -2) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, 2), -5) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, 2), array(4)) ... ok
test_base.TestCSC.test_slicing_3(slice(3, None, 2), -3) ... ok
test_base.TestCSC.test_slicing_3(slice(8, 3, -1), slice(None, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(8, 3, -1), slice(1, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(8, 3, -1), slice(3, None, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(8, 3, -1), slice(3, None, 2)) ... ok
test_base.TestCSC.test_slicing_3(slice(8, 3, -1), slice(8, 3, -1)) ... ok
test_base.TestCSC.test_slicing_3(slice(8, 3, -1), slice(4, None, -2)) ... ok
test_base.TestCSC.test_slicing_3(slice(8, 3, -1), slice(None, 5, -1)) ... ok
test_base.TestCSC.test_slicing_3(slice(8, 3, -1), 0) ... ok
test_base.TestCSC.test_slicing_3(slice(8, 3, -1), 1) ... ok
test_base.TestCSC.test_slicing_3(slice(8, 3, -1), slice(None, None, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(8, 3, -1), slice(1, 5, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(8, 3, -1), -1) ... ok
test_base.TestCSC.test_slicing_3(slice(8, 3, -1), -2) ... ok
test_base.TestCSC.test_slicing_3(slice(8, 3, -1), -5) ... ok
test_base.TestCSC.test_slicing_3(slice(8, 3, -1), array(4)) ... ok
test_base.TestCSC.test_slicing_3(slice(8, 3, -1), -3) ... ok
test_base.TestCSC.test_slicing_3(slice(4, None, -2), slice(None, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(4, None, -2), slice(1, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(4, None, -2), slice(3, None, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(4, None, -2), slice(3, None, 2)) ... ok
test_base.TestCSC.test_slicing_3(slice(4, None, -2), slice(8, 3, -1)) ... ok
test_base.TestCSC.test_slicing_3(slice(4, None, -2), slice(4, None, -2)) ... ok
test_base.TestCSC.test_slicing_3(slice(4, None, -2), slice(None, 5, -1)) ... ok
test_base.TestCSC.test_slicing_3(slice(4, None, -2), 0) ... ok
test_base.TestCSC.test_slicing_3(slice(4, None, -2), 1) ... ok
test_base.TestCSC.test_slicing_3(slice(4, None, -2), slice(None, None, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(4, None, -2), slice(1, 5, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(4, None, -2), -1) ... ok
test_base.TestCSC.test_slicing_3(slice(4, None, -2), -2) ... ok
test_base.TestCSC.test_slicing_3(slice(4, None, -2), -5) ... ok
test_base.TestCSC.test_slicing_3(slice(4, None, -2), array(4)) ... ok
test_base.TestCSC.test_slicing_3(slice(4, None, -2), -3) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 5, -1), slice(None, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 5, -1), slice(1, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 5, -1), slice(3, None, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 5, -1), slice(3, None, 2)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 5, -1), slice(8, 3, -1)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 5, -1), slice(4, None, -2)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 5, -1), slice(None, 5, -1)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 5, -1), 0) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 5, -1), 1) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 5, -1), slice(None, None, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 5, -1), slice(1, 5, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 5, -1), -1) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 5, -1), -2) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 5, -1), -5) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 5, -1), array(4)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, 5, -1), -3) ... ok
test_base.TestCSC.test_slicing_3(0, slice(None, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(0, slice(1, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(0, slice(3, None, None)) ... ok
test_base.TestCSC.test_slicing_3(0, slice(3, None, 2)) ... ok
test_base.TestCSC.test_slicing_3(0, slice(8, 3, -1)) ... ok
test_base.TestCSC.test_slicing_3(0, slice(4, None, -2)) ... ok
test_base.TestCSC.test_slicing_3(0, slice(None, 5, -1)) ... ok
test_base.TestCSC.test_slicing_3(0, 0) ... ok
test_base.TestCSC.test_slicing_3(0, 1) ... ok
test_base.TestCSC.test_slicing_3(0, slice(None, None, None)) ... ok
test_base.TestCSC.test_slicing_3(0, slice(1, 5, None)) ... ok
test_base.TestCSC.test_slicing_3(0, -1) ... ok
test_base.TestCSC.test_slicing_3(0, -2) ... ok
test_base.TestCSC.test_slicing_3(0, -5) ... ok
test_base.TestCSC.test_slicing_3(0, array(4)) ... ok
test_base.TestCSC.test_slicing_3(0, -3) ... ok
test_base.TestCSC.test_slicing_3(1, slice(None, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(1, slice(1, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(1, slice(3, None, None)) ... ok
test_base.TestCSC.test_slicing_3(1, slice(3, None, 2)) ... ok
test_base.TestCSC.test_slicing_3(1, slice(8, 3, -1)) ... ok
test_base.TestCSC.test_slicing_3(1, slice(4, None, -2)) ... ok
test_base.TestCSC.test_slicing_3(1, slice(None, 5, -1)) ... ok
test_base.TestCSC.test_slicing_3(1, 0) ... ok
test_base.TestCSC.test_slicing_3(1, 1) ... ok
test_base.TestCSC.test_slicing_3(1, slice(None, None, None)) ... ok
test_base.TestCSC.test_slicing_3(1, slice(1, 5, None)) ... ok
test_base.TestCSC.test_slicing_3(1, -1) ... ok
test_base.TestCSC.test_slicing_3(1, -2) ... ok
test_base.TestCSC.test_slicing_3(1, -5) ... ok
test_base.TestCSC.test_slicing_3(1, array(4)) ... ok
test_base.TestCSC.test_slicing_3(1, -3) ... ok
test_base.TestCSC.test_slicing_3(slice(None, None, None), slice(None, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, None, None), slice(1, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, None, None), slice(3, None, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, None, None), slice(3, None, 2)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, None, None), slice(8, 3, -1)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, None, None), slice(4, None, -2)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, None, None), slice(None, 5, -1)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, None, None), 0) ... ok
test_base.TestCSC.test_slicing_3(slice(None, None, None), 1) ... ok
test_base.TestCSC.test_slicing_3(slice(None, None, None), slice(None, None, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, None, None), slice(1, 5, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, None, None), -1) ... ok
test_base.TestCSC.test_slicing_3(slice(None, None, None), -2) ... ok
test_base.TestCSC.test_slicing_3(slice(None, None, None), -5) ... ok
test_base.TestCSC.test_slicing_3(slice(None, None, None), array(4)) ... ok
test_base.TestCSC.test_slicing_3(slice(None, None, None), -3) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 5, None), slice(None, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 5, None), slice(1, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 5, None), slice(3, None, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 5, None), slice(3, None, 2)) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 5, None), slice(8, 3, -1)) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 5, None), slice(4, None, -2)) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 5, None), slice(None, 5, -1)) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 5, None), 0) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 5, None), 1) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 5, None), slice(None, None, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 5, None), slice(1, 5, None)) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 5, None), -1) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 5, None), -2) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 5, None), -5) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 5, None), array(4)) ... ok
test_base.TestCSC.test_slicing_3(slice(1, 5, None), -3) ... ok
test_base.TestCSC.test_slicing_3(-1, slice(None, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(-1, slice(1, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(-1, slice(3, None, None)) ... ok
test_base.TestCSC.test_slicing_3(-1, slice(3, None, 2)) ... ok
test_base.TestCSC.test_slicing_3(-1, slice(8, 3, -1)) ... ok
test_base.TestCSC.test_slicing_3(-1, slice(4, None, -2)) ... ok
test_base.TestCSC.test_slicing_3(-1, slice(None, 5, -1)) ... ok
test_base.TestCSC.test_slicing_3(-1, 0) ... ok
test_base.TestCSC.test_slicing_3(-1, 1) ... ok
test_base.TestCSC.test_slicing_3(-1, slice(None, None, None)) ... ok
test_base.TestCSC.test_slicing_3(-1, slice(1, 5, None)) ... ok
test_base.TestCSC.test_slicing_3(-1, -1) ... ok
test_base.TestCSC.test_slicing_3(-1, -2) ... ok
test_base.TestCSC.test_slicing_3(-1, -5) ... ok
test_base.TestCSC.test_slicing_3(-1, array(4)) ... ok
test_base.TestCSC.test_slicing_3(-1, -3) ... ok
test_base.TestCSC.test_slicing_3(-2, slice(None, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(-2, slice(1, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(-2, slice(3, None, None)) ... ok
test_base.TestCSC.test_slicing_3(-2, slice(3, None, 2)) ... ok
test_base.TestCSC.test_slicing_3(-2, slice(8, 3, -1)) ... ok
test_base.TestCSC.test_slicing_3(-2, slice(4, None, -2)) ... ok
test_base.TestCSC.test_slicing_3(-2, slice(None, 5, -1)) ... ok
test_base.TestCSC.test_slicing_3(-2, 0) ... ok
test_base.TestCSC.test_slicing_3(-2, 1) ... ok
test_base.TestCSC.test_slicing_3(-2, slice(None, None, None)) ... ok
test_base.TestCSC.test_slicing_3(-2, slice(1, 5, None)) ... ok
test_base.TestCSC.test_slicing_3(-2, -1) ... ok
test_base.TestCSC.test_slicing_3(-2, -2) ... ok
test_base.TestCSC.test_slicing_3(-2, -5) ... ok
test_base.TestCSC.test_slicing_3(-2, array(4)) ... ok
test_base.TestCSC.test_slicing_3(-2, -3) ... ok
test_base.TestCSC.test_slicing_3(-5, slice(None, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(-5, slice(1, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(-5, slice(3, None, None)) ... ok
test_base.TestCSC.test_slicing_3(-5, slice(3, None, 2)) ... ok
test_base.TestCSC.test_slicing_3(-5, slice(8, 3, -1)) ... ok
test_base.TestCSC.test_slicing_3(-5, slice(4, None, -2)) ... ok
test_base.TestCSC.test_slicing_3(-5, slice(None, 5, -1)) ... ok
test_base.TestCSC.test_slicing_3(-5, 0) ... ok
test_base.TestCSC.test_slicing_3(-5, 1) ... ok
test_base.TestCSC.test_slicing_3(-5, slice(None, None, None)) ... ok
test_base.TestCSC.test_slicing_3(-5, slice(1, 5, None)) ... ok
test_base.TestCSC.test_slicing_3(-5, -1) ... ok
test_base.TestCSC.test_slicing_3(-5, -2) ... ok
test_base.TestCSC.test_slicing_3(-5, -5) ... ok
test_base.TestCSC.test_slicing_3(-5, array(4)) ... ok
test_base.TestCSC.test_slicing_3(-5, -3) ... ok
test_base.TestCSC.test_slicing_3(array(4), slice(None, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(array(4), slice(1, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(array(4), slice(3, None, None)) ... ok
test_base.TestCSC.test_slicing_3(array(4), slice(3, None, 2)) ... ok
test_base.TestCSC.test_slicing_3(array(4), slice(8, 3, -1)) ... ok
test_base.TestCSC.test_slicing_3(array(4), slice(4, None, -2)) ... ok
test_base.TestCSC.test_slicing_3(array(4), slice(None, 5, -1)) ... ok
test_base.TestCSC.test_slicing_3(array(4), 0) ... ok
test_base.TestCSC.test_slicing_3(array(4), 1) ... ok
test_base.TestCSC.test_slicing_3(array(4), slice(None, None, None)) ... ok
test_base.TestCSC.test_slicing_3(array(4), slice(1, 5, None)) ... ok
test_base.TestCSC.test_slicing_3(array(4), -1) ... ok
test_base.TestCSC.test_slicing_3(array(4), -2) ... ok
test_base.TestCSC.test_slicing_3(array(4), -5) ... ok
test_base.TestCSC.test_slicing_3(array(4), array(4)) ... ok
test_base.TestCSC.test_slicing_3(array(4), -3) ... ok
test_base.TestCSC.test_slicing_3(-3, slice(None, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(-3, slice(1, 2, None)) ... ok
test_base.TestCSC.test_slicing_3(-3, slice(3, None, None)) ... ok
test_base.TestCSC.test_slicing_3(-3, slice(3, None, 2)) ... ok
test_base.TestCSC.test_slicing_3(-3, slice(8, 3, -1)) ... ok
test_base.TestCSC.test_slicing_3(-3, slice(4, None, -2)) ... ok
test_base.TestCSC.test_slicing_3(-3, slice(None, 5, -1)) ... ok
test_base.TestCSC.test_slicing_3(-3, 0) ... ok
test_base.TestCSC.test_slicing_3(-3, 1) ... ok
test_base.TestCSC.test_slicing_3(-3, slice(None, None, None)) ... ok
test_base.TestCSC.test_slicing_3(-3, slice(1, 5, None)) ... ok
test_base.TestCSC.test_slicing_3(-3, -1) ... ok
test_base.TestCSC.test_slicing_3(-3, -2) ... ok
test_base.TestCSC.test_slicing_3(-3, -5) ... ok
test_base.TestCSC.test_slicing_3(-3, array(4)) ... ok
test_base.TestCSC.test_slicing_3(-3, -3) ... ok
test_base.TestCSC.test_small_multiplication ... ok
test_base.TestCSC.test_solve ... ok
test_base.TestCSC.test_sort_indices ... ok
test_base.TestCSC.test_sparse_format_conversions ... ok
test_base.TestCSC.test_sparsity_modifying_assignment ... ok
test_base.TestCSC.test_str ... ok
test_base.TestCSC.test_sub(<type 'numpy.bool_'>,) ... ok
test_base.TestCSC.test_sub(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_sub(<type 'numpy.float64'>,) ... ok
test_base.TestCSC.test_sub(<type 'numpy.complex128'>,) ... ok
test_base.TestCSC.test_sub_dense(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_sub_dense(<type 'numpy.float64'>,) ... ok
test_base.TestCSC.test_sub_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestCSC.test_sum(<type 'numpy.uint64'>, 0) ... ok
test_base.TestCSC.test_sum(<type 'numpy.uint64'>, 1) ... ok
test_base.TestCSC.test_sum(<type 'numpy.uint64'>, 2) ... ok
test_base.TestCSC.test_sum(<type 'numpy.uint64'>, 3) ... ok
test_base.TestCSC.test_sum(<type 'numpy.uint64'>, 4) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestCSC.test_sum(<type 'numpy.uint8'>, 0) ... ok
test_base.TestCSC.test_sum(<type 'numpy.uint8'>, 1) ... ok
test_base.TestCSC.test_sum(<type 'numpy.uint8'>, 2) ... ok
test_base.TestCSC.test_sum(<type 'numpy.uint8'>, 3) ... ok
test_base.TestCSC.test_sum(<type 'numpy.uint8'>, 4) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int8'>, 0) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int8'>, 1) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int8'>, 2) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int8'>, 3) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int8'>, 4) ... ok
test_base.TestCSC.test_sum(<type 'numpy.bool_'>, 0) ... ok
test_base.TestCSC.test_sum(<type 'numpy.bool_'>, 1) ... ok
test_base.TestCSC.test_sum(<type 'numpy.bool_'>, 2) ... ok
test_base.TestCSC.test_sum(<type 'numpy.bool_'>, 3) ... ok
test_base.TestCSC.test_sum(<type 'numpy.bool_'>, 4) ... ok
test_base.TestCSC.test_sum(<type 'numpy.float32'>, 0) ... ok
test_base.TestCSC.test_sum(<type 'numpy.float32'>, 1) ... ok
test_base.TestCSC.test_sum(<type 'numpy.float32'>, 2) ... ok
test_base.TestCSC.test_sum(<type 'numpy.float32'>, 3) ... ok
test_base.TestCSC.test_sum(<type 'numpy.float32'>, 4) ... ok
test_base.TestCSC.test_sum(<type 'numpy.uint16'>, 0) ... ok
test_base.TestCSC.test_sum(<type 'numpy.uint16'>, 1) ... ok
test_base.TestCSC.test_sum(<type 'numpy.uint16'>, 2) ... ok
test_base.TestCSC.test_sum(<type 'numpy.uint16'>, 3) ... ok
test_base.TestCSC.test_sum(<type 'numpy.uint16'>, 4) ... ok
test_base.TestCSC.test_sum(<type 'numpy.complex64'>, 0) ... ok
test_base.TestCSC.test_sum(<type 'numpy.complex64'>, 1) ... ok
test_base.TestCSC.test_sum(<type 'numpy.complex64'>, 2) ... ok
test_base.TestCSC.test_sum(<type 'numpy.complex64'>, 3) ... ok
test_base.TestCSC.test_sum(<type 'numpy.complex64'>, 4) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int16'>, 0) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int16'>, 1) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int16'>, 2) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int16'>, 3) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int16'>, 4) ... ok
test_base.TestCSC.test_sum(<type 'numpy.float64'>, 0) ... ok
test_base.TestCSC.test_sum(<type 'numpy.float64'>, 1) ... ok
test_base.TestCSC.test_sum(<type 'numpy.float64'>, 2) ... ok
test_base.TestCSC.test_sum(<type 'numpy.float64'>, 3) ... ok
test_base.TestCSC.test_sum(<type 'numpy.float64'>, 4) ... ok
test_base.TestCSC.test_sum(<type 'numpy.complex128'>, 0) ... ok
test_base.TestCSC.test_sum(<type 'numpy.complex128'>, 1) ... ok
test_base.TestCSC.test_sum(<type 'numpy.complex128'>, 2) ... ok
test_base.TestCSC.test_sum(<type 'numpy.complex128'>, 3) ... ok
test_base.TestCSC.test_sum(<type 'numpy.complex128'>, 4) ... ok
test_base.TestCSC.test_sum(<type 'numpy.uint32'>, 0) ... ok
test_base.TestCSC.test_sum(<type 'numpy.uint32'>, 1) ... ok
test_base.TestCSC.test_sum(<type 'numpy.uint32'>, 2) ... ok
test_base.TestCSC.test_sum(<type 'numpy.uint32'>, 3) ... ok
test_base.TestCSC.test_sum(<type 'numpy.uint32'>, 4) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int32'>, 0) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int32'>, 1) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int32'>, 2) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int32'>, 3) ... ok
test_base.TestCSC.test_sum(<type 'numpy.int32'>, 4) ... ok
test_base.TestCSC.test_sum(<type 'numpy.complex256'>, 0) ... ok
test_base.TestCSC.test_sum(<type 'numpy.complex256'>, 1) ... ok
test_base.TestCSC.test_sum(<type 'numpy.complex256'>, 2) ... ok
test_base.TestCSC.test_sum(<type 'numpy.complex256'>, 3) ... ok
test_base.TestCSC.test_sum(<type 'numpy.complex256'>, 4) ... ok
test_base.TestCSC.test_sum(<type 'numpy.float128'>, 0) ... ok
test_base.TestCSC.test_sum(<type 'numpy.float128'>, 1) ... ok
test_base.TestCSC.test_sum(<type 'numpy.float128'>, 2) ... ok
test_base.TestCSC.test_sum(<type 'numpy.float128'>, 3) ... ok
test_base.TestCSC.test_sum(<type 'numpy.float128'>, 4) ... ok
test_base.TestCSC.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_sum_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestCSC.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCSC.test_sum_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestCSC.test_sum_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestCSC.test_sum_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestCSC.test_sum_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestCSC.test_sum_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestCSC.test_sum_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestCSC.test_sum_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestCSC.test_sum_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestCSC.test_sum_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestCSC.test_sum_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestCSC.test_sum_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestCSC.test_sum_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestCSC.test_sum_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestCSC.test_sum_invalid_params ... ok
test_base.TestCSC.test_sum_out ... ok
test_base.TestCSC.test_toarray ... ok
test_base.TestCSC.test_tobsr ... ok
test_base.TestCSC.test_todense ... ok
test_base.TestCSC.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.uint64'>, 0) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.uint64'>, 1) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.uint8'>, 0) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.uint8'>, 1) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.int8'>, 0) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.int8'>, 1) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.bool_'>, 0) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.bool_'>, 1) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.float32'>, 0) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.float32'>, 1) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.uint16'>, 0) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.uint16'>, 1) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.complex64'>, 0) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.complex64'>, 1) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.int16'>, 0) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.int16'>, 1) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.float64'>, 0) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.float64'>, 1) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.complex128'>, 0) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.complex128'>, 1) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.uint32'>, 0) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.uint32'>, 1) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.int32'>, 0) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.int32'>, 1) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.complex256'>, 0) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.complex256'>, 1) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.float128'>, 0) ... ok
test_base.TestCSC.test_transpose(<type 'numpy.float128'>, 1) ... ok
test_base.TestCSC.test_ufunc_object_array ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.TestCSC.test_ufuncs ... ok
test_base.TestCSC.test_unary_ufunc_overrides('sin',) ... ok
test_base.TestCSC.test_unary_ufunc_overrides('tan',) ... ok
test_base.TestCSC.test_unary_ufunc_overrides('arcsin',) ... ok
test_base.TestCSC.test_unary_ufunc_overrides('arctan',) ... ok
test_base.TestCSC.test_unary_ufunc_overrides('sinh',) ... ok
test_base.TestCSC.test_unary_ufunc_overrides('tanh',) ... ok
test_base.TestCSC.test_unary_ufunc_overrides('arcsinh',) ... ok
test_base.TestCSC.test_unary_ufunc_overrides('arctanh',) ... ok
test_base.TestCSC.test_unary_ufunc_overrides('rint',) ... ok
test_base.TestCSC.test_unary_ufunc_overrides('sign',) ... SKIP: sign conflicts with comparison op support on Numpy without __numpy_ufunc__
test_base.TestCSC.test_unary_ufunc_overrides('expm1',) ... ok
test_base.TestCSC.test_unary_ufunc_overrides('log1p',) ... ok
test_base.TestCSC.test_unary_ufunc_overrides('deg2rad',) ... ok
test_base.TestCSC.test_unary_ufunc_overrides('rad2deg',) ... ok
test_base.TestCSC.test_unary_ufunc_overrides('floor',) ... ok
test_base.TestCSC.test_unary_ufunc_overrides('ceil',) ... ok
test_base.TestCSC.test_unary_ufunc_overrides('trunc',) ... ok
test_base.TestCSC.test_unary_ufunc_overrides('sqrt',) ... ok
test_base.TestCSC.test_unary_ufunc_overrides('abs',) ... ok
test_base.TestCSC.test_unsorted_arithmetic ... ok
test_base.TestCSCNonCanonical.test_abs ... ok
test_base.TestCSCNonCanonical.test_add(<type 'numpy.bool_'>,) ... ok
test_base.TestCSCNonCanonical.test_add(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_add(<type 'numpy.float64'>,) ... ok
test_base.TestCSCNonCanonical.test_add(<type 'numpy.complex128'>,) ... ok
test_base.TestCSCNonCanonical.test_add0(<type 'numpy.bool_'>,) ... ok
test_base.TestCSCNonCanonical.test_add0(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_add0(<type 'numpy.float64'>,) ... ok
test_base.TestCSCNonCanonical.test_add0(<type 'numpy.complex128'>,) ... ok
test_base.TestCSCNonCanonical.test_add_dense(<type 'numpy.bool_'>,) ... ok
test_base.TestCSCNonCanonical.test_add_dense(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_add_dense(<type 'numpy.float64'>,) ... ok
test_base.TestCSCNonCanonical.test_add_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestCSCNonCanonical.test_add_sub ... ok
test_base.TestCSCNonCanonical.test_asfptype ... ok
test_base.TestCSCNonCanonical.test_astype ... ok
test_base.TestCSCNonCanonical.test_bad_index ... ok
test_base.TestCSCNonCanonical.test_bad_index_assign ... ok
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_binop_custom_type ... ok
test_base.TestCSCNonCanonical.test_bool ... SKIP: Skipping test: test_bool: bool(matrix) counts explicit zeros
test_base.TestCSCNonCanonical.test_bool_rollover ... ok
test_base.TestCSCNonCanonical.test_constructor1 ... ok
test_base.TestCSCNonCanonical.test_constructor2 ... ok
test_base.TestCSCNonCanonical.test_constructor3 ... ok
test_base.TestCSCNonCanonical.test_constructor4 ... ok
test_base.TestCSCNonCanonical.test_constructor5 ... ok
test_base.TestCSCNonCanonical.test_constructor6 ... ok
test_base.TestCSCNonCanonical.test_copy ... ok
test_base.TestCSCNonCanonical.test_count_nonzero ... ok
test_base.TestCSCNonCanonical.test_diagonal ... ok
test_base.TestCSCNonCanonical.test_dtype_preservation ... ok
test_base.TestCSCNonCanonical.test_elementwise_divide ... ok
test_base.TestCSCNonCanonical.test_elementwise_multiply ... ok
test_base.TestCSCNonCanonical.test_elementwise_multiply_broadcast ... ok
test_base.TestCSCNonCanonical.test_elementwise_power ... ok
test_base.TestCSCNonCanonical.test_eliminate_zeros ... ok
test_base.TestCSCNonCanonical.test_ellipsis_slicing ... ok
test_base.TestCSCNonCanonical.test_empty ... SKIP: Skipping test: test_empty: nnz counts explicit zeros
test_base.TestCSCNonCanonical.test_empty_arithmetic ... ok
test_base.TestCSCNonCanonical.test_eq(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_eq(<type 'numpy.uint64'>,) ... ok
test_base.TestCSCNonCanonical.test_eq(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_eq(<type 'numpy.uint8'>,) ... ok
test_base.TestCSCNonCanonical.test_eq(<type 'numpy.int8'>,) ... ok
test_base.TestCSCNonCanonical.test_eq(<type 'numpy.bool_'>,) ... ok
test_base.TestCSCNonCanonical.test_eq(<type 'numpy.float32'>,) ... ok
test_base.TestCSCNonCanonical.test_eq(<type 'numpy.uint16'>,) ... ok
test_base.TestCSCNonCanonical.test_eq(<type 'numpy.complex64'>,) ... ok
test_base.TestCSCNonCanonical.test_eq(<type 'numpy.int16'>,) ... ok
test_base.TestCSCNonCanonical.test_eq(<type 'numpy.float64'>,) ... ok
test_base.TestCSCNonCanonical.test_eq(<type 'numpy.complex128'>,) ... ok
test_base.TestCSCNonCanonical.test_eq(<type 'numpy.uint32'>,) ... ok
test_base.TestCSCNonCanonical.test_eq(<type 'numpy.int32'>,) ... ok
test_base.TestCSCNonCanonical.test_eq(<type 'numpy.complex256'>,) ... ok
test_base.TestCSCNonCanonical.test_eq(<type 'numpy.float128'>,) ... ok
test_base.TestCSCNonCanonical.test_expm ... ok
test_base.TestCSCNonCanonical.test_fancy_assign_empty ... ok
test_base.TestCSCNonCanonical.test_fancy_assign_list ... ok
test_base.TestCSCNonCanonical.test_fancy_assign_ndarray ... ok
test_base.TestCSCNonCanonical.test_fancy_assign_slice ... ok
test_base.TestCSCNonCanonical.test_fancy_assignment_dtypes(dtype('bool'),) ... ok
test_base.TestCSCNonCanonical.test_fancy_assignment_dtypes(dtype('int8'),) ... ok
test_base.TestCSCNonCanonical.test_fancy_assignment_dtypes(dtype('uint8'),) ... ok
test_base.TestCSCNonCanonical.test_fancy_assignment_dtypes(dtype('int16'),) ... ok
test_base.TestCSCNonCanonical.test_fancy_assignment_dtypes(dtype('uint16'),) ... ok
test_base.TestCSCNonCanonical.test_fancy_assignment_dtypes(dtype('int32'),) ... ok
test_base.TestCSCNonCanonical.test_fancy_assignment_dtypes(dtype('uint32'),) ... ok
test_base.TestCSCNonCanonical.test_fancy_assignment_dtypes(dtype('int64'),) ... ok
test_base.TestCSCNonCanonical.test_fancy_assignment_dtypes(dtype('uint64'),) ... ok
test_base.TestCSCNonCanonical.test_fancy_assignment_dtypes(dtype('float32'),) ... ok
test_base.TestCSCNonCanonical.test_fancy_assignment_dtypes(dtype('float64'),) ... ok
test_base.TestCSCNonCanonical.test_fancy_assignment_dtypes(dtype('float128'),) ... ok
test_base.TestCSCNonCanonical.test_fancy_assignment_dtypes(dtype('complex64'),) ... ok
test_base.TestCSCNonCanonical.test_fancy_assignment_dtypes(dtype('complex128'),) ... ok
test_base.TestCSCNonCanonical.test_fancy_assignment_dtypes(dtype('complex256'),) ... ok
test_base.TestCSCNonCanonical.test_fancy_indexing ... ok
test_base.TestCSCNonCanonical.test_fancy_indexing_boolean ... ok
test_base.TestCSCNonCanonical.test_fancy_indexing_broadcast ... ok
test_base.TestCSCNonCanonical.test_fancy_indexing_empty ... ok
test_base.TestCSCNonCanonical.test_fancy_indexing_multidim_set ... ok
test_base.TestCSCNonCanonical.test_fancy_indexing_ndarray ... ok
test_base.TestCSCNonCanonical.test_fancy_indexing_randomized ... ok
test_base.TestCSCNonCanonical.test_fancy_indexing_regression_3087 ... ok
test_base.TestCSCNonCanonical.test_fancy_indexing_seq_assign ... ok
test_base.TestCSCNonCanonical.test_fancy_indexing_set ... ok
test_base.TestCSCNonCanonical.test_fancy_indexing_sparse_boolean ... ok
test_base.TestCSCNonCanonical.test_from_array ... ok
test_base.TestCSCNonCanonical.test_from_list ... ok
test_base.TestCSCNonCanonical.test_from_matrix ... ok
test_base.TestCSCNonCanonical.test_from_sparse ... ok
test_base.TestCSCNonCanonical.test_ge(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_ge(<type 'numpy.uint64'>,) ... ok
test_base.TestCSCNonCanonical.test_ge(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_ge(<type 'numpy.uint8'>,) ... ok
test_base.TestCSCNonCanonical.test_ge(<type 'numpy.int8'>,) ... ok
test_base.TestCSCNonCanonical.test_ge(<type 'numpy.bool_'>,) ... ok
test_base.TestCSCNonCanonical.test_ge(<type 'numpy.float32'>,) ... ok
test_base.TestCSCNonCanonical.test_ge(<type 'numpy.uint16'>,) ... ok
test_base.TestCSCNonCanonical.test_ge(<type 'numpy.complex64'>,) ... ok
test_base.TestCSCNonCanonical.test_ge(<type 'numpy.int16'>,) ... ok
test_base.TestCSCNonCanonical.test_ge(<type 'numpy.float64'>,) ... ok
test_base.TestCSCNonCanonical.test_ge(<type 'numpy.complex128'>,) ... ok
test_base.TestCSCNonCanonical.test_ge(<type 'numpy.uint32'>,) ... ok
test_base.TestCSCNonCanonical.test_ge(<type 'numpy.int32'>,) ... ok
test_base.TestCSCNonCanonical.test_ge(<type 'numpy.complex256'>,) ... ok
test_base.TestCSCNonCanonical.test_ge(<type 'numpy.float128'>,) ... ok
test_base.TestCSCNonCanonical.test_get_horiz_slice ... ok
test_base.TestCSCNonCanonical.test_get_slices ... ok
test_base.TestCSCNonCanonical.test_get_vert_slice ... ok
test_base.TestCSCNonCanonical.test_getcol ... ok
test_base.TestCSCNonCanonical.test_getelement(dtype('bool'),) ... ok
test_base.TestCSCNonCanonical.test_getelement(dtype('int8'),) ... ok
test_base.TestCSCNonCanonical.test_getelement(dtype('uint8'),) ... ok
test_base.TestCSCNonCanonical.test_getelement(dtype('int16'),) ... ok
test_base.TestCSCNonCanonical.test_getelement(dtype('uint16'),) ... ok
test_base.TestCSCNonCanonical.test_getelement(dtype('int32'),) ... ok
test_base.TestCSCNonCanonical.test_getelement(dtype('uint32'),) ... ok
test_base.TestCSCNonCanonical.test_getelement(dtype('int64'),) ... ok
test_base.TestCSCNonCanonical.test_getelement(dtype('uint64'),) ... ok
test_base.TestCSCNonCanonical.test_getelement(dtype('float32'),) ... ok
test_base.TestCSCNonCanonical.test_getelement(dtype('float64'),) ... ok
test_base.TestCSCNonCanonical.test_getelement(dtype('float128'),) ... ok
test_base.TestCSCNonCanonical.test_getelement(dtype('complex64'),) ... ok
test_base.TestCSCNonCanonical.test_getelement(dtype('complex128'),) ... ok
test_base.TestCSCNonCanonical.test_getelement(dtype('complex256'),) ... ok
test_base.TestCSCNonCanonical.test_getnnz_axis ... SKIP: Skipping test: test_getnnz_axis: getnnz-axis counts explicit zeros
test_base.TestCSCNonCanonical.test_getrow ... ok
test_base.TestCSCNonCanonical.test_gt(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_gt(<type 'numpy.uint64'>,) ... ok
test_base.TestCSCNonCanonical.test_gt(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_gt(<type 'numpy.uint8'>,) ... ok
test_base.TestCSCNonCanonical.test_gt(<type 'numpy.int8'>,) ... ok
test_base.TestCSCNonCanonical.test_gt(<type 'numpy.bool_'>,) ... ok
test_base.TestCSCNonCanonical.test_gt(<type 'numpy.float32'>,) ... ok
test_base.TestCSCNonCanonical.test_gt(<type 'numpy.uint16'>,) ... ok
test_base.TestCSCNonCanonical.test_gt(<type 'numpy.complex64'>,) ... ok
test_base.TestCSCNonCanonical.test_gt(<type 'numpy.int16'>,) ... ok
test_base.TestCSCNonCanonical.test_gt(<type 'numpy.float64'>,) ... ok
test_base.TestCSCNonCanonical.test_gt(<type 'numpy.complex128'>,) ... ok
test_base.TestCSCNonCanonical.test_gt(<type 'numpy.uint32'>,) ... ok
test_base.TestCSCNonCanonical.test_gt(<type 'numpy.int32'>,) ... ok
test_base.TestCSCNonCanonical.test_gt(<type 'numpy.complex256'>,) ... ok
test_base.TestCSCNonCanonical.test_gt(<type 'numpy.float128'>,) ... ok
test_base.TestCSCNonCanonical.test_idiv_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCSCNonCanonical.test_idiv_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCSCNonCanonical.test_imag ... ok
test_base.TestCSCNonCanonical.test_imul_scalar(<type 'numpy.bool_'>,) ... ok
test_base.TestCSCNonCanonical.test_imul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_imul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCSCNonCanonical.test_imul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCSCNonCanonical.test_index_scalar_assign ... ok
test_base.TestCSCNonCanonical.test_inplace_dense ... ok
test_base.TestCSCNonCanonical.test_inplace_success ... ok
test_base.TestCSCNonCanonical.test_inv ... KNOWNFAIL: inverse broken with non-canonical matrix
test_base.TestCSCNonCanonical.test_invalid_shapes ... ok
test_base.TestCSCNonCanonical.test_iterator ... ok
test_base.TestCSCNonCanonical.test_le(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_le(<type 'numpy.uint64'>,) ... ok
test_base.TestCSCNonCanonical.test_le(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_le(<type 'numpy.uint8'>,) ... ok
test_base.TestCSCNonCanonical.test_le(<type 'numpy.int8'>,) ... ok
test_base.TestCSCNonCanonical.test_le(<type 'numpy.bool_'>,) ... ok
test_base.TestCSCNonCanonical.test_le(<type 'numpy.float32'>,) ... ok
test_base.TestCSCNonCanonical.test_le(<type 'numpy.uint16'>,) ... ok
test_base.TestCSCNonCanonical.test_le(<type 'numpy.complex64'>,) ... ok
test_base.TestCSCNonCanonical.test_le(<type 'numpy.int16'>,) ... ok
test_base.TestCSCNonCanonical.test_le(<type 'numpy.float64'>,) ... ok
test_base.TestCSCNonCanonical.test_le(<type 'numpy.complex128'>,) ... ok
test_base.TestCSCNonCanonical.test_le(<type 'numpy.uint32'>,) ... ok
test_base.TestCSCNonCanonical.test_le(<type 'numpy.int32'>,) ... ok
test_base.TestCSCNonCanonical.test_le(<type 'numpy.complex256'>,) ... ok
test_base.TestCSCNonCanonical.test_le(<type 'numpy.float128'>,) ... ok
test_base.TestCSCNonCanonical.test_lt(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_lt(<type 'numpy.uint64'>,) ... ok
test_base.TestCSCNonCanonical.test_lt(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_lt(<type 'numpy.uint8'>,) ... ok
test_base.TestCSCNonCanonical.test_lt(<type 'numpy.int8'>,) ... ok
test_base.TestCSCNonCanonical.test_lt(<type 'numpy.bool_'>,) ... ok
test_base.TestCSCNonCanonical.test_lt(<type 'numpy.float32'>,) ... ok
test_base.TestCSCNonCanonical.test_lt(<type 'numpy.uint16'>,) ... ok
test_base.TestCSCNonCanonical.test_lt(<type 'numpy.complex64'>,) ... ok
test_base.TestCSCNonCanonical.test_lt(<type 'numpy.int16'>,) ... ok
test_base.TestCSCNonCanonical.test_lt(<type 'numpy.float64'>,) ... ok
test_base.TestCSCNonCanonical.test_lt(<type 'numpy.complex128'>,) ... ok
test_base.TestCSCNonCanonical.test_lt(<type 'numpy.uint32'>,) ... ok
test_base.TestCSCNonCanonical.test_lt(<type 'numpy.int32'>,) ... ok
test_base.TestCSCNonCanonical.test_lt(<type 'numpy.complex256'>,) ... ok
test_base.TestCSCNonCanonical.test_lt(<type 'numpy.float128'>,) ... ok
test_base.TestCSCNonCanonical.test_matmat_dense ... ok
test_base.TestCSCNonCanonical.test_matmat_sparse ... ok
test_base.TestCSCNonCanonical.test_matmul ... SKIP: matmul is only tested in Python 3.5+
test_base.TestCSCNonCanonical.test_matvec ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('bool'), dtype('int8'), 'scalar') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('bool'), dtype('int8'), 'scalar2') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('bool'), dtype('int8'), 'dense') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('bool'), dtype('int8'), 'sparse') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('bool'), dtype('float64'), 'scalar') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('bool'), dtype('float64'), 'scalar2') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('bool'), dtype('float64'), 'dense') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('bool'), dtype('float64'), 'sparse') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('bool'), dtype('complex128'), 'scalar') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('bool'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('bool'), dtype('complex128'), 'dense') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('bool'), dtype('complex128'), 'sparse') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar2') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('int64'), dtype('int8'), 'dense') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('int64'), dtype('int8'), 'sparse') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar2') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('int64'), dtype('float64'), 'dense') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('int64'), dtype('float64'), 'sparse') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'dense') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'sparse') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar2') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('float64'), dtype('int8'), 'dense') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('float64'), dtype('int8'), 'sparse') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar2') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('float64'), dtype('float64'), 'dense') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('float64'), dtype('float64'), 'sparse') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'dense') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'sparse') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar2') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'dense') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'sparse') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar2') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'dense') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'sparse') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'dense') ... ok
test_base.TestCSCNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'sparse') ... ok
test_base.TestCSCNonCanonical.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_mean(<type 'numpy.uint64'>,) ... ok
test_base.TestCSCNonCanonical.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_mean(<type 'numpy.uint8'>,) ... ok
test_base.TestCSCNonCanonical.test_mean(<type 'numpy.int8'>,) ... ok
test_base.TestCSCNonCanonical.test_mean(<type 'numpy.bool_'>,) ... ok
test_base.TestCSCNonCanonical.test_mean(<type 'numpy.float32'>,) ... ok
test_base.TestCSCNonCanonical.test_mean(<type 'numpy.uint16'>,) ... ok
test_base.TestCSCNonCanonical.test_mean(<type 'numpy.complex64'>,) ... ok
test_base.TestCSCNonCanonical.test_mean(<type 'numpy.int16'>,) ... ok
test_base.TestCSCNonCanonical.test_mean(<type 'numpy.float64'>,) ... ok
test_base.TestCSCNonCanonical.test_mean(<type 'numpy.complex128'>,) ... ok
test_base.TestCSCNonCanonical.test_mean(<type 'numpy.uint32'>,) ... ok
test_base.TestCSCNonCanonical.test_mean(<type 'numpy.int32'>,) ... ok
test_base.TestCSCNonCanonical.test_mean(<type 'numpy.complex256'>,) ... ok
test_base.TestCSCNonCanonical.test_mean(<type 'numpy.float128'>,) ... ok
test_base.TestCSCNonCanonical.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_mean_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestCSCNonCanonical.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_mean_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestCSCNonCanonical.test_mean_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestCSCNonCanonical.test_mean_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestCSCNonCanonical.test_mean_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestCSCNonCanonical.test_mean_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestCSCNonCanonical.test_mean_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestCSCNonCanonical.test_mean_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestCSCNonCanonical.test_mean_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestCSCNonCanonical.test_mean_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestCSCNonCanonical.test_mean_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestCSCNonCanonical.test_mean_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestCSCNonCanonical.test_mean_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestCSCNonCanonical.test_mean_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestCSCNonCanonical.test_mean_invalid_params ... ok
test_base.TestCSCNonCanonical.test_mean_out ... ok
test_base.TestCSCNonCanonical.test_minmax ... ok
test_base.TestCSCNonCanonical.test_minmax_axis ... ok
test_base.TestCSCNonCanonical.test_minmax_invalid_params ... ok
test_base.TestCSCNonCanonical.test_mu ... ok
test_base.TestCSCNonCanonical.test_mul_scalar(<type 'numpy.bool_'>,) ... ok
test_base.TestCSCNonCanonical.test_mul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_mul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCSCNonCanonical.test_mul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCSCNonCanonical.test_multiple_ellipsis_slicing ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.TestCSCNonCanonical.test_ne(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_ne(<type 'numpy.uint64'>,) ... ok
test_base.TestCSCNonCanonical.test_ne(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_ne(<type 'numpy.uint8'>,) ... ok
test_base.TestCSCNonCanonical.test_ne(<type 'numpy.int8'>,) ... ok
test_base.TestCSCNonCanonical.test_ne(<type 'numpy.bool_'>,) ... ok
test_base.TestCSCNonCanonical.test_ne(<type 'numpy.float32'>,) ... ok
test_base.TestCSCNonCanonical.test_ne(<type 'numpy.uint16'>,) ... ok
test_base.TestCSCNonCanonical.test_ne(<type 'numpy.complex64'>,) ... ok
test_base.TestCSCNonCanonical.test_ne(<type 'numpy.int16'>,) ... ok
test_base.TestCSCNonCanonical.test_ne(<type 'numpy.float64'>,) ... ok
test_base.TestCSCNonCanonical.test_ne(<type 'numpy.complex128'>,) ... ok
test_base.TestCSCNonCanonical.test_ne(<type 'numpy.uint32'>,) ... ok
test_base.TestCSCNonCanonical.test_ne(<type 'numpy.int32'>,) ... ok
test_base.TestCSCNonCanonical.test_ne(<type 'numpy.complex256'>,) ... ok
test_base.TestCSCNonCanonical.test_ne(<type 'numpy.float128'>,) ... ok
test_base.TestCSCNonCanonical.test_neg ... ok
test_base.TestCSCNonCanonical.test_negative_index_assignment(dtype('bool'),) ... ok
test_base.TestCSCNonCanonical.test_negative_index_assignment(dtype('int64'),) ... ok
test_base.TestCSCNonCanonical.test_negative_index_assignment(dtype('float64'),) ... ok
test_base.TestCSCNonCanonical.test_negative_index_assignment(dtype('complex128'),) ... ok
test_base.TestCSCNonCanonical.test_non_unit_stride_2d_indexing ... ok
test_base.TestCSCNonCanonical.test_nonzero ... ok
test_base.TestCSCNonCanonical.test_numpy_mean ... ok
test_base.TestCSCNonCanonical.test_numpy_minmax ... ok
test_base.TestCSCNonCanonical.test_numpy_nonzero ... ok
test_base.TestCSCNonCanonical.test_numpy_sum ... ok
test_base.TestCSCNonCanonical.test_pow ... ok
test_base.TestCSCNonCanonical.test_radd(<type 'numpy.bool_'>,) ... ok
test_base.TestCSCNonCanonical.test_radd(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_radd(<type 'numpy.float64'>,) ... ok
test_base.TestCSCNonCanonical.test_radd(<type 'numpy.complex128'>,) ... ok
test_base.TestCSCNonCanonical.test_real ... ok
test_base.TestCSCNonCanonical.test_repr ... ok
test_base.TestCSCNonCanonical.test_rmatvec ... ok
test_base.TestCSCNonCanonical.test_rmul_scalar(<type 'numpy.bool_'>,) ... ok
test_base.TestCSCNonCanonical.test_rmul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_rmul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCSCNonCanonical.test_rmul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCSCNonCanonical.test_rsub(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_rsub(<type 'numpy.float64'>,) ... ok
test_base.TestCSCNonCanonical.test_rsub(<type 'numpy.complex128'>,) ... ok
test_base.TestCSCNonCanonical.test_scalar_assign_2 ... ok
test_base.TestCSCNonCanonical.test_scalar_idx_dtype ... ok
test_base.TestCSCNonCanonical.test_self_self_assignment ... ok
test_base.TestCSCNonCanonical.test_sequence_assignment ... ok
test_base.TestCSCNonCanonical.test_set_slice ... ok
test_base.TestCSCNonCanonical.test_setdiag ... ok
test_base.TestCSCNonCanonical.test_setelement(dtype('bool'),) ... ok
test_base.TestCSCNonCanonical.test_setelement(dtype('int8'),) ... ok
test_base.TestCSCNonCanonical.test_setelement(dtype('uint8'),) ... ok
test_base.TestCSCNonCanonical.test_setelement(dtype('int16'),) ... ok
test_base.TestCSCNonCanonical.test_setelement(dtype('uint16'),) ... ok
test_base.TestCSCNonCanonical.test_setelement(dtype('int32'),) ... ok
test_base.TestCSCNonCanonical.test_setelement(dtype('uint32'),) ... ok
test_base.TestCSCNonCanonical.test_setelement(dtype('int64'),) ... ok
test_base.TestCSCNonCanonical.test_setelement(dtype('uint64'),) ... ok
test_base.TestCSCNonCanonical.test_setelement(dtype('float32'),) ... ok
test_base.TestCSCNonCanonical.test_setelement(dtype('float64'),) ... ok
test_base.TestCSCNonCanonical.test_setelement(dtype('float128'),) ... ok
test_base.TestCSCNonCanonical.test_setelement(dtype('complex64'),) ... ok
test_base.TestCSCNonCanonical.test_setelement(dtype('complex128'),) ... ok
test_base.TestCSCNonCanonical.test_setelement(dtype('complex256'),) ... ok
test_base.TestCSCNonCanonical.test_size_zero_conversions ... ok
test_base.TestCSCNonCanonical.test_size_zero_matrix_arithmetic ... ok
test_base.TestCSCNonCanonical.test_slice_assign_2 ... ok
test_base.TestCSCNonCanonical.test_slice_assignment ... ok
test_base.TestCSCNonCanonical.test_slice_scalar_assign ... ok
test_base.TestCSCNonCanonical.test_slicing_2 ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 2, None),) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 2, None),) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, None),) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, 2),) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(8, 3, -1),) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(4, None, -2),) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 5, -1),) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(0,) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(1,) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, None, None),) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 5, None),) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-1,) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-2,) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-5,) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(array(-1),) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-3,) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 2, None), slice(None, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 2, None), slice(1, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 2, None), slice(3, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 2, None), slice(3, None, 2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 2, None), slice(8, 3, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 2, None), slice(4, None, -2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 2, None), slice(None, 5, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 2, None), 0) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 2, None), 1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 2, None), slice(None, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 2, None), slice(1, 5, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 2, None), -1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 2, None), -2) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 2, None), -5) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 2, None), array(4)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 2, None), -3) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 2, None), slice(None, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 2, None), slice(1, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 2, None), slice(3, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 2, None), slice(3, None, 2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 2, None), slice(8, 3, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 2, None), slice(4, None, -2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 2, None), slice(None, 5, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 2, None), 0) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 2, None), 1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 2, None), slice(None, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 2, None), slice(1, 5, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 2, None), -1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 2, None), -2) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 2, None), -5) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 2, None), array(4)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 2, None), -3) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, None), slice(None, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, None), slice(1, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, None), slice(3, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, None), slice(3, None, 2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, None), slice(8, 3, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, None), slice(4, None, -2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, None), slice(None, 5, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, None), 0) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, None), 1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, None), slice(None, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, None), slice(1, 5, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, None), -1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, None), -2) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, None), -5) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, None), array(4)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, None), -3) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, 2), slice(None, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, 2), slice(1, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, 2), slice(3, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, 2), slice(3, None, 2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, 2), slice(8, 3, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, 2), slice(4, None, -2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, 2), slice(None, 5, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, 2), 0) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, 2), 1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, 2), slice(None, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, 2), slice(1, 5, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, 2), -1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, 2), -2) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, 2), -5) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, 2), array(4)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(3, None, 2), -3) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(8, 3, -1), slice(None, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(8, 3, -1), slice(1, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(8, 3, -1), slice(3, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(8, 3, -1), slice(3, None, 2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(8, 3, -1), slice(8, 3, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(8, 3, -1), slice(4, None, -2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(8, 3, -1), slice(None, 5, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(8, 3, -1), 0) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(8, 3, -1), 1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(8, 3, -1), slice(None, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(8, 3, -1), slice(1, 5, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(8, 3, -1), -1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(8, 3, -1), -2) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(8, 3, -1), -5) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(8, 3, -1), array(4)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(8, 3, -1), -3) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(4, None, -2), slice(None, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(4, None, -2), slice(1, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(4, None, -2), slice(3, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(4, None, -2), slice(3, None, 2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(4, None, -2), slice(8, 3, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(4, None, -2), slice(4, None, -2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(4, None, -2), slice(None, 5, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(4, None, -2), 0) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(4, None, -2), 1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(4, None, -2), slice(None, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(4, None, -2), slice(1, 5, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(4, None, -2), -1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(4, None, -2), -2) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(4, None, -2), -5) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(4, None, -2), array(4)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(4, None, -2), -3) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 5, -1), slice(None, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 5, -1), slice(1, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 5, -1), slice(3, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 5, -1), slice(3, None, 2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 5, -1), slice(8, 3, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 5, -1), slice(4, None, -2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 5, -1), slice(None, 5, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 5, -1), 0) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 5, -1), 1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 5, -1), slice(None, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 5, -1), slice(1, 5, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 5, -1), -1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 5, -1), -2) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 5, -1), -5) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 5, -1), array(4)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, 5, -1), -3) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(0, slice(None, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(0, slice(1, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(0, slice(3, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(0, slice(3, None, 2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(0, slice(8, 3, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(0, slice(4, None, -2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(0, slice(None, 5, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(0, 0) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(0, 1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(0, slice(None, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(0, slice(1, 5, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(0, -1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(0, -2) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(0, -5) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(0, array(4)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(0, -3) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(1, slice(None, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(1, slice(1, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(1, slice(3, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(1, slice(3, None, 2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(1, slice(8, 3, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(1, slice(4, None, -2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(1, slice(None, 5, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(1, 0) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(1, 1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(1, slice(None, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(1, slice(1, 5, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(1, -1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(1, -2) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(1, -5) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(1, array(4)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(1, -3) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, None, None), slice(None, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, None, None), slice(1, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, None, None), slice(3, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, None, None), slice(3, None, 2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, None, None), slice(8, 3, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, None, None), slice(4, None, -2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, None, None), slice(None, 5, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, None, None), 0) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, None, None), 1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, None, None), slice(None, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, None, None), slice(1, 5, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, None, None), -1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, None, None), -2) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, None, None), -5) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, None, None), array(4)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(None, None, None), -3) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 5, None), slice(None, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 5, None), slice(1, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 5, None), slice(3, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 5, None), slice(3, None, 2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 5, None), slice(8, 3, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 5, None), slice(4, None, -2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 5, None), slice(None, 5, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 5, None), 0) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 5, None), 1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 5, None), slice(None, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 5, None), slice(1, 5, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 5, None), -1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 5, None), -2) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 5, None), -5) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 5, None), array(4)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(slice(1, 5, None), -3) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-1, slice(None, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-1, slice(1, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-1, slice(3, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-1, slice(3, None, 2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-1, slice(8, 3, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-1, slice(4, None, -2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-1, slice(None, 5, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-1, 0) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-1, 1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-1, slice(None, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-1, slice(1, 5, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-1, -1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-1, -2) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-1, -5) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-1, array(4)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-1, -3) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-2, slice(None, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-2, slice(1, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-2, slice(3, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-2, slice(3, None, 2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-2, slice(8, 3, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-2, slice(4, None, -2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-2, slice(None, 5, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-2, 0) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-2, 1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-2, slice(None, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-2, slice(1, 5, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-2, -1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-2, -2) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-2, -5) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-2, array(4)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-2, -3) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-5, slice(None, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-5, slice(1, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-5, slice(3, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-5, slice(3, None, 2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-5, slice(8, 3, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-5, slice(4, None, -2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-5, slice(None, 5, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-5, 0) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-5, 1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-5, slice(None, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-5, slice(1, 5, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-5, -1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-5, -2) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-5, -5) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-5, array(4)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-5, -3) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(array(4), slice(None, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(array(4), slice(1, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(array(4), slice(3, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(array(4), slice(3, None, 2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(array(4), slice(8, 3, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(array(4), slice(4, None, -2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(array(4), slice(None, 5, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(array(4), 0) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(array(4), 1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(array(4), slice(None, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(array(4), slice(1, 5, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(array(4), -1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(array(4), -2) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(array(4), -5) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(array(4), array(4)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(array(4), -3) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-3, slice(None, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-3, slice(1, 2, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-3, slice(3, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-3, slice(3, None, 2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-3, slice(8, 3, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-3, slice(4, None, -2)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-3, slice(None, 5, -1)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-3, 0) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-3, 1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-3, slice(None, None, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-3, slice(1, 5, None)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-3, -1) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-3, -2) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-3, -5) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-3, array(4)) ... ok
test_base.TestCSCNonCanonical.test_slicing_3(-3, -3) ... ok
test_base.TestCSCNonCanonical.test_small_multiplication ... ok
test_base.TestCSCNonCanonical.test_solve ... KNOWNFAIL: solve broken with non-canonical matrix
test_base.TestCSCNonCanonical.test_sort_indices ... ok
test_base.TestCSCNonCanonical.test_sparse_format_conversions ... ok
test_base.TestCSCNonCanonical.test_sparsity_modifying_assignment ... ok
test_base.TestCSCNonCanonical.test_str ... ok
test_base.TestCSCNonCanonical.test_sub(<type 'numpy.bool_'>,) ... ok
test_base.TestCSCNonCanonical.test_sub(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_sub(<type 'numpy.float64'>,) ... ok
test_base.TestCSCNonCanonical.test_sub(<type 'numpy.complex128'>,) ... ok
test_base.TestCSCNonCanonical.test_sub_dense(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_sub_dense(<type 'numpy.float64'>,) ... ok
test_base.TestCSCNonCanonical.test_sub_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.uint64'>, 0) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.uint64'>, 1) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.uint64'>, 2) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.uint64'>, 3) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.uint64'>, 4) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.uint8'>, 0) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.uint8'>, 1) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.uint8'>, 2) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.uint8'>, 3) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.uint8'>, 4) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int8'>, 0) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int8'>, 1) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int8'>, 2) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int8'>, 3) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int8'>, 4) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.bool_'>, 0) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.bool_'>, 1) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.bool_'>, 2) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.bool_'>, 3) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.bool_'>, 4) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.float32'>, 0) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.float32'>, 1) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.float32'>, 2) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.float32'>, 3) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.float32'>, 4) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.uint16'>, 0) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.uint16'>, 1) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.uint16'>, 2) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.uint16'>, 3) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.uint16'>, 4) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.complex64'>, 0) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.complex64'>, 1) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.complex64'>, 2) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.complex64'>, 3) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.complex64'>, 4) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int16'>, 0) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int16'>, 1) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int16'>, 2) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int16'>, 3) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int16'>, 4) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.float64'>, 0) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.float64'>, 1) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.float64'>, 2) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.float64'>, 3) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.float64'>, 4) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.complex128'>, 0) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.complex128'>, 1) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.complex128'>, 2) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.complex128'>, 3) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.complex128'>, 4) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.uint32'>, 0) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.uint32'>, 1) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.uint32'>, 2) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.uint32'>, 3) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.uint32'>, 4) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int32'>, 0) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int32'>, 1) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int32'>, 2) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int32'>, 3) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.int32'>, 4) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.complex256'>, 0) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.complex256'>, 1) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.complex256'>, 2) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.complex256'>, 3) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.complex256'>, 4) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.float128'>, 0) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.float128'>, 1) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.float128'>, 2) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.float128'>, 3) ... ok
test_base.TestCSCNonCanonical.test_sum(<type 'numpy.float128'>, 4) ... ok
test_base.TestCSCNonCanonical.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_sum_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestCSCNonCanonical.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCSCNonCanonical.test_sum_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestCSCNonCanonical.test_sum_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestCSCNonCanonical.test_sum_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestCSCNonCanonical.test_sum_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestCSCNonCanonical.test_sum_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestCSCNonCanonical.test_sum_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestCSCNonCanonical.test_sum_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestCSCNonCanonical.test_sum_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestCSCNonCanonical.test_sum_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestCSCNonCanonical.test_sum_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestCSCNonCanonical.test_sum_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestCSCNonCanonical.test_sum_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestCSCNonCanonical.test_sum_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestCSCNonCanonical.test_sum_invalid_params ... ok
test_base.TestCSCNonCanonical.test_sum_out ... ok
test_base.TestCSCNonCanonical.test_toarray ... ok
test_base.TestCSCNonCanonical.test_tobsr ... ok
test_base.TestCSCNonCanonical.test_todense ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.uint64'>, 0) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.uint64'>, 1) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.uint8'>, 0) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.uint8'>, 1) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.int8'>, 0) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.int8'>, 1) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.bool_'>, 0) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.bool_'>, 1) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.float32'>, 0) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.float32'>, 1) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.uint16'>, 0) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.uint16'>, 1) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.complex64'>, 0) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.complex64'>, 1) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.int16'>, 0) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.int16'>, 1) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.float64'>, 0) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.float64'>, 1) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.complex128'>, 0) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.complex128'>, 1) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.uint32'>, 0) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.uint32'>, 1) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.int32'>, 0) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.int32'>, 1) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.complex256'>, 0) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.complex256'>, 1) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.float128'>, 0) ... ok
test_base.TestCSCNonCanonical.test_transpose(<type 'numpy.float128'>, 1) ... ok
test_base.TestCSCNonCanonical.test_ufunc_object_array ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.TestCSCNonCanonical.test_ufuncs ... ok
test_base.TestCSCNonCanonical.test_unary_ufunc_overrides ... KNOWNFAIL: unary ufunc overrides broken with non-canonical matrix
test_base.TestCSCNonCanonical.test_unsorted_arithmetic ... ok
test_base.TestCSR.test_abs ... ok
test_base.TestCSR.test_add(<type 'numpy.bool_'>,) ... ok
test_base.TestCSR.test_add(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_add(<type 'numpy.float64'>,) ... ok
test_base.TestCSR.test_add(<type 'numpy.complex128'>,) ... ok
test_base.TestCSR.test_add0(<type 'numpy.bool_'>,) ... ok
test_base.TestCSR.test_add0(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_add0(<type 'numpy.float64'>,) ... ok
test_base.TestCSR.test_add0(<type 'numpy.complex128'>,) ... ok
test_base.TestCSR.test_add_dense(<type 'numpy.bool_'>,) ... ok
test_base.TestCSR.test_add_dense(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_add_dense(<type 'numpy.float64'>,) ... ok
test_base.TestCSR.test_add_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestCSR.test_add_sub ... ok
test_base.TestCSR.test_asfptype ... ok
test_base.TestCSR.test_astype ... ok
test_base.TestCSR.test_bad_index ... ok
test_base.TestCSR.test_bad_index_assign ... ok
test_base.TestCSR.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_binop_custom_type ... ok
test_base.TestCSR.test_bool(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_bool(<type 'numpy.uint64'>,) ... ok
test_base.TestCSR.test_bool(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_bool(<type 'numpy.uint8'>,) ... ok
test_base.TestCSR.test_bool(<type 'numpy.int8'>,) ... ok
test_base.TestCSR.test_bool(<type 'numpy.bool_'>,) ... ok
test_base.TestCSR.test_bool(<type 'numpy.float32'>,) ... ok
test_base.TestCSR.test_bool(<type 'numpy.uint16'>,) ... ok
test_base.TestCSR.test_bool(<type 'numpy.complex64'>,) ... ok
test_base.TestCSR.test_bool(<type 'numpy.int16'>,) ... ok
test_base.TestCSR.test_bool(<type 'numpy.float64'>,) ... ok
test_base.TestCSR.test_bool(<type 'numpy.complex128'>,) ... ok
test_base.TestCSR.test_bool(<type 'numpy.uint32'>,) ... ok
test_base.TestCSR.test_bool(<type 'numpy.int32'>,) ... ok
test_base.TestCSR.test_bool(<type 'numpy.complex256'>,) ... ok
test_base.TestCSR.test_bool(<type 'numpy.float128'>,) ... ok
test_base.TestCSR.test_bool_rollover ... ok
test_base.TestCSR.test_constructor1 ... ok
test_base.TestCSR.test_constructor2 ... ok
test_base.TestCSR.test_constructor3 ... ok
test_base.TestCSR.test_constructor4 ... ok
test_base.TestCSR.test_constructor5 ... ok
test_base.TestCSR.test_constructor6 ... ok
test_base.TestCSR.test_copy ... ok
test_base.TestCSR.test_count_nonzero ... ok
test_base.TestCSR.test_diagonal ... ok
test_base.TestCSR.test_dtype_preservation ... ok
test_base.TestCSR.test_elementwise_divide ... ok
test_base.TestCSR.test_elementwise_multiply ... ok
test_base.TestCSR.test_elementwise_multiply_broadcast ... ok
test_base.TestCSR.test_elementwise_power ... ok
test_base.TestCSR.test_eliminate_zeros ... ok
test_base.TestCSR.test_ellipsis_slicing ... ok
test_base.TestCSR.test_empty ... ok
test_base.TestCSR.test_empty_arithmetic ... ok
test_base.TestCSR.test_eq(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_eq(<type 'numpy.uint64'>,) ... ok
test_base.TestCSR.test_eq(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_eq(<type 'numpy.uint8'>,) ... ok
test_base.TestCSR.test_eq(<type 'numpy.int8'>,) ... ok
test_base.TestCSR.test_eq(<type 'numpy.bool_'>,) ... ok
test_base.TestCSR.test_eq(<type 'numpy.float32'>,) ... ok
test_base.TestCSR.test_eq(<type 'numpy.uint16'>,) ... ok
test_base.TestCSR.test_eq(<type 'numpy.complex64'>,) ... ok
test_base.TestCSR.test_eq(<type 'numpy.int16'>,) ... ok
test_base.TestCSR.test_eq(<type 'numpy.float64'>,) ... ok
test_base.TestCSR.test_eq(<type 'numpy.complex128'>,) ... ok
test_base.TestCSR.test_eq(<type 'numpy.uint32'>,) ... ok
test_base.TestCSR.test_eq(<type 'numpy.int32'>,) ... ok
test_base.TestCSR.test_eq(<type 'numpy.complex256'>,) ... ok
test_base.TestCSR.test_eq(<type 'numpy.float128'>,) ... ok
test_base.TestCSR.test_expm ... ok
test_base.TestCSR.test_fancy_assign_empty ... ok
test_base.TestCSR.test_fancy_assign_list ... ok
test_base.TestCSR.test_fancy_assign_ndarray ... ok
test_base.TestCSR.test_fancy_assign_slice ... ok
test_base.TestCSR.test_fancy_assignment_dtypes(dtype('bool'),) ... ok
test_base.TestCSR.test_fancy_assignment_dtypes(dtype('int8'),) ... ok
test_base.TestCSR.test_fancy_assignment_dtypes(dtype('uint8'),) ... ok
test_base.TestCSR.test_fancy_assignment_dtypes(dtype('int16'),) ... ok
test_base.TestCSR.test_fancy_assignment_dtypes(dtype('uint16'),) ... ok
test_base.TestCSR.test_fancy_assignment_dtypes(dtype('int32'),) ... ok
test_base.TestCSR.test_fancy_assignment_dtypes(dtype('uint32'),) ... ok
test_base.TestCSR.test_fancy_assignment_dtypes(dtype('int64'),) ... ok
test_base.TestCSR.test_fancy_assignment_dtypes(dtype('uint64'),) ... ok
test_base.TestCSR.test_fancy_assignment_dtypes(dtype('float32'),) ... ok
test_base.TestCSR.test_fancy_assignment_dtypes(dtype('float64'),) ... ok
test_base.TestCSR.test_fancy_assignment_dtypes(dtype('float128'),) ... ok
test_base.TestCSR.test_fancy_assignment_dtypes(dtype('complex64'),) ... ok
test_base.TestCSR.test_fancy_assignment_dtypes(dtype('complex128'),) ... ok
test_base.TestCSR.test_fancy_assignment_dtypes(dtype('complex256'),) ... ok
test_base.TestCSR.test_fancy_indexing ... ok
test_base.TestCSR.test_fancy_indexing_boolean ... ok
test_base.TestCSR.test_fancy_indexing_broadcast ... ok
test_base.TestCSR.test_fancy_indexing_empty ... ok
test_base.TestCSR.test_fancy_indexing_multidim_set ... ok
test_base.TestCSR.test_fancy_indexing_ndarray ... ok
test_base.TestCSR.test_fancy_indexing_randomized ... ok
test_base.TestCSR.test_fancy_indexing_regression_3087 ... ok
test_base.TestCSR.test_fancy_indexing_seq_assign ... ok
test_base.TestCSR.test_fancy_indexing_set ... ok
test_base.TestCSR.test_fancy_indexing_sparse_boolean ... ok
test_base.TestCSR.test_from_array ... ok
test_base.TestCSR.test_from_list ... ok
test_base.TestCSR.test_from_matrix ... ok
test_base.TestCSR.test_from_sparse ... ok
test_base.TestCSR.test_ge(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_ge(<type 'numpy.uint64'>,) ... ok
test_base.TestCSR.test_ge(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_ge(<type 'numpy.uint8'>,) ... ok
test_base.TestCSR.test_ge(<type 'numpy.int8'>,) ... ok
test_base.TestCSR.test_ge(<type 'numpy.bool_'>,) ... ok
test_base.TestCSR.test_ge(<type 'numpy.float32'>,) ... ok
test_base.TestCSR.test_ge(<type 'numpy.uint16'>,) ... ok
test_base.TestCSR.test_ge(<type 'numpy.complex64'>,) ... ok
test_base.TestCSR.test_ge(<type 'numpy.int16'>,) ... ok
test_base.TestCSR.test_ge(<type 'numpy.float64'>,) ... ok
test_base.TestCSR.test_ge(<type 'numpy.complex128'>,) ... ok
test_base.TestCSR.test_ge(<type 'numpy.uint32'>,) ... ok
test_base.TestCSR.test_ge(<type 'numpy.int32'>,) ... ok
test_base.TestCSR.test_ge(<type 'numpy.complex256'>,) ... ok
test_base.TestCSR.test_ge(<type 'numpy.float128'>,) ... ok
test_base.TestCSR.test_get_horiz_slice ... ok
test_base.TestCSR.test_get_slices ... ok
test_base.TestCSR.test_get_vert_slice ... ok
test_base.TestCSR.test_getcol ... ok
test_base.TestCSR.test_getelement(dtype('bool'),) ... ok
test_base.TestCSR.test_getelement(dtype('int8'),) ... ok
test_base.TestCSR.test_getelement(dtype('uint8'),) ... ok
test_base.TestCSR.test_getelement(dtype('int16'),) ... ok
test_base.TestCSR.test_getelement(dtype('uint16'),) ... ok
test_base.TestCSR.test_getelement(dtype('int32'),) ... ok
test_base.TestCSR.test_getelement(dtype('uint32'),) ... ok
test_base.TestCSR.test_getelement(dtype('int64'),) ... ok
test_base.TestCSR.test_getelement(dtype('uint64'),) ... ok
test_base.TestCSR.test_getelement(dtype('float32'),) ... ok
test_base.TestCSR.test_getelement(dtype('float64'),) ... ok
test_base.TestCSR.test_getelement(dtype('float128'),) ... ok
test_base.TestCSR.test_getelement(dtype('complex64'),) ... ok
test_base.TestCSR.test_getelement(dtype('complex128'),) ... ok
test_base.TestCSR.test_getelement(dtype('complex256'),) ... ok
test_base.TestCSR.test_getnnz_axis ... ok
test_base.TestCSR.test_getrow ... ok
test_base.TestCSR.test_gt(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_gt(<type 'numpy.uint64'>,) ... ok
test_base.TestCSR.test_gt(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_gt(<type 'numpy.uint8'>,) ... ok
test_base.TestCSR.test_gt(<type 'numpy.int8'>,) ... ok
test_base.TestCSR.test_gt(<type 'numpy.bool_'>,) ... ok
test_base.TestCSR.test_gt(<type 'numpy.float32'>,) ... ok
test_base.TestCSR.test_gt(<type 'numpy.uint16'>,) ... ok
test_base.TestCSR.test_gt(<type 'numpy.complex64'>,) ... ok
test_base.TestCSR.test_gt(<type 'numpy.int16'>,) ... ok
test_base.TestCSR.test_gt(<type 'numpy.float64'>,) ... ok
test_base.TestCSR.test_gt(<type 'numpy.complex128'>,) ... ok
test_base.TestCSR.test_gt(<type 'numpy.uint32'>,) ... ok
test_base.TestCSR.test_gt(<type 'numpy.int32'>,) ... ok
test_base.TestCSR.test_gt(<type 'numpy.complex256'>,) ... ok
test_base.TestCSR.test_gt(<type 'numpy.float128'>,) ... ok
Ensure has_canonical_format memoizes state for sum_duplicates ... ok
Ensure has_sorted_indices memoizes sorted state for sort_indices ... ok
test_base.TestCSR.test_idiv_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCSR.test_idiv_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCSR.test_imag ... ok
test_base.TestCSR.test_imul_scalar(<type 'numpy.bool_'>,) ... ok
test_base.TestCSR.test_imul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_imul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCSR.test_imul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCSR.test_index_scalar_assign ... ok
test_base.TestCSR.test_inplace_dense ... ok
test_base.TestCSR.test_inplace_success ... ok
test_base.TestCSR.test_inv(<type 'float'>,) ... ok
test_base.TestCSR.test_invalid_shapes ... ok
test_base.TestCSR.test_iterator ... ok
test_base.TestCSR.test_le(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_le(<type 'numpy.uint64'>,) ... ok
test_base.TestCSR.test_le(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_le(<type 'numpy.uint8'>,) ... ok
test_base.TestCSR.test_le(<type 'numpy.int8'>,) ... ok
test_base.TestCSR.test_le(<type 'numpy.bool_'>,) ... ok
test_base.TestCSR.test_le(<type 'numpy.float32'>,) ... ok
test_base.TestCSR.test_le(<type 'numpy.uint16'>,) ... ok
test_base.TestCSR.test_le(<type 'numpy.complex64'>,) ... ok
test_base.TestCSR.test_le(<type 'numpy.int16'>,) ... ok
test_base.TestCSR.test_le(<type 'numpy.float64'>,) ... ok
test_base.TestCSR.test_le(<type 'numpy.complex128'>,) ... ok
test_base.TestCSR.test_le(<type 'numpy.uint32'>,) ... ok
test_base.TestCSR.test_le(<type 'numpy.int32'>,) ... ok
test_base.TestCSR.test_le(<type 'numpy.complex256'>,) ... ok
test_base.TestCSR.test_le(<type 'numpy.float128'>,) ... ok
test_base.TestCSR.test_lt(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_lt(<type 'numpy.uint64'>,) ... ok
test_base.TestCSR.test_lt(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_lt(<type 'numpy.uint8'>,) ... ok
test_base.TestCSR.test_lt(<type 'numpy.int8'>,) ... ok
test_base.TestCSR.test_lt(<type 'numpy.bool_'>,) ... ok
test_base.TestCSR.test_lt(<type 'numpy.float32'>,) ... ok
test_base.TestCSR.test_lt(<type 'numpy.uint16'>,) ... ok
test_base.TestCSR.test_lt(<type 'numpy.complex64'>,) ... ok
test_base.TestCSR.test_lt(<type 'numpy.int16'>,) ... ok
test_base.TestCSR.test_lt(<type 'numpy.float64'>,) ... ok
test_base.TestCSR.test_lt(<type 'numpy.complex128'>,) ... ok
test_base.TestCSR.test_lt(<type 'numpy.uint32'>,) ... ok
test_base.TestCSR.test_lt(<type 'numpy.int32'>,) ... ok
test_base.TestCSR.test_lt(<type 'numpy.complex256'>,) ... ok
test_base.TestCSR.test_lt(<type 'numpy.float128'>,) ... ok
test_base.TestCSR.test_matmat_dense ... ok
test_base.TestCSR.test_matmat_sparse ... ok
test_base.TestCSR.test_matmul ... SKIP: matmul is only tested in Python 3.5+
test_base.TestCSR.test_matvec ... ok
test_base.TestCSR.test_maximum_minimum(dtype('bool'), dtype('int8'), 'scalar') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('bool'), dtype('int8'), 'scalar2') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('bool'), dtype('int8'), 'dense') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('bool'), dtype('int8'), 'sparse') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('bool'), dtype('float64'), 'scalar') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('bool'), dtype('float64'), 'scalar2') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('bool'), dtype('float64'), 'dense') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('bool'), dtype('float64'), 'sparse') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('bool'), dtype('complex128'), 'scalar') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('bool'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('bool'), dtype('complex128'), 'dense') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('bool'), dtype('complex128'), 'sparse') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar2') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('int64'), dtype('int8'), 'dense') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('int64'), dtype('int8'), 'sparse') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar2') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('int64'), dtype('float64'), 'dense') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('int64'), dtype('float64'), 'sparse') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'dense') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'sparse') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar2') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('float64'), dtype('int8'), 'dense') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('float64'), dtype('int8'), 'sparse') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar2') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('float64'), dtype('float64'), 'dense') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('float64'), dtype('float64'), 'sparse') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'dense') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'sparse') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar2') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'dense') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'sparse') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar2') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'dense') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'sparse') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'dense') ... ok
test_base.TestCSR.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'sparse') ... ok
test_base.TestCSR.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_mean(<type 'numpy.uint64'>,) ... ok
test_base.TestCSR.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_mean(<type 'numpy.uint8'>,) ... ok
test_base.TestCSR.test_mean(<type 'numpy.int8'>,) ... ok
test_base.TestCSR.test_mean(<type 'numpy.bool_'>,) ... ok
test_base.TestCSR.test_mean(<type 'numpy.float32'>,) ... ok
test_base.TestCSR.test_mean(<type 'numpy.uint16'>,) ... ok
test_base.TestCSR.test_mean(<type 'numpy.complex64'>,) ... ok
test_base.TestCSR.test_mean(<type 'numpy.int16'>,) ... ok
test_base.TestCSR.test_mean(<type 'numpy.float64'>,) ... ok
test_base.TestCSR.test_mean(<type 'numpy.complex128'>,) ... ok
test_base.TestCSR.test_mean(<type 'numpy.uint32'>,) ... ok
test_base.TestCSR.test_mean(<type 'numpy.int32'>,) ... ok
test_base.TestCSR.test_mean(<type 'numpy.complex256'>,) ... ok
test_base.TestCSR.test_mean(<type 'numpy.float128'>,) ... ok
test_base.TestCSR.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_mean_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestCSR.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_mean_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestCSR.test_mean_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestCSR.test_mean_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestCSR.test_mean_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestCSR.test_mean_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestCSR.test_mean_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestCSR.test_mean_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestCSR.test_mean_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestCSR.test_mean_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestCSR.test_mean_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestCSR.test_mean_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestCSR.test_mean_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestCSR.test_mean_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestCSR.test_mean_invalid_params ... ok
test_base.TestCSR.test_mean_out ... ok
test_base.TestCSR.test_minmax ... ok
test_base.TestCSR.test_minmax_axis ... ok
test_base.TestCSR.test_minmax_invalid_params ... ok
test_base.TestCSR.test_mu ... ok
test_base.TestCSR.test_mul_scalar(<type 'numpy.bool_'>,) ... ok
test_base.TestCSR.test_mul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_mul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCSR.test_mul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCSR.test_multiple_ellipsis_slicing ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.TestCSR.test_ne(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_ne(<type 'numpy.uint64'>,) ... ok
test_base.TestCSR.test_ne(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_ne(<type 'numpy.uint8'>,) ... ok
test_base.TestCSR.test_ne(<type 'numpy.int8'>,) ... ok
test_base.TestCSR.test_ne(<type 'numpy.bool_'>,) ... ok
test_base.TestCSR.test_ne(<type 'numpy.float32'>,) ... ok
test_base.TestCSR.test_ne(<type 'numpy.uint16'>,) ... ok
test_base.TestCSR.test_ne(<type 'numpy.complex64'>,) ... ok
test_base.TestCSR.test_ne(<type 'numpy.int16'>,) ... ok
test_base.TestCSR.test_ne(<type 'numpy.float64'>,) ... ok
test_base.TestCSR.test_ne(<type 'numpy.complex128'>,) ... ok
test_base.TestCSR.test_ne(<type 'numpy.uint32'>,) ... ok
test_base.TestCSR.test_ne(<type 'numpy.int32'>,) ... ok
test_base.TestCSR.test_ne(<type 'numpy.complex256'>,) ... ok
test_base.TestCSR.test_ne(<type 'numpy.float128'>,) ... ok
test_base.TestCSR.test_neg ... ok
test_base.TestCSR.test_negative_index_assignment(dtype('bool'),) ... ok
test_base.TestCSR.test_negative_index_assignment(dtype('int64'),) ... ok
test_base.TestCSR.test_negative_index_assignment(dtype('float64'),) ... ok
test_base.TestCSR.test_negative_index_assignment(dtype('complex128'),) ... ok
test_base.TestCSR.test_non_unit_stride_2d_indexing ... ok
test_base.TestCSR.test_nonzero ... ok
test_base.TestCSR.test_numpy_mean ... ok
test_base.TestCSR.test_numpy_minmax ... ok
test_base.TestCSR.test_numpy_nonzero ... ok
test_base.TestCSR.test_numpy_sum ... ok
test_base.TestCSR.test_pow ... ok
test_base.TestCSR.test_radd(<type 'numpy.bool_'>,) ... ok
test_base.TestCSR.test_radd(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_radd(<type 'numpy.float64'>,) ... ok
test_base.TestCSR.test_radd(<type 'numpy.complex128'>,) ... ok
test_base.TestCSR.test_real ... ok
test_base.TestCSR.test_repr ... ok
test_base.TestCSR.test_rmatvec ... ok
test_base.TestCSR.test_rmul_scalar(<type 'numpy.bool_'>,) ... ok
test_base.TestCSR.test_rmul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_rmul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCSR.test_rmul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCSR.test_rsub(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_rsub(<type 'numpy.float64'>,) ... ok
test_base.TestCSR.test_rsub(<type 'numpy.complex128'>,) ... ok
test_base.TestCSR.test_scalar_assign_2 ... ok
test_base.TestCSR.test_scalar_idx_dtype ... ok
test_base.TestCSR.test_self_self_assignment ... ok
test_base.TestCSR.test_sequence_assignment ... ok
test_base.TestCSR.test_set_slice ... ok
test_base.TestCSR.test_setdiag ... ok
test_base.TestCSR.test_setelement(dtype('bool'),) ... ok
test_base.TestCSR.test_setelement(dtype('int8'),) ... ok
test_base.TestCSR.test_setelement(dtype('uint8'),) ... ok
test_base.TestCSR.test_setelement(dtype('int16'),) ... ok
test_base.TestCSR.test_setelement(dtype('uint16'),) ... ok
test_base.TestCSR.test_setelement(dtype('int32'),) ... ok
test_base.TestCSR.test_setelement(dtype('uint32'),) ... ok
test_base.TestCSR.test_setelement(dtype('int64'),) ... ok
test_base.TestCSR.test_setelement(dtype('uint64'),) ... ok
test_base.TestCSR.test_setelement(dtype('float32'),) ... ok
test_base.TestCSR.test_setelement(dtype('float64'),) ... ok
test_base.TestCSR.test_setelement(dtype('float128'),) ... ok
test_base.TestCSR.test_setelement(dtype('complex64'),) ... ok
test_base.TestCSR.test_setelement(dtype('complex128'),) ... ok
test_base.TestCSR.test_setelement(dtype('complex256'),) ... ok
test_base.TestCSR.test_size_zero_conversions ... ok
test_base.TestCSR.test_size_zero_matrix_arithmetic ... ok
test_base.TestCSR.test_slice_assign_2 ... ok
test_base.TestCSR.test_slice_assignment ... ok
test_base.TestCSR.test_slice_scalar_assign ... ok
test_base.TestCSR.test_slicing_2 ... ok
test_base.TestCSR.test_slicing_3(slice(None, 2, None),) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 2, None),) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, None),) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, 2),) ... ok
test_base.TestCSR.test_slicing_3(slice(8, 3, -1),) ... ok
test_base.TestCSR.test_slicing_3(slice(4, None, -2),) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 5, -1),) ... ok
test_base.TestCSR.test_slicing_3(0,) ... ok
test_base.TestCSR.test_slicing_3(1,) ... ok
test_base.TestCSR.test_slicing_3(slice(None, None, None),) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 5, None),) ... ok
test_base.TestCSR.test_slicing_3(-1,) ... ok
test_base.TestCSR.test_slicing_3(-2,) ... ok
test_base.TestCSR.test_slicing_3(-5,) ... ok
test_base.TestCSR.test_slicing_3(array(-1),) ... ok
test_base.TestCSR.test_slicing_3(-3,) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 2, None), slice(None, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 2, None), slice(1, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 2, None), slice(3, None, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 2, None), slice(3, None, 2)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 2, None), slice(8, 3, -1)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 2, None), slice(4, None, -2)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 2, None), slice(None, 5, -1)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 2, None), 0) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 2, None), 1) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 2, None), slice(None, None, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 2, None), slice(1, 5, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 2, None), -1) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 2, None), -2) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 2, None), -5) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 2, None), array(4)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 2, None), -3) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 2, None), slice(None, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 2, None), slice(1, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 2, None), slice(3, None, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 2, None), slice(3, None, 2)) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 2, None), slice(8, 3, -1)) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 2, None), slice(4, None, -2)) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 2, None), slice(None, 5, -1)) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 2, None), 0) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 2, None), 1) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 2, None), slice(None, None, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 2, None), slice(1, 5, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 2, None), -1) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 2, None), -2) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 2, None), -5) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 2, None), array(4)) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 2, None), -3) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, None), slice(None, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, None), slice(1, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, None), slice(3, None, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, None), slice(3, None, 2)) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, None), slice(8, 3, -1)) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, None), slice(4, None, -2)) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, None), slice(None, 5, -1)) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, None), 0) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, None), 1) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, None), slice(None, None, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, None), slice(1, 5, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, None), -1) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, None), -2) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, None), -5) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, None), array(4)) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, None), -3) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, 2), slice(None, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, 2), slice(1, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, 2), slice(3, None, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, 2), slice(3, None, 2)) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, 2), slice(8, 3, -1)) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, 2), slice(4, None, -2)) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, 2), slice(None, 5, -1)) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, 2), 0) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, 2), 1) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, 2), slice(None, None, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, 2), slice(1, 5, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, 2), -1) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, 2), -2) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, 2), -5) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, 2), array(4)) ... ok
test_base.TestCSR.test_slicing_3(slice(3, None, 2), -3) ... ok
test_base.TestCSR.test_slicing_3(slice(8, 3, -1), slice(None, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(8, 3, -1), slice(1, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(8, 3, -1), slice(3, None, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(8, 3, -1), slice(3, None, 2)) ... ok
test_base.TestCSR.test_slicing_3(slice(8, 3, -1), slice(8, 3, -1)) ... ok
test_base.TestCSR.test_slicing_3(slice(8, 3, -1), slice(4, None, -2)) ... ok
test_base.TestCSR.test_slicing_3(slice(8, 3, -1), slice(None, 5, -1)) ... ok
test_base.TestCSR.test_slicing_3(slice(8, 3, -1), 0) ... ok
test_base.TestCSR.test_slicing_3(slice(8, 3, -1), 1) ... ok
test_base.TestCSR.test_slicing_3(slice(8, 3, -1), slice(None, None, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(8, 3, -1), slice(1, 5, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(8, 3, -1), -1) ... ok
test_base.TestCSR.test_slicing_3(slice(8, 3, -1), -2) ... ok
test_base.TestCSR.test_slicing_3(slice(8, 3, -1), -5) ... ok
test_base.TestCSR.test_slicing_3(slice(8, 3, -1), array(4)) ... ok
test_base.TestCSR.test_slicing_3(slice(8, 3, -1), -3) ... ok
test_base.TestCSR.test_slicing_3(slice(4, None, -2), slice(None, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(4, None, -2), slice(1, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(4, None, -2), slice(3, None, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(4, None, -2), slice(3, None, 2)) ... ok
test_base.TestCSR.test_slicing_3(slice(4, None, -2), slice(8, 3, -1)) ... ok
test_base.TestCSR.test_slicing_3(slice(4, None, -2), slice(4, None, -2)) ... ok
test_base.TestCSR.test_slicing_3(slice(4, None, -2), slice(None, 5, -1)) ... ok
test_base.TestCSR.test_slicing_3(slice(4, None, -2), 0) ... ok
test_base.TestCSR.test_slicing_3(slice(4, None, -2), 1) ... ok
test_base.TestCSR.test_slicing_3(slice(4, None, -2), slice(None, None, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(4, None, -2), slice(1, 5, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(4, None, -2), -1) ... ok
test_base.TestCSR.test_slicing_3(slice(4, None, -2), -2) ... ok
test_base.TestCSR.test_slicing_3(slice(4, None, -2), -5) ... ok
test_base.TestCSR.test_slicing_3(slice(4, None, -2), array(4)) ... ok
test_base.TestCSR.test_slicing_3(slice(4, None, -2), -3) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 5, -1), slice(None, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 5, -1), slice(1, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 5, -1), slice(3, None, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 5, -1), slice(3, None, 2)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 5, -1), slice(8, 3, -1)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 5, -1), slice(4, None, -2)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 5, -1), slice(None, 5, -1)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 5, -1), 0) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 5, -1), 1) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 5, -1), slice(None, None, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 5, -1), slice(1, 5, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 5, -1), -1) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 5, -1), -2) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 5, -1), -5) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 5, -1), array(4)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, 5, -1), -3) ... ok
test_base.TestCSR.test_slicing_3(0, slice(None, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(0, slice(1, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(0, slice(3, None, None)) ... ok
test_base.TestCSR.test_slicing_3(0, slice(3, None, 2)) ... ok
test_base.TestCSR.test_slicing_3(0, slice(8, 3, -1)) ... ok
test_base.TestCSR.test_slicing_3(0, slice(4, None, -2)) ... ok
test_base.TestCSR.test_slicing_3(0, slice(None, 5, -1)) ... ok
test_base.TestCSR.test_slicing_3(0, 0) ... ok
test_base.TestCSR.test_slicing_3(0, 1) ... ok
test_base.TestCSR.test_slicing_3(0, slice(None, None, None)) ... ok
test_base.TestCSR.test_slicing_3(0, slice(1, 5, None)) ... ok
test_base.TestCSR.test_slicing_3(0, -1) ... ok
test_base.TestCSR.test_slicing_3(0, -2) ... ok
test_base.TestCSR.test_slicing_3(0, -5) ... ok
test_base.TestCSR.test_slicing_3(0, array(4)) ... ok
test_base.TestCSR.test_slicing_3(0, -3) ... ok
test_base.TestCSR.test_slicing_3(1, slice(None, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(1, slice(1, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(1, slice(3, None, None)) ... ok
test_base.TestCSR.test_slicing_3(1, slice(3, None, 2)) ... ok
test_base.TestCSR.test_slicing_3(1, slice(8, 3, -1)) ... ok
test_base.TestCSR.test_slicing_3(1, slice(4, None, -2)) ... ok
test_base.TestCSR.test_slicing_3(1, slice(None, 5, -1)) ... ok
test_base.TestCSR.test_slicing_3(1, 0) ... ok
test_base.TestCSR.test_slicing_3(1, 1) ... ok
test_base.TestCSR.test_slicing_3(1, slice(None, None, None)) ... ok
test_base.TestCSR.test_slicing_3(1, slice(1, 5, None)) ... ok
test_base.TestCSR.test_slicing_3(1, -1) ... ok
test_base.TestCSR.test_slicing_3(1, -2) ... ok
test_base.TestCSR.test_slicing_3(1, -5) ... ok
test_base.TestCSR.test_slicing_3(1, array(4)) ... ok
test_base.TestCSR.test_slicing_3(1, -3) ... ok
test_base.TestCSR.test_slicing_3(slice(None, None, None), slice(None, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, None, None), slice(1, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, None, None), slice(3, None, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, None, None), slice(3, None, 2)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, None, None), slice(8, 3, -1)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, None, None), slice(4, None, -2)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, None, None), slice(None, 5, -1)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, None, None), 0) ... ok
test_base.TestCSR.test_slicing_3(slice(None, None, None), 1) ... ok
test_base.TestCSR.test_slicing_3(slice(None, None, None), slice(None, None, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, None, None), slice(1, 5, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, None, None), -1) ... ok
test_base.TestCSR.test_slicing_3(slice(None, None, None), -2) ... ok
test_base.TestCSR.test_slicing_3(slice(None, None, None), -5) ... ok
test_base.TestCSR.test_slicing_3(slice(None, None, None), array(4)) ... ok
test_base.TestCSR.test_slicing_3(slice(None, None, None), -3) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 5, None), slice(None, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 5, None), slice(1, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 5, None), slice(3, None, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 5, None), slice(3, None, 2)) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 5, None), slice(8, 3, -1)) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 5, None), slice(4, None, -2)) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 5, None), slice(None, 5, -1)) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 5, None), 0) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 5, None), 1) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 5, None), slice(None, None, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 5, None), slice(1, 5, None)) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 5, None), -1) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 5, None), -2) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 5, None), -5) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 5, None), array(4)) ... ok
test_base.TestCSR.test_slicing_3(slice(1, 5, None), -3) ... ok
test_base.TestCSR.test_slicing_3(-1, slice(None, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(-1, slice(1, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(-1, slice(3, None, None)) ... ok
test_base.TestCSR.test_slicing_3(-1, slice(3, None, 2)) ... ok
test_base.TestCSR.test_slicing_3(-1, slice(8, 3, -1)) ... ok
test_base.TestCSR.test_slicing_3(-1, slice(4, None, -2)) ... ok
test_base.TestCSR.test_slicing_3(-1, slice(None, 5, -1)) ... ok
test_base.TestCSR.test_slicing_3(-1, 0) ... ok
test_base.TestCSR.test_slicing_3(-1, 1) ... ok
test_base.TestCSR.test_slicing_3(-1, slice(None, None, None)) ... ok
test_base.TestCSR.test_slicing_3(-1, slice(1, 5, None)) ... ok
test_base.TestCSR.test_slicing_3(-1, -1) ... ok
test_base.TestCSR.test_slicing_3(-1, -2) ... ok
test_base.TestCSR.test_slicing_3(-1, -5) ... ok
test_base.TestCSR.test_slicing_3(-1, array(4)) ... ok
test_base.TestCSR.test_slicing_3(-1, -3) ... ok
test_base.TestCSR.test_slicing_3(-2, slice(None, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(-2, slice(1, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(-2, slice(3, None, None)) ... ok
test_base.TestCSR.test_slicing_3(-2, slice(3, None, 2)) ... ok
test_base.TestCSR.test_slicing_3(-2, slice(8, 3, -1)) ... ok
test_base.TestCSR.test_slicing_3(-2, slice(4, None, -2)) ... ok
test_base.TestCSR.test_slicing_3(-2, slice(None, 5, -1)) ... ok
test_base.TestCSR.test_slicing_3(-2, 0) ... ok
test_base.TestCSR.test_slicing_3(-2, 1) ... ok
test_base.TestCSR.test_slicing_3(-2, slice(None, None, None)) ... ok
test_base.TestCSR.test_slicing_3(-2, slice(1, 5, None)) ... ok
test_base.TestCSR.test_slicing_3(-2, -1) ... ok
test_base.TestCSR.test_slicing_3(-2, -2) ... ok
test_base.TestCSR.test_slicing_3(-2, -5) ... ok
test_base.TestCSR.test_slicing_3(-2, array(4)) ... ok
test_base.TestCSR.test_slicing_3(-2, -3) ... ok
test_base.TestCSR.test_slicing_3(-5, slice(None, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(-5, slice(1, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(-5, slice(3, None, None)) ... ok
test_base.TestCSR.test_slicing_3(-5, slice(3, None, 2)) ... ok
test_base.TestCSR.test_slicing_3(-5, slice(8, 3, -1)) ... ok
test_base.TestCSR.test_slicing_3(-5, slice(4, None, -2)) ... ok
test_base.TestCSR.test_slicing_3(-5, slice(None, 5, -1)) ... ok
test_base.TestCSR.test_slicing_3(-5, 0) ... ok
test_base.TestCSR.test_slicing_3(-5, 1) ... ok
test_base.TestCSR.test_slicing_3(-5, slice(None, None, None)) ... ok
test_base.TestCSR.test_slicing_3(-5, slice(1, 5, None)) ... ok
test_base.TestCSR.test_slicing_3(-5, -1) ... ok
test_base.TestCSR.test_slicing_3(-5, -2) ... ok
test_base.TestCSR.test_slicing_3(-5, -5) ... ok
test_base.TestCSR.test_slicing_3(-5, array(4)) ... ok
test_base.TestCSR.test_slicing_3(-5, -3) ... ok
test_base.TestCSR.test_slicing_3(array(4), slice(None, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(array(4), slice(1, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(array(4), slice(3, None, None)) ... ok
test_base.TestCSR.test_slicing_3(array(4), slice(3, None, 2)) ... ok
test_base.TestCSR.test_slicing_3(array(4), slice(8, 3, -1)) ... ok
test_base.TestCSR.test_slicing_3(array(4), slice(4, None, -2)) ... ok
test_base.TestCSR.test_slicing_3(array(4), slice(None, 5, -1)) ... ok
test_base.TestCSR.test_slicing_3(array(4), 0) ... ok
test_base.TestCSR.test_slicing_3(array(4), 1) ... ok
test_base.TestCSR.test_slicing_3(array(4), slice(None, None, None)) ... ok
test_base.TestCSR.test_slicing_3(array(4), slice(1, 5, None)) ... ok
test_base.TestCSR.test_slicing_3(array(4), -1) ... ok
test_base.TestCSR.test_slicing_3(array(4), -2) ... ok
test_base.TestCSR.test_slicing_3(array(4), -5) ... ok
test_base.TestCSR.test_slicing_3(array(4), array(4)) ... ok
test_base.TestCSR.test_slicing_3(array(4), -3) ... ok
test_base.TestCSR.test_slicing_3(-3, slice(None, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(-3, slice(1, 2, None)) ... ok
test_base.TestCSR.test_slicing_3(-3, slice(3, None, None)) ... ok
test_base.TestCSR.test_slicing_3(-3, slice(3, None, 2)) ... ok
test_base.TestCSR.test_slicing_3(-3, slice(8, 3, -1)) ... ok
test_base.TestCSR.test_slicing_3(-3, slice(4, None, -2)) ... ok
test_base.TestCSR.test_slicing_3(-3, slice(None, 5, -1)) ... ok
test_base.TestCSR.test_slicing_3(-3, 0) ... ok
test_base.TestCSR.test_slicing_3(-3, 1) ... ok
test_base.TestCSR.test_slicing_3(-3, slice(None, None, None)) ... ok
test_base.TestCSR.test_slicing_3(-3, slice(1, 5, None)) ... ok
test_base.TestCSR.test_slicing_3(-3, -1) ... ok
test_base.TestCSR.test_slicing_3(-3, -2) ... ok
test_base.TestCSR.test_slicing_3(-3, -5) ... ok
test_base.TestCSR.test_slicing_3(-3, array(4)) ... ok
test_base.TestCSR.test_slicing_3(-3, -3) ... ok
test_base.TestCSR.test_small_multiplication ... ok
test_base.TestCSR.test_solve ... ok
test_base.TestCSR.test_sort_indices ... ok
test_base.TestCSR.test_sparse_format_conversions ... ok
test_base.TestCSR.test_sparsity_modifying_assignment ... ok
test_base.TestCSR.test_str ... ok
test_base.TestCSR.test_sub(<type 'numpy.bool_'>,) ... ok
test_base.TestCSR.test_sub(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_sub(<type 'numpy.float64'>,) ... ok
test_base.TestCSR.test_sub(<type 'numpy.complex128'>,) ... ok
test_base.TestCSR.test_sub_dense(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_sub_dense(<type 'numpy.float64'>,) ... ok
test_base.TestCSR.test_sub_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestCSR.test_sum(<type 'numpy.uint64'>, 0) ... ok
test_base.TestCSR.test_sum(<type 'numpy.uint64'>, 1) ... ok
test_base.TestCSR.test_sum(<type 'numpy.uint64'>, 2) ... ok
test_base.TestCSR.test_sum(<type 'numpy.uint64'>, 3) ... ok
test_base.TestCSR.test_sum(<type 'numpy.uint64'>, 4) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestCSR.test_sum(<type 'numpy.uint8'>, 0) ... ok
test_base.TestCSR.test_sum(<type 'numpy.uint8'>, 1) ... ok
test_base.TestCSR.test_sum(<type 'numpy.uint8'>, 2) ... ok
test_base.TestCSR.test_sum(<type 'numpy.uint8'>, 3) ... ok
test_base.TestCSR.test_sum(<type 'numpy.uint8'>, 4) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int8'>, 0) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int8'>, 1) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int8'>, 2) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int8'>, 3) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int8'>, 4) ... ok
test_base.TestCSR.test_sum(<type 'numpy.bool_'>, 0) ... ok
test_base.TestCSR.test_sum(<type 'numpy.bool_'>, 1) ... ok
test_base.TestCSR.test_sum(<type 'numpy.bool_'>, 2) ... ok
test_base.TestCSR.test_sum(<type 'numpy.bool_'>, 3) ... ok
test_base.TestCSR.test_sum(<type 'numpy.bool_'>, 4) ... ok
test_base.TestCSR.test_sum(<type 'numpy.float32'>, 0) ... ok
test_base.TestCSR.test_sum(<type 'numpy.float32'>, 1) ... ok
test_base.TestCSR.test_sum(<type 'numpy.float32'>, 2) ... ok
test_base.TestCSR.test_sum(<type 'numpy.float32'>, 3) ... ok
test_base.TestCSR.test_sum(<type 'numpy.float32'>, 4) ... ok
test_base.TestCSR.test_sum(<type 'numpy.uint16'>, 0) ... ok
test_base.TestCSR.test_sum(<type 'numpy.uint16'>, 1) ... ok
test_base.TestCSR.test_sum(<type 'numpy.uint16'>, 2) ... ok
test_base.TestCSR.test_sum(<type 'numpy.uint16'>, 3) ... ok
test_base.TestCSR.test_sum(<type 'numpy.uint16'>, 4) ... ok
test_base.TestCSR.test_sum(<type 'numpy.complex64'>, 0) ... ok
test_base.TestCSR.test_sum(<type 'numpy.complex64'>, 1) ... ok
test_base.TestCSR.test_sum(<type 'numpy.complex64'>, 2) ... ok
test_base.TestCSR.test_sum(<type 'numpy.complex64'>, 3) ... ok
test_base.TestCSR.test_sum(<type 'numpy.complex64'>, 4) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int16'>, 0) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int16'>, 1) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int16'>, 2) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int16'>, 3) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int16'>, 4) ... ok
test_base.TestCSR.test_sum(<type 'numpy.float64'>, 0) ... ok
test_base.TestCSR.test_sum(<type 'numpy.float64'>, 1) ... ok
test_base.TestCSR.test_sum(<type 'numpy.float64'>, 2) ... ok
test_base.TestCSR.test_sum(<type 'numpy.float64'>, 3) ... ok
test_base.TestCSR.test_sum(<type 'numpy.float64'>, 4) ... ok
test_base.TestCSR.test_sum(<type 'numpy.complex128'>, 0) ... ok
test_base.TestCSR.test_sum(<type 'numpy.complex128'>, 1) ... ok
test_base.TestCSR.test_sum(<type 'numpy.complex128'>, 2) ... ok
test_base.TestCSR.test_sum(<type 'numpy.complex128'>, 3) ... ok
test_base.TestCSR.test_sum(<type 'numpy.complex128'>, 4) ... ok
test_base.TestCSR.test_sum(<type 'numpy.uint32'>, 0) ... ok
test_base.TestCSR.test_sum(<type 'numpy.uint32'>, 1) ... ok
test_base.TestCSR.test_sum(<type 'numpy.uint32'>, 2) ... ok
test_base.TestCSR.test_sum(<type 'numpy.uint32'>, 3) ... ok
test_base.TestCSR.test_sum(<type 'numpy.uint32'>, 4) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int32'>, 0) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int32'>, 1) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int32'>, 2) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int32'>, 3) ... ok
test_base.TestCSR.test_sum(<type 'numpy.int32'>, 4) ... ok
test_base.TestCSR.test_sum(<type 'numpy.complex256'>, 0) ... ok
test_base.TestCSR.test_sum(<type 'numpy.complex256'>, 1) ... ok
test_base.TestCSR.test_sum(<type 'numpy.complex256'>, 2) ... ok
test_base.TestCSR.test_sum(<type 'numpy.complex256'>, 3) ... ok
test_base.TestCSR.test_sum(<type 'numpy.complex256'>, 4) ... ok
test_base.TestCSR.test_sum(<type 'numpy.float128'>, 0) ... ok
test_base.TestCSR.test_sum(<type 'numpy.float128'>, 1) ... ok
test_base.TestCSR.test_sum(<type 'numpy.float128'>, 2) ... ok
test_base.TestCSR.test_sum(<type 'numpy.float128'>, 3) ... ok
test_base.TestCSR.test_sum(<type 'numpy.float128'>, 4) ... ok
test_base.TestCSR.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_sum_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestCSR.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCSR.test_sum_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestCSR.test_sum_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestCSR.test_sum_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestCSR.test_sum_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestCSR.test_sum_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestCSR.test_sum_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestCSR.test_sum_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestCSR.test_sum_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestCSR.test_sum_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestCSR.test_sum_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestCSR.test_sum_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestCSR.test_sum_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestCSR.test_sum_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestCSR.test_sum_invalid_params ... ok
test_base.TestCSR.test_sum_out ... ok
test_base.TestCSR.test_toarray ... ok
test_base.TestCSR.test_tobsr ... ok
test_base.TestCSR.test_todense ... ok
test_base.TestCSR.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.uint64'>, 0) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.uint64'>, 1) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.uint8'>, 0) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.uint8'>, 1) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.int8'>, 0) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.int8'>, 1) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.bool_'>, 0) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.bool_'>, 1) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.float32'>, 0) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.float32'>, 1) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.uint16'>, 0) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.uint16'>, 1) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.complex64'>, 0) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.complex64'>, 1) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.int16'>, 0) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.int16'>, 1) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.float64'>, 0) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.float64'>, 1) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.complex128'>, 0) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.complex128'>, 1) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.uint32'>, 0) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.uint32'>, 1) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.int32'>, 0) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.int32'>, 1) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.complex256'>, 0) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.complex256'>, 1) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.float128'>, 0) ... ok
test_base.TestCSR.test_transpose(<type 'numpy.float128'>, 1) ... ok
test_base.TestCSR.test_ufunc_object_array ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.TestCSR.test_ufuncs ... ok
test_base.TestCSR.test_unary_ufunc_overrides('sin',) ... ok
test_base.TestCSR.test_unary_ufunc_overrides('tan',) ... ok
test_base.TestCSR.test_unary_ufunc_overrides('arcsin',) ... ok
test_base.TestCSR.test_unary_ufunc_overrides('arctan',) ... ok
test_base.TestCSR.test_unary_ufunc_overrides('sinh',) ... ok
test_base.TestCSR.test_unary_ufunc_overrides('tanh',) ... ok
test_base.TestCSR.test_unary_ufunc_overrides('arcsinh',) ... ok
test_base.TestCSR.test_unary_ufunc_overrides('arctanh',) ... ok
test_base.TestCSR.test_unary_ufunc_overrides('rint',) ... ok
test_base.TestCSR.test_unary_ufunc_overrides('sign',) ... SKIP: sign conflicts with comparison op support on Numpy without __numpy_ufunc__
test_base.TestCSR.test_unary_ufunc_overrides('expm1',) ... ok
test_base.TestCSR.test_unary_ufunc_overrides('log1p',) ... ok
test_base.TestCSR.test_unary_ufunc_overrides('deg2rad',) ... ok
test_base.TestCSR.test_unary_ufunc_overrides('rad2deg',) ... ok
test_base.TestCSR.test_unary_ufunc_overrides('floor',) ... ok
test_base.TestCSR.test_unary_ufunc_overrides('ceil',) ... ok
test_base.TestCSR.test_unary_ufunc_overrides('trunc',) ... ok
test_base.TestCSR.test_unary_ufunc_overrides('sqrt',) ... ok
test_base.TestCSR.test_unary_ufunc_overrides('abs',) ... ok
test_base.TestCSR.test_unsorted_arithmetic ... ok
test_base.TestCSRNonCanonical.test_abs ... ok
test_base.TestCSRNonCanonical.test_add(<type 'numpy.bool_'>,) ... ok
test_base.TestCSRNonCanonical.test_add(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_add(<type 'numpy.float64'>,) ... ok
test_base.TestCSRNonCanonical.test_add(<type 'numpy.complex128'>,) ... ok
test_base.TestCSRNonCanonical.test_add0(<type 'numpy.bool_'>,) ... ok
test_base.TestCSRNonCanonical.test_add0(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_add0(<type 'numpy.float64'>,) ... ok
test_base.TestCSRNonCanonical.test_add0(<type 'numpy.complex128'>,) ... ok
test_base.TestCSRNonCanonical.test_add_dense(<type 'numpy.bool_'>,) ... ok
test_base.TestCSRNonCanonical.test_add_dense(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_add_dense(<type 'numpy.float64'>,) ... ok
test_base.TestCSRNonCanonical.test_add_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestCSRNonCanonical.test_add_sub ... ok
test_base.TestCSRNonCanonical.test_asfptype ... ok
test_base.TestCSRNonCanonical.test_astype ... ok
test_base.TestCSRNonCanonical.test_bad_index ... ok
test_base.TestCSRNonCanonical.test_bad_index_assign ... ok
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_binop_custom_type ... ok
test_base.TestCSRNonCanonical.test_bool ... SKIP: Skipping test: test_bool: bool(matrix) counts explicit zeros
test_base.TestCSRNonCanonical.test_bool_rollover ... ok
test_base.TestCSRNonCanonical.test_constructor1 ... ok
test_base.TestCSRNonCanonical.test_constructor2 ... ok
test_base.TestCSRNonCanonical.test_constructor3 ... ok
test_base.TestCSRNonCanonical.test_constructor4 ... ok
test_base.TestCSRNonCanonical.test_constructor5 ... ok
test_base.TestCSRNonCanonical.test_constructor6 ... ok
test_base.TestCSRNonCanonical.test_copy ... ok
test_base.TestCSRNonCanonical.test_count_nonzero ... ok
test_base.TestCSRNonCanonical.test_diagonal ... ok
test_base.TestCSRNonCanonical.test_dtype_preservation ... ok
test_base.TestCSRNonCanonical.test_elementwise_divide ... ok
test_base.TestCSRNonCanonical.test_elementwise_multiply ... ok
test_base.TestCSRNonCanonical.test_elementwise_multiply_broadcast ... ok
test_base.TestCSRNonCanonical.test_elementwise_power ... ok
test_base.TestCSRNonCanonical.test_eliminate_zeros ... ok
test_base.TestCSRNonCanonical.test_ellipsis_slicing ... ok
test_base.TestCSRNonCanonical.test_empty ... SKIP: Skipping test: test_empty: nnz counts explicit zeros
test_base.TestCSRNonCanonical.test_empty_arithmetic ... ok
test_base.TestCSRNonCanonical.test_eq(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_eq(<type 'numpy.uint64'>,) ... ok
test_base.TestCSRNonCanonical.test_eq(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_eq(<type 'numpy.uint8'>,) ... ok
test_base.TestCSRNonCanonical.test_eq(<type 'numpy.int8'>,) ... ok
test_base.TestCSRNonCanonical.test_eq(<type 'numpy.bool_'>,) ... ok
test_base.TestCSRNonCanonical.test_eq(<type 'numpy.float32'>,) ... ok
test_base.TestCSRNonCanonical.test_eq(<type 'numpy.uint16'>,) ... ok
test_base.TestCSRNonCanonical.test_eq(<type 'numpy.complex64'>,) ... ok
test_base.TestCSRNonCanonical.test_eq(<type 'numpy.int16'>,) ... ok
test_base.TestCSRNonCanonical.test_eq(<type 'numpy.float64'>,) ... ok
test_base.TestCSRNonCanonical.test_eq(<type 'numpy.complex128'>,) ... ok
test_base.TestCSRNonCanonical.test_eq(<type 'numpy.uint32'>,) ... ok
test_base.TestCSRNonCanonical.test_eq(<type 'numpy.int32'>,) ... ok
test_base.TestCSRNonCanonical.test_eq(<type 'numpy.complex256'>,) ... ok
test_base.TestCSRNonCanonical.test_eq(<type 'numpy.float128'>,) ... ok
test_base.TestCSRNonCanonical.test_expm ... ok
test_base.TestCSRNonCanonical.test_fancy_assign_empty ... ok
test_base.TestCSRNonCanonical.test_fancy_assign_list ... ok
test_base.TestCSRNonCanonical.test_fancy_assign_ndarray ... ok
test_base.TestCSRNonCanonical.test_fancy_assign_slice ... ok
test_base.TestCSRNonCanonical.test_fancy_assignment_dtypes(dtype('bool'),) ... ok
test_base.TestCSRNonCanonical.test_fancy_assignment_dtypes(dtype('int8'),) ... ok
test_base.TestCSRNonCanonical.test_fancy_assignment_dtypes(dtype('uint8'),) ... ok
test_base.TestCSRNonCanonical.test_fancy_assignment_dtypes(dtype('int16'),) ... ok
test_base.TestCSRNonCanonical.test_fancy_assignment_dtypes(dtype('uint16'),) ... ok
test_base.TestCSRNonCanonical.test_fancy_assignment_dtypes(dtype('int32'),) ... ok
test_base.TestCSRNonCanonical.test_fancy_assignment_dtypes(dtype('uint32'),) ... ok
test_base.TestCSRNonCanonical.test_fancy_assignment_dtypes(dtype('int64'),) ... ok
test_base.TestCSRNonCanonical.test_fancy_assignment_dtypes(dtype('uint64'),) ... ok
test_base.TestCSRNonCanonical.test_fancy_assignment_dtypes(dtype('float32'),) ... ok
test_base.TestCSRNonCanonical.test_fancy_assignment_dtypes(dtype('float64'),) ... ok
test_base.TestCSRNonCanonical.test_fancy_assignment_dtypes(dtype('float128'),) ... ok
test_base.TestCSRNonCanonical.test_fancy_assignment_dtypes(dtype('complex64'),) ... ok
test_base.TestCSRNonCanonical.test_fancy_assignment_dtypes(dtype('complex128'),) ... ok
test_base.TestCSRNonCanonical.test_fancy_assignment_dtypes(dtype('complex256'),) ... ok
test_base.TestCSRNonCanonical.test_fancy_indexing ... ok
test_base.TestCSRNonCanonical.test_fancy_indexing_boolean ... ok
test_base.TestCSRNonCanonical.test_fancy_indexing_broadcast ... ok
test_base.TestCSRNonCanonical.test_fancy_indexing_empty ... ok
test_base.TestCSRNonCanonical.test_fancy_indexing_multidim_set ... ok
test_base.TestCSRNonCanonical.test_fancy_indexing_ndarray ... ok
test_base.TestCSRNonCanonical.test_fancy_indexing_randomized ... ok
test_base.TestCSRNonCanonical.test_fancy_indexing_regression_3087 ... ok
test_base.TestCSRNonCanonical.test_fancy_indexing_seq_assign ... ok
test_base.TestCSRNonCanonical.test_fancy_indexing_set ... ok
test_base.TestCSRNonCanonical.test_fancy_indexing_sparse_boolean ... ok
test_base.TestCSRNonCanonical.test_from_array ... ok
test_base.TestCSRNonCanonical.test_from_list ... ok
test_base.TestCSRNonCanonical.test_from_matrix ... ok
test_base.TestCSRNonCanonical.test_from_sparse ... ok
test_base.TestCSRNonCanonical.test_ge(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_ge(<type 'numpy.uint64'>,) ... ok
test_base.TestCSRNonCanonical.test_ge(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_ge(<type 'numpy.uint8'>,) ... ok
test_base.TestCSRNonCanonical.test_ge(<type 'numpy.int8'>,) ... ok
test_base.TestCSRNonCanonical.test_ge(<type 'numpy.bool_'>,) ... ok
test_base.TestCSRNonCanonical.test_ge(<type 'numpy.float32'>,) ... ok
test_base.TestCSRNonCanonical.test_ge(<type 'numpy.uint16'>,) ... ok
test_base.TestCSRNonCanonical.test_ge(<type 'numpy.complex64'>,) ... ok
test_base.TestCSRNonCanonical.test_ge(<type 'numpy.int16'>,) ... ok
test_base.TestCSRNonCanonical.test_ge(<type 'numpy.float64'>,) ... ok
test_base.TestCSRNonCanonical.test_ge(<type 'numpy.complex128'>,) ... ok
test_base.TestCSRNonCanonical.test_ge(<type 'numpy.uint32'>,) ... ok
test_base.TestCSRNonCanonical.test_ge(<type 'numpy.int32'>,) ... ok
test_base.TestCSRNonCanonical.test_ge(<type 'numpy.complex256'>,) ... ok
test_base.TestCSRNonCanonical.test_ge(<type 'numpy.float128'>,) ... ok
test_base.TestCSRNonCanonical.test_get_horiz_slice ... ok
test_base.TestCSRNonCanonical.test_get_slices ... ok
test_base.TestCSRNonCanonical.test_get_vert_slice ... ok
test_base.TestCSRNonCanonical.test_getcol ... ok
test_base.TestCSRNonCanonical.test_getelement(dtype('bool'),) ... ok
test_base.TestCSRNonCanonical.test_getelement(dtype('int8'),) ... ok
test_base.TestCSRNonCanonical.test_getelement(dtype('uint8'),) ... ok
test_base.TestCSRNonCanonical.test_getelement(dtype('int16'),) ... ok
test_base.TestCSRNonCanonical.test_getelement(dtype('uint16'),) ... ok
test_base.TestCSRNonCanonical.test_getelement(dtype('int32'),) ... ok
test_base.TestCSRNonCanonical.test_getelement(dtype('uint32'),) ... ok
test_base.TestCSRNonCanonical.test_getelement(dtype('int64'),) ... ok
test_base.TestCSRNonCanonical.test_getelement(dtype('uint64'),) ... ok
test_base.TestCSRNonCanonical.test_getelement(dtype('float32'),) ... ok
test_base.TestCSRNonCanonical.test_getelement(dtype('float64'),) ... ok
test_base.TestCSRNonCanonical.test_getelement(dtype('float128'),) ... ok
test_base.TestCSRNonCanonical.test_getelement(dtype('complex64'),) ... ok
test_base.TestCSRNonCanonical.test_getelement(dtype('complex128'),) ... ok
test_base.TestCSRNonCanonical.test_getelement(dtype('complex256'),) ... ok
test_base.TestCSRNonCanonical.test_getnnz_axis ... SKIP: Skipping test: test_getnnz_axis: getnnz-axis counts explicit zeros
test_base.TestCSRNonCanonical.test_getrow ... ok
test_base.TestCSRNonCanonical.test_gt(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_gt(<type 'numpy.uint64'>,) ... ok
test_base.TestCSRNonCanonical.test_gt(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_gt(<type 'numpy.uint8'>,) ... ok
test_base.TestCSRNonCanonical.test_gt(<type 'numpy.int8'>,) ... ok
test_base.TestCSRNonCanonical.test_gt(<type 'numpy.bool_'>,) ... ok
test_base.TestCSRNonCanonical.test_gt(<type 'numpy.float32'>,) ... ok
test_base.TestCSRNonCanonical.test_gt(<type 'numpy.uint16'>,) ... ok
test_base.TestCSRNonCanonical.test_gt(<type 'numpy.complex64'>,) ... ok
test_base.TestCSRNonCanonical.test_gt(<type 'numpy.int16'>,) ... ok
test_base.TestCSRNonCanonical.test_gt(<type 'numpy.float64'>,) ... ok
test_base.TestCSRNonCanonical.test_gt(<type 'numpy.complex128'>,) ... ok
test_base.TestCSRNonCanonical.test_gt(<type 'numpy.uint32'>,) ... ok
test_base.TestCSRNonCanonical.test_gt(<type 'numpy.int32'>,) ... ok
test_base.TestCSRNonCanonical.test_gt(<type 'numpy.complex256'>,) ... ok
test_base.TestCSRNonCanonical.test_gt(<type 'numpy.float128'>,) ... ok
Ensure has_canonical_format memoizes state for sum_duplicates ... ok
Ensure has_sorted_indices memoizes sorted state for sort_indices ... ok
test_base.TestCSRNonCanonical.test_idiv_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCSRNonCanonical.test_idiv_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCSRNonCanonical.test_imag ... ok
test_base.TestCSRNonCanonical.test_imul_scalar(<type 'numpy.bool_'>,) ... ok
test_base.TestCSRNonCanonical.test_imul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_imul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCSRNonCanonical.test_imul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCSRNonCanonical.test_index_scalar_assign ... ok
test_base.TestCSRNonCanonical.test_inplace_dense ... ok
test_base.TestCSRNonCanonical.test_inplace_success ... ok
test_base.TestCSRNonCanonical.test_inv ... KNOWNFAIL: inverse broken with non-canonical matrix
test_base.TestCSRNonCanonical.test_invalid_shapes ... ok
test_base.TestCSRNonCanonical.test_iterator ... ok
test_base.TestCSRNonCanonical.test_le(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_le(<type 'numpy.uint64'>,) ... ok
test_base.TestCSRNonCanonical.test_le(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_le(<type 'numpy.uint8'>,) ... ok
test_base.TestCSRNonCanonical.test_le(<type 'numpy.int8'>,) ... ok
test_base.TestCSRNonCanonical.test_le(<type 'numpy.bool_'>,) ... ok
test_base.TestCSRNonCanonical.test_le(<type 'numpy.float32'>,) ... ok
test_base.TestCSRNonCanonical.test_le(<type 'numpy.uint16'>,) ... ok
test_base.TestCSRNonCanonical.test_le(<type 'numpy.complex64'>,) ... ok
test_base.TestCSRNonCanonical.test_le(<type 'numpy.int16'>,) ... ok
test_base.TestCSRNonCanonical.test_le(<type 'numpy.float64'>,) ... ok
test_base.TestCSRNonCanonical.test_le(<type 'numpy.complex128'>,) ... ok
test_base.TestCSRNonCanonical.test_le(<type 'numpy.uint32'>,) ... ok
test_base.TestCSRNonCanonical.test_le(<type 'numpy.int32'>,) ... ok
test_base.TestCSRNonCanonical.test_le(<type 'numpy.complex256'>,) ... ok
test_base.TestCSRNonCanonical.test_le(<type 'numpy.float128'>,) ... ok
test_base.TestCSRNonCanonical.test_lt(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_lt(<type 'numpy.uint64'>,) ... ok
test_base.TestCSRNonCanonical.test_lt(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_lt(<type 'numpy.uint8'>,) ... ok
test_base.TestCSRNonCanonical.test_lt(<type 'numpy.int8'>,) ... ok
test_base.TestCSRNonCanonical.test_lt(<type 'numpy.bool_'>,) ... ok
test_base.TestCSRNonCanonical.test_lt(<type 'numpy.float32'>,) ... ok
test_base.TestCSRNonCanonical.test_lt(<type 'numpy.uint16'>,) ... ok
test_base.TestCSRNonCanonical.test_lt(<type 'numpy.complex64'>,) ... ok
test_base.TestCSRNonCanonical.test_lt(<type 'numpy.int16'>,) ... ok
test_base.TestCSRNonCanonical.test_lt(<type 'numpy.float64'>,) ... ok
test_base.TestCSRNonCanonical.test_lt(<type 'numpy.complex128'>,) ... ok
test_base.TestCSRNonCanonical.test_lt(<type 'numpy.uint32'>,) ... ok
test_base.TestCSRNonCanonical.test_lt(<type 'numpy.int32'>,) ... ok
test_base.TestCSRNonCanonical.test_lt(<type 'numpy.complex256'>,) ... ok
test_base.TestCSRNonCanonical.test_lt(<type 'numpy.float128'>,) ... ok
test_base.TestCSRNonCanonical.test_matmat_dense ... ok
test_base.TestCSRNonCanonical.test_matmat_sparse ... ok
test_base.TestCSRNonCanonical.test_matmul ... SKIP: matmul is only tested in Python 3.5+
test_base.TestCSRNonCanonical.test_matvec ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('bool'), dtype('int8'), 'scalar') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('bool'), dtype('int8'), 'scalar2') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('bool'), dtype('int8'), 'dense') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('bool'), dtype('int8'), 'sparse') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('bool'), dtype('float64'), 'scalar') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('bool'), dtype('float64'), 'scalar2') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('bool'), dtype('float64'), 'dense') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('bool'), dtype('float64'), 'sparse') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('bool'), dtype('complex128'), 'scalar') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('bool'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('bool'), dtype('complex128'), 'dense') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('bool'), dtype('complex128'), 'sparse') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar2') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('int8'), 'dense') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('int8'), 'sparse') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar2') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('float64'), 'dense') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('float64'), 'sparse') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'dense') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'sparse') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar2') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('int8'), 'dense') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('int8'), 'sparse') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar2') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('float64'), 'dense') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('float64'), 'sparse') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'dense') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'sparse') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar2') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'dense') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'sparse') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar2') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'dense') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'sparse') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar2') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'dense') ... ok
test_base.TestCSRNonCanonical.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'sparse') ... ok
test_base.TestCSRNonCanonical.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_mean(<type 'numpy.uint64'>,) ... ok
test_base.TestCSRNonCanonical.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_mean(<type 'numpy.uint8'>,) ... ok
test_base.TestCSRNonCanonical.test_mean(<type 'numpy.int8'>,) ... ok
test_base.TestCSRNonCanonical.test_mean(<type 'numpy.bool_'>,) ... ok
test_base.TestCSRNonCanonical.test_mean(<type 'numpy.float32'>,) ... ok
test_base.TestCSRNonCanonical.test_mean(<type 'numpy.uint16'>,) ... ok
test_base.TestCSRNonCanonical.test_mean(<type 'numpy.complex64'>,) ... ok
test_base.TestCSRNonCanonical.test_mean(<type 'numpy.int16'>,) ... ok
test_base.TestCSRNonCanonical.test_mean(<type 'numpy.float64'>,) ... ok
test_base.TestCSRNonCanonical.test_mean(<type 'numpy.complex128'>,) ... ok
test_base.TestCSRNonCanonical.test_mean(<type 'numpy.uint32'>,) ... ok
test_base.TestCSRNonCanonical.test_mean(<type 'numpy.int32'>,) ... ok
test_base.TestCSRNonCanonical.test_mean(<type 'numpy.complex256'>,) ... ok
test_base.TestCSRNonCanonical.test_mean(<type 'numpy.float128'>,) ... ok
test_base.TestCSRNonCanonical.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_mean_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestCSRNonCanonical.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_mean_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestCSRNonCanonical.test_mean_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestCSRNonCanonical.test_mean_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestCSRNonCanonical.test_mean_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestCSRNonCanonical.test_mean_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestCSRNonCanonical.test_mean_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestCSRNonCanonical.test_mean_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestCSRNonCanonical.test_mean_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestCSRNonCanonical.test_mean_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestCSRNonCanonical.test_mean_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestCSRNonCanonical.test_mean_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestCSRNonCanonical.test_mean_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestCSRNonCanonical.test_mean_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestCSRNonCanonical.test_mean_invalid_params ... ok
test_base.TestCSRNonCanonical.test_mean_out ... ok
test_base.TestCSRNonCanonical.test_minmax ... ok
test_base.TestCSRNonCanonical.test_minmax_axis ... ok
test_base.TestCSRNonCanonical.test_minmax_invalid_params ... ok
test_base.TestCSRNonCanonical.test_mu ... ok
test_base.TestCSRNonCanonical.test_mul_scalar(<type 'numpy.bool_'>,) ... ok
test_base.TestCSRNonCanonical.test_mul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_mul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCSRNonCanonical.test_mul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCSRNonCanonical.test_multiple_ellipsis_slicing ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.TestCSRNonCanonical.test_ne(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_ne(<type 'numpy.uint64'>,) ... ok
test_base.TestCSRNonCanonical.test_ne(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_ne(<type 'numpy.uint8'>,) ... ok
test_base.TestCSRNonCanonical.test_ne(<type 'numpy.int8'>,) ... ok
test_base.TestCSRNonCanonical.test_ne(<type 'numpy.bool_'>,) ... ok
test_base.TestCSRNonCanonical.test_ne(<type 'numpy.float32'>,) ... ok
test_base.TestCSRNonCanonical.test_ne(<type 'numpy.uint16'>,) ... ok
test_base.TestCSRNonCanonical.test_ne(<type 'numpy.complex64'>,) ... ok
test_base.TestCSRNonCanonical.test_ne(<type 'numpy.int16'>,) ... ok
test_base.TestCSRNonCanonical.test_ne(<type 'numpy.float64'>,) ... ok
test_base.TestCSRNonCanonical.test_ne(<type 'numpy.complex128'>,) ... ok
test_base.TestCSRNonCanonical.test_ne(<type 'numpy.uint32'>,) ... ok
test_base.TestCSRNonCanonical.test_ne(<type 'numpy.int32'>,) ... ok
test_base.TestCSRNonCanonical.test_ne(<type 'numpy.complex256'>,) ... ok
test_base.TestCSRNonCanonical.test_ne(<type 'numpy.float128'>,) ... ok
test_base.TestCSRNonCanonical.test_neg ... ok
test_base.TestCSRNonCanonical.test_negative_index_assignment(dtype('bool'),) ... ok
test_base.TestCSRNonCanonical.test_negative_index_assignment(dtype('int64'),) ... ok
test_base.TestCSRNonCanonical.test_negative_index_assignment(dtype('float64'),) ... ok
test_base.TestCSRNonCanonical.test_negative_index_assignment(dtype('complex128'),) ... ok
test_base.TestCSRNonCanonical.test_non_unit_stride_2d_indexing ... ok
test_base.TestCSRNonCanonical.test_nonzero ... ok
test_base.TestCSRNonCanonical.test_numpy_mean ... ok
test_base.TestCSRNonCanonical.test_numpy_minmax ... ok
test_base.TestCSRNonCanonical.test_numpy_nonzero ... ok
test_base.TestCSRNonCanonical.test_numpy_sum ... ok
test_base.TestCSRNonCanonical.test_pow ... ok
test_base.TestCSRNonCanonical.test_radd(<type 'numpy.bool_'>,) ... ok
test_base.TestCSRNonCanonical.test_radd(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_radd(<type 'numpy.float64'>,) ... ok
test_base.TestCSRNonCanonical.test_radd(<type 'numpy.complex128'>,) ... ok
test_base.TestCSRNonCanonical.test_real ... ok
test_base.TestCSRNonCanonical.test_repr ... ok
test_base.TestCSRNonCanonical.test_rmatvec ... ok
test_base.TestCSRNonCanonical.test_rmul_scalar(<type 'numpy.bool_'>,) ... ok
test_base.TestCSRNonCanonical.test_rmul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_rmul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestCSRNonCanonical.test_rmul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestCSRNonCanonical.test_rsub(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_rsub(<type 'numpy.float64'>,) ... ok
test_base.TestCSRNonCanonical.test_rsub(<type 'numpy.complex128'>,) ... ok
test_base.TestCSRNonCanonical.test_scalar_assign_2 ... ok
test_base.TestCSRNonCanonical.test_scalar_idx_dtype ... ok
test_base.TestCSRNonCanonical.test_self_self_assignment ... ok
test_base.TestCSRNonCanonical.test_sequence_assignment ... ok
test_base.TestCSRNonCanonical.test_set_slice ... ok
test_base.TestCSRNonCanonical.test_setdiag ... ok
test_base.TestCSRNonCanonical.test_setelement(dtype('bool'),) ... ok
test_base.TestCSRNonCanonical.test_setelement(dtype('int8'),) ... ok
test_base.TestCSRNonCanonical.test_setelement(dtype('uint8'),) ... ok
test_base.TestCSRNonCanonical.test_setelement(dtype('int16'),) ... ok
test_base.TestCSRNonCanonical.test_setelement(dtype('uint16'),) ... ok
test_base.TestCSRNonCanonical.test_setelement(dtype('int32'),) ... ok
test_base.TestCSRNonCanonical.test_setelement(dtype('uint32'),) ... ok
test_base.TestCSRNonCanonical.test_setelement(dtype('int64'),) ... ok
test_base.TestCSRNonCanonical.test_setelement(dtype('uint64'),) ... ok
test_base.TestCSRNonCanonical.test_setelement(dtype('float32'),) ... ok
test_base.TestCSRNonCanonical.test_setelement(dtype('float64'),) ... ok
test_base.TestCSRNonCanonical.test_setelement(dtype('float128'),) ... ok
test_base.TestCSRNonCanonical.test_setelement(dtype('complex64'),) ... ok
test_base.TestCSRNonCanonical.test_setelement(dtype('complex128'),) ... ok
test_base.TestCSRNonCanonical.test_setelement(dtype('complex256'),) ... ok
test_base.TestCSRNonCanonical.test_size_zero_conversions ... ok
test_base.TestCSRNonCanonical.test_size_zero_matrix_arithmetic ... ok
test_base.TestCSRNonCanonical.test_slice_assign_2 ... ok
test_base.TestCSRNonCanonical.test_slice_assignment ... ok
test_base.TestCSRNonCanonical.test_slice_scalar_assign ... ok
test_base.TestCSRNonCanonical.test_slicing_2 ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 2, None),) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 2, None),) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, None),) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, 2),) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(8, 3, -1),) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(4, None, -2),) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 5, -1),) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(0,) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(1,) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, None, None),) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 5, None),) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-1,) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-2,) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-5,) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(array(-1),) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-3,) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 2, None), slice(None, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 2, None), slice(1, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 2, None), slice(3, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 2, None), slice(3, None, 2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 2, None), slice(8, 3, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 2, None), slice(4, None, -2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 2, None), slice(None, 5, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 2, None), 0) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 2, None), 1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 2, None), slice(None, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 2, None), slice(1, 5, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 2, None), -1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 2, None), -2) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 2, None), -5) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 2, None), array(4)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 2, None), -3) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 2, None), slice(None, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 2, None), slice(1, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 2, None), slice(3, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 2, None), slice(3, None, 2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 2, None), slice(8, 3, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 2, None), slice(4, None, -2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 2, None), slice(None, 5, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 2, None), 0) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 2, None), 1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 2, None), slice(None, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 2, None), slice(1, 5, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 2, None), -1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 2, None), -2) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 2, None), -5) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 2, None), array(4)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 2, None), -3) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, None), slice(None, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, None), slice(1, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, None), slice(3, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, None), slice(3, None, 2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, None), slice(8, 3, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, None), slice(4, None, -2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, None), slice(None, 5, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, None), 0) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, None), 1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, None), slice(None, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, None), slice(1, 5, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, None), -1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, None), -2) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, None), -5) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, None), array(4)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, None), -3) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, 2), slice(None, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, 2), slice(1, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, 2), slice(3, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, 2), slice(3, None, 2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, 2), slice(8, 3, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, 2), slice(4, None, -2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, 2), slice(None, 5, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, 2), 0) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, 2), 1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, 2), slice(None, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, 2), slice(1, 5, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, 2), -1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, 2), -2) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, 2), -5) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, 2), array(4)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(3, None, 2), -3) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(8, 3, -1), slice(None, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(8, 3, -1), slice(1, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(8, 3, -1), slice(3, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(8, 3, -1), slice(3, None, 2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(8, 3, -1), slice(8, 3, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(8, 3, -1), slice(4, None, -2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(8, 3, -1), slice(None, 5, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(8, 3, -1), 0) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(8, 3, -1), 1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(8, 3, -1), slice(None, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(8, 3, -1), slice(1, 5, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(8, 3, -1), -1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(8, 3, -1), -2) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(8, 3, -1), -5) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(8, 3, -1), array(4)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(8, 3, -1), -3) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(4, None, -2), slice(None, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(4, None, -2), slice(1, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(4, None, -2), slice(3, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(4, None, -2), slice(3, None, 2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(4, None, -2), slice(8, 3, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(4, None, -2), slice(4, None, -2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(4, None, -2), slice(None, 5, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(4, None, -2), 0) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(4, None, -2), 1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(4, None, -2), slice(None, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(4, None, -2), slice(1, 5, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(4, None, -2), -1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(4, None, -2), -2) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(4, None, -2), -5) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(4, None, -2), array(4)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(4, None, -2), -3) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 5, -1), slice(None, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 5, -1), slice(1, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 5, -1), slice(3, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 5, -1), slice(3, None, 2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 5, -1), slice(8, 3, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 5, -1), slice(4, None, -2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 5, -1), slice(None, 5, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 5, -1), 0) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 5, -1), 1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 5, -1), slice(None, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 5, -1), slice(1, 5, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 5, -1), -1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 5, -1), -2) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 5, -1), -5) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 5, -1), array(4)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, 5, -1), -3) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(0, slice(None, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(0, slice(1, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(0, slice(3, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(0, slice(3, None, 2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(0, slice(8, 3, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(0, slice(4, None, -2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(0, slice(None, 5, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(0, 0) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(0, 1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(0, slice(None, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(0, slice(1, 5, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(0, -1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(0, -2) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(0, -5) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(0, array(4)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(0, -3) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(1, slice(None, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(1, slice(1, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(1, slice(3, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(1, slice(3, None, 2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(1, slice(8, 3, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(1, slice(4, None, -2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(1, slice(None, 5, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(1, 0) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(1, 1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(1, slice(None, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(1, slice(1, 5, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(1, -1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(1, -2) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(1, -5) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(1, array(4)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(1, -3) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, None, None), slice(None, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, None, None), slice(1, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, None, None), slice(3, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, None, None), slice(3, None, 2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, None, None), slice(8, 3, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, None, None), slice(4, None, -2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, None, None), slice(None, 5, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, None, None), 0) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, None, None), 1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, None, None), slice(None, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, None, None), slice(1, 5, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, None, None), -1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, None, None), -2) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, None, None), -5) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, None, None), array(4)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(None, None, None), -3) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 5, None), slice(None, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 5, None), slice(1, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 5, None), slice(3, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 5, None), slice(3, None, 2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 5, None), slice(8, 3, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 5, None), slice(4, None, -2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 5, None), slice(None, 5, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 5, None), 0) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 5, None), 1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 5, None), slice(None, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 5, None), slice(1, 5, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 5, None), -1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 5, None), -2) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 5, None), -5) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 5, None), array(4)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(slice(1, 5, None), -3) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-1, slice(None, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-1, slice(1, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-1, slice(3, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-1, slice(3, None, 2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-1, slice(8, 3, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-1, slice(4, None, -2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-1, slice(None, 5, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-1, 0) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-1, 1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-1, slice(None, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-1, slice(1, 5, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-1, -1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-1, -2) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-1, -5) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-1, array(4)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-1, -3) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-2, slice(None, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-2, slice(1, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-2, slice(3, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-2, slice(3, None, 2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-2, slice(8, 3, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-2, slice(4, None, -2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-2, slice(None, 5, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-2, 0) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-2, 1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-2, slice(None, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-2, slice(1, 5, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-2, -1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-2, -2) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-2, -5) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-2, array(4)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-2, -3) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-5, slice(None, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-5, slice(1, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-5, slice(3, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-5, slice(3, None, 2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-5, slice(8, 3, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-5, slice(4, None, -2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-5, slice(None, 5, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-5, 0) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-5, 1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-5, slice(None, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-5, slice(1, 5, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-5, -1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-5, -2) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-5, -5) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-5, array(4)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-5, -3) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(array(4), slice(None, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(array(4), slice(1, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(array(4), slice(3, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(array(4), slice(3, None, 2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(array(4), slice(8, 3, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(array(4), slice(4, None, -2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(array(4), slice(None, 5, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(array(4), 0) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(array(4), 1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(array(4), slice(None, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(array(4), slice(1, 5, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(array(4), -1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(array(4), -2) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(array(4), -5) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(array(4), array(4)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(array(4), -3) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-3, slice(None, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-3, slice(1, 2, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-3, slice(3, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-3, slice(3, None, 2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-3, slice(8, 3, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-3, slice(4, None, -2)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-3, slice(None, 5, -1)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-3, 0) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-3, 1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-3, slice(None, None, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-3, slice(1, 5, None)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-3, -1) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-3, -2) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-3, -5) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-3, array(4)) ... ok
test_base.TestCSRNonCanonical.test_slicing_3(-3, -3) ... ok
test_base.TestCSRNonCanonical.test_small_multiplication ... ok
test_base.TestCSRNonCanonical.test_solve ... KNOWNFAIL: solve broken with non-canonical matrix
test_base.TestCSRNonCanonical.test_sort_indices ... ok
test_base.TestCSRNonCanonical.test_sparse_format_conversions ... ok
test_base.TestCSRNonCanonical.test_sparsity_modifying_assignment ... ok
test_base.TestCSRNonCanonical.test_str ... ok
test_base.TestCSRNonCanonical.test_sub(<type 'numpy.bool_'>,) ... ok
test_base.TestCSRNonCanonical.test_sub(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_sub(<type 'numpy.float64'>,) ... ok
test_base.TestCSRNonCanonical.test_sub(<type 'numpy.complex128'>,) ... ok
test_base.TestCSRNonCanonical.test_sub_dense(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_sub_dense(<type 'numpy.float64'>,) ... ok
test_base.TestCSRNonCanonical.test_sub_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.uint64'>, 0) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.uint64'>, 1) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.uint64'>, 2) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.uint64'>, 3) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.uint64'>, 4) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.uint8'>, 0) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.uint8'>, 1) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.uint8'>, 2) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.uint8'>, 3) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.uint8'>, 4) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int8'>, 0) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int8'>, 1) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int8'>, 2) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int8'>, 3) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int8'>, 4) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.bool_'>, 0) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.bool_'>, 1) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.bool_'>, 2) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.bool_'>, 3) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.bool_'>, 4) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.float32'>, 0) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.float32'>, 1) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.float32'>, 2) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.float32'>, 3) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.float32'>, 4) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.uint16'>, 0) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.uint16'>, 1) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.uint16'>, 2) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.uint16'>, 3) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.uint16'>, 4) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.complex64'>, 0) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.complex64'>, 1) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.complex64'>, 2) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.complex64'>, 3) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.complex64'>, 4) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int16'>, 0) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int16'>, 1) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int16'>, 2) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int16'>, 3) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int16'>, 4) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.float64'>, 0) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.float64'>, 1) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.float64'>, 2) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.float64'>, 3) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.float64'>, 4) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.complex128'>, 0) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.complex128'>, 1) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.complex128'>, 2) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.complex128'>, 3) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.complex128'>, 4) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.uint32'>, 0) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.uint32'>, 1) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.uint32'>, 2) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.uint32'>, 3) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.uint32'>, 4) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int32'>, 0) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int32'>, 1) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int32'>, 2) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int32'>, 3) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.int32'>, 4) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.complex256'>, 0) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.complex256'>, 1) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.complex256'>, 2) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.complex256'>, 3) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.complex256'>, 4) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.float128'>, 0) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.float128'>, 1) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.float128'>, 2) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.float128'>, 3) ... ok
test_base.TestCSRNonCanonical.test_sum(<type 'numpy.float128'>, 4) ... ok
test_base.TestCSRNonCanonical.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_sum_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestCSRNonCanonical.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestCSRNonCanonical.test_sum_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestCSRNonCanonical.test_sum_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestCSRNonCanonical.test_sum_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestCSRNonCanonical.test_sum_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestCSRNonCanonical.test_sum_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestCSRNonCanonical.test_sum_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestCSRNonCanonical.test_sum_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestCSRNonCanonical.test_sum_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestCSRNonCanonical.test_sum_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestCSRNonCanonical.test_sum_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestCSRNonCanonical.test_sum_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestCSRNonCanonical.test_sum_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestCSRNonCanonical.test_sum_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestCSRNonCanonical.test_sum_invalid_params ... ok
test_base.TestCSRNonCanonical.test_sum_out ... ok
test_base.TestCSRNonCanonical.test_toarray ... ok
test_base.TestCSRNonCanonical.test_tobsr ... ok
test_base.TestCSRNonCanonical.test_todense ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.uint64'>, 0) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.uint64'>, 1) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.uint8'>, 0) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.uint8'>, 1) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.int8'>, 0) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.int8'>, 1) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.bool_'>, 0) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.bool_'>, 1) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.float32'>, 0) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.float32'>, 1) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.uint16'>, 0) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.uint16'>, 1) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.complex64'>, 0) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.complex64'>, 1) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.int16'>, 0) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.int16'>, 1) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.float64'>, 0) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.float64'>, 1) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.complex128'>, 0) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.complex128'>, 1) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.uint32'>, 0) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.uint32'>, 1) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.int32'>, 0) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.int32'>, 1) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.complex256'>, 0) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.complex256'>, 1) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.float128'>, 0) ... ok
test_base.TestCSRNonCanonical.test_transpose(<type 'numpy.float128'>, 1) ... ok
test_base.TestCSRNonCanonical.test_ufunc_object_array ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.TestCSRNonCanonical.test_ufuncs ... ok
test_base.TestCSRNonCanonical.test_unary_ufunc_overrides ... KNOWNFAIL: unary ufunc overrides broken with non-canonical matrix
test_base.TestCSRNonCanonical.test_unsorted_arithmetic ... ok
test_base.TestDIA.test_abs ... ok
test_base.TestDIA.test_add(<type 'numpy.int64'>,) ... ok
test_base.TestDIA.test_add(<type 'numpy.float64'>,) ... ok
test_base.TestDIA.test_add(<type 'numpy.complex128'>,) ... ok
test_base.TestDIA.test_add0(<type 'numpy.int64'>,) ... ok
test_base.TestDIA.test_add0(<type 'numpy.float64'>,) ... ok
test_base.TestDIA.test_add0(<type 'numpy.complex128'>,) ... ok
test_base.TestDIA.test_add_dense(<type 'numpy.int64'>,) ... ok
test_base.TestDIA.test_add_dense(<type 'numpy.float64'>,) ... ok
test_base.TestDIA.test_add_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestDIA.test_add_sub ... ok
test_base.TestDIA.test_asfptype ... ok
test_base.TestDIA.test_astype ... ok
test_base.TestDIA.test_bad_index ... SKIP: feature not implemented
test_base.TestDIA.test_bad_index_assign ... SKIP: feature not implemented
test_base.TestDIA.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_binop_custom_type ... ok
test_base.TestDIA.test_bool(<type 'numpy.int64'>,) ... ok
test_base.TestDIA.test_bool(<type 'numpy.uint64'>,) ... ok
test_base.TestDIA.test_bool(<type 'numpy.int64'>,) ... ok
test_base.TestDIA.test_bool(<type 'numpy.uint8'>,) ... ok
test_base.TestDIA.test_bool(<type 'numpy.int8'>,) ... ok
test_base.TestDIA.test_bool(<type 'numpy.bool_'>,) ... ok
test_base.TestDIA.test_bool(<type 'numpy.float32'>,) ... ok
test_base.TestDIA.test_bool(<type 'numpy.uint16'>,) ... ok
test_base.TestDIA.test_bool(<type 'numpy.complex64'>,) ... ok
test_base.TestDIA.test_bool(<type 'numpy.int16'>,) ... ok
test_base.TestDIA.test_bool(<type 'numpy.float64'>,) ... ok
test_base.TestDIA.test_bool(<type 'numpy.complex128'>,) ... ok
test_base.TestDIA.test_bool(<type 'numpy.uint32'>,) ... ok
test_base.TestDIA.test_bool(<type 'numpy.int32'>,) ... ok
test_base.TestDIA.test_bool(<type 'numpy.complex256'>,) ... ok
test_base.TestDIA.test_bool(<type 'numpy.float128'>,) ... ok
test_base.TestDIA.test_bool_rollover ... ok
test_base.TestDIA.test_constructor1 ... ok
test_base.TestDIA.test_copy ... ok
test_base.TestDIA.test_count_nonzero ... ok
test_base.TestDIA.test_diagonal ... ok
test_base.TestDIA.test_dtype_preservation ... SKIP: feature not implemented
test_base.TestDIA.test_elementwise_divide ... ok
test_base.TestDIA.test_elementwise_multiply ... ok
test_base.TestDIA.test_elementwise_multiply_broadcast ... ok
test_base.TestDIA.test_elementwise_power ... ok
test_base.TestDIA.test_ellipsis_slicing ... SKIP: feature not implemented
test_base.TestDIA.test_empty ... ok
test_base.TestDIA.test_empty_arithmetic ... ok
test_base.TestDIA.test_eq(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_eq(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_eq(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_eq(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_eq(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_eq(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_eq(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_eq(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_eq(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_eq(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_eq(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_eq(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_eq(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_eq(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_eq(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_eq(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_expm ... ok
test_base.TestDIA.test_fancy_assign_empty ... SKIP: feature not implemented
test_base.TestDIA.test_fancy_assign_list ... SKIP: feature not implemented
test_base.TestDIA.test_fancy_assign_ndarray ... SKIP: feature not implemented
test_base.TestDIA.test_fancy_assign_slice ... SKIP: feature not implemented
test_base.TestDIA.test_fancy_assignment_dtypes ... ok
test_base.TestDIA.test_fancy_indexing ... SKIP: feature not implemented
test_base.TestDIA.test_fancy_indexing_boolean ... SKIP: feature not implemented
test_base.TestDIA.test_fancy_indexing_empty ... SKIP: feature not implemented
test_base.TestDIA.test_fancy_indexing_multidim_set ... SKIP: feature not implemented
test_base.TestDIA.test_fancy_indexing_ndarray ... SKIP: feature not implemented
test_base.TestDIA.test_fancy_indexing_randomized ... SKIP: feature not implemented
test_base.TestDIA.test_fancy_indexing_regression_3087 ... SKIP: feature not implemented
test_base.TestDIA.test_fancy_indexing_seq_assign ... SKIP: feature not implemented
test_base.TestDIA.test_fancy_indexing_set ... SKIP: feature not implemented
test_base.TestDIA.test_fancy_indexing_sparse_boolean ... SKIP: feature not implemented
test_base.TestDIA.test_from_array ... ok
test_base.TestDIA.test_from_list ... ok
test_base.TestDIA.test_from_matrix ... ok
test_base.TestDIA.test_from_sparse ... ok
test_base.TestDIA.test_ge(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ge(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ge(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ge(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ge(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ge(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ge(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ge(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ge(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ge(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ge(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ge(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ge(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ge(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ge(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ge(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_get_horiz_slice ... SKIP: feature not implemented
test_base.TestDIA.test_get_slices ... SKIP: feature not implemented
test_base.TestDIA.test_get_vert_slice ... SKIP: feature not implemented
test_base.TestDIA.test_getcol ... ok
test_base.TestDIA.test_getelement ... ok
test_base.TestDIA.test_getnnz_axis ... SKIP: Skipping test: test_getnnz_axis: DIA stores extra zeros
test_base.TestDIA.test_getrow ... ok
test_base.TestDIA.test_gt(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_gt(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_gt(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_gt(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_gt(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_gt(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_gt(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_gt(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_gt(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_gt(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_gt(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_gt(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_gt(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_gt(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_gt(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_gt(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_idiv_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestDIA.test_idiv_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestDIA.test_imag ... ok
test_base.TestDIA.test_imul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestDIA.test_imul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestDIA.test_imul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestDIA.test_index_scalar_assign ... SKIP: feature not implemented
test_base.TestDIA.test_inplace_dense ... ok
test_base.TestDIA.test_inplace_success ... ok
test_base.TestDIA.test_inv(<type 'float'>,) ... ok
test_base.TestDIA.test_invalid_shapes ... ok
test_base.TestDIA.test_iterator ... KNOWNFAIL: DIA does not have a __getitem__
test_base.TestDIA.test_le(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_le(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_le(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_le(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_le(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_le(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_le(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_le(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_le(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_le(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_le(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_le(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_le(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_le(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_le(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_le(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_lt(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_lt(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_lt(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_lt(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_lt(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_lt(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_lt(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_lt(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_lt(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_lt(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_lt(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_lt(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_lt(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_lt(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_lt(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_lt(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_matmat_dense ... ok
test_base.TestDIA.test_matmat_sparse ... ok
test_base.TestDIA.test_matmul ... SKIP: matmul is only tested in Python 3.5+
test_base.TestDIA.test_matvec ... ok
test_base.TestDIA.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar2') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('int64'), dtype('int8'), 'dense') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('int64'), dtype('int8'), 'sparse') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar2') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('int64'), dtype('float64'), 'dense') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('int64'), dtype('float64'), 'sparse') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'dense') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'sparse') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar2') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('float64'), dtype('int8'), 'dense') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('float64'), dtype('int8'), 'sparse') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar2') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('float64'), dtype('float64'), 'dense') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('float64'), dtype('float64'), 'sparse') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'dense') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'sparse') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar2') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'dense') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'sparse') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar2') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'dense') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'sparse') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar2') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'dense') ... ok
test_base.TestDIA.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'sparse') ... ok
test_base.TestDIA.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestDIA.test_mean(<type 'numpy.uint64'>,) ... ok
test_base.TestDIA.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestDIA.test_mean(<type 'numpy.uint8'>,) ... ok
test_base.TestDIA.test_mean(<type 'numpy.int8'>,) ... ok
test_base.TestDIA.test_mean(<type 'numpy.bool_'>,) ... ok
test_base.TestDIA.test_mean(<type 'numpy.float32'>,) ... ok
test_base.TestDIA.test_mean(<type 'numpy.uint16'>,) ... ok
test_base.TestDIA.test_mean(<type 'numpy.complex64'>,) ... ok
test_base.TestDIA.test_mean(<type 'numpy.int16'>,) ... ok
test_base.TestDIA.test_mean(<type 'numpy.float64'>,) ... ok
test_base.TestDIA.test_mean(<type 'numpy.complex128'>,) ... ok
test_base.TestDIA.test_mean(<type 'numpy.uint32'>,) ... ok
test_base.TestDIA.test_mean(<type 'numpy.int32'>,) ... ok
test_base.TestDIA.test_mean(<type 'numpy.complex256'>,) ... ok
test_base.TestDIA.test_mean(<type 'numpy.float128'>,) ... ok
test_base.TestDIA.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestDIA.test_mean_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestDIA.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestDIA.test_mean_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestDIA.test_mean_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestDIA.test_mean_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestDIA.test_mean_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestDIA.test_mean_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestDIA.test_mean_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestDIA.test_mean_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestDIA.test_mean_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestDIA.test_mean_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestDIA.test_mean_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestDIA.test_mean_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestDIA.test_mean_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestDIA.test_mean_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestDIA.test_mean_invalid_params ... ok
test_base.TestDIA.test_mean_out ... ok
test_base.TestDIA.test_minmax ... SKIP: feature not implemented
test_base.TestDIA.test_minmax_axis ... SKIP: feature not implemented
test_base.TestDIA.test_minmax_invalid_params ... SKIP: feature not implemented
test_base.TestDIA.test_mu ... ok
test_base.TestDIA.test_mul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestDIA.test_mul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestDIA.test_mul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestDIA.test_multiple_ellipsis_slicing ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.TestDIA.test_ne(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ne(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ne(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ne(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ne(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ne(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ne(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ne(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ne(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ne(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ne(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ne(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ne(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ne(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ne(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_ne(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDIA.test_neg ... ok
test_base.TestDIA.test_negative_index_assignment ... ok
test_base.TestDIA.test_non_unit_stride_2d_indexing ... SKIP: feature not implemented
test_base.TestDIA.test_nonzero ... ok
test_base.TestDIA.test_numpy_mean ... ok
test_base.TestDIA.test_numpy_minmax ... ok
test_base.TestDIA.test_numpy_nonzero ... ok
test_base.TestDIA.test_numpy_sum ... ok
test_base.TestDIA.test_pow ... ok
test_base.TestDIA.test_radd(<type 'numpy.int64'>,) ... ok
test_base.TestDIA.test_radd(<type 'numpy.float64'>,) ... ok
test_base.TestDIA.test_radd(<type 'numpy.complex128'>,) ... ok
test_base.TestDIA.test_real ... ok
test_base.TestDIA.test_repr ... ok
test_base.TestDIA.test_rmatvec ... ok
test_base.TestDIA.test_rmul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestDIA.test_rmul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestDIA.test_rmul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestDIA.test_rsub(<type 'numpy.int64'>,) ... ok
test_base.TestDIA.test_rsub(<type 'numpy.float64'>,) ... ok
test_base.TestDIA.test_rsub(<type 'numpy.complex128'>,) ... ok
test_base.TestDIA.test_scalar_assign_2 ... SKIP: feature not implemented
test_base.TestDIA.test_self_self_assignment ... SKIP: feature not implemented
test_base.TestDIA.test_sequence_assignment ... SKIP: feature not implemented
test_base.TestDIA.test_set_slice ... SKIP: feature not implemented
test_base.TestDIA.test_setdiag ... ok
test_base.TestDIA.test_setdiag_dtype ... ok
test_base.TestDIA.test_setelement ... ok
test_base.TestDIA.test_size_zero_conversions ... ok
test_base.TestDIA.test_size_zero_matrix_arithmetic ... ok
test_base.TestDIA.test_slice_assign_2 ... SKIP: feature not implemented
test_base.TestDIA.test_slice_assignment ... SKIP: feature not implemented
test_base.TestDIA.test_slice_scalar_assign ... SKIP: feature not implemented
test_base.TestDIA.test_slicing_2 ... SKIP: feature not implemented
test_base.TestDIA.test_slicing_3 ... ok
test_base.TestDIA.test_small_multiplication ... ok
test_base.TestDIA.test_solve ... ok
test_base.TestDIA.test_sparse_format_conversions ... ok
test_base.TestDIA.test_sparsity_modifying_assignment ... SKIP: feature not implemented
test_base.TestDIA.test_str ... ok
test_base.TestDIA.test_sub(<type 'numpy.int64'>,) ... ok
test_base.TestDIA.test_sub(<type 'numpy.float64'>,) ... ok
test_base.TestDIA.test_sub(<type 'numpy.complex128'>,) ... ok
test_base.TestDIA.test_sub_dense(<type 'numpy.int64'>,) ... ok
test_base.TestDIA.test_sub_dense(<type 'numpy.float64'>,) ... ok
test_base.TestDIA.test_sub_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestDIA.test_sum(<type 'numpy.uint64'>, 0) ... ok
test_base.TestDIA.test_sum(<type 'numpy.uint64'>, 1) ... ok
test_base.TestDIA.test_sum(<type 'numpy.uint64'>, 2) ... ok
test_base.TestDIA.test_sum(<type 'numpy.uint64'>, 3) ... ok
test_base.TestDIA.test_sum(<type 'numpy.uint64'>, 4) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestDIA.test_sum(<type 'numpy.uint8'>, 0) ... ok
test_base.TestDIA.test_sum(<type 'numpy.uint8'>, 1) ... ok
test_base.TestDIA.test_sum(<type 'numpy.uint8'>, 2) ... ok
test_base.TestDIA.test_sum(<type 'numpy.uint8'>, 3) ... ok
test_base.TestDIA.test_sum(<type 'numpy.uint8'>, 4) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int8'>, 0) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int8'>, 1) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int8'>, 2) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int8'>, 3) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int8'>, 4) ... ok
test_base.TestDIA.test_sum(<type 'numpy.bool_'>, 0) ... ok
test_base.TestDIA.test_sum(<type 'numpy.bool_'>, 1) ... ok
test_base.TestDIA.test_sum(<type 'numpy.bool_'>, 2) ... ok
test_base.TestDIA.test_sum(<type 'numpy.bool_'>, 3) ... ok
test_base.TestDIA.test_sum(<type 'numpy.bool_'>, 4) ... ok
test_base.TestDIA.test_sum(<type 'numpy.float32'>, 0) ... ok
test_base.TestDIA.test_sum(<type 'numpy.float32'>, 1) ... ok
test_base.TestDIA.test_sum(<type 'numpy.float32'>, 2) ... ok
test_base.TestDIA.test_sum(<type 'numpy.float32'>, 3) ... ok
test_base.TestDIA.test_sum(<type 'numpy.float32'>, 4) ... ok
test_base.TestDIA.test_sum(<type 'numpy.uint16'>, 0) ... ok
test_base.TestDIA.test_sum(<type 'numpy.uint16'>, 1) ... ok
test_base.TestDIA.test_sum(<type 'numpy.uint16'>, 2) ... ok
test_base.TestDIA.test_sum(<type 'numpy.uint16'>, 3) ... ok
test_base.TestDIA.test_sum(<type 'numpy.uint16'>, 4) ... ok
test_base.TestDIA.test_sum(<type 'numpy.complex64'>, 0) ... ok
test_base.TestDIA.test_sum(<type 'numpy.complex64'>, 1) ... ok
test_base.TestDIA.test_sum(<type 'numpy.complex64'>, 2) ... ok
test_base.TestDIA.test_sum(<type 'numpy.complex64'>, 3) ... ok
test_base.TestDIA.test_sum(<type 'numpy.complex64'>, 4) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int16'>, 0) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int16'>, 1) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int16'>, 2) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int16'>, 3) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int16'>, 4) ... ok
test_base.TestDIA.test_sum(<type 'numpy.float64'>, 0) ... ok
test_base.TestDIA.test_sum(<type 'numpy.float64'>, 1) ... ok
test_base.TestDIA.test_sum(<type 'numpy.float64'>, 2) ... ok
test_base.TestDIA.test_sum(<type 'numpy.float64'>, 3) ... ok
test_base.TestDIA.test_sum(<type 'numpy.float64'>, 4) ... ok
test_base.TestDIA.test_sum(<type 'numpy.complex128'>, 0) ... ok
test_base.TestDIA.test_sum(<type 'numpy.complex128'>, 1) ... ok
test_base.TestDIA.test_sum(<type 'numpy.complex128'>, 2) ... ok
test_base.TestDIA.test_sum(<type 'numpy.complex128'>, 3) ... ok
test_base.TestDIA.test_sum(<type 'numpy.complex128'>, 4) ... ok
test_base.TestDIA.test_sum(<type 'numpy.uint32'>, 0) ... ok
test_base.TestDIA.test_sum(<type 'numpy.uint32'>, 1) ... ok
test_base.TestDIA.test_sum(<type 'numpy.uint32'>, 2) ... ok
test_base.TestDIA.test_sum(<type 'numpy.uint32'>, 3) ... ok
test_base.TestDIA.test_sum(<type 'numpy.uint32'>, 4) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int32'>, 0) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int32'>, 1) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int32'>, 2) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int32'>, 3) ... ok
test_base.TestDIA.test_sum(<type 'numpy.int32'>, 4) ... ok
test_base.TestDIA.test_sum(<type 'numpy.complex256'>, 0) ... ok
test_base.TestDIA.test_sum(<type 'numpy.complex256'>, 1) ... ok
test_base.TestDIA.test_sum(<type 'numpy.complex256'>, 2) ... ok
test_base.TestDIA.test_sum(<type 'numpy.complex256'>, 3) ... ok
test_base.TestDIA.test_sum(<type 'numpy.complex256'>, 4) ... ok
test_base.TestDIA.test_sum(<type 'numpy.float128'>, 0) ... ok
test_base.TestDIA.test_sum(<type 'numpy.float128'>, 1) ... ok
test_base.TestDIA.test_sum(<type 'numpy.float128'>, 2) ... ok
test_base.TestDIA.test_sum(<type 'numpy.float128'>, 3) ... ok
test_base.TestDIA.test_sum(<type 'numpy.float128'>, 4) ... ok
test_base.TestDIA.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestDIA.test_sum_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestDIA.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestDIA.test_sum_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestDIA.test_sum_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestDIA.test_sum_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestDIA.test_sum_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestDIA.test_sum_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestDIA.test_sum_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestDIA.test_sum_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestDIA.test_sum_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestDIA.test_sum_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestDIA.test_sum_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestDIA.test_sum_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestDIA.test_sum_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestDIA.test_sum_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestDIA.test_sum_invalid_params ... ok
test_base.TestDIA.test_sum_out ... ok
test_base.TestDIA.test_toarray ... ok
test_base.TestDIA.test_tobsr ... ok
test_base.TestDIA.test_todense ... ok
test_base.TestDIA.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.uint64'>, 0) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.uint64'>, 1) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.uint8'>, 0) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.uint8'>, 1) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.int8'>, 0) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.int8'>, 1) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.bool_'>, 0) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.bool_'>, 1) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.float32'>, 0) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.float32'>, 1) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.uint16'>, 0) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.uint16'>, 1) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.complex64'>, 0) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.complex64'>, 1) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.int16'>, 0) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.int16'>, 1) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.float64'>, 0) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.float64'>, 1) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.complex128'>, 0) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.complex128'>, 1) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.uint32'>, 0) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.uint32'>, 1) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.int32'>, 0) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.int32'>, 1) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.complex256'>, 0) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.complex256'>, 1) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.float128'>, 0) ... ok
test_base.TestDIA.test_transpose(<type 'numpy.float128'>, 1) ... ok
test_base.TestDIA.test_ufunc_object_array ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.TestDIA.test_unary_ufunc_overrides('sin',) ... ok
test_base.TestDIA.test_unary_ufunc_overrides('tan',) ... ok
test_base.TestDIA.test_unary_ufunc_overrides('arcsin',) ... ok
test_base.TestDIA.test_unary_ufunc_overrides('arctan',) ... ok
test_base.TestDIA.test_unary_ufunc_overrides('sinh',) ... ok
test_base.TestDIA.test_unary_ufunc_overrides('tanh',) ... ok
test_base.TestDIA.test_unary_ufunc_overrides('arcsinh',) ... ok
test_base.TestDIA.test_unary_ufunc_overrides('arctanh',) ... ok
test_base.TestDIA.test_unary_ufunc_overrides('rint',) ... ok
test_base.TestDIA.test_unary_ufunc_overrides('sign',) ... SKIP: sign conflicts with comparison op support on Numpy without __numpy_ufunc__
test_base.TestDIA.test_unary_ufunc_overrides('expm1',) ... ok
test_base.TestDIA.test_unary_ufunc_overrides('log1p',) ... ok
test_base.TestDIA.test_unary_ufunc_overrides('deg2rad',) ... ok
test_base.TestDIA.test_unary_ufunc_overrides('rad2deg',) ... ok
test_base.TestDIA.test_unary_ufunc_overrides('floor',) ... ok
test_base.TestDIA.test_unary_ufunc_overrides('ceil',) ... ok
test_base.TestDIA.test_unary_ufunc_overrides('trunc',) ... ok
test_base.TestDIA.test_unary_ufunc_overrides('sqrt',) ... ok
test_base.TestDIA.test_unary_ufunc_overrides('abs',) ... ok
test_base.TestDOK.test_abs ... ok
test_base.TestDOK.test_add(<type 'numpy.int64'>,) ... ok
test_base.TestDOK.test_add(<type 'numpy.float64'>,) ... ok
test_base.TestDOK.test_add(<type 'numpy.complex128'>,) ... ok
test_base.TestDOK.test_add0(<type 'numpy.int64'>,) ... ok
test_base.TestDOK.test_add0(<type 'numpy.float64'>,) ... ok
test_base.TestDOK.test_add0(<type 'numpy.complex128'>,) ... ok
test_base.TestDOK.test_add_dense(<type 'numpy.int64'>,) ... ok
test_base.TestDOK.test_add_dense(<type 'numpy.float64'>,) ... ok
test_base.TestDOK.test_add_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestDOK.test_add_nonzero ... ok
test_base.TestDOK.test_add_sub ... ok
test_base.TestDOK.test_asfptype ... ok
test_base.TestDOK.test_astype ... ok
test_base.TestDOK.test_bad_index ... ok
test_base.TestDOK.test_bad_index_assign ... ok
test_base.TestDOK.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_binop_custom_type ... ok
test_base.TestDOK.test_bool(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Cannot create a rank <= 2 DOK matrix.
test_base.TestDOK.test_bool(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Cannot create a rank <= 2 DOK matrix.
test_base.TestDOK.test_bool(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Cannot create a rank <= 2 DOK matrix.
test_base.TestDOK.test_bool(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Cannot create a rank <= 2 DOK matrix.
test_base.TestDOK.test_bool(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Cannot create a rank <= 2 DOK matrix.
test_base.TestDOK.test_bool(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Cannot create a rank <= 2 DOK matrix.
test_base.TestDOK.test_bool(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Cannot create a rank <= 2 DOK matrix.
test_base.TestDOK.test_bool(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Cannot create a rank <= 2 DOK matrix.
test_base.TestDOK.test_bool(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Cannot create a rank <= 2 DOK matrix.
test_base.TestDOK.test_bool(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Cannot create a rank <= 2 DOK matrix.
test_base.TestDOK.test_bool(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Cannot create a rank <= 2 DOK matrix.
test_base.TestDOK.test_bool(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Cannot create a rank <= 2 DOK matrix.
test_base.TestDOK.test_bool(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Cannot create a rank <= 2 DOK matrix.
test_base.TestDOK.test_bool(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Cannot create a rank <= 2 DOK matrix.
test_base.TestDOK.test_bool(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Cannot create a rank <= 2 DOK matrix.
test_base.TestDOK.test_bool(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Cannot create a rank <= 2 DOK matrix.
test_base.TestDOK.test_bool_rollover ... ok
test_base.TestDOK.test_convert ... ok
test_base.TestDOK.test_copy ... ok
test_base.TestDOK.test_count_nonzero ... ok
test_base.TestDOK.test_ctor ... ok
test_base.TestDOK.test_diagonal ... ok
test_base.TestDOK.test_dok_divide_scalar ... ok
test_base.TestDOK.test_dtype_preservation ... ok
test_base.TestDOK.test_elementwise_divide ... ok
test_base.TestDOK.test_elementwise_multiply ... ok
test_base.TestDOK.test_elementwise_multiply_broadcast ... ok
test_base.TestDOK.test_elementwise_power ... ok
test_base.TestDOK.test_ellipsis_slicing ... ok
test_base.TestDOK.test_empty ... ok
test_base.TestDOK.test_empty_arithmetic ... ok
test_base.TestDOK.test_eq(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_eq(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_eq(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_eq(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_eq(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_eq(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_eq(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_eq(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_eq(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_eq(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_eq(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_eq(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_eq(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_eq(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_eq(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_eq(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_expm ... ok
test_base.TestDOK.test_fancy_assign_empty ... ok
test_base.TestDOK.test_fancy_assign_list ... ok
test_base.TestDOK.test_fancy_assign_ndarray ... ok
test_base.TestDOK.test_fancy_assign_slice ... ok
test_base.TestDOK.test_fancy_assignment_dtypes(dtype('bool'),) ... ok
test_base.TestDOK.test_fancy_assignment_dtypes(dtype('int8'),) ... ok
test_base.TestDOK.test_fancy_assignment_dtypes(dtype('uint8'),) ... ok
test_base.TestDOK.test_fancy_assignment_dtypes(dtype('int16'),) ... ok
test_base.TestDOK.test_fancy_assignment_dtypes(dtype('uint16'),) ... ok
test_base.TestDOK.test_fancy_assignment_dtypes(dtype('int32'),) ... ok
test_base.TestDOK.test_fancy_assignment_dtypes(dtype('uint32'),) ... ok
test_base.TestDOK.test_fancy_assignment_dtypes(dtype('int64'),) ... ok
test_base.TestDOK.test_fancy_assignment_dtypes(dtype('uint64'),) ... ok
test_base.TestDOK.test_fancy_assignment_dtypes(dtype('float32'),) ... ok
test_base.TestDOK.test_fancy_assignment_dtypes(dtype('float64'),) ... ok
test_base.TestDOK.test_fancy_assignment_dtypes(dtype('float128'),) ... ok
test_base.TestDOK.test_fancy_assignment_dtypes(dtype('complex64'),) ... ok
test_base.TestDOK.test_fancy_assignment_dtypes(dtype('complex128'),) ... ok
test_base.TestDOK.test_fancy_assignment_dtypes(dtype('complex256'),) ... ok
test_base.TestDOK.test_fancy_indexing ... ok
test_base.TestDOK.test_fancy_indexing_boolean ... ok
test_base.TestDOK.test_fancy_indexing_empty ... ok
test_base.TestDOK.test_fancy_indexing_multidim_set ... ok
test_base.TestDOK.test_fancy_indexing_ndarray ... ok
test_base.TestDOK.test_fancy_indexing_randomized ... ok
test_base.TestDOK.test_fancy_indexing_regression_3087 ... ok
test_base.TestDOK.test_fancy_indexing_seq_assign ... ok
test_base.TestDOK.test_fancy_indexing_set ... ok
test_base.TestDOK.test_fancy_indexing_sparse_boolean ... ok
test_base.TestDOK.test_from_array ... ok
test_base.TestDOK.test_from_list ... ok
test_base.TestDOK.test_from_matrix ... ok
test_base.TestDOK.test_from_sparse ... ok
test_base.TestDOK.test_ge(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ge(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ge(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ge(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ge(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ge(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ge(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ge(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ge(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ge(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ge(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ge(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ge(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ge(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ge(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ge(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_get_horiz_slice ... ok
test_base.TestDOK.test_get_slices ... ok
test_base.TestDOK.test_get_vert_slice ... ok
test_base.TestDOK.test_getcol ... ok
test_base.TestDOK.test_getelement(dtype('bool'),) ... ok
test_base.TestDOK.test_getelement(dtype('int8'),) ... ok
test_base.TestDOK.test_getelement(dtype('uint8'),) ... ok
test_base.TestDOK.test_getelement(dtype('int16'),) ... ok
test_base.TestDOK.test_getelement(dtype('uint16'),) ... ok
test_base.TestDOK.test_getelement(dtype('int32'),) ... ok
test_base.TestDOK.test_getelement(dtype('uint32'),) ... ok
test_base.TestDOK.test_getelement(dtype('int64'),) ... ok
test_base.TestDOK.test_getelement(dtype('uint64'),) ... ok
test_base.TestDOK.test_getelement(dtype('float32'),) ... ok
test_base.TestDOK.test_getelement(dtype('float64'),) ... ok
test_base.TestDOK.test_getelement(dtype('float128'),) ... ok
test_base.TestDOK.test_getelement(dtype('complex64'),) ... ok
test_base.TestDOK.test_getelement(dtype('complex128'),) ... ok
test_base.TestDOK.test_getelement(dtype('complex256'),) ... ok
test_base.TestDOK.test_getnnz_axis ... SKIP: feature not implemented
test_base.TestDOK.test_getrow ... ok
test_base.TestDOK.test_gt(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_gt(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_gt(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_gt(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_gt(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_gt(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_gt(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_gt(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_gt(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_gt(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_gt(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_gt(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_gt(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_gt(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_gt(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_gt(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_idiv_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestDOK.test_idiv_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestDOK.test_imag ... ok
test_base.TestDOK.test_imul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestDOK.test_imul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestDOK.test_imul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestDOK.test_index_scalar_assign ... ok
test_base.TestDOK.test_inplace_dense ... ok
test_base.TestDOK.test_inplace_success ... ok
test_base.TestDOK.test_inv(<type 'float'>,) ... ok
test_base.TestDOK.test_invalid_shapes ... ok
test_base.TestDOK.test_iterator ... ok
test_base.TestDOK.test_le(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_le(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_le(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_le(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_le(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_le(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_le(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_le(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_le(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_le(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_le(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_le(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_le(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_le(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_le(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_le(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_lt(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_lt(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_lt(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_lt(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_lt(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_lt(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_lt(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_lt(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_lt(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_lt(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_lt(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_lt(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_lt(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_lt(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_lt(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_lt(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_matmat_dense ... ok
test_base.TestDOK.test_matmat_sparse ... ok
test_base.TestDOK.test_matmul ... SKIP: matmul is only tested in Python 3.5+
test_base.TestDOK.test_matvec ... ok
test_base.TestDOK.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar2') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('int64'), dtype('int8'), 'dense') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('int64'), dtype('int8'), 'sparse') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar2') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('int64'), dtype('float64'), 'dense') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('int64'), dtype('float64'), 'sparse') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'dense') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'sparse') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar2') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('float64'), dtype('int8'), 'dense') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('float64'), dtype('int8'), 'sparse') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar2') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('float64'), dtype('float64'), 'dense') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('float64'), dtype('float64'), 'sparse') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'dense') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'sparse') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar2') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'dense') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'sparse') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar2') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'dense') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'sparse') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar2') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'dense') ... ok
test_base.TestDOK.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'sparse') ... ok
test_base.TestDOK.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestDOK.test_mean(<type 'numpy.uint64'>,) ... ok
test_base.TestDOK.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestDOK.test_mean(<type 'numpy.uint8'>,) ... ok
test_base.TestDOK.test_mean(<type 'numpy.int8'>,) ... ok
test_base.TestDOK.test_mean(<type 'numpy.bool_'>,) ... ok
test_base.TestDOK.test_mean(<type 'numpy.float32'>,) ... ok
test_base.TestDOK.test_mean(<type 'numpy.uint16'>,) ... ok
test_base.TestDOK.test_mean(<type 'numpy.complex64'>,) ... ok
test_base.TestDOK.test_mean(<type 'numpy.int16'>,) ... ok
test_base.TestDOK.test_mean(<type 'numpy.float64'>,) ... ok
test_base.TestDOK.test_mean(<type 'numpy.complex128'>,) ... ok
test_base.TestDOK.test_mean(<type 'numpy.uint32'>,) ... ok
test_base.TestDOK.test_mean(<type 'numpy.int32'>,) ... ok
test_base.TestDOK.test_mean(<type 'numpy.complex256'>,) ... ok
test_base.TestDOK.test_mean(<type 'numpy.float128'>,) ... ok
test_base.TestDOK.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestDOK.test_mean_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestDOK.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestDOK.test_mean_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestDOK.test_mean_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestDOK.test_mean_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestDOK.test_mean_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestDOK.test_mean_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestDOK.test_mean_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestDOK.test_mean_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestDOK.test_mean_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestDOK.test_mean_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestDOK.test_mean_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestDOK.test_mean_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestDOK.test_mean_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestDOK.test_mean_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestDOK.test_mean_invalid_params ... ok
test_base.TestDOK.test_mean_out ... ok
test_base.TestDOK.test_minmax ... SKIP: feature not implemented
test_base.TestDOK.test_minmax_axis ... SKIP: feature not implemented
test_base.TestDOK.test_minmax_invalid_params ... SKIP: feature not implemented
test_base.TestDOK.test_mu ... ok
test_base.TestDOK.test_mul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestDOK.test_mul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestDOK.test_mul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestDOK.test_mult ... ok
test_base.TestDOK.test_multiple_ellipsis_slicing ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.TestDOK.test_ne(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ne(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ne(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ne(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ne(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ne(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ne(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ne(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ne(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ne(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ne(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ne(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ne(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ne(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ne(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_ne(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestDOK.test_neg ... ok
test_base.TestDOK.test_negative_index_assignment(dtype('int64'),) ... ok
test_base.TestDOK.test_negative_index_assignment(dtype('float64'),) ... ok
test_base.TestDOK.test_negative_index_assignment(dtype('complex128'),) ... ok
test_base.TestDOK.test_non_unit_stride_2d_indexing ... ok
test_base.TestDOK.test_nonzero ... ok
test_base.TestDOK.test_numpy_mean ... ok
test_base.TestDOK.test_numpy_minmax ... ok
test_base.TestDOK.test_numpy_nonzero ... ok
test_base.TestDOK.test_numpy_sum ... ok
test_base.TestDOK.test_pow ... ok
test_base.TestDOK.test_radd(<type 'numpy.int64'>,) ... ok
test_base.TestDOK.test_radd(<type 'numpy.float64'>,) ... ok
test_base.TestDOK.test_radd(<type 'numpy.complex128'>,) ... ok
test_base.TestDOK.test_real ... ok
test_base.TestDOK.test_repr ... ok
test_base.TestDOK.test_resize ... ok
test_base.TestDOK.test_rmatvec ... ok
test_base.TestDOK.test_rmul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestDOK.test_rmul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestDOK.test_rmul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestDOK.test_rsub(<type 'numpy.int64'>,) ... ok
test_base.TestDOK.test_rsub(<type 'numpy.float64'>,) ... ok
test_base.TestDOK.test_rsub(<type 'numpy.complex128'>,) ... ok
test_base.TestDOK.test_scalar_assign_2 ... ok
test_base.TestDOK.test_self_self_assignment ... ok
test_base.TestDOK.test_sequence_assignment ... ok
test_base.TestDOK.test_set_slice ... ok
test_base.TestDOK.test_setdiag ... ok
test_base.TestDOK.test_setelement(dtype('bool'),) ... ok
test_base.TestDOK.test_setelement(dtype('int8'),) ... ok
test_base.TestDOK.test_setelement(dtype('uint8'),) ... ok
test_base.TestDOK.test_setelement(dtype('int16'),) ... ok
test_base.TestDOK.test_setelement(dtype('uint16'),) ... ok
test_base.TestDOK.test_setelement(dtype('int32'),) ... ok
test_base.TestDOK.test_setelement(dtype('uint32'),) ... ok
test_base.TestDOK.test_setelement(dtype('int64'),) ... ok
test_base.TestDOK.test_setelement(dtype('uint64'),) ... ok
test_base.TestDOK.test_setelement(dtype('float32'),) ... ok
test_base.TestDOK.test_setelement(dtype('float64'),) ... ok
test_base.TestDOK.test_setelement(dtype('float128'),) ... ok
test_base.TestDOK.test_setelement(dtype('complex64'),) ... ok
test_base.TestDOK.test_setelement(dtype('complex128'),) ... ok
test_base.TestDOK.test_setelement(dtype('complex256'),) ... ok
test_base.TestDOK.test_size_zero_conversions ... ok
test_base.TestDOK.test_size_zero_matrix_arithmetic ... ok
test_base.TestDOK.test_slice_assign_2 ... ok
test_base.TestDOK.test_slice_assignment ... ok
test_base.TestDOK.test_slice_scalar_assign ... ok
test_base.TestDOK.test_slicing_2 ... ok
test_base.TestDOK.test_slicing_3(slice(None, 2, None),) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 2, None),) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, None),) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, 2),) ... ok
test_base.TestDOK.test_slicing_3(slice(8, 3, -1),) ... ok
test_base.TestDOK.test_slicing_3(slice(4, None, -2),) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 5, -1),) ... ok
test_base.TestDOK.test_slicing_3(0,) ... ok
test_base.TestDOK.test_slicing_3(1,) ... ok
test_base.TestDOK.test_slicing_3(slice(None, None, None),) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 5, None),) ... ok
test_base.TestDOK.test_slicing_3(-1,) ... ok
test_base.TestDOK.test_slicing_3(-2,) ... ok
test_base.TestDOK.test_slicing_3(-5,) ... ok
test_base.TestDOK.test_slicing_3(array(-1),) ... ok
test_base.TestDOK.test_slicing_3(-3,) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 2, None), slice(None, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 2, None), slice(1, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 2, None), slice(3, None, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 2, None), slice(3, None, 2)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 2, None), slice(8, 3, -1)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 2, None), slice(4, None, -2)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 2, None), slice(None, 5, -1)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 2, None), 0) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 2, None), 1) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 2, None), slice(None, None, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 2, None), slice(1, 5, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 2, None), -1) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 2, None), -2) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 2, None), -5) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 2, None), array(-1)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 2, None), -3) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 2, None), slice(None, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 2, None), slice(1, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 2, None), slice(3, None, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 2, None), slice(3, None, 2)) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 2, None), slice(8, 3, -1)) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 2, None), slice(4, None, -2)) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 2, None), slice(None, 5, -1)) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 2, None), 0) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 2, None), 1) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 2, None), slice(None, None, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 2, None), slice(1, 5, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 2, None), -1) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 2, None), -2) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 2, None), -5) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 2, None), array(-1)) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 2, None), -3) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, None), slice(None, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, None), slice(1, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, None), slice(3, None, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, None), slice(3, None, 2)) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, None), slice(8, 3, -1)) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, None), slice(4, None, -2)) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, None), slice(None, 5, -1)) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, None), 0) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, None), 1) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, None), slice(None, None, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, None), slice(1, 5, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, None), -1) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, None), -2) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, None), -5) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, None), array(-1)) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, None), -3) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, 2), slice(None, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, 2), slice(1, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, 2), slice(3, None, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, 2), slice(3, None, 2)) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, 2), slice(8, 3, -1)) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, 2), slice(4, None, -2)) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, 2), slice(None, 5, -1)) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, 2), 0) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, 2), 1) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, 2), slice(None, None, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, 2), slice(1, 5, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, 2), -1) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, 2), -2) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, 2), -5) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, 2), array(-1)) ... ok
test_base.TestDOK.test_slicing_3(slice(3, None, 2), -3) ... ok
test_base.TestDOK.test_slicing_3(slice(8, 3, -1), slice(None, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(8, 3, -1), slice(1, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(8, 3, -1), slice(3, None, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(8, 3, -1), slice(3, None, 2)) ... ok
test_base.TestDOK.test_slicing_3(slice(8, 3, -1), slice(8, 3, -1)) ... ok
test_base.TestDOK.test_slicing_3(slice(8, 3, -1), slice(4, None, -2)) ... ok
test_base.TestDOK.test_slicing_3(slice(8, 3, -1), slice(None, 5, -1)) ... ok
test_base.TestDOK.test_slicing_3(slice(8, 3, -1), 0) ... ok
test_base.TestDOK.test_slicing_3(slice(8, 3, -1), 1) ... ok
test_base.TestDOK.test_slicing_3(slice(8, 3, -1), slice(None, None, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(8, 3, -1), slice(1, 5, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(8, 3, -1), -1) ... ok
test_base.TestDOK.test_slicing_3(slice(8, 3, -1), -2) ... ok
test_base.TestDOK.test_slicing_3(slice(8, 3, -1), -5) ... ok
test_base.TestDOK.test_slicing_3(slice(8, 3, -1), array(-1)) ... ok
test_base.TestDOK.test_slicing_3(slice(8, 3, -1), -3) ... ok
test_base.TestDOK.test_slicing_3(slice(4, None, -2), slice(None, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(4, None, -2), slice(1, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(4, None, -2), slice(3, None, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(4, None, -2), slice(3, None, 2)) ... ok
test_base.TestDOK.test_slicing_3(slice(4, None, -2), slice(8, 3, -1)) ... ok
test_base.TestDOK.test_slicing_3(slice(4, None, -2), slice(4, None, -2)) ... ok
test_base.TestDOK.test_slicing_3(slice(4, None, -2), slice(None, 5, -1)) ... ok
test_base.TestDOK.test_slicing_3(slice(4, None, -2), 0) ... ok
test_base.TestDOK.test_slicing_3(slice(4, None, -2), 1) ... ok
test_base.TestDOK.test_slicing_3(slice(4, None, -2), slice(None, None, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(4, None, -2), slice(1, 5, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(4, None, -2), -1) ... ok
test_base.TestDOK.test_slicing_3(slice(4, None, -2), -2) ... ok
test_base.TestDOK.test_slicing_3(slice(4, None, -2), -5) ... ok
test_base.TestDOK.test_slicing_3(slice(4, None, -2), array(-1)) ... ok
test_base.TestDOK.test_slicing_3(slice(4, None, -2), -3) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 5, -1), slice(None, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 5, -1), slice(1, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 5, -1), slice(3, None, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 5, -1), slice(3, None, 2)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 5, -1), slice(8, 3, -1)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 5, -1), slice(4, None, -2)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 5, -1), slice(None, 5, -1)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 5, -1), 0) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 5, -1), 1) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 5, -1), slice(None, None, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 5, -1), slice(1, 5, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 5, -1), -1) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 5, -1), -2) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 5, -1), -5) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 5, -1), array(-1)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, 5, -1), -3) ... ok
test_base.TestDOK.test_slicing_3(0, slice(None, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(0, slice(1, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(0, slice(3, None, None)) ... ok
test_base.TestDOK.test_slicing_3(0, slice(3, None, 2)) ... ok
test_base.TestDOK.test_slicing_3(0, slice(8, 3, -1)) ... ok
test_base.TestDOK.test_slicing_3(0, slice(4, None, -2)) ... ok
test_base.TestDOK.test_slicing_3(0, slice(None, 5, -1)) ... ok
test_base.TestDOK.test_slicing_3(0, 0) ... ok
test_base.TestDOK.test_slicing_3(0, 1) ... ok
test_base.TestDOK.test_slicing_3(0, slice(None, None, None)) ... ok
test_base.TestDOK.test_slicing_3(0, slice(1, 5, None)) ... ok
test_base.TestDOK.test_slicing_3(0, -1) ... ok
test_base.TestDOK.test_slicing_3(0, -2) ... ok
test_base.TestDOK.test_slicing_3(0, -5) ... ok
test_base.TestDOK.test_slicing_3(0, array(-1)) ... ok
test_base.TestDOK.test_slicing_3(0, -3) ... ok
test_base.TestDOK.test_slicing_3(1, slice(None, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(1, slice(1, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(1, slice(3, None, None)) ... ok
test_base.TestDOK.test_slicing_3(1, slice(3, None, 2)) ... ok
test_base.TestDOK.test_slicing_3(1, slice(8, 3, -1)) ... ok
test_base.TestDOK.test_slicing_3(1, slice(4, None, -2)) ... ok
test_base.TestDOK.test_slicing_3(1, slice(None, 5, -1)) ... ok
test_base.TestDOK.test_slicing_3(1, 0) ... ok
test_base.TestDOK.test_slicing_3(1, 1) ... ok
test_base.TestDOK.test_slicing_3(1, slice(None, None, None)) ... ok
test_base.TestDOK.test_slicing_3(1, slice(1, 5, None)) ... ok
test_base.TestDOK.test_slicing_3(1, -1) ... ok
test_base.TestDOK.test_slicing_3(1, -2) ... ok
test_base.TestDOK.test_slicing_3(1, -5) ... ok
test_base.TestDOK.test_slicing_3(1, array(-1)) ... ok
test_base.TestDOK.test_slicing_3(1, -3) ... ok
test_base.TestDOK.test_slicing_3(slice(None, None, None), slice(None, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, None, None), slice(1, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, None, None), slice(3, None, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, None, None), slice(3, None, 2)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, None, None), slice(8, 3, -1)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, None, None), slice(4, None, -2)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, None, None), slice(None, 5, -1)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, None, None), 0) ... ok
test_base.TestDOK.test_slicing_3(slice(None, None, None), 1) ... ok
test_base.TestDOK.test_slicing_3(slice(None, None, None), slice(None, None, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, None, None), slice(1, 5, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, None, None), -1) ... ok
test_base.TestDOK.test_slicing_3(slice(None, None, None), -2) ... ok
test_base.TestDOK.test_slicing_3(slice(None, None, None), -5) ... ok
test_base.TestDOK.test_slicing_3(slice(None, None, None), array(-1)) ... ok
test_base.TestDOK.test_slicing_3(slice(None, None, None), -3) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 5, None), slice(None, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 5, None), slice(1, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 5, None), slice(3, None, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 5, None), slice(3, None, 2)) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 5, None), slice(8, 3, -1)) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 5, None), slice(4, None, -2)) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 5, None), slice(None, 5, -1)) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 5, None), 0) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 5, None), 1) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 5, None), slice(None, None, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 5, None), slice(1, 5, None)) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 5, None), -1) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 5, None), -2) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 5, None), -5) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 5, None), array(-1)) ... ok
test_base.TestDOK.test_slicing_3(slice(1, 5, None), -3) ... ok
test_base.TestDOK.test_slicing_3(-1, slice(None, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(-1, slice(1, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(-1, slice(3, None, None)) ... ok
test_base.TestDOK.test_slicing_3(-1, slice(3, None, 2)) ... ok
test_base.TestDOK.test_slicing_3(-1, slice(8, 3, -1)) ... ok
test_base.TestDOK.test_slicing_3(-1, slice(4, None, -2)) ... ok
test_base.TestDOK.test_slicing_3(-1, slice(None, 5, -1)) ... ok
test_base.TestDOK.test_slicing_3(-1, 0) ... ok
test_base.TestDOK.test_slicing_3(-1, 1) ... ok
test_base.TestDOK.test_slicing_3(-1, slice(None, None, None)) ... ok
test_base.TestDOK.test_slicing_3(-1, slice(1, 5, None)) ... ok
test_base.TestDOK.test_slicing_3(-1, -1) ... ok
test_base.TestDOK.test_slicing_3(-1, -2) ... ok
test_base.TestDOK.test_slicing_3(-1, -5) ... ok
test_base.TestDOK.test_slicing_3(-1, array(-1)) ... ok
test_base.TestDOK.test_slicing_3(-1, -3) ... ok
test_base.TestDOK.test_slicing_3(-2, slice(None, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(-2, slice(1, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(-2, slice(3, None, None)) ... ok
test_base.TestDOK.test_slicing_3(-2, slice(3, None, 2)) ... ok
test_base.TestDOK.test_slicing_3(-2, slice(8, 3, -1)) ... ok
test_base.TestDOK.test_slicing_3(-2, slice(4, None, -2)) ... ok
test_base.TestDOK.test_slicing_3(-2, slice(None, 5, -1)) ... ok
test_base.TestDOK.test_slicing_3(-2, 0) ... ok
test_base.TestDOK.test_slicing_3(-2, 1) ... ok
test_base.TestDOK.test_slicing_3(-2, slice(None, None, None)) ... ok
test_base.TestDOK.test_slicing_3(-2, slice(1, 5, None)) ... ok
test_base.TestDOK.test_slicing_3(-2, -1) ... ok
test_base.TestDOK.test_slicing_3(-2, -2) ... ok
test_base.TestDOK.test_slicing_3(-2, -5) ... ok
test_base.TestDOK.test_slicing_3(-2, array(-1)) ... ok
test_base.TestDOK.test_slicing_3(-2, -3) ... ok
test_base.TestDOK.test_slicing_3(-5, slice(None, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(-5, slice(1, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(-5, slice(3, None, None)) ... ok
test_base.TestDOK.test_slicing_3(-5, slice(3, None, 2)) ... ok
test_base.TestDOK.test_slicing_3(-5, slice(8, 3, -1)) ... ok
test_base.TestDOK.test_slicing_3(-5, slice(4, None, -2)) ... ok
test_base.TestDOK.test_slicing_3(-5, slice(None, 5, -1)) ... ok
test_base.TestDOK.test_slicing_3(-5, 0) ... ok
test_base.TestDOK.test_slicing_3(-5, 1) ... ok
test_base.TestDOK.test_slicing_3(-5, slice(None, None, None)) ... ok
test_base.TestDOK.test_slicing_3(-5, slice(1, 5, None)) ... ok
test_base.TestDOK.test_slicing_3(-5, -1) ... ok
test_base.TestDOK.test_slicing_3(-5, -2) ... ok
test_base.TestDOK.test_slicing_3(-5, -5) ... ok
test_base.TestDOK.test_slicing_3(-5, array(-1)) ... ok
test_base.TestDOK.test_slicing_3(-5, -3) ... ok
test_base.TestDOK.test_slicing_3(array(-1), slice(None, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(array(-1), slice(1, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(array(-1), slice(3, None, None)) ... ok
test_base.TestDOK.test_slicing_3(array(-1), slice(3, None, 2)) ... ok
test_base.TestDOK.test_slicing_3(array(-1), slice(8, 3, -1)) ... ok
test_base.TestDOK.test_slicing_3(array(-1), slice(4, None, -2)) ... ok
test_base.TestDOK.test_slicing_3(array(-1), slice(None, 5, -1)) ... ok
test_base.TestDOK.test_slicing_3(array(-1), 0) ... ok
test_base.TestDOK.test_slicing_3(array(-1), 1) ... ok
test_base.TestDOK.test_slicing_3(array(-1), slice(None, None, None)) ... ok
test_base.TestDOK.test_slicing_3(array(-1), slice(1, 5, None)) ... ok
test_base.TestDOK.test_slicing_3(array(-1), -1) ... ok
test_base.TestDOK.test_slicing_3(array(-1), -2) ... ok
test_base.TestDOK.test_slicing_3(array(-1), -5) ... ok
test_base.TestDOK.test_slicing_3(array(-1), array(-1)) ... ok
test_base.TestDOK.test_slicing_3(array(-1), -3) ... ok
test_base.TestDOK.test_slicing_3(-3, slice(None, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(-3, slice(1, 2, None)) ... ok
test_base.TestDOK.test_slicing_3(-3, slice(3, None, None)) ... ok
test_base.TestDOK.test_slicing_3(-3, slice(3, None, 2)) ... ok
test_base.TestDOK.test_slicing_3(-3, slice(8, 3, -1)) ... ok
test_base.TestDOK.test_slicing_3(-3, slice(4, None, -2)) ... ok
test_base.TestDOK.test_slicing_3(-3, slice(None, 5, -1)) ... ok
test_base.TestDOK.test_slicing_3(-3, 0) ... ok
test_base.TestDOK.test_slicing_3(-3, 1) ... ok
test_base.TestDOK.test_slicing_3(-3, slice(None, None, None)) ... ok
test_base.TestDOK.test_slicing_3(-3, slice(1, 5, None)) ... ok
test_base.TestDOK.test_slicing_3(-3, -1) ... ok
test_base.TestDOK.test_slicing_3(-3, -2) ... ok
test_base.TestDOK.test_slicing_3(-3, -5) ... ok
test_base.TestDOK.test_slicing_3(-3, array(-1)) ... ok
test_base.TestDOK.test_slicing_3(-3, -3) ... ok
test_base.TestDOK.test_small_multiplication ... ok
test_base.TestDOK.test_solve ... ok
test_base.TestDOK.test_sparse_format_conversions ... ok
test_base.TestDOK.test_sparsity_modifying_assignment ... ok
test_base.TestDOK.test_str ... ok
test_base.TestDOK.test_sub(<type 'numpy.int64'>,) ... ok
test_base.TestDOK.test_sub(<type 'numpy.float64'>,) ... ok
test_base.TestDOK.test_sub(<type 'numpy.complex128'>,) ... ok
test_base.TestDOK.test_sub_dense(<type 'numpy.int64'>,) ... ok
test_base.TestDOK.test_sub_dense(<type 'numpy.float64'>,) ... ok
test_base.TestDOK.test_sub_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestDOK.test_sum(<type 'numpy.uint64'>, 0) ... ok
test_base.TestDOK.test_sum(<type 'numpy.uint64'>, 1) ... ok
test_base.TestDOK.test_sum(<type 'numpy.uint64'>, 2) ... ok
test_base.TestDOK.test_sum(<type 'numpy.uint64'>, 3) ... ok
test_base.TestDOK.test_sum(<type 'numpy.uint64'>, 4) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestDOK.test_sum(<type 'numpy.uint8'>, 0) ... ok
test_base.TestDOK.test_sum(<type 'numpy.uint8'>, 1) ... ok
test_base.TestDOK.test_sum(<type 'numpy.uint8'>, 2) ... ok
test_base.TestDOK.test_sum(<type 'numpy.uint8'>, 3) ... ok
test_base.TestDOK.test_sum(<type 'numpy.uint8'>, 4) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int8'>, 0) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int8'>, 1) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int8'>, 2) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int8'>, 3) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int8'>, 4) ... ok
test_base.TestDOK.test_sum(<type 'numpy.bool_'>, 0) ... ok
test_base.TestDOK.test_sum(<type 'numpy.bool_'>, 1) ... ok
test_base.TestDOK.test_sum(<type 'numpy.bool_'>, 2) ... ok
test_base.TestDOK.test_sum(<type 'numpy.bool_'>, 3) ... ok
test_base.TestDOK.test_sum(<type 'numpy.bool_'>, 4) ... ok
test_base.TestDOK.test_sum(<type 'numpy.float32'>, 0) ... ok
test_base.TestDOK.test_sum(<type 'numpy.float32'>, 1) ... ok
test_base.TestDOK.test_sum(<type 'numpy.float32'>, 2) ... ok
test_base.TestDOK.test_sum(<type 'numpy.float32'>, 3) ... ok
test_base.TestDOK.test_sum(<type 'numpy.float32'>, 4) ... ok
test_base.TestDOK.test_sum(<type 'numpy.uint16'>, 0) ... ok
test_base.TestDOK.test_sum(<type 'numpy.uint16'>, 1) ... ok
test_base.TestDOK.test_sum(<type 'numpy.uint16'>, 2) ... ok
test_base.TestDOK.test_sum(<type 'numpy.uint16'>, 3) ... ok
test_base.TestDOK.test_sum(<type 'numpy.uint16'>, 4) ... ok
test_base.TestDOK.test_sum(<type 'numpy.complex64'>, 0) ... ok
test_base.TestDOK.test_sum(<type 'numpy.complex64'>, 1) ... ok
test_base.TestDOK.test_sum(<type 'numpy.complex64'>, 2) ... ok
test_base.TestDOK.test_sum(<type 'numpy.complex64'>, 3) ... ok
test_base.TestDOK.test_sum(<type 'numpy.complex64'>, 4) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int16'>, 0) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int16'>, 1) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int16'>, 2) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int16'>, 3) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int16'>, 4) ... ok
test_base.TestDOK.test_sum(<type 'numpy.float64'>, 0) ... ok
test_base.TestDOK.test_sum(<type 'numpy.float64'>, 1) ... ok
test_base.TestDOK.test_sum(<type 'numpy.float64'>, 2) ... ok
test_base.TestDOK.test_sum(<type 'numpy.float64'>, 3) ... ok
test_base.TestDOK.test_sum(<type 'numpy.float64'>, 4) ... ok
test_base.TestDOK.test_sum(<type 'numpy.complex128'>, 0) ... ok
test_base.TestDOK.test_sum(<type 'numpy.complex128'>, 1) ... ok
test_base.TestDOK.test_sum(<type 'numpy.complex128'>, 2) ... ok
test_base.TestDOK.test_sum(<type 'numpy.complex128'>, 3) ... ok
test_base.TestDOK.test_sum(<type 'numpy.complex128'>, 4) ... ok
test_base.TestDOK.test_sum(<type 'numpy.uint32'>, 0) ... ok
test_base.TestDOK.test_sum(<type 'numpy.uint32'>, 1) ... ok
test_base.TestDOK.test_sum(<type 'numpy.uint32'>, 2) ... ok
test_base.TestDOK.test_sum(<type 'numpy.uint32'>, 3) ... ok
test_base.TestDOK.test_sum(<type 'numpy.uint32'>, 4) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int32'>, 0) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int32'>, 1) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int32'>, 2) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int32'>, 3) ... ok
test_base.TestDOK.test_sum(<type 'numpy.int32'>, 4) ... ok
test_base.TestDOK.test_sum(<type 'numpy.complex256'>, 0) ... ok
test_base.TestDOK.test_sum(<type 'numpy.complex256'>, 1) ... ok
test_base.TestDOK.test_sum(<type 'numpy.complex256'>, 2) ... ok
test_base.TestDOK.test_sum(<type 'numpy.complex256'>, 3) ... ok
test_base.TestDOK.test_sum(<type 'numpy.complex256'>, 4) ... ok
test_base.TestDOK.test_sum(<type 'numpy.float128'>, 0) ... ok
test_base.TestDOK.test_sum(<type 'numpy.float128'>, 1) ... ok
test_base.TestDOK.test_sum(<type 'numpy.float128'>, 2) ... ok
test_base.TestDOK.test_sum(<type 'numpy.float128'>, 3) ... ok
test_base.TestDOK.test_sum(<type 'numpy.float128'>, 4) ... ok
test_base.TestDOK.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestDOK.test_sum_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestDOK.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestDOK.test_sum_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestDOK.test_sum_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestDOK.test_sum_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestDOK.test_sum_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestDOK.test_sum_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestDOK.test_sum_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestDOK.test_sum_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestDOK.test_sum_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestDOK.test_sum_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestDOK.test_sum_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestDOK.test_sum_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestDOK.test_sum_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestDOK.test_sum_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestDOK.test_sum_invalid_params ... ok
test_base.TestDOK.test_sum_out ... ok
test_base.TestDOK.test_ticket1160 ... ok
test_base.TestDOK.test_toarray ... ok
test_base.TestDOK.test_tobsr ... ok
test_base.TestDOK.test_todense ... ok
test_base.TestDOK.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.uint64'>, 0) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.uint64'>, 1) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.uint8'>, 0) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.uint8'>, 1) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.int8'>, 0) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.int8'>, 1) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.bool_'>, 0) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.bool_'>, 1) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.float32'>, 0) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.float32'>, 1) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.uint16'>, 0) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.uint16'>, 1) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.complex64'>, 0) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.complex64'>, 1) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.int16'>, 0) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.int16'>, 1) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.float64'>, 0) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.float64'>, 1) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.complex128'>, 0) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.complex128'>, 1) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.uint32'>, 0) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.uint32'>, 1) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.int32'>, 0) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.int32'>, 1) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.complex256'>, 0) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.complex256'>, 1) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.float128'>, 0) ... ok
test_base.TestDOK.test_transpose(<type 'numpy.float128'>, 1) ... ok
test_base.TestDOK.test_ufunc_object_array ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.TestDOK.test_unary_ufunc_overrides('sin',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestDOK.test_unary_ufunc_overrides('tan',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestDOK.test_unary_ufunc_overrides('arcsin',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestDOK.test_unary_ufunc_overrides('arctan',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestDOK.test_unary_ufunc_overrides('sinh',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestDOK.test_unary_ufunc_overrides('tanh',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestDOK.test_unary_ufunc_overrides('arcsinh',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestDOK.test_unary_ufunc_overrides('arctanh',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestDOK.test_unary_ufunc_overrides('rint',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestDOK.test_unary_ufunc_overrides('sign',) ... SKIP: sign conflicts with comparison op support on Numpy without __numpy_ufunc__
test_base.TestDOK.test_unary_ufunc_overrides('expm1',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestDOK.test_unary_ufunc_overrides('log1p',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestDOK.test_unary_ufunc_overrides('deg2rad',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestDOK.test_unary_ufunc_overrides('rad2deg',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestDOK.test_unary_ufunc_overrides('floor',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestDOK.test_unary_ufunc_overrides('ceil',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestDOK.test_unary_ufunc_overrides('trunc',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestDOK.test_unary_ufunc_overrides('sqrt',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestDOK.test_unary_ufunc_overrides('abs',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestLIL.test_abs ... ok
test_base.TestLIL.test_add(<type 'numpy.int64'>,) ... ok
test_base.TestLIL.test_add(<type 'numpy.float64'>,) ... ok
test_base.TestLIL.test_add(<type 'numpy.complex128'>,) ... ok
test_base.TestLIL.test_add0(<type 'numpy.int64'>,) ... ok
test_base.TestLIL.test_add0(<type 'numpy.float64'>,) ... ok
test_base.TestLIL.test_add0(<type 'numpy.complex128'>,) ... ok
test_base.TestLIL.test_add_dense(<type 'numpy.int64'>,) ... ok
test_base.TestLIL.test_add_dense(<type 'numpy.float64'>,) ... ok
test_base.TestLIL.test_add_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestLIL.test_add_sub ... ok
test_base.TestLIL.test_asfptype ... ok
test_base.TestLIL.test_astype ... ok
test_base.TestLIL.test_bad_index ... ok
test_base.TestLIL.test_bad_index_assign ... ok
test_base.TestLIL.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('int_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('dense', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('sparse', 'int_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('sparse', 'scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('sparse', 'dense', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('sparse', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('sparse', 'cplx_scalar', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.int64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.float64'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binary_ufunc_overrides('cplx_scalar', 'sparse', <type 'numpy.complex128'>) ... SKIP: Skipping test: check: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_binop_custom_type ... ok
test_base.TestLIL.test_bool(<type 'numpy.int64'>,) ... ok
test_base.TestLIL.test_bool(<type 'numpy.uint64'>,) ... ok
test_base.TestLIL.test_bool(<type 'numpy.int64'>,) ... ok
test_base.TestLIL.test_bool(<type 'numpy.uint8'>,) ... ok
test_base.TestLIL.test_bool(<type 'numpy.int8'>,) ... ok
test_base.TestLIL.test_bool(<type 'numpy.bool_'>,) ... ok
test_base.TestLIL.test_bool(<type 'numpy.float32'>,) ... ok
test_base.TestLIL.test_bool(<type 'numpy.uint16'>,) ... ok
test_base.TestLIL.test_bool(<type 'numpy.complex64'>,) ... ok
test_base.TestLIL.test_bool(<type 'numpy.int16'>,) ... ok
test_base.TestLIL.test_bool(<type 'numpy.float64'>,) ... ok
test_base.TestLIL.test_bool(<type 'numpy.complex128'>,) ... ok
test_base.TestLIL.test_bool(<type 'numpy.uint32'>,) ... ok
test_base.TestLIL.test_bool(<type 'numpy.int32'>,) ... ok
test_base.TestLIL.test_bool(<type 'numpy.complex256'>,) ... ok
test_base.TestLIL.test_bool(<type 'numpy.float128'>,) ... ok
test_base.TestLIL.test_bool_rollover ... ok
test_base.TestLIL.test_copy ... ok
test_base.TestLIL.test_count_nonzero ... ok
test_base.TestLIL.test_diagonal ... ok
test_base.TestLIL.test_dot ... ok
test_base.TestLIL.test_dtype_preservation ... ok
test_base.TestLIL.test_elementwise_divide ... ok
test_base.TestLIL.test_elementwise_multiply ... ok
test_base.TestLIL.test_elementwise_multiply_broadcast ... ok
test_base.TestLIL.test_elementwise_power ... ok
test_base.TestLIL.test_ellipsis_slicing ... ok
test_base.TestLIL.test_empty ... ok
test_base.TestLIL.test_empty_arithmetic ... ok
test_base.TestLIL.test_eq(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_eq(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_eq(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_eq(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_eq(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_eq(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_eq(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_eq(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_eq(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_eq(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_eq(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_eq(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_eq(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_eq(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_eq(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_eq(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_expm ... ok
test_base.TestLIL.test_fancy_assign_empty ... ok
test_base.TestLIL.test_fancy_assign_list ... ok
test_base.TestLIL.test_fancy_assign_ndarray ... ok
test_base.TestLIL.test_fancy_assign_slice ... ok
test_base.TestLIL.test_fancy_assignment_dtypes(dtype('bool'),) ... ok
test_base.TestLIL.test_fancy_assignment_dtypes(dtype('int8'),) ... ok
test_base.TestLIL.test_fancy_assignment_dtypes(dtype('uint8'),) ... ok
test_base.TestLIL.test_fancy_assignment_dtypes(dtype('int16'),) ... ok
test_base.TestLIL.test_fancy_assignment_dtypes(dtype('uint16'),) ... ok
test_base.TestLIL.test_fancy_assignment_dtypes(dtype('int32'),) ... ok
test_base.TestLIL.test_fancy_assignment_dtypes(dtype('uint32'),) ... ok
test_base.TestLIL.test_fancy_assignment_dtypes(dtype('int64'),) ... ok
test_base.TestLIL.test_fancy_assignment_dtypes(dtype('uint64'),) ... ok
test_base.TestLIL.test_fancy_assignment_dtypes(dtype('float32'),) ... ok
test_base.TestLIL.test_fancy_assignment_dtypes(dtype('float64'),) ... ok
test_base.TestLIL.test_fancy_assignment_dtypes(dtype('float128'),) ... ok
test_base.TestLIL.test_fancy_assignment_dtypes(dtype('complex64'),) ... ok
test_base.TestLIL.test_fancy_assignment_dtypes(dtype('complex128'),) ... ok
test_base.TestLIL.test_fancy_assignment_dtypes(dtype('complex256'),) ... ok
test_base.TestLIL.test_fancy_indexing ... ok
test_base.TestLIL.test_fancy_indexing_boolean ... ok
test_base.TestLIL.test_fancy_indexing_empty ... ok
test_base.TestLIL.test_fancy_indexing_lil ... ok
test_base.TestLIL.test_fancy_indexing_multidim_set ... ok
test_base.TestLIL.test_fancy_indexing_ndarray ... ok
test_base.TestLIL.test_fancy_indexing_randomized ... ok
test_base.TestLIL.test_fancy_indexing_regression_3087 ... ok
test_base.TestLIL.test_fancy_indexing_seq_assign ... ok
test_base.TestLIL.test_fancy_indexing_set ... ok
test_base.TestLIL.test_fancy_indexing_sparse_boolean ... ok
test_base.TestLIL.test_from_array ... ok
test_base.TestLIL.test_from_list ... ok
test_base.TestLIL.test_from_matrix ... ok
test_base.TestLIL.test_from_sparse ... ok
test_base.TestLIL.test_ge(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ge(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ge(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ge(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ge(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ge(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ge(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ge(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ge(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ge(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ge(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ge(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ge(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ge(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ge(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ge(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_get_horiz_slice ... ok
test_base.TestLIL.test_get_slices ... ok
test_base.TestLIL.test_get_vert_slice ... ok
test_base.TestLIL.test_getcol ... ok
test_base.TestLIL.test_getelement(dtype('bool'),) ... ok
test_base.TestLIL.test_getelement(dtype('int8'),) ... ok
test_base.TestLIL.test_getelement(dtype('uint8'),) ... ok
test_base.TestLIL.test_getelement(dtype('int16'),) ... ok
test_base.TestLIL.test_getelement(dtype('uint16'),) ... ok
test_base.TestLIL.test_getelement(dtype('int32'),) ... ok
test_base.TestLIL.test_getelement(dtype('uint32'),) ... ok
test_base.TestLIL.test_getelement(dtype('int64'),) ... ok
test_base.TestLIL.test_getelement(dtype('uint64'),) ... ok
test_base.TestLIL.test_getelement(dtype('float32'),) ... ok
test_base.TestLIL.test_getelement(dtype('float64'),) ... ok
test_base.TestLIL.test_getelement(dtype('float128'),) ... ok
test_base.TestLIL.test_getelement(dtype('complex64'),) ... ok
test_base.TestLIL.test_getelement(dtype('complex128'),) ... ok
test_base.TestLIL.test_getelement(dtype('complex256'),) ... ok
test_base.TestLIL.test_getnnz_axis ... ok
test_base.TestLIL.test_getrow ... ok
test_base.TestLIL.test_gt(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_gt(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_gt(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_gt(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_gt(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_gt(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_gt(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_gt(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_gt(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_gt(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_gt(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_gt(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_gt(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_gt(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_gt(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_gt(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_idiv_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestLIL.test_idiv_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestLIL.test_imag ... ok
test_base.TestLIL.test_imul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestLIL.test_imul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestLIL.test_imul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestLIL.test_index_scalar_assign ... ok
test_base.TestLIL.test_inplace_dense ... ok
test_base.TestLIL.test_inplace_ops ... ok
test_base.TestLIL.test_inplace_success ... ok
test_base.TestLIL.test_inv(<type 'float'>,) ... ok
test_base.TestLIL.test_invalid_shapes ... ok
test_base.TestLIL.test_iterator ... ok
test_base.TestLIL.test_le(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_le(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_le(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_le(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_le(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_le(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_le(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_le(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_le(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_le(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_le(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_le(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_le(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_le(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_le(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_le(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_lil_from_csr ... ok
test_base.TestLIL.test_lil_iteration ... ok
test_base.TestLIL.test_lil_multiply_removal ... ok
test_base.TestLIL.test_lt(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_lt(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_lt(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_lt(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_lt(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_lt(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_lt(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_lt(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_lt(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_lt(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_lt(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_lt(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_lt(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_lt(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_lt(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_lt(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_matmat_dense ... ok
test_base.TestLIL.test_matmat_sparse ... ok
test_base.TestLIL.test_matmul ... SKIP: matmul is only tested in Python 3.5+
test_base.TestLIL.test_matvec ... ok
test_base.TestLIL.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('int64'), dtype('int8'), 'scalar2') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('int64'), dtype('int8'), 'dense') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('int64'), dtype('int8'), 'sparse') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('int64'), dtype('float64'), 'scalar2') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('int64'), dtype('float64'), 'dense') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('int64'), dtype('float64'), 'sparse') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'dense') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('int64'), dtype('complex128'), 'sparse') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('float64'), dtype('int8'), 'scalar2') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('float64'), dtype('int8'), 'dense') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('float64'), dtype('int8'), 'sparse') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('float64'), dtype('float64'), 'scalar2') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('float64'), dtype('float64'), 'dense') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('float64'), dtype('float64'), 'sparse') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'scalar2') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'dense') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('float64'), dtype('complex128'), 'sparse') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'scalar2') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'dense') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('complex128'), dtype('int8'), 'sparse') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'scalar2') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'dense') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('complex128'), dtype('float64'), 'sparse') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'scalar2') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'dense') ... ok
test_base.TestLIL.test_maximum_minimum(dtype('complex128'), dtype('complex128'), 'sparse') ... ok
test_base.TestLIL.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestLIL.test_mean(<type 'numpy.uint64'>,) ... ok
test_base.TestLIL.test_mean(<type 'numpy.int64'>,) ... ok
test_base.TestLIL.test_mean(<type 'numpy.uint8'>,) ... ok
test_base.TestLIL.test_mean(<type 'numpy.int8'>,) ... ok
test_base.TestLIL.test_mean(<type 'numpy.bool_'>,) ... ok
test_base.TestLIL.test_mean(<type 'numpy.float32'>,) ... ok
test_base.TestLIL.test_mean(<type 'numpy.uint16'>,) ... ok
test_base.TestLIL.test_mean(<type 'numpy.complex64'>,) ... ok
test_base.TestLIL.test_mean(<type 'numpy.int16'>,) ... ok
test_base.TestLIL.test_mean(<type 'numpy.float64'>,) ... ok
test_base.TestLIL.test_mean(<type 'numpy.complex128'>,) ... ok
test_base.TestLIL.test_mean(<type 'numpy.uint32'>,) ... ok
test_base.TestLIL.test_mean(<type 'numpy.int32'>,) ... ok
test_base.TestLIL.test_mean(<type 'numpy.complex256'>,) ... ok
test_base.TestLIL.test_mean(<type 'numpy.float128'>,) ... ok
test_base.TestLIL.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestLIL.test_mean_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestLIL.test_mean_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestLIL.test_mean_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestLIL.test_mean_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestLIL.test_mean_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestLIL.test_mean_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestLIL.test_mean_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestLIL.test_mean_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestLIL.test_mean_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestLIL.test_mean_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestLIL.test_mean_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestLIL.test_mean_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestLIL.test_mean_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestLIL.test_mean_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestLIL.test_mean_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestLIL.test_mean_invalid_params ... ok
test_base.TestLIL.test_mean_out ... ok
test_base.TestLIL.test_minmax ... SKIP: feature not implemented
test_base.TestLIL.test_minmax_axis ... SKIP: feature not implemented
test_base.TestLIL.test_minmax_invalid_params ... SKIP: feature not implemented
test_base.TestLIL.test_mu ... ok
test_base.TestLIL.test_mul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestLIL.test_mul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestLIL.test_mul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestLIL.test_multiple_ellipsis_slicing ... SKIP: Skipping test: test_multiple_ellipsis_slicing: Test skipped due to test condition
test_base.TestLIL.test_ne(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ne(<type 'numpy.uint64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ne(<type 'numpy.int64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ne(<type 'numpy.uint8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ne(<type 'numpy.int8'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ne(<type 'numpy.bool_'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ne(<type 'numpy.float32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ne(<type 'numpy.uint16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ne(<type 'numpy.complex64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ne(<type 'numpy.int16'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ne(<type 'numpy.float64'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ne(<type 'numpy.complex128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ne(<type 'numpy.uint32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ne(<type 'numpy.int32'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ne(<type 'numpy.complex256'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_ne(<type 'numpy.float128'>,) ... SKIP: Skipping test: check: Bool comparisons only implemented for BSR, CSC, and CSR.
test_base.TestLIL.test_neg ... ok
test_base.TestLIL.test_negative_index_assignment(dtype('int64'),) ... ok
test_base.TestLIL.test_negative_index_assignment(dtype('float64'),) ... ok
test_base.TestLIL.test_negative_index_assignment(dtype('complex128'),) ... ok
test_base.TestLIL.test_non_unit_stride_2d_indexing ... ok
test_base.TestLIL.test_nonzero ... ok
test_base.TestLIL.test_numpy_mean ... ok
test_base.TestLIL.test_numpy_minmax ... ok
test_base.TestLIL.test_numpy_nonzero ... ok
test_base.TestLIL.test_numpy_sum ... ok
test_base.TestLIL.test_point_wise_multiply ... ok
test_base.TestLIL.test_pow ... ok
test_base.TestLIL.test_radd(<type 'numpy.int64'>,) ... ok
test_base.TestLIL.test_radd(<type 'numpy.float64'>,) ... ok
test_base.TestLIL.test_radd(<type 'numpy.complex128'>,) ... ok
test_base.TestLIL.test_real ... ok
test_base.TestLIL.test_repr ... ok
test_base.TestLIL.test_reshape ... ok
test_base.TestLIL.test_rmatvec ... ok
test_base.TestLIL.test_rmul_scalar(<type 'numpy.int64'>,) ... ok
test_base.TestLIL.test_rmul_scalar(<type 'numpy.float64'>,) ... ok
test_base.TestLIL.test_rmul_scalar(<type 'numpy.complex128'>,) ... ok
test_base.TestLIL.test_rsub(<type 'numpy.int64'>,) ... ok
test_base.TestLIL.test_rsub(<type 'numpy.float64'>,) ... ok
test_base.TestLIL.test_rsub(<type 'numpy.complex128'>,) ... ok
test_base.TestLIL.test_scalar_assign_2 ... ok
test_base.TestLIL.test_scalar_mul ... ok
test_base.TestLIL.test_self_self_assignment ... ok
test_base.TestLIL.test_sequence_assignment ... ok
test_base.TestLIL.test_set_slice ... ok
test_base.TestLIL.test_setdiag ... ok
test_base.TestLIL.test_setelement(dtype('bool'),) ... ok
test_base.TestLIL.test_setelement(dtype('int8'),) ... ok
test_base.TestLIL.test_setelement(dtype('uint8'),) ... ok
test_base.TestLIL.test_setelement(dtype('int16'),) ... ok
test_base.TestLIL.test_setelement(dtype('uint16'),) ... ok
test_base.TestLIL.test_setelement(dtype('int32'),) ... ok
test_base.TestLIL.test_setelement(dtype('uint32'),) ... ok
test_base.TestLIL.test_setelement(dtype('int64'),) ... ok
test_base.TestLIL.test_setelement(dtype('uint64'),) ... ok
test_base.TestLIL.test_setelement(dtype('float32'),) ... ok
test_base.TestLIL.test_setelement(dtype('float64'),) ... ok
test_base.TestLIL.test_setelement(dtype('float128'),) ... ok
test_base.TestLIL.test_setelement(dtype('complex64'),) ... ok
test_base.TestLIL.test_setelement(dtype('complex128'),) ... ok
test_base.TestLIL.test_setelement(dtype('complex256'),) ... ok
test_base.TestLIL.test_size_zero_conversions ... ok
test_base.TestLIL.test_size_zero_matrix_arithmetic ... ok
test_base.TestLIL.test_slice_assign_2 ... ok
test_base.TestLIL.test_slice_assignment ... ok
test_base.TestLIL.test_slice_scalar_assign ... ok
test_base.TestLIL.test_slicing_2 ... ok
test_base.TestLIL.test_slicing_3(slice(None, 2, None),) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 2, None),) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, None),) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, 2),) ... ok
test_base.TestLIL.test_slicing_3(slice(8, 3, -1),) ... ok
test_base.TestLIL.test_slicing_3(slice(4, None, -2),) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 5, -1),) ... ok
test_base.TestLIL.test_slicing_3(0,) ... ok
test_base.TestLIL.test_slicing_3(1,) ... ok
test_base.TestLIL.test_slicing_3(slice(None, None, None),) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 5, None),) ... ok
test_base.TestLIL.test_slicing_3(-1,) ... ok
test_base.TestLIL.test_slicing_3(-2,) ... ok
test_base.TestLIL.test_slicing_3(-5,) ... ok
test_base.TestLIL.test_slicing_3(array(-1),) ... ok
test_base.TestLIL.test_slicing_3(-3,) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 2, None), slice(None, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 2, None), slice(1, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 2, None), slice(3, None, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 2, None), slice(3, None, 2)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 2, None), slice(8, 3, -1)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 2, None), slice(4, None, -2)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 2, None), slice(None, 5, -1)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 2, None), 0) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 2, None), 1) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 2, None), slice(None, None, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 2, None), slice(1, 5, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 2, None), -1) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 2, None), -2) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 2, None), -5) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 2, None), array(4)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 2, None), -3) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 2, None), slice(None, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 2, None), slice(1, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 2, None), slice(3, None, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 2, None), slice(3, None, 2)) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 2, None), slice(8, 3, -1)) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 2, None), slice(4, None, -2)) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 2, None), slice(None, 5, -1)) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 2, None), 0) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 2, None), 1) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 2, None), slice(None, None, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 2, None), slice(1, 5, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 2, None), -1) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 2, None), -2) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 2, None), -5) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 2, None), array(4)) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 2, None), -3) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, None), slice(None, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, None), slice(1, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, None), slice(3, None, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, None), slice(3, None, 2)) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, None), slice(8, 3, -1)) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, None), slice(4, None, -2)) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, None), slice(None, 5, -1)) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, None), 0) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, None), 1) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, None), slice(None, None, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, None), slice(1, 5, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, None), -1) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, None), -2) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, None), -5) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, None), array(4)) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, None), -3) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, 2), slice(None, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, 2), slice(1, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, 2), slice(3, None, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, 2), slice(3, None, 2)) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, 2), slice(8, 3, -1)) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, 2), slice(4, None, -2)) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, 2), slice(None, 5, -1)) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, 2), 0) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, 2), 1) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, 2), slice(None, None, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, 2), slice(1, 5, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, 2), -1) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, 2), -2) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, 2), -5) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, 2), array(4)) ... ok
test_base.TestLIL.test_slicing_3(slice(3, None, 2), -3) ... ok
test_base.TestLIL.test_slicing_3(slice(8, 3, -1), slice(None, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(8, 3, -1), slice(1, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(8, 3, -1), slice(3, None, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(8, 3, -1), slice(3, None, 2)) ... ok
test_base.TestLIL.test_slicing_3(slice(8, 3, -1), slice(8, 3, -1)) ... ok
test_base.TestLIL.test_slicing_3(slice(8, 3, -1), slice(4, None, -2)) ... ok
test_base.TestLIL.test_slicing_3(slice(8, 3, -1), slice(None, 5, -1)) ... ok
test_base.TestLIL.test_slicing_3(slice(8, 3, -1), 0) ... ok
test_base.TestLIL.test_slicing_3(slice(8, 3, -1), 1) ... ok
test_base.TestLIL.test_slicing_3(slice(8, 3, -1), slice(None, None, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(8, 3, -1), slice(1, 5, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(8, 3, -1), -1) ... ok
test_base.TestLIL.test_slicing_3(slice(8, 3, -1), -2) ... ok
test_base.TestLIL.test_slicing_3(slice(8, 3, -1), -5) ... ok
test_base.TestLIL.test_slicing_3(slice(8, 3, -1), array(4)) ... ok
test_base.TestLIL.test_slicing_3(slice(8, 3, -1), -3) ... ok
test_base.TestLIL.test_slicing_3(slice(4, None, -2), slice(None, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(4, None, -2), slice(1, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(4, None, -2), slice(3, None, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(4, None, -2), slice(3, None, 2)) ... ok
test_base.TestLIL.test_slicing_3(slice(4, None, -2), slice(8, 3, -1)) ... ok
test_base.TestLIL.test_slicing_3(slice(4, None, -2), slice(4, None, -2)) ... ok
test_base.TestLIL.test_slicing_3(slice(4, None, -2), slice(None, 5, -1)) ... ok
test_base.TestLIL.test_slicing_3(slice(4, None, -2), 0) ... ok
test_base.TestLIL.test_slicing_3(slice(4, None, -2), 1) ... ok
test_base.TestLIL.test_slicing_3(slice(4, None, -2), slice(None, None, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(4, None, -2), slice(1, 5, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(4, None, -2), -1) ... ok
test_base.TestLIL.test_slicing_3(slice(4, None, -2), -2) ... ok
test_base.TestLIL.test_slicing_3(slice(4, None, -2), -5) ... ok
test_base.TestLIL.test_slicing_3(slice(4, None, -2), array(4)) ... ok
test_base.TestLIL.test_slicing_3(slice(4, None, -2), -3) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 5, -1), slice(None, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 5, -1), slice(1, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 5, -1), slice(3, None, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 5, -1), slice(3, None, 2)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 5, -1), slice(8, 3, -1)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 5, -1), slice(4, None, -2)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 5, -1), slice(None, 5, -1)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 5, -1), 0) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 5, -1), 1) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 5, -1), slice(None, None, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 5, -1), slice(1, 5, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 5, -1), -1) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 5, -1), -2) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 5, -1), -5) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 5, -1), array(4)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, 5, -1), -3) ... ok
test_base.TestLIL.test_slicing_3(0, slice(None, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(0, slice(1, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(0, slice(3, None, None)) ... ok
test_base.TestLIL.test_slicing_3(0, slice(3, None, 2)) ... ok
test_base.TestLIL.test_slicing_3(0, slice(8, 3, -1)) ... ok
test_base.TestLIL.test_slicing_3(0, slice(4, None, -2)) ... ok
test_base.TestLIL.test_slicing_3(0, slice(None, 5, -1)) ... ok
test_base.TestLIL.test_slicing_3(0, 0) ... ok
test_base.TestLIL.test_slicing_3(0, 1) ... ok
test_base.TestLIL.test_slicing_3(0, slice(None, None, None)) ... ok
test_base.TestLIL.test_slicing_3(0, slice(1, 5, None)) ... ok
test_base.TestLIL.test_slicing_3(0, -1) ... ok
test_base.TestLIL.test_slicing_3(0, -2) ... ok
test_base.TestLIL.test_slicing_3(0, -5) ... ok
test_base.TestLIL.test_slicing_3(0, array(4)) ... ok
test_base.TestLIL.test_slicing_3(0, -3) ... ok
test_base.TestLIL.test_slicing_3(1, slice(None, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(1, slice(1, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(1, slice(3, None, None)) ... ok
test_base.TestLIL.test_slicing_3(1, slice(3, None, 2)) ... ok
test_base.TestLIL.test_slicing_3(1, slice(8, 3, -1)) ... ok
test_base.TestLIL.test_slicing_3(1, slice(4, None, -2)) ... ok
test_base.TestLIL.test_slicing_3(1, slice(None, 5, -1)) ... ok
test_base.TestLIL.test_slicing_3(1, 0) ... ok
test_base.TestLIL.test_slicing_3(1, 1) ... ok
test_base.TestLIL.test_slicing_3(1, slice(None, None, None)) ... ok
test_base.TestLIL.test_slicing_3(1, slice(1, 5, None)) ... ok
test_base.TestLIL.test_slicing_3(1, -1) ... ok
test_base.TestLIL.test_slicing_3(1, -2) ... ok
test_base.TestLIL.test_slicing_3(1, -5) ... ok
test_base.TestLIL.test_slicing_3(1, array(4)) ... ok
test_base.TestLIL.test_slicing_3(1, -3) ... ok
test_base.TestLIL.test_slicing_3(slice(None, None, None), slice(None, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, None, None), slice(1, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, None, None), slice(3, None, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, None, None), slice(3, None, 2)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, None, None), slice(8, 3, -1)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, None, None), slice(4, None, -2)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, None, None), slice(None, 5, -1)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, None, None), 0) ... ok
test_base.TestLIL.test_slicing_3(slice(None, None, None), 1) ... ok
test_base.TestLIL.test_slicing_3(slice(None, None, None), slice(None, None, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, None, None), slice(1, 5, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, None, None), -1) ... ok
test_base.TestLIL.test_slicing_3(slice(None, None, None), -2) ... ok
test_base.TestLIL.test_slicing_3(slice(None, None, None), -5) ... ok
test_base.TestLIL.test_slicing_3(slice(None, None, None), array(4)) ... ok
test_base.TestLIL.test_slicing_3(slice(None, None, None), -3) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 5, None), slice(None, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 5, None), slice(1, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 5, None), slice(3, None, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 5, None), slice(3, None, 2)) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 5, None), slice(8, 3, -1)) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 5, None), slice(4, None, -2)) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 5, None), slice(None, 5, -1)) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 5, None), 0) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 5, None), 1) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 5, None), slice(None, None, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 5, None), slice(1, 5, None)) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 5, None), -1) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 5, None), -2) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 5, None), -5) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 5, None), array(4)) ... ok
test_base.TestLIL.test_slicing_3(slice(1, 5, None), -3) ... ok
test_base.TestLIL.test_slicing_3(-1, slice(None, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(-1, slice(1, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(-1, slice(3, None, None)) ... ok
test_base.TestLIL.test_slicing_3(-1, slice(3, None, 2)) ... ok
test_base.TestLIL.test_slicing_3(-1, slice(8, 3, -1)) ... ok
test_base.TestLIL.test_slicing_3(-1, slice(4, None, -2)) ... ok
test_base.TestLIL.test_slicing_3(-1, slice(None, 5, -1)) ... ok
test_base.TestLIL.test_slicing_3(-1, 0) ... ok
test_base.TestLIL.test_slicing_3(-1, 1) ... ok
test_base.TestLIL.test_slicing_3(-1, slice(None, None, None)) ... ok
test_base.TestLIL.test_slicing_3(-1, slice(1, 5, None)) ... ok
test_base.TestLIL.test_slicing_3(-1, -1) ... ok
test_base.TestLIL.test_slicing_3(-1, -2) ... ok
test_base.TestLIL.test_slicing_3(-1, -5) ... ok
test_base.TestLIL.test_slicing_3(-1, array(4)) ... ok
test_base.TestLIL.test_slicing_3(-1, -3) ... ok
test_base.TestLIL.test_slicing_3(-2, slice(None, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(-2, slice(1, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(-2, slice(3, None, None)) ... ok
test_base.TestLIL.test_slicing_3(-2, slice(3, None, 2)) ... ok
test_base.TestLIL.test_slicing_3(-2, slice(8, 3, -1)) ... ok
test_base.TestLIL.test_slicing_3(-2, slice(4, None, -2)) ... ok
test_base.TestLIL.test_slicing_3(-2, slice(None, 5, -1)) ... ok
test_base.TestLIL.test_slicing_3(-2, 0) ... ok
test_base.TestLIL.test_slicing_3(-2, 1) ... ok
test_base.TestLIL.test_slicing_3(-2, slice(None, None, None)) ... ok
test_base.TestLIL.test_slicing_3(-2, slice(1, 5, None)) ... ok
test_base.TestLIL.test_slicing_3(-2, -1) ... ok
test_base.TestLIL.test_slicing_3(-2, -2) ... ok
test_base.TestLIL.test_slicing_3(-2, -5) ... ok
test_base.TestLIL.test_slicing_3(-2, array(4)) ... ok
test_base.TestLIL.test_slicing_3(-2, -3) ... ok
test_base.TestLIL.test_slicing_3(-5, slice(None, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(-5, slice(1, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(-5, slice(3, None, None)) ... ok
test_base.TestLIL.test_slicing_3(-5, slice(3, None, 2)) ... ok
test_base.TestLIL.test_slicing_3(-5, slice(8, 3, -1)) ... ok
test_base.TestLIL.test_slicing_3(-5, slice(4, None, -2)) ... ok
test_base.TestLIL.test_slicing_3(-5, slice(None, 5, -1)) ... ok
test_base.TestLIL.test_slicing_3(-5, 0) ... ok
test_base.TestLIL.test_slicing_3(-5, 1) ... ok
test_base.TestLIL.test_slicing_3(-5, slice(None, None, None)) ... ok
test_base.TestLIL.test_slicing_3(-5, slice(1, 5, None)) ... ok
test_base.TestLIL.test_slicing_3(-5, -1) ... ok
test_base.TestLIL.test_slicing_3(-5, -2) ... ok
test_base.TestLIL.test_slicing_3(-5, -5) ... ok
test_base.TestLIL.test_slicing_3(-5, array(4)) ... ok
test_base.TestLIL.test_slicing_3(-5, -3) ... ok
test_base.TestLIL.test_slicing_3(array(4), slice(None, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(array(4), slice(1, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(array(4), slice(3, None, None)) ... ok
test_base.TestLIL.test_slicing_3(array(4), slice(3, None, 2)) ... ok
test_base.TestLIL.test_slicing_3(array(4), slice(8, 3, -1)) ... ok
test_base.TestLIL.test_slicing_3(array(4), slice(4, None, -2)) ... ok
test_base.TestLIL.test_slicing_3(array(4), slice(None, 5, -1)) ... ok
test_base.TestLIL.test_slicing_3(array(4), 0) ... ok
test_base.TestLIL.test_slicing_3(array(4), 1) ... ok
test_base.TestLIL.test_slicing_3(array(4), slice(None, None, None)) ... ok
test_base.TestLIL.test_slicing_3(array(4), slice(1, 5, None)) ... ok
test_base.TestLIL.test_slicing_3(array(4), -1) ... ok
test_base.TestLIL.test_slicing_3(array(4), -2) ... ok
test_base.TestLIL.test_slicing_3(array(4), -5) ... ok
test_base.TestLIL.test_slicing_3(array(4), array(4)) ... ok
test_base.TestLIL.test_slicing_3(array(4), -3) ... ok
test_base.TestLIL.test_slicing_3(-3, slice(None, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(-3, slice(1, 2, None)) ... ok
test_base.TestLIL.test_slicing_3(-3, slice(3, None, None)) ... ok
test_base.TestLIL.test_slicing_3(-3, slice(3, None, 2)) ... ok
test_base.TestLIL.test_slicing_3(-3, slice(8, 3, -1)) ... ok
test_base.TestLIL.test_slicing_3(-3, slice(4, None, -2)) ... ok
test_base.TestLIL.test_slicing_3(-3, slice(None, 5, -1)) ... ok
test_base.TestLIL.test_slicing_3(-3, 0) ... ok
test_base.TestLIL.test_slicing_3(-3, 1) ... ok
test_base.TestLIL.test_slicing_3(-3, slice(None, None, None)) ... ok
test_base.TestLIL.test_slicing_3(-3, slice(1, 5, None)) ... ok
test_base.TestLIL.test_slicing_3(-3, -1) ... ok
test_base.TestLIL.test_slicing_3(-3, -2) ... ok
test_base.TestLIL.test_slicing_3(-3, -5) ... ok
test_base.TestLIL.test_slicing_3(-3, array(4)) ... ok
test_base.TestLIL.test_slicing_3(-3, -3) ... ok
test_base.TestLIL.test_small_multiplication ... ok
test_base.TestLIL.test_solve ... ok
test_base.TestLIL.test_sparse_format_conversions ... ok
test_base.TestLIL.test_sparsity_modifying_assignment ... ok
test_base.TestLIL.test_str ... ok
test_base.TestLIL.test_sub(<type 'numpy.int64'>,) ... ok
test_base.TestLIL.test_sub(<type 'numpy.float64'>,) ... ok
test_base.TestLIL.test_sub(<type 'numpy.complex128'>,) ... ok
test_base.TestLIL.test_sub_dense(<type 'numpy.int64'>,) ... ok
test_base.TestLIL.test_sub_dense(<type 'numpy.float64'>,) ... ok
test_base.TestLIL.test_sub_dense(<type 'numpy.complex128'>,) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestLIL.test_sum(<type 'numpy.uint64'>, 0) ... ok
test_base.TestLIL.test_sum(<type 'numpy.uint64'>, 1) ... ok
test_base.TestLIL.test_sum(<type 'numpy.uint64'>, 2) ... ok
test_base.TestLIL.test_sum(<type 'numpy.uint64'>, 3) ... ok
test_base.TestLIL.test_sum(<type 'numpy.uint64'>, 4) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int64'>, 0) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int64'>, 1) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int64'>, 2) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int64'>, 3) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int64'>, 4) ... ok
test_base.TestLIL.test_sum(<type 'numpy.uint8'>, 0) ... ok
test_base.TestLIL.test_sum(<type 'numpy.uint8'>, 1) ... ok
test_base.TestLIL.test_sum(<type 'numpy.uint8'>, 2) ... ok
test_base.TestLIL.test_sum(<type 'numpy.uint8'>, 3) ... ok
test_base.TestLIL.test_sum(<type 'numpy.uint8'>, 4) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int8'>, 0) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int8'>, 1) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int8'>, 2) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int8'>, 3) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int8'>, 4) ... ok
test_base.TestLIL.test_sum(<type 'numpy.bool_'>, 0) ... ok
test_base.TestLIL.test_sum(<type 'numpy.bool_'>, 1) ... ok
test_base.TestLIL.test_sum(<type 'numpy.bool_'>, 2) ... ok
test_base.TestLIL.test_sum(<type 'numpy.bool_'>, 3) ... ok
test_base.TestLIL.test_sum(<type 'numpy.bool_'>, 4) ... ok
test_base.TestLIL.test_sum(<type 'numpy.float32'>, 0) ... ok
test_base.TestLIL.test_sum(<type 'numpy.float32'>, 1) ... ok
test_base.TestLIL.test_sum(<type 'numpy.float32'>, 2) ... ok
test_base.TestLIL.test_sum(<type 'numpy.float32'>, 3) ... ok
test_base.TestLIL.test_sum(<type 'numpy.float32'>, 4) ... ok
test_base.TestLIL.test_sum(<type 'numpy.uint16'>, 0) ... ok
test_base.TestLIL.test_sum(<type 'numpy.uint16'>, 1) ... ok
test_base.TestLIL.test_sum(<type 'numpy.uint16'>, 2) ... ok
test_base.TestLIL.test_sum(<type 'numpy.uint16'>, 3) ... ok
test_base.TestLIL.test_sum(<type 'numpy.uint16'>, 4) ... ok
test_base.TestLIL.test_sum(<type 'numpy.complex64'>, 0) ... ok
test_base.TestLIL.test_sum(<type 'numpy.complex64'>, 1) ... ok
test_base.TestLIL.test_sum(<type 'numpy.complex64'>, 2) ... ok
test_base.TestLIL.test_sum(<type 'numpy.complex64'>, 3) ... ok
test_base.TestLIL.test_sum(<type 'numpy.complex64'>, 4) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int16'>, 0) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int16'>, 1) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int16'>, 2) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int16'>, 3) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int16'>, 4) ... ok
test_base.TestLIL.test_sum(<type 'numpy.float64'>, 0) ... ok
test_base.TestLIL.test_sum(<type 'numpy.float64'>, 1) ... ok
test_base.TestLIL.test_sum(<type 'numpy.float64'>, 2) ... ok
test_base.TestLIL.test_sum(<type 'numpy.float64'>, 3) ... ok
test_base.TestLIL.test_sum(<type 'numpy.float64'>, 4) ... ok
test_base.TestLIL.test_sum(<type 'numpy.complex128'>, 0) ... ok
test_base.TestLIL.test_sum(<type 'numpy.complex128'>, 1) ... ok
test_base.TestLIL.test_sum(<type 'numpy.complex128'>, 2) ... ok
test_base.TestLIL.test_sum(<type 'numpy.complex128'>, 3) ... ok
test_base.TestLIL.test_sum(<type 'numpy.complex128'>, 4) ... ok
test_base.TestLIL.test_sum(<type 'numpy.uint32'>, 0) ... ok
test_base.TestLIL.test_sum(<type 'numpy.uint32'>, 1) ... ok
test_base.TestLIL.test_sum(<type 'numpy.uint32'>, 2) ... ok
test_base.TestLIL.test_sum(<type 'numpy.uint32'>, 3) ... ok
test_base.TestLIL.test_sum(<type 'numpy.uint32'>, 4) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int32'>, 0) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int32'>, 1) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int32'>, 2) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int32'>, 3) ... ok
test_base.TestLIL.test_sum(<type 'numpy.int32'>, 4) ... ok
test_base.TestLIL.test_sum(<type 'numpy.complex256'>, 0) ... ok
test_base.TestLIL.test_sum(<type 'numpy.complex256'>, 1) ... ok
test_base.TestLIL.test_sum(<type 'numpy.complex256'>, 2) ... ok
test_base.TestLIL.test_sum(<type 'numpy.complex256'>, 3) ... ok
test_base.TestLIL.test_sum(<type 'numpy.complex256'>, 4) ... ok
test_base.TestLIL.test_sum(<type 'numpy.float128'>, 0) ... ok
test_base.TestLIL.test_sum(<type 'numpy.float128'>, 1) ... ok
test_base.TestLIL.test_sum(<type 'numpy.float128'>, 2) ... ok
test_base.TestLIL.test_sum(<type 'numpy.float128'>, 3) ... ok
test_base.TestLIL.test_sum(<type 'numpy.float128'>, 4) ... ok
test_base.TestLIL.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestLIL.test_sum_dtype(<type 'numpy.uint64'>,) ... ok
test_base.TestLIL.test_sum_dtype(<type 'numpy.int64'>,) ... ok
test_base.TestLIL.test_sum_dtype(<type 'numpy.uint8'>,) ... ok
test_base.TestLIL.test_sum_dtype(<type 'numpy.int8'>,) ... ok
test_base.TestLIL.test_sum_dtype(<type 'numpy.bool_'>,) ... ok
test_base.TestLIL.test_sum_dtype(<type 'numpy.float32'>,) ... ok
test_base.TestLIL.test_sum_dtype(<type 'numpy.uint16'>,) ... ok
test_base.TestLIL.test_sum_dtype(<type 'numpy.complex64'>,) ... ok
test_base.TestLIL.test_sum_dtype(<type 'numpy.int16'>,) ... ok
test_base.TestLIL.test_sum_dtype(<type 'numpy.float64'>,) ... ok
test_base.TestLIL.test_sum_dtype(<type 'numpy.complex128'>,) ... ok
test_base.TestLIL.test_sum_dtype(<type 'numpy.uint32'>,) ... ok
test_base.TestLIL.test_sum_dtype(<type 'numpy.int32'>,) ... ok
test_base.TestLIL.test_sum_dtype(<type 'numpy.complex256'>,) ... ok
test_base.TestLIL.test_sum_dtype(<type 'numpy.float128'>,) ... ok
test_base.TestLIL.test_sum_invalid_params ... ok
test_base.TestLIL.test_sum_out ... ok
test_base.TestLIL.test_toarray ... ok
test_base.TestLIL.test_tobsr ... ok
test_base.TestLIL.test_todense ... ok
test_base.TestLIL.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.uint64'>, 0) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.uint64'>, 1) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.int64'>, 0) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.int64'>, 1) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.uint8'>, 0) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.uint8'>, 1) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.int8'>, 0) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.int8'>, 1) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.bool_'>, 0) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.bool_'>, 1) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.float32'>, 0) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.float32'>, 1) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.uint16'>, 0) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.uint16'>, 1) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.complex64'>, 0) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.complex64'>, 1) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.int16'>, 0) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.int16'>, 1) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.float64'>, 0) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.float64'>, 1) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.complex128'>, 0) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.complex128'>, 1) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.uint32'>, 0) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.uint32'>, 1) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.int32'>, 0) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.int32'>, 1) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.complex256'>, 0) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.complex256'>, 1) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.float128'>, 0) ... ok
test_base.TestLIL.test_transpose(<type 'numpy.float128'>, 1) ... ok
test_base.TestLIL.test_ufunc_object_array ... SKIP: Skipping test: test_ufunc_object_array: feature requires Numpy with __numpy_ufunc__
test_base.TestLIL.test_unary_ufunc_overrides('sin',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestLIL.test_unary_ufunc_overrides('tan',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestLIL.test_unary_ufunc_overrides('arcsin',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestLIL.test_unary_ufunc_overrides('arctan',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestLIL.test_unary_ufunc_overrides('sinh',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestLIL.test_unary_ufunc_overrides('tanh',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestLIL.test_unary_ufunc_overrides('arcsinh',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestLIL.test_unary_ufunc_overrides('arctanh',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestLIL.test_unary_ufunc_overrides('rint',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestLIL.test_unary_ufunc_overrides('sign',) ... SKIP: sign conflicts with comparison op support on Numpy without __numpy_ufunc__
test_base.TestLIL.test_unary_ufunc_overrides('expm1',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestLIL.test_unary_ufunc_overrides('log1p',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestLIL.test_unary_ufunc_overrides('deg2rad',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestLIL.test_unary_ufunc_overrides('rad2deg',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestLIL.test_unary_ufunc_overrides('floor',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestLIL.test_unary_ufunc_overrides('ceil',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestLIL.test_unary_ufunc_overrides('trunc',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestLIL.test_unary_ufunc_overrides('sqrt',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
test_base.TestLIL.test_unary_ufunc_overrides('abs',) ... SKIP: Unary ops not implemented for dok/lil with Numpy without __numpy_ufunc__
Construct a base class, optionally converting some of the tests in ... ok
block_diag with one matrix ... ok
basic test for block_diag ... ok
block_diag with scalar and 1d arguments ... ok
test_bmat (test_construct.TestConstructUtils) ... ok
test_diags (test_construct.TestConstructUtils) ... ok
test_diags_bad (test_construct.TestConstructUtils) ... ok
test_diags_default (test_construct.TestConstructUtils) ... ok
test_diags_default_bad (test_construct.TestConstructUtils) ... ok
test_diags_dtype (test_construct.TestConstructUtils) ... ok
test_diags_one_diagonal (test_construct.TestConstructUtils) ... ok
test_diags_vs_diag (test_construct.TestConstructUtils) ... ok
test_eye (test_construct.TestConstructUtils) ... ok
test_eye_one (test_construct.TestConstructUtils) ... ok
test_hstack (test_construct.TestConstructUtils) ... ok
test_identity (test_construct.TestConstructUtils) ... ok
test_kron (test_construct.TestConstructUtils) ... ok
test_kronsum (test_construct.TestConstructUtils) ... ok
test_rand (test_construct.TestConstructUtils) ... ok
test_randn (test_construct.TestConstructUtils) ... ok
test_random_accept_str_dtype (test_construct.TestConstructUtils) ... ok
test_random_sampling (test_construct.TestConstructUtils) ... ok
test_spdiags (test_construct.TestConstructUtils) ... ok
test_vstack (test_construct.TestConstructUtils) ... ok
test_csc.test_csc_getrow ... ok
test_csc.test_csc_getcol ... ok
test_csr.test_csr_rowslice(0, slice(None, None, None), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(0, slice(None, None, -1), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(0, slice(1, -2, 2), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(0, slice(-2, 1, -2), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(1, slice(None, None, None), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(1, slice(None, None, -1), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(1, slice(1, -2, 2), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(1, slice(-2, 1, -2), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(2, slice(None, None, None), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(2, slice(None, None, -1), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(2, slice(1, -2, 2), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(2, slice(-2, 1, -2), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(3, slice(None, None, None), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(3, slice(None, None, -1), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(3, slice(1, -2, 2), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(3, slice(-2, 1, -2), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(4, slice(None, None, None), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(4, slice(None, None, -1), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(4, slice(1, -2, 2), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(4, slice(-2, 1, -2), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(5, slice(None, None, None), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(5, slice(None, None, -1), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(5, slice(1, -2, 2), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(5, slice(-2, 1, -2), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(6, slice(None, None, None), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(6, slice(None, None, -1), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(6, slice(1, -2, 2), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(6, slice(-2, 1, -2), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(7, slice(None, None, None), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(7, slice(None, None, -1), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(7, slice(1, -2, 2), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(7, slice(-2, 1, -2), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(8, slice(None, None, None), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(8, slice(None, None, -1), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(8, slice(1, -2, 2), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(8, slice(-2, 1, -2), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(9, slice(None, None, None), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(9, slice(None, None, -1), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(9, slice(1, -2, 2), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_rowslice(9, slice(-2, 1, -2), array([[ 0.5488135 ,  0.        ,  0.60276338,  0.54488318,  0.4236548 , ... ok
test_csr.test_csr_getrow ... ok
test_csr.test_csr_getcol ... ok
test_tril (test_extract.TestExtract) ... ok
test_triu (test_extract.TestExtract) ... ok
test_sparsetools.TestInt32Overflow.test_bsr_1_block('matmat',) ... SKIP: very slow test; set environment variable SCIPY_XSLOW=1 to run it
test_sparsetools.TestInt32Overflow.test_bsr_1_block('matvecs',) ... SKIP: very slow test; set environment variable SCIPY_XSLOW=1 to run it
test_sparsetools.TestInt32Overflow.test_bsr_1_block('matvec',) ... ok
test_sparsetools.TestInt32Overflow.test_bsr_1_block('diagonal',) ... ok
test_sparsetools.TestInt32Overflow.test_bsr_1_block('sort_indices',) ... ok
test_sparsetools.TestInt32Overflow.test_bsr_1_block('transpose',) ... SKIP: very slow test; set environment variable SCIPY_XSLOW=1 to run it
test_sparsetools.TestInt32Overflow.test_bsr_n_block('matmat',) ... SKIP: very slow test; set environment variable SCIPY_XSLOW=1 to run it
test_sparsetools.TestInt32Overflow.test_bsr_n_block('matvecs',) ... SKIP: very slow test; set environment variable SCIPY_XSLOW=1 to run it
test_sparsetools.TestInt32Overflow.test_bsr_n_block('matvec',) ... ok
test_sparsetools.TestInt32Overflow.test_bsr_n_block('diagonal',) ... ok
test_sparsetools.TestInt32Overflow.test_bsr_n_block('sort_indices',) ... ok
test_sparsetools.TestInt32Overflow.test_bsr_n_block('transpose',) ... SKIP: very slow test; set environment variable SCIPY_XSLOW=1 to run it
test_sparsetools.TestInt32Overflow.test_coo_todense ... ok
test_sparsetools.TestInt32Overflow.test_dia_matvec ... ok
test_sparsetools.TestInt32Overflow.test_matvecs ... ok
test_sparsetools.test_exception ... ok
test_sparsetools.test_threads ... ok
test_sparsetools.test_regression_std_vector_dtypes ... ok
test_sparsetools.test_csr_matmat_int64_overflow ... SKIP: Skipping test: test_csr_matmat_int64_overflow: 64-bit indices in sparse matrices not available
test_sparsetools.test_upcast ... ok
test_sparsetools.test_endianness ... ok
test_count_blocks (test_spfuncs.TestSparseFunctions) ... ok
test_estimate_blocksize (test_spfuncs.TestSparseFunctions) ... ok
test_scale_rows_and_cols (test_spfuncs.TestSparseFunctions) ... ok
test_getdtype (test_sputils.TestSparseUtils) ... ok
test_isdense (test_sputils.TestSparseUtils) ... ok
test_isintlike (test_sputils.TestSparseUtils) ... ok
test_ismatrix (test_sputils.TestSparseUtils) ... ok
test_isscalarlike (test_sputils.TestSparseUtils) ... ok
test_issequence (test_sputils.TestSparseUtils) ... ok
test_isshape (test_sputils.TestSparseUtils) ... ok
test_upcast (test_sputils.TestSparseUtils) ... ok
test_validateaxis (test_sputils.TestSparseUtils) ... ok
test__plotutils.TestPlotting.test_convex_hull ... SKIP: Skipping test: test_convex_hull: Matplotlib not available
test__plotutils.TestPlotting.test_delaunay ... SKIP: Skipping test: test_delaunay: Matplotlib not available
test__plotutils.TestPlotting.test_voronoi ... SKIP: Skipping test: test_voronoi: Matplotlib not available
test_procrustes (test__procrustes.ProcrustesTests) ... ok
test_procrustes2 (test__procrustes.ProcrustesTests) ... ok
test_procrustes_bad_number_of_dimensions (test__procrustes.ProcrustesTests) ... ok
test_procrustes_empty_rows_or_cols (test__procrustes.ProcrustesTests) ... ok
test_procrustes_no_variation (test__procrustes.ProcrustesTests) ... ok
test_procrustes_shape_mismatch (test__procrustes.ProcrustesTests) ... ok
test_cdist_braycurtis_random (test_distance.TestCdist) ... ok
test_cdist_canberra_random (test_distance.TestCdist) ... ok
test_cdist_chebychev_random (test_distance.TestCdist) ... ok
test_cdist_cityblock_random (test_distance.TestCdist) ... ok
test_cdist_correlation_random (test_distance.TestCdist) ... ok
test_cdist_cosine_random (test_distance.TestCdist) ... ok
test_cdist_dice_random (test_distance.TestCdist) ... ok
test_cdist_euclidean_random (test_distance.TestCdist) ... ok
test_cdist_euclidean_random_unicode (test_distance.TestCdist) ... ok
test_cdist_hamming_bool_random (test_distance.TestCdist) ... ok
test_cdist_hamming_double_random (test_distance.TestCdist) ... ok
test_cdist_jaccard_bool_random (test_distance.TestCdist) ... ok
test_cdist_jaccard_double_random (test_distance.TestCdist) ... ok
test_cdist_kulsinski_random (test_distance.TestCdist) ... ok
test_cdist_mahalanobis (test_distance.TestCdist) ... ok
test_cdist_mahalanobis_random (test_distance.TestCdist) ... ok
test_cdist_matching_random (test_distance.TestCdist) ... ok
test_cdist_minkowski_random_p1d23 (test_distance.TestCdist) ... ok
test_cdist_minkowski_random_p3d8 (test_distance.TestCdist) ... ok
test_cdist_minkowski_random_p4d6 (test_distance.TestCdist) ... ok
test_cdist_rogerstanimoto_random (test_distance.TestCdist) ... ok
test_cdist_russellrao_random (test_distance.TestCdist) ... ok
test_cdist_seuclidean_random (test_distance.TestCdist) ... ok
test_cdist_sokalmichener_random (test_distance.TestCdist) ... ok
test_cdist_sokalsneath_random (test_distance.TestCdist) ... ok
test_cdist_sqeuclidean_random (test_distance.TestCdist) ... ok
test_cdist_wminkowski_int_weights (test_distance.TestCdist) ... ok
test_cdist_wminkowski_random_p1d23 (test_distance.TestCdist) ... ok
test_cdist_wminkowski_random_p3d8 (test_distance.TestCdist) ... ok
test_cdist_wminkowski_random_p4d6 (test_distance.TestCdist) ... ok
test_cdist_yule_random (test_distance.TestCdist) ... ok
test_is_valid_dm_asymmetric_E (test_distance.TestIsValidDM) ... ok
test_is_valid_dm_asymmetric_F (test_distance.TestIsValidDM) ... ok
test_is_valid_dm_correct_1_by_1 (test_distance.TestIsValidDM) ... ok
test_is_valid_dm_correct_2_by_2 (test_distance.TestIsValidDM) ... ok
test_is_valid_dm_correct_3_by_3 (test_distance.TestIsValidDM) ... ok
test_is_valid_dm_correct_4_by_4 (test_distance.TestIsValidDM) ... ok
test_is_valid_dm_correct_5_by_5 (test_distance.TestIsValidDM) ... ok
test_is_valid_dm_improper_shape_1D_E (test_distance.TestIsValidDM) ... ok
test_is_valid_dm_improper_shape_1D_F (test_distance.TestIsValidDM) ... ok
test_is_valid_dm_improper_shape_3D_E (test_distance.TestIsValidDM) ... ok
test_is_valid_dm_improper_shape_3D_F (test_distance.TestIsValidDM) ... ok
test_is_valid_dm_int16_array_E (test_distance.TestIsValidDM) ... ok
test_is_valid_dm_int16_array_F (test_distance.TestIsValidDM) ... ok
test_is_valid_dm_nonzero_diagonal_E (test_distance.TestIsValidDM) ... ok
test_is_valid_dm_nonzero_diagonal_F (test_distance.TestIsValidDM) ... ok
test_is_valid_y_2_100 (test_distance.TestIsValidY) ... ok
test_is_valid_y_correct_2_by_2 (test_distance.TestIsValidY) ... ok
test_is_valid_y_correct_3_by_3 (test_distance.TestIsValidY) ... ok
test_is_valid_y_correct_4_by_4 (test_distance.TestIsValidY) ... ok
test_is_valid_y_correct_5_by_5 (test_distance.TestIsValidY) ... ok
test_is_valid_y_improper_shape_2D_E (test_distance.TestIsValidY) ... ok
test_is_valid_y_improper_shape_2D_F (test_distance.TestIsValidY) ... ok
test_is_valid_y_improper_shape_3D_E (test_distance.TestIsValidY) ... ok
test_is_valid_y_improper_shape_3D_F (test_distance.TestIsValidY) ... ok
test_is_valid_y_int16_array_E (test_distance.TestIsValidY) ... ok
test_is_valid_y_int16_array_F (test_distance.TestIsValidY) ... ok
test_num_obs_dm_0 (test_distance.TestNumObsDM) ... ok
test_num_obs_dm_1 (test_distance.TestNumObsDM) ... ok
test_num_obs_dm_2 (test_distance.TestNumObsDM) ... ok
test_num_obs_dm_3 (test_distance.TestNumObsDM) ... ok
test_num_obs_dm_4 (test_distance.TestNumObsDM) ... ok
test_num_obs_dm_multi_matrix (test_distance.TestNumObsDM) ... ok
test_num_obs_y_1 (test_distance.TestNumObsY) ... ok
test_num_obs_y_2 (test_distance.TestNumObsY) ... ok
test_num_obs_y_2_100 (test_distance.TestNumObsY) ... ok
test_num_obs_y_3 (test_distance.TestNumObsY) ... ok
test_num_obs_y_4 (test_distance.TestNumObsY) ... ok
test_num_obs_y_5_10 (test_distance.TestNumObsY) ... ok
test_num_obs_y_multi_matrix (test_distance.TestNumObsY) ... ok
test_pdist_canberra_match (test_distance.TestPdist) ... ok
test_pdist_canberra_ticket_711 (test_distance.TestPdist) ... ok
test_pdist_chebychev_iris (test_distance.TestPdist) ... ok
test_pdist_chebychev_iris_float32 (test_distance.TestPdist) ... ok
test_pdist_chebychev_iris_nonC (test_distance.TestPdist) ... ok
test_pdist_chebychev_random (test_distance.TestPdist) ... ok
test_pdist_chebychev_random_float32 (test_distance.TestPdist) ... ok
test_pdist_chebychev_random_nonC (test_distance.TestPdist) ... ok
test_pdist_cityblock_iris (test_distance.TestPdist) ... ok
test_pdist_cityblock_iris_float32 (test_distance.TestPdist) ... ok
test_pdist_cityblock_iris_nonC (test_distance.TestPdist) ... ok
test_pdist_cityblock_random (test_distance.TestPdist) ... ok
test_pdist_cityblock_random_float32 (test_distance.TestPdist) ... ok
test_pdist_cityblock_random_nonC (test_distance.TestPdist) ... ok
test_pdist_correlation_iris (test_distance.TestPdist) ... ok
test_pdist_correlation_iris_float32 (test_distance.TestPdist) ... ok
test_pdist_correlation_iris_nonC (test_distance.TestPdist) ... ok
test_pdist_correlation_random (test_distance.TestPdist) ... ok
test_pdist_correlation_random_float32 (test_distance.TestPdist) ... ok
test_pdist_correlation_random_nonC (test_distance.TestPdist) ... ok
test_pdist_cosine_bounds (test_distance.TestPdist) ... ok
test_pdist_cosine_iris (test_distance.TestPdist) ... ok
test_pdist_cosine_iris_float32 (test_distance.TestPdist) ... ok
test_pdist_cosine_iris_nonC (test_distance.TestPdist) ... ok
test_pdist_cosine_random (test_distance.TestPdist) ... ok
test_pdist_cosine_random_float32 (test_distance.TestPdist) ... ok
test_pdist_cosine_random_nonC (test_distance.TestPdist) ... ok
test_pdist_dhamming_random (test_distance.TestPdist) ... ok
test_pdist_dhamming_random_float32 (test_distance.TestPdist) ... ok
test_pdist_dhamming_random_nonC (test_distance.TestPdist) ... ok
test_pdist_dice_match (test_distance.TestPdist) ... ok
test_pdist_dice_mtica1 (test_distance.TestPdist) ... ok
test_pdist_dice_mtica2 (test_distance.TestPdist) ... ok
test_pdist_djaccard_random (test_distance.TestPdist) ... ok
test_pdist_djaccard_random_float32 (test_distance.TestPdist) ... ok
test_pdist_djaccard_random_nonC (test_distance.TestPdist) ... ok
test_pdist_euclidean_iris_double (test_distance.TestPdist) ... ok
test_pdist_euclidean_iris_float32 (test_distance.TestPdist) ... ok
test_pdist_euclidean_iris_nonC (test_distance.TestPdist) ... ok
test_pdist_euclidean_random (test_distance.TestPdist) ... ok
test_pdist_euclidean_random_float32 (test_distance.TestPdist) ... ok
test_pdist_euclidean_random_nonC (test_distance.TestPdist) ... ok
test_pdist_euclidean_random_u (test_distance.TestPdist) ... ok
test_pdist_hamming_random (test_distance.TestPdist) ... ok
test_pdist_hamming_random_float32 (test_distance.TestPdist) ... ok
test_pdist_hamming_random_nonC (test_distance.TestPdist) ... ok
test_pdist_jaccard_match (test_distance.TestPdist) ... ok
test_pdist_jaccard_mtica1 (test_distance.TestPdist) ... ok
test_pdist_jaccard_mtica2 (test_distance.TestPdist) ... ok
test_pdist_jaccard_random (test_distance.TestPdist) ... ok
test_pdist_jaccard_random_float32 (test_distance.TestPdist) ... ok
test_pdist_jaccard_random_nonC (test_distance.TestPdist) ... ok
test_pdist_kulsinski_match (test_distance.TestPdist) ... ok
test_pdist_mahalanobis (test_distance.TestPdist) ... ok
test_pdist_matching_match (test_distance.TestPdist) ... ok
test_pdist_matching_mtica1 (test_distance.TestPdist) ... ok
test_pdist_matching_mtica2 (test_distance.TestPdist) ... ok
test_pdist_minkowski_3_2_iris (test_distance.TestPdist) ... ok
test_pdist_minkowski_3_2_iris_float32 (test_distance.TestPdist) ... ok
test_pdist_minkowski_3_2_iris_nonC (test_distance.TestPdist) ... ok
test_pdist_minkowski_5_8_iris (test_distance.TestPdist) ... ok
test_pdist_minkowski_5_8_iris_float32 (test_distance.TestPdist) ... ok
test_pdist_minkowski_5_8_iris_nonC (test_distance.TestPdist) ... ok
test_pdist_minkowski_random (test_distance.TestPdist) ... ok
test_pdist_minkowski_random_float32 (test_distance.TestPdist) ... ok
test_pdist_minkowski_random_nonC (test_distance.TestPdist) ... ok
test_pdist_rogerstanimoto_match (test_distance.TestPdist) ... ok
test_pdist_rogerstanimoto_mtica1 (test_distance.TestPdist) ... ok
test_pdist_rogerstanimoto_mtica2 (test_distance.TestPdist) ... ok
test_pdist_russellrao_match (test_distance.TestPdist) ... ok
test_pdist_russellrao_mtica1 (test_distance.TestPdist) ... ok
test_pdist_russellrao_mtica2 (test_distance.TestPdist) ... ok
test_pdist_seuclidean_iris (test_distance.TestPdist) ... ok
test_pdist_seuclidean_iris_float32 (test_distance.TestPdist) ... ok
test_pdist_seuclidean_iris_nonC (test_distance.TestPdist) ... ok
test_pdist_seuclidean_random (test_distance.TestPdist) ... ok
test_pdist_seuclidean_random_float32 (test_distance.TestPdist) ... ok
test_pdist_seuclidean_random_nonC (test_distance.TestPdist) ... ok
test_pdist_sokalmichener_match (test_distance.TestPdist) ... ok
test_pdist_sokalsneath_match (test_distance.TestPdist) ... ok
test_pdist_sokalsneath_mtica1 (test_distance.TestPdist) ... ok
test_pdist_sokalsneath_mtica2 (test_distance.TestPdist) ... ok
test_pdist_wminkowski (test_distance.TestPdist) ... ok
test_pdist_wminkowski_int_weights (test_distance.TestPdist) ... ok
test_pdist_yule_match (test_distance.TestPdist) ... ok
test_pdist_yule_mtica1 (test_distance.TestPdist) ... ok
test_pdist_yule_mtica2 (test_distance.TestPdist) ... ok
test_correlation (test_distance.TestSomeDistanceFunctions) ... ok
test_cosine (test_distance.TestSomeDistanceFunctions) ... ok
test_euclidean (test_distance.TestSomeDistanceFunctions) ... ok
test_mahalanobis (test_distance.TestSomeDistanceFunctions) ... ok
test_minkowski (test_distance.TestSomeDistanceFunctions) ... ok
test_sqeuclidean (test_distance.TestSomeDistanceFunctions) ... ok
test_wminkowski (test_distance.TestSomeDistanceFunctions) ... ok
test_squareform_1by1_matrix (test_distance.TestSquareForm) ... ok
test_squareform_2by2_matrix (test_distance.TestSquareForm) ... ok
test_squareform_empty_matrix (test_distance.TestSquareForm) ... ok
test_squareform_empty_vector (test_distance.TestSquareForm) ... ok
test_squareform_multi_matrix (test_distance.TestSquareForm) ... ok
test_squareform_one_binary_vector (test_distance.TestSquareForm) ... ok
test_squareform_one_vector (test_distance.TestSquareForm) ... ok
test_distance.load_testing_files ... ok
test_distance.test_bad_p ... ok
test_distance.test_sokalsneath_all_false ... ok
test_distance.test_canberra ... ok
test_distance.test_braycurtis ... ok
test_distance.test_euclideans ... ok
test_distance.test_hamming_unequal_length ... ok
test_distance.test_hamming_string_array ... ok
test_distance.test_sqeuclidean_dtypes ... ok
test_distance.test_sokalmichener ... ok
test_distance.test__validate_vector ... ok
test_kdtree.test_count_neighbors.test_large_radius ... ok
test_kdtree.test_count_neighbors.test_multiple_radius ... ok
test_kdtree.test_count_neighbors.test_one_radius ... ok
test_kdtree.test_count_neighbors_compiled.test_large_radius ... ok
test_kdtree.test_count_neighbors_compiled.test_multiple_radius ... ok
test_kdtree.test_count_neighbors_compiled.test_one_radius ... ok
test_kdtree.test_random.test_approx ... ok
test_kdtree.test_random.test_m_nearest ... ok
test_kdtree.test_random.test_nearest ... ok
test_kdtree.test_random.test_points_near ... ok
test_kdtree.test_random.test_points_near_l1 ... ok
test_kdtree.test_random.test_points_near_linf ... ok
test_kdtree.test_random_ball.test_found_all ... ok
test_kdtree.test_random_ball.test_in_ball ... ok
test_kdtree.test_random_ball_approx.test_found_all ... ok
test_kdtree.test_random_ball_approx.test_in_ball ... ok
test_kdtree.test_random_ball_approx_compiled.test_found_all ... ok
test_kdtree.test_random_ball_approx_compiled.test_in_ball ... ok
test_kdtree.test_random_ball_approx_compiled_periodic.test_found_all ... ok
test_kdtree.test_random_ball_approx_compiled_periodic.test_found_all_outside ... ok
test_kdtree.test_random_ball_approx_compiled_periodic.test_in_ball ... ok
test_kdtree.test_random_ball_approx_compiled_periodic.test_in_ball_outside ... ok
test_kdtree.test_random_ball_compiled.test_found_all ... ok
test_kdtree.test_random_ball_compiled.test_in_ball ... ok
test_kdtree.test_random_ball_compiled_periodic.test_found_all ... ok
test_kdtree.test_random_ball_compiled_periodic.test_found_all_outside ... ok
test_kdtree.test_random_ball_compiled_periodic.test_in_ball ... ok
test_kdtree.test_random_ball_compiled_periodic.test_in_ball_outside ... ok
test_kdtree.test_random_ball_far.test_found_all ... ok
test_kdtree.test_random_ball_far.test_in_ball ... ok
test_kdtree.test_random_ball_far_compiled.test_found_all ... ok
test_kdtree.test_random_ball_far_compiled.test_in_ball ... ok
test_kdtree.test_random_ball_far_compiled_periodic.test_found_all ... ok
test_kdtree.test_random_ball_far_compiled_periodic.test_found_all_outside ... ok
test_kdtree.test_random_ball_far_compiled_periodic.test_in_ball ... ok
test_kdtree.test_random_ball_far_compiled_periodic.test_in_ball_outside ... ok
test_kdtree.test_random_ball_l1.test_found_all ... ok
test_kdtree.test_random_ball_l1.test_in_ball ... ok
test_kdtree.test_random_ball_l1_compiled.test_found_all ... ok
test_kdtree.test_random_ball_l1_compiled.test_in_ball ... ok
test_kdtree.test_random_ball_l1_compiled_periodic.test_found_all ... ok
test_kdtree.test_random_ball_l1_compiled_periodic.test_found_all_outside ... ok
test_kdtree.test_random_ball_l1_compiled_periodic.test_in_ball ... ok
test_kdtree.test_random_ball_l1_compiled_periodic.test_in_ball_outside ... ok
test_kdtree.test_random_ball_linf.test_found_all ... ok
test_kdtree.test_random_ball_linf.test_in_ball ... ok
test_kdtree.test_random_ball_linf_compiled_periodic.test_found_all ... ok
test_kdtree.test_random_ball_linf_compiled_periodic.test_found_all_outside ... ok
test_kdtree.test_random_ball_linf_compiled_periodic.test_in_ball ... ok
test_kdtree.test_random_ball_linf_compiled_periodic.test_in_ball_outside ... ok
test_kdtree.test_random_compiled.test_approx ... ok
test_kdtree.test_random_compiled.test_m_nearest ... ok
test_kdtree.test_random_compiled.test_nearest ... ok
test_kdtree.test_random_compiled.test_points_near ... ok
test_kdtree.test_random_compiled.test_points_near_l1 ... ok
test_kdtree.test_random_compiled.test_points_near_linf ... ok
test_kdtree.test_random_far.test_approx ... ok
test_kdtree.test_random_far.test_m_nearest ... ok
test_kdtree.test_random_far.test_nearest ... ok
test_kdtree.test_random_far.test_points_near ... ok
test_kdtree.test_random_far.test_points_near_l1 ... ok
test_kdtree.test_random_far.test_points_near_linf ... ok
test_kdtree.test_random_far_compiled.test_approx ... ok
test_kdtree.test_random_far_compiled.test_m_nearest ... ok
test_kdtree.test_random_far_compiled.test_nearest ... ok
test_kdtree.test_random_far_compiled.test_points_near ... ok
test_kdtree.test_random_far_compiled.test_points_near_l1 ... ok
test_kdtree.test_random_far_compiled.test_points_near_linf ... ok
test_kdtree.test_rectangle.test_max_inside ... ok
test_kdtree.test_rectangle.test_max_one_side ... ok
test_kdtree.test_rectangle.test_max_two_sides ... ok
test_kdtree.test_rectangle.test_min_inside ... ok
test_kdtree.test_rectangle.test_min_one_side ... ok
test_kdtree.test_rectangle.test_min_two_sides ... ok
test_kdtree.test_rectangle.test_split ... ok
test_kdtree.test_small.test_approx ... ok
test_kdtree.test_small.test_m_nearest ... ok
test_kdtree.test_small.test_nearest ... ok
test_kdtree.test_small.test_nearest_two ... ok
test_kdtree.test_small.test_points_near ... ok
test_kdtree.test_small.test_points_near_l1 ... ok
test_kdtree.test_small.test_points_near_linf ... ok
test_kdtree.test_small_compiled.test_approx ... ok
test_kdtree.test_small_compiled.test_m_nearest ... ok
test_kdtree.test_small_compiled.test_nearest ... ok
test_kdtree.test_small_compiled.test_nearest_two ... ok
test_kdtree.test_small_compiled.test_points_near ... ok
test_kdtree.test_small_compiled.test_points_near_l1 ... ok
test_kdtree.test_small_compiled.test_points_near_linf ... ok
test_kdtree.test_small_nonleaf.test_approx ... ok
test_kdtree.test_small_nonleaf.test_m_nearest ... ok
test_kdtree.test_small_nonleaf.test_nearest ... ok
test_kdtree.test_small_nonleaf.test_nearest_two ... ok
test_kdtree.test_small_nonleaf.test_points_near ... ok
test_kdtree.test_small_nonleaf.test_points_near_l1 ... ok
test_kdtree.test_small_nonleaf.test_points_near_linf ... ok
test_kdtree.test_small_nonleaf_compiled.test_approx ... ok
test_kdtree.test_small_nonleaf_compiled.test_m_nearest ... ok
test_kdtree.test_small_nonleaf_compiled.test_nearest ... ok
test_kdtree.test_small_nonleaf_compiled.test_nearest_two ... ok
test_kdtree.test_small_nonleaf_compiled.test_points_near ... ok
test_kdtree.test_small_nonleaf_compiled.test_points_near_l1 ... ok
test_kdtree.test_small_nonleaf_compiled.test_points_near_linf ... ok
test_kdtree.test_sparse_distance_matrix.test_consistency_with_neighbors ... ok
test_kdtree.test_sparse_distance_matrix.test_zero_distance ... ok
test_kdtree.test_sparse_distance_matrix_compiled.test_against_logic_error_regression ... ok
test_kdtree.test_sparse_distance_matrix_compiled.test_ckdtree_return_types ... ok
test_kdtree.test_sparse_distance_matrix_compiled.test_consistency_with_neighbors ... ok
test_kdtree.test_sparse_distance_matrix_compiled.test_consistency_with_python ... ok
test_kdtree.test_sparse_distance_matrix_compiled.test_zero_distance ... ok
test_kdtree.test_two_random_trees.test_all_in_ball ... ok
test_kdtree.test_two_random_trees.test_found_all ... ok
test_kdtree.test_two_random_trees_compiled.test_all_in_ball ... ok
test_kdtree.test_two_random_trees_compiled.test_found_all ... ok
test_kdtree.test_two_random_trees_compiled_periodic.test_all_in_ball ... ok
test_kdtree.test_two_random_trees_compiled_periodic.test_found_all ... ok
test_kdtree.test_two_random_trees_far.test_all_in_ball ... ok
test_kdtree.test_two_random_trees_far.test_found_all ... ok
test_kdtree.test_two_random_trees_far_compiled.test_all_in_ball ... ok
test_kdtree.test_two_random_trees_far_compiled.test_found_all ... ok
test_kdtree.test_two_random_trees_far_compiled_periodic.test_all_in_ball ... ok
test_kdtree.test_two_random_trees_far_compiled_periodic.test_found_all ... ok
test_kdtree.test_two_random_trees_linf.test_all_in_ball ... ok
test_kdtree.test_two_random_trees_linf.test_found_all ... ok
test_kdtree.test_two_random_trees_linf_compiled.test_all_in_ball ... ok
test_kdtree.test_two_random_trees_linf_compiled.test_found_all ... ok
test_kdtree.test_two_random_trees_linf_compiled_periodic.test_all_in_ball ... ok
test_kdtree.test_two_random_trees_linf_compiled_periodic.test_found_all ... ok
test_kdtree.test_vectorization.test_single_query ... ok
test_kdtree.test_vectorization.test_single_query_all_neighbors ... ok
test_kdtree.test_vectorization.test_single_query_multiple_neighbors ... ok
test_kdtree.test_vectorization.test_vectorized_query ... ok
test_kdtree.test_vectorization.test_vectorized_query_all_neighbors ... ok
test_kdtree.test_vectorization.test_vectorized_query_multiple_neighbors ... ok
test_kdtree.test_vectorization_compiled.test_single_query ... ok
test_kdtree.test_vectorization_compiled.test_single_query_multiple_neighbors ... ok
test_kdtree.test_vectorization_compiled.test_vectorized_query ... ok
test_kdtree.test_vectorization_compiled.test_vectorized_query_multiple_neighbors ... ok
test_kdtree.test_vectorization_compiled.test_vectorized_query_noncontiguous_values ... ok
test_kdtree.test_random_ball_vectorized ... ok
test_kdtree.test_random_ball_vectorized_compiled ... ok
test_kdtree.test_query_ball_point_multithreading ... ok
test_kdtree.test_distance_l2 ... ok
test_kdtree.test_distance_l1 ... ok
test_kdtree.test_distance_linf ... ok
test_kdtree.test_distance_vectorization ... ok
test_kdtree.test_distance_matrix ... ok
test_kdtree.test_distance_matrix_looping ... ok
test_kdtree.test_onetree_query(<scipy.spatial.kdtree.KDTree object at 0xe143f10>, 0.1) ... ok
test_kdtree.test_onetree_query(<scipy.spatial.kdtree.KDTree object at 0xe143ed0>, 0.1) ... ok
test_kdtree.test_onetree_query(<scipy.spatial.kdtree.KDTree object at 0xe143ed0>, 0.001) ... ok
test_kdtree.test_onetree_query(<scipy.spatial.kdtree.KDTree object at 0xe143ed0>, 1e-05) ... ok
test_kdtree.test_onetree_query(<scipy.spatial.kdtree.KDTree object at 0xe143ed0>, 1e-06) ... ok
test_kdtree.test_onetree_query_compiled(<scipy.spatial.ckdtree.cKDTree object at 0xe139c08>, 0.1) ... ok
test_kdtree.test_onetree_query_compiled(<scipy.spatial.ckdtree.cKDTree object at 0xe139cd0>, 0.1) ... ok
test_kdtree.test_onetree_query_compiled(<scipy.spatial.ckdtree.cKDTree object at 0xe139cd0>, 0.001) ... ok
test_kdtree.test_onetree_query_compiled(<scipy.spatial.ckdtree.cKDTree object at 0xe139cd0>, 1e-05) ... ok
test_kdtree.test_onetree_query_compiled(<scipy.spatial.ckdtree.cKDTree object at 0xe139cd0>, 1e-06) ... ok
test_kdtree.test_query_pairs_single_node ... ok
test_kdtree.test_query_pairs_single_node_compiled ... ok
test_kdtree.test_ckdtree_query_pairs ... ok
test_kdtree.test_ball_point_ints ... ok
test_kdtree.test_kdtree_comparisons ... ok
test_kdtree.test_ckdtree_build_modes ... ok
test_kdtree.test_ckdtree_pickle ... ok
test_kdtree.test_ckdtree_pickle_boxsize ... ok
test_kdtree.test_ckdtree_copy_data ... ok
test_kdtree.test_ckdtree_parallel ... ok
test_kdtree.test_ckdtree_view ... ok
test_kdtree.test_ckdtree_list_k ... ok
test_kdtree.test_ckdtree_box ... ok
test_kdtree.test_ckdtree_box_upper_bounds ... ok
test_kdtree.test_ckdtree_box_lower_bounds ... ok
test_kdtree.test_ckdtree_memuse ... ok
test_kdtree.test_len0_arrays ... ok
test_qhull.TestConvexHull.test_array_with_nans_fails ... ok
test_qhull.TestConvexHull.test_hull_consistency_tri('pathological-1',) ... ok
test_qhull.TestConvexHull.test_hull_consistency_tri('pathological-2',) ... ok
test_qhull.TestConvexHull.test_hull_consistency_tri('random-2d',) ... ok
test_qhull.TestConvexHull.test_hull_consistency_tri('random-3d',) ... ok
test_qhull.TestConvexHull.test_hull_consistency_tri('random-4d',) ... ok
test_qhull.TestConvexHull.test_hull_consistency_tri('random-5d',) ... ok
test_qhull.TestConvexHull.test_hull_consistency_tri('random-6d',) ... ok
test_qhull.TestConvexHull.test_hull_consistency_tri('random-7d',) ... ok
test_qhull.TestConvexHull.test_hull_consistency_tri('random-8d',) ... ok
test_qhull.TestConvexHull.test_hull_consistency_tri('some-points',) ... ok
test_qhull.TestConvexHull.test_incremental('bug-2850',) ... ok
test_qhull.TestConvexHull.test_incremental('bug-2850-2',) ... ok
test_qhull.TestConvexHull.test_incremental('pathological-1-chunk-1',) ... ok
test_qhull.TestConvexHull.test_incremental('pathological-1-chunk-16',) ... ok
test_qhull.TestConvexHull.test_incremental('pathological-1-chunk-4',) ... ok
test_qhull.TestConvexHull.test_incremental('pathological-2-chunk-1',) ... ok
test_qhull.TestConvexHull.test_incremental('pathological-2-chunk-16',) ... ok
test_qhull.TestConvexHull.test_incremental('pathological-2-chunk-4',) ... ok
test_qhull.TestConvexHull.test_incremental('random-2d-chunk-1',) ... ok
test_qhull.TestConvexHull.test_incremental('random-2d-chunk-16',) ... ok
test_qhull.TestConvexHull.test_incremental('random-2d-chunk-4',) ... ok
test_qhull.TestConvexHull.test_incremental('random-3d-chunk-1',) ... ok
test_qhull.TestConvexHull.test_incremental('random-3d-chunk-16',) ... ok
test_qhull.TestConvexHull.test_incremental('random-3d-chunk-4',) ... ok
test_qhull.TestConvexHull.test_incremental('random-4d-chunk-1',) ... ok
test_qhull.TestConvexHull.test_incremental('random-4d-chunk-16',) ... ok
test_qhull.TestConvexHull.test_incremental('random-4d-chunk-4',) ... ok
test_qhull.TestConvexHull.test_incremental('random-5d-chunk-1',) ... ok
test_qhull.TestConvexHull.test_incremental('random-5d-chunk-16',) ... ok
test_qhull.TestConvexHull.test_incremental('random-5d-chunk-4',) ... ok
test_qhull.TestConvexHull.test_incremental('random-6d-chunk-1',) ... ok
test_qhull.TestConvexHull.test_incremental('random-6d-chunk-16',) ... ok
test_qhull.TestConvexHull.test_incremental('random-6d-chunk-4',) ... ok
test_qhull.TestConvexHull.test_incremental('random-7d-chunk-1',) ... ok
test_qhull.TestConvexHull.test_incremental('random-7d-chunk-16',) ... ok
test_qhull.TestConvexHull.test_incremental('random-7d-chunk-4',) ... ok
test_qhull.TestConvexHull.test_incremental('random-8d-chunk-1',) ... ok
test_qhull.TestConvexHull.test_incremental('random-8d-chunk-16',) ... ok
test_qhull.TestConvexHull.test_incremental('random-8d-chunk-4',) ... ok
test_qhull.TestConvexHull.test_incremental('some-points-chunk-1',) ... ok
test_qhull.TestConvexHull.test_incremental('some-points-chunk-16',) ... ok
test_qhull.TestConvexHull.test_incremental('some-points-chunk-4',) ... ok
test_qhull.TestConvexHull.test_masked_array_fails ... ok
test_qhull.TestConvexHull.test_vertices_2d ... ok
test_qhull.TestConvexHull.test_volume_area ... ok
test_qhull.TestDelaunay.test_2d_square ... ok
test_qhull.TestDelaunay.test_array_with_nans_fails ... ok
test_qhull.TestDelaunay.test_coplanar ... ok
test_qhull.TestDelaunay.test_duplicate_points ... ok
test_qhull.TestDelaunay.test_furthest_site ... ok
test_qhull.TestDelaunay.test_incremental('bug-2850',) ... ok
test_qhull.TestDelaunay.test_incremental('bug-2850-2',) ... ok
test_qhull.TestDelaunay.test_incremental('pathological-1-chunk-1',) ... ok
test_qhull.TestDelaunay.test_incremental('pathological-1-chunk-16',) ... ok
test_qhull.TestDelaunay.test_incremental('pathological-1-chunk-4',) ... ok
test_qhull.TestDelaunay.test_incremental('pathological-2-chunk-1',) ... ok
test_qhull.TestDelaunay.test_incremental('pathological-2-chunk-16',) ... ok
test_qhull.TestDelaunay.test_incremental('pathological-2-chunk-4',) ... ok
test_qhull.TestDelaunay.test_incremental('random-2d-chunk-1',) ... ok
test_qhull.TestDelaunay.test_incremental('random-2d-chunk-16',) ... ok
test_qhull.TestDelaunay.test_incremental('random-2d-chunk-4',) ... ok
test_qhull.TestDelaunay.test_incremental('random-3d-chunk-1',) ... ok
test_qhull.TestDelaunay.test_incremental('random-3d-chunk-16',) ... ok
test_qhull.TestDelaunay.test_incremental('random-3d-chunk-4',) ... ok
test_qhull.TestDelaunay.test_incremental('random-4d-chunk-1',) ... ok
test_qhull.TestDelaunay.test_incremental('random-4d-chunk-16',) ... ok
test_qhull.TestDelaunay.test_incremental('random-4d-chunk-4',) ... ok
test_qhull.TestDelaunay.test_incremental('random-5d-chunk-1',) ... ok
test_qhull.TestDelaunay.test_incremental('random-5d-chunk-16',) ... ok
test_qhull.TestDelaunay.test_incremental('random-5d-chunk-4',) ... ok
test_qhull.TestDelaunay.test_incremental('random-6d-chunk-1',) ... ok
test_qhull.TestDelaunay.test_incremental('random-6d-chunk-16',) ... ok
test_qhull.TestDelaunay.test_incremental('random-6d-chunk-4',) ... ok
test_qhull.TestDelaunay.test_incremental('random-7d-chunk-1',) ... ok
test_qhull.TestDelaunay.test_incremental('random-7d-chunk-16',) ... ok
test_qhull.TestDelaunay.test_incremental('random-7d-chunk-4',) ... ok
test_qhull.TestDelaunay.test_incremental('random-8d-chunk-1',) ... ok
test_qhull.TestDelaunay.test_incremental('random-8d-chunk-16',) ... ok
test_qhull.TestDelaunay.test_incremental('random-8d-chunk-4',) ... ok
test_qhull.TestDelaunay.test_incremental('some-points-chunk-1',) ... ok
test_qhull.TestDelaunay.test_incremental('some-points-chunk-16',) ... ok
test_qhull.TestDelaunay.test_incremental('some-points-chunk-4',) ... ok
test_qhull.TestDelaunay.test_joggle ... ok
test_qhull.TestDelaunay.test_masked_array_fails ... ok
test_qhull.TestDelaunay.test_nd_simplex ... ok
test_qhull.TestDelaunay.test_pathological ... ok
test_qhull.TestUtilities.test_convex_hull ... ok
test_qhull.TestUtilities.test_degenerate_barycentric_transforms ... ok
test_qhull.TestUtilities.test_find_simplex ... ok
test_qhull.TestUtilities.test_more_barycentric_transforms ... ok
test_qhull.TestUtilities.test_plane_distance ... ok
test_qhull.TestUtilities.test_random_volume_area ... ok
test_qhull.TestUtilities.test_volume_area ... ok
test_qhull.TestVertexNeighborVertices.test_complicated ... ok
test_qhull.TestVertexNeighborVertices.test_rectangle ... ok
test_qhull.TestVertexNeighborVertices.test_triangle ... ok
test_qhull.TestVoronoi.test_furthest_site ... ok
test_qhull.TestVoronoi.test_incremental('bug-2850',) ... ok
test_qhull.TestVoronoi.test_incremental('bug-2850-2',) ... ok
test_qhull.TestVoronoi.test_incremental('pathological-1-chunk-1',) ... ok
test_qhull.TestVoronoi.test_incremental('pathological-1-chunk-16',) ... ok
test_qhull.TestVoronoi.test_incremental('pathological-1-chunk-4',) ... ok
test_qhull.TestVoronoi.test_incremental('pathological-2-chunk-1',) ... ok
test_qhull.TestVoronoi.test_incremental('pathological-2-chunk-16',) ... ok
test_qhull.TestVoronoi.test_incremental('pathological-2-chunk-4',) ... ok
test_qhull.TestVoronoi.test_incremental('random-2d-chunk-1',) ... ok
test_qhull.TestVoronoi.test_incremental('random-2d-chunk-16',) ... ok
test_qhull.TestVoronoi.test_incremental('random-2d-chunk-4',) ... ok
test_qhull.TestVoronoi.test_incremental('random-3d-chunk-1',) ... ok
test_qhull.TestVoronoi.test_incremental('random-3d-chunk-16',) ... ok
test_qhull.TestVoronoi.test_incremental('random-3d-chunk-4',) ... ok
test_qhull.TestVoronoi.test_incremental('some-points-chunk-1',) ... ok
test_qhull.TestVoronoi.test_incremental('some-points-chunk-16',) ... ok
test_qhull.TestVoronoi.test_incremental('some-points-chunk-4',) ... ok
test_qhull.TestVoronoi.test_masked_array_fails ... ok
test_qhull.TestVoronoi.test_ridges('pathological-2',) ... ok
test_qhull.TestVoronoi.test_ridges('random-4d',) ... ok
test_qhull.TestVoronoi.test_ridges('pathological-1',) ... ok
test_qhull.TestVoronoi.test_ridges('random-6d',) ... ok
test_qhull.TestVoronoi.test_ridges('random-7d',) ... ok
test_qhull.TestVoronoi.test_ridges('random-2d',) ... ok
test_qhull.TestVoronoi.test_ridges('random-3d',) ... ok
test_qhull.TestVoronoi.test_ridges('random-8d',) ... ok
test_qhull.TestVoronoi.test_ridges('random-5d',) ... ok
test_qhull.TestVoronoi.test_ridges('some-points',) ... ok
test_qhull.TestVoronoi.test_simple ... ok
test_qhull.Test_Qhull.test_swapping ... ok
test_circumcenters (test_spherical_voronoi.TestCircumcenters) ... ok
test_scaled_points (test_spherical_voronoi.TestProjectToSphere) ... ok
test_translated_sphere (test_spherical_voronoi.TestProjectToSphere) ... ok
test_unit_sphere (test_spherical_voronoi.TestProjectToSphere) ... ok
test_constructor (test_spherical_voronoi.TestSphericalVoronoi) ... ok
test_sort_vertices_of_regions (test_spherical_voronoi.TestSphericalVoronoi) ... ok
test_vertices_regions_scaling_invariance (test_spherical_voronoi.TestSphericalVoronoi) ... ok
test_vertices_regions_translation_invariance (test_spherical_voronoi.TestSphericalVoronoi) ... ok
test_voronoi_circles (test_spherical_voronoi.TestSphericalVoronoi) ... ok
test_ai_zeros (test_basic.TestAiry) ... ok
test_ai_zeros_big (test_basic.TestAiry) ... ok
test_airy (test_basic.TestAiry) ... ok
test_airye (test_basic.TestAiry) ... ok
test_bi_zeros (test_basic.TestAiry) ... ok
test_bi_zeros_big (test_basic.TestAiry) ... ok
test_assoc_laguerre (test_basic.TestAssocLaguerre) ... ok
test_bernoulli (test_basic.TestBernoulli) ... ok
test_i0 (test_basic.TestBessel) ... ok
test_i0_series (test_basic.TestBessel) ... ok
test_i0e (test_basic.TestBessel) ... ok
test_i1 (test_basic.TestBessel) ... ok
test_i1_series (test_basic.TestBessel) ... ok
test_i1e (test_basic.TestBessel) ... ok
test_it2i0k0 (test_basic.TestBessel) ... ok
test_it2j0y0 (test_basic.TestBessel) ... ok
test_iti0k0 (test_basic.TestBessel) ... ok
test_itj0y0 (test_basic.TestBessel) ... ok
test_iv (test_basic.TestBessel) ... ok
test_iv_cephes_vs_amos (test_basic.TestBessel) ... ok
test_iv_cephes_vs_amos_mass_test (test_basic.TestBessel) ... ok
test_iv_hyperg_poles (test_basic.TestBessel) ... ok
test_iv_series (test_basic.TestBessel) ... ok
test_ive (test_basic.TestBessel) ... ok
test_ivp (test_basic.TestBessel) ... ok
test_ivp0 (test_basic.TestBessel) ... ok
test_j0 (test_basic.TestBessel) ... ok
test_j1 (test_basic.TestBessel) ... ok
test_jacobi (test_basic.TestBessel) ... ok
test_jn (test_basic.TestBessel) ... ok
test_jn_zeros (test_basic.TestBessel) ... ok
test_jn_zeros_slow (test_basic.TestBessel) ... ok
test_jnjnp_zeros (test_basic.TestBessel) ... ok
test_jnp_zeros (test_basic.TestBessel) ... ok
test_jnyn_zeros (test_basic.TestBessel) ... ok
test_jv (test_basic.TestBessel) ... ok
test_jv_cephes_vs_amos (test_basic.TestBessel) ... ok
test_jve (test_basic.TestBessel) ... ok
test_jvp (test_basic.TestBessel) ... ok
test_k0 (test_basic.TestBessel) ... ok
test_k0e (test_basic.TestBessel) ... ok
test_k1 (test_basic.TestBessel) ... ok
test_k1e (test_basic.TestBessel) ... ok
test_kn (test_basic.TestBessel) ... ok
test_kn_largeorder (test_basic.TestBessel) ... ok
test_kv0 (test_basic.TestBessel) ... ok
test_kv1 (test_basic.TestBessel) ... ok
test_kv2 (test_basic.TestBessel) ... ok
test_kv_cephes_vs_amos (test_basic.TestBessel) ... ok
test_kv_largearg (test_basic.TestBessel) ... ok
test_kve (test_basic.TestBessel) ... ok
test_kvp_n1 (test_basic.TestBessel) ... ok
test_kvp_n2 (test_basic.TestBessel) ... ok
test_kvp_v0n1 (test_basic.TestBessel) ... ok
test_negv_iv (test_basic.TestBessel) ... ok
test_negv_ive (test_basic.TestBessel) ... ok
test_negv_jv (test_basic.TestBessel) ... ok
test_negv_jve (test_basic.TestBessel) ... ok
test_negv_kv (test_basic.TestBessel) ... ok
test_negv_kve (test_basic.TestBessel) ... ok
test_negv_yv (test_basic.TestBessel) ... ok
test_negv_yve (test_basic.TestBessel) ... ok
Real-valued Bessel I overflow ... ok
test_ticket_623 (test_basic.TestBessel) ... ok
Negative-order Bessels ... ok
Real-valued Bessel domains ... ok
test_y0 (test_basic.TestBessel) ... ok
test_y0_zeros (test_basic.TestBessel) ... ok
test_y1 (test_basic.TestBessel) ... ok
test_y1_zeros (test_basic.TestBessel) ... ok
test_y1p_zeros (test_basic.TestBessel) ... ok
test_yn (test_basic.TestBessel) ... ok
test_yn_zeros (test_basic.TestBessel) ... ok
test_ynp_zeros (test_basic.TestBessel) ... ok
test_ynp_zeros_large_order (test_basic.TestBessel) ... ok
test_yv (test_basic.TestBessel) ... ok
test_yv_cephes_vs_amos (test_basic.TestBessel) ... ok
test_yv_cephes_vs_amos_only_small_orders (test_basic.TestBessel) ... ok
test_yve (test_basic.TestBessel) ... ok
test_yvp (test_basic.TestBessel) ... ok
test_besselpoly (test_basic.TestBesselpoly) ... ok
test_beta (test_basic.TestBeta) ... ok
test_betainc (test_basic.TestBeta) ... ok
test_betaincinv (test_basic.TestBeta) ... ok
test_betaln (test_basic.TestBeta) ... ok
test_airy (test_basic.TestCephes) ... ok
test_airye (test_basic.TestCephes) ... ok
test_bdtr (test_basic.TestCephes) ... ok
test_bdtrc (test_basic.TestCephes) ... ok
test_bdtri (test_basic.TestCephes) ... ok
test_bdtrik (test_basic.TestCephes) ... ok
test_bdtrin (test_basic.TestCephes) ... ok
test_bei (test_basic.TestCephes) ... ok
test_beip (test_basic.TestCephes) ... ok
test_ber (test_basic.TestCephes) ... ok
test_berp (test_basic.TestCephes) ... ok
test_besselpoly (test_basic.TestCephes) ... ok
test_beta (test_basic.TestCephes) ... ok
test_beta_inf (test_basic.TestCephes) ... ok
test_betainc (test_basic.TestCephes) ... ok
test_betaincinv (test_basic.TestCephes) ... ok
test_betaln (test_basic.TestCephes) ... ok
test_binom (test_basic.TestCephes) ... ok
test_binom_2 (test_basic.TestCephes) ... ok
test_binom_exact (test_basic.TestCephes) ... ok
test_btdtr (test_basic.TestCephes) ... ok
test_btdtri (test_basic.TestCephes) ... ok
test_btdtria (test_basic.TestCephes) ... ok
test_btdtrib (test_basic.TestCephes) ... ok
test_cbrt (test_basic.TestCephes) ... ok
test_chdtr (test_basic.TestCephes) ... ok
test_chdtrc (test_basic.TestCephes) ... ok
test_chdtri (test_basic.TestCephes) ... ok
test_chdtriv (test_basic.TestCephes) ... ok
test_chndtr (test_basic.TestCephes) ... ok
test_chndtridf (test_basic.TestCephes) ... ok
test_chndtrinc (test_basic.TestCephes) ... ok
test_chndtrix (test_basic.TestCephes) ... ok
test_cosdg (test_basic.TestCephes) ... ok
test_cosm1 (test_basic.TestCephes) ... ok
test_cotdg (test_basic.TestCephes) ... ok
test_dawsn (test_basic.TestCephes) ... ok
test_diric (test_basic.TestCephes) ... ok
test_diric_broadcasting (test_basic.TestCephes) ... ok
test_ellipe (test_basic.TestCephes) ... ok
test_ellipeinc (test_basic.TestCephes) ... ok
test_ellipj (test_basic.TestCephes) ... ok
test_ellipk (test_basic.TestCephes) ... ok
test_ellipkinc (test_basic.TestCephes) ... ok
test_erf (test_basic.TestCephes) ... ok
test_erfc (test_basic.TestCephes) ... ok
test_exp1 (test_basic.TestCephes) ... ok
test_exp10 (test_basic.TestCephes) ... ok
test_exp1_reg (test_basic.TestCephes) ... ok
test_exp2 (test_basic.TestCephes) ... ok
test_expi (test_basic.TestCephes) ... ok
test_expm1 (test_basic.TestCephes) ... ok
test_expm1_complex (test_basic.TestCephes) ... ok
test_expm1_complex_hard (test_basic.TestCephes) ... KNOWNFAIL: The real part of expm1(z) bad at these points
test_expn (test_basic.TestCephes) ... ok
test_fdtr (test_basic.TestCephes) ... ok
test_fdtrc (test_basic.TestCephes) ... ok
test_fdtri (test_basic.TestCephes) ... ok
test_fdtridfd (test_basic.TestCephes) ... ok
test_fresnel (test_basic.TestCephes) ... ok
test_gamma (test_basic.TestCephes) ... ok
test_gammainc (test_basic.TestCephes) ... ok
test_gammaincc (test_basic.TestCephes) ... ok
test_gammainccinv (test_basic.TestCephes) ... ok
test_gammaln (test_basic.TestCephes) ... ok
test_gammasgn (test_basic.TestCephes) ... ok
test_gdtr (test_basic.TestCephes) ... ok
test_gdtr_inf (test_basic.TestCephes) ... ok
test_gdtrc (test_basic.TestCephes) ... ok
test_gdtria (test_basic.TestCephes) ... ok
test_gdtrib (test_basic.TestCephes) ... ok
test_gdtrix (test_basic.TestCephes) ... ok
test_hankel1 (test_basic.TestCephes) ... ok
test_hankel1e (test_basic.TestCephes) ... ok
test_hankel2 (test_basic.TestCephes) ... ok
test_hankel2e (test_basic.TestCephes) ... ok
test_hyp1f1 (test_basic.TestCephes) ... ok
test_hyp1f2 (test_basic.TestCephes) ... ok
test_hyp2f0 (test_basic.TestCephes) ... ok
test_hyp2f1 (test_basic.TestCephes) ... ok
test_hyp3f0 (test_basic.TestCephes) ... ok
test_hyperu (test_basic.TestCephes) ... ok
test_i0 (test_basic.TestCephes) ... ok
test_i0e (test_basic.TestCephes) ... ok
test_i1 (test_basic.TestCephes) ... ok
test_i1e (test_basic.TestCephes) ... ok
test_it2i0k0 (test_basic.TestCephes) ... ok
test_it2j0y0 (test_basic.TestCephes) ... ok
test_it2struve0 (test_basic.TestCephes) ... ok
test_itairy (test_basic.TestCephes) ... ok
test_iti0k0 (test_basic.TestCephes) ... ok
test_itj0y0 (test_basic.TestCephes) ... ok
test_itmodstruve0 (test_basic.TestCephes) ... ok
test_itstruve0 (test_basic.TestCephes) ... ok
test_iv (test_basic.TestCephes) ... ok
test_j0 (test_basic.TestCephes) ... ok
test_j1 (test_basic.TestCephes) ... ok
test_jn (test_basic.TestCephes) ... ok
test_jv (test_basic.TestCephes) ... ok
test_k0 (test_basic.TestCephes) ... ok
test_k0e (test_basic.TestCephes) ... ok
test_k1 (test_basic.TestCephes) ... ok
test_k1e (test_basic.TestCephes) ... ok
test_kei (test_basic.TestCephes) ... ok
test_keip (test_basic.TestCephes) ... ok
test_ker (test_basic.TestCephes) ... ok
test_kerp (test_basic.TestCephes) ... ok
test_kn (test_basic.TestCephes) ... ok
test_kolmogi (test_basic.TestCephes) ... ok
test_kolmogorov (test_basic.TestCephes) ... ok
test_log1p (test_basic.TestCephes) ... ok
test_log1p_complex (test_basic.TestCephes) ... ok
test_lpmv (test_basic.TestCephes) ... ok
test_mathieu_a (test_basic.TestCephes) ... ok
test_mathieu_b (test_basic.TestCephes) ... ok
test_mathieu_cem (test_basic.TestCephes) ... ok
test_mathieu_modcem1 (test_basic.TestCephes) ... ok
test_mathieu_modcem2 (test_basic.TestCephes) ... ok
test_mathieu_modsem1 (test_basic.TestCephes) ... ok
test_mathieu_modsem2 (test_basic.TestCephes) ... ok
test_mathieu_overflow (test_basic.TestCephes) ... ok
test_mathieu_sem (test_basic.TestCephes) ... ok
test_mathieu_ticket_1847 (test_basic.TestCephes) ... ok
test_modfresnelm (test_basic.TestCephes) ... ok
test_modfresnelp (test_basic.TestCephes) ... ok
test_nbdtr (test_basic.TestCephes) ... ok
test_nbdtrc (test_basic.TestCephes) ... ok
test_nbdtri (test_basic.TestCephes) ... ok
test_nbdtrin (test_basic.TestCephes) ... ok
test_ncfdtr (test_basic.TestCephes) ... ok
test_ncfdtri (test_basic.TestCephes) ... ok
test_ncfdtridfd (test_basic.TestCephes) ... ok
test_nctdtr (test_basic.TestCephes) ... ok
test_nctdtrinc (test_basic.TestCephes) ... ok
test_nctdtrit (test_basic.TestCephes) ... ok
test_ndtr (test_basic.TestCephes) ... ok
test_ndtri (test_basic.TestCephes) ... ok
test_nrdtrimn (test_basic.TestCephes) ... ok
test_nrdtrisd (test_basic.TestCephes) ... ok
test_obl_ang1 (test_basic.TestCephes) ... ok
test_obl_ang1_cv (test_basic.TestCephes) ... ok
test_obl_rad1 (test_basic.TestCephes) ... ok
test_obl_rad1_cv (test_basic.TestCephes) ... ok
test_obl_rad2 (test_basic.TestCephes) ... ok
test_obl_rad2_cv (test_basic.TestCephes) ... ok
test_pbdv (test_basic.TestCephes) ... ok
test_pbvv (test_basic.TestCephes) ... ok
test_pbwa (test_basic.TestCephes) ... ok
test_pdtr (test_basic.TestCephes) ... ok
test_pdtrc (test_basic.TestCephes) ... ok
test_pdtri (test_basic.TestCephes) ... ok
test_pdtrik (test_basic.TestCephes) ... ok
test_pro_ang1 (test_basic.TestCephes) ... ok
test_pro_ang1_cv (test_basic.TestCephes) ... ok
test_pro_rad1 (test_basic.TestCephes) ... ok
test_pro_rad1_cv (test_basic.TestCephes) ... ok
test_pro_rad2 (test_basic.TestCephes) ... ok
test_pro_rad2_cv (test_basic.TestCephes) ... ok
test_psi (test_basic.TestCephes) ... ok
test_radian (test_basic.TestCephes) ... ok
test_rgamma (test_basic.TestCephes) ... ok
test_round (test_basic.TestCephes) ... ok
test_shichi (test_basic.TestCephes) ... ok
test_sici (test_basic.TestCephes) ... ok
test_sindg (test_basic.TestCephes) ... ok
test_smirnov (test_basic.TestCephes) ... ok
test_smirnovi (test_basic.TestCephes) ... ok
test_spence (test_basic.TestCephes) ... ok
test_stdtr (test_basic.TestCephes) ... ok
test_stdtridf (test_basic.TestCephes) ... ok
test_stdtrit (test_basic.TestCephes) ... ok
test_struve (test_basic.TestCephes) ... ok
test_tandg (test_basic.TestCephes) ... ok
test_tklmbda (test_basic.TestCephes) ... ok
test_wofz (test_basic.TestCephes) ... ok
test_y0 (test_basic.TestCephes) ... ok
test_y1 (test_basic.TestCephes) ... ok
test_yn (test_basic.TestCephes) ... ok
test_yv (test_basic.TestCephes) ... ok
test_zeta (test_basic.TestCephes) ... ok
test_zeta_1arg (test_basic.TestCephes) ... ok
test_zetac (test_basic.TestCephes) ... ok
test_comb (test_basic.TestCombinatorics) ... ok
test_comb_with_np_int64 (test_basic.TestCombinatorics) ... ok
test_comb_zeros (test_basic.TestCombinatorics) ... ok
test_perm (test_basic.TestCombinatorics) ... ok
test_perm_zeros (test_basic.TestCombinatorics) ... ok
test_ellipe (test_basic.TestEllip) ... ok
test_ellipeinc (test_basic.TestEllip) ... ok
test_ellipeinc_2 (test_basic.TestEllip) ... ok
test_ellipj (test_basic.TestEllip) ... ok
Regression test for #912. ... ok
test_ellipk (test_basic.TestEllip) ... ok
test_ellipkinc (test_basic.TestEllip) ... ok
test_ellipkinc_2 (test_basic.TestEllip) ... ok
test_ellipkinc_singular (test_basic.TestEllip) ... ok
test_dawsn_consistent (test_basic.TestErf) ... ok
test_dawsn_nan_inf (test_basic.TestErf) ... ok
test_erf (test_basic.TestErf) ... ok
test_erf_nan_inf (test_basic.TestErf) ... ok
test_erf_zeros (test_basic.TestErf) ... ok
test_erfc_consistent (test_basic.TestErf) ... ok
test_erfc_nan_inf (test_basic.TestErf) ... ok
test_erfcinv (test_basic.TestErf) ... ok
test_erfcx_consistent (test_basic.TestErf) ... ok
test_erfcx_nan_inf (test_basic.TestErf) ... ok
test_erfi_consistent (test_basic.TestErf) ... ok
test_erfi_nan_inf (test_basic.TestErf) ... ok
test_erfinv (test_basic.TestErf) ... ok
test_errprint (test_basic.TestErf) ... ok
test_wofz_nan_inf (test_basic.TestErf) ... ok
test_euler (test_basic.TestEuler) ... ok
test_exp10 (test_basic.TestExp) ... ok
test_exp10more (test_basic.TestExp) ... ok
test_exp2 (test_basic.TestExp) ... ok
test_exp2more (test_basic.TestExp) ... ok
test_expm1 (test_basic.TestExp) ... ok
test_expm1more (test_basic.TestExp) ... ok
test_factorial (test_basic.TestFactorialFunctions) ... ok
test_factorial2 (test_basic.TestFactorialFunctions) ... ok
test_factorialk (test_basic.TestFactorialFunctions) ... ok
test_fresnel (test_basic.TestFresnel) ... ok
test_fresnel_inf1 (test_basic.TestFresnel) ... ok
test_fresnel_inf2 (test_basic.TestFresnel) ... ok
test_fresnel_zeros (test_basic.TestFresnel) ... ok
test_fresnelc_zeros (test_basic.TestFresnel) ... ok
test_fresnels_zeros (test_basic.TestFresnel) ... ok
test_modfresnelm (test_basic.TestFresnelIntegral) ... ok
test_modfresnelp (test_basic.TestFresnelIntegral) ... ok
test_975 (test_basic.TestGamma) ... ok
test_gamma (test_basic.TestGamma) ... ok
test_gammainc (test_basic.TestGamma) ... ok
test_gammaincc (test_basic.TestGamma) ... ok
test_gammainccinf (test_basic.TestGamma) ... ok
test_gammainccinv (test_basic.TestGamma) ... ok
test_gammainccnan (test_basic.TestGamma) ... ok
test_gammaincinf (test_basic.TestGamma) ... ok
test_gammaincinv (test_basic.TestGamma) ... ok
test_gammaincnan (test_basic.TestGamma) ... ok
test_gammainczero (test_basic.TestGamma) ... ok
test_gammaln (test_basic.TestGamma) ... ok
test_infinity (test_basic.TestGamma) ... ok
test_rgamma (test_basic.TestGamma) ... ok
test_hankel1 (test_basic.TestHankel) ... ok
test_hankel1e (test_basic.TestHankel) ... ok
test_hankel2 (test_basic.TestHankel) ... ok
test_hankl2e (test_basic.TestHankel) ... ok
test_neg2e (test_basic.TestHankel) ... ok
test_negv1 (test_basic.TestHankel) ... ok
test_negv1e (test_basic.TestHankel) ... ok
test_negv2 (test_basic.TestHankel) ... ok
test_h1vp (test_basic.TestHyper) ... ok
test_h2vp (test_basic.TestHyper) ... ok
test_hyp0f1 (test_basic.TestHyper) ... ok
test_hyp0f1_gh5764 (test_basic.TestHyper) ... ok
test_hyp1f1 (test_basic.TestHyper) ... ok
test_hyp1f1_gh2282 (test_basic.TestHyper) ... ok
test_hyp1f1_gh2957 (test_basic.TestHyper) ... ok
test_hyp1f2 (test_basic.TestHyper) ... ok
test_hyp2f0 (test_basic.TestHyper) ... ok
test_hyp2f1 (test_basic.TestHyper) ... ok
test_hyp3f0 (test_basic.TestHyper) ... ok
test_hyperu (test_basic.TestHyper) ... ok
test_hyperu_gh2287 (test_basic.TestHyper) ... ok
test_bei (test_basic.TestKelvin) ... ok
test_bei_zeros (test_basic.TestKelvin) ... ok
test_beip (test_basic.TestKelvin) ... ok
test_beip_zeros (test_basic.TestKelvin) ... ok
test_ber (test_basic.TestKelvin) ... ok
test_ber_zeros (test_basic.TestKelvin) ... ok
test_berp (test_basic.TestKelvin) ... ok
test_berp_zeros (test_basic.TestKelvin) ... ok
test_kei (test_basic.TestKelvin) ... ok
test_kei_zeros (test_basic.TestKelvin) ... ok
test_keip (test_basic.TestKelvin) ... ok
test_keip_zeros (test_basic.TestKelvin) ... ok
test_kelvin (test_basic.TestKelvin) ... ok
test_kelvin_zeros (test_basic.TestKelvin) ... ok
test_ker (test_basic.TestKelvin) ... ok
test_ker_zeros (test_basic.TestKelvin) ... ok
test_kerp (test_basic.TestKelvin) ... ok
test_kerp_zeros (test_basic.TestKelvin) ... ok
test_genlaguerre (test_basic.TestLaguerre) ... ok
test_laguerre (test_basic.TestLaguerre) ... ok
test_lmbda (test_basic.TestLambda) ... ok
test_legendre (test_basic.TestLegendre) ... ok
test_clpmn (test_basic.TestLegendreFunctions) ... ok
test_clpmn_across_unit_circle (test_basic.TestLegendreFunctions) ... ok
test_clpmn_close_to_real_2 (test_basic.TestLegendreFunctions) ... ok
test_clpmn_close_to_real_3 (test_basic.TestLegendreFunctions) ... ok
test_deriv_clpmn (test_basic.TestLegendreFunctions) ... ok
test_inf (test_basic.TestLegendreFunctions) ... ok
test_lpmn (test_basic.TestLegendreFunctions) ... ok
test_lpmv (test_basic.TestLegendreFunctions) ... ok
test_lpn (test_basic.TestLegendreFunctions) ... ok
test_lqmn (test_basic.TestLegendreFunctions) ... ok
algorithm for real arguments changes at 1.0001 ... ok
test_lqmn_shape (test_basic.TestLegendreFunctions) ... ok
test_lqn (test_basic.TestLegendreFunctions) ... ok
test_log1p (test_basic.TestLog1p) ... ok
test_log1pmore (test_basic.TestLog1p) ... ok
test_mathieu_a (test_basic.TestMathieu) ... ok
test_mathieu_even_coef (test_basic.TestMathieu) ... ok
test_mathieu_odd_coef (test_basic.TestMathieu) ... ok
test_obl_cv_seq (test_basic.TestOblCvSeq) ... ok
test_pbdn_seq (test_basic.TestParabolicCylinder) ... ok
test_pbdv (test_basic.TestParabolicCylinder) ... ok
test_pbdv_gradient (test_basic.TestParabolicCylinder) ... ok
test_pbdv_points (test_basic.TestParabolicCylinder) ... ok
test_pbdv_seq (test_basic.TestParabolicCylinder) ... ok
test_pbvv_gradient (test_basic.TestParabolicCylinder) ... ok
test_polygamma (test_basic.TestPolygamma) ... ok
test_pro_cv_seq (test_basic.TestProCvSeq) ... ok
test_psi (test_basic.TestPsi) ... ok
test_radian (test_basic.TestRadian) ... ok
test_radianmore (test_basic.TestRadian) ... ok
test_riccati_jn (test_basic.TestRiccati) ... ok
test_riccati_yn (test_basic.TestRiccati) ... ok
test_round (test_basic.TestRound) ... ok
test_sph_harm (test_basic.TestSpherical) ... ok
test_sph_in (test_basic.TestSpherical) ... ok
test_sph_in_kn_order0 (test_basic.TestSpherical) ... ok
test_sph_inkn (test_basic.TestSpherical) ... ok
test_sph_jn (test_basic.TestSpherical) ... ok
test_sph_jnyn (test_basic.TestSpherical) ... ok
test_sph_kn (test_basic.TestSpherical) ... ok
test_sph_yn (test_basic.TestSpherical) ... ok
Regression test for #679 ... ok
test_basic.TestStruve.test_some_values ... ok
Check Struve function versus its power series ... ok
test_specialpoints (test_basic.TestTandg) ... ok
test_tandg (test_basic.TestTandg) ... ok
test_tandgmore (test_basic.TestTandg) ... ok
test_cbrt (test_basic.TestTrigonometric) ... ok
test_cbrtmore (test_basic.TestTrigonometric) ... ok
test_cosdg (test_basic.TestTrigonometric) ... ok
test_cosdgmore (test_basic.TestTrigonometric) ... ok
test_cosm1 (test_basic.TestTrigonometric) ... ok
test_cotdg (test_basic.TestTrigonometric) ... ok
test_cotdgmore (test_basic.TestTrigonometric) ... ok
test_sinc (test_basic.TestTrigonometric) ... ok
test_sindg (test_basic.TestTrigonometric) ... ok
test_sindgmore (test_basic.TestTrigonometric) ... ok
test_specialpoints (test_basic.TestTrigonometric) ... ok
test_basic.test_error_raising ... ok
test_basic.test_sph_harm((0.28209479177387814+0j), 0.28209479177387814) ... ok
test_basic.test_sph_harm((0.19313710101159473+0j), 0.19313710101159473) ... ok
test_basic.test_sph_harm((0.38627420202318957+0j), 0.38627420202318957) ... ok
test_basic.test_sph_harm((0.38627420202318963-9.4609893020179447e-17j), (0.38627420202318957-9.4609893020179434e-17j)) ... ok
test_basic.test_sph_harm((1.1522049019425492e-17+0.18816934037548771j), (1.1522049019425496e-17+0.18816934037548777j)) ... ok
test_basic.test_sph_harm((1.6935820166275238e-18+0.027658293277811392j), (1.6935820166275244e-18+0.027658293277811399j)) ... ok
test_basic.test_sph_harm_ufunc_loop_selection ... ok
test_basic.test_chi2_smalldf ... ok
test_basic.test_ch2_inf ... ok
test_basic.test_chi2c_smalldf ... ok
test_basic.test_chi2_inv_smalldf ... ok
test_basic.test_agm_simple ... ok
test_basic.test_legacy ... ok
test_basic.test_xlogy ... ok
test_basic.test_xlog1py ... ok
test_basic.test_entr ... ok
test_basic.test_kl_div ... ok
test_basic.test_rel_entr ... ok
test_basic.test_huber ... ok
test_basic.test_pseudo_huber ... ok
test_boxcox.test_boxcox_basic(array([-0.69314718,  0.        ,  0.69314718,  1.38629436]), array([-0.69314718,  0.        ,  0.69314718,  1.38629436])) ... ok
test_boxcox.test_boxcox_basic(array([-0.5,  0. ,  1. ,  3. ]), array([-0.5,  0. ,  1. ,  3. ])) ... ok
test_boxcox.test_boxcox_basic(array([-0.375,  0.   ,  1.5  ,  7.5  ]), array([-0.375,  0.   ,  1.5  ,  7.5  ])) ... ok
test_boxcox.test_boxcox_basic(array([-2. , -1. , -0.5]), array([-2. , -1. , -0.5])) ... ok
test_boxcox.test_boxcox_underflow ... ok
test_boxcox.test_boxcox_nonfinite(array([ nan,  nan,  nan]), array([ nan,  nan,  nan])) ... ok
test_boxcox.test_boxcox_nonfinite(array([-inf, -inf]), array([-inf, -inf])) ... ok
test_boxcox.test_boxcox1p_basic(array([ -2.87682072e-01,  -1.00000000e-20,   0.00000000e+00, ... ok
test_boxcox.test_boxcox1p_basic(array([ -2.50000000e-01,  -1.00000000e-20,   0.00000000e+00, ... ok
test_boxcox.test_boxcox1p_basic(array([ -2.18750000e-01,  -1.00000000e-20,   0.00000000e+00, ... ok
test_boxcox.test_boxcox1p_basic(array([-2. , -1. , -0.5]), array([-2. , -1. , -0.5])) ... ok
test_boxcox.test_boxcox1p_underflow ... ok
test_boxcox.test_boxcox1p_nonfinite(array([ nan,  nan,  nan]), array([ nan,  nan,  nan])) ... ok
test_boxcox.test_boxcox1p_nonfinite(array([-inf, -inf]), array([-inf, -inf])) ... ok
test_boxcox.test_inv_boxcox ... ok
test_boxcox.test_inv_boxcox1p_underflow ... ok
test_data.test_boost(<Data for arccosh: acosh_data_ipp-acosh_data>,) ... ok
test_data.test_boost(<Data for arccosh (complex): acosh_data_ipp-acosh_data>,) ... ok
test_data.test_boost(<Data for arcsinh: asinh_data_ipp-asinh_data>,) ... ok
test_data.test_boost(<Data for arcsinh (complex): asinh_data_ipp-asinh_data>,) ... ok
test_data.test_boost(<Data for arctanh: atanh_data_ipp-atanh_data>,) ... ok
test_data.test_boost(<Data for arctanh (complex): atanh_data_ipp-atanh_data>,) ... ok
test_data.test_boost(<Data for assoc_legendre_p_boost_: assoc_legendre_p_ipp-assoc_legendre_p>,) ... ok
test_data.test_boost(<Data for legendre_p_via_assoc_: legendre_p_ipp-legendre_p>,) ... ok
test_data.test_boost(<Data for legendre_p_via_assoc_: legendre_p_large_ipp-legendre_p_large>,) ... ok
test_data.test_boost(<Data for legendre_p_via_lpmn: legendre_p_ipp-legendre_p>,) ... ok
test_data.test_boost(<Data for legendre_p_via_lpmn: legendre_p_large_ipp-legendre_p_large>,) ... ok
test_data.test_boost(<Data for lpn_: legendre_p_ipp-legendre_p>,) ... ok
test_data.test_boost(<Data for lpn_: legendre_p_large_ipp-legendre_p_large>,) ... ok
test_data.test_boost(<Data for eval_legendre_ld: legendre_p_ipp-legendre_p>,) ... ok
test_data.test_boost(<Data for eval_legendre_ld: legendre_p_large_ipp-legendre_p_large>,) ... ok
test_data.test_boost(<Data for eval_legendre_dd: legendre_p_ipp-legendre_p>,) ... ok
test_data.test_boost(<Data for eval_legendre_dd: legendre_p_large_ipp-legendre_p_large>,) ... ok
test_data.test_boost(<Data for lqn_: legendre_p_ipp-legendre_p>,) ... ok
test_data.test_boost(<Data for lqn_: legendre_p_large_ipp-legendre_p_large>,) ... ok
test_data.test_boost(<Data for legendre_q_via_lqmn: legendre_p_ipp-legendre_p>,) ... ok
test_data.test_boost(<Data for legendre_q_via_lqmn: legendre_p_large_ipp-legendre_p_large>,) ... ok
test_data.test_boost(<Data for beta: beta_exp_data_ipp-beta_exp_data>,) ... ok
test_data.test_boost(<Data for beta: beta_exp_data_ipp-beta_exp_data>,) ... ok
test_data.test_boost(<Data for beta: beta_small_data_ipp-beta_small_data>,) ... ok
test_data.test_boost(<Data for beta: beta_med_data_ipp-beta_med_data>,) ... ok
test_data.test_boost(<Data for betainc: ibeta_small_data_ipp-ibeta_small_data>,) ... ok
test_data.test_boost(<Data for betainc: ibeta_data_ipp-ibeta_data>,) ... ok
test_data.test_boost(<Data for betainc: ibeta_int_data_ipp-ibeta_int_data>,) ... ok
test_data.test_boost(<Data for betainc: ibeta_large_data_ipp-ibeta_large_data>,) ... ok
test_data.test_boost(<Data for betaincinv: ibeta_inv_data_ipp-ibeta_inv_data>,) ... ok
test_data.test_boost(<Data for btdtr: ibeta_small_data_ipp-ibeta_small_data>,) ... ok
test_data.test_boost(<Data for btdtr: ibeta_data_ipp-ibeta_data>,) ... ok
test_data.test_boost(<Data for btdtr: ibeta_int_data_ipp-ibeta_int_data>,) ... ok
test_data.test_boost(<Data for btdtr: ibeta_large_data_ipp-ibeta_large_data>,) ... ok
test_data.test_boost(<Data for btdtri: ibeta_inv_data_ipp-ibeta_inv_data>,) ... ok
test_data.test_boost(<Data for btdtri_comp: ibeta_inv_data_ipp-ibeta_inv_data>,) ... ok
test_data.test_boost(<Data for btdtria: ibeta_inva_data_ipp-ibeta_inva_data>,) ... ok
test_data.test_boost(<Data for btdtria_comp: ibeta_inva_data_ipp-ibeta_inva_data>,) ... ok
test_data.test_boost(<Data for btdtrib: ibeta_inva_data_ipp-ibeta_inva_data>,) ... ok
test_data.test_boost(<Data for btdtrib_comp: ibeta_inva_data_ipp-ibeta_inva_data>,) ... ok
test_data.test_boost(<Data for binom: binomial_data_ipp-binomial_data>,) ... ok
test_data.test_boost(<Data for binom: binomial_large_data_ipp-binomial_large_data>,) ... ok
test_data.test_boost(<Data for bdtrik: binomial_quantile_ipp-binomial_quantile_data>,) ... ok
test_data.test_boost(<Data for bdtrik_comp: binomial_quantile_ipp-binomial_quantile_data>,) ... ok
test_data.test_boost(<Data for nbdtrik: negative_binomial_quantile_ipp-negative_binomial_quantile_data>,) ... ok
test_data.test_boost(<Data for nbdtrik_comp: negative_binomial_quantile_ipp-negative_binomial_quantile_data>,) ... ok
test_data.test_boost(<Data for pdtrik: poisson_quantile_ipp-poisson_quantile_data>,) ... ok
test_data.test_boost(<Data for pdtrik_comp: poisson_quantile_ipp-poisson_quantile_data>,) ... ok
test_data.test_boost(<Data for cbrt: cbrt_data_ipp-cbrt_data>,) ... ok
test_data.test_boost(<Data for psi: digamma_data_ipp-digamma_data>,) ... ok
test_data.test_boost(<Data for psi (complex): digamma_data_ipp-digamma_data>,) ... ok
test_data.test_boost(<Data for psi: digamma_neg_data_ipp-digamma_neg_data>,) ... ok
test_data.test_boost(<Data for psi (complex): digamma_neg_data_ipp-digamma_neg_data>,) ... ok
test_data.test_boost(<Data for psi: digamma_root_data_ipp-digamma_root_data>,) ... ok
test_data.test_boost(<Data for psi (complex): digamma_root_data_ipp-digamma_root_data>,) ... ok
test_data.test_boost(<Data for psi: digamma_small_data_ipp-digamma_small_data>,) ... ok
test_data.test_boost(<Data for psi (complex): digamma_small_data_ipp-digamma_small_data>,) ... ok
test_data.test_boost(<Data for ellipk_: ellint_k_data_ipp-ellint_k_data>,) ... ok
test_data.test_boost(<Data for ellipkinc_: ellint_f_data_ipp-ellint_f_data>,) ... ok
test_data.test_boost(<Data for ellipe_: ellint_e_data_ipp-ellint_e_data>,) ... ok
test_data.test_boost(<Data for ellipeinc_: ellint_e2_data_ipp-ellint_e2_data>,) ... ok
test_data.test_boost(<Data for erf: erf_data_ipp-erf_data>,) ... ok
test_data.test_boost(<Data for erf (complex): erf_data_ipp-erf_data>,) ... ok
test_data.test_boost(<Data for erfc: erf_data_ipp-erf_data>,) ... ok
test_data.test_boost(<Data for erf: erf_large_data_ipp-erf_large_data>,) ... ok
test_data.test_boost(<Data for erf (complex): erf_large_data_ipp-erf_large_data>,) ... ok
test_data.test_boost(<Data for erfc: erf_large_data_ipp-erf_large_data>,) ... ok
test_data.test_boost(<Data for erf: erf_small_data_ipp-erf_small_data>,) ... ok
test_data.test_boost(<Data for erf (complex): erf_small_data_ipp-erf_small_data>,) ... ok
test_data.test_boost(<Data for erfc: erf_small_data_ipp-erf_small_data>,) ... ok
test_data.test_boost(<Data for erfinv: erf_inv_data_ipp-erf_inv_data>,) ... ok
test_data.test_boost(<Data for erfcinv: erfc_inv_data_ipp-erfc_inv_data>,) ... ok
test_data.test_boost(<Data for erfcinv: erfc_inv_big_data_ipp-erfc_inv_big_data2>,) ... ok
test_data.test_boost(<Data for exp1: expint_1_data_ipp-expint_1_data>,) ... ok
test_data.test_boost(<Data for exp1 (complex): expint_1_data_ipp-expint_1_data>,) ... ok
test_data.test_boost(<Data for expi: expinti_data_ipp-expinti_data>,) ... ok
test_data.test_boost(<Data for expi: expinti_data_double_ipp-expinti_data_double>,) ... ok
test_data.test_boost(<Data for expn: expint_small_data_ipp-expint_small_data>,) ... ok
test_data.test_boost(<Data for expn: expint_data_ipp-expint_data>,) ... ok
test_data.test_boost(<Data for gamma: test_gamma_data_ipp-near_0>,) ... ok
test_data.test_boost(<Data for gamma: test_gamma_data_ipp-near_1>,) ... ok
test_data.test_boost(<Data for gamma: test_gamma_data_ipp-near_2>,) ... ok
test_data.test_boost(<Data for gamma: test_gamma_data_ipp-near_m10>,) ... ok
test_data.test_boost(<Data for gamma: test_gamma_data_ipp-near_m55>,) ... ok
test_data.test_boost(<Data for gamma: test_gamma_data_ipp-factorials>,) ... ok
test_data.test_boost(<Data for gamma (complex): test_gamma_data_ipp-near_0>,) ... ok
test_data.test_boost(<Data for gamma (complex): test_gamma_data_ipp-near_1>,) ... ok
test_data.test_boost(<Data for gamma (complex): test_gamma_data_ipp-near_2>,) ... ok
test_data.test_boost(<Data for gamma (complex): test_gamma_data_ipp-near_m10>,) ... ok
test_data.test_boost(<Data for gamma (complex): test_gamma_data_ipp-near_m55>,) ... ok
test_data.test_boost(<Data for gamma (complex): test_gamma_data_ipp-factorials>,) ... ok
test_data.test_boost(<Data for gammaln: test_gamma_data_ipp-near_0>,) ... ok
test_data.test_boost(<Data for gammaln: test_gamma_data_ipp-near_1>,) ... ok
test_data.test_boost(<Data for gammaln: test_gamma_data_ipp-near_2>,) ... ok
test_data.test_boost(<Data for gammaln: test_gamma_data_ipp-near_m10>,) ... ok
test_data.test_boost(<Data for gammaln: test_gamma_data_ipp-near_m55>,) ... ok
test_data.test_boost(<Data for gammaln: test_gamma_data_ipp-factorials>,) ... ok
test_data.test_boost(<Data for gammainc: igamma_small_data_ipp-igamma_small_data>,) ... ok
test_data.test_boost(<Data for gammainc: igamma_med_data_ipp-igamma_med_data>,) ... ok
test_data.test_boost(<Data for gammainc: igamma_int_data_ipp-igamma_int_data>,) ... ok
test_data.test_boost(<Data for gammainc: igamma_big_data_ipp-igamma_big_data>,) ... ok
test_data.test_boost(<Data for gdtr_: igamma_small_data_ipp-igamma_small_data>,) ... ok
test_data.test_boost(<Data for gdtr_: igamma_med_data_ipp-igamma_med_data>,) ... ok
test_data.test_boost(<Data for gdtr_: igamma_int_data_ipp-igamma_int_data>,) ... ok
test_data.test_boost(<Data for gdtr_: igamma_big_data_ipp-igamma_big_data>,) ... ok
test_data.test_boost(<Data for gammaincc: igamma_small_data_ipp-igamma_small_data>,) ... ok
test_data.test_boost(<Data for gammaincc: igamma_med_data_ipp-igamma_med_data>,) ... ok
test_data.test_boost(<Data for gammaincc: igamma_int_data_ipp-igamma_int_data>,) ... ok
test_data.test_boost(<Data for gammaincc: igamma_big_data_ipp-igamma_big_data>,) ... ok
test_data.test_boost(<Data for gdtrc_: igamma_small_data_ipp-igamma_small_data>,) ... ok
test_data.test_boost(<Data for gdtrc_: igamma_med_data_ipp-igamma_med_data>,) ... ok
test_data.test_boost(<Data for gdtrc_: igamma_int_data_ipp-igamma_int_data>,) ... ok
test_data.test_boost(<Data for gdtrc_: igamma_big_data_ipp-igamma_big_data>,) ... ok
test_data.test_boost(<Data for gdtrib_: igamma_inva_data_ipp-igamma_inva_data>,) ... ok
test_data.test_boost(<Data for gdtrib_comp: igamma_inva_data_ipp-igamma_inva_data>,) ... ok
test_data.test_boost(<Data for poch_: tgamma_delta_ratio_data_ipp-tgamma_delta_ratio_data>,) ... ok
test_data.test_boost(<Data for poch_: tgamma_delta_ratio_int_ipp-tgamma_delta_ratio_int>,) ... ok
test_data.test_boost(<Data for poch_: tgamma_delta_ratio_int2_ipp-tgamma_delta_ratio_int2>,) ... ok
test_data.test_boost(<Data for poch_minus: tgamma_delta_ratio_data_ipp-tgamma_delta_ratio_data>,) ... ok
test_data.test_boost(<Data for poch_minus: tgamma_delta_ratio_int_ipp-tgamma_delta_ratio_int>,) ... ok
test_data.test_boost(<Data for poch_minus: tgamma_delta_ratio_int2_ipp-tgamma_delta_ratio_int2>,) ... ok
test_data.test_boost(<Data for eval_hermite_ld: hermite_ipp-hermite>,) ... ok
test_data.test_boost(<Data for eval_laguerre_ld: laguerre2_ipp-laguerre2>,) ... ok
test_data.test_boost(<Data for eval_laguerre_dd: laguerre2_ipp-laguerre2>,) ... KNOWNFAIL: hyp2f1 insufficiently accurate.
test_data.test_boost(<Data for eval_genlaguerre_ldd: laguerre3_ipp-laguerre3>,) ... ok
test_data.test_boost(<Data for eval_genlaguerre_ddd: laguerre3_ipp-laguerre3>,) ... KNOWNFAIL: hyp2f1 insufficiently accurate.
test_data.test_boost(<Data for log1p: log1p_expm1_data_ipp-log1p_expm1_data>,) ... ok
test_data.test_boost(<Data for expm1: log1p_expm1_data_ipp-log1p_expm1_data>,) ... ok
test_data.test_boost(<Data for iv: bessel_i_data_ipp-bessel_i_data>,) ... ok
test_data.test_boost(<Data for iv (complex): bessel_i_data_ipp-bessel_i_data>,) ... ok
test_data.test_boost(<Data for iv: bessel_i_int_data_ipp-bessel_i_int_data>,) ... ok
test_data.test_boost(<Data for iv (complex): bessel_i_int_data_ipp-bessel_i_int_data>,) ... ok
test_data.test_boost(<Data for jv: bessel_j_int_data_ipp-bessel_j_int_data>,) ... ok
test_data.test_boost(<Data for jv (complex): bessel_j_int_data_ipp-bessel_j_int_data>,) ... ok
test_data.test_boost(<Data for jv: bessel_j_large_data_ipp-bessel_j_large_data>,) ... ok
test_data.test_boost(<Data for jv (complex): bessel_j_large_data_ipp-bessel_j_large_data>,) ... ok
test_data.test_boost(<Data for jv: bessel_j_int_data_ipp-bessel_j_int_data>,) ... ok
test_data.test_boost(<Data for jv (complex): bessel_j_int_data_ipp-bessel_j_int_data>,) ... ok
test_data.test_boost(<Data for jv: bessel_j_data_ipp-bessel_j_data>,) ... ok
test_data.test_boost(<Data for jv (complex): bessel_j_data_ipp-bessel_j_data>,) ... ok
test_data.test_boost(<Data for kn: bessel_k_int_data_ipp-bessel_k_int_data>,) ... ok
test_data.test_boost(<Data for kv: bessel_k_int_data_ipp-bessel_k_int_data>,) ... ok
test_data.test_boost(<Data for kv (complex): bessel_k_int_data_ipp-bessel_k_int_data>,) ... ok
test_data.test_boost(<Data for kv: bessel_k_data_ipp-bessel_k_data>,) ... ok
test_data.test_boost(<Data for kv (complex): bessel_k_data_ipp-bessel_k_data>,) ... ok
test_data.test_boost(<Data for yn: bessel_y01_data_ipp-bessel_y01_data>,) ... ok
test_data.test_boost(<Data for yn: bessel_yn_data_ipp-bessel_yn_data>,) ... ok
test_data.test_boost(<Data for yv: bessel_yn_data_ipp-bessel_yn_data>,) ... ok
test_data.test_boost(<Data for yv (complex): bessel_yn_data_ipp-bessel_yn_data>,) ... ok
test_data.test_boost(<Data for yv: bessel_yv_data_ipp-bessel_yv_data>,) ... ok
test_data.test_boost(<Data for yv (complex): bessel_yv_data_ipp-bessel_yv_data>,) ... ok
test_data.test_boost(<Data for zeta_: zeta_data_ipp-zeta_data>,) ... ok
test_data.test_boost(<Data for zeta_: zeta_neg_data_ipp-zeta_neg_data>,) ... ok
test_data.test_boost(<Data for zeta_: zeta_1_up_data_ipp-zeta_1_up_data>,) ... ok
test_data.test_boost(<Data for zeta_: zeta_1_below_data_ipp-zeta_1_below_data>,) ... ok
test_data.test_boost(<Data for gammaincinv: gamma_inv_small_data_ipp-gamma_inv_small_data>,) ... KNOWNFAIL: gammaincinv bad few small points
test_data.test_boost(<Data for gammaincinv: gamma_inv_data_ipp-gamma_inv_data>,) ... ok
test_data.test_boost(<Data for gammaincinv: gamma_inv_big_data_ipp-gamma_inv_big_data>,) ... ok
test_data.test_boost(<Data for gammainccinv: gamma_inv_small_data_ipp-gamma_inv_small_data>,) ... ok
test_data.test_boost(<Data for gammainccinv: gamma_inv_data_ipp-gamma_inv_data>,) ... ok
test_data.test_boost(<Data for gammainccinv: gamma_inv_big_data_ipp-gamma_inv_big_data>,) ... ok
test_data.test_boost(<Data for gdtrix_: gamma_inv_small_data_ipp-gamma_inv_small_data>,) ... KNOWNFAIL: gdtrix unflow some points
test_data.test_boost(<Data for gdtrix_: gamma_inv_data_ipp-gamma_inv_data>,) ... ok
test_data.test_boost(<Data for gdtrix_: gamma_inv_big_data_ipp-gamma_inv_big_data>,) ... ok
test_data.test_boost(<Data for gdtrix_comp: gamma_inv_small_data_ipp-gamma_inv_small_data>,) ... KNOWNFAIL: gdtrix bad some points
test_data.test_boost(<Data for gdtrix_comp: gamma_inv_data_ipp-gamma_inv_data>,) ... ok
test_data.test_boost(<Data for gdtrix_comp: gamma_inv_big_data_ipp-gamma_inv_big_data>,) ... ok
test_data.test_boost(<Data for chndtr: nccs_ipp-nccs>,) ... ok
test_data.test_boost(<Data for chndtr: nccs_big_ipp-nccs_big>,) ... KNOWNFAIL: chndtr inaccurate some points
test_data.test_boost(<Data for sph_harm_: spherical_harmonic_ipp-spherical_harmonic>,) ... ok
test_data.test_boost(<Data for spherical_jn_: sph_bessel_data_ipp-sph_bessel_data>,) ... ok
test_data.test_boost(<Data for spherical_yn_: sph_neumann_data_ipp-sph_neumann_data>,) ... ok
test_data.test_gsl(<Data for mathieu_a: mathieu_ab>,) ... ok
test_data.test_gsl(<Data for mathieu_b: mathieu_ab>,) ... ok
test_data.test_gsl(<Data for mathieu_ce_rad: mathieu_ce_se>,) ... ok
test_data.test_gsl(<Data for mathieu_se_rad: mathieu_ce_se>,) ... ok
test_data.test_gsl(<Data for mathieu_mc1_scaled: mathieu_mc_ms>,) ... ok
test_data.test_gsl(<Data for mathieu_ms1_scaled: mathieu_mc_ms>,) ... ok
test_data.test_gsl(<Data for mathieu_mc2_scaled: mathieu_mc_ms>,) ... ok
test_data.test_gsl(<Data for mathieu_ms2_scaled: mathieu_mc_ms>,) ... ok
test_data.test_local(<Data for ellipkinc: ellipkinc_neg_m>,) ... ok
test_data.test_local(<Data for ellipkm1: ellipkm1>,) ... ok
test_data.test_local(<Data for ellipeinc: ellipeinc_neg_m>,) ... ok
test_data.test_local(<Data for clog1p: log1p_expm1_complex>,) ... ok
test_data.test_local(<Data for cexpm1: log1p_expm1_complex>,) ... ok
test_data.test_local(<Data for gammainc: gammainc>,) ... ok
test_data.test_local(<Data for ellip_harm_2: ellip>,) ... ok
test_data.test_local(<Data for ellip_harm: ellip>,) ... ok
test_data.test_local(<Data for sph_jn_: sph_bessel_data_ipp-sph_bessel_data>,) ... KNOWNFAIL: sph_jn inaccurate at large n, small x
test_data.test_local(<Data for sph_yn_: sph_neumann_data_ipp-sph_neumann_data>,) ... ok
test_digamma.test_consistency ... ok
test_digamma.test_special_values ... ok
test_ellip_harm.test_ellip_potential ... ok
test_ellip_harm.test_ellip_norm ... ok
test_ellip_harm.test_ellip_harm_2 ... ok
test_ellip_harm.test_ellip_harm ... ok
test_gammainc.test_line ... ok
test_lambertw.test_values ... ok
test_lambertw.test_ufunc ... ok
test_lambertw.test_lambertw_ufunc_loop_selection ... ok
test_loggamma.test_identities1 ... ok
test_loggamma.test_identities2 ... ok
test_loggamma.test_realpart ... ok
test_float32 (test_logit.TestExpit) ... ok
test_float64 (test_logit.TestExpit) ... ok
test_large (test_logit.TestExpit) ... ok
test_float32 (test_logit.TestLogit) ... ok
test_float64 (test_logit.TestLogit) ... ok
test_nan (test_logit.TestLogit) ... ok
test_mpmath.TestSystematic.test_airyai ... SKIP: Skipping test: test_airyai: mpmath is not installed
test_mpmath.TestSystematic.test_airyai_complex ... SKIP: Skipping test: test_airyai_complex: mpmath is not installed
test_mpmath.TestSystematic.test_airyai_prime ... SKIP: Skipping test: test_airyai_prime: mpmath is not installed
test_mpmath.TestSystematic.test_airyai_prime_complex ... SKIP: Skipping test: test_airyai_prime_complex: mpmath is not installed
test_mpmath.TestSystematic.test_airybi ... SKIP: Skipping test: test_airybi: mpmath is not installed
test_mpmath.TestSystematic.test_airybi_complex ... SKIP: Skipping test: test_airybi_complex: mpmath is not installed
test_mpmath.TestSystematic.test_airybi_prime ... SKIP: Skipping test: test_airybi_prime: mpmath is not installed
test_mpmath.TestSystematic.test_airybi_prime_complex ... SKIP: Skipping test: test_airybi_prime_complex: mpmath is not installed
test_mpmath.TestSystematic.test_bei ... SKIP: Skipping test: test_bei: mpmath is not installed
test_mpmath.TestSystematic.test_ber ... SKIP: Skipping test: test_ber: mpmath is not installed
test_mpmath.TestSystematic.test_bernoulli ... SKIP: Skipping test: test_bernoulli: mpmath is not installed
test_mpmath.TestSystematic.test_besseli ... SKIP: Skipping test: test_besseli: mpmath is not installed
test_mpmath.TestSystematic.test_besseli_complex ... SKIP: Skipping test: test_besseli_complex: mpmath is not installed
test_mpmath.TestSystematic.test_besselj ... SKIP: Skipping test: test_besselj: mpmath is not installed
test_mpmath.TestSystematic.test_besselj_complex ... SKIP: Skipping test: test_besselj_complex: mpmath is not installed
test_mpmath.TestSystematic.test_besselk ... SKIP: Skipping test: test_besselk: mpmath is not installed
test_mpmath.TestSystematic.test_besselk_complex ... SKIP: Skipping test: test_besselk_complex: mpmath is not installed
test_mpmath.TestSystematic.test_besselk_int ... SKIP: Skipping test: test_besselk_int: mpmath is not installed
test_mpmath.TestSystematic.test_bessely ... SKIP: Skipping test: test_bessely: mpmath is not installed
test_mpmath.TestSystematic.test_bessely_complex ... SKIP: Skipping test: test_bessely_complex: mpmath is not installed
test_mpmath.TestSystematic.test_bessely_int ... SKIP: Skipping test: test_bessely_int: mpmath is not installed
test_mpmath.TestSystematic.test_beta ... SKIP: Skipping test: test_beta: mpmath is not installed
test_mpmath.TestSystematic.test_betainc ... SKIP: Skipping test: test_betainc: mpmath is not installed
test_mpmath.TestSystematic.test_binom ... SKIP: Skipping test: test_binom: mpmath is not installed
test_mpmath.TestSystematic.test_boxcox ... SKIP: Skipping test: test_boxcox: mpmath is not installed
test_mpmath.TestSystematic.test_boxcox1p ... SKIP: Skipping test: test_boxcox1p: mpmath is not installed
test_mpmath.TestSystematic.test_chebyt ... SKIP: Skipping test: test_chebyt: mpmath is not installed
test_mpmath.TestSystematic.test_chebyt_int ... SKIP: Skipping test: test_chebyt_int: mpmath is not installed
test_mpmath.TestSystematic.test_chebyu ... SKIP: Skipping test: test_chebyu: mpmath is not installed
test_mpmath.TestSystematic.test_chebyu_int ... SKIP: Skipping test: test_chebyu_int: mpmath is not installed
test_mpmath.TestSystematic.test_chi ... SKIP: Skipping test: test_chi: mpmath is not installed
test_mpmath.TestSystematic.test_ci ... SKIP: Skipping test: test_ci: mpmath is not installed
test_mpmath.TestSystematic.test_cospi ... SKIP: Skipping test: test_cospi: mpmath is not installed
test_mpmath.TestSystematic.test_cospi_complex ... SKIP: Skipping test: test_cospi_complex: mpmath is not installed
test_mpmath.TestSystematic.test_digamma ... SKIP: Skipping test: test_digamma: mpmath is not installed
test_mpmath.TestSystematic.test_digamma_complex ... SKIP: Skipping test: test_digamma_complex: mpmath is not installed
test_mpmath.TestSystematic.test_e1 ... SKIP: Skipping test: test_e1: mpmath is not installed
test_mpmath.TestSystematic.test_e1_complex ... SKIP: Skipping test: test_e1_complex: mpmath is not installed
test_mpmath.TestSystematic.test_ei ... SKIP: Skipping test: test_ei: mpmath is not installed
test_mpmath.TestSystematic.test_ei_complex ... SKIP: Skipping test: test_ei_complex: mpmath is not installed
test_mpmath.TestSystematic.test_ellipe ... SKIP: Skipping test: test_ellipe: mpmath is not installed
test_mpmath.TestSystematic.test_ellipeinc ... SKIP: Skipping test: test_ellipeinc: mpmath is not installed
test_mpmath.TestSystematic.test_ellipeinc_largephi ... SKIP: Skipping test: test_ellipeinc_largephi: mpmath is not installed
test_mpmath.TestSystematic.test_ellipf ... SKIP: Skipping test: test_ellipf: mpmath is not installed
test_mpmath.TestSystematic.test_ellipf_largephi ... SKIP: Skipping test: test_ellipf_largephi: mpmath is not installed
test_mpmath.TestSystematic.test_ellipfun_cn ... SKIP: Skipping test: test_ellipfun_cn: mpmath is not installed
test_mpmath.TestSystematic.test_ellipfun_dn ... SKIP: Skipping test: test_ellipfun_dn: mpmath is not installed
test_mpmath.TestSystematic.test_ellipfun_sn ... SKIP: Skipping test: test_ellipfun_sn: mpmath is not installed
test_mpmath.TestSystematic.test_ellipk ... SKIP: Skipping test: test_ellipk: mpmath is not installed
test_mpmath.TestSystematic.test_ellipkinc ... SKIP: Skipping test: test_ellipkinc: mpmath is not installed
test_mpmath.TestSystematic.test_ellipkinc_largephi ... SKIP: Skipping test: test_ellipkinc_largephi: mpmath is not installed
test_mpmath.TestSystematic.test_erf ... SKIP: Skipping test: test_erf: mpmath is not installed
test_mpmath.TestSystematic.test_erf_complex ... SKIP: Skipping test: test_erf_complex: mpmath is not installed
test_mpmath.TestSystematic.test_erfc ... SKIP: Skipping test: test_erfc: mpmath is not installed
test_mpmath.TestSystematic.test_erfc_complex ... SKIP: Skipping test: test_erfc_complex: mpmath is not installed
test_mpmath.TestSystematic.test_erfi ... SKIP: Skipping test: test_erfi: mpmath is not installed
test_mpmath.TestSystematic.test_erfi_complex ... SKIP: Skipping test: test_erfi_complex: mpmath is not installed
test_mpmath.TestSystematic.test_eulernum ... SKIP: Skipping test: test_eulernum: mpmath is not installed
test_mpmath.TestSystematic.test_expint ... SKIP: Skipping test: test_expint: mpmath is not installed
test_mpmath.TestSystematic.test_expm1_complex ... SKIP: Skipping test: test_expm1_complex: mpmath is not installed
test_mpmath.TestSystematic.test_exprel ... SKIP: Skipping test: test_exprel: mpmath is not installed
test_mpmath.TestSystematic.test_fresnelc ... SKIP: Skipping test: test_fresnelc: mpmath is not installed
test_mpmath.TestSystematic.test_fresnels ... SKIP: Skipping test: test_fresnels: mpmath is not installed
test_mpmath.TestSystematic.test_gamma ... SKIP: Skipping test: test_gamma: mpmath is not installed
test_mpmath.TestSystematic.test_gamma_complex ... SKIP: Skipping test: test_gamma_complex: mpmath is not installed
test_mpmath.TestSystematic.test_gammainc ... SKIP: Skipping test: test_gammainc: mpmath is not installed
test_mpmath.TestSystematic.test_gammaincc ... SKIP: Skipping test: test_gammaincc: mpmath is not installed
test_mpmath.TestSystematic.test_gammaln ... SKIP: Skipping test: test_gammaln: mpmath is not installed
test_mpmath.TestSystematic.test_gegenbauer ... SKIP: Skipping test: test_gegenbauer: mpmath is not installed
test_mpmath.TestSystematic.test_gegenbauer_complex ... SKIP: Skipping test: test_gegenbauer_complex: mpmath is not installed
test_mpmath.TestSystematic.test_gegenbauer_complex_general ... SKIP: Skipping test: test_gegenbauer_complex_general: mpmath is not installed
test_mpmath.TestSystematic.test_gegenbauer_int ... SKIP: Skipping test: test_gegenbauer_int: mpmath is not installed
test_mpmath.TestSystematic.test_hankel1 ... SKIP: Skipping test: test_hankel1: mpmath is not installed
test_mpmath.TestSystematic.test_hankel2 ... SKIP: Skipping test: test_hankel2: mpmath is not installed
test_mpmath.TestSystematic.test_hermite ... SKIP: Skipping test: test_hermite: mpmath is not installed
test_mpmath.TestSystematic.test_hyp0f1 ... SKIP: Skipping test: test_hyp0f1: mpmath is not installed
test_mpmath.TestSystematic.test_hyp0f1_complex ... SKIP: Skipping test: test_hyp0f1_complex: mpmath is not installed
test_mpmath.TestSystematic.test_hyp1f1 ... SKIP: Skipping test: test_hyp1f1: mpmath is not installed
test_mpmath.TestSystematic.test_hyp1f1_complex ... SKIP: Skipping test: test_hyp1f1_complex: mpmath is not installed
test_mpmath.TestSystematic.test_hyp1f2 ... SKIP: Skipping test: test_hyp1f2: mpmath is not installed
test_mpmath.TestSystematic.test_hyp2f0 ... SKIP: Skipping test: test_hyp2f0: mpmath is not installed
test_mpmath.TestSystematic.test_hyp2f1 ... SKIP: Skipping test: test_hyp2f1: mpmath is not installed
test_mpmath.TestSystematic.test_hyp2f1_complex ... SKIP: Skipping test: test_hyp2f1_complex: mpmath is not installed
test_mpmath.TestSystematic.test_hyperu ... SKIP: Skipping test: test_hyperu: mpmath is not installed
test_mpmath.TestSystematic.test_j0 ... SKIP: Skipping test: test_j0: mpmath is not installed
test_mpmath.TestSystematic.test_j1 ... SKIP: Skipping test: test_j1: mpmath is not installed
test_mpmath.TestSystematic.test_jacobi ... SKIP: Skipping test: test_jacobi: mpmath is not installed
test_mpmath.TestSystematic.test_jacobi_int ... SKIP: Skipping test: test_jacobi_int: mpmath is not installed
test_mpmath.TestSystematic.test_kei ... SKIP: Skipping test: test_kei: mpmath is not installed
test_mpmath.TestSystematic.test_ker ... SKIP: Skipping test: test_ker: mpmath is not installed
test_mpmath.TestSystematic.test_laguerre ... SKIP: Skipping test: test_laguerre: mpmath is not installed
test_mpmath.TestSystematic.test_laguerre_int ... SKIP: Skipping test: test_laguerre_int: mpmath is not installed
test_mpmath.TestSystematic.test_lambertw ... SKIP: Skipping test: test_lambertw: mpmath is not installed
test_mpmath.TestSystematic.test_legendre ... SKIP: Skipping test: test_legendre: mpmath is not installed
test_mpmath.TestSystematic.test_legendre_int ... SKIP: Skipping test: test_legendre_int: mpmath is not installed
test_mpmath.TestSystematic.test_legenp ... SKIP: Skipping test: test_legenp: mpmath is not installed
test_mpmath.TestSystematic.test_legenp_complex_2 ... SKIP: Skipping test: test_legenp_complex_2: mpmath is not installed
test_mpmath.TestSystematic.test_legenp_complex_3 ... SKIP: Skipping test: test_legenp_complex_3: mpmath is not installed
test_mpmath.TestSystematic.test_legenq ... SKIP: Skipping test: test_legenq: mpmath is not installed
test_mpmath.TestSystematic.test_legenq_complex ... SKIP: Skipping test: test_legenq_complex: mpmath is not installed
test_mpmath.TestSystematic.test_log1p_complex ... SKIP: Skipping test: test_log1p_complex: mpmath is not installed
test_mpmath.TestSystematic.test_log_ndtr ... SKIP: Skipping test: test_log_ndtr: mpmath is not installed
test_mpmath.TestSystematic.test_log_ndtr_complex ... SKIP: Skipping test: test_log_ndtr_complex: mpmath is not installed
test_mpmath.TestSystematic.test_loggamma ... SKIP: Skipping test: test_loggamma: mpmath is not installed
test_mpmath.TestSystematic.test_loggamma_complex ... SKIP: Skipping test: test_loggamma_complex: mpmath is not installed
test_mpmath.TestSystematic.test_ndtr ... SKIP: Skipping test: test_ndtr: mpmath is not installed
test_mpmath.TestSystematic.test_ndtr_complex ... SKIP: Skipping test: test_ndtr_complex: mpmath is not installed
test_mpmath.TestSystematic.test_pcfd ... SKIP: Skipping test: test_pcfd: mpmath is not installed
test_mpmath.TestSystematic.test_pcfv ... SKIP: Skipping test: test_pcfv: mpmath is not installed
test_mpmath.TestSystematic.test_pcfw ... SKIP: Skipping test: test_pcfw: mpmath is not installed
test_mpmath.TestSystematic.test_polygamma ... SKIP: Skipping test: test_polygamma: mpmath is not installed
test_mpmath.TestSystematic.test_rf ... SKIP: Skipping test: test_rf: mpmath is not installed
test_mpmath.TestSystematic.test_rgamma ... SKIP: Skipping test: test_rgamma: mpmath is not installed
test_mpmath.TestSystematic.test_rgamma_complex ... SKIP: Skipping test: test_rgamma_complex: mpmath is not installed
test_mpmath.TestSystematic.test_shi ... SKIP: Skipping test: test_shi: mpmath is not installed
test_mpmath.TestSystematic.test_si ... SKIP: Skipping test: test_si: mpmath is not installed
test_mpmath.TestSystematic.test_sinpi ... SKIP: Skipping test: test_sinpi: mpmath is not installed
test_mpmath.TestSystematic.test_sinpi_complex ... SKIP: Skipping test: test_sinpi_complex: mpmath is not installed
test_mpmath.TestSystematic.test_spence ... SKIP: Skipping test: test_spence: mpmath is not installed
test_mpmath.TestSystematic.test_spence_complex ... SKIP: Skipping test: test_spence_complex: mpmath is not installed
test_mpmath.TestSystematic.test_spherharm ... SKIP: Skipping test: test_spherharm: mpmath is not installed
test_mpmath.TestSystematic.test_spherical_in ... SKIP: Skipping test: test_spherical_in: mpmath is not installed
test_mpmath.TestSystematic.test_spherical_in_complex ... SKIP: Skipping test: test_spherical_in_complex: mpmath is not installed
test_mpmath.TestSystematic.test_spherical_jn ... SKIP: Skipping test: test_spherical_jn: mpmath is not installed
test_mpmath.TestSystematic.test_spherical_jn_complex ... SKIP: Skipping test: test_spherical_jn_complex: mpmath is not installed
test_mpmath.TestSystematic.test_spherical_kn ... SKIP: Skipping test: test_spherical_kn: mpmath is not installed
test_mpmath.TestSystematic.test_spherical_kn_complex ... SKIP: Skipping test: test_spherical_kn_complex: mpmath is not installed
test_mpmath.TestSystematic.test_spherical_yn ... SKIP: Skipping test: test_spherical_yn: mpmath is not installed
test_mpmath.TestSystematic.test_spherical_yn_complex ... SKIP: Skipping test: test_spherical_yn_complex: mpmath is not installed
test_mpmath.TestSystematic.test_struveh ... SKIP: Skipping test: test_struveh: mpmath is not installed
test_mpmath.TestSystematic.test_struvel ... SKIP: Skipping test: test_struvel: mpmath is not installed
test_mpmath.TestSystematic.test_zeta ... SKIP: Skipping test: test_zeta: mpmath is not installed
test_mpmath.test_expi_complex ... SKIP: Skipping test: test_expi_complex: mpmath is not installed
test_mpmath.test_hyp0f1_gh5764 ... SKIP: Skipping test: test_hyp0f1_gh5764: mpmath is not installed
test_mpmath.test_hyp0f1_gh_1609 ... SKIP: Skipping test: test_hyp0f1_gh_1609: mpmath is not installed
test_mpmath.test_hyp2f1_strange_points ... SKIP: Skipping test: test_hyp2f1_strange_points: mpmath is not installed
test_mpmath.test_hyp2f1_real_some_points ... SKIP: Skipping test: test_hyp2f1_real_some_points: mpmath is not installed
test_mpmath.test_hyp2f1_some_points_2 ... SKIP: Skipping test: test_hyp2f1_some_points_2: mpmath is not installed
test_mpmath.test_hyp2f1_real_some ... SKIP: Skipping test: test_hyp2f1_real_some: mpmath is not installed
test_mpmath.test_hyp2f1_real_random ... SKIP: Skipping test: test_hyp2f1_real_random: mpmath is not installed
test_mpmath.test_erf_complex ... SKIP: Skipping test: test_erf_complex: mpmath is not installed
test_mpmath.test_lpmv ... SKIP: Skipping test: test_lpmv: mpmath is not installed
test_mpmath.test_beta ... SKIP: Skipping test: test_beta: mpmath is not installed
test_mpmath.test_loggamma_taylor1 ... SKIP: Skipping test: test_loggamma_taylor1: mpmath is not installed
test_mpmath.test_loggamma_taylor2 ... SKIP: Skipping test: test_loggamma_taylor2: mpmath is not installed
test_mpmath.test_rgamma_zeros ... SKIP: Skipping test: test_rgamma_zeros: mpmath is not installed
test_mpmath.test_digamma_roots ... SKIP: Skipping test: test_digamma_roots: mpmath is not installed
test_mpmath.test_digamma_negreal ... SKIP: Skipping test: test_digamma_negreal: mpmath is not installed
test_mpmath.test_digamma_boundary ... SKIP: Skipping test: test_digamma_boundary: mpmath is not installed
test_mpmath.test_gammainc_boundary ... SKIP: Skipping test: test_gammainc_boundary: mpmath is not installed
test_mpmath.test_spence_circle ... SKIP: Skipping test: test_spence_circle: mpmath is not installed
test_mpmath.test_sinpi_zeros ... SKIP: Skipping test: test_sinpi_zeros: mpmath is not installed
test_mpmath.test_cospi_zeros ... SKIP: Skipping test: test_cospi_zeros: mpmath is not installed
test_orthogonal.TestCall.test_call ... ok
test_chebyc (test_orthogonal.TestCheby) ... ok
test_chebys (test_orthogonal.TestCheby) ... ok
test_chebyt (test_orthogonal.TestCheby) ... ok
test_chebyu (test_orthogonal.TestCheby) ... ok
test_gegenbauer (test_orthogonal.TestGegenbauer) ... ok
test_hermite (test_orthogonal.TestHermite) ... ok
test_hermitenorm (test_orthogonal.TestHermite) ... ok
test_orthogonal.test_j_roots ... ok
test_orthogonal.test_js_roots ... ok
test_orthogonal.test_h_roots ... ok
test_orthogonal.test_h_roots_asy ... ok
test_orthogonal.test_he_roots ... ok
test_orthogonal.test_cg_roots ... ok
test_orthogonal.test_t_roots ... ok
test_orthogonal.test_u_roots ... ok
test_orthogonal.test_c_roots ... ok
test_orthogonal.test_s_roots ... ok
test_orthogonal.test_ts_roots ... ok
test_orthogonal.test_us_roots ... ok
test_orthogonal.test_p_roots ... ok
test_orthogonal.test_ps_roots ... ok
test_orthogonal.test_l_roots ... ok
test_orthogonal.test_la_roots ... ok
test_orthogonal_eval.TestPolys.test_chebyc ... ok
test_orthogonal_eval.TestPolys.test_chebys ... ok
test_orthogonal_eval.TestPolys.test_chebyt ... ok
test_orthogonal_eval.TestPolys.test_chebyu ... ok
test_orthogonal_eval.TestPolys.test_gegenbauer ... ok
test_orthogonal_eval.TestPolys.test_genlaguerre ... ok
test_orthogonal_eval.TestPolys.test_hermite ... ok
test_orthogonal_eval.TestPolys.test_hermitenorm ... ok
test_orthogonal_eval.TestPolys.test_jacobi ... ok
test_orthogonal_eval.TestPolys.test_laguerre ... ok
test_orthogonal_eval.TestPolys.test_legendre ... ok
test_orthogonal_eval.TestPolys.test_sh_chebyt ... ok
test_orthogonal_eval.TestPolys.test_sh_chebyu ... ok
test_orthogonal_eval.TestPolys.test_sh_jacobi ... ok
test_orthogonal_eval.TestPolys.test_sh_legendre ... ok
test_orthogonal_eval.TestRecurrence.test_chebyc ... ok
test_orthogonal_eval.TestRecurrence.test_chebys ... ok
test_orthogonal_eval.TestRecurrence.test_chebyt ... ok
test_orthogonal_eval.TestRecurrence.test_chebyu ... ok
test_orthogonal_eval.TestRecurrence.test_gegenbauer ... ok
test_orthogonal_eval.TestRecurrence.test_genlaguerre ... ok
test_orthogonal_eval.TestRecurrence.test_hermite ... ok
test_orthogonal_eval.TestRecurrence.test_jacobi ... ok
test_orthogonal_eval.TestRecurrence.test_laguerre ... ok
test_orthogonal_eval.TestRecurrence.test_legendre ... ok
test_orthogonal_eval.TestRecurrence.test_sh_chebyt ... ok
test_orthogonal_eval.TestRecurrence.test_sh_chebyu ... ok
test_orthogonal_eval.TestRecurrence.test_sh_jacobi ... ok
test_orthogonal_eval.TestRecurrence.test_sh_legendre ... ok
test_orthogonal_eval.test_eval_chebyt ... ok
test_orthogonal_eval.test_eval_genlaguerre_restriction ... ok
test_orthogonal_eval.test_warnings ... ok
test_precompute_gammainc.test_g ... SKIP: Skipping test: test_g: mpmath is not installed
test_precompute_gammainc.test_alpha ... SKIP: Skipping test: test_alpha: sympy is not installed
test_precompute_gammainc.test_d ... SKIP: very slow test; set environment variable SCIPY_XSLOW=1 to run it
test_precompute_gammainc.test_gammainc ... SKIP: Skipping test: test_gammainc: mpmath is not installed
test_precompute_utils.TestInversion.test_log ... SKIP: Skipping test: test_log: mpmath is not installed
test_precompute_utils.TestInversion.test_sin ... SKIP: Skipping test: test_sin: mpmath is not installed
test_spence.test_consistency ... ok
test_spence.test_special_points ... ok
test1 (test_spfun_stats.TestMultiGammaLn) ... ok
test2 (test_spfun_stats.TestMultiGammaLn) ... ok
test_bararg (test_spfun_stats.TestMultiGammaLn) ... ok
test_spfun_stats.test_multigammaln_array_arg(array([[ 5.47143516,  6.19097569], ... ok
test_spfun_stats.test_multigammaln_array_arg(array([[ 5.85958841,  5.6365235 ]]), 5) ... ok
test_spfun_stats.test_multigammaln_array_arg(array([[[ 10.,  11.], ... ok
test_spfun_stats.test_multigammaln_array_arg(array([ 2.]), 3) ... ok
test_spfun_stats.test_multigammaln_array_arg(2.0, 3) ... ok
test_spherical_bessel.TestSphericalIn.test_spherical_in_at_zero ... ok
test_spherical_bessel.TestSphericalIn.test_spherical_in_exact ... ok
test_spherical_bessel.TestSphericalIn.test_spherical_in_inf_complex ... ok
test_spherical_bessel.TestSphericalIn.test_spherical_in_inf_real ... ok
test_spherical_bessel.TestSphericalIn.test_spherical_in_recurrence_complex ... ok
test_spherical_bessel.TestSphericalIn.test_spherical_in_recurrence_real ... ok
test_spherical_bessel.TestSphericalInDerivatives.test_fundamental_theorem_0 ... ok
test_spherical_bessel.TestSphericalInDerivatives.test_fundamental_theorem_7 ... ok
test_spherical_bessel.TestSphericalInDerivatives.test_spherical_in_d_zero ... ok
test_spherical_bessel.TestSphericalJn.test_spherical_jn_at_zero ... ok
test_spherical_bessel.TestSphericalJn.test_spherical_jn_exact ... ok
test_spherical_bessel.TestSphericalJn.test_spherical_jn_inf_complex ... ok
test_spherical_bessel.TestSphericalJn.test_spherical_jn_inf_real ... ok
test_spherical_bessel.TestSphericalJn.test_spherical_jn_large_arg_1 ... ok
test_spherical_bessel.TestSphericalJn.test_spherical_jn_large_arg_2 ... ok
test_spherical_bessel.TestSphericalJn.test_spherical_jn_recurrence_complex ... ok
test_spherical_bessel.TestSphericalJn.test_spherical_jn_recurrence_real ... ok
test_spherical_bessel.TestSphericalJnDerivatives.test_fundamental_theorem_0 ... ok
test_spherical_bessel.TestSphericalJnDerivatives.test_fundamental_theorem_7 ... ok
test_spherical_bessel.TestSphericalJnDerivatives.test_spherical_jn_d_zero ... ok
test_spherical_bessel.TestSphericalJnYnCrossProduct.test_spherical_jn_yn_cross_product_1 ... ok
test_spherical_bessel.TestSphericalJnYnCrossProduct.test_spherical_jn_yn_cross_product_2 ... ok
test_spherical_bessel.TestSphericalKn.test_spherical_kn_at_zero ... ok
test_spherical_bessel.TestSphericalKn.test_spherical_kn_at_zero_complex ... ok
test_spherical_bessel.TestSphericalKn.test_spherical_kn_exact ... ok
test_spherical_bessel.TestSphericalKn.test_spherical_kn_inf_complex ... ok
test_spherical_bessel.TestSphericalKn.test_spherical_kn_inf_real ... ok
test_spherical_bessel.TestSphericalKn.test_spherical_kn_recurrence_complex ... ok
test_spherical_bessel.TestSphericalKn.test_spherical_kn_recurrence_real ... ok
test_spherical_bessel.TestSphericalKnDerivatives.test_fundamental_theorem_0 ... ok
test_spherical_bessel.TestSphericalKnDerivatives.test_fundamental_theorem_7 ... ok
test_spherical_bessel.TestSphericalOld.test_sph_in ... ok
test_spherical_bessel.TestSphericalOld.test_sph_in_kn_order0 ... ok
test_spherical_bessel.TestSphericalOld.test_sph_jn ... ok
test_spherical_bessel.TestSphericalOld.test_sph_kn ... ok
test_spherical_bessel.TestSphericalOld.test_sph_yn ... ok
test_spherical_bessel.TestSphericalYn.test_spherical_yn_at_zero ... ok
test_spherical_bessel.TestSphericalYn.test_spherical_yn_at_zero_complex ... ok
test_spherical_bessel.TestSphericalYn.test_spherical_yn_exact ... ok
test_spherical_bessel.TestSphericalYn.test_spherical_yn_inf_complex ... ok
test_spherical_bessel.TestSphericalYn.test_spherical_yn_inf_real ... ok
test_spherical_bessel.TestSphericalYn.test_spherical_yn_recurrence_complex ... ok
test_spherical_bessel.TestSphericalYn.test_spherical_yn_recurrence_real ... ok
test_spherical_bessel.TestSphericalYnDerivatives.test_fundamental_theorem_0 ... ok
test_spherical_bessel.TestSphericalYnDerivatives.test_fundamental_theorem_7 ... ok
test_binned_statistic.TestBinnedStatistic.test_1d_bincode ... ok
test_binned_statistic.TestBinnedStatistic.test_1d_count ... ok
test_binned_statistic.TestBinnedStatistic.test_1d_mean ... ok
test_binned_statistic.TestBinnedStatistic.test_1d_median ... ok
test_binned_statistic.TestBinnedStatistic.test_1d_multi_values ... ok
test_binned_statistic.TestBinnedStatistic.test_1d_range_keyword ... ok
test_binned_statistic.TestBinnedStatistic.test_1d_result_attributes ... ok
test_binned_statistic.TestBinnedStatistic.test_1d_std ... ok
test_binned_statistic.TestBinnedStatistic.test_1d_sum ... ok
test_binned_statistic.TestBinnedStatistic.test_2d_bincode ... ok
test_binned_statistic.TestBinnedStatistic.test_2d_binnumbers_unraveled ... ok
test_binned_statistic.TestBinnedStatistic.test_2d_count ... ok
test_binned_statistic.TestBinnedStatistic.test_2d_mean ... ok
test_binned_statistic.TestBinnedStatistic.test_2d_mean_unicode ... ok
test_binned_statistic.TestBinnedStatistic.test_2d_median ... ok
test_binned_statistic.TestBinnedStatistic.test_2d_multi_values ... ok
test_binned_statistic.TestBinnedStatistic.test_2d_result_attributes ... ok
test_binned_statistic.TestBinnedStatistic.test_2d_std ... ok
test_binned_statistic.TestBinnedStatistic.test_2d_sum ... ok
test_binned_statistic.TestBinnedStatistic.test_dd_bincode ... ok
test_binned_statistic.TestBinnedStatistic.test_dd_binnumbers_unraveled ... ok
test_binned_statistic.TestBinnedStatistic.test_dd_count ... ok
test_binned_statistic.TestBinnedStatistic.test_dd_mean ... ok
test_binned_statistic.TestBinnedStatistic.test_dd_median ... ok
test_binned_statistic.TestBinnedStatistic.test_dd_multi_values ... ok
test_binned_statistic.TestBinnedStatistic.test_dd_result_attributes ... ok
test_binned_statistic.TestBinnedStatistic.test_dd_std ... ok
test_binned_statistic.TestBinnedStatistic.test_dd_sum ... ok
test_binned_statistic.TestBinnedStatistic.test_gh5927 ... ok
test_contingency.test_margins ... ok
test_contingency.test_expected_freq ... ok
test_contingency.test_chi2_contingency_trivial ... ok
test_contingency.test_chi2_contingency_R ... ok
test_contingency.test_chi2_contingency_g ... ok
test_contingency.test_chi2_contingency_bad_args ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,), array(inf), array(inf), 0.31367479245062579, 0.017416610612646998, 500, 'alphasample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,), 'alpha') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,), 'alpha') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,), 'alpha') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,), 'alpha') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,), 'alpha') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,), 'alpha') ... ok
test_continuous_basic.test_cont_basic('alpha', (3.570477051665046,), 0.01, array([ 0.19329688,  0.22703902,  0.21888971,  0.49113878,  0.23535211, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, 0.5, (3.570477051665046,), (0, 1), [<bound method alpha_gen.pdf of <scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>>, <bound method alpha_gen.logpdf of <scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>>, <bound method alpha_gen.cdf of <scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>>, <bound method alpha_gen.logcdf of <scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>>, <bound method alpha_gen.logsf of <scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,), 'alpha') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,), [<bound method alpha_gen.pdf of <scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>>, <bound method alpha_gen.logpdf of <scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>>, <bound method alpha_gen.cdf of <scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>>, <bound method alpha_gen.logcdf of <scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>>, <bound method alpha_gen.logsf of <scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,), 'alpha') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, (), array(0.0), array(0.11685027506808487), 0.018367440208548216, 0.11208199561517895, 500, 'anglitsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, (), 'anglit') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, (), 'anglit') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, (), 'anglit') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, (), 'anglit') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, (), 'anglit') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, (), 'anglit') ... ok
test_continuous_basic.test_cont_basic('anglit', (), 0.01, array([-0.54980079, -0.31905375, -0.37502837,  0.53313242, -0.26320997, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, 0.5, (), (0, 1), [<bound method anglit_gen.pdf of <scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>>, <bound method anglit_gen.logpdf of <scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>>, <bound method anglit_gen.cdf of <scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>>, <bound method anglit_gen.logcdf of <scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>>, <bound method anglit_gen.logsf of <scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, (), 'anglit') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, (), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, (), [<bound method anglit_gen.pdf of <scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>>, <bound method anglit_gen.logpdf of <scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>>, <bound method anglit_gen.cdf of <scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>>, <bound method anglit_gen.logcdf of <scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>>, <bound method anglit_gen.logsf of <scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, (), 'anglit') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, (), array(0.5), array(0.125), 0.51727075923046462, 0.12643304814773987, 500, 'arcsinesample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, (), 'arcsine') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, (), 'arcsine') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, (), 'arcsine') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, (), 'arcsine') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, (), 'arcsine') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, (), 'arcsine') ... ok
test_continuous_basic.test_cont_basic('arcsine', (), 0.01, array([  7.30735667e-03,   9.74967815e-02,   6.12124220e-02, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, 0.5, (), (0, 1), [<bound method arcsine_gen.pdf of <scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>>, <bound method arcsine_gen.logpdf of <scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>>, <bound method arcsine_gen.cdf of <scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>>, <bound method arcsine_gen.logcdf of <scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>>, <bound method arcsine_gen.logsf of <scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, (), 'arcsine') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, (), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, (), [<bound method arcsine_gen.pdf of <scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>>, <bound method arcsine_gen.logpdf of <scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>>, <bound method arcsine_gen.cdf of <scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>>, <bound method arcsine_gen.logcdf of <scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>>, <bound method arcsine_gen.logsf of <scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, (), 'arcsine') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368), array(0.7865381848835467), array(0.04264856955583702), 0.78535971919302638, 0.047244450357504332, 500, 'betasample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368), 'beta') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368), 'beta') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368), 'beta') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368), 'beta') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368), 'beta') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368), 'beta') ... ok
test_continuous_basic.test_cont_basic('beta', (2.3098496451481823, 0.6268795430096368), 0.01, array([ 0.82658367,  0.86232975,  0.96288766,  0.76777878,  0.98445302, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, 0.5, (2.3098496451481823, 0.6268795430096368), (0, 1), [<bound method beta_gen.pdf of <scipy.stats._continuous_distns.beta_gen object at 0x22fb950>>, <bound method beta_gen.logpdf of <scipy.stats._continuous_distns.beta_gen object at 0x22fb950>>, <bound method beta_gen.cdf of <scipy.stats._continuous_distns.beta_gen object at 0x22fb950>>, <bound method beta_gen.logcdf of <scipy.stats._continuous_distns.beta_gen object at 0x22fb950>>, <bound method beta_gen.logsf of <scipy.stats._continuous_distns.beta_gen object at 0x22fb950>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368), 'beta') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368), [<bound method beta_gen.pdf of <scipy.stats._continuous_distns.beta_gen object at 0x22fb950>>, <bound method beta_gen.logpdf of <scipy.stats._continuous_distns.beta_gen object at 0x22fb950>>, <bound method beta_gen.cdf of <scipy.stats._continuous_distns.beta_gen object at 0x22fb950>>, <bound method beta_gen.logcdf of <scipy.stats._continuous_distns.beta_gen object at 0x22fb950>>, <bound method beta_gen.logsf of <scipy.stats._continuous_distns.beta_gen object at 0x22fb950>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368), 'beta') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6), array(1.0), array(0.5), 0.99538612978827057, 0.45669922054638873, 500, 'betaprimesample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6), 'betaprime') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6), 'betaprime') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6), 'betaprime') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6), 'betaprime') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6), 'betaprime') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6), 'betaprime') ... ok
test_continuous_basic.test_cont_basic('betaprime', (5, 6), 0.01, array([ 1.36242407,  0.29406874,  1.75513939,  0.6225542 ,  3.38611435, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, 0.5, (5, 6), (0, 1), [<bound method betaprime_gen.pdf of <scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>>, <bound method betaprime_gen.logpdf of <scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>>, <bound method betaprime_gen.cdf of <scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>>, <bound method betaprime_gen.logcdf of <scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>>, <bound method betaprime_gen.logsf of <scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6), 'betaprime') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6), [<bound method betaprime_gen.pdf of <scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>>, <bound method betaprime_gen.logpdf of <scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>>, <bound method betaprime_gen.cdf of <scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>>, <bound method betaprime_gen.logcdf of <scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>>, <bound method betaprime_gen.logsf of <scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6), 'betaprime') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,), array(0.47823078529291196), array(0.08323849192231123), 0.49307116783612492, 0.082730699030605273, 500, 'bradfordsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,), 'bradford') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,), 'bradford') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,), 'bradford') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,), 'bradford') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,), 'bradford') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,), 'bradford') ... ok
test_continuous_basic.test_cont_basic('bradford', (0.29891359763170633,), 0.01, array([ 0.04801329,  0.18163659,  0.14219244,  0.92977296,  0.22490138, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, 0.5, (0.29891359763170633,), (0, 1), [<bound method bradford_gen.pdf of <scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>>, <bound method bradford_gen.logpdf of <scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>>, <bound method bradford_gen.cdf of <scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>>, <bound method bradford_gen.logcdf of <scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>>, <bound method bradford_gen.logsf of <scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,), 'bradford') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,), [<bound method bradford_gen.pdf of <scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>>, <bound method bradford_gen.logpdf of <scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>>, <bound method bradford_gen.cdf of <scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>>, <bound method bradford_gen.logcdf of <scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>>, <bound method bradford_gen.logsf of <scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,), 'bradford') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3), array(1.2109372989617821), array(0.029148272765685768), 1.217208896024172, 0.026780180283484039, 500, 'burrsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3), 'burr') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3), 'burr') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3), 'burr') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3), 'burr') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3), 'burr') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3), 'burr') ... ok
test_continuous_basic.test_cont_basic('burr', (10.5, 4.3), 0.01, array([ 1.00316451,  1.07894056,  1.06170688,  1.49110573,  1.09598197, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, 0.5, (10.5, 4.3), (0, 1), [<bound method burr_gen.pdf of <scipy.stats._continuous_distns.burr_gen object at 0x2305150>>, <bound method burr_gen.logpdf of <scipy.stats._continuous_distns.burr_gen object at 0x2305150>>, <bound method burr_gen.cdf of <scipy.stats._continuous_distns.burr_gen object at 0x2305150>>, <bound method burr_gen.logcdf of <scipy.stats._continuous_distns.burr_gen object at 0x2305150>>, <bound method burr_gen.logsf of <scipy.stats._continuous_distns.burr_gen object at 0x2305150>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3), 'burr') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3), [<bound method burr_gen.pdf of <scipy.stats._continuous_distns.burr_gen object at 0x2305150>>, <bound method burr_gen.logpdf of <scipy.stats._continuous_distns.burr_gen object at 0x2305150>>, <bound method burr_gen.cdf of <scipy.stats._continuous_distns.burr_gen object at 0x2305150>>, <bound method burr_gen.logcdf of <scipy.stats._continuous_distns.burr_gen object at 0x2305150>>, <bound method burr_gen.logsf of <scipy.stats._continuous_distns.burr_gen object at 0x2305150>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3), 'burr') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4), array(0.8402535703397125), array(0.012314608713045683), 0.84689411209712295, 0.010910425648193871, 500, 'burr12sample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4), 'burr12') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4), 'burr12') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4), 'burr12') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4), 'burr12') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4), 'burr12') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4), 'burr12') ... ok
test_continuous_basic.test_cont_basic('burr12', (10, 4), 0.01, array([ 0.65303809,  0.75232889,  0.7322035 ,  1.00016063,  0.7709057 , ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, 0.5, (10, 4), (0, 1), [<bound method burr12_gen.pdf of <scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>>, <bound method burr12_gen.logpdf of <scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>>, <bound method burr12_gen.cdf of <scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>>, <bound method burr12_gen.logcdf of <scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>>, <bound method burr12_gen.logsf of <scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4), 'burr12') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4), [<bound method burr12_gen.pdf of <scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>>, <bound method burr12_gen.logpdf of <scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>>, <bound method burr12_gen.cdf of <scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>>, <bound method burr12_gen.logcdf of <scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>>, <bound method burr12_gen.logsf of <scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4), 'burr12') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, (), array(nan), array(nan), 1.1410887188317298, 255.27806250564555, 500, 'cauchysample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, (), 'cauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, (), 'cauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, (), 'cauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, (), 'cauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, (), 'cauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, (), 'cauchy') ... ok
test_continuous_basic.test_cont_basic('cauchy', (), 0.01, array([ -5.78480232e+00,  -1.35690624e+00,  -1.83042052e+00, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, 0.5, (), (0, 1), [<bound method cauchy_gen.pdf of <scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>>, <bound method cauchy_gen.logpdf of <scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>>, <bound method cauchy_gen.cdf of <scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>>, <bound method cauchy_gen.logcdf of <scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>>, <bound method cauchy_gen.logsf of <scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, (), 'cauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, (), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, (), [<bound method cauchy_gen.pdf of <scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>>, <bound method cauchy_gen.logpdf of <scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>>, <bound method cauchy_gen.cdf of <scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>>, <bound method cauchy_gen.logcdf of <scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>>, <bound method cauchy_gen.logsf of <scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, (), 'cauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,), array(8.803500028524274), array(0.4983872477731097), 8.7717120969213198, 0.45211144086349225, 500, 'chisample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,), 'chi') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,), 'chi') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,), 'chi') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,), 'chi') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,), 'chi') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,), 'chi') ... ok
test_continuous_basic.test_cont_basic('chi', (78,), 0.01, array([  9.30122559,   7.87847345,   8.46466859,   9.14002467, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, 0.5, (78,), (0, 1), [<bound method chi_gen.pdf of <scipy.stats._continuous_distns.chi_gen object at 0x2305b10>>, <bound method chi_gen.logpdf of <scipy.stats._continuous_distns.chi_gen object at 0x2305b10>>, <bound method chi_gen.cdf of <scipy.stats._continuous_distns.chi_gen object at 0x2305b10>>, <bound method chi_gen.logcdf of <scipy.stats._continuous_distns.chi_gen object at 0x2305b10>>, <bound method chi_gen.logsf of <scipy.stats._continuous_distns.chi_gen object at 0x2305b10>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,), 'chi') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,), [<bound method chi_gen.pdf of <scipy.stats._continuous_distns.chi_gen object at 0x2305b10>>, <bound method chi_gen.logpdf of <scipy.stats._continuous_distns.chi_gen object at 0x2305b10>>, <bound method chi_gen.cdf of <scipy.stats._continuous_distns.chi_gen object at 0x2305b10>>, <bound method chi_gen.logcdf of <scipy.stats._continuous_distns.chi_gen object at 0x2305b10>>, <bound method chi_gen.logsf of <scipy.stats._continuous_distns.chi_gen object at 0x2305b10>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,), 'chi') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,), array(55.0), array(110.0), 54.482410915931247, 97.639217966893625, 500, 'chi2sample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,), 'chi2') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,), 'chi2') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,), 'chi2') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,), 'chi2') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,), 'chi2') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,), 'chi2') ... ok
test_continuous_basic.test_cont_basic('chi2', (55,), 0.01, array([ 62.08359511,  41.71758847,  49.59330626,  59.56182294, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, 0.5, (55,), (0, 1), [<bound method chi2_gen.pdf of <scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>>, <bound method chi2_gen.logpdf of <scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>>, <bound method chi2_gen.cdf of <scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>>, <bound method chi2_gen.logcdf of <scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>>, <bound method chi2_gen.logsf of <scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,), 'chi2') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,), [<bound method chi2_gen.pdf of <scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>>, <bound method chi2_gen.logpdf of <scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>>, <bound method chi2_gen.cdf of <scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>>, <bound method chi2_gen.logcdf of <scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>>, <bound method chi2_gen.logsf of <scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,), 'chi2') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,), array(0.0), array(2.317469789316161), 0.042812927055214008, 2.1013263587307538, 500, 'dgammasample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,), 'dgamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,), 'dgamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,), 'dgamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,), 'dgamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,), 'dgamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,), 'dgamma') ... ok
test_continuous_basic.test_cont_basic('dgamma', (1.1023326088288166,), 0.01, array([ -1.56950225e+00,  -6.27136318e-01,  -6.24906327e-01, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, 0.5, (1.1023326088288166,), (0, 1), [<bound method dgamma_gen.pdf of <scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>>, <bound method dgamma_gen.logpdf of <scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>>, <bound method dgamma_gen.cdf of <scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>>, <bound method dgamma_gen.logcdf of <scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>>, <bound method dgamma_gen.logsf of <scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,), 'dgamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,), [<bound method dgamma_gen.pdf of <scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>>, <bound method dgamma_gen.logpdf of <scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>>, <bound method dgamma_gen.cdf of <scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>>, <bound method dgamma_gen.logcdf of <scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>>, <bound method dgamma_gen.logsf of <scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,), 'dgamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,), array(0.0), array(0.9864464467132684), 0.022932864264314338, 1.0524606122901332, 500, 'dweibullsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,), 'dweibull') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,), 'dweibull') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,), 'dweibull') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,), 'dweibull') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,), 'dweibull') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,), 'dweibull') ... ok
test_continuous_basic.test_cont_basic('dweibull', (2.0685080649914673,), 0.01, array([-0.16363224, -2.07442221, -0.71796897,  1.5863556 , -0.97770701, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, 0.5, (2.0685080649914673,), (0, 1), [<bound method dweibull_gen.pdf of <scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>>, <bound method dweibull_gen.logpdf of <scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>>, <bound method dweibull_gen.cdf of <scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>>, <bound method dweibull_gen.logcdf of <scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>>, <bound method dweibull_gen.logsf of <scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,), 'dweibull') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,), [<bound method dweibull_gen.pdf of <scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>>, <bound method dweibull_gen.logpdf of <scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>>, <bound method dweibull_gen.cdf of <scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>>, <bound method dweibull_gen.logcdf of <scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>>, <bound method dweibull_gen.logsf of <scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,), 'dweibull') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,), array(10.0), array(10.0), 9.8360649709830188, 8.7098316478958591, 500, 'erlangsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,), 'erlang') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,), 'erlang') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,), 'erlang') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,), 'erlang') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,), 'erlang') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,), 'erlang') ... ok
test_continuous_basic.test_cont_basic('erlang', (10,), 0.01, array([ 12.04891916,   6.12007555,   8.281667  ,  11.25878582, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, 0.5, (10,), (0, 1), [<bound method erlang_gen.pdf of <scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>>, <bound method erlang_gen.logpdf of <scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>>, <bound method erlang_gen.cdf of <scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>>, <bound method erlang_gen.logcdf of <scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>>, <bound method erlang_gen.logsf of <scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,), 'erlang') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,), [<bound method erlang_gen.pdf of <scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>>, <bound method erlang_gen.logpdf of <scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>>, <bound method erlang_gen.cdf of <scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>>, <bound method erlang_gen.logcdf of <scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>>, <bound method erlang_gen.logsf of <scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,), 'erlang') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, (), array(1.0), array(1.0), 1.0278015071799511, 0.94136143490892255, 500, 'exponsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, (), 'expon') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, (), 'expon') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, (), 'expon') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, (), 'expon') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, (), 'expon') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, (), 'expon') ... ok
test_continuous_basic.test_cont_basic('expon', (), 0.01, array([  5.60273399e-02,   2.25849452e-01,   1.73353720e-01, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, 0.5, (), (0, 1), [<bound method expon_gen.pdf of <scipy.stats._continuous_distns.expon_gen object at 0x2309750>>, <bound method expon_gen.logpdf of <scipy.stats._continuous_distns.expon_gen object at 0x2309750>>, <bound method expon_gen.cdf of <scipy.stats._continuous_distns.expon_gen object at 0x2309750>>, <bound method expon_gen.logcdf of <scipy.stats._continuous_distns.expon_gen object at 0x2309750>>, <bound method expon_gen.logsf of <scipy.stats._continuous_distns.expon_gen object at 0x2309750>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, (), 'expon') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, (), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, (), [<bound method expon_gen.pdf of <scipy.stats._continuous_distns.expon_gen object at 0x2309750>>, <bound method expon_gen.logpdf of <scipy.stats._continuous_distns.expon_gen object at 0x2309750>>, <bound method expon_gen.cdf of <scipy.stats._continuous_distns.expon_gen object at 0x2309750>>, <bound method expon_gen.logcdf of <scipy.stats._continuous_distns.expon_gen object at 0x2309750>>, <bound method expon_gen.logsf of <scipy.stats._continuous_distns.expon_gen object at 0x2309750>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, (), 'expon') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,), array(1.5), array(3.25), 1.5149868079610431, 2.8534894933784045, 500, 'exponnormsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,), 'exponnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,), 'exponnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,), 'exponnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,), 'exponnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,), 'exponnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,), 'exponnorm') ... ok
test_continuous_basic.test_cont_basic('exponnorm', (1.5,), 0.01, array([  7.90314255e-01,   1.65888619e-01,  -1.30210150e+00, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, 0.5, (1.5,), (0, 1), [<bound method exponnorm_gen.pdf of <scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>>, <bound method exponnorm_gen.logpdf of <scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>>, <bound method exponnorm_gen.cdf of <scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>>, <bound method exponnorm_gen.logcdf of <scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>>, <bound method exponnorm_gen.logsf of <scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,), 'exponnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,), [<bound method exponnorm_gen.pdf of <scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>>, <bound method exponnorm_gen.logpdf of <scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>>, <bound method exponnorm_gen.cdf of <scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>>, <bound method exponnorm_gen.logcdf of <scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>>, <bound method exponnorm_gen.logsf of <scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,), 'exponnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,), array(0.7662233066738208), array(0.05900404926303959), 0.78017401815619924, 0.054499283630077729, 500, 'exponpowsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,), 'exponpow') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,), 'exponpow') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,), 'exponpow') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,), 'exponpow') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,), 'exponpow') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,), 'exponpow') ... ok
test_continuous_basic.test_cont_basic('exponpow', (2.697119160358469,), 0.01, array([ 0.34004814,  0.55430046,  0.50673388,  1.11109693,  0.59950274, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, 0.5, (2.697119160358469,), (0, 1), [<bound method exponpow_gen.pdf of <scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>>, <bound method exponpow_gen.logpdf of <scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>>, <bound method exponpow_gen.cdf of <scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>>, <bound method exponpow_gen.logcdf of <scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>>, <bound method exponpow_gen.logsf of <scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,), 'exponpow') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,), [<bound method exponpow_gen.pdf of <scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>>, <bound method exponpow_gen.logpdf of <scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>>, <bound method exponpow_gen.cdf of <scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>>, <bound method exponpow_gen.logcdf of <scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>>, <bound method exponpow_gen.logsf of <scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,), 'exponpow') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174), array(1.2873418037984081), array(0.18119174498958057), 1.3078688230441784, 0.16993814077150374, 500, 'exponweibsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174), 'exponweib') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174), 'exponweib') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174), 'exponweib') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174), 'exponweib') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174), 'exponweib') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174), 'exponweib') ... ok
test_continuous_basic.test_cont_basic('exponweib', (2.8923945291034436, 1.9505288745913174), 0.01, array([ 0.6679773 ,  0.92369294,  0.86547934,  1.98718335,  0.98075012, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, 0.5, (2.8923945291034436, 1.9505288745913174), (0, 1), [<bound method exponweib_gen.pdf of <scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>>, <bound method exponweib_gen.logpdf of <scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>>, <bound method exponweib_gen.cdf of <scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>>, <bound method exponweib_gen.logcdf of <scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>>, <bound method exponweib_gen.logsf of <scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174), 'exponweib') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174), [<bound method exponweib_gen.pdf of <scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>>, <bound method exponweib_gen.logpdf of <scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>>, <bound method exponweib_gen.cdf of <scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>>, <bound method exponweib_gen.logcdf of <scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>>, <bound method exponweib_gen.logsf of <scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174), 'exponweib') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18), array(1.125), array(0.2805572660098522), 1.1058441497371259, 0.27610999566745342, 500, 'fsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18), 'f') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18), 'f') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18), 'f') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18), 'f') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18), 'f') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18), 'f') ... ok
test_continuous_basic.test_cont_basic('f', (29, 18), 0.01, array([ 1.97890841,  0.76073324,  0.85234586,  0.75918528,  1.64458156, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, 0.5, (29, 18), (0, 1), [<bound method f_gen.pdf of <scipy.stats._continuous_distns.f_gen object at 0x237d610>>, <bound method f_gen.logpdf of <scipy.stats._continuous_distns.f_gen object at 0x237d610>>, <bound method f_gen.cdf of <scipy.stats._continuous_distns.f_gen object at 0x237d610>>, <bound method f_gen.logcdf of <scipy.stats._continuous_distns.f_gen object at 0x237d610>>, <bound method f_gen.logsf of <scipy.stats._continuous_distns.f_gen object at 0x237d610>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18), 'f') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18), [<bound method f_gen.pdf of <scipy.stats._continuous_distns.f_gen object at 0x237d610>>, <bound method f_gen.logpdf of <scipy.stats._continuous_distns.f_gen object at 0x237d610>>, <bound method f_gen.cdf of <scipy.stats._continuous_distns.f_gen object at 0x237d610>>, <bound method f_gen.logcdf of <scipy.stats._continuous_distns.f_gen object at 0x237d610>>, <bound method f_gen.logsf of <scipy.stats._continuous_distns.f_gen object at 0x237d610>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18), 'f') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,), array(421.5), array(884942.25), 440.64984271265484, 761399.69888533256, 500, 'fatiguelifesample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,), 'fatiguelife') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,), 'fatiguelife') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,), 'fatiguelife') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,), 'fatiguelife') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,), 'fatiguelife') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,), 'fatiguelife') ... ok
test_continuous_basic.test_cont_basic('fatiguelife', (29,), 0.01, array([  4.26767310e+02,   6.83324581e-04,   2.87160915e+02, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, 0.5, (29,), (0, 1), [<bound method fatiguelife_gen.pdf of <scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>>, <bound method fatiguelife_gen.logpdf of <scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>>, <bound method fatiguelife_gen.cdf of <scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>>, <bound method fatiguelife_gen.logcdf of <scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>>, <bound method fatiguelife_gen.logsf of <scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,), 'fatiguelife') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,), [<bound method fatiguelife_gen.pdf of <scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>>, <bound method fatiguelife_gen.logpdf of <scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>>, <bound method fatiguelife_gen.cdf of <scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>>, <bound method fatiguelife_gen.logcdf of <scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>>, <bound method fatiguelife_gen.logsf of <scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,), 'fatiguelife') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,), array(1.19619763403311), array(0.8476350940310082), 1.2116968934029964, 0.6702848337002123, 500, 'fisksample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,), 'fisk') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,), 'fisk') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,), 'fisk') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,), 'fisk') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,), 'fisk') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,), 'fisk') ... ok
test_continuous_basic.test_cont_basic('fisk', (3.085754862225318,), 0.01, array([ 0.39660239,  0.64089145,  0.58309115,  2.40778694,  0.69897509, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, 0.5, (3.085754862225318,), (0, 1), [<bound method fisk_gen.pdf of <scipy.stats._continuous_distns.fisk_gen object at 0x2305650>>, <bound method fisk_gen.logpdf of <scipy.stats._continuous_distns.fisk_gen object at 0x2305650>>, <bound method fisk_gen.cdf of <scipy.stats._continuous_distns.fisk_gen object at 0x2305650>>, <bound method fisk_gen.logcdf of <scipy.stats._continuous_distns.fisk_gen object at 0x2305650>>, <bound method fisk_gen.logsf of <scipy.stats._continuous_distns.fisk_gen object at 0x2305650>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,), 'fisk') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,), [<bound method fisk_gen.pdf of <scipy.stats._continuous_distns.fisk_gen object at 0x2305650>>, <bound method fisk_gen.logpdf of <scipy.stats._continuous_distns.fisk_gen object at 0x2305650>>, <bound method fisk_gen.cdf of <scipy.stats._continuous_distns.fisk_gen object at 0x2305650>>, <bound method fisk_gen.logcdf of <scipy.stats._continuous_distns.fisk_gen object at 0x2305650>>, <bound method fisk_gen.logsf of <scipy.stats._continuous_distns.fisk_gen object at 0x2305650>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,), 'fisk') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,), array(inf), array(inf), 6.5390809793828861, 246.82944549848253, 500, 'foldcauchysample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,), 'foldcauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,), 'foldcauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,), 'foldcauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,), 'foldcauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,), 'foldcauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,), 'foldcauchy') ... ok
test_continuous_basic.test_cont_basic('foldcauchy', (4.716467345583189,), 0.01, array([  1.06833498e+00,   3.35956111e+00,   2.88604683e+00, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, 0.5, (4.716467345583189,), (0, 1), [<bound method foldcauchy_gen.pdf of <scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>>, <bound method foldcauchy_gen.logpdf of <scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>>, <bound method foldcauchy_gen.cdf of <scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>>, <bound method foldcauchy_gen.logcdf of <scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>>, <bound method foldcauchy_gen.logsf of <scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,), 'foldcauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,), [<bound method foldcauchy_gen.pdf of <scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>>, <bound method foldcauchy_gen.logpdf of <scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>>, <bound method foldcauchy_gen.cdf of <scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>>, <bound method foldcauchy_gen.logcdf of <scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>>, <bound method foldcauchy_gen.logsf of <scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,), 'foldcauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,), array(1.97141281966251), array(0.9243248272159761), 2.0130752480273593, 0.93181489170164733, 500, 'foldnormsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,), 'foldnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,), 'foldnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,), 'foldnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,), 'foldnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,), 'foldnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,), 'foldnorm') ... ok
test_continuous_basic.test_cont_basic('foldnorm', (1.952125337355587,), 0.01, array([ 2.66281295,  0.63389405,  2.53442918,  3.00671656,  1.48351371, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, 0.5, (1.952125337355587,), (0, 1), [<bound method foldnorm_gen.pdf of <scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>>, <bound method foldnorm_gen.logpdf of <scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>>, <bound method foldnorm_gen.cdf of <scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>>, <bound method foldnorm_gen.logcdf of <scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>>, <bound method foldnorm_gen.logsf of <scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,), 'foldnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,), [<bound method foldnorm_gen.pdf of <scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>>, <bound method foldnorm_gen.logpdf of <scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>>, <bound method foldnorm_gen.cdf of <scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>>, <bound method foldnorm_gen.logcdf of <scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>>, <bound method foldnorm_gen.logsf of <scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,), 'foldnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,), array(-0.9014841669765833), array(0.07628805428396324), -0.88601789019302302, 0.070655885568653737, 500, 'frechet_lsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,), 'frechet_l') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,), 'frechet_l') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,), 'frechet_l') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,), 'frechet_l') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,), 'frechet_l') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,), 'frechet_l') ... ok
test_continuous_basic.test_cont_basic('frechet_l', (3.627991125558324,), 0.01, array([-1.34232191, -1.13805764, -1.18264053, -0.46940483, -1.09527244, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, -0.5, (3.627991125558324,), (0, 1), [<bound method frechet_l_gen.pdf of <scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>>, <bound method frechet_l_gen.logpdf of <scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>>, <bound method frechet_l_gen.cdf of <scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>>, <bound method frechet_l_gen.logcdf of <scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>>, <bound method frechet_l_gen.logsf of <scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,), 'frechet_l') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,), [<bound method frechet_l_gen.pdf of <scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>>, <bound method frechet_l_gen.logpdf of <scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>>, <bound method frechet_l_gen.cdf of <scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>>, <bound method frechet_l_gen.logcdf of <scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>>, <bound method frechet_l_gen.logsf of <scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,), 'frechet_l') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,), array(0.8874727066669884), array(0.23766896745884436), 0.90892606649917229, 0.22728316833696841, 500, 'frechet_rsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,), 'frechet_r') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,), 'frechet_r') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,), 'frechet_r') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,), 'frechet_r') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,), 'frechet_r') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,), 'frechet_r') ... ok
test_continuous_basic.test_cont_basic('frechet_r', (1.8928171603534227,), 0.01, array([ 0.21815411,  0.45563195,  0.39620364,  1.7149361 ,  0.51622133, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, 0.5, (1.8928171603534227,), (0, 1), [<bound method frechet_r_gen.pdf of <scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>>, <bound method frechet_r_gen.logpdf of <scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>>, <bound method frechet_r_gen.cdf of <scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>>, <bound method frechet_r_gen.logcdf of <scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>>, <bound method frechet_r_gen.logsf of <scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,), 'frechet_r') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,), [<bound method frechet_r_gen.pdf of <scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>>, <bound method frechet_r_gen.logpdf of <scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>>, <bound method frechet_r_gen.cdf of <scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>>, <bound method frechet_r_gen.logcdf of <scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>>, <bound method frechet_r_gen.logsf of <scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,), 'frechet_r') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,), array(1.9932305483800778), array(1.9932305483800778), 1.9122509111901573, 1.6434812827802427, 500, 'gammasample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,), 'gamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,), 'gamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,), 'gamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,), 'gamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,), 'gamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,), 'gamma') ... ok
test_continuous_basic.test_cont_basic('gamma', (1.9932305483800778,), 0.01, array([ 2.75420362,  0.47491994,  1.12639276,  2.36854395,  3.76515117, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, 0.5, (1.9932305483800778,), (0, 1), [<bound method gamma_gen.pdf of <scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>>, <bound method gamma_gen.logpdf of <scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>>, <bound method gamma_gen.cdf of <scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>>, <bound method gamma_gen.logcdf of <scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>>, <bound method gamma_gen.logsf of <scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,), 'gamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,), [<bound method gamma_gen.pdf of <scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>>, <bound method gamma_gen.logpdf of <scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>>, <bound method gamma_gen.cdf of <scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>>, <bound method gamma_gen.logcdf of <scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>>, <bound method gamma_gen.logsf of <scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,), 'gamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,), array(0.6862870211931967), array(2.226241073208163), 0.73543589359791306, 2.0520236584037419, 500, 'genextremesample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,), 'genextreme') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,), 'genextreme') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,), 'genextreme') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,), 'genextreme') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,), 'genextreme') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,), 'genextreme') ... ok
test_continuous_basic.test_cont_basic('genextreme', (-0.1,), 0.01, array([ -1.01302134e+00,  -4.58346149e-01,  -5.90445020e-01, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, 0.5, (-0.1,), (0, 1), [<bound method genextreme_gen.pdf of <scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>>, <bound method genextreme_gen.logpdf of <scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>>, <bound method genextreme_gen.cdf of <scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>>, <bound method genextreme_gen.logcdf of <scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>>, <bound method genextreme_gen.logsf of <scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,), 'genextreme') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,), [<bound method genextreme_gen.pdf of <scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>>, <bound method genextreme_gen.logpdf of <scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>>, <bound method genextreme_gen.cdf of <scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>>, <bound method genextreme_gen.logcdf of <scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>>, <bound method genextreme_gen.logsf of <scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,), 'genextreme') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276), array(1.5702162249275609), array(0.06031754975858039), 1.583894237348364, 0.055266524800612317, 500, 'gengammasample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276), 'gengamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276), 'gengamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276), 'gengamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276), 'gengamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276), 'gengamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276), 'gengamma') ... ok
test_continuous_basic.test_cont_basic('gengamma', (4.4162385429431925, 3.119309167924276), 0.01, array([ 1.17564624,  1.36427261,  1.3238387 ,  1.94752296,  1.40269517, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, 0.5, (4.4162385429431925, 3.119309167924276), (0, 1), [<bound method gengamma_gen.pdf of <scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>>, <bound method gengamma_gen.logpdf of <scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>>, <bound method gengamma_gen.cdf of <scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>>, <bound method gengamma_gen.logcdf of <scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>>, <bound method gengamma_gen.logsf of <scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276), 'gengamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276), [<bound method gengamma_gen.pdf of <scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>>, <bound method gengamma_gen.logpdf of <scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>>, <bound method gengamma_gen.cdf of <scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>>, <bound method gengamma_gen.logcdf of <scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>>, <bound method gengamma_gen.logsf of <scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276), 'gengamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276), array(0.6537166259223826), array(0.012328139631863633), 0.65826623914717497, 0.011491546646823888, 500, 'gengammasample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276), 'gengamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276), 'gengamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276), 'gengamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276), 'gengamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276), 'gengamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276), 'gengamma') ... ok
test_continuous_basic.test_cont_basic('gengamma', (4.4162385429431925, -3.119309167924276), 0.01, array([ 0.50921574,  0.56303535,  0.55056778,  0.83894109,  0.57542326, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, 0.5, (4.4162385429431925, -3.119309167924276), (0, 1), [<bound method gengamma_gen.pdf of <scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>>, <bound method gengamma_gen.logpdf of <scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>>, <bound method gengamma_gen.cdf of <scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>>, <bound method gengamma_gen.logcdf of <scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>>, <bound method gengamma_gen.logsf of <scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276), 'gengamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276), [<bound method gengamma_gen.pdf of <scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>>, <bound method gengamma_gen.logpdf of <scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>>, <bound method gengamma_gen.cdf of <scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>>, <bound method gengamma_gen.logcdf of <scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>>, <bound method gengamma_gen.logsf of <scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276), 'gengamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,), array(0.7059765645084812), array(0.1245976512110375), 0.72452837582593244, 0.12092761155861491, 500, 'genhalflogisticsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,), 'genhalflogistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,), 'genhalflogistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,), 'genhalflogistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,), 'genhalflogistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,), 'genhalflogistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,), 'genhalflogistic') ... ok
test_continuous_basic.test_cont_basic('genhalflogistic', (0.7727472780992932,), 0.01, array([ 0.10461059,  0.351378  ,  0.2843235 ,  1.20321768,  0.42030213, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, 0.5, (0.7727472780992932,), (0, 1), [<bound method genhalflogistic_gen.pdf of <scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>>, <bound method genhalflogistic_gen.logpdf of <scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>>, <bound method genhalflogistic_gen.cdf of <scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>>, <bound method genhalflogistic_gen.logcdf of <scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>>, <bound method genhalflogistic_gen.logsf of <scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,), 'genhalflogistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,), [<bound method genhalflogistic_gen.pdf of <scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>>, <bound method genhalflogistic_gen.logpdf of <scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>>, <bound method genhalflogistic_gen.cdf of <scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>>, <bound method genhalflogistic_gen.logcdf of <scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>>, <bound method genhalflogistic_gen.logsf of <scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,), 'genhalflogistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,), array(-1.8996417990533176), array(8.552010763257432), -1.701447808845866, 6.8944989242387491, 500, 'genlogisticsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,), 'genlogistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,), 'genlogistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,), 'genlogistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,), 'genlogistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,), 'genlogistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,), 'genlogistic') ... ok
test_continuous_basic.test_cont_basic('genlogistic', (0.41192440799679475,), 0.01, array([ -7.06305768e+00,  -3.86017464e+00,  -4.44999937e+00, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, 0.5, (0.41192440799679475,), (0, 1), [<bound method genlogistic_gen.pdf of <scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>>, <bound method genlogistic_gen.logpdf of <scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>>, <bound method genlogistic_gen.cdf of <scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>>, <bound method genlogistic_gen.logcdf of <scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>>, <bound method genlogistic_gen.logsf of <scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,), 'genlogistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,), [<bound method genlogistic_gen.pdf of <scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>>, <bound method genlogistic_gen.logpdf of <scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>>, <bound method genlogistic_gen.cdf of <scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>>, <bound method genlogistic_gen.logcdf of <scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>>, <bound method genlogistic_gen.logsf of <scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,), 'genlogistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,), array(0.0), array(0.9781522540594563), 0.056473800459239956, 0.8500014137204025, 500, 'gennormsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,), 'gennorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,), 'gennorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,), 'gennorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,), 'gennorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,), 'gennorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,), 'gennorm') ... ok
test_continuous_basic.test_cont_basic('gennorm', (1.2988442399460265,), 0.01, array([ -1.57942031e+00,  -7.16293419e-01,  -8.84042538e-01, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, 0.5, (1.2988442399460265,), (0, 1), [<bound method gennorm_gen.pdf of <scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>>, <bound method gennorm_gen.logpdf of <scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>>, <bound method gennorm_gen.cdf of <scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>>, <bound method gennorm_gen.logcdf of <scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>>, <bound method gennorm_gen.logsf of <scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,), 'gennorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,), [<bound method gennorm_gen.pdf of <scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>>, <bound method gennorm_gen.logpdf of <scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>>, <bound method gennorm_gen.cdf of <scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>>, <bound method gennorm_gen.logcdf of <scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>>, <bound method gennorm_gen.logsf of <scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,), 'gennorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,), array(2.184324004621562), array(7.411379016778527), 2.2353945748365187, 6.7768295556239977, 500, 'halfgennormsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,), 'halfgennorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,), 'halfgennorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,), 'halfgennorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,), 'halfgennorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,), 'halfgennorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,), 'halfgennorm') ... ok
test_continuous_basic.test_cont_basic('halfgennorm', (0.6748054997000371,), 0.01, array([  7.96067379e-02,   3.53771764e-01,   2.65029915e-01, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, 0.5, (0.6748054997000371,), (0, 1), [<bound method halfgennorm_gen.pdf of <scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>>, <bound method halfgennorm_gen.logpdf of <scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>>, <bound method halfgennorm_gen.cdf of <scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>>, <bound method halfgennorm_gen.logcdf of <scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>>, <bound method halfgennorm_gen.logsf of <scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,), 'halfgennorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,), [<bound method halfgennorm_gen.pdf of <scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>>, <bound method halfgennorm_gen.logpdf of <scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>>, <bound method halfgennorm_gen.cdf of <scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>>, <bound method halfgennorm_gen.logcdf of <scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>>, <bound method halfgennorm_gen.logsf of <scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,), 'halfgennorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,), array(1.1111111111111116), array(1.543209876543199), 1.1380337927959163, 1.4171766392561727, 500, 'genparetosample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,), 'genpareto') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,), 'genpareto') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,), 'genpareto') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,), 'genpareto') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,), 'genpareto') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,), 'genpareto') ... ok
test_continuous_basic.test_cont_basic('genpareto', (0.1,), 0.01, array([  5.61845866e-02,   2.28419160e-01,   1.74865016e-01, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, 0.5, (0.1,), (0, 1), [<bound method genpareto_gen.pdf of <scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>>, <bound method genpareto_gen.logpdf of <scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>>, <bound method genpareto_gen.cdf of <scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>>, <bound method genpareto_gen.logcdf of <scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>>, <bound method genpareto_gen.logsf of <scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,), 'genpareto') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,), [<bound method genpareto_gen.pdf of <scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>>, <bound method genpareto_gen.logpdf of <scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>>, <bound method genpareto_gen.cdf of <scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>>, <bound method genpareto_gen.logcdf of <scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>>, <bound method genpareto_gen.logsf of <scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,), 'genpareto') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, (), array(1.6487212707001282), array(4.670774270471604), 1.6771449621521484, 3.41978405258119, 500, 'gilbratsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, (), 'gilbrat') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, (), 'gilbrat') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, (), 'gilbrat') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, (), 'gilbrat') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, (), 'gilbrat') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, (), 'gilbrat') ... ok
test_continuous_basic.test_cont_basic('gilbrat', (), 0.01, array([  2.03539033,   0.26760821,   1.79015792,   2.87080138, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, 0.5, (), (0, 1), [<bound method gilbrat_gen.pdf of <scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>>, <bound method gilbrat_gen.logpdf of <scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>>, <bound method gilbrat_gen.cdf of <scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>>, <bound method gilbrat_gen.logcdf of <scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>>, <bound method gilbrat_gen.logsf of <scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, (), 'gilbrat') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, (), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, (), [<bound method gilbrat_gen.pdf of <scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>>, <bound method gilbrat_gen.logpdf of <scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>>, <bound method gilbrat_gen.cdf of <scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>>, <bound method gilbrat_gen.logcdf of <scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>>, <bound method gilbrat_gen.logsf of <scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, (), 'gilbrat') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,), array(0.6184238176289112), array(0.18616258957405357), 0.63690201333766416, 0.1817927873650822, 500, 'gompertzsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,), 'gompertz') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,), 'gompertz') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,), 'gompertz') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,), 'gompertz') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,), 'gompertz') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,), 'gompertz') ... ok
test_continuous_basic.test_cont_basic('gompertz', (0.9474371307510525,), 0.01, array([ 0.05745318,  0.21380355,  0.16802925,  1.36858879,  0.26384472, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, 0.5, (0.9474371307510525,), (0, 1), [<bound method gompertz_gen.pdf of <scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>>, <bound method gompertz_gen.logpdf of <scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>>, <bound method gompertz_gen.cdf of <scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>>, <bound method gompertz_gen.logcdf of <scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>>, <bound method gompertz_gen.logsf of <scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,), 'gompertz') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,), [<bound method gompertz_gen.pdf of <scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>>, <bound method gompertz_gen.logpdf of <scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>>, <bound method gompertz_gen.cdf of <scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>>, <bound method gompertz_gen.logcdf of <scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>>, <bound method gompertz_gen.logsf of <scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,), 'gompertz') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, (), array(-0.5772156649015329), array(1.6449340668482264), -0.48813688091010943, 1.3517840299292794, 500, 'gumbel_lsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, (), 'gumbel_l') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, (), 'gumbel_l') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, (), 'gumbel_l') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, (), 'gumbel_l') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, (), 'gumbel_l') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, (), 'gumbel_l') ... ok
test_continuous_basic.test_cont_basic('gumbel_l', (), 0.01, array([ -2.88191549e+00,  -1.48788664e+00,  -1.75242115e+00, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, 0.5, (), (0, 1), [<bound method gumbel_l_gen.pdf of <scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>>, <bound method gumbel_l_gen.logpdf of <scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>>, <bound method gumbel_l_gen.cdf of <scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>>, <bound method gumbel_l_gen.logcdf of <scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>>, <bound method gumbel_l_gen.logsf of <scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, (), 'gumbel_l') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, (), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, (), [<bound method gumbel_l_gen.pdf of <scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>>, <bound method gumbel_l_gen.logpdf of <scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>>, <bound method gumbel_l_gen.cdf of <scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>>, <bound method gumbel_l_gen.logcdf of <scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>>, <bound method gumbel_l_gen.logsf of <scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, (), 'gumbel_l') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, (), array(0.5772156649015329), array(1.6449340668482264), 0.62929461732133074, 1.5374714001867409, 500, 'gumbel_rsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, (), 'gumbel_r') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, (), 'gumbel_r') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, (), 'gumbel_r') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, (), 'gumbel_r') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, (), 'gumbel_r') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, (), 'gumbel_r') ... ok
test_continuous_basic.test_cont_basic('gumbel_r', (), 0.01, array([ -1.06808379e+00,  -4.69182629e-01,  -6.08594328e-01, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, 0.5, (), (0, 1), [<bound method gumbel_r_gen.pdf of <scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>>, <bound method gumbel_r_gen.logpdf of <scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>>, <bound method gumbel_r_gen.cdf of <scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>>, <bound method gumbel_r_gen.logcdf of <scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>>, <bound method gumbel_r_gen.logsf of <scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, (), 'gumbel_r') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, (), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, (), [<bound method gumbel_r_gen.pdf of <scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>>, <bound method gumbel_r_gen.logpdf of <scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>>, <bound method gumbel_r_gen.cdf of <scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>>, <bound method gumbel_r_gen.logcdf of <scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>>, <bound method gumbel_r_gen.logsf of <scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, (), 'gumbel_r') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, (), array(inf), array(inf), 4.8882174751255718, 944.79928162755391, 500, 'halfcauchysample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, (), 'halfcauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, (), 'halfcauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, (), 'halfcauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, (), 'halfcauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, (), 'halfcauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, (), 'halfcauchy') ... ok
test_continuous_basic.test_cont_basic('halfcauchy', (), 0.01, array([  8.57971282e-02,   3.28678094e-01,   2.55350148e-01, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, 0.5, (), (0, 1), [<bound method halfcauchy_gen.pdf of <scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>>, <bound method halfcauchy_gen.logpdf of <scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>>, <bound method halfcauchy_gen.cdf of <scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>>, <bound method halfcauchy_gen.logcdf of <scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>>, <bound method halfcauchy_gen.logsf of <scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, (), 'halfcauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, (), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, (), [<bound method halfcauchy_gen.pdf of <scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>>, <bound method halfcauchy_gen.logpdf of <scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>>, <bound method halfcauchy_gen.cdf of <scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>>, <bound method halfcauchy_gen.logcdf of <scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>>, <bound method halfcauchy_gen.logsf of <scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, (), 'halfcauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, (), array(1.3862943611198906), array(1.3680560780236473), 1.4245028078549753, 1.3005922789093747, 500, 'halflogisticsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, (), 'halflogistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, (), 'halflogistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, (), 'halflogistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, (), 'halflogistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, (), 'halflogistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, (), 'halflogistic') ... ok
test_continuous_basic.test_cont_basic('halflogistic', (), 0.01, array([ 0.10908146,  0.40997088,  0.3210492 ,  3.43730425,  0.50822252, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, 0.5, (), (0, 1), [<bound method halflogistic_gen.pdf of <scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>>, <bound method halflogistic_gen.logpdf of <scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>>, <bound method halflogistic_gen.cdf of <scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>>, <bound method halflogistic_gen.logcdf of <scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>>, <bound method halflogistic_gen.logsf of <scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, (), 'halflogistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, (), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, (), [<bound method halflogistic_gen.pdf of <scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>>, <bound method halflogistic_gen.logpdf of <scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>>, <bound method halflogistic_gen.cdf of <scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>>, <bound method halflogistic_gen.logcdf of <scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>>, <bound method halflogistic_gen.logsf of <scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, (), 'halflogistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, (), array(0.7978845608028654), array(0.3633802276324186), 0.82379228338886956, 0.35647010671566159, 500, 'halfnormsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, (), 'halfnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, (), 'halfnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, (), 'halfnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, (), 'halfnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, (), 'halfnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, (), 'halfnorm') ... ok
test_continuous_basic.test_cont_basic('halfnorm', (), 0.01, array([ 0.71068761,  1.31823129,  0.58230384,  1.05459122,  0.46861163, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, 0.5, (), (0, 1), [<bound method halfnorm_gen.pdf of <scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>>, <bound method halfnorm_gen.logpdf of <scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>>, <bound method halfnorm_gen.cdf of <scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>>, <bound method halfnorm_gen.logcdf of <scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>>, <bound method halfnorm_gen.logsf of <scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, (), 'halfnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, (), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, (), [<bound method halfnorm_gen.pdf of <scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>>, <bound method halfnorm_gen.logpdf of <scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>>, <bound method halfnorm_gen.cdf of <scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>>, <bound method halfnorm_gen.logcdf of <scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>>, <bound method halfnorm_gen.logsf of <scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, (), 'halfnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, (), array(0.0), array(2.4674011002723395), 0.090205448723165937, 2.1073463624281321, 500, 'hypsecantsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, (), 'hypsecant') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, (), 'hypsecant') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, (), 'hypsecant') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, (), 'hypsecant') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, (), 'hypsecant') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, (), 'hypsecant') ... ok
test_continuous_basic.test_cont_basic('hypsecant', (), 0.01, array([ -2.45576974e+00,  -1.11267644e+00,  -1.36511954e+00, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, 0.5, (), (0, 1), [<bound method hypsecant_gen.pdf of <scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>>, <bound method hypsecant_gen.logpdf of <scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>>, <bound method hypsecant_gen.cdf of <scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>>, <bound method hypsecant_gen.logcdf of <scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>>, <bound method hypsecant_gen.logsf of <scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, (), 'hypsecant') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, (), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, (), [<bound method hypsecant_gen.pdf of <scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>>, <bound method hypsecant_gen.logpdf of <scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>>, <bound method hypsecant_gen.cdf of <scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>>, <bound method hypsecant_gen.logcdf of <scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>>, <bound method hypsecant_gen.logsf of <scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, (), 'hypsecant') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,), array(0.32606218851545515), array(0.05143769444574254), 0.33028590413824055, 0.044353205349009189, 500, 'invgammasample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,), 'invgamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,), 'invgamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,), 'invgamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,), 'invgamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,), 'invgamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,), 'invgamma') ... ok
test_continuous_basic.test_cont_basic('invgamma', (4.066899613699307,), 0.01, array([ 0.12955324,  0.17929917,  0.16675154,  0.66065432,  0.19241187, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, 0.5, (4.066899613699307,), (0, 1), [<bound method invgamma_gen.pdf of <scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>>, <bound method invgamma_gen.logpdf of <scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>>, <bound method invgamma_gen.cdf of <scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>>, <bound method invgamma_gen.logcdf of <scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>>, <bound method invgamma_gen.logsf of <scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,), 'invgamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,), [<bound method invgamma_gen.pdf of <scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>>, <bound method invgamma_gen.logpdf of <scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>>, <bound method invgamma_gen.cdf of <scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>>, <bound method invgamma_gen.logcdf of <scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>>, <bound method invgamma_gen.logsf of <scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,), 'invgamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,), array(0.14546264555347513), array(0.0030778995751055637), 0.14868174489819416, 0.0028988442995278394, 500, 'invgausssample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,), 'invgauss') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,), 'invgauss') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,), 'invgauss') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,), 'invgauss') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,), 'invgauss') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,), 'invgauss') ... ok
test_continuous_basic.test_cont_basic('invgauss', (0.14546264555347513,), 0.01, array([ 0.19059476,  0.23925666,  0.12168429,  0.1750588 ,  0.0919458 , ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, 0.5, (0.14546264555347513,), (0, 1), [<bound method invgauss_gen.pdf of <scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>>, <bound method invgauss_gen.logpdf of <scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>>, <bound method invgauss_gen.cdf of <scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>>, <bound method invgauss_gen.logcdf of <scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>>, <bound method invgauss_gen.logsf of <scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,), 'invgauss') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,), [<bound method invgauss_gen.pdf of <scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>>, <bound method invgauss_gen.logpdf of <scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>>, <bound method invgauss_gen.cdf of <scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>>, <bound method invgauss_gen.logcdf of <scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>>, <bound method invgauss_gen.logsf of <scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,), 'invgauss') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063), array(0.20952073643389102), array(0.002660854446324197), 0.21201214525530046, 0.002495093358288241, 500, 'johnsonsbsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063), 'johnsonsb') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063), 'johnsonsb') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063), 'johnsonsb') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063), 'johnsonsb') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063), 'johnsonsb') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063), 'johnsonsb') ... ok
test_continuous_basic.test_cont_basic('johnsonsb', (4.317267509914106, 3.1837781130785063), 0.01, array([ 0.1347666 ,  0.16548787,  0.15849644,  0.29449495,  0.17234755, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, 0.5, (4.317267509914106, 3.1837781130785063), (0, 1), [<bound method johnsonsb_gen.pdf of <scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>>, <bound method johnsonsb_gen.logpdf of <scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>>, <bound method johnsonsb_gen.cdf of <scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>>, <bound method johnsonsb_gen.logcdf of <scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>>, <bound method johnsonsb_gen.logsf of <scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063), 'johnsonsb') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063), [<bound method johnsonsb_gen.pdf of <scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>>, <bound method johnsonsb_gen.logpdf of <scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>>, <bound method johnsonsb_gen.cdf of <scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>>, <bound method johnsonsb_gen.logcdf of <scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>>, <bound method johnsonsb_gen.logsf of <scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063), 'johnsonsb') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0), array(0.5772156649133174), array(1.6449340668314645), 0.62929461732133074, 1.5374714001867409, 500, 'kappa4sample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0), 'kappa4') ... ok
test_continuous_basic.test_cont_basic('kappa4', (0.0, 0.0), 0.01, array([ -1.06808379e+00,  -4.69182629e-01,  -6.08594328e-01, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, 0.5, (0.0, 0.0), (0, 1), [<bound method kappa4_gen.pdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logpdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.cdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logcdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logsf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0), [<bound method kappa4_gen.pdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logpdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.cdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logcdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logsf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1), array(nan), array(nan), 0.4915735126975268, 1.3245620271458254, 500, 'kappa4sample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1), 'kappa4') ... ok
test_continuous_basic.test_cont_basic('kappa4', (-0.1, 0.1), 0.01, array([-1.2942642 , -0.56559809, -0.72711291,  2.39713117, -0.40865346, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, 0.5, (-0.1, 0.1), (0, 1), [<bound method kappa4_gen.pdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logpdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.cdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logcdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logsf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1), [<bound method kappa4_gen.pdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logpdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.cdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logcdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logsf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1), array(0.4864923013495951), array(1.310045507307856), 0.54037798573256834, 1.2283521568011158, 500, 'kappa4sample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1), 'kappa4') ... ok
test_continuous_basic.test_cont_basic('kappa4', (0.0, 0.1), 0.01, array([ -1.12721013e+00,  -4.80363422e-01,  -6.27495159e-01, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, 0.5, (0.0, 0.1), (0, 1), [<bound method kappa4_gen.pdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logpdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.cdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logcdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logsf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1), [<bound method kappa4_gen.pdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logpdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.cdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logcdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logsf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0), array(0.6263831609844223), array(1.5497677311412845), 0.6748412951226882, 1.4532869495535028, 500, 'kappa4sample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0), 'kappa4') ... ok
test_continuous_basic.test_cont_basic('kappa4', (0.1, 0.0), 0.01, array([ -9.26119273e-01,  -3.90312972e-01,  -5.18108989e-01, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, 0.5, (0.1, 0.0), (0, 1), [<bound method kappa4_gen.pdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logpdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.cdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logcdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logsf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0), [<bound method kappa4_gen.pdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logpdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.cdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logcdf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>, <bound method kappa4_gen.logsf of <scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0), 'kappa4') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,), array(nan), array(nan), 7.1150952845844193, 2325.778875348396, 500, 'kappa3sample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,), 'kappa3') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,), 'kappa3') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,), 'kappa3') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,), 'kappa3') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,), 'kappa3') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,), 'kappa3') ... ok
test_continuous_basic.test_cont_basic('kappa3', (1.0,), 0.01, array([  5.76265988e-02,   2.53386956e-01,   1.89286706e-01, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, 0.5, (1.0,), (0, 1), [<bound method kappa3_gen.pdf of <scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>>, <bound method kappa3_gen.logpdf of <scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>>, <bound method kappa3_gen.cdf of <scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>>, <bound method kappa3_gen.logcdf of <scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>>, <bound method kappa3_gen.logsf of <scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,), 'kappa3') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,), [<bound method kappa3_gen.pdf of <scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>>, <bound method kappa3_gen.logpdf of <scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>>, <bound method kappa3_gen.cdf of <scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>>, <bound method kappa3_gen.logcdf of <scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>>, <bound method kappa3_gen.logsf of <scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,), 'kappa3') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, (), array(0.0), array(2.0), 0.081555808868726279, 1.6634734528663007, 500, 'laplacesample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, (), 'laplace') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, (), 'laplace') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, (), 'laplace') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, (), 'laplace') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, (), 'laplace') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, (), 'laplace') ... ok
test_continuous_basic.test_cont_basic('laplace', (), 0.01, array([ -2.21665119e+00,  -9.05539759e-01,  -1.14469899e+00, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, 0.5, (), (0, 1), [<bound method laplace_gen.pdf of <scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>>, <bound method laplace_gen.logpdf of <scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>>, <bound method laplace_gen.cdf of <scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>>, <bound method laplace_gen.logcdf of <scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>>, <bound method laplace_gen.logsf of <scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, (), 'laplace') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, (), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, (), [<bound method laplace_gen.pdf of <scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>>, <bound method laplace_gen.logpdf of <scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>>, <bound method laplace_gen.cdf of <scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>>, <bound method laplace_gen.logcdf of <scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>>, <bound method laplace_gen.logsf of <scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, (), 'laplace') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, (), array(inf), array(inf), 1522.2005254078929, 485955516.06045806, 500, 'levysample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, (), 'levy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, (), 'levy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, (), 'levy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, (), 'levy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, (), 'levy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, (), 'levy') ... ok
test_continuous_basic.test_cont_basic('levy', (), 0.01, array([  2.70436559e-01,   6.14746137e-01,   5.04492446e-01, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, 0.5, (), (0, 1), [<bound method levy_gen.pdf of <scipy.stats._continuous_distns.levy_gen object at 0x23a1890>>, <bound method levy_gen.logpdf of <scipy.stats._continuous_distns.levy_gen object at 0x23a1890>>, <bound method levy_gen.cdf of <scipy.stats._continuous_distns.levy_gen object at 0x23a1890>>, <bound method levy_gen.logcdf of <scipy.stats._continuous_distns.levy_gen object at 0x23a1890>>, <bound method levy_gen.logsf of <scipy.stats._continuous_distns.levy_gen object at 0x23a1890>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, (), 'levy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, (), [<bound method levy_gen.pdf of <scipy.stats._continuous_distns.levy_gen object at 0x23a1890>>, <bound method levy_gen.logpdf of <scipy.stats._continuous_distns.levy_gen object at 0x23a1890>>, <bound method levy_gen.cdf of <scipy.stats._continuous_distns.levy_gen object at 0x23a1890>>, <bound method levy_gen.logcdf of <scipy.stats._continuous_distns.levy_gen object at 0x23a1890>>, <bound method levy_gen.logsf of <scipy.stats._continuous_distns.levy_gen object at 0x23a1890>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, (), 'levy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, (), array(inf), array(inf), -94.225857577823916, 1311894.9063678395, 500, 'levy_lsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, (), 'levy_l') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, (), 'levy_l') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, (), 'levy_l') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, (), 'levy_l') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, (), 'levy_l') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, (), 'levy_l') ... ok
test_continuous_basic.test_cont_basic('levy_l', (), 0.01, array([ -2.14103094e+02,  -1.52414151e+01,  -2.47965116e+01, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, -0.5, (), (0, 1), [<bound method levy_l_gen.pdf of <scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>>, <bound method levy_l_gen.logpdf of <scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>>, <bound method levy_l_gen.cdf of <scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>>, <bound method levy_l_gen.logcdf of <scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>>, <bound method levy_l_gen.logsf of <scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, (), 'levy_l') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, (), [<bound method levy_l_gen.pdf of <scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>>, <bound method levy_l_gen.logpdf of <scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>>, <bound method levy_l_gen.cdf of <scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>>, <bound method levy_l_gen.logcdf of <scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>>, <bound method levy_l_gen.logsf of <scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, ()) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, (), 'levy_l') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,), array(-2.4617679388246976), array(6.842650224597859), -2.3149954392978644, 5.9436315776861575, 500, 'loggammasample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,), 'loggamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,), 'loggamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,), 'loggamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,), 'loggamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,), 'loggamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,), 'loggamma') ... ok
test_continuous_basic.test_cont_basic('loggamma', (0.4141193182605212,), 0.01, array([ -7.02647340e+00,  -4.43796290e+00,  -3.35939104e+00, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, 0.5, (0.4141193182605212,), (0, 1), [<bound method loggamma_gen.pdf of <scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>>, <bound method loggamma_gen.logpdf of <scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>>, <bound method loggamma_gen.cdf of <scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>>, <bound method loggamma_gen.logcdf of <scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>>, <bound method loggamma_gen.logsf of <scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,), 'loggamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,), [<bound method loggamma_gen.pdf of <scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>>, <bound method loggamma_gen.logpdf of <scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>>, <bound method loggamma_gen.cdf of <scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>>, <bound method loggamma_gen.logcdf of <scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>>, <bound method loggamma_gen.logsf of <scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,), 'loggamma') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, (), array(0.0), array(3.289868133696453), 0.10349036101100967, 2.8774655378842318, 500, 'logisticsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, (), 'logistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, (), 'logistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, (), 'logistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, (), 'logistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, (), 'logistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, (), 'logistic') ... ok
test_continuous_basic.test_cont_basic('logistic', (), 0.01, array([ -2.85377103e+00,  -1.37283749e+00,  -1.66449245e+00, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, 0.5, (), (0, 1), [<bound method logistic_gen.pdf of <scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>>, <bound method logistic_gen.logpdf of <scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>>, <bound method logistic_gen.cdf of <scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>>, <bound method logistic_gen.logcdf of <scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>>, <bound method logistic_gen.logsf of <scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, (), 'logistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, (), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, (), [<bound method logistic_gen.pdf of <scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>>, <bound method logistic_gen.logpdf of <scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>>, <bound method logistic_gen.cdf of <scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>>, <bound method logistic_gen.logcdf of <scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>>, <bound method logistic_gen.logsf of <scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, ()) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, (), 'logistic') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,), array(1.1045330480739983), array(0.38917293304477574), 1.1159779194372494, 0.30590858699075063, 500, 'loglaplacesample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,), 'loglaplace') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,), 'loglaplace') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,), 'loglaplace') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,), 'loglaplace') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,), 'loglaplace') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,), 'loglaplace') ... ok
test_continuous_basic.test_cont_basic('loglaplace', (3.2505926592051435,), 0.01, array([ 0.50564412,  0.75686013,  0.70317403,  1.8978091 ,  0.80674887, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, 0.5, (3.2505926592051435,), (0, 1), [<bound method loglaplace_gen.pdf of <scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>>, <bound method loglaplace_gen.logpdf of <scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>>, <bound method loglaplace_gen.cdf of <scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>>, <bound method loglaplace_gen.logcdf of <scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>>, <bound method loglaplace_gen.logsf of <scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,), 'loglaplace') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,), [<bound method loglaplace_gen.pdf of <scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>>, <bound method loglaplace_gen.logpdf of <scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>>, <bound method loglaplace_gen.cdf of <scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>>, <bound method loglaplace_gen.logcdf of <scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>>, <bound method loglaplace_gen.logsf of <scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,), 'loglaplace') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,), array(1.5757871665018548), array(3.682706210913771), 1.6056555414792422, 2.7977370822350096, 500, 'lognormsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,), 'lognorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,), 'lognorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,), 'lognorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,), 'lognorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,), 'lognorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,), 'lognorm') ... ok
test_continuous_basic.test_cont_basic('lognorm', (0.9536822696057533,), 0.01, array([  1.96948123,   0.28445682,   1.74252088,   2.73394316, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, 0.5, (0.9536822696057533,), (0, 1), [<bound method lognorm_gen.pdf of <scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>>, <bound method lognorm_gen.logpdf of <scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>>, <bound method lognorm_gen.cdf of <scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>>, <bound method lognorm_gen.logcdf of <scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>>, <bound method lognorm_gen.logsf of <scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,), 'lognorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,), [<bound method lognorm_gen.pdf of <scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>>, <bound method lognorm_gen.logpdf of <scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>>, <bound method lognorm_gen.cdf of <scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>>, <bound method lognorm_gen.logcdf of <scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>>, <bound method lognorm_gen.logsf of <scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,), 'lognorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,), array(1.1400690695795155), array(inf), 1.105333255116538, 6.2566550878316241, 500, 'lomaxsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,), 'lomax') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,), 'lomax') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,), 'lomax') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,), 'lomax') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,), 'lomax') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,), 'lomax') ... ok
test_continuous_basic.test_cont_basic('lomax', (1.8771398388773268,), 0.01, array([  3.02970770e-02,   1.27852894e-01,   9.67485330e-02, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, 0.5, (1.8771398388773268,), (0, 1), [<bound method lomax_gen.pdf of <scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>>, <bound method lomax_gen.logpdf of <scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>>, <bound method lomax_gen.cdf of <scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>>, <bound method lomax_gen.logcdf of <scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>>, <bound method lomax_gen.logsf of <scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,), 'lomax') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,), [<bound method lomax_gen.pdf of <scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>>, <bound method lomax_gen.logpdf of <scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>>, <bound method lomax_gen.cdf of <scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>>, <bound method lomax_gen.logcdf of <scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>>, <bound method lomax_gen.logsf of <scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,), 'lomax') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, (), array(1.5957691216057308), array(0.45352091052967447), 1.5730574489749889, 0.40085884223991197, 500, 'maxwellsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, (), 'maxwell') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, (), 'maxwell') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, (), 'maxwell') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, (), 'maxwell') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, (), 'maxwell') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, (), 'maxwell') ... ok
test_continuous_basic.test_cont_basic('maxwell', (), 0.01, array([ 2.05667902,  0.69786855,  1.20845241,  1.88397631,  2.46136218, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, 0.5, (), (0, 1), [<bound method maxwell_gen.pdf of <scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>>, <bound method maxwell_gen.logpdf of <scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>>, <bound method maxwell_gen.cdf of <scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>>, <bound method maxwell_gen.logcdf of <scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>>, <bound method maxwell_gen.logsf of <scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, (), 'maxwell') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, (), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, (), [<bound method maxwell_gen.pdf of <scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>>, <bound method maxwell_gen.logpdf of <scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>>, <bound method maxwell_gen.cdf of <scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>>, <bound method maxwell_gen.logcdf of <scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>>, <bound method maxwell_gen.logsf of <scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, ()) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, (), 'maxwell') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,), array(0.9751907537016976), array(0.049002993894714963), 0.9867563078157402, 0.045501916873606205, 500, 'nakagamisample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,), 'nakagami') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,), 'nakagami') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,), 'nakagami') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,), 'nakagami') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,), 'nakagami') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,), 'nakagami') ... ok
test_continuous_basic.test_cont_basic('nakagami', (4.967379486666624,), 0.01, array([ 0.63444078,  0.7868839 ,  0.75325008,  1.32724998,  0.81932048, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, 0.5, (4.967379486666624,), (0, 1), [<bound method nakagami_gen.pdf of <scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>>, <bound method nakagami_gen.logpdf of <scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>>, <bound method nakagami_gen.cdf of <scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>>, <bound method nakagami_gen.logcdf of <scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>>, <bound method nakagami_gen.logsf of <scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,), 'nakagami') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,), [<bound method nakagami_gen.pdf of <scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>>, <bound method nakagami_gen.logpdf of <scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>>, <bound method nakagami_gen.cdf of <scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>>, <bound method nakagami_gen.logcdf of <scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>>, <bound method nakagami_gen.logsf of <scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,), 'nakagami') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107), array(1.0966313767196905), array(0.1983532534130308), 1.0740685247899555, 0.19118274095379131, 500, 'ncfsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107), 'ncf') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107), 'ncf') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107), 'ncf') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107), 'ncf') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107), 'ncf') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107), 'ncf') ... ok
test_continuous_basic.test_cont_basic('ncf', (27, 27, 0.41578441799226107), 0.01, array([ 0.90888841,  0.87523216,  0.73228753,  1.33584017,  0.93548576, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, 0.5, (27, 27, 0.41578441799226107), (0, 1), [<bound method ncf_gen.pdf of <scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>>, <bound method ncf_gen.logpdf of <scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>>, <bound method ncf_gen.cdf of <scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>>, <bound method ncf_gen.logcdf of <scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>>, <bound method ncf_gen.logsf of <scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107), 'ncf') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107), [<bound method ncf_gen.pdf of <scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>>, <bound method ncf_gen.logpdf of <scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>>, <bound method ncf_gen.cdf of <scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>>, <bound method ncf_gen.logcdf of <scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>>, <bound method ncf_gen.logsf of <scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107), 'ncf') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066), array(0.2543673273832777), array(1.1694163414603564), 0.29200805409199576, 1.2103533692156594, 500, 'nctsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066), 'nct') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066), 'nct') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066), 'nct') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066), 'nct') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066), 'nct') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066), 'nct') ... ok
test_continuous_basic.test_cont_basic('nct', (14, 0.24045031331198066), 0.01, array([  8.73534081e-01,  -1.04204572e+00,   8.32185889e-01, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, 0.5, (14, 0.24045031331198066), (0, 1), [<bound method nct_gen.pdf of <scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>>, <bound method nct_gen.logpdf of <scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>>, <bound method nct_gen.cdf of <scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>>, <bound method nct_gen.logcdf of <scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>>, <bound method nct_gen.logsf of <scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066), 'nct') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066), [<bound method nct_gen.pdf of <scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>>, <bound method nct_gen.logpdf of <scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>>, <bound method nct_gen.cdf of <scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>>, <bound method nct_gen.logcdf of <scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>>, <bound method nct_gen.logsf of <scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066), 'nct') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415), array(22.056046597511642), array(46.22418639004657), 21.965924328314699, 47.626355015322339, 500, 'ncx2sample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415), 'ncx2') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415), 'ncx2') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415), 'ncx2') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415), 'ncx2') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415), 'ncx2') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415), 'ncx2') ... ok
test_continuous_basic.test_cont_basic('ncx2', (21, 1.0560465975116415), 0.01, array([ 24.18228087,  28.6893038 ,  24.17456852,  14.84747842, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, 0.5, (21, 1.0560465975116415), (0, 1), [<bound method ncx2_gen.pdf of <scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>>, <bound method ncx2_gen.logpdf of <scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>>, <bound method ncx2_gen.cdf of <scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>>, <bound method ncx2_gen.logcdf of <scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>>, <bound method ncx2_gen.logsf of <scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415), 'ncx2') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415), [<bound method ncx2_gen.pdf of <scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>>, <bound method ncx2_gen.logpdf of <scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>>, <bound method ncx2_gen.cdf of <scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>>, <bound method ncx2_gen.logcdf of <scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>>, <bound method ncx2_gen.logsf of <scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415), 'ncx2') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, (), array(0.0), array(1.0), 0.035445900332699877, 1.0338474210363133, 500, 'normsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, (), 'norm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, (), 'norm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, (), 'norm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, (), 'norm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, (), 'norm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, (), 'norm') ... ok
test_continuous_basic.test_cont_basic('norm', (), 0.01, array([ 0.71068761, -1.31823129,  0.58230384,  1.05459122, -0.46861163, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, 0.5, (), (0, 1), [<bound method norm_gen.pdf of <scipy.stats._continuous_distns.norm_gen object at 0x22fb050>>, <bound method norm_gen.logpdf of <scipy.stats._continuous_distns.norm_gen object at 0x22fb050>>, <bound method norm_gen.cdf of <scipy.stats._continuous_distns.norm_gen object at 0x22fb050>>, <bound method norm_gen.logcdf of <scipy.stats._continuous_distns.norm_gen object at 0x22fb050>>, <bound method norm_gen.logsf of <scipy.stats._continuous_distns.norm_gen object at 0x22fb050>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, (), 'norm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, (), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, (), [<bound method norm_gen.pdf of <scipy.stats._continuous_distns.norm_gen object at 0x22fb050>>, <bound method norm_gen.logpdf of <scipy.stats._continuous_distns.norm_gen object at 0x22fb050>>, <bound method norm_gen.cdf of <scipy.stats._continuous_distns.norm_gen object at 0x22fb050>>, <bound method norm_gen.logcdf of <scipy.stats._continuous_distns.norm_gen object at 0x22fb050>>, <bound method norm_gen.logsf of <scipy.stats._continuous_distns.norm_gen object at 0x22fb050>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, (), 'norm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,), array(1.616630576416252), array(1.6034057205287133), 1.6175136021410468, 0.99652438237091523, 500, 'paretosample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,), 'pareto') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,), 'pareto') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,), 'pareto') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,), 'pareto') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,), 'pareto') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,), 'pareto') ... ok
test_continuous_basic.test_cont_basic('pareto', (2.621716532144454,), 0.01, array([  1.02160046,   1.08996506,   1.06835729,   2.88283114, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, 1.5, (2.621716532144454,), (0, 1), [<bound method pareto_gen.pdf of <scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>>, <bound method pareto_gen.logpdf of <scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>>, <bound method pareto_gen.cdf of <scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>>, <bound method pareto_gen.logcdf of <scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>>, <bound method pareto_gen.logsf of <scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,), 'pareto') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,), [<bound method pareto_gen.pdf of <scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>>, <bound method pareto_gen.logpdf of <scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>>, <bound method pareto_gen.cdf of <scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>>, <bound method pareto_gen.logcdf of <scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>>, <bound method pareto_gen.logsf of <scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,), 'pareto') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,), array(0.0), array(1.0), -0.045157918926598643, 0.90343127909740106, 500, 'pearson3sample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,), 'pearson3') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,), 'pearson3') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,), 'pearson3') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,), 'pearson3') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,), 'pearson3') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,), 'pearson3') ... ok
test_continuous_basic.test_cont_basic('pearson3', (0.1,), 0.01, array([  7.02175958e-01,  -1.30559854e+00,  -4.81432585e-01, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, 0.5, (0.1,), (0, 1), [<bound method pearson3_gen.pdf of <scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>>, <bound method pearson3_gen.logpdf of <scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>>, <bound method pearson3_gen.cdf of <scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>>, <bound method pearson3_gen.logcdf of <scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>>, <bound method pearson3_gen.logsf of <scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,), 'pearson3') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,), [<bound method pearson3_gen.pdf of <scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>>, <bound method pearson3_gen.logpdf of <scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>>, <bound method pearson3_gen.cdf of <scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>>, <bound method pearson3_gen.logcdf of <scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>>, <bound method pearson3_gen.logsf of <scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,), 'pearson3') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,), array(0.6239347946935357), array(0.06412487003483977), 0.63825155628294084, 0.060978170226970337, 500, 'powerlawsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,), 'powerlaw') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,), 'powerlaw') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,), 'powerlaw') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,), 'powerlaw') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,), 'powerlaw') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,), 'powerlaw') ... ok
test_continuous_basic.test_cont_basic('powerlaw', (1.659113328990585,), 0.01, array([ 0.17311012,  0.38152492,  0.33030859,  0.96197146,  0.43235279, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, 0.5, (1.659113328990585,), (0, 1), [<bound method powerlaw_gen.pdf of <scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>>, <bound method powerlaw_gen.logpdf of <scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>>, <bound method powerlaw_gen.cdf of <scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>>, <bound method powerlaw_gen.logcdf of <scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>>, <bound method powerlaw_gen.logsf of <scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,), 'powerlaw') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,), [<bound method powerlaw_gen.pdf of <scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>>, <bound method powerlaw_gen.logpdf of <scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>>, <bound method powerlaw_gen.cdf of <scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>>, <bound method powerlaw_gen.logcdf of <scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>>, <bound method powerlaw_gen.logsf of <scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,), 'powerlaw') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,), array(-1.093437855173515), array(0.4699972285119369), -1.052581913126706, 0.42074144479195147, 500, 'powernormsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,), 'powernorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,), 'powernorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,), 'powernorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,), 'powernorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,), 'powernorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,), 'powernorm') ... ok
test_continuous_basic.test_cont_basic('powernorm', (4.445365225459078,), 0.01, array([-2.24064782, -1.64936365, -1.7714141 , -0.0892759 , -1.53556507, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, 0.5, (4.445365225459078,), (0, 1), [<bound method powernorm_gen.pdf of <scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>>, <bound method powernorm_gen.logpdf of <scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>>, <bound method powernorm_gen.cdf of <scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>>, <bound method powernorm_gen.logcdf of <scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>>, <bound method powernorm_gen.logsf of <scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,), 'powernorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,), [<bound method powernorm_gen.pdf of <scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>>, <bound method powernorm_gen.logpdf of <scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>>, <bound method powernorm_gen.cdf of <scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>>, <bound method powernorm_gen.logcdf of <scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>>, <bound method powernorm_gen.logsf of <scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,), 'powernorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, (), array(1.2533141373155001), array(0.42920367320510344), 1.2828507672382088, 0.40989692335624112, 500, 'rayleighsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, (), 'rayleigh') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, (), 'rayleigh') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, (), 'rayleigh') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, (), 'rayleigh') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, (), 'rayleigh') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, (), 'rayleigh') ... ok
test_continuous_basic.test_cont_basic('rayleigh', (), 0.01, array([ 0.33474569,  0.67208549,  0.58881868,  2.35618432,  0.75638076, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, 0.5, (), (0, 1), [<bound method rayleigh_gen.pdf of <scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>>, <bound method rayleigh_gen.logpdf of <scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>>, <bound method rayleigh_gen.cdf of <scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>>, <bound method rayleigh_gen.logcdf of <scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>>, <bound method rayleigh_gen.logsf of <scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, (), 'rayleigh') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, (), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, (), [<bound method rayleigh_gen.pdf of <scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>>, <bound method rayleigh_gen.logpdf of <scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>>, <bound method rayleigh_gen.cdf of <scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>>, <bound method rayleigh_gen.logcdf of <scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>>, <bound method rayleigh_gen.logsf of <scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, (), 'rayleigh') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522), array(0.19667848552072986), array(0.06088230728737548), 0.20609257124548061, 0.060526214433582984, 500, 'reciprocalsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522), 'reciprocal') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522), 'reciprocal') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522), 'reciprocal') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522), 'reciprocal') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522), 'reciprocal') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522), 'reciprocal') ... ok
test_continuous_basic.test_cont_basic('reciprocal', (0.0062309367010521255, 1.0062309367010522), 0.01, array([ 0.00821993,  0.01741629,  0.01399591,  0.73304634,  0.02207467, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, 0.5, (0.0062309367010521255, 1.0062309367010522), (0, 1), [<bound method reciprocal_gen.pdf of <scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>>, <bound method reciprocal_gen.logpdf of <scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>>, <bound method reciprocal_gen.cdf of <scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>>, <bound method reciprocal_gen.logcdf of <scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>>, <bound method reciprocal_gen.logsf of <scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522), 'reciprocal') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522), [<bound method reciprocal_gen.pdf of <scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>>, <bound method reciprocal_gen.logpdf of <scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>>, <bound method reciprocal_gen.cdf of <scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>>, <bound method reciprocal_gen.logcdf of <scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>>, <bound method reciprocal_gen.logsf of <scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522), 'reciprocal') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,), array(1.434767764680493), array(0.5420238697561759), 1.4086003444720181, 0.50033274955726559, 500, 'ricesample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,), 'rice') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,), 'rice') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,), 'rice') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,), 'rice') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,), 'rice') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,), 'rice') ... ok
test_continuous_basic.test_cont_basic('rice', (0.7749725210111873,), 0.01, array([ 1.6945968 ,  1.15002018,  1.21320296,  2.09357041,  0.62049256, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, 0.5, (0.7749725210111873,), (0, 1), [<bound method rice_gen.pdf of <scipy.stats._continuous_distns.rice_gen object at 0x2439950>>, <bound method rice_gen.logpdf of <scipy.stats._continuous_distns.rice_gen object at 0x2439950>>, <bound method rice_gen.cdf of <scipy.stats._continuous_distns.rice_gen object at 0x2439950>>, <bound method rice_gen.logcdf of <scipy.stats._continuous_distns.rice_gen object at 0x2439950>>, <bound method rice_gen.logsf of <scipy.stats._continuous_distns.rice_gen object at 0x2439950>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,), 'rice') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,), [<bound method rice_gen.pdf of <scipy.stats._continuous_distns.rice_gen object at 0x2439950>>, <bound method rice_gen.logpdf of <scipy.stats._continuous_distns.rice_gen object at 0x2439950>>, <bound method rice_gen.cdf of <scipy.stats._continuous_distns.rice_gen object at 0x2439950>>, <bound method rice_gen.logcdf of <scipy.stats._continuous_distns.rice_gen object at 0x2439950>>, <bound method rice_gen.logsf of <scipy.stats._continuous_distns.rice_gen object at 0x2439950>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,), 'rice') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,), array(0.7740617226446519), array(0.40082844953639396), 0.79514197060620029, 0.40434496457158242, 500, 'skewnormsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,), 'skewnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,), 'skewnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,), 'skewnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,), 'skewnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,), 'skewnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,), 'skewnorm') ... ok
test_continuous_basic.test_cont_basic('skewnorm', (4.0,), 0.01, array([ 0.83175061,  1.20465968,  0.3251023 ,  1.21692559,  0.43827167, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, 0.5, (4.0,), (0, 1), [<bound method skew_norm_gen.pdf of <scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>>, <bound method skew_norm_gen.logpdf of <scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>>, <bound method skew_norm_gen.cdf of <scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>>, <bound method skew_norm_gen.logcdf of <scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>>, <bound method skew_norm_gen.logsf of <scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,), 'skewnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,), [<bound method skew_norm_gen.pdf of <scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>>, <bound method skew_norm_gen.logpdf of <scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>>, <bound method skew_norm_gen.cdf of <scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>>, <bound method skew_norm_gen.logcdf of <scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>>, <bound method skew_norm_gen.logsf of <scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,), 'skewnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,), array(0.0), array(3.6905172081719186), -0.096308839423194001, 4.18226200197899, 500, 'tsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,), 't') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,), 't') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,), 't') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,), 't') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,), 't') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,), 't') ... ok
test_continuous_basic.test_cont_basic('t', (2.7433514990818093,), 0.01, array([  1.90422835e+00,   9.09932987e-01,   1.08550438e+00, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, 0.5, (2.7433514990818093,), (0, 1), [<bound method t_gen.pdf of <scipy.stats._continuous_distns.t_gen object at 0x23b0d50>>, <bound method t_gen.logpdf of <scipy.stats._continuous_distns.t_gen object at 0x23b0d50>>, <bound method t_gen.cdf of <scipy.stats._continuous_distns.t_gen object at 0x23b0d50>>, <bound method t_gen.logcdf of <scipy.stats._continuous_distns.t_gen object at 0x23b0d50>>, <bound method t_gen.logsf of <scipy.stats._continuous_distns.t_gen object at 0x23b0d50>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,), 't') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,), [<bound method t_gen.pdf of <scipy.stats._continuous_distns.t_gen object at 0x23b0d50>>, <bound method t_gen.logpdf of <scipy.stats._continuous_distns.t_gen object at 0x23b0d50>>, <bound method t_gen.cdf of <scipy.stats._continuous_distns.t_gen object at 0x23b0d50>>, <bound method t_gen.logcdf of <scipy.stats._continuous_distns.t_gen object at 0x23b0d50>>, <bound method t_gen.logsf of <scipy.stats._continuous_distns.t_gen object at 0x23b0d50>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,), 't') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8), array(0.5), array(0.05666666666666659), 0.51251161936303835, 0.055172469950645439, 500, 'trapzsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8), 'trapz') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8), 'trapz') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8), 'trapz') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8), 'trapz') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8), 'trapz') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8), 'trapz') ... ok
test_continuous_basic.test_cont_basic('trapz', (0.2, 0.8), 0.01, array([ 0.1320445 ,  0.26172944,  0.22732789,  0.85880569,  0.29902352, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, 0.5, (0.2, 0.8), (0, 1), [<bound method trapz_gen.pdf of <scipy.stats._continuous_distns.trapz_gen object at 0x243e350>>, <bound method trapz_gen.logpdf of <scipy.stats._continuous_distns.trapz_gen object at 0x243e350>>, <bound method trapz_gen.cdf of <scipy.stats._continuous_distns.trapz_gen object at 0x243e350>>, <bound method trapz_gen.logcdf of <scipy.stats._continuous_distns.trapz_gen object at 0x243e350>>, <bound method trapz_gen.logsf of <scipy.stats._continuous_distns.trapz_gen object at 0x243e350>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8), 'trapz') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8), [<bound method trapz_gen.pdf of <scipy.stats._continuous_distns.trapz_gen object at 0x243e350>>, <bound method trapz_gen.logpdf of <scipy.stats._continuous_distns.trapz_gen object at 0x243e350>>, <bound method trapz_gen.cdf of <scipy.stats._continuous_distns.trapz_gen object at 0x243e350>>, <bound method trapz_gen.logcdf of <scipy.stats._continuous_distns.trapz_gen object at 0x243e350>>, <bound method trapz_gen.logsf of <scipy.stats._continuous_distns.trapz_gen object at 0x243e350>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8), 'trapz') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,), array(0.385950099415094), array(0.048170356578380126), 0.39670521794704372, 0.04725737878914231, 500, 'triangsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,), 'triang') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,), 'triang') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,), 'triang') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,), 'triang') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,), 'triang') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,), 'triang') ... ok
test_continuous_basic.test_cont_basic('triang', (0.15785029824528218,), 0.01, array([ 0.0927402 ,  0.18030542,  0.15850533,  0.77094655,  0.20461317, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, 0.5, (0.15785029824528218,), (0, 1), [<bound method triang_gen.pdf of <scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>>, <bound method triang_gen.logpdf of <scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>>, <bound method triang_gen.cdf of <scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>>, <bound method triang_gen.logcdf of <scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>>, <bound method triang_gen.logsf of <scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,), 'triang') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,), [<bound method triang_gen.pdf of <scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>>, <bound method triang_gen.logpdf of <scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>>, <bound method triang_gen.cdf of <scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>>, <bound method triang_gen.logcdf of <scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>>, <bound method triang_gen.logsf of <scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,), 'triang') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,), array(0.9565416934684103), array(0.7942583444332338), 0.98643731816069091, 0.76187624238021001, 500, 'truncexponsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,), 'truncexpon') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,), 'truncexpon') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,), 'truncexpon') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,), 'truncexpon') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,), 'truncexpon') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,), 'truncexpon') ... ok
test_continuous_basic.test_cont_basic('truncexpon', (4.690772545681048,), 0.01, array([ 0.05549849,  0.22352616,  0.17161765,  2.64638353,  0.28302056, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, 0.5, (4.690772545681048,), (0, 1), [<bound method truncexpon_gen.pdf of <scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>>, <bound method truncexpon_gen.logpdf of <scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>>, <bound method truncexpon_gen.cdf of <scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>>, <bound method truncexpon_gen.logcdf of <scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>>, <bound method truncexpon_gen.logsf of <scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,), 'truncexpon') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,), [<bound method truncexpon_gen.pdf of <scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>>, <bound method truncexpon_gen.logpdf of <scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>>, <bound method truncexpon_gen.cdf of <scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>>, <bound method truncexpon_gen.logcdf of <scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>>, <bound method truncexpon_gen.logsf of <scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,), 'truncexpon') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198), array(0.2425601397703228), array(0.6322152443797492), 0.27881914654600132, 0.61146479078324245, 500, 'truncnormsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198), 'truncnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198), 'truncnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198), 'truncnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198), 'truncnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198), 'truncnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198), 'truncnorm') ... ok
test_continuous_basic.test_cont_basic('truncnorm', (-1.0978730080013919, 2.730675410903198), 0.01, array([ -9.03888658e-01,  -4.95474499e-01,  -6.03402670e-01, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, 0.5, (-1.0978730080013919, 2.730675410903198), (0, 1), [<bound method truncnorm_gen.pdf of <scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>>, <bound method truncnorm_gen.logpdf of <scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>>, <bound method truncnorm_gen.cdf of <scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>>, <bound method truncnorm_gen.logcdf of <scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>>, <bound method truncnorm_gen.logsf of <scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198), 'truncnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198), [<bound method truncnorm_gen.pdf of <scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>>, <bound method truncnorm_gen.logpdf of <scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>>, <bound method truncnorm_gen.cdf of <scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>>, <bound method truncnorm_gen.logcdf of <scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>>, <bound method truncnorm_gen.logsf of <scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198), 'truncnorm') ... KNOWNFAIL: Test skipped due to known failure
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0), array(0.7840519151638219), array(0.2291509367652892), 0.80645844104152153, 0.22714480219714522, 500, 'truncnormsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0), 'truncnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0), 'truncnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0), 'truncnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0), 'truncnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0), 'truncnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0), 'truncnorm') ... ok
test_continuous_basic.test_cont_basic('truncnorm', (0.1, 2.0), 0.01, array([ 0.16025914,  0.32724276,  0.27788027,  1.64484107,  0.38167675, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, 0.5, (0.1, 2.0), (0, 1), [<bound method truncnorm_gen.pdf of <scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>>, <bound method truncnorm_gen.logpdf of <scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>>, <bound method truncnorm_gen.cdf of <scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>>, <bound method truncnorm_gen.logcdf of <scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>>, <bound method truncnorm_gen.logsf of <scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0), 'truncnorm') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0), [<bound method truncnorm_gen.pdf of <scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>>, <bound method truncnorm_gen.logpdf of <scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>>, <bound method truncnorm_gen.cdf of <scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>>, <bound method truncnorm_gen.logcdf of <scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>>, <bound method truncnorm_gen.logsf of <scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0), 'truncnorm') ... KNOWNFAIL: Test skipped due to known failure
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,), array(0.0), array(0.02687245442325796), 0.0087410571447445774, 0.026136119132199796, 500, 'tukeylambdasample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,), 'tukeylambda') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,), 'tukeylambda') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,), 'tukeylambda') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,), 'tukeylambda') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,), 'tukeylambda') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,), 'tukeylambda') ... ok
test_continuous_basic.test_cont_basic('tukeylambda', (3.1321477856738267,), 0.01, array([-0.26784787, -0.1552412 , -0.18449254,  0.26095736, -0.1262393 , ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, 0.3, (3.1321477856738267,), (0, 1), [<bound method tukeylambda_gen.pdf of <scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>>, <bound method tukeylambda_gen.logpdf of <scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>>, <bound method tukeylambda_gen.cdf of <scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>>, <bound method tukeylambda_gen.logcdf of <scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>>, <bound method tukeylambda_gen.logsf of <scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,), 'tukeylambda') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,), [<bound method tukeylambda_gen.pdf of <scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>>, <bound method tukeylambda_gen.logpdf of <scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>>, <bound method tukeylambda_gen.cdf of <scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>>, <bound method tukeylambda_gen.logcdf of <scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>>, <bound method tukeylambda_gen.logsf of <scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,), 'tukeylambda') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, (), array(0.5), array(0.08333333333333333), 0.51493567031750898, 0.082478752183312146, 500, 'uniformsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, (), 'uniform') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, (), 'uniform') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, (), 'uniform') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, (), 'uniform') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, (), 'uniform') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, (), 'uniform') ... ok
test_continuous_basic.test_cont_basic('uniform', (), 0.01, array([ 0.05448671,  0.20216179,  0.15915986,  0.93770052,  0.2487794 , ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, 0.5, (), (0, 1), [<bound method uniform_gen.pdf of <scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>>, <bound method uniform_gen.logpdf of <scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>>, <bound method uniform_gen.cdf of <scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>>, <bound method uniform_gen.logcdf of <scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>>, <bound method uniform_gen.logsf of <scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, (), 'uniform') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, (), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, (), [<bound method uniform_gen.pdf of <scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>>, <bound method uniform_gen.logpdf of <scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>>, <bound method uniform_gen.cdf of <scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>>, <bound method uniform_gen.logcdf of <scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>>, <bound method uniform_gen.logsf of <scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, (), 'uniform') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, (), array(1.0), array(1.0), 1.0411493806671195, 1.1145804454531143, 500, 'waldsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, (), 'wald') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, (), 'wald') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, (), 'wald') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, (), 'wald') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, (), 'wald') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, (), 'wald') ... ok
test_continuous_basic.test_cont_basic('wald', (), 0.01, array([ 2.00676157,  0.29004979,  0.62849545,  1.6186909 ,  0.3169379 , ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, 0.5, (), (0, 1), [<bound method wald_gen.pdf of <scipy.stats._continuous_distns.wald_gen object at 0x24456d0>>, <bound method wald_gen.logpdf of <scipy.stats._continuous_distns.wald_gen object at 0x24456d0>>, <bound method wald_gen.cdf of <scipy.stats._continuous_distns.wald_gen object at 0x24456d0>>, <bound method wald_gen.logcdf of <scipy.stats._continuous_distns.wald_gen object at 0x24456d0>>, <bound method wald_gen.logsf of <scipy.stats._continuous_distns.wald_gen object at 0x24456d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, (), 'wald') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, (), [<bound method wald_gen.pdf of <scipy.stats._continuous_distns.wald_gen object at 0x24456d0>>, <bound method wald_gen.logpdf of <scipy.stats._continuous_distns.wald_gen object at 0x24456d0>>, <bound method wald_gen.cdf of <scipy.stats._continuous_distns.wald_gen object at 0x24456d0>>, <bound method wald_gen.logcdf of <scipy.stats._continuous_distns.wald_gen object at 0x24456d0>>, <bound method wald_gen.logsf of <scipy.stats._continuous_distns.wald_gen object at 0x24456d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, ()) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, (), 'wald') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,), array(-0.8912967688766094), array(0.11369305518071726), -0.87141717390154949, 0.10417967598316789, 500, 'weibull_maxsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,), 'weibull_max') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,), 'weibull_max') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,), 'weibull_max') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,), 'weibull_max') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,), 'weibull_max') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,), 'weibull_max') ... ok
test_continuous_basic.test_cont_basic('weibull_max', (2.8687961709100187,), 0.01, array([-1.45108391, -1.17768055, -1.23632437, -0.38426097, -1.12197004, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, -0.5, (2.8687961709100187,), (0, 1), [<bound method frechet_l_gen.pdf of <scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>>, <bound method frechet_l_gen.logpdf of <scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>>, <bound method frechet_l_gen.cdf of <scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>>, <bound method frechet_l_gen.logcdf of <scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>>, <bound method frechet_l_gen.logsf of <scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,), 'weibull_max') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,), [<bound method frechet_l_gen.pdf of <scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>>, <bound method frechet_l_gen.logpdf of <scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>>, <bound method frechet_l_gen.cdf of <scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>>, <bound method frechet_l_gen.logcdf of <scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>>, <bound method frechet_l_gen.logsf of <scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,), 'weibull_max') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,), array(0.8896162979747507), array(0.2651066228900293), 0.91166951756373438, 0.25378768338936536, 500, 'weibull_minsample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,), 'weibull_min') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,), 'weibull_min') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,), 'weibull_min') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,), 'weibull_min') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,), 'weibull_min') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,), 'weibull_min') ... ok
test_continuous_basic.test_cont_basic('weibull_min', (1.7866166930421596,), 0.01, array([ 0.19927739,  0.43483194,  0.37498841,  1.7708108 ,  0.49632514, ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, 0.5, (1.7866166930421596,), (0, 1), [<bound method frechet_r_gen.pdf of <scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>>, <bound method frechet_r_gen.logpdf of <scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>>, <bound method frechet_r_gen.cdf of <scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>>, <bound method frechet_r_gen.logcdf of <scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>>, <bound method frechet_r_gen.logsf of <scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,), 'weibull_min') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,), [<bound method frechet_r_gen.pdf of <scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>>, <bound method frechet_r_gen.logpdf of <scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>>, <bound method frechet_r_gen.cdf of <scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>>, <bound method frechet_r_gen.logcdf of <scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>>, <bound method frechet_r_gen.logsf of <scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,), 'weibull_min') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,), array(3.141592653589793), array(3.4151322438845), 3.2366450690320034, 3.3881817541701822, 500, 'wrapcauchysample mean test') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,), 'wrapcauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,), 'wrapcauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,), 'wrapcauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,), 'wrapcauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,), 'wrapcauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,), 'wrapcauchy') ... ok
test_continuous_basic.test_cont_basic('wrapcauchy', (0.031071279018614728,), 0.01, array([ 0.32208266,  1.21142156,  0.94861337,  5.91479179,  1.5010211 , ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, 0.5, (0.031071279018614728,), (0, 1), [<bound method wrapcauchy_gen.pdf of <scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>>, <bound method wrapcauchy_gen.logpdf of <scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>>, <bound method wrapcauchy_gen.cdf of <scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>>, <bound method wrapcauchy_gen.logcdf of <scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>>, <bound method wrapcauchy_gen.logsf of <scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,), 'wrapcauchy') ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,), [<bound method wrapcauchy_gen.pdf of <scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>>, <bound method wrapcauchy_gen.logpdf of <scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>>, <bound method wrapcauchy_gen.cdf of <scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>>, <bound method wrapcauchy_gen.logcdf of <scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>>, <bound method wrapcauchy_gen.logsf of <scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>>]) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,)) ... ok
test_continuous_basic.test_cont_basic(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,), 'wrapcauchy') ... ok
test_continuous_basic.test_levy_stable_random_state_property ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, (), array(0.0), array(1.2898681336964528), 0.061860250948109256, 1.2184592955483293, 500, 'cosinesample mean test') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, (), 'cosine') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, (), 'cosine') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, (), 'cosine') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, (), 'cosine') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, (), 'cosine') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, (), 'cosine') ... ok
test_continuous_basic.test_cont_basic_slow('cosine', (), 0.01, array([-1.83356909, -1.01951733, -1.20700666,  1.76991153, -0.83629831, ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, 0.5, (), (0, 1), [<bound method cosine_gen.pdf of <scipy.stats._continuous_distns.cosine_gen object at 0x2309050>>, <bound method cosine_gen.logpdf of <scipy.stats._continuous_distns.cosine_gen object at 0x2309050>>, <bound method cosine_gen.cdf of <scipy.stats._continuous_distns.cosine_gen object at 0x2309050>>, <bound method cosine_gen.logcdf of <scipy.stats._continuous_distns.cosine_gen object at 0x2309050>>, <bound method cosine_gen.logsf of <scipy.stats._continuous_distns.cosine_gen object at 0x2309050>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, ()) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, ()) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, (), 'cosine') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, ()) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, (), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, ()) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, (), [<bound method cosine_gen.pdf of <scipy.stats._continuous_distns.cosine_gen object at 0x2309050>>, <bound method cosine_gen.logpdf of <scipy.stats._continuous_distns.cosine_gen object at 0x2309050>>, <bound method cosine_gen.cdf of <scipy.stats._continuous_distns.cosine_gen object at 0x2309050>>, <bound method cosine_gen.logcdf of <scipy.stats._continuous_distns.cosine_gen object at 0x2309050>>, <bound method cosine_gen.logsf of <scipy.stats._continuous_distns.cosine_gen object at 0x2309050>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, ()) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, ()) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), array(0.7906029420813253), array(0.010324457830051759), 0.79708299873137989, 0.0091471490458553337, 500, 'gausshypersample mean test') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), 'gausshyper') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), 'gausshyper') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), 'gausshyper') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), 'gausshyper') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), 'gausshyper') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), 'gausshyper') ... ok
test_continuous_basic.test_cont_basic_slow('gausshyper', (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), 0.01, array([ 0.60885508,  0.70822979,  0.6877367 ,  0.92737588,  0.72721233, ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, 0.5, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), (0, 1), [<bound method gausshyper_gen.pdf of <scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>>, <bound method gausshyper_gen.logpdf of <scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>>, <bound method gausshyper_gen.cdf of <scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>>, <bound method gausshyper_gen.logcdf of <scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>>, <bound method gausshyper_gen.logsf of <scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), 'gausshyper') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), [<bound method gausshyper_gen.pdf of <scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>>, <bound method gausshyper_gen.logpdf of <scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>>, <bound method gausshyper_gen.cdf of <scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>>, <bound method gausshyper_gen.logcdf of <scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>>, <bound method gausshyper_gen.logsf of <scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), array(0.08188155356604161), array(0.004748806170273534), 0.084267400572445125, 0.0045519410070470273, 500, 'genexponsample mean test') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), 'genexpon') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), 'genexpon') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), 'genexpon') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), 'genexpon') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), 'genexpon') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), 'genexpon') ... ok
test_continuous_basic.test_cont_basic_slow('genexpon', (9.13259764654189, 16.23195660059063, 3.2819552690843983), 0.01, array([ 0.00602954,  0.02319937,  0.0180501 ,  0.20489158,  0.02895319, ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, 0.5, (9.13259764654189, 16.23195660059063, 3.2819552690843983), (0, 1), [<bound method genexpon_gen.pdf of <scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>>, <bound method genexpon_gen.logpdf of <scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>>, <bound method genexpon_gen.cdf of <scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>>, <bound method genexpon_gen.logcdf of <scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>>, <bound method genexpon_gen.logsf of <scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), 'genexpon') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), [<bound method genexpon_gen.pdf of <scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>>, <bound method genexpon_gen.logpdf of <scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>>, <bound method genexpon_gen.cdf of <scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>>, <bound method genexpon_gen.logcdf of <scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>>, <bound method genexpon_gen.logsf of <scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (10.58,), array(1.0642459285670487), array(0.019515313751788277), 1.0689108289364386, 0.018008965256400333, 500, 'invweibullsample mean test') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (10.58,), 'invweibull') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (10.58,), 'invweibull') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (10.58,), 'invweibull') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (10.58,), 'invweibull') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (10.58,), 'invweibull') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (10.58,), 'invweibull') ... ok
test_continuous_basic.test_cont_basic_slow('invweibull', (10.58,), 0.01, array([ 0.90397543,  0.95662273,  0.94410009,  1.2960738 ,  0.96927596, ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, 0.5, (1,), (0, 1), [<bound method invweibull_gen.pdf of <scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>>, <bound method invweibull_gen.logpdf of <scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>>, <bound method invweibull_gen.cdf of <scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>>, <bound method invweibull_gen.logcdf of <scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>>, <bound method invweibull_gen.logsf of <scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (1,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (1,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (1,), 'invweibull') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (1,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (1,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (1,), [<bound method invweibull_gen.pdf of <scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>>, <bound method invweibull_gen.logpdf of <scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>>, <bound method invweibull_gen.cdf of <scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>>, <bound method invweibull_gen.logcdf of <scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>>, <bound method invweibull_gen.logsf of <scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (1,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (1,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, (2.554395574161155, 2.2482281679651965), array(-1.5421538673934547), array(0.7629881969825036), -1.480648818678032, 0.61494432418945144, 500, 'johnsonsusample mean test') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, (2.554395574161155, 2.2482281679651965), 'johnsonsu') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, (2.554395574161155, 2.2482281679651965), 'johnsonsu') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, (2.554395574161155, 2.2482281679651965), 'johnsonsu') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, (2.554395574161155, 2.2482281679651965), 'johnsonsu') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, (2.554395574161155, 2.2482281679651965), 'johnsonsu') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, (2.554395574161155, 2.2482281679651965), 'johnsonsu') ... ok
test_continuous_basic.test_cont_basic_slow('johnsonsu', (2.554395574161155, 2.2482281679651965), 0.01, array([-3.09839055, -2.14605148, -2.32461624, -0.46874888, -1.98721198, ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, 0.5, (2.554395574161155, 2.2482281679651965), (0, 1), [<bound method johnsonsu_gen.pdf of <scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>>, <bound method johnsonsu_gen.logpdf of <scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>>, <bound method johnsonsu_gen.cdf of <scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>>, <bound method johnsonsu_gen.logcdf of <scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>>, <bound method johnsonsu_gen.logsf of <scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, (2.554395574161155, 2.2482281679651965)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, (2.554395574161155, 2.2482281679651965)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, (2.554395574161155, 2.2482281679651965), 'johnsonsu') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, (2.554395574161155, 2.2482281679651965)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, (2.554395574161155, 2.2482281679651965), [<bound method johnsonsu_gen.pdf of <scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>>, <bound method johnsonsu_gen.logpdf of <scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>>, <bound method johnsonsu_gen.cdf of <scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>>, <bound method johnsonsu_gen.logcdf of <scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>>, <bound method johnsonsu_gen.logsf of <scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, (2.554395574161155, 2.2482281679651965)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, (2.554395574161155, 2.2482281679651965)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, (1000,), array(0.019651596727324566), array(0.00010726424678741248), 0.02011851948696888, 0.00010244298190713239, 500, 'ksonesample mean test') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, (1000,), 'ksone') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, (1000,), 'ksone') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, (1000,), 'ksone') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, (1000,), 'ksone') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, (1000,), 'ksone') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, (1000,), 'ksone') ... ok
test_continuous_basic.test_cont_basic_slow('ksone', (1000,), 0.01, array([ 0.00512931,  0.01046228,  0.0091458 ,  0.03708666,  0.01179505, ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, 0.5, (3,), (0, 1), [<bound method ksone_gen.pdf of <scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>>, <bound method ksone_gen.logpdf of <scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>>, <bound method ksone_gen.cdf of <scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>>, <bound method ksone_gen.logcdf of <scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>>, <bound method ksone_gen.logsf of <scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, (3,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, (3,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, (3,), 'ksone') ... SKIP: Skipping test: check_entropy: Test skipped due to test condition
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, (3,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, (3,), [<bound method ksone_gen.pdf of <scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>>, <bound method ksone_gen.logpdf of <scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>>, <bound method ksone_gen.cdf of <scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>>, <bound method ksone_gen.logcdf of <scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>>, <bound method ksone_gen.logsf of <scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, (3,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, (3,)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, (), array(0.868733101720468), array(0.06777109615641685), 0.88007796459833654, 0.064322277879336254, 500, 'kstwobignsample mean test') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, (), 'kstwobign') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, (), 'kstwobign') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, (), 'kstwobign') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, (), 'kstwobign') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, (), 'kstwobign') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, (), 'kstwobign') ... ok
test_continuous_basic.test_cont_basic_slow('kstwobign', (), 0.01, array([ 0.52519271,  0.64622276,  0.61711637,  1.31698884,  0.67569536, ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, 0.5, (), (0, 1), [<bound method kstwobign_gen.pdf of <scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>>, <bound method kstwobign_gen.logpdf of <scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>>, <bound method kstwobign_gen.cdf of <scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>>, <bound method kstwobign_gen.logcdf of <scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>>, <bound method kstwobign_gen.logsf of <scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, ()) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, ()) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, (), 'kstwobign') ... SKIP: Skipping test: check_entropy: Test skipped due to test condition
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, ()) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, ()) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, (), [<bound method kstwobign_gen.pdf of <scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>>, <bound method kstwobign_gen.logpdf of <scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>>, <bound method kstwobign_gen.cdf of <scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>>, <bound method kstwobign_gen.logcdf of <scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>>, <bound method kstwobign_gen.logsf of <scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, ()) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, ()) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, (10.4, 3.6), array(1.6383160845171076), array(0.7601429668550521), 1.6550677293476599, 0.63689885482395869, 500, 'mielkesample mean test') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, (10.4, 3.6), 'mielke') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, (10.4, 3.6), 'mielke') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, (10.4, 3.6), 'mielke') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, (10.4, 3.6), 'mielke') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, (10.4, 3.6), 'mielke') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, (10.4, 3.6), 'mielke') ... ok
test_continuous_basic.test_cont_basic_slow('mielke', (10.4, 3.6), 0.01, array([ 0.85766478,  1.08758836,  1.03314351,  2.86841176,  1.14272178, ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, 0.5, (10.4, 3.6), (0, 1), [<bound method mielke_gen.pdf of <scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>>, <bound method mielke_gen.logpdf of <scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>>, <bound method mielke_gen.cdf of <scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>>, <bound method mielke_gen.logcdf of <scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>>, <bound method mielke_gen.logsf of <scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, (10.4, 3.6)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, (10.4, 3.6)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, (10.4, 3.6), 'mielke') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, (10.4, 3.6)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, (10.4, 3.6), [<bound method mielke_gen.pdf of <scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>>, <bound method mielke_gen.logpdf of <scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>>, <bound method mielke_gen.cdf of <scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>>, <bound method mielke_gen.logcdf of <scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>>, <bound method mielke_gen.logsf of <scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, (10.4, 3.6)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, (10.4, 3.6)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, (2.1413923530064087, 0.44639540782048337), array(0.810935038061184), array(0.0873939451413348), 0.82340473191149088, 0.082023934286332173, 500, 'powerlognormsample mean test') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, (2.1413923530064087, 0.44639540782048337), 'powerlognorm') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, (2.1413923530064087, 0.44639540782048337), 'powerlognorm') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, (2.1413923530064087, 0.44639540782048337), 'powerlognorm') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, (2.1413923530064087, 0.44639540782048337), 'powerlognorm') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, (2.1413923530064087, 0.44639540782048337), 'powerlognorm') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, (2.1413923530064087, 0.44639540782048337), 'powerlognorm') ... ok
test_continuous_basic.test_cont_basic_slow('powerlognorm', (2.1413923530064087, 0.44639540782048337), 0.01, array([ 0.41949421,  0.56449056,  0.53046316,  1.30836196,  0.59845094, ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, 0.5, (2.1413923530064087, 0.44639540782048337), (0, 1), [<bound method powerlognorm_gen.pdf of <scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>>, <bound method powerlognorm_gen.logpdf of <scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>>, <bound method powerlognorm_gen.cdf of <scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>>, <bound method powerlognorm_gen.logcdf of <scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>>, <bound method powerlognorm_gen.logsf of <scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, (2.1413923530064087, 0.44639540782048337)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, (2.1413923530064087, 0.44639540782048337)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, (2.1413923530064087, 0.44639540782048337), 'powerlognorm') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, (2.1413923530064087, 0.44639540782048337)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, (2.1413923530064087, 0.44639540782048337), [<bound method powerlognorm_gen.pdf of <scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>>, <bound method powerlognorm_gen.logpdf of <scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>>, <bound method powerlognorm_gen.cdf of <scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>>, <bound method powerlognorm_gen.logcdf of <scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>>, <bound method powerlognorm_gen.logsf of <scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, (2.1413923530064087, 0.44639540782048337)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, (2.1413923530064087, 0.44639540782048337)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, (0.9,), array(0.0), array(0.5263157894736842), 0.035065391597268104, 0.53346618273519475, 500, 'rdistsample mean test') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, (0.9,), 'rdist') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, (0.9,), 'rdist') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, (0.9,), 'rdist') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, (0.9,), 'rdist') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, (0.9,), 'rdist') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, (0.9,), 'rdist') ... ok
test_continuous_basic.test_cont_basic_slow('rdist', (0.9,), 0.01, array([-0.9907904 , -0.83542624, -0.90197997,  0.98760357, -0.74388985, ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, 0.5, (0.9,), (0, 1), [<bound method rdist_gen.pdf of <scipy.stats._continuous_distns.rdist_gen object at 0x2439250>>, <bound method rdist_gen.logpdf of <scipy.stats._continuous_distns.rdist_gen object at 0x2439250>>, <bound method rdist_gen.cdf of <scipy.stats._continuous_distns.rdist_gen object at 0x2439250>>, <bound method rdist_gen.logcdf of <scipy.stats._continuous_distns.rdist_gen object at 0x2439250>>, <bound method rdist_gen.logsf of <scipy.stats._continuous_distns.rdist_gen object at 0x2439250>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, (0.9,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, (0.9,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, (0.9,), 'rdist') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, (0.9,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, (0.9,), [<bound method rdist_gen.pdf of <scipy.stats._continuous_distns.rdist_gen object at 0x2439250>>, <bound method rdist_gen.logpdf of <scipy.stats._continuous_distns.rdist_gen object at 0x2439250>>, <bound method rdist_gen.cdf of <scipy.stats._continuous_distns.rdist_gen object at 0x2439250>>, <bound method rdist_gen.logcdf of <scipy.stats._continuous_distns.rdist_gen object at 0x2439250>>, <bound method rdist_gen.logsf of <scipy.stats._continuous_distns.rdist_gen object at 0x2439250>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, (0.9,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, (0.9,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, (0.6300426780936912,), array(2.587194066017164), array(3.5871940659080437), 2.4321969356574469, 2.9325144282891151, 500, 'recipinvgausssample mean test') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, (0.6300426780936912,), 'recipinvgauss') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, (0.6300426780936912,), 'recipinvgauss') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, (0.6300426780936912,), 'recipinvgauss') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, (0.6300426780936912,), 'recipinvgauss') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, (0.6300426780936912,), 'recipinvgauss') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, (0.6300426780936912,), 'recipinvgauss') ... ok
test_continuous_basic.test_cont_basic_slow('recipinvgauss', (0.6300426780936912,), 0.01, array([  0.90944723,   4.33037421,   2.29749106,   1.0814838 , ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, 0.5, (0.6300426780936912,), (0, 1), [<bound method recipinvgauss_gen.pdf of <scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>>, <bound method recipinvgauss_gen.logpdf of <scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>>, <bound method recipinvgauss_gen.cdf of <scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>>, <bound method recipinvgauss_gen.logcdf of <scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>>, <bound method recipinvgauss_gen.logsf of <scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, (0.6300426780936912,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, (0.6300426780936912,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, (0.6300426780936912,), 'recipinvgauss') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, (0.6300426780936912,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, (0.6300426780936912,), [<bound method recipinvgauss_gen.pdf of <scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>>, <bound method recipinvgauss_gen.logpdf of <scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>>, <bound method recipinvgauss_gen.cdf of <scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>>, <bound method recipinvgauss_gen.logcdf of <scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>>, <bound method recipinvgauss_gen.logsf of <scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, (0.6300426780936912,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, (0.6300426780936912,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, (), array(0.0), array(0.25), 0.026451025558700957, 0.24341087977414913, 500, 'semicircularsample mean test') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, (), 'semicircular') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, (), 'semicircular') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, (), 'semicircular') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, (), 'semicircular') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, (), 'semicircular') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, (), 'semicircular') ... ok
test_continuous_basic.test_cont_basic_slow('semicircular', (), 0.01, array([-0.79364952, -0.48796661, -0.56753042,  0.77388697, -0.40606977, ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, 0.5, (), (0, 1), [<bound method semicircular_gen.pdf of <scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>>, <bound method semicircular_gen.logpdf of <scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>>, <bound method semicircular_gen.cdf of <scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>>, <bound method semicircular_gen.logcdf of <scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>>, <bound method semicircular_gen.logsf of <scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, ()) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, ()) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, (), 'semicircular') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, ()) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, (), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, ()) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, (), [<bound method semicircular_gen.pdf of <scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>>, <bound method semicircular_gen.logpdf of <scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>>, <bound method semicircular_gen.cdf of <scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>>, <bound method semicircular_gen.logcdf of <scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>>, <bound method semicircular_gen.logsf of <scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, ()) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, ()) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, (3.99390425810714,), array(8.827426624405104e-17), array(0.29880424181701337), 0.042709897214281034, 0.32120796661250783, 500, 'vonmisessample mean test') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, (3.99390425810714,), 'vonmises') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, (3.99390425810714,), 'vonmises') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, (3.99390425810714,), 'vonmises') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, (3.99390425810714,), 'vonmises') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, (3.99390425810714,), 'vonmises') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, (3.99390425810714,), 'vonmises') ... ok
test_continuous_basic.test_cont_basic_slow('vonmises', (3.99390425810714,), 0.01, array([ -4.28412003e-02,   7.39035181e-01,  -1.42715946e+00, ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, 0.5, (3.99390425810714,), (0, 1), [<bound method vonmises_gen.pdf of <scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>>, <bound method vonmises_gen.logpdf of <scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>>, <bound method vonmises_gen.cdf of <scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>>, <bound method vonmises_gen.logcdf of <scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>>, <bound method vonmises_gen.logsf of <scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, (3.99390425810714,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, (3.99390425810714,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, (3.99390425810714,), 'vonmises') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, (3.99390425810714,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, (3.99390425810714,), [<bound method vonmises_gen.pdf of <scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>>, <bound method vonmises_gen.logpdf of <scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>>, <bound method vonmises_gen.cdf of <scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>>, <bound method vonmises_gen.logcdf of <scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>>, <bound method vonmises_gen.logsf of <scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, (3.99390425810714,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, (3.99390425810714,)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,), array(-1.6273949281155507e-16), array(0.2988042418170117), 0.042709897214281034, 0.32120796661250783, 500, 'vonmises_linesample mean test') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,), 'vonmises_line') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,), 'vonmises_line') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,), 'vonmises_line') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,), 'vonmises_line') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,), 'vonmises_line') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,), 'vonmises_line') ... ok
test_continuous_basic.test_cont_basic_slow('vonmises_line', (3.99390425810714,), 0.01, array([ -4.28412003e-02,   7.39035181e-01,  -1.42715946e+00, ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, 0.5, (3.99390425810714,), (0, 1), [<bound method vonmises_gen.pdf of <scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>>, <bound method vonmises_gen.logpdf of <scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>>, <bound method vonmises_gen.cdf of <scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>>, <bound method vonmises_gen.logcdf of <scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>>, <bound method vonmises_gen.logsf of <scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,), 'vonmises_line') ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,), <class 'scipy.stats._distn_infrastructure.rv_continuous'>) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,), [<bound method vonmises_gen.pdf of <scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>>, <bound method vonmises_gen.logpdf of <scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>>, <bound method vonmises_gen.cdf of <scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>>, <bound method vonmises_gen.logcdf of <scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>>, <bound method vonmises_gen.logsf of <scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>>]) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,)) ... ok
test_continuous_basic.test_cont_basic_slow(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,)) ... SKIP: Skipping test: check_cmplx_deriv: Test skipped due to test condition
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,), 'alpha') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,), array(inf), 'alpha') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,), array(inf), array(inf), 'alpha') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,), array(inf), array(inf), array(nan), 'alpha') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,), array(inf), array(inf), array(nan), 'alpha') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,), array(inf), array(inf), 'alpha') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, (3.570477051665046,), array(inf), array(inf), 'alpha') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, (), 'anglit') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, (), array(0.0), 'anglit') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, (), array(0.0), array(0.11685027506808487), 'anglit') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, (), array(0.0), array(0.11685027506808487), array(0.0), 'anglit') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, (), array(0.0), array(0.11685027506808487), array(-0.8062497699541786), 'anglit') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, (), array(0.0), array(0.11685027506808487), 'anglit') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, (), array(0.0), array(0.11685027506808487), 'anglit') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, (), 'arcsine') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, (), array(0.5), 'arcsine') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, (), array(0.5), array(0.125), 'arcsine') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, (), array(0.5), array(0.125), array(0.0), 'arcsine') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, (), array(0.5), array(0.125), array(-1.5), 'arcsine') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, (), array(0.5), array(0.125), 'arcsine') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, (), array(0.5), array(0.125), 'arcsine') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368), 'beta') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368), array(0.7865381848835467), 'beta') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368), array(0.7865381848835467), array(0.04264856955583702), 'beta') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368), array(0.7865381848835467), array(0.04264856955583702), array(-1.1242190964065033), 'beta') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368), array(0.7865381848835467), array(0.04264856955583702), array(0.5658107743522337), 'beta') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368), array(0.7865381848835467), array(0.04264856955583702), 'beta') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, (2.3098496451481823, 0.6268795430096368), array(0.7865381848835467), array(0.04264856955583702), 'beta') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6), 'betaprime') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6), array(1.0), 'betaprime') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6), array(1.0), array(0.5), 'betaprime') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6), array(1.0), array(0.5), array(2.82842712474619), 'betaprime') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6), array(1.0), array(0.5), array(21.0), 'betaprime') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6), array(1.0), array(0.5), 'betaprime') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, (5, 6), array(1.0), array(0.5), 'betaprime') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,), 'bradford') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,), array(0.47823078529291196), 'bradford') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,), array(0.47823078529291196), array(0.08323849192231123), 'bradford') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,), array(0.47823078529291196), array(0.08323849192231123), array(0.09055428396770418), 'bradford') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,), array(0.47823078529291196), array(0.08323849192231123), array(-1.1910186866092551), 'bradford') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,), array(0.47823078529291196), array(0.08323849192231123), 'bradford') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, (0.29891359763170633,), array(0.47823078529291196), array(0.08323849192231123), 'bradford') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3), 'burr') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3), array(1.2109372989617821), 'burr') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3), array(1.2109372989617821), array(0.029148272765685768), 'burr') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3), array(1.2109372989617821), array(0.029148272765685768), array(1.6240419079491253), 'burr') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3), array(1.2109372989617821), array(0.029148272765685768), array(6.217791415954528), 'burr') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3), array(1.2109372989617821), array(0.029148272765685768), 'burr') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, (10.5, 4.3), array(1.2109372989617821), array(0.029148272765685768), 'burr') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4), 'burr12') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4), array(0.8402535703397125), 'burr12') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4), array(0.8402535703397125), array(0.012314608713045683), 'burr12') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4), array(0.8402535703397125), array(0.012314608713045683), array(-0.3245174358382536), 'burr12') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4), array(0.8402535703397125), array(0.012314608713045683), array(0.3932064860827529), 'burr12') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4), array(0.8402535703397125), array(0.012314608713045683), 'burr12') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, (10, 4), array(0.8402535703397125), array(0.012314608713045683), 'burr12') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, (), 'cauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, (), array(nan), 'cauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, (), array(nan), array(nan), 'cauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, (), array(nan), array(nan), array(nan), 'cauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, (), array(nan), array(nan), array(nan), 'cauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, (), array(nan), array(nan), 'cauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, (), array(nan), array(nan), 'cauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,), 'chi') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,), array(8.803500028524274), 'chi') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,), array(8.803500028524274), array(0.4983872477731097), 'chi') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,), array(8.803500028524274), array(0.4983872477731097), array(0.08070540729866159), 'chi') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,), array(8.803500028524274), array(0.4983872477731097), array(0.00012562448346861986), 'chi') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,), array(8.803500028524274), array(0.4983872477731097), 'chi') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, (78,), array(8.803500028524274), array(0.4983872477731097), 'chi') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,), 'chi2') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,), array(55.0), 'chi2') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,), array(55.0), array(110.0), 'chi2') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,), array(55.0), array(110.0), array(0.3813850356982369), 'chi2') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,), array(55.0), array(110.0), array(0.21818181818181817), 'chi2') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,), array(55.0), array(110.0), 'chi2') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, (55,), array(55.0), array(110.0), 'chi2') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, (), 'cosine') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, (), array(0.0), 'cosine') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, (), array(0.0), array(1.2898681336964528), 'cosine') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, (), array(0.0), array(1.2898681336964528), array(0.0), 'cosine') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, (), array(0.0), array(1.2898681336964528), array(-0.5937628755982794), 'cosine') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, (), array(0.0), array(1.2898681336964528), 'cosine') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, (), array(0.0), array(1.2898681336964528), 'cosine') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,), 'dgamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,), array(0.0), 'dgamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,), array(0.0), array(2.317469789316161), 'dgamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,), array(0.0), array(2.317469789316161), array(0.0), 'dgamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,), array(0.0), array(2.317469789316161), array(2.4916790213635753), 'dgamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,), array(0.0), array(2.317469789316161), 'dgamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, (1.1023326088288166,), array(0.0), array(2.317469789316161), 'dgamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,), 'dweibull') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,), array(0.0), 'dweibull') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,), array(0.0), array(0.9864464467132684), 'dweibull') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,), array(0.0), array(0.9864464467132684), array(0.0), 'dweibull') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,), array(0.0), array(0.9864464467132684), array(-1.0648415230241897), 'dweibull') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,), array(0.0), array(0.9864464467132684), 'dweibull') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, (2.0685080649914673,), array(0.0), array(0.9864464467132684), 'dweibull') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,), 'erlang') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,), array(10.0), 'erlang') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,), array(10.0), array(10.0), 'erlang') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,), array(10.0), array(10.0), array(0.6324555320336759), 'erlang') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,), array(10.0), array(10.0), array(0.6), 'erlang') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,), array(10.0), array(10.0), 'erlang') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, (10,), array(10.0), array(10.0), 'erlang') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, (), 'expon') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, (), array(1.0), 'expon') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, (), array(1.0), array(1.0), 'expon') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, (), array(1.0), array(1.0), array(2.0), 'expon') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, (), array(1.0), array(1.0), array(6.0), 'expon') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, (), array(1.0), array(1.0), 'expon') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, (), array(1.0), array(1.0), 'expon') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,), 'exponnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,), array(1.5), 'exponnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,), array(1.5), array(3.25), 'exponnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,), array(1.5), array(3.25), array(1.1520696383139375), 'exponnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,), array(1.5), array(3.25), array(2.8757396449704142), 'exponnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,), array(1.5), array(3.25), 'exponnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, (1.5,), array(1.5), array(3.25), 'exponnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,), 'exponpow') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,), array(0.7662233066738208), 'exponpow') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,), array(0.7662233066738208), array(0.05900404926303959), 'exponpow') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,), array(0.7662233066738208), array(0.05900404926303959), array(-0.347347660029231), 'exponpow') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,), array(0.7662233066738208), array(0.05900404926303959), array(-0.4213746864322059), 'exponpow') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,), array(0.7662233066738208), array(0.05900404926303959), 'exponpow') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, (2.697119160358469,), array(0.7662233066738208), array(0.05900404926303959), 'exponpow') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174), 'exponweib') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174), array(1.2873418037984081), 'exponweib') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174), array(1.2873418037984081), array(0.18119174498958057), 'exponweib') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174), array(1.2873418037984081), array(0.18119174498958057), array(0.5157379043535791), 'exponweib') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174), array(1.2873418037984081), array(0.18119174498958057), array(0.3369393168301693), 'exponweib') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174), array(1.2873418037984081), array(0.18119174498958057), 'exponweib') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, (2.8923945291034436, 1.9505288745913174), array(1.2873418037984081), array(0.18119174498958057), 'exponweib') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18), 'f') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18), array(1.125), 'f') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18), array(1.125), array(0.2805572660098522), 'f') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18), array(1.125), array(0.2805572660098522), array(1.8065676503195025), 'f') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18), array(1.125), array(0.2805572660098522), array(7.074636015325671), 'f') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18), array(1.125), array(0.2805572660098522), 'f') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, (29, 18), array(1.125), array(0.2805572660098522), 'f') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,), 'fatiguelife') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,), array(421.5), 'fatiguelife') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,), array(421.5), array(884942.25), 'fatiguelife') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,), array(421.5), array(884942.25), array(3.9324197112322734), 'fatiguelife') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,), array(421.5), array(884942.25), array(22.288990076080054), 'fatiguelife') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,), array(421.5), array(884942.25), 'fatiguelife') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, (29,), array(421.5), array(884942.25), 'fatiguelife') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,), 'fisk') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,), array(1.19619763403311), 'fisk') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,), array(1.19619763403311), array(0.8476350940310082), 'fisk') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,), array(1.19619763403311), array(0.8476350940310082), array(38.793885693515904), 'fisk') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,), array(1.19619763403311), array(0.8476350940310082), array(-224.65926997934696), 'fisk') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,), array(1.19619763403311), array(0.8476350940310082), 'fisk') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, (3.085754862225318,), array(1.19619763403311), array(0.8476350940310082), 'fisk') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,), 'foldcauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,), array(inf), 'foldcauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,), array(inf), array(inf), 'foldcauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,), array(inf), array(inf), array(nan), 'foldcauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,), array(inf), array(inf), array(nan), 'foldcauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,), array(inf), array(inf), 'foldcauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, (4.716467345583189,), array(inf), array(inf), 'foldcauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,), 'foldnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,), array(1.97141281966251), 'foldnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,), array(1.97141281966251), array(0.9243248272159761), 'foldnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,), array(1.97141281966251), array(0.9243248272159761), array(0.20218900253106292), 'foldnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,), array(1.97141281966251), array(0.9243248272159761), array(-0.29482714516536346), 'foldnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,), array(1.97141281966251), array(0.9243248272159761), 'foldnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, (1.952125337355587,), array(1.97141281966251), array(0.9243248272159761), 'foldnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,), 'frechet_l') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,), array(-0.9014841669765833), 'frechet_l') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,), array(-0.9014841669765833), array(0.07628805428396324), 'frechet_l') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,), array(-0.9014841669765833), array(0.07628805428396324), array(0.006104263287622929), 'frechet_l') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,), array(-0.9014841669765833), array(0.07628805428396324), array(-0.2818133662068032), 'frechet_l') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,), array(-0.9014841669765833), array(0.07628805428396324), 'frechet_l') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, (3.627991125558324,), array(-0.9014841669765833), array(0.07628805428396324), 'frechet_l') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,), 'frechet_r') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,), array(0.8874727066669884), 'frechet_r') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,), array(0.8874727066669884), array(0.23766896745884436), 'frechet_r') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,), array(0.8874727066669884), array(0.23766896745884436), array(0.7065459693993913), 'frechet_r') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,), array(0.8874727066669884), array(0.23766896745884436), array(0.39547016325636486), 'frechet_r') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,), array(0.8874727066669884), array(0.23766896745884436), 'frechet_r') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, (1.8928171603534227,), array(0.8874727066669884), array(0.23766896745884436), 'frechet_r') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,), 'gamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,), array(1.9932305483800778), 'gamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,), array(1.9932305483800778), array(1.9932305483800778), 'gamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,), array(1.9932305483800778), array(1.9932305483800778), array(1.4166130177907663), 'gamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,), array(1.9932305483800778), array(1.9932305483800778), array(3.0101886632613932), 'gamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,), array(1.9932305483800778), array(1.9932305483800778), 'gamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, (1.9932305483800778,), array(1.9932305483800778), array(1.9932305483800778), 'gamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), 'gausshyper') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), array(0.7906029420813253), 'gausshyper') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), array(0.7906029420813253), array(0.010324457830051759), 'gausshyper') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), array(0.7906029420813253), array(0.010324457830051759), array(-0.6628325415964956), 'gausshyper') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), array(0.7906029420813253), array(0.010324457830051759), array(0.2806942412466569), 'gausshyper') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), array(0.7906029420813253), array(0.010324457830051759), 'gausshyper') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615), array(0.7906029420813253), array(0.010324457830051759), 'gausshyper') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), 'genexpon') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), array(0.08188155356604161), 'genexpon') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), array(0.08188155356604161), array(0.004748806170273534), 'genexpon') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), array(0.08188155356604161), array(0.004748806170273534), array(1.3751487011577455), 'genexpon') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), array(0.08188155356604161), array(0.004748806170273534), array(2.4424447290103073), 'genexpon') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), array(0.08188155356604161), array(0.004748806170273534), 'genexpon') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, (9.13259764654189, 16.23195660059063, 3.2819552690843983), array(0.08188155356604161), array(0.004748806170273534), 'genexpon') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,), 'genextreme') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,), array(0.6862870211931967), 'genextreme') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,), array(0.6862870211931967), array(2.226241073208163), 'genextreme') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,), array(0.6862870211931967), array(2.226241073208163), array(1.910339134169258), 'genextreme') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,), array(0.6862870211931967), array(2.226241073208163), array(7.97856623934554), 'genextreme') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,), array(0.6862870211931967), array(2.226241073208163), 'genextreme') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, (-0.1,), array(0.6862870211931967), array(2.226241073208163), 'genextreme') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276), 'gengamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276), array(1.5702162249275609), 'gengamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276), array(1.5702162249275609), array(0.06031754975858039), 'gengamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276), array(1.5702162249275609), array(0.06031754975858039), array(-0.0012140900141765522), 'gengamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276), array(1.5702162249275609), array(0.06031754975858039), array(-0.056266734989042444), 'gengamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276), array(1.5702162249275609), array(0.06031754975858039), 'gengamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, 3.119309167924276), array(1.5702162249275609), array(0.06031754975858039), 'gengamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276), 'gengamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276), array(0.6537166259223826), 'gengamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276), array(0.6537166259223826), array(0.012328139631863633), 'gengamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276), array(0.6537166259223826), array(0.012328139631863633), array(1.1270830252950979), 'gengamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276), array(0.6537166259223826), array(0.012328139631863633), array(2.6688407308994986), 'gengamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276), array(0.6537166259223826), array(0.012328139631863633), 'gengamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, (4.4162385429431925, -3.119309167924276), array(0.6537166259223826), array(0.012328139631863633), 'gengamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,), 'genhalflogistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,), array(0.7059765645084812), 'genhalflogistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,), array(0.7059765645084812), array(0.1245976512110375), 'genhalflogistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,), array(0.7059765645084812), array(0.1245976512110375), array(-0.24249204350218645), 'genhalflogistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,), array(0.7059765645084812), array(0.1245976512110375), array(-1.0517972149956503), 'genhalflogistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,), array(0.7059765645084812), array(0.1245976512110375), 'genhalflogistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, (0.7727472780992932,), array(0.7059765645084812), array(0.1245976512110375), 'genhalflogistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,), 'genlogistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,), array(-1.8996417990533176), 'genlogistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,), array(-1.8996417990533176), array(8.552010763257432), 'genlogistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,), array(-1.8996417990533176), array(8.552010763257432), array(-1.0866965990869508), 'genlogistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,), array(-1.8996417990533176), array(8.552010763257432), array(2.962249140600136), 'genlogistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,), array(-1.8996417990533176), array(8.552010763257432), 'genlogistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, (0.41192440799679475,), array(-1.8996417990533176), array(8.552010763257432), 'genlogistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,), 'gennorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,), array(0.0), 'gennorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,), array(0.0), array(0.9781522540594563), 'gennorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,), array(0.0), array(0.9781522540594563), array(0.0), 'gennorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,), array(0.0), array(0.9781522540594563), array(1.3409532556742016), 'gennorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,), array(0.0), array(0.9781522540594563), 'gennorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, (1.2988442399460265,), array(0.0), array(0.9781522540594563), 'gennorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,), 'halfgennorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,), array(2.184324004621562), 'halfgennorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,), array(2.184324004621562), array(7.411379016778527), 'halfgennorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,), array(2.184324004621562), array(7.411379016778527), array(3.0137680416781523), 'halfgennorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,), array(2.184324004621562), array(7.411379016778527), array(15.319419439517294), 'halfgennorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,), array(2.184324004621562), array(7.411379016778527), 'halfgennorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, (0.6748054997000371,), array(2.184324004621562), array(7.411379016778527), 'halfgennorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,), 'genpareto') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,), array(1.1111111111111116), 'genpareto') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,), array(1.1111111111111116), array(1.543209876543199), 'genpareto') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,), array(1.1111111111111116), array(1.543209876543199), array(2.8110568859996445), 'genpareto') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,), array(1.1111111111111116), array(1.543209876543199), array(14.828571428571088), 'genpareto') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,), array(1.1111111111111116), array(1.543209876543199), 'genpareto') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, (0.1,), array(1.1111111111111116), array(1.543209876543199), 'genpareto') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, (), 'gilbrat') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, (), array(1.6487212707001282), 'gilbrat') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, (), array(1.6487212707001282), array(4.670774270471604), 'gilbrat') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, (), array(1.6487212707001282), array(4.670774270471604), array(6.184877138632554), 'gilbrat') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, (), array(1.6487212707001282), array(4.670774270471604), array(110.9363921763115), 'gilbrat') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, (), array(1.6487212707001282), array(4.670774270471604), 'gilbrat') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, (), array(1.6487212707001282), array(4.670774270471604), 'gilbrat') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,), 'gompertz') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,), array(0.6184238176289112), 'gompertz') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,), array(0.6184238176289112), array(0.18616258957405357), 'gompertz') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,), array(0.6184238176289112), array(0.18616258957405357), array(0.6959821296460654), 'gompertz') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,), array(0.6184238176289112), array(0.18616258957405357), array(-0.06504735973450293), 'gompertz') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,), array(0.6184238176289112), array(0.18616258957405357), 'gompertz') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, (0.9474371307510525,), array(0.6184238176289112), array(0.18616258957405357), 'gompertz') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, (), 'gumbel_l') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, (), array(-0.5772156649015329), 'gumbel_l') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, (), array(-0.5772156649015329), array(1.6449340668482264), 'gumbel_l') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, (), array(-0.5772156649015329), array(1.6449340668482264), array(-1.1395470994046486), 'gumbel_l') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, (), array(-0.5772156649015329), array(1.6449340668482264), array(2.4), 'gumbel_l') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, (), array(-0.5772156649015329), array(1.6449340668482264), 'gumbel_l') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, (), array(-0.5772156649015329), array(1.6449340668482264), 'gumbel_l') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, (), 'gumbel_r') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, (), array(0.5772156649015329), 'gumbel_r') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, (), array(0.5772156649015329), array(1.6449340668482264), 'gumbel_r') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, (), array(0.5772156649015329), array(1.6449340668482264), array(1.1395470994046486), 'gumbel_r') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, (), array(0.5772156649015329), array(1.6449340668482264), array(2.4), 'gumbel_r') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, (), array(0.5772156649015329), array(1.6449340668482264), 'gumbel_r') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, (), array(0.5772156649015329), array(1.6449340668482264), 'gumbel_r') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, (), 'halfcauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, (), array(inf), 'halfcauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, (), array(inf), array(inf), 'halfcauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, (), array(inf), array(inf), array(nan), 'halfcauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, (), array(inf), array(inf), array(nan), 'halfcauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, (), array(inf), array(inf), 'halfcauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, (), array(inf), array(inf), 'halfcauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, (), 'halflogistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, (), array(1.3862943611198906), 'halflogistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, (), array(1.3862943611198906), array(1.3680560780236473), 'halflogistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, (), array(1.3862943611198906), array(1.3680560780236473), array(1.5403288034048799), 'halflogistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, (), array(1.3862943611198906), array(1.3680560780236473), array(3.5837356644567118), 'halflogistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, (), array(1.3862943611198906), array(1.3680560780236473), 'halflogistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, (), array(1.3862943611198906), array(1.3680560780236473), 'halflogistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, (), 'halfnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, (), array(0.7978845608028654), 'halfnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, (), array(0.7978845608028654), array(0.3633802276324186), 'halfnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, (), array(0.7978845608028654), array(0.3633802276324186), array(0.9952717464311565), 'halfnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, (), array(0.7978845608028654), array(0.3633802276324186), array(0.8691773036059736), 'halfnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, (), array(0.7978845608028654), array(0.3633802276324186), 'halfnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, (), array(0.7978845608028654), array(0.3633802276324186), 'halfnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, (), 'hypsecant') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, (), array(0.0), 'hypsecant') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, (), array(0.0), array(2.4674011002723395), 'hypsecant') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, (), array(0.0), array(2.4674011002723395), array(0.0), 'hypsecant') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, (), array(0.0), array(2.4674011002723395), array(2.0), 'hypsecant') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, (), array(0.0), array(2.4674011002723395), 'hypsecant') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, (), array(0.0), array(2.4674011002723395), 'hypsecant') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,), 'invgamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,), array(0.32606218851545515), 'invgamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,), array(0.32606218851545515), array(0.05143769444574254), 'invgamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,), array(0.32606218851545515), array(0.05143769444574254), array(5.390091349038727), 'invgamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,), array(0.32606218851545515), array(0.05143769444574254), array(784.6844614431316), 'invgamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,), array(0.32606218851545515), array(0.05143769444574254), 'invgamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, (4.066899613699307,), array(0.32606218851545515), array(0.05143769444574254), 'invgamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,), 'invgauss') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,), array(0.14546264555347513), 'invgauss') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,), array(0.14546264555347513), array(0.0030778995751055637), 'invgauss') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,), array(0.14546264555347513), array(0.0030778995751055637), array(1.1441869646090521), 'invgauss') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,), array(0.14546264555347513), array(0.0030778995751055637), array(2.1819396833021267), 'invgauss') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,), array(0.14546264555347513), array(0.0030778995751055637), 'invgauss') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, (0.14546264555347513,), array(0.14546264555347513), array(0.0030778995751055637), 'invgauss') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (10.58,), 'invweibull') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (10.58,), array(1.0642459285670487), 'invweibull') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (10.58,), array(1.0642459285670487), array(0.019515313751788277), 'invweibull') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (10.58,), array(1.0642459285670487), array(0.019515313751788277), array(1.8555734565118946), 'invweibull') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (10.58,), array(1.0642459285670487), array(0.019515313751788277), array(7.439048066393044), 'invweibull') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (10.58,), array(1.0642459285670487), array(0.019515313751788277), 'invweibull') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, (10.58,), array(1.0642459285670487), array(0.019515313751788277), 'invweibull') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063), 'johnsonsb') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063), array(0.20952073643389102), 'johnsonsb') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063), array(0.20952073643389102), array(0.002660854446324197), 'johnsonsb') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063), array(0.20952073643389102), array(0.002660854446324197), array(0.522821469559576), 'johnsonsb') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063), array(0.20952073643389102), array(0.002660854446324197), array(0.3452531138802146), 'johnsonsb') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063), array(0.20952073643389102), array(0.002660854446324197), 'johnsonsb') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, (4.317267509914106, 3.1837781130785063), array(0.20952073643389102), array(0.002660854446324197), 'johnsonsb') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, (2.554395574161155, 2.2482281679651965), 'johnsonsu') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, (2.554395574161155, 2.2482281679651965), array(-1.5421538673934547), 'johnsonsu') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, (2.554395574161155, 2.2482281679651965), array(-1.5421538673934547), array(0.7629881969825036), 'johnsonsu') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, (2.554395574161155, 2.2482281679651965), array(-1.5421538673934547), array(0.7629881969825036), array(-1.2566561942512924), 'johnsonsu') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, (2.554395574161155, 2.2482281679651965), array(-1.5421538673934547), array(0.7629881969825036), array(3.3030583739040162), 'johnsonsu') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, (2.554395574161155, 2.2482281679651965), array(-1.5421538673934547), array(0.7629881969825036), 'johnsonsu') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, (2.554395574161155, 2.2482281679651965), array(-1.5421538673934547), array(0.7629881969825036), 'johnsonsu') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0), array(0.5772156649133174), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0), array(0.5772156649133174), array(1.6449340668314645), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0), array(0.5772156649133174), array(1.6449340668314645), array(1.139547099046641), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0), array(0.5772156649133174), array(1.6449340668314645), array(2.40000000155596), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0), array(0.5772156649133174), array(1.6449340668314645), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.0), array(0.5772156649133174), array(1.6449340668314645), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1), array(nan), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1), array(nan), array(nan), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1), array(nan), array(nan), array(nan), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1), array(nan), array(nan), array(nan), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1), array(nan), array(nan), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (-0.1, 0.1), array(nan), array(nan), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1), array(0.4864923013495951), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1), array(0.4864923013495951), array(1.310045507307856), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1), array(0.4864923013495951), array(1.310045507307856), array(0.6376371347527543), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1), array(0.4864923013495951), array(1.310045507307856), array(0.5701664822244408), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1), array(0.4864923013495951), array(1.310045507307856), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.0, 0.1), array(0.4864923013495951), array(1.310045507307856), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0), array(0.6263831609844223), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0), array(0.6263831609844223), array(1.5497677311412845), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0), array(0.6263831609844223), array(1.5497677311412845), array(1.241415595613092), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0), array(0.6263831609844223), array(1.5497677311412845), array(2.703086645753488), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0), array(0.6263831609844223), array(1.5497677311412845), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, (0.1, 0.0), array(0.6263831609844223), array(1.5497677311412845), 'kappa4') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,), 'kappa3') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,), array(nan), 'kappa3') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,), array(nan), array(nan), 'kappa3') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,), array(nan), array(nan), array(nan), 'kappa3') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,), array(nan), array(nan), array(nan), 'kappa3') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,), array(nan), array(nan), 'kappa3') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, (1.0,), array(nan), array(nan), 'kappa3') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, (1000,), 'ksone') ... KNOWNFAIL: ksone fails moments
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, (1000,), array(0.019651596727324566), 'ksone') ... KNOWNFAIL: ksone fails moments
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, (1000,), array(0.019651596727324566), array(0.00010726424678741248), 'ksone') ... KNOWNFAIL: ksone fails moments
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, (1000,), array(0.019651596727324566), array(0.00010726424678741248), array(0.6308352572853094), 'ksone') ... KNOWNFAIL: ksone fails moments
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, (1000,), array(0.019651596727324566), array(0.00010726424678741248), array(0.2438058855013061), 'ksone') ... KNOWNFAIL: ksone fails moments
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, (1000,), array(0.019651596727324566), array(0.00010726424678741248), 'ksone') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, (1000,), array(0.019651596727324566), array(0.00010726424678741248), 'ksone') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, (), 'kstwobign') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, (), array(0.868733101720468), 'kstwobign') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, (), array(0.868733101720468), array(0.06777109615641685), 'kstwobign') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, (), array(0.868733101720468), array(0.06777109615641685), array(0.8605412767467805), 'kstwobign') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, (), array(0.868733101720468), array(0.06777109615641685), array(0.8815636216220502), 'kstwobign') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, (), array(0.868733101720468), array(0.06777109615641685), 'kstwobign') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, (), array(0.868733101720468), array(0.06777109615641685), 'kstwobign') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, (), 'laplace') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, (), array(0.0), 'laplace') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, (), array(0.0), array(2.0), 'laplace') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, (), array(0.0), array(2.0), array(0.0), 'laplace') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, (), array(0.0), array(2.0), array(3.0), 'laplace') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, (), array(0.0), array(2.0), 'laplace') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, (), array(0.0), array(2.0), 'laplace') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, (), 'levy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, (), array(inf), 'levy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, (), array(inf), array(inf), 'levy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, (), array(inf), array(inf), array(nan), 'levy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, (), array(inf), array(inf), array(nan), 'levy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, (), array(inf), array(inf), 'levy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, (), array(inf), array(inf), 'levy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, (), 'levy_l') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, (), array(inf), 'levy_l') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, (), array(inf), array(inf), 'levy_l') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, (), array(inf), array(inf), array(nan), 'levy_l') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, (), array(inf), array(inf), array(nan), 'levy_l') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, (), array(inf), array(inf), 'levy_l') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, (), array(inf), array(inf), 'levy_l') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,), 'loggamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,), array(-2.4617679388246976), 'loggamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,), array(-2.4617679388246976), array(6.842650224597859), 'loggamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,), array(-2.4617679388246976), array(6.842650224597859), array(-1.6271711780961668), 'loggamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,), array(-2.4617679388246976), array(6.842650224597859), array(4.3945820492323024), 'loggamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,), array(-2.4617679388246976), array(6.842650224597859), 'loggamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, (0.4141193182605212,), array(-2.4617679388246976), array(6.842650224597859), 'loggamma') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, (), 'logistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, (), array(0.0), 'logistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, (), array(0.0), array(3.289868133696453), 'logistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, (), array(0.0), array(3.289868133696453), array(0.0), 'logistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, (), array(0.0), array(3.289868133696453), array(1.2), 'logistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, (), array(0.0), array(3.289868133696453), 'logistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, (), array(0.0), array(3.289868133696453), 'logistic') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,), 'loglaplace') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,), array(1.1045330480739983), 'loglaplace') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,), array(1.1045330480739983), array(0.38917293304477574), 'loglaplace') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,), array(1.1045330480739983), array(0.38917293304477574), array(16.92370386892702), 'loglaplace') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,), array(1.1045330480739983), array(0.38917293304477574), array(-164.33255525634516), 'loglaplace') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,), array(1.1045330480739983), array(0.38917293304477574), 'loglaplace') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, (3.2505926592051435,), array(1.1045330480739983), array(0.38917293304477574), 'loglaplace') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,), 'lognorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,), array(1.5757871665018548), 'lognorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,), array(1.5757871665018548), array(3.682706210913771), 'lognorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,), array(1.5757871665018548), array(3.682706210913771), array(5.459651320442649), 'lognorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,), array(1.5757871665018548), array(3.682706210913771), array(81.13538114889037), 'lognorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,), array(1.5757871665018548), array(3.682706210913771), 'lognorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, (0.9536822696057533,), array(1.5757871665018548), array(3.682706210913771), 'lognorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,), 'lomax') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,), array(1.1400690695795155), 'lomax') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,), array(1.1400690695795155), array(inf), 'lomax') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,), array(1.1400690695795155), array(inf), array(nan), 'lomax') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,), array(1.1400690695795155), array(inf), array(nan), 'lomax') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,), array(1.1400690695795155), array(inf), 'lomax') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, (1.8771398388773268,), array(1.1400690695795155), array(inf), 'lomax') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, (), 'maxwell') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, (), array(1.5957691216057308), 'maxwell') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, (), array(1.5957691216057308), array(0.45352091052967447), 'maxwell') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, (), array(1.5957691216057308), array(0.45352091052967447), array(0.4856928280495921), 'maxwell') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, (), array(1.5957691216057308), array(0.45352091052967447), array(0.10816384281629526), 'maxwell') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, (), array(1.5957691216057308), array(0.45352091052967447), 'maxwell') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, (), array(1.5957691216057308), array(0.45352091052967447), 'maxwell') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, (10.4, 3.6), 'mielke') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, (10.4, 3.6), array(1.6383160845171076), 'mielke') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, (10.4, 3.6), array(1.6383160845171076), array(0.7601429668550521), 'mielke') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, (10.4, 3.6), array(1.6383160845171076), array(0.7601429668550521), array(7.595400852569838), 'mielke') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, (10.4, 3.6), array(1.6383160845171076), array(0.7601429668550521), array(-149.40508974312957), 'mielke') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, (10.4, 3.6), array(1.6383160845171076), array(0.7601429668550521), 'mielke') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, (10.4, 3.6), array(1.6383160845171076), array(0.7601429668550521), 'mielke') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,), 'nakagami') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,), array(0.9751907537016976), 'nakagami') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,), array(0.9751907537016976), array(0.049002993894714963), 'nakagami') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,), array(0.9751907537016976), array(0.049002993894714963), array(0.23829632709565707), 'nakagami') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,), array(0.9751907537016976), array(0.049002993894714963), array(0.00863845340209659), 'nakagami') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,), array(0.9751907537016976), array(0.049002993894714963), 'nakagami') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, (4.967379486666624,), array(0.9751907537016976), array(0.049002993894714963), 'nakagami') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107), 'ncf') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107), array(1.0966313767196905), 'ncf') ... KNOWNFAIL: ncf fails moments
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107), array(1.0966313767196905), array(0.1983532534130308), 'ncf') ... KNOWNFAIL: ncf fails moments
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107), array(1.0966313767196905), array(0.1983532534130308), array(40747519832.68757), 'ncf') ... KNOWNFAIL: ncf fails moments
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107), array(1.0966313767196905), array(0.1983532534130308), array(-239984516632.67633), 'ncf') ... KNOWNFAIL: ncf fails moments
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107), array(1.0966313767196905), array(0.1983532534130308), 'ncf') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, (27, 27, 0.41578441799226107), array(1.0966313767196905), array(0.1983532534130308), 'ncf') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066), 'nct') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066), array(0.2543673273832777), 'nct') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066), array(0.2543673273832777), array(1.1694163414603564), 'nct') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066), array(0.2543673273832777), array(1.1694163414603564), array(0.0641276998630896), 'nct') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066), array(0.2543673273832777), array(1.1694163414603564), array(0.6060326145973969), 'nct') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066), array(0.2543673273832777), array(1.1694163414603564), 'nct') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, (14, 0.24045031331198066), array(0.2543673273832777), array(1.1694163414603564), 'nct') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415), 'ncx2') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415), array(22.056046597511642), 'ncx2') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415), array(22.056046597511642), array(46.22418639004657), 'ncx2') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415), array(22.056046597511642), array(46.22418639004657), array(0.6152183742567207), 'ncx2') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415), array(22.056046597511642), array(46.22418639004657), array(0.5666564713183122), 'ncx2') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415), array(22.056046597511642), array(46.22418639004657), 'ncx2') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, (21, 1.0560465975116415), array(22.056046597511642), array(46.22418639004657), 'ncx2') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, (), 'norm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, (), array(0.0), 'norm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, (), array(0.0), array(1.0), 'norm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, (), array(0.0), array(1.0), array(0.0), 'norm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, (), array(0.0), array(1.0), array(0.0), 'norm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, (), array(0.0), array(1.0), 'norm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, (), array(0.0), array(1.0), 'norm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,), 'pareto') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,), array(1.616630576416252), 'pareto') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,), array(1.616630576416252), array(1.6034057205287133), 'pareto') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,), array(1.616630576416252), array(1.6034057205287133), array(nan), 'pareto') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,), array(1.616630576416252), array(1.6034057205287133), array(nan), 'pareto') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,), array(1.616630576416252), array(1.6034057205287133), 'pareto') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, (2.621716532144454,), array(1.616630576416252), array(1.6034057205287133), 'pareto') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,), 'pearson3') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,), array(0.0), 'pearson3') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,), array(0.0), array(1.0), 'pearson3') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,), array(0.0), array(1.0), array(0.1), 'pearson3') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,), array(0.0), array(1.0), array(0.015), 'pearson3') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,), array(0.0), array(1.0), 'pearson3') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, (0.1,), array(0.0), array(1.0), 'pearson3') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,), 'powerlaw') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,), array(0.6239347946935357), 'powerlaw') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,), array(0.6239347946935357), array(0.06412487003483977), 'powerlaw') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,), array(0.6239347946935357), array(0.06412487003483977), array(-0.4201812992456981), 'powerlaw') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,), array(0.6239347946935357), array(0.06412487003483977), array(-0.8422050933168337), 'powerlaw') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,), array(0.6239347946935357), array(0.06412487003483977), 'powerlaw') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, (1.659113328990585,), array(0.6239347946935357), array(0.06412487003483977), 'powerlaw') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, (2.1413923530064087, 0.44639540782048337), 'powerlognorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, (2.1413923530064087, 0.44639540782048337), array(0.810935038061184), 'powerlognorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, (2.1413923530064087, 0.44639540782048337), array(0.810935038061184), array(0.0873939451413348), 'powerlognorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, (2.1413923530064087, 0.44639540782048337), array(0.810935038061184), array(0.0873939451413348), array(0.980014817785748), 'powerlognorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, (2.1413923530064087, 0.44639540782048337), array(0.810935038061184), array(0.0873939451413348), array(1.7355689968010877), 'powerlognorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, (2.1413923530064087, 0.44639540782048337), array(0.810935038061184), array(0.0873939451413348), 'powerlognorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, (2.1413923530064087, 0.44639540782048337), array(0.810935038061184), array(0.0873939451413348), 'powerlognorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,), 'powernorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,), array(-1.093437855173515), 'powernorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,), array(-1.093437855173515), array(0.4699972285119369), 'powernorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,), array(-1.093437855173515), array(0.4699972285119369), array(-0.2827240838225257), 'powernorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,), array(-1.093437855173515), array(0.4699972285119369), array(0.18022412195768567), 'powernorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,), array(-1.093437855173515), array(0.4699972285119369), 'powernorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, (4.445365225459078,), array(-1.093437855173515), array(0.4699972285119369), 'powernorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, (), 'rayleigh') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, (), array(1.2533141373155001), 'rayleigh') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, (), array(1.2533141373155001), array(0.42920367320510344), 'rayleigh') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, (), array(1.2533141373155001), array(0.42920367320510344), array(0.6311106578189364), 'rayleigh') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, (), array(1.2533141373155001), array(0.42920367320510344), array(0.24508930068763846), 'rayleigh') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, (), array(1.2533141373155001), array(0.42920367320510344), 'rayleigh') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, (), array(1.2533141373155001), array(0.42920367320510344), 'rayleigh') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, (0.9,), 'rdist') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, (0.9,), array(0.0), 'rdist') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, (0.9,), array(0.0), array(0.5263157894736842), 'rdist') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, (0.9,), array(0.0), array(0.5263157894736842), array(0.0), 'rdist') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, (0.9,), array(0.0), array(0.5263157894736842), array(-1.5384615384615379), 'rdist') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, (0.9,), array(0.0), array(0.5263157894736842), 'rdist') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, (0.9,), array(0.0), array(0.5263157894736842), 'rdist') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, (0.6300426780936912,), 'recipinvgauss') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, (0.6300426780936912,), array(2.587194066017164), 'recipinvgauss') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, (0.6300426780936912,), array(2.587194066017164), array(3.5871940659080437), 'recipinvgauss') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, (0.6300426780936912,), array(2.587194066017164), array(3.5871940659080437), array(1.8783313855738184), 'recipinvgauss') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, (0.6300426780936912,), array(2.587194066017164), array(3.5871940659080437), array(5.580364203206386), 'recipinvgauss') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, (0.6300426780936912,), array(2.587194066017164), array(3.5871940659080437), 'recipinvgauss') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, (0.6300426780936912,), array(2.587194066017164), array(3.5871940659080437), 'recipinvgauss') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522), 'reciprocal') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522), array(0.19667848552072986), 'reciprocal') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522), array(0.19667848552072986), array(0.06088230728737548), 'reciprocal') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522), array(0.19667848552072986), array(0.06088230728737548), array(1.5484905300526821), 'reciprocal') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522), array(0.19667848552072986), array(0.06088230728737548), array(1.4458866779500097), 'reciprocal') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522), array(0.19667848552072986), array(0.06088230728737548), 'reciprocal') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, (0.0062309367010521255, 1.0062309367010522), array(0.19667848552072986), array(0.06088230728737548), 'reciprocal') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,), 'rice') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,), array(1.434767764680493), 'rice') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,), array(1.434767764680493), array(0.5420238697561759), 'rice') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,), array(1.434767764680493), array(0.5420238697561759), array(0.5751430341819647), 'rice') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,), array(1.434767764680493), array(0.5420238697561759), array(0.11715363377381705), 'rice') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,), array(1.434767764680493), array(0.5420238697561759), 'rice') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, (0.7749725210111873,), array(1.434767764680493), array(0.5420238697561759), 'rice') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, (), 'semicircular') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, (), array(0.0), 'semicircular') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, (), array(0.0), array(0.25), 'semicircular') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, (), array(0.0), array(0.25), array(0.0), 'semicircular') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, (), array(0.0), array(0.25), array(-1.0), 'semicircular') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, (), array(0.0), array(0.25), 'semicircular') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, (), array(0.0), array(0.25), 'semicircular') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,), 'skewnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,), array(0.7740617226446519), 'skewnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,), array(0.7740617226446519), array(0.40082844953639396), 'skewnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,), array(0.7740617226446519), array(0.40082844953639396), array(0.7844267553823128), 'skewnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,), array(0.7740617226446519), array(0.40082844953639396), array(0.6327847548211796), 'skewnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,), array(0.7740617226446519), array(0.40082844953639396), 'skewnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, (4.0,), array(0.7740617226446519), array(0.40082844953639396), 'skewnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,), 't') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,), array(0.0), 't') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,), array(0.0), array(3.6905172081719186), 't') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,), array(0.0), array(3.6905172081719186), array(nan), 't') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,), array(0.0), array(3.6905172081719186), array(nan), 't') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,), array(0.0), array(3.6905172081719186), 't') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, (2.7433514990818093,), array(0.0), array(3.6905172081719186), 't') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8), 'trapz') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8), array(0.5), 'trapz') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8), array(0.5), array(0.05666666666666659), 'trapz') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8), array(0.5), array(0.05666666666666659), array(-2.103082820665855e-10), 'trapz') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8), array(0.5), array(0.05666666666666659), array(-1.067128025914661), 'trapz') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8), array(0.5), array(0.05666666666666659), 'trapz') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, (0.2, 0.8), array(0.5), array(0.05666666666666659), 'trapz') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,), 'triang') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,), array(0.385950099415094), 'triang') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,), array(0.385950099415094), array(0.048170356578380126), 'triang') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,), array(0.385950099415094), array(0.048170356578380126), array(0.5113166530592317), 'triang') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,), array(0.385950099415094), array(0.048170356578380126), array(-0.6), 'triang') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,), array(0.385950099415094), array(0.048170356578380126), 'triang') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, (0.15785029824528218,), array(0.385950099415094), array(0.048170356578380126), 'triang') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,), 'truncexpon') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,), array(0.9565416934684103), 'truncexpon') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,), array(0.9565416934684103), array(0.7942583444332338), 'truncexpon') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,), array(0.9565416934684103), array(0.7942583444332338), array(1.4367831372889814), 'truncexpon') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,), array(0.9565416934684103), array(0.7942583444332338), array(1.9323520443826672), 'truncexpon') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,), array(0.9565416934684103), array(0.7942583444332338), 'truncexpon') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, (4.690772545681048,), array(0.9565416934684103), array(0.7942583444332338), 'truncexpon') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198), 'truncnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198), array(0.2425601397703228), 'truncnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198), array(0.2425601397703228), array(0.6322152443797492), 'truncnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198), array(0.2425601397703228), array(0.6322152443797492), array(0.4645532607885992), 'truncnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198), array(0.2425601397703228), array(0.6322152443797492), array(-0.35450690906364146), 'truncnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198), array(0.2425601397703228), array(0.6322152443797492), 'truncnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (-1.0978730080013919, 2.730675410903198), array(0.2425601397703228), array(0.6322152443797492), 'truncnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0), 'truncnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0), array(0.7840519151638219), 'truncnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0), array(0.7840519151638219), array(0.2291509367652892), 'truncnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0), array(0.7840519151638219), array(0.2291509367652892), array(0.5695324611275522), 'truncnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0), array(0.7840519151638219), array(0.2291509367652892), array(-0.598693246815043), 'truncnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0), array(0.7840519151638219), array(0.2291509367652892), 'truncnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, (0.1, 2.0), array(0.7840519151638219), array(0.2291509367652892), 'truncnorm') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,), 'tukeylambda') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,), array(0.0), 'tukeylambda') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,), array(0.0), array(0.02687245442325796), 'tukeylambda') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,), array(0.0), array(0.02687245442325796), array(0.0), 'tukeylambda') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,), array(0.0), array(0.02687245442325796), array(-0.8973029020449426), 'tukeylambda') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,), array(0.0), array(0.02687245442325796), 'tukeylambda') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, (3.1321477856738267,), array(0.0), array(0.02687245442325796), 'tukeylambda') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, (), 'uniform') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, (), array(0.5), 'uniform') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, (), array(0.5), array(0.08333333333333333), 'uniform') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, (), array(0.5), array(0.08333333333333333), array(0.0), 'uniform') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, (), array(0.5), array(0.08333333333333333), array(-1.2), 'uniform') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, (), array(0.5), array(0.08333333333333333), 'uniform') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, (), array(0.5), array(0.08333333333333333), 'uniform') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, (3.99390425810714,), 'vonmises') ... KNOWNFAIL: vonmises fails moments
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, (3.99390425810714,), array(8.827426624405104e-17), 'vonmises') ... KNOWNFAIL: vonmises fails moments
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, (3.99390425810714,), array(8.827426624405104e-17), array(0.29880424181701337), 'vonmises') ... KNOWNFAIL: vonmises fails moments
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, (3.99390425810714,), array(8.827426624405104e-17), array(0.29880424181701337), array(8.829398641037222e-15), 'vonmises') ... KNOWNFAIL: vonmises fails moments
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, (3.99390425810714,), array(8.827426624405104e-17), array(0.29880424181701337), array(0.6905715325859028), 'vonmises') ... KNOWNFAIL: vonmises fails moments
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, (3.99390425810714,), array(8.827426624405104e-17), array(0.29880424181701337), 'vonmises') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, (3.99390425810714,), array(8.827426624405104e-17), array(0.29880424181701337), 'vonmises') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,), 'vonmises_line') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,), array(-1.6273949281155507e-16), 'vonmises_line') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,), array(-1.6273949281155507e-16), array(0.2988042418170117), 'vonmises_line') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,), array(-1.6273949281155507e-16), array(0.2988042418170117), array(-8.259805925171294e-15), 'vonmises_line') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,), array(-1.6273949281155507e-16), array(0.2988042418170117), array(0.6905715325856892), 'vonmises_line') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,), array(-1.6273949281155507e-16), array(0.2988042418170117), 'vonmises_line') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, (3.99390425810714,), array(-1.6273949281155507e-16), array(0.2988042418170117), 'vonmises_line') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, (), 'wald') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, (), array(1.0), 'wald') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, (), array(1.0), array(1.0), 'wald') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, (), array(1.0), array(1.0), array(3.0), 'wald') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, (), array(1.0), array(1.0), array(15.0), 'wald') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, (), array(1.0), array(1.0), 'wald') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, (), array(1.0), array(1.0), 'wald') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,), 'weibull_max') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,), array(-0.8912967688766094), 'weibull_max') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,), array(-0.8912967688766094), array(0.11369305518071726), 'weibull_max') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,), array(-0.8912967688766094), array(0.11369305518071726), array(-0.21253836002374615), 'weibull_max') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,), array(-0.8912967688766094), array(0.11369305518071726), array(-0.2515120569220235), 'weibull_max') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,), array(-0.8912967688766094), array(0.11369305518071726), 'weibull_max') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, (2.8687961709100187,), array(-0.8912967688766094), array(0.11369305518071726), 'weibull_max') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,), 'weibull_min') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,), array(0.8896162979747507), 'weibull_min') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,), array(0.8896162979747507), array(0.2651066228900293), 'weibull_min') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,), array(0.8896162979747507), array(0.2651066228900293), array(0.7897382058318793), 'weibull_min') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,), array(0.8896162979747507), array(0.2651066228900293), array(0.5829893386854628), 'weibull_min') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,), array(0.8896162979747507), array(0.2651066228900293), 'weibull_min') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, (1.7866166930421596,), array(0.8896162979747507), array(0.2651066228900293), 'weibull_min') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,), 'wrapcauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,), array(3.141592653589793), 'wrapcauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,), array(3.141592653589793), array(3.4151322438845), 'wrapcauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,), array(3.141592653589793), array(3.4151322438845), array(5.629229045913315e-16), 'wrapcauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,), array(3.141592653589793), array(3.4151322438845), array(-1.245745344857695), 'wrapcauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,), array(3.141592653589793), array(3.4151322438845), 'wrapcauchy') ... ok
test_continuous_basic.test_moments(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, (0.031071279018614728,), array(3.141592653589793), array(3.4151322438845), 'wrapcauchy') ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.alpha_gen object at 0x22fb250>, 'alpha', [array([[[ 3.57047705]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.anglit_gen object at 0x22fb4d0>, 'anglit', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.arcsine_gen object at 0x22fb6d0>, 'arcsine', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.beta_gen object at 0x22fb950>, 'beta', [array([[[ 2.30984965]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.betaprime_gen object at 0x22fbbd0>, 'betaprime', [array([[[ 5.]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.bradford_gen object at 0x22fbe50>, 'bradford', [array([[[ 0.2989136]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.burr_gen object at 0x2305150>, 'burr', [array([[[ 10.5]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.burr12_gen object at 0x23053d0>, 'burr12', [array([[[ 10.]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.cauchy_gen object at 0x23058d0>, 'cauchy', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.chi_gen object at 0x2305b10>, 'chi', [array([[[ 78.]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.chi2_gen object at 0x2305d90>, 'chi2', [array([[[ 55.]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.cosine_gen object at 0x2309050>, 'cosine', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.dgamma_gen object at 0x2309250>, 'dgamma', [array([[[ 1.10233261]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.dweibull_gen object at 0x23094d0>, 'dweibull', [array([[[ 2.06850806]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.erlang_gen object at 0x238f1d0>, 'erlang', [array([[[ 10.]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.expon_gen object at 0x2309750>, 'expon', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.exponnorm_gen object at 0x2309950>, 'exponnorm', [array([[[ 1.5]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.exponpow_gen object at 0x2309e50>, 'exponpow', [array([[[ 2.69711916]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.exponweib_gen object at 0x2309bd0>, 'exponweib', [array([[[ 2.89239453]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.f_gen object at 0x237d610>, 'f', [array([[[ 29.]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.fatiguelife_gen object at 0x237d110>, 'fatiguelife', [array([[[ 29.]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.fisk_gen object at 0x2305650>, 'fisk', [array([[[ 3.08575486]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.foldcauchy_gen object at 0x237d390>, 'foldcauchy', [array([[[ 4.71646735]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.foldnorm_gen object at 0x237d890>, 'foldnorm', [array([[[ 1.95212534]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.frechet_l_gen object at 0x237dfd0>, 'frechet_l', [array([[[ 3.62799113]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237db10>, 'frechet_r', [array([[[ 1.89281716]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.gamma_gen object at 0x2387f10>, 'gamma', [array([[[ 1.99323055]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.gausshyper_gen object at 0x238c810>, 'gausshyper', [array([[[ 13.7637716]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.genexpon_gen object at 0x23879d0>, 'genexpon', [array([[[ 9.13259765]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.genextreme_gen object at 0x2387c90>, 'genextreme', [array([[[-0.1]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, 'gengamma', [array([[[ 4.41623854]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.gengamma_gen object at 0x238f450>, 'gengamma', [array([[[ 4.41623854]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.genhalflogistic_gen object at 0x238f6d0>, 'genhalflogistic', [array([[[ 0.77274728]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.genlogistic_gen object at 0x23874d0>, 'genlogistic', [array([[[ 0.41192441]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.gennorm_gen object at 0x2445b50>, 'gennorm', [array([[[ 1.29884424]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.halfgennorm_gen object at 0x2445dd0>, 'halfgennorm', [array([[[ 0.6748055]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.genpareto_gen object at 0x2387750>, 'genpareto', [array([[[ 0.1]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.gilbrat_gen object at 0x23a89d0>, 'gilbrat', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.gompertz_gen object at 0x238f950>, 'gompertz', [array([[[ 0.94743713]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.gumbel_l_gen object at 0x238fdd0>, 'gumbel_l', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.gumbel_r_gen object at 0x238fbd0>, 'gumbel_r', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.halfcauchy_gen object at 0x238ffd0>, 'halfcauchy', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.halflogistic_gen object at 0x238c210>, 'halflogistic', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.halfnorm_gen object at 0x238c410>, 'halfnorm', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.hypsecant_gen object at 0x238c610>, 'hypsecant', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.invgamma_gen object at 0x238ca90>, 'invgamma', [array([[[ 4.06689961]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.invgauss_gen object at 0x238cd50>, 'invgauss', [array([[[ 0.14546265]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.invweibull_gen object at 0x238cfd0>, 'invweibull', [array([[[ 10.58]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.johnsonsb_gen object at 0x23a1290>, 'johnsonsb', [array([[[ 4.31726751]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.johnsonsu_gen object at 0x23a1510>, 'johnsonsu', [array([[[ 2.55439557]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, 'kappa4', [array([[[ 0.]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, 'kappa4', [array([[[-0.1]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, 'kappa4', [array([[[ 0.]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.kappa4_gen object at 0x23b0090>, 'kappa4', [array([[[ 0.1]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.kappa3_gen object at 0x23b0310>, 'kappa3', [array([[[ 1.]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.ksone_gen object at 0x22f4c10>, 'ksone', [array([[[ 1000.]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.kstwobign_gen object at 0x22f4e10>, 'kstwobign', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.laplace_gen object at 0x23a1790>, 'laplace', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.levy_gen object at 0x23a1890>, 'levy', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.levy_l_gen object at 0x23a1b90>, 'levy_l', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.levy_stable_gen object at 0x23a1d90>, 'levy_stable', [array([[[ 0.35667405]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.loggamma_gen object at 0x23a8250>, 'loggamma', [array([[[ 0.41411932]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.logistic_gen object at 0x23a8050>, 'logistic', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.loglaplace_gen object at 0x23a84d0>, 'loglaplace', [array([[[ 3.25059266]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.lognorm_gen object at 0x23a8750>, 'lognorm', [array([[[ 0.95368227]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.lomax_gen object at 0x23b2590>, 'lomax', [array([[[ 1.87713984]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.maxwell_gen object at 0x23a8bd0>, 'maxwell', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.mielke_gen object at 0x23a8dd0>, 'mielke', [array([[[ 10.4]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.nakagami_gen object at 0x23b0590>, 'nakagami', [array([[[ 4.96737949]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.ncf_gen object at 0x23b0a90>, 'ncf', [array([[[ 27.]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.nct_gen object at 0x23b0fd0>, 'nct', [array([[[ 14.]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.ncx2_gen object at 0x23b0810>, 'ncx2', [array([[[ 21.]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.norm_gen object at 0x22fb050>, 'norm', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.pareto_gen object at 0x23b22d0>, 'pareto', [array([[[ 2.62171653]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.pearson3_gen object at 0x23b2810>, 'pearson3', [array([[[ 0.1]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.powerlaw_gen object at 0x23b2a90>, 'powerlaw', [array([[[ 1.65911333]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.powerlognorm_gen object at 0x23b2d10>, 'powerlognorm', [array([[[ 2.14139235]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.powernorm_gen object at 0x23b2f90>, 'powernorm', [array([[[ 4.44536523]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.rayleigh_gen object at 0x24394d0>, 'rayleigh', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.rdist_gen object at 0x2439250>, 'rdist', [array([[[ 0.9]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.recipinvgauss_gen object at 0x2439bd0>, 'recipinvgauss', [array([[[ 0.63004268]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.reciprocal_gen object at 0x24396d0>, 'reciprocal', [array([[[ 0.00623094]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.rice_gen object at 0x2439950>, 'rice', [array([[[ 0.77497252]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.semicircular_gen object at 0x2439e50>, 'semicircular', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.skew_norm_gen object at 0x243e090>, 'skewnorm', [array([[[ 4.]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.t_gen object at 0x23b0d50>, 't', [array([[[ 2.7433515]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.trapz_gen object at 0x243e350>, 'trapz', [array([[[ 0.2]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.triang_gen object at 0x243e5d0>, 'triang', [array([[[ 0.1578503]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.truncexpon_gen object at 0x243e850>, 'truncexpon', [array([[[ 4.69077255]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, 'truncnorm', [array([[[-1.09787301]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.truncnorm_gen object at 0x243ead0>, 'truncnorm', [array([[[ 0.1]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.tukeylambda_gen object at 0x243ed50>, 'tukeylambda', [array([[[ 3.13214779]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.uniform_gen object at 0x243efd0>, 'uniform', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445210>, 'vonmises', [array([[[ 3.99390426]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.vonmises_gen object at 0x2445490>, 'vonmises_line', [array([[[ 3.99390426]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.wald_gen object at 0x24456d0>, 'wald', [array([ 0.,  0.]), array([[ 1.], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.frechet_l_gen object at 0x2387290>, 'weibull_max', [array([[[ 2.86879617]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.frechet_r_gen object at 0x237dd90>, 'weibull_min', [array([[[ 1.78661669]], ... ok
test_continuous_basic.test_rvs_broadcast(<scipy.stats._continuous_distns.wrapcauchy_gen object at 0x24458d0>, 'wrapcauchy', [array([[[ 0.03107128]], ... ok
test_continuous_basic.test_rvs_gh2069_regression ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>, (0.3,), array([0, 1]), 'bernoulli cdf_ppf') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>, (0.3,), 'bernoulli') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>, (0.3,), array([0, 1]), 'bernoulli oth') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>, (0.3,)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>, (0.3,), array([0, 0, 0, ..., 1, 0, 0]), 0.01, 'bernoulli chisquare') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.binom_gen object at 0x244ea90>, (5, 0.4), array([0, 1, 2, 3, 4, 5]), 'binom cdf_ppf') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.binom_gen object at 0x244ea90>, (5, 0.4), 'binom') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.binom_gen object at 0x244ea90>, (5, 0.4), array([0, 1, 2, 3, 4, 5]), 'binom oth') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.binom_gen object at 0x244ea90>, (5, 0.4)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.binom_gen object at 0x244ea90>, (5, 0.4), array([2, 2, 2, ..., 4, 1, 3]), 0.01, 'binom chisquare') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>, (1.4, 19), array([0, 1, 2, 3, 4]), 'boltzmann cdf_ppf') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>, (1.4, 19), 'boltzmann') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>, (1.4, 19), array([0, 1, 2, 3, 4]), 'boltzmann oth') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>, (1.4, 19)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>, (1.4, 19), array([0, 0, 0, ..., 2, 0, 0]), 0.01, 'boltzmann chisquare') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>, (0.8,), array([-8, -7, -6, -5, -4, -3, -2, -1,  0,  1,  2,  3,  4,  5,  6,  7]), 'dlaplace cdf_ppf') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>, (0.8,), 'dlaplace') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>, (0.8,), array([-8, -7, -6, -5, -4, -3, -2, -1,  0,  1,  2,  3,  4,  5,  6,  7]), 'dlaplace oth') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>, (0.8,)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>, (0.8,), array([ 0,  0,  0, ...,  4, -1,  0]), 0.01, 'dlaplace chisquare') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.geom_gen object at 0x245e150>, (0.5,), array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10]), 'geom cdf_ppf') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.geom_gen object at 0x245e150>, (0.5,), 'geom') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.geom_gen object at 0x245e150>, (0.5,), array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10]), 'geom oth') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.geom_gen object at 0x245e150>, (0.5,)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.geom_gen object at 0x245e150>, (0.5,), array([1, 1, 2, ..., 6, 1, 2]), 0.01, 'geom chisquare') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (30, 12, 6), array([0, 1, 2, 3, 4, 5, 6]), 'hypergeom cdf_ppf') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (30, 12, 6), 'hypergeom') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (30, 12, 6), array([0, 1, 2, 3, 4, 5, 6]), 'hypergeom oth') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (30, 12, 6)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (30, 12, 6), array([1, 1, 4, ..., 3, 2, 2]), 0.01, 'hypergeom chisquare') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 3, 12), array([0, 1, 2, 3]), 'hypergeom cdf_ppf') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 3, 12), 'hypergeom') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 3, 12), array([0, 1, 2, 3]), 'hypergeom oth') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 3, 12)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 3, 12), array([2, 3, 2, ..., 2, 2, 1]), 0.01, 'hypergeom chisquare') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 18, 11), array([ 8,  9, 10, 11]), 'hypergeom cdf_ppf') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 18, 11), 'hypergeom') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 18, 11), array([ 8,  9, 10, 11]), 'hypergeom oth') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 18, 11)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 18, 11), array([ 9,  8,  9, ..., 10, 10, 10]), 0.01, 'hypergeom chisquare') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.logser_gen object at 0x245e510>, (0.6,), array([1, 2, 3, 4, 5, 6, 7, 8, 9]), 'logser cdf_ppf') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.logser_gen object at 0x245e510>, (0.6,), 'logser') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.logser_gen object at 0x245e510>, (0.6,), array([1, 2, 3, 4, 5, 6, 7, 8, 9]), 'logser oth') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.logser_gen object at 0x245e510>, (0.6,)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.logser_gen object at 0x245e510>, (0.6,), array([1, 1, 1, ..., 1, 1, 4]), 0.01, 'logser chisquare') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (5, 0.5), array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (5, 0.5), 'nbinom') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (5, 0.5), array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (5, 0.5)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (5, 0.5), array([0, 2, 6, ..., 3, 3, 3]), 0.01, 'nbinom chisquare') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (0.4, 0.4), array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 12]), 'nbinom cdf_ppf') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (0.4, 0.4), 'nbinom') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (0.4, 0.4), array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 12]), 'nbinom oth') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (0.4, 0.4)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (0.4, 0.4), array([0, 0, 0, ..., 0, 0, 0]), 0.01, 'nbinom chisquare') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.planck_gen object at 0x245ea50>, (0.51,), array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12]), 'planck cdf_ppf') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.planck_gen object at 0x245ea50>, (0.51,), 'planck') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.planck_gen object at 0x245ea50>, (0.51,), array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12]), 'planck oth') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.planck_gen object at 0x245ea50>, (0.51,)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.planck_gen object at 0x245ea50>, (0.51,), array([1, 1, 1, ..., 7, 0, 2]), 0.01, 'planck chisquare') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.poisson_gen object at 0x245e710>, (0.6,), array([0, 1, 2, 3, 4, 5]), 'poisson cdf_ppf') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.poisson_gen object at 0x245e710>, (0.6,), 'poisson') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.poisson_gen object at 0x245e710>, (0.6,), array([0, 1, 2, 3, 4, 5]), 'poisson oth') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.poisson_gen object at 0x245e710>, (0.6,)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.poisson_gen object at 0x245e710>, (0.6,), array([0, 0, 0, ..., 1, 0, 0]), 0.01, 'poisson chisquare') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.randint_gen object at 0x245ef10>, (7, 31), array([ 7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.randint_gen object at 0x245ef10>, (7, 31), 'randint') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.randint_gen object at 0x245ef10>, (7, 31), array([ 7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.randint_gen object at 0x245ef10>, (7, 31)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.randint_gen object at 0x245ef10>, (7, 31), array([27, 10, 15, ..., 16,  9, 17]), 0.01, 'randint chisquare') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>, (15, 8), array([-10,  -7,  -6,  -5,  -4,  -3,  -2,  -1,   0,   1,   2,   3,   4, ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>, (15, 8), 'skellam') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>, (15, 8), array([-10,  -7,  -6,  -5,  -4,  -3,  -2,  -1,   0,   1,   2,   3,   4, ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>, (15, 8)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>, (15, 8), array([ 4,  6, 10, ...,  5, 14, 15]), 0.01, 'skellam chisquare') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.zipf_gen object at 0x2468250>, (6.5,), array([1, 2, 4]), 'zipf cdf_ppf') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.zipf_gen object at 0x2468250>, (6.5,), 'zipf') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.zipf_gen object at 0x2468250>, (6.5,), array([1, 2, 4]), 'zipf oth') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.zipf_gen object at 0x2468250>, (6.5,)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.zipf_gen object at 0x2468250>, (6.5,), array([1, 1, 1, ..., 1, 1, 1]), 0.01, 'zipf chisquare') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>, (), array([1, 2, 3, 4]), 'sample distribution cdf_ppf') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>, (), 'sample distribution') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>, (), array([1, 2, 3, 4]), 'sample distribution oth') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>, ()) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>, (), array([3, 3, 3, ..., 4, 2, 4]), 0.01, 'sample distribution chisquare') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>, 0, (0.3,), (0,), [<bound method bernoulli_gen.pmf of <scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>>, <bound method bernoulli_gen.logpmf of <scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>>, <bound method bernoulli_gen.cdf of <scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>>, <bound method bernoulli_gen.logcdf of <scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>>, <bound method bernoulli_gen.logsf of <scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>>]) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>,) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>, (0.3,)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>, (0.3,)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>, (0.3,), 'bernoulli') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>, (0.3,), <class 'scipy.stats._distn_infrastructure.rv_discrete'>) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.binom_gen object at 0x244ea90>, 1, (5, 0.4), (0,), [<bound method binom_gen.pmf of <scipy.stats._discrete_distns.binom_gen object at 0x244ea90>>, <bound method binom_gen.logpmf of <scipy.stats._discrete_distns.binom_gen object at 0x244ea90>>, <bound method binom_gen.cdf of <scipy.stats._discrete_distns.binom_gen object at 0x244ea90>>, <bound method binom_gen.logcdf of <scipy.stats._discrete_distns.binom_gen object at 0x244ea90>>, <bound method binom_gen.logsf of <scipy.stats._discrete_distns.binom_gen object at 0x244ea90>>]) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.binom_gen object at 0x244ea90>,) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.binom_gen object at 0x244ea90>, (5, 0.4)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.binom_gen object at 0x244ea90>, (5, 0.4)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.binom_gen object at 0x244ea90>, (5, 0.4), 'binom') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.binom_gen object at 0x244ea90>, (5, 0.4), <class 'scipy.stats._distn_infrastructure.rv_discrete'>) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>, 1, (1.4, 19), (0,), [<bound method boltzmann_gen.pmf of <scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>>, <bound method boltzmann_gen.logpmf of <scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>>, <bound method boltzmann_gen.cdf of <scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>>, <bound method boltzmann_gen.logcdf of <scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>>, <bound method boltzmann_gen.logsf of <scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>>]) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>,) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>, (1.4, 19)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>, (1.4, 19)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>, (1.4, 19), 'boltzmann') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>, 1, (0.8,), (0,), [<bound method dlaplace_gen.pmf of <scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>>, <bound method dlaplace_gen.logpmf of <scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>>, <bound method dlaplace_gen.cdf of <scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>>, <bound method dlaplace_gen.logcdf of <scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>>, <bound method dlaplace_gen.logsf of <scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>>]) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>,) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>, (0.8,)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>, (0.8,)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>, (0.8,), 'dlaplace') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>, (0.8,), <class 'scipy.stats._distn_infrastructure.rv_discrete'>) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.geom_gen object at 0x245e150>, 1, (0.5,), (0,), [<bound method geom_gen.pmf of <scipy.stats._discrete_distns.geom_gen object at 0x245e150>>, <bound method geom_gen.logpmf of <scipy.stats._discrete_distns.geom_gen object at 0x245e150>>, <bound method geom_gen.cdf of <scipy.stats._discrete_distns.geom_gen object at 0x245e150>>, <bound method geom_gen.logcdf of <scipy.stats._discrete_distns.geom_gen object at 0x245e150>>, <bound method geom_gen.logsf of <scipy.stats._discrete_distns.geom_gen object at 0x245e150>>]) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.geom_gen object at 0x245e150>,) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.geom_gen object at 0x245e150>, (0.5,)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.geom_gen object at 0x245e150>, (0.5,)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.geom_gen object at 0x245e150>, (0.5,), 'geom') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, 4, (30, 12, 6), (0,), [<bound method hypergeom_gen.pmf of <scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>>, <bound method hypergeom_gen.logpmf of <scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>>, <bound method hypergeom_gen.cdf of <scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>>, <bound method hypergeom_gen.logcdf of <scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>>, <bound method hypergeom_gen.logsf of <scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>>]) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>,) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (30, 12, 6)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (30, 12, 6)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (30, 12, 6), 'hypergeom') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (30, 12, 6), <class 'scipy.stats._distn_infrastructure.rv_discrete'>) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.logser_gen object at 0x245e510>, 1, (0.6,), (0,), [<bound method logser_gen.pmf of <scipy.stats._discrete_distns.logser_gen object at 0x245e510>>, <bound method logser_gen.logpmf of <scipy.stats._discrete_distns.logser_gen object at 0x245e510>>, <bound method logser_gen.cdf of <scipy.stats._discrete_distns.logser_gen object at 0x245e510>>, <bound method logser_gen.logcdf of <scipy.stats._discrete_distns.logser_gen object at 0x245e510>>, <bound method logser_gen.logsf of <scipy.stats._discrete_distns.logser_gen object at 0x245e510>>]) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.logser_gen object at 0x245e510>,) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.logser_gen object at 0x245e510>, (0.6,)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.logser_gen object at 0x245e510>, (0.6,)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.logser_gen object at 0x245e510>, (0.6,), 'logser') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, 1, (5, 0.5), (0,), [<bound method nbinom_gen.pmf of <scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>>, <bound method nbinom_gen.logpmf of <scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>>, <bound method nbinom_gen.cdf of <scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>>, <bound method nbinom_gen.logcdf of <scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>>, <bound method nbinom_gen.logsf of <scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>>]) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>,) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (5, 0.5)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (5, 0.5)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (5, 0.5), 'nbinom') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.planck_gen object at 0x245ea50>, 1, (0.51,), (0,), [<bound method planck_gen.pmf of <scipy.stats._discrete_distns.planck_gen object at 0x245ea50>>, <bound method planck_gen.logpmf of <scipy.stats._discrete_distns.planck_gen object at 0x245ea50>>, <bound method planck_gen.cdf of <scipy.stats._discrete_distns.planck_gen object at 0x245ea50>>, <bound method planck_gen.logcdf of <scipy.stats._discrete_distns.planck_gen object at 0x245ea50>>, <bound method planck_gen.logsf of <scipy.stats._discrete_distns.planck_gen object at 0x245ea50>>]) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.planck_gen object at 0x245ea50>,) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.planck_gen object at 0x245ea50>, (0.51,)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.planck_gen object at 0x245ea50>, (0.51,)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.planck_gen object at 0x245ea50>, (0.51,), 'planck') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.planck_gen object at 0x245ea50>, (0.51,), <class 'scipy.stats._distn_infrastructure.rv_discrete'>) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.poisson_gen object at 0x245e710>, 1, (0.6,), (0,), [<bound method poisson_gen.pmf of <scipy.stats._discrete_distns.poisson_gen object at 0x245e710>>, <bound method poisson_gen.logpmf of <scipy.stats._discrete_distns.poisson_gen object at 0x245e710>>, <bound method poisson_gen.cdf of <scipy.stats._discrete_distns.poisson_gen object at 0x245e710>>, <bound method poisson_gen.logcdf of <scipy.stats._discrete_distns.poisson_gen object at 0x245e710>>, <bound method poisson_gen.logsf of <scipy.stats._discrete_distns.poisson_gen object at 0x245e710>>]) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.poisson_gen object at 0x245e710>,) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.poisson_gen object at 0x245e710>, (0.6,)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.poisson_gen object at 0x245e710>, (0.6,)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.poisson_gen object at 0x245e710>, (0.6,), 'poisson') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.randint_gen object at 0x245ef10>, 11, (7, 31), (0,), [<bound method randint_gen.pmf of <scipy.stats._discrete_distns.randint_gen object at 0x245ef10>>, <bound method randint_gen.logpmf of <scipy.stats._discrete_distns.randint_gen object at 0x245ef10>>, <bound method randint_gen.cdf of <scipy.stats._discrete_distns.randint_gen object at 0x245ef10>>, <bound method randint_gen.logcdf of <scipy.stats._discrete_distns.randint_gen object at 0x245ef10>>, <bound method randint_gen.logsf of <scipy.stats._discrete_distns.randint_gen object at 0x245ef10>>]) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.randint_gen object at 0x245ef10>,) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.randint_gen object at 0x245ef10>, (7, 31)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.randint_gen object at 0x245ef10>, (7, 31)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.randint_gen object at 0x245ef10>, (7, 31), 'randint') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.randint_gen object at 0x245ef10>, (7, 31), <class 'scipy.stats._distn_infrastructure.rv_discrete'>) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>, 1, (15, 8), (0,), [<bound method skellam_gen.pmf of <scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>>, <bound method skellam_gen.logpmf of <scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>>, <bound method skellam_gen.cdf of <scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>>, <bound method skellam_gen.logcdf of <scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>>, <bound method skellam_gen.logsf of <scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>>]) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>,) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>, (15, 8)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>, (15, 8)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>, (15, 8), 'skellam') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.zipf_gen object at 0x2468250>, 1, (6.5,), (0,), [<bound method zipf_gen.pmf of <scipy.stats._discrete_distns.zipf_gen object at 0x2468250>>, <bound method zipf_gen.logpmf of <scipy.stats._discrete_distns.zipf_gen object at 0x2468250>>, <bound method zipf_gen.cdf of <scipy.stats._discrete_distns.zipf_gen object at 0x2468250>>, <bound method zipf_gen.logcdf of <scipy.stats._discrete_distns.zipf_gen object at 0x2468250>>, <bound method zipf_gen.logsf of <scipy.stats._discrete_distns.zipf_gen object at 0x2468250>>]) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.zipf_gen object at 0x2468250>,) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.zipf_gen object at 0x2468250>, (6.5,)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.zipf_gen object at 0x2468250>, (6.5,)) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._discrete_distns.zipf_gen object at 0x2468250>, (6.5,), 'zipf') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>, 1, (), (0,), [<bound method rv_sample.pmf of <scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>>, <bound method rv_sample.logpmf of <scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>>, <bound method rv_sample.cdf of <scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>>, <bound method rv_sample.logcdf of <scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>>, <bound method rv_sample.logsf of <scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>>]) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>, ()) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>, ()) ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>, (), 'sample distribution') ... ok
test_discrete_basic.test_discrete_basic(<scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>, (), <class 'scipy.stats._distn_infrastructure.rv_discrete'>) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>, (0.3,), 'bernoulli') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>, (0.3,), array(0.3), array(0.21), 'bernoulli') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>, (0.3,), array(0.3), 'bernoulli') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>, (0.3,), array(0.3), array(0.21), 'bernoulli') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>, (0.3,), array(0.3), array(0.21), array(0.8728715609439698), 'bernoulli') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>, (0.3,), array(0.3), array(0.21), array(-1.2380952380952375), 'bernoulli') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>, (0.3,), array(0.3), 1) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>, (0.3,), 0.29999999999999999, 2) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.binom_gen object at 0x244ea90>, (5, 0.4), 'binom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.binom_gen object at 0x244ea90>, (5, 0.4), array(2.0), array(1.2), 'binom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.binom_gen object at 0x244ea90>, (5, 0.4), array(2.0), 'binom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.binom_gen object at 0x244ea90>, (5, 0.4), array(2.0), array(1.2), 'binom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.binom_gen object at 0x244ea90>, (5, 0.4), array(2.0), array(1.2), array(0.18257418583505533), 'binom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.binom_gen object at 0x244ea90>, (5, 0.4), array(2.0), array(1.2), array(-0.3666666666666668), 'binom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.binom_gen object at 0x244ea90>, (5, 0.4), array(2.0), 1) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.binom_gen object at 0x244ea90>, (5, 0.4), 5.2000000000000002, 2) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>, (1.4, 19), 'boltzmann') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>, (1.4, 19), array(0.3273108178480401), array(0.4344431884043245), 'boltzmann') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>, (1.4, 19), array(0.3273108178480401), 'boltzmann') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>, (1.4, 19), array(0.3273108178480401), array(0.4344431884043245), 'boltzmann') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>, (1.4, 19), array(0.3273108178480401), array(0.4344431884043245), array(2.5103379528725243), 'boltzmann') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>, (1.4, 19), array(0.3273108178480401), array(0.4344431884043245), array(8.301795033427425), 'boltzmann') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>, (1.4, 19), array(0.3273108178480401), 1) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>, (1.4, 19), 0.54157555988467743, 2) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>, (0.8,), 'dlaplace') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>, (0.8,), array(0.0), array(2.963534189184372), 'dlaplace') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>, (0.8,), array(0.0), 'dlaplace') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>, (0.8,), array(0.0), array(2.963534189184372), 'dlaplace') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>, (0.8,), array(0.0), array(2.963534189184372), array(0.0), 'dlaplace') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>, (0.8,), array(0.0), array(2.963534189184372), array(3.3374349463048434), 'dlaplace') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>, (0.8,), array(0.0), 1) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>, (0.8,), 2.9635341891843718, 2) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.geom_gen object at 0x245e150>, (0.5,), 'geom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.geom_gen object at 0x245e150>, (0.5,), array(2.0), array(2.0), 'geom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.geom_gen object at 0x245e150>, (0.5,), array(2.0), 'geom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.geom_gen object at 0x245e150>, (0.5,), array(2.0), array(2.0), 'geom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.geom_gen object at 0x245e150>, (0.5,), array(2.0), array(2.0), array(2.1213203435596424), 'geom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.geom_gen object at 0x245e150>, (0.5,), array(2.0), array(2.0), array(6.5), 'geom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.geom_gen object at 0x245e150>, (0.5,), array(2.0), 1) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.geom_gen object at 0x245e150>, (0.5,), 6.0, 2) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (30, 12, 6), 'hypergeom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (30, 12, 6), array(2.4000000000000004), array(1.1917241379310344), 'hypergeom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (30, 12, 6), array(2.4000000000000004), 'hypergeom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (30, 12, 6), array(2.4000000000000004), array(1.1917241379310344), 'hypergeom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (30, 12, 6), array(2.4000000000000004), array(1.1917241379310344), array(0.1177759460560082), 'hypergeom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (30, 12, 6), array(2.4000000000000004), array(1.1917241379310344), array(-0.22237838036449148), 'hypergeom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (30, 12, 6), array(2.4000000000000004), 1) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (30, 12, 6), 6.9517241379310359, 2) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 3, 12), 'hypergeom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 3, 12), array(1.7142857142857142), array(0.6612244897959184), 'hypergeom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 3, 12), array(1.7142857142857142), 'hypergeom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 3, 12), array(1.7142857142857142), array(0.6612244897959184), 'hypergeom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 3, 12), array(1.7142857142857142), array(0.6612244897959184), array(-0.13869638860387626), 'hypergeom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 3, 12), array(1.7142857142857142), array(0.6612244897959184), array(-0.5184102230885856), 'hypergeom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 3, 12), array(1.7142857142857142), 1) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 3, 12), 3.5999999999999996, 2) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 18, 11), 'hypergeom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 18, 11), array(9.428571428571429), array(0.673469387755102), 'hypergeom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 18, 11), array(9.428571428571429), 'hypergeom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 18, 11), array(9.428571428571429), array(0.673469387755102), 'hypergeom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 18, 11), array(9.428571428571429), array(0.673469387755102), array(0.04580990946202575), 'hypergeom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 18, 11), array(9.428571428571429), array(0.673469387755102), array(-0.529505582137161), 'hypergeom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 18, 11), array(9.428571428571429), 1) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, (21, 18, 11), 89.571428571428584, 2) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.logser_gen object at 0x245e510>, (0.6,), 'logser') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.logser_gen object at 0x245e510>, (0.6,), array(1.637035001905937), array(1.4127039072996714), 'logser') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.logser_gen object at 0x245e510>, (0.6,), array(1.637035001905937), 'logser') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.logser_gen object at 0x245e510>, (0.6,), array(1.637035001905937), array(1.4127039072996714), 'logser') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.logser_gen object at 0x245e510>, (0.6,), array(1.637035001905937), array(1.4127039072996714), array(3.004792867544249), 'logser') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.logser_gen object at 0x245e510>, (0.6,), array(1.637035001905937), array(1.4127039072996714), array(13.656082798308166), 'logser') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.logser_gen object at 0x245e510>, (0.6,), array(1.637035001905937), 1) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.logser_gen object at 0x245e510>, (0.6,), 4.0925875047648423, 2) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (5, 0.5), 'nbinom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (5, 0.5), array(5.0), array(10.0), 'nbinom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (5, 0.5), array(5.0), 'nbinom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (5, 0.5), array(5.0), array(10.0), 'nbinom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (5, 0.5), array(5.0), array(10.0), array(0.9486832980505138), 'nbinom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (5, 0.5), array(5.0), array(10.0), array(1.3), 'nbinom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (5, 0.5), array(5.0), 1) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (5, 0.5), 35.0, 2) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (0.4, 0.4), 'nbinom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (0.4, 0.4), array(0.6000000000000001), array(1.5000000000000002), 'nbinom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (0.4, 0.4), array(0.6000000000000001), 'nbinom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (0.4, 0.4), array(0.6000000000000001), array(1.5000000000000002), 'nbinom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (0.4, 0.4), array(0.6000000000000001), array(1.5000000000000002), array(3.2659863237109037), 'nbinom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (0.4, 0.4), array(0.6000000000000001), array(1.5000000000000002), array(15.666666666666664), 'nbinom') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (0.4, 0.4), array(0.6000000000000001), 1) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, (0.4, 0.4), 1.8600000000000003, 2) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.planck_gen object at 0x245ea50>, (0.51,), 'planck') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.planck_gen object at 0x245ea50>, (0.51,), array(1.5031012098113492), array(3.7624144567476914), 'planck') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.planck_gen object at 0x245ea50>, (0.51,), array(1.5031012098113492), 'planck') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.planck_gen object at 0x245ea50>, (0.51,), array(1.5031012098113492), array(3.7624144567476914), 'planck') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.planck_gen object at 0x245ea50>, (0.51,), array(1.5031012098113492), array(3.7624144567476914), array(2.065378118833971), 'planck') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.planck_gen object at 0x245ea50>, (0.51,), array(1.5031012098113492), array(3.7624144567476914), array(6.265786773758152), 'planck') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.planck_gen object at 0x245ea50>, (0.51,), array(1.5031012098113492), 1) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.planck_gen object at 0x245ea50>, (0.51,), 6.0217277036840331, 2) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.poisson_gen object at 0x245e710>, (0.6,), 'poisson') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.poisson_gen object at 0x245e710>, (0.6,), array(0.6), array(0.6), 'poisson') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.poisson_gen object at 0x245e710>, (0.6,), array(0.6), 'poisson') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.poisson_gen object at 0x245e710>, (0.6,), array(0.6), array(0.6), 'poisson') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.poisson_gen object at 0x245e710>, (0.6,), array(0.6), array(0.6), array(1.2909944487358056), 'poisson') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.poisson_gen object at 0x245e710>, (0.6,), array(0.6), array(0.6), array(1.6666666666666667), 'poisson') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.poisson_gen object at 0x245e710>, (0.6,), array(0.6), 1) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.poisson_gen object at 0x245e710>, (0.6,), 0.95999999999999996, 2) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.randint_gen object at 0x245ef10>, (7, 31), 'randint') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.randint_gen object at 0x245ef10>, (7, 31), array(18.5), array(47.916666666666664), 'randint') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.randint_gen object at 0x245ef10>, (7, 31), array(18.5), 'randint') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.randint_gen object at 0x245ef10>, (7, 31), array(18.5), array(47.916666666666664), 'randint') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.randint_gen object at 0x245ef10>, (7, 31), array(18.5), array(47.916666666666664), array(0.0), 'randint') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.randint_gen object at 0x245ef10>, (7, 31), array(18.5), array(47.916666666666664), array(-1.2041739130434783), 'randint') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.randint_gen object at 0x245ef10>, (7, 31), array(18.5), 1) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.randint_gen object at 0x245ef10>, (7, 31), 390.16666666666669, 2) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>, (15, 8), 'skellam') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>, (15, 8), array(7.0), array(23.0), 'skellam') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>, (15, 8), array(7.0), 'skellam') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>, (15, 8), array(7.0), array(23.0), 'skellam') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>, (15, 8), array(7.0), array(23.0), array(0.06346090862606624), 'skellam') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>, (15, 8), array(7.0), array(23.0), array(0.043478260869565216), 'skellam') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>, (15, 8), array(7.0), 1) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>, (15, 8), 72.0, 2) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.zipf_gen object at 0x2468250>, (6.5,), 'zipf') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.zipf_gen object at 0x2468250>, (6.5,), array(1.0130420979439105), array(0.015940729460401704), 'zipf') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.zipf_gen object at 0x2468250>, (6.5,), array(1.0130420979439105), 'zipf') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.zipf_gen object at 0x2468250>, (6.5,), array(1.0130420979439105), array(0.015940729460401704), 'zipf') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.zipf_gen object at 0x2468250>, (6.5,), array(1.0130420979439105), array(0.015940729460401704), array(12.561822558088188), 'zipf') ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.zipf_gen object at 0x2468250>, (6.5,), array(1.0130420979439105), array(0.015940729460401704), array(279.4461024601007), 'zipf') ... KNOWNFAIL: zipf fails kurtosis
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.zipf_gen object at 0x2468250>, (6.5,), array(1.0130420979439105), 1) ... ok
test_discrete_basic.test_moments(<scipy.stats._discrete_distns.zipf_gen object at 0x2468250>, (6.5,), 1.0421950216670013, 2) ... ok
test_discrete_basic.test_moments(<scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>, (), 'sample distribution') ... ok
test_discrete_basic.test_moments(<scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>, (), array(3.0), array(1.0), 'sample distribution') ... ok
test_discrete_basic.test_moments(<scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>, (), array(3.0), 'sample distribution') ... ok
test_discrete_basic.test_moments(<scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>, (), array(3.0), array(1.0), 'sample distribution') ... ok
test_discrete_basic.test_moments(<scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>, (), array(3.0), array(1.0), array(-0.5999999999999943), 'sample distribution') ... ok
test_discrete_basic.test_moments(<scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>, (), array(3.0), array(1.0), array(-0.8000000000000682), 'sample distribution') ... ok
test_discrete_basic.test_moments(<scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>, (), array(3.0), 1) ... ok
test_discrete_basic.test_moments(<scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>, (), 10.0, 2) ... ok
test_discrete_basic.test_rvs_broadcast(<scipy.stats._discrete_distns.bernoulli_gen object at 0x244ec90>, 'bernoulli', [array([[ 0.3], ... ok
test_discrete_basic.test_rvs_broadcast(<scipy.stats._discrete_distns.binom_gen object at 0x244ea90>, 'binom', [array([[5], ... ok
test_discrete_basic.test_rvs_broadcast(<scipy.stats._discrete_distns.boltzmann_gen object at 0x245ec90>, 'boltzmann', [array([[ 1.4], ... ok
test_discrete_basic.test_rvs_broadcast(<scipy.stats._discrete_distns.dlaplace_gen object at 0x2468110>, 'dlaplace', [array([[ 0.8], ... ok
test_discrete_basic.test_rvs_broadcast(<scipy.stats._discrete_distns.geom_gen object at 0x245e150>, 'geom', [array([[ 0.5], ... ok
test_discrete_basic.test_rvs_broadcast(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, 'hypergeom', [array([[30], ... ok
test_discrete_basic.test_rvs_broadcast(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, 'hypergeom', [array([[21], ... ok
test_discrete_basic.test_rvs_broadcast(<scipy.stats._discrete_distns.hypergeom_gen object at 0x245e350>, 'hypergeom', [array([[21], ... ok
test_discrete_basic.test_rvs_broadcast(<scipy.stats._discrete_distns.logser_gen object at 0x245e510>, 'logser', [array([[ 0.6], ... ok
test_discrete_basic.test_rvs_broadcast(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, 'nbinom', [array([[5], ... ok
test_discrete_basic.test_rvs_broadcast(<scipy.stats._discrete_distns.nbinom_gen object at 0x244ee90>, 'nbinom', [array([[ 0.4], ... ok
test_discrete_basic.test_rvs_broadcast(<scipy.stats._discrete_distns.planck_gen object at 0x245ea50>, 'planck', [array([[ 0.51], ... ok
test_discrete_basic.test_rvs_broadcast(<scipy.stats._discrete_distns.poisson_gen object at 0x245e710>, 'poisson', [array([[ 0.6], ... ok
test_discrete_basic.test_rvs_broadcast(<scipy.stats._discrete_distns.randint_gen object at 0x245ef10>, 'randint', [array([[7], ... ok
test_discrete_basic.test_rvs_broadcast(<scipy.stats._discrete_distns.skellam_gen object at 0x24685d0>, 'skellam', [array([[15], ... ok
test_discrete_basic.test_rvs_broadcast(<scipy.stats._discrete_distns.zipf_gen object at 0x2468250>, 'zipf', [array([[ 6.5], ... ok
test_discrete_basic.test_rvs_broadcast(<scipy.stats._distn_infrastructure.rv_sample object at 0xf5d1b90>, 'rv_discrete(values=(array([1, 2, 3, 4]), array([ 0.1,  0.2,  0.3,  0.4])))', [array([ 0.,  0.])], [2], False, [<type 'numpy.int64'>]) ... ok
test_noexception (test_distributions.TestArrayArgument) ... ok
test_entropy (test_distributions.TestBernoulli) ... ok
test_rvs (test_distributions.TestBernoulli) ... ok
test_logpdf (test_distributions.TestBeta) ... ok
test_logpdf_ticket_1866 (test_distributions.TestBeta) ... ok
test_cdf (test_distributions.TestBetaPrime) ... ok
test_logpdf (test_distributions.TestBetaPrime) ... ok
test_entropy (test_distributions.TestBinom) ... ok
test_pmf (test_distributions.TestBinom) ... ok
test_rvs (test_distributions.TestBinom) ... ok
test_warns_p0 (test_distributions.TestBinom) ... ok
test_cdf_ppf (test_distributions.TestBradford) ... ok
test_precision (test_distributions.TestChi2) ... ok
test_rvs (test_distributions.TestDLaplace) ... ok
test_stats (test_distributions.TestDLaplace) ... ok
test_stats2 (test_distributions.TestDLaplace) ... ok
test_docstrings (test_distributions.TestDocstring) ... ok
test_no_name_arg (test_distributions.TestDocstring) ... ok
test_entropy_2d (test_distributions.TestEntropy) ... ok
test_entropy_2d_zero (test_distributions.TestEntropy) ... ok
test_entropy_base (test_distributions.TestEntropy) ... ok
test_entropy_positive (test_distributions.TestEntropy) ... ok
test_entropy_zero (test_distributions.TestEntropy) ... ok
test_erlang_runtimewarning (test_distributions.TestErlang) ... ok
test_beta (test_distributions.TestExpect) ... ok
test_discrete_kwds (test_distributions.TestExpect) ... ok
test_genhalflogistic (test_distributions.TestExpect) ... ok
test_hypergeom (test_distributions.TestExpect) ... ok
test_logser (test_distributions.TestExpect) ... ok
test_moment (test_distributions.TestExpect) ... ok
test_norm (test_distributions.TestExpect) ... ok
test_poisson (test_distributions.TestExpect) ... ok
test_randint (test_distributions.TestExpect) ... ok
test_rice_overflow (test_distributions.TestExpect) ... ok
test_skellam (test_distributions.TestExpect) ... ok
test_zipf (test_distributions.TestExpect) ... ok
test_tail (test_distributions.TestExpon) ... ok
test_zero (test_distributions.TestExpon) ... ok
test_extremes_x (test_distributions.TestExponNorm) ... ok
test_moments (test_distributions.TestExponNorm) ... ok
test_a_is_1 (test_distributions.TestExponWeib) ... ok
test_a_is_1_c_is_1 (test_distributions.TestExponWeib) ... ok
test_pdf_logpdf (test_distributions.TestExponWeib) ... ok
test_tail (test_distributions.TestExponpow) ... ok
test_f_moments (test_distributions.TestF) ... ok
test_moments_warnings (test_distributions.TestF) ... ok
test_stats_broadcast (test_distributions.TestF) ... KNOWNFAIL: f stats does not properly broadcast
test_distributions.TestFitMethod.test_extra_params ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'uniform', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'norm', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'lognorm', (1.0428189241952115,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'expon', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'beta', (1.8859239719420504, 1.1993280884966351), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'powerlaw', (1.9353812922730764,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'bradford', (1.1099865983606174,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'burr', (1.1999484804184912, 1.501272430361885), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'fisk', (1.4426388032643136,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'cauchy', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'halfcauchy', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'foldcauchy', (1.0222723989594347,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'gamma', (1.4041973969938821,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'gengamma', (1.0956706826015814, 1.3252697768057871), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'loggamma', (1.8146972330996745,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'alpha', (1.5004067409043098,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'anglit', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'arcsine', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'betaprime', (1.1431954753908875, 1.0024297130481057), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'dgamma', (1.0436867072604559,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'exponnorm', (1.8911414348705673,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'exponweib', (1.543975029672298, 1.3170500239832115), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'exponpow', (1.5972522795975741,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'frechet_l', (1.6651724267104542,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'frechet_r', (1.7338267611339553,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'gilbrat', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'f', (1.8975908136229696, 1.4946176431775169), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'ncf', (1.6018488411855185, 1.6957013677403903, 1.516605655613934), 0.01) ... SKIP: ncf fit known to fail
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'chi2', (1.1793264944163604,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'chi', (1.8156222868502565,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'nakagami', (1.8590092334224,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'genpareto', (1.5682801665967938,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'genextreme', (1.2425357552021032,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'genhalflogistic', (1.4191684108553451,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'pareto', (1.9566403161387016,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'lomax', (1.8502070837814779,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'halfnorm', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'halflogistic', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'fatiguelife', (1.5757289037931215,), 0.001) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'foldnorm', (1.4544600680018187,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'ncx2', (1.7613101430613414, 1.4069692095891451), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 't', (1.6967943473794951,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'nct', (1.394747590620574, 1.9339641843422366), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'weibull_min', (1.1700041794067264,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'weibull_max', (1.3362701262628853,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'dweibull', (1.5109482591453047,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'maxwell', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'rayleigh', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'genlogistic', (1.5198780015037601,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'logistic', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'gumbel_l', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'gumbel_r', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'gompertz', (1.688787435650162,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'hypsecant', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'laplace', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'reciprocal', (0.80054159869118102, 1.800541598691181), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'trapz', (0.18766053884412859, 0.64626264784955822), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'triang', (0.25780506920001756,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'tukeylambda', (1.4178930178080051,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'vonmises', (10,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'vonmises', (101,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'vonmises', (1.1578374716709343,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'vonmises_line', (1.3061944518786281,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'pearson3', (1.7532492006480394,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'gennorm', (1.7237063505288792,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'halfgennorm', (1.7387663236651159,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'rice', (1.6202449857743586,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'kappa4', (1.3570690204675042, 1.4022293759039601), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'kappa3', (1.1408071115885265,), 0.01) ... ok
test_distributions.TestFitMethod.test_fit(<function check_distribution at 0xf5cc848>, 'truncnorm', (0.14243898033744851, 1.1424389803374484), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'uniform', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'norm', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'lognorm', (1.6363978022151484,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'expon', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'beta', (1.9086668250226562, 1.7744368516990188), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'powerlaw', (1.5054635185517464,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'bradford', (1.8867600303906227,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'burr', (1.4174163807359013, 1.705013449128062), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'fisk', (1.7771023786317941,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'cauchy', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'halfcauchy', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'foldcauchy', (1.7254574904853999,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'gamma', (1.6597324983040473,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'gengamma', (1.9455562967339444, 1.5945690318333661), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'loggamma', (1.4351070516238444,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'alpha', (1.6600814005584728,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'anglit', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'arcsine', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'betaprime', (1.0426937275878909, 1.1216020447238808), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'dgamma', (1.4216648500264351,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'exponnorm', (1.2662187104070424,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'exponweib', (1.9332471819483232, 1.8200099061905053), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'exponpow', (1.8743621400605539,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'frechet_l', (1.0574524452319731,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'frechet_r', (1.8161005082718462,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'gilbrat', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'f', (1.6318957515136221, 1.6964152859480701), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'ncf', (1.8801344467335908, 1.8722481821365682, 1.8947807319160213), 0.01) ... SKIP: ncf fit known to fail
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'chi2', (1.3202145765474835,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'chi', (1.651885114975209,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'nakagami', (1.969086155514896,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'genpareto', (1.4543784783316167,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'genextreme', (1.5335712047588554,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'genhalflogistic', (1.5404611279914306,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'pareto', (1.3168990715470075,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'lomax', (1.2722138675035941,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'halfnorm', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'halflogistic', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'fatiguelife', (1.2547359257292732,), 0.001) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'foldnorm', (1.0780917215649171,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'ncx2', (1.7674290261674594, 1.321545378299942), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 't', (1.7861613952257427,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'nct', (1.8187579610810378, 1.8606432025082484), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'weibull_min', (1.118207911129558,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'weibull_max', (1.7637334071761255,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'dweibull', (1.1496325313087161,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'maxwell', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'rayleigh', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'genlogistic', (1.4520490482110135,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'logistic', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'gumbel_l', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'gumbel_r', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'gompertz', (1.4840723074108624,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'hypsecant', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'laplace', (), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'reciprocal', (0.70226861496462167, 1.7022686149646216), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'trapz', (0.2459338787313935, 0.47390562124068314), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'triang', (0.64556413277101032,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'tukeylambda', (1.314753543423743,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'vonmises', (10,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'vonmises', (101,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'vonmises', (1.8175315720760543,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'vonmises_line', (1.6098135449811761,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'pearson3', (1.4352814764071709,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'gennorm', (1.9436126764513078,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'halfgennorm', (1.8033526139448217,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'rice', (1.0232469435350982,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'kappa4', (1.1890025929766257, 1.1721658037671137), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'kappa3', (1.9779192472915372,), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit(<function check_distribution at 0xf5cc848>, 'truncnorm', (0.25315471922120614, 1.253154719221206), 0.01) ... ok
test_distributions.TestFitMethod.test_fix_fit_2args_lognorm ... ok
test_distributions.TestFitMethod.test_fix_fit_beta ... ok
test_distributions.TestFitMethod.test_fix_fit_gamma ... ok
test_distributions.TestFitMethod.test_fix_fit_norm ... ok
test_distributions.TestFitMethod.test_fshapes ... ok
test_ab (test_distributions.TestFrozen) ... ok
test_expect (test_distributions.TestFrozen) ... ok
test_gamma (test_distributions.TestFrozen) ... ok
test_norm (test_distributions.TestFrozen) ... ok
test_pickling (test_distributions.TestFrozen) ... ok
test_random_state (test_distributions.TestFrozen) ... ok
test_regression_ticket_1293 (test_distributions.TestFrozen) ... ok
test_rv_frozen_in_namespace (test_distributions.TestFrozen) ... ok
test_logpdf (test_distributions.TestGamma) ... ok
test_pdf (test_distributions.TestGamma) ... ok
test_cdf_bounds (test_distributions.TestGenExpon) ... ok
test_pdf_unity_area (test_distributions.TestGenExpon) ... ok
test_laplace (test_distributions.TestGennorm) ... ok
test_norm (test_distributions.TestGennorm) ... ok
test_ab (test_distributions.TestGenpareto) ... ok
test_c0 (test_distributions.TestGenpareto) ... ok
test_c_continuity (test_distributions.TestGenpareto) ... ok
test_c_continuity_isf (test_distributions.TestGenpareto) ... ok
test_c_continuity_ppf (test_distributions.TestGenpareto) ... ok
test_cdf_ppf_roundtrip (test_distributions.TestGenpareto) ... ok
test_cm1 (test_distributions.TestGenpareto) ... ok
test_logsf (test_distributions.TestGenpareto) ... ok
test_x_inf (test_distributions.TestGenpareto) ... ok
test_cdf_sf (test_distributions.TestGeom) ... ok
test_logcdf_logsf (test_distributions.TestGeom) ... ok
test_logpmf (test_distributions.TestGeom) ... ok
test_pmf (test_distributions.TestGeom) ... ok
test_ppf (test_distributions.TestGeom) ... ok
test_rvs (test_distributions.TestGeom) ... ok
test_cdf_ppf (test_distributions.TestGumbelL) ... ok
test_logcdf_logsf (test_distributions.TestGumbelL) ... ok
test_sf_isf (test_distributions.TestGumbelL) ... ok
test_expon (test_distributions.TestHalfgennorm) ... ok
test_gennorm (test_distributions.TestHalfgennorm) ... ok
test_halfnorm (test_distributions.TestHalfgennorm) ... ok
test_args (test_distributions.TestHypergeom) ... ok
test_cdf_above_one (test_distributions.TestHypergeom) ... ok
test_entropy (test_distributions.TestHypergeom) ... ok
test_logsf (test_distributions.TestHypergeom) ... ok
test_precision (test_distributions.TestHypergeom) ... ok
test_precision2 (test_distributions.TestHypergeom) ... ok
test_rvs (test_distributions.TestHypergeom) ... ok
test_cdf_ppf (test_distributions.TestInvGamma) ... ok
test_invgamma_inf_gh_1866 (test_distributions.TestInvGamma) ... ok
test_sf_isf (test_distributions.TestInvGamma) ... ok
test_cdf_expon (test_distributions.TestKappa4) ... ok
test_cdf_genextreme (test_distributions.TestKappa4) ... ok
test_cdf_genpareto (test_distributions.TestKappa4) ... ok
test_cdf_gumbel_r (test_distributions.TestKappa4) ... ok
test_cdf_logistic (test_distributions.TestKappa4) ... ok
test_cdf_uniform (test_distributions.TestKappa4) ... ok
test_stats (test_distributions.TestLoggamma) ... ok
test_cdf_ppf (test_distributions.TestLogistic) ... ok
test_extreme_values (test_distributions.TestLogistic) ... ok
test_sf_isf (test_distributions.TestLogistic) ... ok
test_logcdf (test_distributions.TestLognorm) ... ok
test_pdf (test_distributions.TestLognorm) ... ok
test_rvs (test_distributions.TestLogser) ... ok
test_pmf (test_distributions.TestNBinom) ... ok
test_rvs (test_distributions.TestNBinom) ... ok
test_broadcasting (test_distributions.TestNct) ... ok
test_nc_parameter (test_distributions.TestNct) ... ok
test_nct_inf_moments (test_distributions.TestNct) ... ok
test_stats (test_distributions.TestPareto) ... ok
test_cdf (test_distributions.TestPearson3) ... ok
test_pdf (test_distributions.TestPearson3) ... ok
test_rvs (test_distributions.TestPearson3) ... ok
test_mu0 (test_distributions.TestPoisson) ... ok
test_pmf_basic (test_distributions.TestPoisson) ... ok
test_rvs (test_distributions.TestPoisson) ... ok
test_stats (test_distributions.TestPoisson) ... ok
test_cdf (test_distributions.TestRandInt) ... ok
test_pdf (test_distributions.TestRandInt) ... ok
test_rvs (test_distributions.TestRandInt) ... ok
test_logpdf (test_distributions.TestRayleigh) ... ok
test_logsf (test_distributions.TestRayleigh) ... ok
test_rdist_cdf_gh1285 (test_distributions.TestRdist) ... ok
test_rice_rvs (test_distributions.TestRice) ... ok
test_rice_zero_b (test_distributions.TestRice) ... ok
test_bad_input (test_distributions.TestRvDiscrete) ... ok
test_cdf (test_distributions.TestRvDiscrete) ... ok
test_cdf_ppf_next (test_distributions.TestRvDiscrete) ... ok
test_entropy (test_distributions.TestRvDiscrete) ... ok
test_expect (test_distributions.TestRvDiscrete) ... ok
test_pmf (test_distributions.TestRvDiscrete) ... ok
test_ppf (test_distributions.TestRvDiscrete) ... ok
test_rvs (test_distributions.TestRvDiscrete) ... ok
test_cdf (test_distributions.TestSkellam) ... ok
test_pmf (test_distributions.TestSkellam) ... ok
test_moments (test_distributions.TestSkewNorm) ... ok
test_normal (test_distributions.TestSkewNorm) ... ok
test_rvs (test_distributions.TestSkewNorm) ... ok
test_correct_shapes (test_distributions.TestSubclassingExplicitShapes) ... ok
test_extra_kwarg (test_distributions.TestSubclassingExplicitShapes) ... ok
test_shapes_args (test_distributions.TestSubclassingExplicitShapes) ... ok
test_shapes_identifiers_1 (test_distributions.TestSubclassingExplicitShapes) ... ok
test_shapes_identifiers_2 (test_distributions.TestSubclassingExplicitShapes) ... ok
test_shapes_identifiers_3 (test_distributions.TestSubclassingExplicitShapes) ... ok
test_shapes_identifiers_nodefaults (test_distributions.TestSubclassingExplicitShapes) ... ok
test_shapes_keywords (test_distributions.TestSubclassingExplicitShapes) ... ok
test_shapes_kwargs (test_distributions.TestSubclassingExplicitShapes) ... ok
test_shapes_signature (test_distributions.TestSubclassingExplicitShapes) ... ok
test_shapes_signature_inconsistent (test_distributions.TestSubclassingExplicitShapes) ... ok
test_shapes_string (test_distributions.TestSubclassingExplicitShapes) ... ok
test_star_args (test_distributions.TestSubclassingExplicitShapes) ... ok
test_star_args_2 (test_distributions.TestSubclassingExplicitShapes) ... ok
test_wrong_shapes_1 (test_distributions.TestSubclassingExplicitShapes) ... ok
test_wrong_shapes_2 (test_distributions.TestSubclassingExplicitShapes) ... ok
test_defaults_raise (test_distributions.TestSubclassingNoShapes) ... ok
test_kwargs_raise (test_distributions.TestSubclassingNoShapes) ... ok
test_only__cdf (test_distributions.TestSubclassingNoShapes) ... ok
test_only__pdf (test_distributions.TestSubclassingNoShapes) ... ok
test_signature_inspection (test_distributions.TestSubclassingNoShapes) ... ok
test_signature_inspection_2args (test_distributions.TestSubclassingNoShapes) ... ok
test_signature_inspection_2args_incorrect_shapes (test_distributions.TestSubclassingNoShapes) ... ok
test_starargs_raise (test_distributions.TestSubclassingNoShapes) ... ok
test_cases (test_distributions.TestTrapz) ... ok
test_reduces_to_triang (test_distributions.TestTrapz) ... ok
test_reduces_to_uniform (test_distributions.TestTrapz) ... ok
test_trapz_vect (test_distributions.TestTrapz) ... ok
test_gh_1489_trac_962_rvs (test_distributions.TestTruncnorm) ... ok
test_gh_2477_large_values (test_distributions.TestTruncnorm) ... SKIP: truncnorm rvs is know to fail at extreme tails
test_gh_2477_small_values (test_distributions.TestTruncnorm) ... ok
test_isf_ticket1131 (test_distributions.TestTruncnorm) ... ok
test_ppf_ticket1131 (test_distributions.TestTruncnorm) ... ok
test_logpdf (test_distributions.TestWeibullMin) ... ok
test_moments (test_distributions.TestZipf) ... ok
test_rvs (test_distributions.TestZipf) ... ok
test_distributions.test_api_regression ... ok
test_distributions.test_all_distributions('uniform', (), 0.01) ... ok
test_distributions.test_all_distributions('norm', (), 0.01) ... ok
test_distributions.test_all_distributions('lognorm', (1.097401135971757,), 0.01) ... ok
test_distributions.test_all_distributions('expon', (), 0.01) ... ok
test_distributions.test_all_distributions('beta', (1.141938703400815, 1.5560526106030665), 0.01) ... ok
test_distributions.test_all_distributions('powerlaw', (1.7895807322255659,), 0.01) ... ok
test_distributions.test_all_distributions('bradford', (1.1794218360649857,), 0.01) ... ok
test_distributions.test_all_distributions('burr', (1.9328061344710274, 1.7954599621456309), 0.01) ... ok
test_distributions.test_all_distributions('fisk', (1.0178638928061976,), 0.01) ... ok
test_distributions.test_all_distributions('cauchy', (), 0.01) ... ok
test_distributions.test_all_distributions('halfcauchy', (), 0.01) ... ok
test_distributions.test_all_distributions('foldcauchy', (1.4563521756196018,), 0.01) ... ok
test_distributions.test_all_distributions('gamma', (1.082195211617027,), 0.01) ... ok
test_distributions.test_all_distributions('gengamma', (1.5509153859358076, 1.4031152765420569), 0.01) ... ok
test_distributions.test_all_distributions('loggamma', (1.2568911435338879,), 0.01) ... ok
test_distributions.test_all_distributions('alpha', (1.8539607051381757,), 0.01) ... ok
test_distributions.test_all_distributions('anglit', (), 0.01) ... ok
test_distributions.test_all_distributions('arcsine', (), 0.01) ... ok
test_distributions.test_all_distributions('betaprime', (1.107731207600577, 1.6696939946777665), 0.01) ... ok
test_distributions.test_all_distributions('dgamma', (1.8082196652185909,), 0.01) ... ok
test_distributions.test_all_distributions('exponnorm', (1.3156929176922407,), 0.01) ... ok
test_distributions.test_all_distributions('exponweib', (1.2274630896808612, 1.3813626750574031), 0.01) ... ok
test_distributions.test_all_distributions('exponpow', (1.5787227709468525,), 0.01) ... ok
test_distributions.test_all_distributions('frechet_l', (1.8345652107606103,), 0.01) ... ok
test_distributions.test_all_distributions('frechet_r', (1.7852985388265388,), 0.01) ... ok
test_distributions.test_all_distributions('gilbrat', (), 0.01) ... ok
test_distributions.test_all_distributions('f', (1.2053639776245419, 1.1584982770064105), 0.01) ... ok
test_distributions.test_all_distributions('ncf', (1.349579122117128, 1.3773582983512562, 1.4243366592357432), 0.01) ... ok
test_distributions.test_all_distributions('chi2', (1.2851528326193702,), 0.01) ... ok
test_distributions.test_all_distributions('chi', (1.1945555770072822,), 0.01) ... ok
test_distributions.test_all_distributions('nakagami', (1.2592468601376181,), 0.01) ... ok
test_distributions.test_all_distributions('genpareto', (1.7162720349646141,), 0.01) ... ok
test_distributions.test_all_distributions('genextreme', (1.5989985654194894,), 0.01) ... ok
test_distributions.test_all_distributions('genhalflogistic', (1.9191588413357294,), 0.01) ... ok
test_distributions.test_all_distributions('pareto', (1.9061908705722415,), 0.01) ... ok
test_distributions.test_all_distributions('lomax', (1.0630545887660616,), 0.01) ... ok
test_distributions.test_all_distributions('halfnorm', (), 0.01) ... ok
test_distributions.test_all_distributions('halflogistic', (), 0.01) ... ok
test_distributions.test_all_distributions('fatiguelife', (1.1110590538122114,), 0.001) ... ok
test_distributions.test_all_distributions('foldnorm', (1.3232504274988899,), 0.01) ... ok
test_distributions.test_all_distributions('ncx2', (1.0156420359683551, 1.2796748275132979), 0.01) ... ok
test_distributions.test_all_distributions('t', (1.2694650993990868,), 0.01) ... ok
test_distributions.test_all_distributions('nct', (1.5607039702096794, 1.7883647652661314), 0.01) ... ok
test_distributions.test_all_distributions('weibull_min', (1.3204130078968523,), 0.01) ... ok
test_distributions.test_all_distributions('weibull_max', (1.1281878943457029,), 0.01) ... ok
test_distributions.test_all_distributions('dweibull', (1.9100661621521167,), 0.01) ... ok
test_distributions.test_all_distributions('maxwell', (), 0.01) ... ok
test_distributions.test_all_distributions('rayleigh', (), 0.01) ... ok
test_distributions.test_all_distributions('genlogistic', (1.7223217366817654,), 0.01) ... ok
test_distributions.test_all_distributions('logistic', (), 0.01) ... ok
test_distributions.test_all_distributions('gumbel_l', (), 0.01) ... ok
test_distributions.test_all_distributions('gumbel_r', (), 0.01) ... ok
test_distributions.test_all_distributions('gompertz', (1.2815575520040197,), 0.01) ... ok
test_distributions.test_all_distributions('hypsecant', (), 0.01) ... ok
test_distributions.test_all_distributions('laplace', (), 0.01) ... ok
test_distributions.test_all_distributions('reciprocal', (0.51287508077243338, 1.5128750807724334), 0.01) ... ok
test_distributions.test_all_distributions('trapz', (0.461789732784883, 0.85897106896369813), 0.01) ... ok
test_distributions.test_all_distributions('triang', (0.44535599984853769,), 0.01) ... ok
test_distributions.test_all_distributions('tukeylambda', (1.7598751475382319,), 0.01) ... ok
test_distributions.test_all_distributions('vonmises', (10,), 0.01) ... ok
test_distributions.test_all_distributions('vonmises', (101,), 0.01) ... ok
test_distributions.test_all_distributions('vonmises', (1.6447865655987948,), 0.01) ... ok
test_distributions.test_all_distributions('vonmises_line', (1.9363625536344133,), 0.01) ... ok
test_distributions.test_all_distributions('pearson3', (1.6334640089292622,), 0.01) ... ok
test_distributions.test_all_distributions('gennorm', (1.5942026460340428,), 0.01) ... ok
test_distributions.test_all_distributions('halfgennorm', (1.6420832688659561,), 0.01) ... ok
test_distributions.test_all_distributions('rice', (1.5807675333231705,), 0.01) ... ok
test_distributions.test_all_distributions('kappa4', (1.6837300723319171, 1.7723508573565483), 0.01) ... ok
test_distributions.test_all_distributions('kappa3', (1.9209302560768415,), 0.01) ... ok
test_distributions.test_all_distributions('truncnorm', (0.38680773574703453, 1.3868077357470345), 0.01) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 0, 1, 0) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 1, 1, 0) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 0, 10, 0) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 0, 1, 0) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 1, 1, 0) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 0, 10, 0) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 0, 1, 1) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 1, 1, 1) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 0, 10, 1) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 0, 1, 1) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 1, 1, 1) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 0, 10, 1) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 0, 1, 3.141592653589793) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 1, 1, 3.141592653589793) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 0, 10, 3.141592653589793) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 0, 1, 3.141592653589793) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 1, 1, 3.141592653589793) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 0, 10, 3.141592653589793) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 0, 1, 10) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 1, 1, 10) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 0, 10, 10) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 0, 1, 10) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 1, 1, 10) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 0, 10, 10) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 0, 1, 100) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 1, 1, 100) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 0, 10, 100) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 0, 1, 100) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 1, 1, 100) ... ok
test_distributions.test_vonmises_pdf_periodic(0.1, 0, 10, 100) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 0, 1, 0) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 1, 1, 0) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 0, 10, 0) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 0, 1, 0) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 1, 1, 0) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 0, 10, 0) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 0, 1, 1) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 1, 1, 1) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 0, 10, 1) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 0, 1, 1) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 1, 1, 1) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 0, 10, 1) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 0, 1, 3.141592653589793) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 1, 1, 3.141592653589793) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 0, 10, 3.141592653589793) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 0, 1, 3.141592653589793) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 1, 1, 3.141592653589793) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 0, 10, 3.141592653589793) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 0, 1, 10) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 1, 1, 10) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 0, 10, 10) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 0, 1, 10) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 1, 1, 10) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 0, 10, 10) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 0, 1, 100) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 1, 1, 100) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 0, 10, 100) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 0, 1, 100) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 1, 1, 100) ... ok
test_distributions.test_vonmises_pdf_periodic(1, 0, 10, 100) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 0, 1, 0) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 1, 1, 0) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 0, 10, 0) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 0, 1, 0) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 1, 1, 0) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 0, 10, 0) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 0, 1, 1) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 1, 1, 1) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 0, 10, 1) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 0, 1, 1) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 1, 1, 1) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 0, 10, 1) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 0, 1, 3.141592653589793) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 1, 1, 3.141592653589793) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 0, 10, 3.141592653589793) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 0, 1, 3.141592653589793) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 1, 1, 3.141592653589793) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 0, 10, 3.141592653589793) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 0, 1, 10) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 1, 1, 10) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 0, 10, 10) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 0, 1, 10) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 1, 1, 10) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 0, 10, 10) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 0, 1, 100) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 1, 1, 100) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 0, 10, 100) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 0, 1, 100) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 1, 1, 100) ... ok
test_distributions.test_vonmises_pdf_periodic(101, 0, 10, 100) ... ok
test_distributions.test_vonmises_line_support ... ok
test_distributions.test_vonmises_numerical ... ok
gh-6235 ... ok
gh-6235 ... ok
gh-6235 ... ok
gh-6235 ... ok
gh-6235 ... ok
gh-6235 ... ok
gh-6235 ... ok
gh-6235 ... ok
gh-6235 ... ok
gh-6235 ... ok
gh-6235 ... ok
gh-6235 ... ok
gh-6235 ... ok
gh-6235 ... ok
gh-6235 ... ok
gh-6235 ... ok
gh-6235 ... ok
test_distributions.test_rvgeneric_std ... ok
test_distributions.TestArgsreduce ... ok
test_distributions.test_540_567 ... ok
test_distributions.test_regression_ticket_1316 ... ok
test_distributions.test_regression_ticket_1326 ... ok
test_distributions.test_regression_tukey_lambda ... ok
test_distributions.test_regression_ticket_1421 ... ok
test_distributions.test_nan_arguments_gh_issue_1362 ... ok
test_distributions.test_frozen_fit_ticket_1536 ... ok
test_distributions.test_regression_ticket_1530 ... ok
test_distributions.test_gh_pr_4806 ... ok
test_distributions.test_tukeylambda_stats_ticket_1545 ... ok
test_distributions.test_poisson_logpmf_ticket_1436 ... ok
Test the powerlaw stats function. ... ok
test_distributions.test_powerlaw_edge ... ok
test_distributions.test_exponpow_edge ... ok
test_distributions.test_gengamma_edge ... ok
test_distributions.test_ksone_fit_freeze ... ok
test_distributions.test_norm_logcdf ... ok
test_distributions.test_levy_cdf_ppf ... ok
test_distributions.test_hypergeom_interval_1802 ... ok
test_distributions.test_distribution_too_many_args ... ok
test_distributions.test_ncx2_tails_ticket_955 ... ok
test_distributions.test_ncx2_tails_pdf ... ok
test_distributions.test_foldnorm_zero ... ok
test_distributions.test_stats_shapes_argcheck ... ok
test_distributions.test_docstrings ... ok
test_distributions.test_infinite_input ... ok
test_distributions.test_lomax_accuracy ... ok
test_distributions.test_gompertz_accuracy ... ok
test_distributions.test_truncexpon_accuracy ... ok
test_distributions.test_rayleigh_accuracy ... ok
test_distributions.test_genextreme_entropy ... ok
test_distributions.test_genextreme_sf_isf ... ok
test_fit.test_cont_fit('alpha', (3.570477051665046,)) ... ok
test_fit.test_cont_fit('anglit', ()) ... ok
test_fit.test_cont_fit('arcsine', ()) ... ok
test_fit.test_cont_fit('beta', (2.3098496451481823, 0.6268795430096368)) ... ok
test_fit.test_cont_fit('betaprime', (5, 6)) ... ok
test_fit.test_cont_fit('bradford', (0.29891359763170633,)) ... ok
test_fit.test_cont_fit('burr', (10.5, 4.3)) ... KNOWNFAIL: Fitting burr doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_cont_fit('burr12', (10, 4)) ... ok
test_fit.test_cont_fit('cauchy', ()) ... ok
test_fit.test_cont_fit('chi', (78,)) ... ok
test_fit.test_cont_fit('chi2', (55,)) ... KNOWNFAIL: Fitting chi2 doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_cont_fit('cosine', ()) ... ok
test_fit.test_cont_fit('dgamma', (1.1023326088288166,)) ... ok
test_fit.test_cont_fit('dweibull', (2.0685080649914673,)) ... ok
test_fit.test_cont_fit('expon', ()) ... ok
test_fit.test_cont_fit('exponnorm', (1.5,)) ... ok
test_fit.test_cont_fit('exponpow', (2.697119160358469,)) ... ok
test_fit.test_cont_fit('exponweib', (2.8923945291034436, 1.9505288745913174)) ... ok
test_fit.test_cont_fit('f', (29, 18)) ... ok
test_fit.test_cont_fit('fatiguelife', (29,)) ... ok
test_fit.test_cont_fit('fisk', (3.085754862225318,)) ... ok
test_fit.test_cont_fit('foldcauchy', (4.716467345583189,)) ... ok
test_fit.test_cont_fit('foldnorm', (1.952125337355587,)) ... ok
test_fit.test_cont_fit('frechet_l', (3.627991125558324,)) ... ok
test_fit.test_cont_fit('frechet_r', (1.8928171603534227,)) ... ok
test_fit.test_cont_fit('gamma', (1.9932305483800778,)) ... ok
test_fit.test_cont_fit('gausshyper', (13.7637716041307, 3.118963664868143, 2.514598035018302, 5.1811649903971615)) ... KNOWNFAIL: Fitting gausshyper doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_cont_fit('genexpon', (9.13259764654189, 16.23195660059063, 3.2819552690843983)) ... KNOWNFAIL: Fitting genexpon doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_cont_fit('genextreme', (-0.1,)) ... ok
test_fit.test_cont_fit('gengamma', (4.4162385429431925, 3.119309167924276)) ... KNOWNFAIL: Fitting gengamma doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_cont_fit('gengamma', (4.4162385429431925, -3.119309167924276)) ... KNOWNFAIL: Fitting gengamma doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_cont_fit('genhalflogistic', (0.7727472780992932,)) ... ok
test_fit.test_cont_fit('genlogistic', (0.41192440799679475,)) ... ok
test_fit.test_cont_fit('gennorm', (1.2988442399460265,)) ... ok
test_fit.test_cont_fit('halfgennorm', (0.6748054997000371,)) ... ok
test_fit.test_cont_fit('genpareto', (0.1,)) ... ok
test_fit.test_cont_fit('gilbrat', ()) ... ok
test_fit.test_cont_fit('gompertz', (0.9474371307510525,)) ... ok
test_fit.test_cont_fit('gumbel_l', ()) ... ok
test_fit.test_cont_fit('gumbel_r', ()) ... ok
test_fit.test_cont_fit('halfcauchy', ()) ... ok
test_fit.test_cont_fit('halflogistic', ()) ... ok
test_fit.test_cont_fit('halfnorm', ()) ... ok
test_fit.test_cont_fit('hypsecant', ()) ... ok
test_fit.test_cont_fit('invgamma', (4.066899613699307,)) ... ok
test_fit.test_cont_fit('invgauss', (0.14546264555347513,)) ... ok
test_fit.test_cont_fit('invweibull', (10.58,)) ... ok
test_fit.test_cont_fit('johnsonsb', (4.317267509914106, 3.1837781130785063)) ... ok
test_fit.test_cont_fit('johnsonsu', (2.554395574161155, 2.2482281679651965)) ... ok
test_fit.test_cont_fit('kappa4', (0.0, 0.0)) ... KNOWNFAIL: Fitting kappa4 doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_cont_fit('kappa4', (-0.1, 0.1)) ... KNOWNFAIL: Fitting kappa4 doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_cont_fit('kappa4', (0.0, 0.1)) ... KNOWNFAIL: Fitting kappa4 doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_cont_fit('kappa4', (0.1, 0.0)) ... KNOWNFAIL: Fitting kappa4 doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_cont_fit('kappa3', (1.0,)) ... ok
test_fit.test_cont_fit('ksone', (1000,)) ... KNOWNFAIL: Fitting ksone doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_cont_fit('kstwobign', ()) ... ok
test_fit.test_cont_fit('laplace', ()) ... ok
test_fit.test_cont_fit('levy', ()) ... ok
test_fit.test_cont_fit('levy_l', ()) ... ok
test_fit.test_cont_fit('levy_stable', (0.3566740546984499, -0.6745053157849401)) ... KNOWNFAIL: Fitting levy_stable doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_cont_fit('loggamma', (0.4141193182605212,)) ... ok
test_fit.test_cont_fit('logistic', ()) ... ok
test_fit.test_cont_fit('loglaplace', (3.2505926592051435,)) ... ok
test_fit.test_cont_fit('lognorm', (0.9536822696057533,)) ... ok
test_fit.test_cont_fit('lomax', (1.8771398388773268,)) ... ok
test_fit.test_cont_fit('maxwell', ()) ... ok
test_fit.test_cont_fit('mielke', (10.4, 3.6)) ... KNOWNFAIL: Fitting mielke doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_cont_fit('nakagami', (4.967379486666624,)) ... ok
test_fit.test_cont_fit('ncf', (27, 27, 0.41578441799226107)) ... KNOWNFAIL: Fitting ncf doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_cont_fit('nct', (14, 0.24045031331198066)) ... ok
test_fit.test_cont_fit('ncx2', (21, 1.0560465975116415)) ... KNOWNFAIL: Fitting ncx2 doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_cont_fit('norm', ()) ... ok
test_fit.test_cont_fit('pareto', (2.621716532144454,)) ... ok
test_fit.test_cont_fit('pearson3', (0.1,)) ... KNOWNFAIL: Fitting pearson3 doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_cont_fit('powerlaw', (1.659113328990585,)) ... ok
test_fit.test_cont_fit('powerlognorm', (2.1413923530064087, 0.44639540782048337)) ... KNOWNFAIL: Fitting powerlognorm doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_cont_fit('powernorm', (4.445365225459078,)) ... ok
test_fit.test_cont_fit('rayleigh', ()) ... ok
test_fit.test_cont_fit('rdist', (0.9,)) ... ok
test_fit.test_cont_fit('recipinvgauss', (0.6300426780936912,)) ... ok
test_fit.test_cont_fit('reciprocal', (0.0062309367010521255, 1.0062309367010522)) ... ok
test_fit.test_cont_fit('rice', (0.7749725210111873,)) ... ok
test_fit.test_cont_fit('semicircular', ()) ... ok
test_fit.test_cont_fit('skewnorm', (4.0,)) ... ok
test_fit.test_cont_fit('t', (2.7433514990818093,)) ... ok
test_fit.test_cont_fit('trapz', (0.2, 0.8)) ... KNOWNFAIL: Fitting trapz doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_cont_fit('triang', (0.15785029824528218,)) ... ok
test_fit.test_cont_fit('truncexpon', (4.690772545681048,)) ... KNOWNFAIL: Fitting truncexpon doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_cont_fit('truncnorm', (-1.0978730080013919, 2.730675410903198)) ... ok
test_fit.test_cont_fit('truncnorm', (0.1, 2.0)) ... ok
test_fit.test_cont_fit('tukeylambda', (3.1321477856738267,)) ... KNOWNFAIL: Fitting tukeylambda doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_cont_fit('uniform', ()) ... ok
test_fit.test_cont_fit('vonmises', (3.99390425810714,)) ... KNOWNFAIL: Fitting vonmises doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_cont_fit('vonmises_line', (3.99390425810714,)) ... ok
test_fit.test_cont_fit('wald', ()) ... ok
test_fit.test_cont_fit('weibull_max', (2.8687961709100187,)) ... ok
test_fit.test_cont_fit('weibull_min', (1.7866166930421596,)) ... ok
test_fit.test_cont_fit('wrapcauchy', (0.031071279018614728,)) ... KNOWNFAIL: Fitting wrapcauchy doesn't work reliably yet [Set environment variable SCIPY_XFAIL=1 to run this test nevertheless.]
test_fit.test_non_default_loc_scale_mle_fit('uniform', array([ 1.01,  1.78,  1.78,  1.78,  1.88,  1.88,  1.88,  2.  ]), [1.01, 0.99], 0.001) ... ok
test_fit.test_non_default_loc_scale_mle_fit('expon', array([ 1.01,  1.78,  1.78,  1.78,  1.88,  1.88,  1.88,  2.  ]), [1.01, 0.73875], 0.001) ... ok
gh-6167 ... ok
test_kdeoth.test_kde_1d ... ok
test_kdeoth.test_kde_2d ... ok
test_kdeoth.test_kde_bandwidth_method ... ok
test_kdeoth.test_gaussian_kde_subclassing ... ok
test_kdeoth.test_gaussian_kde_covariance_caching ... ok
Ugly, but people may rely on this.  See scipy pull request 123, ... ok
Regression test for #1181. ... ok
test_kdeoth.test_pdf_logpdf ... ok
test_bad_arg (test_morestats.TestAnderson) ... ok
test_expon (test_morestats.TestAnderson) ... ok
test_normal (test_morestats.TestAnderson) ... ok
test_result_attributes (test_morestats.TestAnderson) ... ok
test_empty_sample (test_morestats.TestAndersonKSamp) ... ok
test_example1a (test_morestats.TestAndersonKSamp) ... ok
test_example1b (test_morestats.TestAndersonKSamp) ... ok
test_example2a (test_morestats.TestAndersonKSamp) ... ok
test_example2b (test_morestats.TestAndersonKSamp) ... ok
test_no_distinct_observations (test_morestats.TestAndersonKSamp) ... ok
test_not_enough_samples (test_morestats.TestAndersonKSamp) ... ok
test_result_attributes (test_morestats.TestAndersonKSamp) ... ok
test_approx (test_morestats.TestAnsari) ... ok
test_bad_arg (test_morestats.TestAnsari) ... ok
test_exact (test_morestats.TestAnsari) ... ok
test_result_attributes (test_morestats.TestAnsari) ... ok
test_small (test_morestats.TestAnsari) ... ok
test_bad_arg (test_morestats.TestBartlett) ... ok
test_data (test_morestats.TestBartlett) ... ok
test_empty_arg (test_morestats.TestBartlett) ... ok
test_result_attributes (test_morestats.TestBartlett) ... ok
test_basic (test_morestats.TestBayes_mvs) ... ok
test_empty_input (test_morestats.TestBayes_mvs) ... ok
test_result_attributes (test_morestats.TestBayes_mvs) ... ok
test_alternatives (test_morestats.TestBinomP) ... ok
test_bad_len_x (test_morestats.TestBinomP) ... ok
test_bad_n (test_morestats.TestBinomP) ... ok
test_bad_p (test_morestats.TestBinomP) ... ok
test_data (test_morestats.TestBinomP) ... ok
test_alpha (test_morestats.TestBoxcox) ... ok
test_boxcox_bad_arg (test_morestats.TestBoxcox) ... ok
test_empty (test_morestats.TestBoxcox) ... ok
test_fixed_lmbda (test_morestats.TestBoxcox) ... ok
test_lmbda_None (test_morestats.TestBoxcox) ... ok
test_all (test_morestats.TestBoxcoxNormmax) ... ok
test_mle (test_morestats.TestBoxcoxNormmax) ... ok
test_pearsonr (test_morestats.TestBoxcoxNormmax) ... ok
test_basic (test_morestats.TestBoxcoxNormplot) ... ok
test_empty (test_morestats.TestBoxcoxNormplot) ... ok
test_invalid_inputs (test_morestats.TestBoxcoxNormplot) ... ok
test_plot_kwarg (test_morestats.TestBoxcoxNormplot) ... SKIP: Skipping test: test_plot_kwarg: Test skipped due to test condition
test_2d_input (test_morestats.TestBoxcox_llf) ... ok
test_array_like (test_morestats.TestBoxcox_llf) ... ok
test_basic (test_morestats.TestBoxcox_llf) ... ok
test_empty (test_morestats.TestBoxcox_llf) ... ok
test_circfuncs (test_morestats.TestCircFuncs) ... ok
test_circfuncs_array_like (test_morestats.TestCircFuncs) ... ok
test_circfuncs_small (test_morestats.TestCircFuncs) ... ok
test_circmean_axis (test_morestats.TestCircFuncs) ... ok
test_circstd_axis (test_morestats.TestCircFuncs) ... ok
test_circvar_axis (test_morestats.TestCircFuncs) ... ok
test_empty (test_morestats.TestCircFuncs) ... ok
test_bad_center_value (test_morestats.TestFligner) ... ok
test_bad_keyword (test_morestats.TestFligner) ... ok
test_bad_num_args (test_morestats.TestFligner) ... ok
test_data (test_morestats.TestFligner) ... ok
test_empty_arg (test_morestats.TestFligner) ... ok
test_trimmed1 (test_morestats.TestFligner) ... ok
test_trimmed2 (test_morestats.TestFligner) ... ok
test_empty_input (test_morestats.TestKstat) ... ok
test_kstat_bad_arg (test_morestats.TestKstat) ... ok
test_moments_normal_distribution (test_morestats.TestKstat) ... ok
test_nan_input (test_morestats.TestKstat) ... ok
test_bad_arg (test_morestats.TestKstatVar) ... ok
test_empty_input (test_morestats.TestKstatVar) ... ok
test_nan_input (test_morestats.TestKstatVar) ... ok
test_bad_center_value (test_morestats.TestLevene) ... ok
test_bad_keyword (test_morestats.TestLevene) ... ok
test_data (test_morestats.TestLevene) ... ok
test_equal_mean_median (test_morestats.TestLevene) ... ok
test_result_attributes (test_morestats.TestLevene) ... ok
test_too_few_args (test_morestats.TestLevene) ... ok
test_trimmed1 (test_morestats.TestLevene) ... ok
test_trimmed2 (test_morestats.TestLevene) ... ok
test_bad_keyword (test_morestats.TestMedianTest) ... ok
test_bad_n_samples (test_morestats.TestMedianTest) ... ok
test_bad_ties (test_morestats.TestMedianTest) ... ok
test_basic (test_morestats.TestMedianTest) ... ok
test_empty_contingency_row (test_morestats.TestMedianTest) ... ok
test_empty_sample (test_morestats.TestMedianTest) ... ok
test_empty_when_ties_ignored (test_morestats.TestMedianTest) ... ok
test_simple (test_morestats.TestMedianTest) ... ok
test_ties_options (test_morestats.TestMedianTest) ... ok
test_mood (test_morestats.TestMood) ... ok
test_mood_2d (test_morestats.TestMood) ... ok
test_mood_3d (test_morestats.TestMood) ... ok
test_mood_bad_arg (test_morestats.TestMood) ... ok
test_mood_order_of_args (test_morestats.TestMood) ... ok
test_mood_with_axis_none (test_morestats.TestMood) ... ok
test_bad_arg (test_morestats.TestMvsdist) ... ok
test_basic (test_morestats.TestMvsdist) ... ok
test_empty_input (test_morestats.TestMvsdist) ... ok
test_warns (test_morestats.TestMvsdist) ... ok
test_brack (test_morestats.TestPpccMax) ... ok
test_dist (test_morestats.TestPpccMax) ... ok
test_ppcc_max_bad_arg (test_morestats.TestPpccMax) ... ok
test_ppcc_max_basic (test_morestats.TestPpccMax) ... ok
test_basic (test_morestats.TestPpccPlot) ... ok
test_dist (test_morestats.TestPpccPlot) ... ok
test_empty (test_morestats.TestPpccPlot) ... ok
test_invalid_inputs (test_morestats.TestPpccPlot) ... ok
test_plot_kwarg (test_morestats.TestPpccPlot) ... SKIP: Skipping test: test_plot_kwarg: Test skipped due to test condition
test_array_of_size_one (test_morestats.TestProbplot) ... ok
test_basic (test_morestats.TestProbplot) ... ok
test_dist_keyword (test_morestats.TestProbplot) ... ok
test_empty (test_morestats.TestProbplot) ... ok
test_plot_kwarg (test_morestats.TestProbplot) ... SKIP: Skipping test: test_plot_kwarg: Test skipped due to test condition
test_probplot_bad_args (test_morestats.TestProbplot) ... ok
test_sparams_keyword (test_morestats.TestProbplot) ... ok
test_2d (test_morestats.TestShapiro) ... ok
test_bad_arg (test_morestats.TestShapiro) ... ok
test_basic (test_morestats.TestShapiro) ... ok
test_empty_input (test_morestats.TestShapiro) ... ok
test_nan_input (test_morestats.TestShapiro) ... ok
test_not_enough_values (test_morestats.TestShapiro) ... ok
test_morestats.test_wilcoxon_bad_arg ... ok
test_morestats.test_wilcoxon_arg_type ... ok
test_morestats.test_accuracy_wilcoxon ... ok
test_morestats.test_wilcoxon_result_attributes ... ok
test_morestats.test_wilcoxon_tie ... ok
test_betai (test_mstats_basic.TestCompareWithStats) ... ok
test_describe (test_mstats_basic.TestCompareWithStats) ... ok
test_describe_result_attributes (test_mstats_basic.TestCompareWithStats) ... ok
test_find_repeats (test_mstats_basic.TestCompareWithStats) ... ok
test_gmean (test_mstats_basic.TestCompareWithStats) ... ok
test_hmean (test_mstats_basic.TestCompareWithStats) ... ok
test_kendalltau (test_mstats_basic.TestCompareWithStats) ... ok
test_kurtosis (test_mstats_basic.TestCompareWithStats) ... ok
test_linregress (test_mstats_basic.TestCompareWithStats) ... ok
test_moment (test_mstats_basic.TestCompareWithStats) ... ok
test_normaltest (test_mstats_basic.TestCompareWithStats) ... ok
test_obrientransform (test_mstats_basic.TestCompareWithStats) ... ok
test_pearsonr (test_mstats_basic.TestCompareWithStats) ... ok
test_rankdata (test_mstats_basic.TestCompareWithStats) ... ok
test_sem (test_mstats_basic.TestCompareWithStats) ... ok
test_signaltonoise (test_mstats_basic.TestCompareWithStats) ... ok
test_skew (test_mstats_basic.TestCompareWithStats) ... ok
test_skewtest (test_mstats_basic.TestCompareWithStats) ... ok
test_skewtest_2D_WithMask (test_mstats_basic.TestCompareWithStats) ... ok
test_skewtest_2D_notmasked (test_mstats_basic.TestCompareWithStats) ... ok
test_skewtest_result_attributes (test_mstats_basic.TestCompareWithStats) ... ok
test_spearmanr (test_mstats_basic.TestCompareWithStats) ... ok
test_tmax (test_mstats_basic.TestCompareWithStats) ... ok
test_tmean (test_mstats_basic.TestCompareWithStats) ... ok
test_tmin (test_mstats_basic.TestCompareWithStats) ... ok
test_trimboth (test_mstats_basic.TestCompareWithStats) ... ok
test_tsem (test_mstats_basic.TestCompareWithStats) ... ok
test_tvar (test_mstats_basic.TestCompareWithStats) ... ok
test_variation (test_mstats_basic.TestCompareWithStats) ... ok
test_zmap (test_mstats_basic.TestCompareWithStats) ... ok
test_zscore (test_mstats_basic.TestCompareWithStats) ... ok
test_kendalltau (test_mstats_basic.TestCorr) ... ok
test_kendalltau_seasonal (test_mstats_basic.TestCorr) ... ok
test_pearsonr (test_mstats_basic.TestCorr) ... ok
test_pointbiserial (test_mstats_basic.TestCorr) ... ok
test_spearmanr (test_mstats_basic.TestCorr) ... ok
test_mstats_basic.TestFOneway.test_result_attributes ... ok
test_1D (test_mstats_basic.TestGMean) ... ok
test_1D_float96 (test_mstats_basic.TestGMean) ... SKIP: Skipping test: test_1D_float96: cannot find float96 so skipping
test_2D (test_mstats_basic.TestGMean) ... ok
test_1D (test_mstats_basic.TestHMean) ... ok
test_1D_float96 (test_mstats_basic.TestHMean) ... SKIP: Skipping test: test_1D_float96: cannot find float96 so skipping
test_2D (test_mstats_basic.TestHMean) ... ok
test_mstats_basic.TestKruskal.test_result_attributes ... ok
test_mstats_basic.TestMannwhitneyu.test_result_attributes ... ok
test_friedmanchisq (test_mstats_basic.TestMisc) ... ok
test_kstwosamp (test_mstats_basic.TestMisc) ... ok
test_obrientransform (test_mstats_basic.TestMisc) ... ok
test_kurtosis (test_mstats_basic.TestMoments) ... ok
test_mode (test_mstats_basic.TestMoments) ... ok
test_moment (test_mstats_basic.TestMoments) ... ok
test_skewness (test_mstats_basic.TestMoments) ... ok
test_variation (test_mstats_basic.TestMoments) ... ok
test_mquantiles_limit_keyword (test_mstats_basic.TestMquantiles) ... ok
test_mstats_basic.TestNormalitytests.test_axis_None ... ok
test_mstats_basic.TestNormalitytests.test_kurtosistest_result_attributes ... ok
test_mstats_basic.TestNormalitytests.test_maskedarray_input ... ok
test_mstats_basic.TestNormalitytests.test_nd_input ... ok
test_mstats_basic.TestNormalitytests.test_normaltest_result_attributes ... ok
test_mstats_basic.TestNormalitytests.test_vs_nonmasked ... ok
test_2D (test_mstats_basic.TestPercentile) ... ok
test_percentile (test_mstats_basic.TestPercentile) ... ok
test_ranking (test_mstats_basic.TestRanking) ... ok
test_trim (test_mstats_basic.TestTrimming) ... ok
test_trim_old (test_mstats_basic.TestTrimming) ... ok
test_trimmed_stde (test_mstats_basic.TestTrimming) ... ok
test_trimmedmean (test_mstats_basic.TestTrimming) ... ok
test_winsorization (test_mstats_basic.TestTrimming) ... ok
test_mstats_basic.TestTtest_1samp.test_empty ... ok
test_mstats_basic.TestTtest_1samp.test_fully_masked ... ok
test_mstats_basic.TestTtest_1samp.test_result_attributes ... ok
test_mstats_basic.TestTtest_1samp.test_vs_nonmasked ... ok
test_mstats_basic.TestTtest_1samp.test_zero_division ... ok
test_mstats_basic.TestTtest_ind.test_empty ... ok
test_mstats_basic.TestTtest_ind.test_fully_masked ... ok
test_mstats_basic.TestTtest_ind.test_result_attributes ... ok
test_mstats_basic.TestTtest_ind.test_vs_nonmasked ... ok
test_mstats_basic.TestTtest_ind.test_zero_division ... ok
test_mstats_basic.TestTtest_rel.test_empty ... ok
test_mstats_basic.TestTtest_rel.test_fully_masked ... ok
test_mstats_basic.TestTtest_rel.test_invalid_input_size ... ok
test_mstats_basic.TestTtest_rel.test_result_attributes ... ok
test_mstats_basic.TestTtest_rel.test_vs_nonmasked ... ok
test_mstats_basic.TestTtest_rel.test_zero_division ... ok
test_sem (test_mstats_basic.TestVariability) ... ok
test_signaltonoise (test_mstats_basic.TestVariability) ... ok
test_zmap (test_mstats_basic.TestVariability) ... ok
test_zscore (test_mstats_basic.TestVariability) ... ok
test_mstats_basic.test_regress_simple ... ok
test_mstats_basic.test_theilslopes ... ok
test_mstats_basic.test_plotting_positions ... ok
Tests ideal-fourths ... ok
Tests the Marits-Jarrett estimator ... ok
Tests the confidence intervals of the trimmed mean. ... ok
test_hdquantiles (test_mstats_extras.TestQuantiles) ... ok
test_2D_dirichlet_is_beta (test_multivariate.TestDirichlet) ... ok
test_K_and_K_minus_1_calls_equal (test_multivariate.TestDirichlet) ... ok
test_alpha_correct_depth (test_multivariate.TestDirichlet) ... ok
test_alpha_too_deep (test_multivariate.TestDirichlet) ... ok
test_alpha_with_negative_entries (test_multivariate.TestDirichlet) ... ok
test_alpha_with_zeros (test_multivariate.TestDirichlet) ... ok
test_data_too_deep_c (test_multivariate.TestDirichlet) ... ok
test_data_vector_too_long (test_multivariate.TestDirichlet) ... ok
test_data_vector_too_short (test_multivariate.TestDirichlet) ... ok
test_data_with_negative_entries (test_multivariate.TestDirichlet) ... ok
test_data_with_too_large_entries (test_multivariate.TestDirichlet) ... ok
test_data_with_zeros (test_multivariate.TestDirichlet) ... ok
test_frozen_dirichlet (test_multivariate.TestDirichlet) ... ok
test_multiple_entry_calls (test_multivariate.TestDirichlet) ... ok
test_non_simplex_data (test_multivariate.TestDirichlet) ... ok
test_numpy_rvs_shape_compatibility (test_multivariate.TestDirichlet) ... ok
test_simple_values (test_multivariate.TestDirichlet) ... ok
test_1D_is_invgamma (test_multivariate.TestInvwishart) ... ok
test_frozen (test_multivariate.TestInvwishart) ... ok
test_wishart_invwishart_2D_rvs (test_multivariate.TestInvwishart) ... ok
test_array_input (test_multivariate.TestMatrixNormal) ... ok
test_bad_input (test_multivariate.TestMatrixNormal) ... ok
test_covariance_expansion (test_multivariate.TestMatrixNormal) ... ok
test_default_inputs (test_multivariate.TestMatrixNormal) ... ok
test_frozen_matrix_normal (test_multivariate.TestMatrixNormal) ... ok
test_matches_multivariate (test_multivariate.TestMatrixNormal) ... ok
test_moments (test_multivariate.TestMatrixNormal) ... ok
test_R_values (test_multivariate.TestMultivariateNormal) ... ok
test_broadcasting (test_multivariate.TestMultivariateNormal) ... ok
test_degenerate_distributions (test_multivariate.TestMultivariateNormal) ... ok
test_entropy (test_multivariate.TestMultivariateNormal) ... ok
test_exception_non_psd_cov (test_multivariate.TestMultivariateNormal) ... ok
test_exception_nonfinite_cov (test_multivariate.TestMultivariateNormal) ... ok
test_exception_nonsquare_cov (test_multivariate.TestMultivariateNormal) ... ok
test_exception_singular_cov (test_multivariate.TestMultivariateNormal) ... ok
test_frozen (test_multivariate.TestMultivariateNormal) ... ok
test_input_shape (test_multivariate.TestMultivariateNormal) ... ok
test_large_pseudo_determinant (test_multivariate.TestMultivariateNormal) ... ok
test_large_sample (test_multivariate.TestMultivariateNormal) ... ok
test_lnB (test_multivariate.TestMultivariateNormal) ... ok
test_logpdf (test_multivariate.TestMultivariateNormal) ... ok
test_logpdf_default_values (test_multivariate.TestMultivariateNormal) ... ok
test_marginalization (test_multivariate.TestMultivariateNormal) ... ok
test_multivariate_normal_rvs_zero_covariance (test_multivariate.TestMultivariateNormal) ... ok
test_normal_1D (test_multivariate.TestMultivariateNormal) ... ok
test_pseudodet_pinv (test_multivariate.TestMultivariateNormal) ... ok
test_rank (test_multivariate.TestMultivariateNormal) ... ok
test_rvs_shape (test_multivariate.TestMultivariateNormal) ... ok
test_scalar_values (test_multivariate.TestMultivariateNormal) ... ok
test_det_and_ortho (test_multivariate.TestOrthoGroup) ... ok
test_haar (test_multivariate.TestOrthoGroup) ... ok
test_invalid_dim (test_multivariate.TestOrthoGroup) ... ok
test_reproducibility (test_multivariate.TestOrthoGroup) ... ok
test_definition (test_multivariate.TestRandomCorrelation) ... ok
test_invalid_eigs (test_multivariate.TestRandomCorrelation) ... ok
test_reproducibility (test_multivariate.TestRandomCorrelation) ... ok
test_to_corr (test_multivariate.TestRandomCorrelation) ... ok
test_det_and_ortho (test_multivariate.TestSpecialOrthoGroup) ... ok
test_frozen_matrix (test_multivariate.TestSpecialOrthoGroup) ... ok
test_haar (test_multivariate.TestSpecialOrthoGroup) ... ok
test_invalid_dim (test_multivariate.TestSpecialOrthoGroup) ... ok
test_reproducibility (test_multivariate.TestSpecialOrthoGroup) ... ok
test_1D_is_chisquared (test_multivariate.TestWishart) ... ok
test_frozen (test_multivariate.TestWishart) ... ok
test_is_scaled_chisquared (test_multivariate.TestWishart) ... ok
test_quantile_dimensions (test_multivariate.TestWishart) ... ok
test_scale_dimensions (test_multivariate.TestWishart) ... ok
test_multivariate.test_multivariate_normal_dimensions_mismatch ... ok
test_multivariate.test_random_state_property ... ok
Basic tests of stats.rankdata. ... ok
test_big_tie (test_rank.TestRankData) ... ok
stats.rankdata([]) should return an empty array. ... ok
test_large_int (test_rank.TestRankData) ... ok
Check stats.rankdata with an array of length 1. ... ok
test_rankdata_object_string (test_rank.TestRankData) ... ok
Check a few basic examples of the tie correction factor. ... ok
An empty array requires no correction, should return 1.0. ... ok
Arrays with no ties require no correction. ... ok
A single element requires no correction, should return 1.0. ... ok
test_overflow (test_rank.TestTieCorrect) ... ok
test_rank.test_cases([], 'average', []) ... ok
test_rank.test_cases([], 'min', []) ... ok
test_rank.test_cases([], 'max', []) ... ok
test_rank.test_cases([], 'dense', []) ... ok
test_rank.test_cases([], 'ordinal', []) ... ok
test_rank.test_cases([100], 'average', [1.0]) ... ok
test_rank.test_cases([100], 'min', [1.0]) ... ok
test_rank.test_cases([100], 'max', [1.0]) ... ok
test_rank.test_cases([100], 'dense', [1.0]) ... ok
test_rank.test_cases([100], 'ordinal', [1.0]) ... ok
test_rank.test_cases([100, 100, 100], 'average', [2.0, 2.0, 2.0]) ... ok
test_rank.test_cases([100, 100, 100], 'min', [1.0, 1.0, 1.0]) ... ok
test_rank.test_cases([100, 100, 100], 'max', [3.0, 3.0, 3.0]) ... ok
test_rank.test_cases([100, 100, 100], 'dense', [1.0, 1.0, 1.0]) ... ok
test_rank.test_cases([100, 100, 100], 'ordinal', [1.0, 2.0, 3.0]) ... ok
test_rank.test_cases([100, 300, 200], 'average', [1.0, 3.0, 2.0]) ... ok
test_rank.test_cases([100, 300, 200], 'min', [1.0, 3.0, 2.0]) ... ok
test_rank.test_cases([100, 300, 200], 'max', [1.0, 3.0, 2.0]) ... ok
test_rank.test_cases([100, 300, 200], 'dense', [1.0, 3.0, 2.0]) ... ok
test_rank.test_cases([100, 300, 200], 'ordinal', [1.0, 3.0, 2.0]) ... ok
test_rank.test_cases([100, 200, 300, 200], 'average', [1.0, 2.5, 4.0, 2.5]) ... ok
test_rank.test_cases([100, 200, 300, 200], 'min', [1.0, 2.0, 4.0, 2.0]) ... ok
test_rank.test_cases([100, 200, 300, 200], 'max', [1.0, 3.0, 4.0, 3.0]) ... ok
test_rank.test_cases([100, 200, 300, 200], 'dense', [1.0, 2.0, 3.0, 2.0]) ... ok
test_rank.test_cases([100, 200, 300, 200], 'ordinal', [1.0, 2.0, 4.0, 3.0]) ... ok
test_rank.test_cases([100, 200, 300, 200, 100], 'average', [1.5, 3.5, 5.0, 3.5, 1.5]) ... ok
test_rank.test_cases([100, 200, 300, 200, 100], 'min', [1.0, 3.0, 5.0, 3.0, 1.0]) ... ok
test_rank.test_cases([100, 200, 300, 200, 100], 'max', [2.0, 4.0, 5.0, 4.0, 2.0]) ... ok
test_rank.test_cases([100, 200, 300, 200, 100], 'dense', [1.0, 2.0, 3.0, 2.0, 1.0]) ... ok
test_rank.test_cases([100, 200, 300, 200, 100], 'ordinal', [1.0, 3.0, 5.0, 4.0, 2.0]) ... ok
test_rank.test_cases([10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10], 'ordinal', array([  1.,   2.,   3.,   4.,   5.,   6.,   7.,   8.,   9.,  10.,  11., ... ok
test_fisher (test_stats.TestCombinePvalues) ... ok
test_stouffer (test_stats.TestCombinePvalues) ... ok
test_stouffer2 (test_stats.TestCombinePvalues) ... ok
test_weighted_stouffer (test_stats.TestCombinePvalues) ... ok
test_weighted_stouffer2 (test_stats.TestCombinePvalues) ... ok
test_basic (test_stats.TestCorrPearsonr) ... ok
test_pBIGBIG (test_stats.TestCorrPearsonr) ... ok
test_pBIGHUGE (test_stats.TestCorrPearsonr) ... ok
test_pBIGLITTLE (test_stats.TestCorrPearsonr) ... ok
test_pBIGROUND (test_stats.TestCorrPearsonr) ... ok
test_pBIGTINY (test_stats.TestCorrPearsonr) ... ok
test_pHUGEHUGE (test_stats.TestCorrPearsonr) ... ok
test_pHUGEROUND (test_stats.TestCorrPearsonr) ... ok
test_pHUGETINY (test_stats.TestCorrPearsonr) ... ok
test_pLITTLEHUGE (test_stats.TestCorrPearsonr) ... ok
test_pLITTLELITTLE (test_stats.TestCorrPearsonr) ... ok
test_pLITTLEROUND (test_stats.TestCorrPearsonr) ... ok
test_pLITTLETINY (test_stats.TestCorrPearsonr) ... ok
test_pROUNDROUND (test_stats.TestCorrPearsonr) ... ok
test_pTINYROUND (test_stats.TestCorrPearsonr) ... ok
test_pTINYTINY (test_stats.TestCorrPearsonr) ... ok
test_pXBIG (test_stats.TestCorrPearsonr) ... ok
test_pXHUGE (test_stats.TestCorrPearsonr) ... ok
test_pXLITTLE (test_stats.TestCorrPearsonr) ... ok
test_pXROUND (test_stats.TestCorrPearsonr) ... ok
test_pXTINY (test_stats.TestCorrPearsonr) ... ok
test_pXX (test_stats.TestCorrPearsonr) ... ok
test_r_exactly_neg1 (test_stats.TestCorrPearsonr) ... ok
test_r_exactly_pos1 (test_stats.TestCorrPearsonr) ... ok
test_nan_policy (test_stats.TestCorrSpearmanr) ... ok
test_sBIGBIG (test_stats.TestCorrSpearmanr) ... ok
test_sBIGHUGE (test_stats.TestCorrSpearmanr) ... ok
test_sBIGLITTLE (test_stats.TestCorrSpearmanr) ... ok
test_sBIGROUND (test_stats.TestCorrSpearmanr) ... ok
test_sBIGTINY (test_stats.TestCorrSpearmanr) ... ok
test_sHUGEHUGE (test_stats.TestCorrSpearmanr) ... ok
test_sHUGEROUND (test_stats.TestCorrSpearmanr) ... ok
test_sHUGETINY (test_stats.TestCorrSpearmanr) ... ok
test_sLITTLEHUGE (test_stats.TestCorrSpearmanr) ... ok
test_sLITTLELITTLE (test_stats.TestCorrSpearmanr) ... ok
test_sLITTLEROUND (test_stats.TestCorrSpearmanr) ... ok
test_sLITTLETINY (test_stats.TestCorrSpearmanr) ... ok
test_sROUNDROUND (test_stats.TestCorrSpearmanr) ... ok
test_sTINYROUND (test_stats.TestCorrSpearmanr) ... ok
test_sTINYTINY (test_stats.TestCorrSpearmanr) ... ok
test_sXBIG (test_stats.TestCorrSpearmanr) ... ok
test_sXHUGE (test_stats.TestCorrSpearmanr) ... ok
test_sXLITTLE (test_stats.TestCorrSpearmanr) ... ok
test_sXROUND (test_stats.TestCorrSpearmanr) ... ok
test_sXTINY (test_stats.TestCorrSpearmanr) ... ok
test_sXX (test_stats.TestCorrSpearmanr) ... ok
test_scalar (test_stats.TestCorrSpearmanr) ... ok
test_spearmanr_result_attributes (test_stats.TestCorrSpearmanr) ... ok
test_uneven_lengths (test_stats.TestCorrSpearmanr) ... ok
test_tie1 (test_stats.TestCorrSpearmanrTies) ... ok
test_describe_axis_none (test_stats.TestDescribe) ... ok
test_describe_ddof (test_stats.TestDescribe) ... ok
test_describe_empty (test_stats.TestDescribe) ... ok
test_describe_numbers (test_stats.TestDescribe) ... ok
test_describe_result_attributes (test_stats.TestDescribe) ... ok
test_describe_scalar (test_stats.TestDescribe) ... ok
test_basic (test_stats.TestFOneWay) ... ok
test_large_integer_array (test_stats.TestFOneWay) ... ok
test_nist (test_stats.TestFOneWay) ... ok
test_result_attributes (test_stats.TestFOneWay) ... ok
test_trivial (test_stats.TestFOneWay) ... ok
test_basic (test_stats.TestFindRepeats) ... ok
test_empty_result (test_stats.TestFindRepeats) ... ok
test_basic (test_stats.TestFisherExact) ... ok
test_gh3014 (test_stats.TestFisherExact) ... ok
test_large_numbers (test_stats.TestFisherExact) ... ok
test_less_greater (test_stats.TestFisherExact) ... ok
test_precise (test_stats.TestFisherExact) ... ok
test_raises (test_stats.TestFisherExact) ... ok
test_row_or_col_zero (test_stats.TestFisherExact) ... ok
test_1D_array (test_stats.TestGMean) ... ok
test_1D_list (test_stats.TestGMean) ... ok
test_2D_array_default (test_stats.TestGMean) ... ok
test_2D_array_dim1 (test_stats.TestGMean) ... ok
test_large_values (test_stats.TestGMean) ... ok
test_1darray (test_stats.TestGeoMean) ... ok
test_1darray0 (test_stats.TestGeoMean) ... ok
test_1dlist (test_stats.TestGeoMean) ... ok
test_1dlist0 (test_stats.TestGeoMean) ... ok
test_1dma (test_stats.TestGeoMean) ... ok
test_1dma0 (test_stats.TestGeoMean) ... ok
test_1dmainf (test_stats.TestGeoMean) ... ok
test_1dmavalue (test_stats.TestGeoMean) ... ok
test_2darray (test_stats.TestGeoMean) ... ok
test_2daxis0 (test_stats.TestGeoMean) ... ok
test_2daxis1 (test_stats.TestGeoMean) ... ok
test_2dlist (test_stats.TestGeoMean) ... ok
test_2dma (test_stats.TestGeoMean) ... ok
test_2dmatrixaxis1 (test_stats.TestGeoMean) ... ok
test_2dmatrixdaxis0 (test_stats.TestGeoMean) ... ok
test_1D_array (test_stats.TestHMean) ... ok
test_1D_list (test_stats.TestHMean) ... ok
test_2D_array_default (test_stats.TestHMean) ... ok
test_2D_array_dim1 (test_stats.TestHMean) ... ok
test_1darray (test_stats.TestHarMean) ... ok
test_1dlist (test_stats.TestHarMean) ... ok
test_1dma (test_stats.TestHarMean) ... ok
test_1dmavalue (test_stats.TestHarMean) ... ok
test_2darray (test_stats.TestHarMean) ... ok
test_2daxis0 (test_stats.TestHarMean) ... ok
test_2daxis1 (test_stats.TestHarMean) ... ok
test_2dlist (test_stats.TestHarMean) ... ok
test_2dma (test_stats.TestHarMean) ... ok
test_2dmatrixaxis1 (test_stats.TestHarMean) ... ok
test_2dmatrixdaxis0 (test_stats.TestHarMean) ... ok
test_empty (test_stats.TestHistogram) ... ok
test_histogram_result_attributes (test_stats.TestHistogram) ... ok
test_increased_bins (test_stats.TestHistogram) ... ok
test_reduced_bins (test_stats.TestHistogram) ... ok
test_simple (test_stats.TestHistogram) ... ok
test_2D (test_stats.TestIQR) ... ok
test_api (test_stats.TestIQR) ... ok
test_axis (test_stats.TestIQR) ... ok
test_basic (test_stats.TestIQR) ... ok
test_constant (test_stats.TestIQR) ... ok
test_empty (test_stats.TestIQR) ... ok
test_interpolation (test_stats.TestIQR) ... ok
test_keepdims (test_stats.TestIQR) ... ok
test_nanpolicy (test_stats.TestIQR) ... ok
test_rng (test_stats.TestIQR) ... ok
test_scalarlike (test_stats.TestIQR) ... ok
test_scale (test_stats.TestIQR) ... ok
test_stats.TestItemfreq.test_numeric_types(<type 'numpy.int32'>,) ... ok
test_stats.TestItemfreq.test_numeric_types(<type 'numpy.int64'>,) ... ok
test_stats.TestItemfreq.test_numeric_types(<type 'numpy.float32'>,) ... ok
test_stats.TestItemfreq.test_numeric_types(<type 'numpy.float64'>,) ... ok
test_stats.TestItemfreq.test_numeric_types(<type 'numpy.complex64'>,) ... ok
test_stats.TestItemfreq.test_numeric_types(<type 'numpy.complex128'>,) ... ok
test_stats.TestItemfreq.test_object_arrays ... ok
test_stats.TestItemfreq.test_structured_arrays ... ok
test_jarque_bera_array_like (test_stats.TestJarqueBera) ... ok
test_jarque_bera_size (test_stats.TestJarqueBera) ... ok
test_jarque_bera_stats (test_stats.TestJarqueBera) ... ok
test_another_tie (test_stats.TestKruskal) ... ok
test_basic (test_stats.TestKruskal) ... ok
test_empty (test_stats.TestKruskal) ... ok
test_kruskal_result_attributes (test_stats.TestKruskal) ... ok
test_nan_policy (test_stats.TestKruskal) ... ok
test_simple (test_stats.TestKruskal) ... ok
test_simple_tie (test_stats.TestKruskal) ... ok
test_three_groups (test_stats.TestKruskal) ... ok
test_mannwhitneyu_default (test_stats.TestMannWhitneyU) ... ok
test_mannwhitneyu_no_correct_default (test_stats.TestMannWhitneyU) ... ok
test_mannwhitneyu_no_correct_one_sided (test_stats.TestMannWhitneyU) ... ok
test_mannwhitneyu_no_correct_two_sided (test_stats.TestMannWhitneyU) ... ok
test_mannwhitneyu_one_sided (test_stats.TestMannWhitneyU) ... ok
test_mannwhitneyu_ones (test_stats.TestMannWhitneyU) ... ok
test_mannwhitneyu_result_attributes (test_stats.TestMannWhitneyU) ... ok
test_mannwhitneyu_two_sided (test_stats.TestMannWhitneyU) ... ok
test_axes (test_stats.TestMode) ... ok
test_basic (test_stats.TestMode) ... ok
test_empty (test_stats.TestMode) ... ok
test_mixed_objects (test_stats.TestMode) ... ok
test_mode_nan (test_stats.TestMode) ... ok
test_mode_result_attributes (test_stats.TestMode) ... ok
test_objects (test_stats.TestMode) ... ok
test_scalar (test_stats.TestMode) ... ok
test_strings (test_stats.TestMode) ... ok
test_kurtosis (test_stats.TestMoments) ... ok
test_kurtosis_array_scalar (test_stats.TestMoments) ... ok
test_kurtosis_propagate_nan (test_stats.TestMoments) ... ok
test_moment (test_stats.TestMoments) ... ok
test_moment_accuracy (test_stats.TestMoments) ... ok
test_moment_propagate_nan (test_stats.TestMoments) ... ok
test_skew_propagate_nan (test_stats.TestMoments) ... ok
test_skewness (test_stats.TestMoments) ... ok
test_skewness_scalar (test_stats.TestMoments) ... ok
test_variation (test_stats.TestMoments) ... ok
test_variation_propagate_nan (test_stats.TestMoments) ... ok
test_stats.TestPowerDivergence.test_axis(array([[ 4,  8, 12,  8], ... ok
test_stats.TestPowerDivergence.test_axis(array([[ 4,  8, 12,  8], ... ok
test_stats.TestPowerDivergence.test_axis(array([[ 4,  8, 12,  8], ... ok
test_stats.TestPowerDivergence.test_axis(array([[ 4,  8, 12,  8], ... ok
test_stats.TestPowerDivergence.test_axis(array([[ 4,  8], ... ok
test_stats.TestPowerDivergence.test_basic([4, 8, 12, 8], None, 0, None, None, 4) ... ok
test_stats.TestPowerDivergence.test_basic([4, 8, 12, 8], None, 0, None, 'pearson', 4) ... ok
test_stats.TestPowerDivergence.test_basic([4, 8, 12, 8], None, 0, None, 1, 4) ... ok
test_stats.TestPowerDivergence.test_basic([4, 8, 12, 8], None, 0, None, 'log-likelihood', 4.1859851501163829) ... ok
test_stats.TestPowerDivergence.test_basic([4, 8, 12, 8], None, 0, None, 'mod-log-likelihood', 4.6029131592284935) ... ok
test_stats.TestPowerDivergence.test_basic([4, 8, 12, 8], None, 0, None, 'cressie-read', 4.039722837077624) ... ok
test_stats.TestPowerDivergence.test_basic([4, 8, 12, 8], None, 0, None, 0.6666666666666666, 4.039722837077624) ... ok
test_stats.TestPowerDivergence.test_basic([4, 8, 12, 8], [2, 16, 12, 2], 0, None, None, 24) ... ok
test_stats.TestPowerDivergence.test_basic([4, 8, 12, 8], [2, 16, 12, 2], 0, None, 'pearson', 24) ... ok
test_stats.TestPowerDivergence.test_basic([4, 8, 12, 8], [2, 16, 12, 2], 0, None, 1, 24) ... ok
test_stats.TestPowerDivergence.test_basic([4, 8, 12, 8], [2, 16, 12, 2], 0, None, 'log-likelihood', 16.635532333438686) ... ok
test_stats.TestPowerDivergence.test_basic([4, 8, 12, 8], [2, 16, 12, 2], 0, None, 'mod-log-likelihood', 13.862943611198904) ... ok
test_stats.TestPowerDivergence.test_basic([4, 8, 12, 8], [2, 16, 12, 2], 0, None, 'cressie-read', 20.78644537038647) ... ok
test_stats.TestPowerDivergence.test_basic([4, 8, 12, 8], [2, 16, 12, 2], 0, None, 0.6666666666666666, 20.78644537038647) ... ok
test_stats.TestPowerDivergence.test_basic([4, 8, 12, 8], 8, 0, None, None, 4) ... ok
test_stats.TestPowerDivergence.test_basic([4, 8, 12, 8], 8, 0, None, 'pearson', 4) ... ok
test_stats.TestPowerDivergence.test_basic([4, 8, 12, 8], 8, 0, None, 1, 4) ... ok
test_stats.TestPowerDivergence.test_basic([4, 8, 12, 8], 8, 0, None, 'log-likelihood', 4.1859851501163829) ... ok
test_stats.TestPowerDivergence.test_basic([4, 8, 12, 8], 8, 0, None, 'mod-log-likelihood', 4.6029131592284935) ... ok
test_stats.TestPowerDivergence.test_basic([4, 8, 12, 8], 8, 0, None, 'cressie-read', 4.039722837077624) ... ok
test_stats.TestPowerDivergence.test_basic([4, 8, 12, 8], 8, 0, None, 0.6666666666666666, 4.039722837077624) ... ok
test_stats.TestPowerDivergence.test_basic([3, 5, 7, 9], [3, 5, 7, 9], 0, 0, None, 0) ... ok
test_stats.TestPowerDivergence.test_basic([3, 5, 7, 9], [3, 5, 7, 9], 0, 0, 'pearson', 0) ... ok
test_stats.TestPowerDivergence.test_basic([3, 5, 7, 9], [3, 5, 7, 9], 0, 0, 1, 0) ... ok
test_stats.TestPowerDivergence.test_basic([3, 5, 7, 9], [3, 5, 7, 9], 0, 0, 'log-likelihood', 0) ... ok
test_stats.TestPowerDivergence.test_basic([3, 5, 7, 9], [3, 5, 7, 9], 0, 0, 'mod-log-likelihood', 0) ... ok
test_stats.TestPowerDivergence.test_basic([3, 5, 7, 9], [3, 5, 7, 9], 0, 0, 'cressie-read', 0) ... ok
test_stats.TestPowerDivergence.test_basic([3, 5, 7, 9], [3, 5, 7, 9], 0, 0, 0.6666666666666666, 0) ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [ 4  8 12  8], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [ 4  8 12  8], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [ 4  8 12  8], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [ 4  8 12  8], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [ 4  8 12  8], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [ 4  8 12  8], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [ 4  8 12  8], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [ 4  8 12  8], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [ 4  8 12  8], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [ 4  8 12  8], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [ 4  8 12  8], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [ 4  8 12  8], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [ 4  8 12  8], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [ 4  8 12  8], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [ 4  8 12  8], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [ 4  8 12  8], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [ 4  8 12  8], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [ 4  8 12  8], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [ 4  8 12  8], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [ 4  8 12  8], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [ 4  8 12  8], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [3 5 7 9], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [3 5 7 9], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [3 5 7 9], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [3 5 7 9], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [3 5 7 9], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [3 5 7 9], ... ok
test_stats.TestPowerDivergence.test_basic_masked(masked_array(data = [3 5 7 9], ... ok
test_stats.TestPowerDivergence.test_ddof_broadcasting ... ok
test_stats.TestPowerDivergence.test_empty_cases([], None, 0, 0, 'pearson', 0) ... ok
test_stats.TestPowerDivergence.test_empty_cases([], None, 0, 0, 'log-likelihood', 0) ... ok
test_stats.TestPowerDivergence.test_empty_cases([], None, 0, 0, 'mod-log-likelihood', 0) ... ok
test_stats.TestPowerDivergence.test_empty_cases([], None, 0, 0, 'cressie-read', 0) ... ok
test_stats.TestPowerDivergence.test_empty_cases(array([], shape=(0, 3), dtype=float64), None, 0, 0, 'pearson', [0, 0, 0]) ... ok
test_stats.TestPowerDivergence.test_empty_cases(array([], shape=(0, 3), dtype=float64), None, 0, 0, 'log-likelihood', [0, 0, 0]) ... ok
test_stats.TestPowerDivergence.test_empty_cases(array([], shape=(0, 3), dtype=float64), None, 0, 0, 'mod-log-likelihood', [0, 0, 0]) ... ok
test_stats.TestPowerDivergence.test_empty_cases(array([], shape=(0, 3), dtype=float64), None, 0, 0, 'cressie-read', [0, 0, 0]) ... ok
test_stats.TestPowerDivergence.test_empty_cases(array([], shape=(3, 0), dtype=float64), None, 0, 0, 'pearson', []) ... ok
test_stats.TestPowerDivergence.test_empty_cases(array([], shape=(3, 0), dtype=float64), None, 0, 0, 'log-likelihood', []) ... ok
test_stats.TestPowerDivergence.test_empty_cases(array([], shape=(3, 0), dtype=float64), None, 0, 0, 'mod-log-likelihood', []) ... ok
test_stats.TestPowerDivergence.test_empty_cases(array([], shape=(3, 0), dtype=float64), None, 0, 0, 'cressie-read', []) ... ok
test_stats.TestPowerDivergence.test_power_divergence_result_attributes ... ok
test_ranksums_result_attributes (test_stats.TestRankSums) ... ok
test_empty_input (test_stats.TestRegression) ... ok
test_linregress (test_stats.TestRegression) ... ok
test_linregressBIGX (test_stats.TestRegression) ... ok
test_linregress_result_attributes (test_stats.TestRegression) ... ok
test_nan_input (test_stats.TestRegression) ... ok
test_nist_norris (test_stats.TestRegression) ... ok
test_regressXX (test_stats.TestRegression) ... ok
test_regressZEROX (test_stats.TestRegression) ... ok
test_regress_shape_error (test_stats.TestRegression) ... ok
test_regress_simple (test_stats.TestRegression) ... ok
test_regress_simple_negative_cor (test_stats.TestRegression) ... ok
test_regress_simple_onearg_cols (test_stats.TestRegression) ... ok
test_regress_simple_onearg_rows (test_stats.TestRegression) ... ok
test_axis (test_stats.TestScoreatpercentile) ... ok
test_basic (test_stats.TestScoreatpercentile) ... ok
test_empty (test_stats.TestScoreatpercentile) ... ok
test_exception (test_stats.TestScoreatpercentile) ... ok
test_fraction (test_stats.TestScoreatpercentile) ... ok
test_lower_higher (test_stats.TestScoreatpercentile) ... ok
test_sequence_per (test_stats.TestScoreatpercentile) ... ok
test_stats.TestSigamClip.test_sigmaclip1 ... ok
test_stats.TestSigamClip.test_sigmaclip2 ... ok
test_stats.TestSigamClip.test_sigmaclip3 ... ok
test_stats.TestSigamClip.test_sigmaclip_result_attributes ... ok
test_onesample (test_stats.TestStudentTest) ... ok
test_basic (test_stats.TestThreshold) ... ok
test_stats.TestTrim.test_trim1 ... ok
test_stats.TestTrim.test_trim_mean ... ok
test_stats.TestTrim.test_trimboth ... ok
test_tmax (test_stats.TestTrimmedStats) ... ok
test_tmean (test_stats.TestTrimmedStats) ... ok
test_tmin (test_stats.TestTrimmedStats) ... ok
test_tsem (test_stats.TestTrimmedStats) ... ok
test_tstd (test_stats.TestTrimmedStats) ... ok
test_tvar (test_stats.TestTrimmedStats) ... ok
test_sem (test_stats.TestVariability) ... ok
test_signaltonoise (test_stats.TestVariability) ... ok
test_zmap (test_stats.TestVariability) ... ok
test_zmap_axis (test_stats.TestVariability) ... ok
test_zmap_ddof (test_stats.TestVariability) ... ok
test_zscore (test_stats.TestVariability) ... ok
test_zscore_axis (test_stats.TestVariability) ... ok
test_zscore_ddof (test_stats.TestVariability) ... ok
test_stats.test_kendalltau ... ok
test_stats.test_kendalltau_nan_2nd_arg ... ok
test_stats.test_theilslopes ... ok
test_stats.test_cumfreq ... ok
test_stats.test_relfreq ... ok
test_stats.test_percentileofscore(35.0, 35.0) ... ok
test_stats.test_percentileofscore(30.0, 30.0) ... ok
test_stats.test_percentileofscore(40.0, 40.0) ... ok
test_stats.test_percentileofscore(45.0, 45.0) ... ok
test_stats.test_percentileofscore(30.0, 30.0) ... ok
test_stats.test_percentileofscore(50.0, 50.0) ... ok
test_stats.test_percentileofscore(40.0, 40.0) ... ok
test_stats.test_percentileofscore(50.0, 50.0) ... ok
test_stats.test_percentileofscore(45.0, 45.0) ... ok
test_stats.test_percentileofscore(30.0, 30.0) ... ok
test_stats.test_percentileofscore(60.0, 60.0) ... ok
test_stats.test_percentileofscore(30.0, 30) ... ok
test_stats.test_percentileofscore(30.0, 30) ... ok
test_stats.test_percentileofscore(30.0, 30) ... ok
test_stats.test_percentileofscore(30.0, 30) ... ok
test_stats.test_percentileofscore(35.0, 35.0) ... ok
test_stats.test_percentileofscore(30.0, 30.0) ... ok
test_stats.test_percentileofscore(40.0, 40.0) ... ok
test_stats.test_percentileofscore(45.0, 45.0) ... ok
test_stats.test_percentileofscore(30.0, 30.0) ... ok
test_stats.test_percentileofscore(60.0, 60.0) ... ok
test_stats.test_percentileofscore(30.0, 30.0) ... ok
test_stats.test_percentileofscore(30.0, 30.0) ... ok
test_stats.test_percentileofscore(30.0, 30.0) ... ok
test_stats.test_percentileofscore(30.0, 30.0) ... ok
test_stats.test_percentileofscore(10.0, 10.0) ... ok
test_stats.test_percentileofscore(5.0, 5.0) ... ok
test_stats.test_percentileofscore(0.0, 0.0) ... ok
test_stats.test_percentileofscore(10.0, 10.0) ... ok
test_stats.test_percentileofscore(100.0, 100.0) ... ok
test_stats.test_percentileofscore(95.0, 95.0) ... ok
test_stats.test_percentileofscore(90.0, 90.0) ... ok
test_stats.test_percentileofscore(100.0, 100.0) ... ok
test_stats.test_percentileofscore(100.0, 100.0) ... ok
test_stats.test_percentileofscore(100.0, 100.0) ... ok
test_stats.test_percentileofscore(0.0, 0.0) ... ok
test_stats.test_chisquare_masked_arrays ... ok
test_stats.test_power_divergence_against_cressie_read_data ... ok
test_stats.test_friedmanchisquare ... ok
test_stats.test_kstest ... ok
test_stats.test_ks_2samp ... ok
test_stats.test_ttest_rel ... ok
test_stats.test_ttest_rel_nan_2nd_arg ... ok
test_stats.test_ttest_ind ... ok
test_stats.test_ttest_ind_with_uneq_var ... ok
test_stats.test_ttest_ind_nan_2nd_arg ... ok
test_stats.test_gh5686 ... ok
test_stats.test_ttest_1samp_new ... ok
test_stats.test_normalitytests(<type 'exceptions.ValueError'>, <function skewtest at 0x251d9b0>, 4.0) ... ok
test_stats.test_normalitytests(<type 'exceptions.ValueError'>, <function kurtosistest at 0x251dd70>, 4.0) ... ok
test_stats.test_normalitytests(<type 'exceptions.ValueError'>, <function normaltest at 0x25221b8>, 4.0) ... ok
test_stats.test_normalitytests(NormaltestResult(statistic=3.9237191815818493, pvalue=0.14059672529747549), (3.92371918, 0.14059673)) ... ok
test_stats.test_normalitytests(SkewtestResult(statistic=1.9807882609087573, pvalue=0.047615023828432253), (1.98078826, 0.04761502)) ... ok
test_stats.test_normalitytests(KurtosistestResult(statistic=-0.014037344047597383, pvalue=0.98880018772590561), (-0.01403734, 0.98880019)) ... ok
test_stats.test_normalitytests(NormaltestResult(statistic=3.9237191815818493, pvalue=0.14059672529747549), (3.92371918, 0.14059673)) ... ok
test_stats.test_normalitytests(SkewtestResult(statistic=1.9807882609087573, pvalue=0.047615023828432253), (1.98078826, 0.04761502)) ... ok
test_stats.test_normalitytests(KurtosistestResult(statistic=-0.014037344047597383, pvalue=0.98880018772590561), (-0.01403734, 0.98880019)) ... ok
test_stats.test_skewtest_too_few_samples ... ok
test_stats.test_kurtosistest_too_few_samples ... ok
test_stats.test_pointbiserial ... ok
test_stats.test_obrientransform ... ok
test_stats.test_binomtest ... ok
test_stats.test_binomtest2 ... ok
test_stats.test_binomtest3 ... ok
Compare results with some known exact formulas. ... ok
Compare results with some values that were computed using mpmath. ... ok
Test values of lambda outside the domains of the functions. ... ok
test_simple_expr (test_ast_tools.TestHarvestVariables) ... ok
test_fdtd_expr (test_blitz_tools.TestAstToBlitzExpr) ... ok
test_simple_expr (test_blitz_tools.TestAstToBlitzExpr) ... ok
test_bad_path (test_build_tools.TestConfigureBuildDir) ... ok
test_curdir (test_build_tools.TestConfigureBuildDir) ... ok
test_default (test_build_tools.TestConfigureBuildDir) ... ok
test_pardir (test_build_tools.TestConfigureBuildDir) ... ok
test_simple (test_build_tools.TestConfigureSysArgv) ... ok
test_bad_path (test_build_tools.TestConfigureTempDir) ... ok
test_curdir (test_build_tools.TestConfigureTempDir) ... ok
test_default (test_build_tools.TestConfigureTempDir) ... ok
test_pardir (test_build_tools.TestConfigureTempDir) ... ok
test_access_writable_file (test_catalog.TestCatalog) ... ok
test_add_function_ordered (test_catalog.TestCatalog) ... ok
test_add_function_persistent1 (test_catalog.TestCatalog) ... ok
test_build_search_order1 (test_catalog.TestCatalog) ... ok
test_build_search_order2 (test_catalog.TestCatalog) ... ok
test_build_search_order3 (test_catalog.TestCatalog) ... ok
test_build_search_order4 (test_catalog.TestCatalog) ... ok
test_catalog_files1 (test_catalog.TestCatalog) ... ok
test_catalog_files2 (test_catalog.TestCatalog) ... ok
test_clear_module_directory (test_catalog.TestCatalog) ... ok
test_get_environ_path (test_catalog.TestCatalog) ... ok
test_get_existing_files1 (test_catalog.TestCatalog) ... ok
test_get_existing_files2 (test_catalog.TestCatalog) ... ok
test_set_module_directory (test_catalog.TestCatalog) ... ok
test_unique_module_name (test_catalog.TestCatalog) ... ok
test_writable_dir (test_catalog.TestCatalog) ... ok
test_writable_with_bad_path (test_catalog.TestCatalog) ... ok
test_bad_path (test_catalog.TestCatalogPath) ... ok
test_current (test_catalog.TestCatalogPath) ... ok
test_default (test_catalog.TestCatalogPath) ... ok
test_module (test_catalog.TestCatalogPath) ... ok
test_path (test_catalog.TestCatalogPath) ... ok
test_user (test_catalog.TestCatalogPath) ... ok
test_is_writable (test_catalog.TestDefaultDir) ... ok
test_posix (test_catalog.TestDefaultDir) ... ok
test_posix_dirs_inaccessible (test_catalog.TestDefaultDir) ... ok
test_posix_home_inaccessible (test_catalog.TestDefaultDir) ... ok
test_win (test_catalog.TestDefaultDir) ... ok
get_test_dir (test_catalog.TestGetCatalog) ... ok
test_create_catalog (test_catalog.TestGetCatalog) ... ok
test_nonexistent_catalog_is_none (test_catalog.TestGetCatalog) ... ok
test_incorrect_ownership (test_catalog.TestIntermediateDir) ... KNOWNFAIL: Can't change owner.
test_incorrect_permissions (test_catalog.TestIntermediateDir) ... ok
test_ownership (test_catalog.TestIntermediateDir) ... ok
test_permissions (test_catalog.TestIntermediateDir) ... ok
test_symlink (test_catalog.TestIntermediateDir) ... ok
test_symlink_raise (test_catalog.TestIntermediateDir) ... ok
test_assign_variable_types (test_ext_tools.TestAssignVariableTypes) ... ok
test_numpy_scalar_spec.setup_test_location ... ok
test_numpy_scalar_spec.teardown_test_location ... ok
test_error1 (test_size_check.TestBinaryOpSize) ... ok
test_error2 (test_size_check.TestBinaryOpSize) ... ok
test_scalar (test_size_check.TestBinaryOpSize) ... ok
test_x1 (test_size_check.TestBinaryOpSize) ... ok
test_x_y (test_size_check.TestBinaryOpSize) ... ok
test_x_y2 (test_size_check.TestBinaryOpSize) ... ok
test_x_y3 (test_size_check.TestBinaryOpSize) ... ok
test_x_y4 (test_size_check.TestBinaryOpSize) ... ok
test_x_y5 (test_size_check.TestBinaryOpSize) ... ok
test_x_y6 (test_size_check.TestBinaryOpSize) ... ok
test_x_y7 (test_size_check.TestBinaryOpSize) ... ok
test_y1 (test_size_check.TestBinaryOpSize) ... ok
test_error1 (test_size_check.TestDummyArray) ... ok
test_error2 (test_size_check.TestDummyArray) ... ok
test_scalar (test_size_check.TestDummyArray) ... ok
test_x1 (test_size_check.TestDummyArray) ... ok
test_x_y (test_size_check.TestDummyArray) ... ok
test_x_y2 (test_size_check.TestDummyArray) ... ok
test_x_y3 (test_size_check.TestDummyArray) ... ok
test_x_y4 (test_size_check.TestDummyArray) ... ok
test_x_y5 (test_size_check.TestDummyArray) ... ok
test_x_y6 (test_size_check.TestDummyArray) ... ok
test_x_y7 (test_size_check.TestDummyArray) ... ok
test_y1 (test_size_check.TestDummyArray) ... ok
test_1d_0 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_1 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_10 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_2 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_3 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_4 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_5 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_6 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_7 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_8 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_9 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_index_0 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_index_1 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_index_2 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_index_3 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_index_calculated (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_random (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_stride_0 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_stride_1 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_stride_10 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_stride_11 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_stride_12 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_stride_2 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_stride_3 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_stride_4 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_stride_5 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_stride_6 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_stride_7 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_stride_8 (test_size_check.TestDummyArrayIndexing) ... ok
test_1d_stride_9 (test_size_check.TestDummyArrayIndexing) ... ok
test_2d_0 (test_size_check.TestDummyArrayIndexing) ... ok
test_2d_1 (test_size_check.TestDummyArrayIndexing) ... ok
test_2d_2 (test_size_check.TestDummyArrayIndexing) ... ok
test_2d_random (test_size_check.TestDummyArrayIndexing) ... ok
test_3d_random (test_size_check.TestDummyArrayIndexing) ... ok
test_calculated_index (test_size_check.TestExpressions) ... ok
test_calculated_index2 (test_size_check.TestExpressions) ... ok
test_generic_1d (test_size_check.TestExpressions) ... ok
test_single_index (test_size_check.TestExpressions) ... ok
test_scalar (test_size_check.TestMakeSameLength) ... ok
test_x_scalar (test_size_check.TestMakeSameLength) ... ok
test_x_short (test_size_check.TestMakeSameLength) ... ok
test_y_scalar (test_size_check.TestMakeSameLength) ... ok
test_y_short (test_size_check.TestMakeSameLength) ... ok
test_1d_0 (test_size_check.TestReduction) ... ok
test_2d_0 (test_size_check.TestReduction) ... ok
test_2d_1 (test_size_check.TestReduction) ... ok
test_3d_0 (test_size_check.TestReduction) ... ok
test_error0 (test_size_check.TestReduction) ... ok
test_error1 (test_size_check.TestReduction) ... ok
test_exclusive_end (test_slice_handler.TestBuildSliceAtom) ... ok
test_begin_2_slice (test_slice_handler.TestSlice) ... ok
test_begin_3_slice (test_slice_handler.TestSlice) ... ok
test_begin_end_2_slice (test_slice_handler.TestSlice) ... ok
test_begin_end_3_slice (test_slice_handler.TestSlice) ... ok
test_begin_end_stp3_slice (test_slice_handler.TestSlice) ... ok
test_begin_step_3_slice (test_slice_handler.TestSlice) ... ok
test_empty_2_slice (test_slice_handler.TestSlice) ... ok
test_empty_3_slice (test_slice_handler.TestSlice) ... ok
test_end_2_slice (test_slice_handler.TestSlice) ... ok
test_end_3_slice (test_slice_handler.TestSlice) ... ok
test_end_step_3_slice (test_slice_handler.TestSlice) ... ok
test_expr_3_slice (test_slice_handler.TestSlice) ... ok
test_single_index (test_slice_handler.TestSlice) ... ok
test_stp3_slice (test_slice_handler.TestSlice) ... ok
test_simple_expr1 (test_slice_handler.TestTransformSlices) ... ok
test_simple_expr2 (test_slice_handler.TestTransformSlices) ... ok
test_type_match_array (test_standard_array_spec.TestArrayConverter) ... ok
test_type_match_int (test_standard_array_spec.TestArrayConverter) ... ok
test_type_match_string (test_standard_array_spec.TestArrayConverter) ... ok
----------------------------------------------------------------------
Ran 24552 tests in 860.964s
OK (KNOWNFAIL=98, SKIP=2019)
Running unit tests for scipy
NumPy version 1.11.2
NumPy relaxed strides checking option: False
NumPy is installed in /usr/lib64/python2.7/site-packages/numpy
SciPy version 0.18.0
SciPy is installed in /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/lib64/python2.7/site-packages/scipy
Python version 2.7.5 (default, Nov  6 2016, 00:28:07) [GCC 4.8.5 20150623 (Red Hat 4.8.5-11)]
nose version 1.3.7
+ exit 0
Processing files: python2-scipy-0.18.0-3.el7.x86_64
Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.ve9zZu
+ umask 022
+ cd /builddir/build/BUILD
+ cd scipy-0.18.0
+ DOCDIR=/builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/share/doc/python2-scipy-0.18.0
+ export DOCDIR
+ /usr/bin/mkdir -p /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/share/doc/python2-scipy-0.18.0
+ cp -pr LICENSE.txt /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64/usr/share/doc/python2-scipy-0.18.0
+ exit 0
Finding  Provides: /bin/sh -c " /usr/bin/grep -v  '/usr/lib64/python2.7/site-packages.*\.so$' | /usr/bin/grep -v  '%{python3_sitearch}.*\.so$' | while read FILE; do echo "${FILE}" | /usr/lib/rpm/rpmdeps -P; done | /bin/sort -u "
Finding  Requires(interp): 
Finding  Requires(rpmlib): 
Finding  Requires(verify): 
Finding  Requires(pre): 
Finding  Requires(post): 
Finding  Requires(preun): 
Finding  Requires(postun): 
Finding  Requires(pretrans): 
Finding  Requires(posttrans): 
Finding  Requires: /bin/sh -c "  while read FILE; do echo "${FILE}" | /usr/lib/rpm/rpmdeps -R; done | /bin/sort -u "
Provides: python-scipy = 0.18.0-3.el7 scipy = 0.18.0-3.el7 scipy(x86-64) = 0.18.0-3.el7 python2-scipy = 0.18.0-3.el7 python2-scipy(x86-64) = 0.18.0-3.el7
Requires(rpmlib): rpmlib(PartialHardlinkSets) <= 4.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 rpmlib(CompressedFileNames) <= 3.0.4-1
Requires: libc.so.6()(64bit) libc.so.6(GLIBC_2.11)(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.3)(64bit) libc.so.6(GLIBC_2.4)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_4.0.0)(64bit) libgfortran.so.3()(64bit) libgfortran.so.3(GFORTRAN_1.0)(64bit) libgfortran.so.3(GFORTRAN_1.4)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libpthread.so.0()(64bit) libpthread.so.0(GLIBC_2.2.5)(64bit) libpython2.7.so.1.0()(64bit) libquadmath.so.0()(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libtatlas.so.3()(64bit) python(abi) = 2.7 rtld(GNU_HASH) /usr/bin/env
Obsoletes: python-scipy < 0.18.0-3.el7 scipy <= 0.16.0
Processing files: scipy-debuginfo-0.18.0-3.el7.x86_64
Provides: scipy-debuginfo = 0.18.0-3.el7 scipy-debuginfo(x86-64) = 0.18.0-3.el7
Requires(rpmlib): rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 rpmlib(CompressedFileNames) <= 3.0.4-1
Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64
Wrote: /builddir/build/RPMS/python2-scipy-0.18.0-3.el7.x86_64.rpm
Wrote: /builddir/build/RPMS/scipy-debuginfo-0.18.0-3.el7.x86_64.rpm
Executing(%clean): /bin/sh -e /var/tmp/rpm-tmp.iLe2cO
+ umask 022
+ cd /builddir/build/BUILD
+ cd scipy-0.18.0
+ /usr/bin/rm -rf /builddir/build/BUILDROOT/scipy-0.18.0-3.el7.x86_64
+ exit 0
Child return code was: 0
LEAVE do -->