;7f]ddgZddlZddlZejejedZejdkr*ej erej eiZ iZ iZ iZiZiZiZiZiZddgdgdd gd d gd Zd d gddgdgdd gd dZiZiZiZiZiZiZiZiZiZddgdgddZgddgd d d gdd gdZ dZ!dZ"dS)get_infoshowNz.libswin32blasz/usr/lib/x86_64-linux-gnuz/usr/local/includez /usr/includec) HAVE_CBLASN) libraries library_dirs include_dirslanguage define_macros) NO_ATLAS_INFO)r r r r r lapackf77)r r r )rrrr)r r r r r cxt}||||dziS)N_info)globalsget)namegs 2/usr/lib/python3/dist-packages/numpy/__config__.pyrr%s1 A 55quuTG^R00 1 11cTddlm}m}m}t D]\}}|ddkst |t iur0t|dz|std|D]Z\}}t|}|dkr+t|dkr|dd d z|d dz}td |d |[gg}}|D]5} || r| |  | | 6tdtdd |ztdd |ztdd |zdS)a# Show libraries in the system on which NumPy was built. Print information about various resources (libraries, library directories, include directories, etc.) in the system on which NumPy was built. See Also -------- get_include : Returns the directory containing NumPy C header files. Notes ----- 1. Classes specifying the information to be printed are defined in the `numpy.distutils.system_info` module. Information may include: * ``language``: language used to write the libraries (mostly C or f77) * ``libraries``: names of libraries found in the system * ``library_dirs``: directories containing the libraries * ``include_dirs``: directories containing library header files * ``src_dirs``: directories containing library source files * ``define_macros``: preprocessor macros used by ``distutils.setup`` * ``baseline``: minimum CPU features required * ``found``: dispatched features supported in the system * ``not found``: dispatched features that are not supported in the system 2. NumPy BLAS/LAPACK Installation Notes Installing a numpy wheel (``pip install numpy`` or force it via ``pip install numpy --only-binary :numpy: numpy``) includes an OpenBLAS implementation of the BLAS and LAPACK linear algebra APIs. In this case, ``library_dirs`` reports the original build time configuration as compiled with gcc/gfortran; at run time the OpenBLAS library is in ``site-packages/numpy.libs/`` (linux), or ``site-packages/numpy/.dylibs/`` (macOS), or ``site-packages/numpy/.libs/`` (windows). Installing numpy from source (``pip install numpy --no-binary numpy``) searches for BLAS and LAPACK dynamic link libraries at build time as influenced by environment variables NPY_BLAS_LIBS, NPY_CBLAS_LIBS, and NPY_LAPACK_LIBS; or NPY_BLAS_ORDER and NPY_LAPACK_ORDER; or the optional file ``~/.numpy-site.cfg``. NumPy remembers those locations and expects to load the same libraries at run-time. In NumPy 1.21+ on macOS, 'accelerate' (Apple's Accelerate BLAS library) is in the default build-time search order after 'openblas'. Examples -------- >>> import numpy as np >>> np.show_config() blas_opt_info: language = c define_macros = [('HAVE_CBLAS', None)] libraries = ['openblas', 'openblas'] library_dirs = ['/usr/local/lib'] r)__cpu_features____cpu_baseline____cpu_dispatch___:z NOT AVAILABLEsourcesN<z ... ... iz z = z0Supported SIMD extensions in this NumPy install:z baseline = %s,z found = %sz not found = %s) numpy.core._multiarray_umathrrrritemstypeprintstrlenappendjoin) rrrr info_dictkvfeatures_foundfeatures_not_foundfeatures rrr)sF"))//++ ) )Y 7c>>T)__DHH< ?@@@@@r)#__all__ossyspathr+dirname__file__ extra_dll_dirplatformisdiradd_dll_directoryblas_armpl_info blas_mkl_info blis_info openblas_infoaccelerate_infoatlas_3_10_blas_threads_infoatlas_3_10_blas_infoatlas_blas_threads_infoatlas_blas_info blas_info blas_opt_infolapack_armpl_infolapack_mkl_infoopenblas_lapack_infoopenblas_clapack_info flame_infoatlas_3_10_threads_infoatlas_3_10_infoatlas_threads_info atlas_info lapack_infolapack_opt_inforrrrrSs f   RW__X66@@ <7rw}}];;B'''  (;V:Wj~AOjP^auItJ K K !57K L\bdj[kZ~[nBDRmSadee   #X.A\@]kp q q BBBUpTq@CWkmAVBUikyTz{{222[A[A[A[A[Ar