o
    EbN                     @   s>  d dgZ ddlZddlZejejedZejdkr@ej	er@ej
dkr-ee nejdd ejd  eje 7  < i Zi Zi Zi Zi Zi Zi Zi Zi Zd	d	gd
gddZi Zi Zi Zi Zi Zi Zi Zddgd
gg dddgdZ ddgddgd
gg dddZ!g dd
gdddgg ddZ"dd  Z#dd Z$dS )get_infoshow    Nz.libswin32)      PATH lapackz/usr/lib/x86_64-linux-gnuZf77)	librarieslibrary_dirslanguageblas)z/usr/local/includez/usr/includez/usr/include/suitesparsec)Z
HAVE_CBLASN)r
   r   include_dirsr   define_macros)ZNO_ATLAS_INFO   )r   r
   r   r   r   )r	   r	   r   r   )r
   r   r   r   r   c                 C   s   t  }|| || d i S )N_info)globalsget)nameg r   2/usr/lib/python3/dist-packages/scipy/__config__.pyr   '   s   c            
      C   s,  ddl m} m}m} t  D ]L\}}|d dks!t|ti ur"qt|d  |s.td | D ](\}}t|}|dkrRt	|dkrR|dd	 d
 |dd  }td||f  q2qg g }}|D ]}	| |	 ro|
|	 qc|
|	 qctd tdd|  tdd|  tdd|  dS )aT  
    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
    -----
    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

    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 AVAILABLEZsources   N<   z	 ...
... iz    %s = %sz0Supported SIMD extensions in this NumPy install:z    baseline = %s,z    found = %sz    not found = %s)Znumpy.core._multiarray_umathr   r   r   r   itemstypeprintstrlenappendjoin)
r   r   r   r   Z	info_dictkvZfeatures_foundZfeatures_not_foundZfeaturer   r   r   r   +   s*   +
)%__all__ossyspathr'   dirname__file__Zextra_dll_dirplatformisdirversion_infoZadd_dll_directoryenviron
setdefaultpathsepZlapack_mkl_infoZopenblas_lapack_infoZopenblas_clapack_infoZ
flame_infoZaccelerate_infoZatlas_3_10_threads_infoZatlas_3_10_infoZatlas_threads_infoZ
atlas_infoZlapack_infoZblas_mkl_infoZ	blis_infoZopenblas_infoZatlas_3_10_blas_threads_infoZatlas_3_10_blas_infoZatlas_blas_threads_infoZatlas_blas_infoZ	blas_infoZblas_opt_infoZlapack_opt_infor   r   r   r   r   r   <module>   s>   
