
    Bwg
                         d Z ddlZdgZddZy)z!
Introspection helper functions.
    Nopt_func_infoc                   
 ddl m}m
 | Jt        j                  |       }|j                         D ci c]  \  }}|j                  |      r|| }}}n|}|nt        j                  |      i }|j                         D ]B  \  }}i }|j                         D ]   \  }	}t        
fd|	D              s|||	<   " |s>|||<   D |S |}|S c c}}w )am  
    Returns a dictionary containing the currently supported CPU dispatched
    features for all optimized functions.

    Parameters
    ----------
    func_name : str (optional)
        Regular expression to filter by function name.

    signature : str (optional)
        Regular expression to filter by data type.

    Returns
    -------
    dict
        A dictionary where keys are optimized function names and values are
        nested dictionaries indicating supported targets based on data types.

    Examples
    --------
    Retrieve dispatch information for functions named 'add' or 'sub' and
    data types 'float64' or 'float32':

    >>> import numpy as np
    >>> dict = np.lib.introspect.opt_func_info(
    ...     func_name="add|abs", signature="float64|complex64"
    ... )
    >>> import json
    >>> print(json.dumps(dict, indent=2))
        {
          "absolute": {
            "dd": {
              "current": "SSE41",
              "available": "SSE41 baseline(SSE SSE2 SSE3)"
            },
            "Ff": {
              "current": "FMA3__AVX2",
              "available": "AVX512F FMA3__AVX2 baseline(SSE SSE2 SSE3)"
            },
            "Dd": {
              "current": "FMA3__AVX2",
              "available": "AVX512F FMA3__AVX2 baseline(SSE SSE2 SSE3)"
            }
          },
          "add": {
            "ddd": {
              "current": "FMA3__AVX2",
              "available": "FMA3__AVX2 baseline(SSE SSE2 SSE3)"
            },
            "FFF": {
              "current": "FMA3__AVX2",
              "available": "FMA3__AVX2 baseline(SSE SSE2 SSE3)"
            }
          }
        }

    r   )__cpu_targets_info__dtypec              3      K   | ]8  }j                  |      xs! j                   |      j                         : y w)N)searchname).0cr   sig_patterns     K/var/www/horilla/myenv/lib/python3.12/site-packages/numpy/lib/introspect.py	<genexpr>z opt_func_info.<locals>.<genexpr>V   s?        &&q)N[-?-?a-NNs   >A)numpy._core._multiarray_umathr   r   recompileitemsr   any)	func_name	signaturetargetsfunc_patternkvmatching_funcsmatching_sigsmatching_charscharsr   r   s             @@r   r   r   	   s    t zz),$]]_
Q""1% qD
 

 !jj+"((* 		2DAqN"#'') 4w "  -4N5)4 #1a 		2  '-
s   C)NN)__doc__r   __all__r        r   <module>r"      s    

Vr!   