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a z[yc˃ � @ sX d dl Z d dlZd dlZd dlZd dlZd dlZd dlmZmZm Z d dl m Z d dl m Z mZmZ d dlZg d�Zdd� Zdd � ZG d d � d �Zd d � Zdd� Zdd� Zdd� Zd1dd�Zdd� Zda da d2dd�Z d3dd �Z e d�d4d d ��Z e d�ej!fd d!��Z"i Z#e�$d"ej%�Z&e d�d5d%d&��Z'd'd(� Z(d)d*� Z)d+d,� Z*d-d.� Z+d/d0� Z,dS )6� N)� issubclass_� issubsctype� issubdtype)� set_module)�ndarray�ufunc�asarray) r r r � deprecate�deprecate_with_doc� get_include�info�source�who�lookfor� byte_bounds� safe_evalc C sV ddl } | jdu r.tj�tj�| j�dd�}n$ddlm} tj�tj�|j�d�}|S )a� Return the directory that contains the NumPy \*.h header files. Extension modules that need to compile against NumPy should use this function to locate the appropriate include directory. Notes ----- When using ``distutils``, for example in ``setup.py``:: import numpy as np ... Extension('extension_name', ... include_dirs=[np.get_include()]) ... r N�coreZinclude) �numpyZ show_config�os�path�join�dirname�__file__� numpy.corer )r �dr � r �5/usr/lib64/python3.9/site-packages/numpy/lib/utils.pyr s r c C s || _ | S �N)�__name__)�func�namer r r �_set_function_name0 s r! c @ s" e Zd ZdZddd�Zdd� ZdS )� _Deprecatez� Decorator class to deprecate old functions. Refer to `deprecate` for details. See Also -------- deprecate Nc C s || _ || _|| _d S r )�old_name�new_name�message)�selfr# r$ r% r r r �__init__A s z_Deprecate.__init__c sz | j }| j}| j}|du r>z �j}W n ty< �j}Y n0 |du rPd| � n d||f � |durp� d| 7 � � �fdd�}t||�}�j}|du r�� }n�|�� �d�} t | dd� �} | d � � r�| d | }nRt | d �d } | dd� D ](} t | �| k�r �q| t | �d 7 } q�|| d� }t � � d | �� d �� |g�}||_z �j} W n t�yh Y n0 |j�| � |S ) z: Decorator call. Refer to ``decorate``. Nz`%s` is deprecated!z%`%s` is deprecated, use `%s` instead!� c s t j� tdd� �| i |��S )z1`arrayrange` is deprecated, use `arange` instead!� )� stacklevel)�warnings�warn�DeprecationWarning)�args�kwds�Zdepdocr r r �newfunc] s z$_Deprecate.__call__.<locals>.newfunc� r � z )r# r$ r% r �AttributeErrorr! �__doc__� expandtabs�split� _get_indent�lstrip�len�textwrap�indentr �__dict__�update)r& r r. �kwargsr# r$ r% r1 �doc�linesr< �skip�liner r r0 r �__call__F sN � z_Deprecate.__call__)NNN)r � __module__� __qualname__r5 r' rD r r r r r" 5 s r" c C sD t j}| D ]&}t|�� �}|r t|t|�| �}q |t jkr@d}|S )zU Determines the leading whitespace that could be removed from all the lines. r )�sys�maxsizer: r9 �min)rA r< rC Zcontentr r r r8 � s r8 c O s< | r*| d }| dd� } t | i |��|�S t | i |��S dS )a� Issues a DeprecationWarning, adds warning to `old_name`'s docstring, rebinds ``old_name.__name__`` and returns the new function object. This function may also be used as a decorator. Parameters ---------- func : function The function to be deprecated. old_name : str, optional The name of the function to be deprecated. Default is None, in which case the name of `func` is used. new_name : str, optional The new name for the function. Default is None, in which case the deprecation message is that `old_name` is deprecated. If given, the deprecation message is that `old_name` is deprecated and `new_name` should be used instead. message : str, optional Additional explanation of the deprecation. Displayed in the docstring after the warning. Returns ------- old_func : function The deprecated function. Examples -------- Note that ``olduint`` returns a value after printing Deprecation Warning: >>> olduint = np.deprecate(np.uint) DeprecationWarning: `uint64` is deprecated! # may vary >>> olduint(6) 6 r r2 N�r" )r. r? �fnr r r r � s , r c C s t | d�S )a� Deprecates a function and includes the deprecation in its docstring. This function is used as a decorator. It returns an object that can be used to issue a DeprecationWarning, by passing the to-be decorated function as argument, this adds warning to the to-be decorated function's docstring and returns the new function object. See Also -------- deprecate : Decorate a function such that it issues a `DeprecationWarning` Parameters ---------- msg : str Additional explanation of the deprecation. Displayed in the docstring after the warning. Returns ------- obj : object )r% rJ )�msgr r r r � s r c C s� | j }|d d }|d }|d }t| �jj}| }}|du rN|| j| 7 }nFt||�D ]2\}} | dk rz||d | 7 }qX||d | 7 }qX||7 }||fS )a# Returns pointers to the end-points of an array. Parameters ---------- a : ndarray Input array. It must conform to the Python-side of the array interface. Returns ------- (low, high) : tuple of 2 integers The first integer is the first byte of the array, the second integer is just past the last byte of the array. If `a` is not contiguous it will not use every byte between the (`low`, `high`) values. Examples -------- >>> I = np.eye(2, dtype='f'); I.dtype dtype('float32') >>> low, high = np.byte_bounds(I) >>> high - low == I.size*I.itemsize True >>> I = np.eye(2); I.dtype dtype('float64') >>> low, high = np.byte_bounds(I) >>> high - low == I.size*I.itemsize True �datar �strides�shapeNr2 )Z__array_interface__r �dtype�itemsize�size�zip) �aZaiZa_dataZastridesZashapeZbytes_aZa_lowZa_highrO Zstrider r r r � s r c C s$ | du rt �� j}|j} g }i }| �� D ]�}t| | t�r(| | }t|�}||�� v rl|d|| }d}n|||< |}d}d�t t |j ��} t |j �} |� || | |jj|g� q(d} d} d} d}|D ]t}| t|d �k r�t|d �} | t|d �k �rt|d �} | t|d �k �r"t|d �} |d r�|t|d �7 }q�t|�dk�r�td| �}td| �}td| �}d |d |d |d f }t|d d t|�d d � |D ]l}td|d d |t|d � d |d d |t|d � d |d d |t|d � d |d f � �q�td| � dS )a% Print the NumPy arrays in the given dictionary. If there is no dictionary passed in or `vardict` is None then returns NumPy arrays in the globals() dictionary (all NumPy arrays in the namespace). Parameters ---------- vardict : dict, optional A dictionary possibly containing ndarrays. Default is globals(). Returns ------- out : None Returns 'None'. Notes ----- Prints out the name, shape, bytes and type of all of the ndarrays present in `vardict`. Examples -------- >>> a = np.arange(10) >>> b = np.ones(20) >>> np.who() Name Shape Bytes Type =========================================================== a 10 80 int64 b 20 160 float64 Upper bound on total bytes = 240 >>> d = {'x': np.arange(2.0), 'y': np.arange(3.0), 'txt': 'Some str', ... 'idx':5} >>> np.who(d) Name Shape Bytes Type =========================================================== x 2 16 float64 y 3 24 float64 Upper bound on total bytes = 40 Nz (%s)r r2 z x r) � � z Name %s Shape %s Bytes %s Typer3 r( �=� z%s %s %s %s %s %s %s� z' Upper bound on total bytes = %d)rG � _getframe�f_back� f_globals�keys� isinstancer �idr �map�strrO �nbytes�appendrP r r: �int�max�print)Zvardict�frameZsta�cacher �varZidv�namestr�originalZshapestrZbytestrZmaxnameZmaxshapeZmaxbyteZ totalbytes�valZsp1Zsp2Zsp3Zprvalr r r r s^ , � � r c C s� t | �}|}| }d}|�|�}|D ]h}||kr4d} n|} |t |� t | � }||kr~|d t |� }|d d|d | }q"|| | }q"|S )Nz, � r2 z, r3 r) )r: r7 ) r � arguments�widthZ firstwidth�kZnewstrZsepstrZarglist�argumentZaddstrr r r � _split_line� s rr r c C s� t | t� t� g �} | j| ji}| jg}| jg}t|�dkr<q�|�d�}|�� D ]L}t|| t j �rN|| j}||vrN|| j}|� |� |� |� |||< qNq.||fS )Nr ) � __import__�globals�localsr r= r: �popr] r^ �types� ModuleTyperc )�moduleZthedictZdictlistZ totraverseZthisdict�x�modnameZmoddictr r r � _makenamedict� s r| c C s� d}d}dd� }t | dt| ��}t |d|�}| j}| jj}|du rHtj}td||d� td | j|d� td ||d� td | j |d� td || j j �|d� td || j j �|d� td| j j |d� tdt| jjj�|f |d� tdd|d� |dv �rtd|tj|f |d� d} nH|dk�r@td||f |d� tjdk} n td||f |d� tjdk} td|| �|d� td | j |d� dS ) aO Provide information about ndarray obj. Parameters ---------- obj : ndarray Must be ndarray, not checked. output Where printed output goes. Notes ----- Copied over from the numarray module prior to its removal. Adapted somewhat as only numpy is an option now. Called by info. rm c S s | S r r )rz r r r �<lambda>� � z_info.<locals>.<lambda>� __class__r Nzclass: ��filezshape: z strides: z itemsize: z aligned: z contiguous: z fortran: zdata pointer: %s%sz byteorder: r3 )�endr� )�|rW z%s%s%sF�>z%sbig%s�bigz %slittle%s�littlez byteswap: ztype: %s)�getattr�typerN rP � byteorderrG �stdoutrf rO rQ �flagsZaligned� contiguousZfortran�hexZctypesZ_as_parameter_�value) �obj�outputZextraZticZbp�clsZnmrN ZendianZbyteswapr r r �_info� s> � r� �L c C sX ddl }ddl}t| d�s$t| d�r,| j} nt| d�r<| j} |du rJtj}| du r^tt� �n�t| t �rxt | |d� �n�t| t ��r\t du r�t |�\a ad}g }tD ]�}zlt | | } t| �|v r�td| |d� n6|�t| �� td | |d� t| � td | |d� |d 7 }W q� t�y( Y q�0 q�|dk�rHtd | |d� ntd | |d� �n�|�| ��st|�| ��r�| j} zt |�| ��} W n t�y� d} Y n0 t| | �|k�r�t| | |�} n| | } td| d |d� t|�| �|d� �n\|�| ��r6| j} zt |�| ��} W n t�y4 d} Y n0 t| | �|k�rVt| | |�} n| | } td| d |d� |�| �} | du �r�t| d��r�t|�| j �|d� nt|�| �|d� |� | �}dd� |D �}|�rTtd|d� |D ]J}t | |d�}|du�r |� |�|��pd�\}}td||f |d� �q�n t| d��rTt|�| �|d� dS )a� Get help information for a function, class, or module. Parameters ---------- object : object or str, optional Input object or name to get information about. If `object` is a numpy object, its docstring is given. If it is a string, available modules are searched for matching objects. If None, information about `info` itself is returned. maxwidth : int, optional Printing width. output : file like object, optional File like object that the output is written to, default is ``None``, in which case ``sys.stdout`` will be used. The object has to be opened in 'w' or 'a' mode. toplevel : str, optional Start search at this level. See Also -------- source, lookfor Notes ----- When used interactively with an object, ``np.info(obj)`` is equivalent to ``help(obj)`` on the Python prompt or ``obj?`` on the IPython prompt. Examples -------- >>> np.info(np.polyval) # doctest: +SKIP polyval(p, x) Evaluate the polynomial p at x. ... When using a string for `object` it is possible to get multiple results. >>> np.info('fft') # doctest: +SKIP *** Found in numpy *** Core FFT routines ... *** Found in numpy.fft *** fft(a, n=None, axis=-1) ... *** Repeat reference found in numpy.fft.fftpack *** *** Total of 3 references found. *** r NZ_ppimport_importer�_ppimport_module�_ppimport_attr)r� z+ *** Repeat reference found in %s *** r� z *** Found in %s ***�-r2 zHelp for %s not found.z+ *** Total of %d references found. ***z()r3 r( r' c S s g | ]}|d dkr|�qS )r �_r )�.0�methr r r � <listcomp>l r~ zinfo.<locals>.<listcomp>z Methods: �Nonez %s -- %sr5 ) �pydoc�inspect�hasattrr� r� rG r� r r^ r r� ra � _namedictr| � _dictlistr_ rf rc �KeyErrorZ isfunctionZismethodr Z signature� Exceptionr: rr �getdoc�isclassr' Z allmethodsr� Zsplitdoc)�objectZmaxwidthr� Ztoplevelr� r� ZnumfoundZobjlistrj r� r rn ZargstrZdoc1�methodsZpublic_methodsr� ZthisobjZmethstr�otherr r r r � s� 5 � �� �� � r c C sX ddl }z,td|�| � |d� t|�| �|d� W n tyR td|d� Y n0 dS )a� Print or write to a file the source code for a NumPy object. The source code is only returned for objects written in Python. Many functions and classes are defined in C and will therefore not return useful information. Parameters ---------- object : numpy object Input object. This can be any object (function, class, module, ...). output : file object, optional If `output` not supplied then source code is printed to screen (sys.stdout). File object must be created with either write 'w' or append 'a' modes. See Also -------- lookfor, info Examples -------- >>> np.source(np.interp) #doctest: +SKIP In file: /usr/lib/python2.6/dist-packages/numpy/lib/function_base.py def interp(x, xp, fp, left=None, right=None): """.... (full docstring printed)""" if isinstance(x, (float, int, number)): return compiled_interp([x], xp, fp, left, right).item() else: return compiled_interp(x, xp, fp, left, right) The source code is only returned for objects written in Python. >>> np.source(np.array) #doctest: +SKIP Not available for this object. r Nz In file: %s r� z Not available for this object.)r� rf Z getsourcefileZ getsourcer� )r� r� r� r r r r { s ) r z[a-z0-9_]+\(.*[,=].*\)TFc s� ddl }t|||�� g }t| ��� �� ��s0dS � �� D ]@\}\}} } | dv rPq8|�� �t�fdd��D ��r8|�|� q8ddddd����fd d ��� �fd d �} |j| d � dd� �� } | dt | � g} |ddd� D ]~}� | \�} }dd� �� � �d�D �}z(|d � � }t � |��r,|d � � }W n t�yF d}Y n0 | �d||f � q�|�sl| �d� |du�r�|�d� | �� n4t | �dk�r�|�� }|d� | �� ntd� | �� dS )a� Do a keyword search on docstrings. A list of objects that matched the search is displayed, sorted by relevance. All given keywords need to be found in the docstring for it to be returned as a result, but the order does not matter. Parameters ---------- what : str String containing words to look for. module : str or list, optional Name of module(s) whose docstrings to go through. import_modules : bool, optional Whether to import sub-modules in packages. Default is True. regenerate : bool, optional Whether to re-generate the docstring cache. Default is False. output : file-like, optional File-like object to write the output to. If omitted, use a pager. See Also -------- source, info Notes ----- Relevance is determined only roughly, by checking if the keywords occur in the function name, at the start of a docstring, etc. Examples -------- >>> np.lookfor('binary representation') # doctest: +SKIP Search results for 'binary representation' ------------------------------------------ numpy.binary_repr Return the binary representation of the input number as a string. numpy.core.setup_common.long_double_representation Given a binary dump as given by GNU od -b, look for long double numpy.base_repr Return a string representation of a number in the given base system. ... r N)ry r� c 3 s | ]}|� v V qd S r r �r� �w)r@ r r � <genexpr>� r~ zlookfor.<locals>.<genexpr>i� ����)r �classry r� c s� d}d� |�� �� �d�d d� �� |t� fdd��D ��7 }|t�fdd��D ��7 }|t�� d 7 }|��|d�7 }|��d � d 7 }|t| d d �7 }|S ) Nr r( rY c s g | ]}|� v rd �qS )�� r r� )� first_docr r r� r~ z.lookfor.<locals>.relevance.<locals>.<listcomp>c s g | ]}|� v rd �qS )� r r� )r r r r� r~ rX r� �.rV �d i����) r �lower�stripr7 �sumr: �get�countre )r Zdocstr�kind�index�r)�kind_relevance�whats)r� r r � relevance s zlookfor.<locals>.relevancec s �| g� | �R � S r r )rT )rh r� r r �relevance_value s z lookfor.<locals>.relevance_value)�keyzSearch results for '%s'r3 r� ���c S s g | ]}|� � r|� � �qS r )r� )r� rC r r r r� s �zlookfor.<locals>.<listcomp>r( r2 rm z %s %szNothing found.rV )r� �_lookfor_generate_cachera r� r7 �items�allrc �sortr r: r� �_function_signature_re�search� IndexError�writeZgetpagerrf )Zwhatry �import_modules� regenerater� r� �foundr Z docstringr� r� r� �s� help_textZixZdoclinesr� Zpagerr )rh r@ r� r� r� r r � sL / � r c C s� ddl }ddlm} | du r d} t| t�rZz t| � W n tyL i Y S 0 tj| } n8t| t �snt| t �r�i }| D ]}|� t |||�� qv|S t | �tv r�|s�tt | � S i }|tt | �< i }d}| j| fg} | �r�| �d�\} } t | �|v r�q�d|t | �< |d7 }d} |�| ��r:d} z | j} W n t�y> d} Y n0 |�r`t| d ��r`| jD �]}t�|�D ]�}tj�||�}tj�||d �}tj�|��r�|�d ��r�|dd � }ntj�|��rh|}n�qh|d k�rؐqhzPtj }tj }z0|� t_ |� t_ td| |f � W |t_ |t_ n|t_ |t_ 0 W n. t �y> � Y n t �yV Y �qhY n0 �qh�qXt | �D ]�\}}z$t!|dd| |f �}t!|dd�}W n$ t"�y� d| |f }d}Y n0 d|v�r�|�r�d||f }|�#| d ��s�t|t$��rhn�qhn$|�|��s | du �s || v �s �qh| �%d| |f |f� �qhnL|�&| ��rvd} t | �D ] \}}| �%d| |f |f� �qRnt| d��r�d} z|�'| �}W n t"�y� d}Y n0 |dur�|| |f|| < q�|S )a� Generate docstring cache for given module. Parameters ---------- module : str, None, module Module for which to generate docstring cache import_modules : bool Whether to import sub-modules in packages. regenerate : bool Re-generate the docstring cache Returns ------- cache : dict {obj_full_name: (docstring, kind, index), ...} Docstring cache for the module, either cached one (regenerate=False) or newly generated. r N)�StringIOr Tr2 r� ry �__path__z __init__.pyz.py���r' z%s.%sr rE r� r� rD r )(r� �ior� r^ ra rs � ImportErrorrG �modules�list�tupler> r� r_ �_lookfor_cachesr rv Zismodule�__all__r4 r� r� r �listdirr r �isfile�endswithr� �stderr�KeyboardInterrupt� BaseException� _getmembersr� � NameError� startswithr rc r� r� )ry r� r� r� r� rh �mod�seenr� �stackr �itemr� Z_allZpthZmod_pathZthis_pyZinit_pyZ to_importZ old_stdoutZ old_stderr�n�vZ item_name�mod_namer@ r r r r� 2 s� � � � r� c sD dd l }z|�� �}W n( ty> � fdd�t� �D �}Y n0 |S )Nr c s$ g | ] }t � |�r|t� |�f�qS r )r� r� )r� rz �r� r r r� � s �z _getmembers.<locals>.<listcomp>)r� Z getmembersr� �dir)r� r� �membersr r� r r� � s r� c C s ddl }|�| �S )au Protected string evaluation. Evaluate a string containing a Python literal expression without allowing the execution of arbitrary non-literal code. .. warning:: This function is identical to :py:meth:`ast.literal_eval` and has the same security implications. It may not always be safe to evaluate large input strings. Parameters ---------- source : str The string to evaluate. Returns ------- obj : object The result of evaluating `source`. Raises ------ SyntaxError If the code has invalid Python syntax, or if it contains non-literal code. Examples -------- >>> np.safe_eval('1') 1 >>> np.safe_eval('[1, 2, 3]') [1, 2, 3] >>> np.safe_eval('{"foo": ("bar", 10.0)}') {'foo': ('bar', 10.0)} >>> np.safe_eval('import os') Traceback (most recent call last): ... SyntaxError: invalid syntax >>> np.safe_eval('open("/home/user/.ssh/id_dsa").read()') Traceback (most recent call last): ... ValueError: malformed node or string: <_ast.Call object at 0x...> r N)�astZ literal_eval)r r� r r r r � s 2r c C sr | j dkr|S t�| jd|d��}tj�|�r8|�d�}t�|�� �dkrnt |tj �rd| j � tj �S tj ||< |S )a{ Utility function to check median result from data for NaN values at the end and return NaN in that case. Input result can also be a MaskedArray. Parameters ---------- data : array Sorted input data to median function result : Array or MaskedArray Result of median function. axis : int Axis along which the median was computed. Returns ------- result : scalar or ndarray Median or NaN in axes which contained NaN in the input. If the input was an array, NaN will be inserted in-place. If a scalar, either the input itself or a scalar NaN. r r� )�axisF)rR �npZisnanZtakeZmaZ isMaskedArrayZfilledZ count_nonzeroZravelr^ ZgenericrP r� �nan)rM �resultr� r� r r r �_median_nancheck� s r� c C sr ddl m} m}m} t|�dkr0t|�dkr0dS d�|�}|D ].}| | r\|d|� d�7 }q>|d|� d�7 }q>|S )a� Returns a string contains the supported CPU features by the current build. The string format can be explained as follows: - dispatched features that are supported by the running machine end with `*`. - dispatched features that are "not" supported by the running machine end with `?`. - remained features are representing the baseline. r )�__cpu_features__�__cpu_baseline__�__cpu_dispatch__rm r3 �*�?)Z numpy.core._multiarray_umathr� r� r� r: r )r� r� r� Zenabled_featuresZfeaturer r r � _opt_info! s r� )N)r )N)Nr� Nr )NTFN)-r rG r; rw �rer+ Znumpy.core.numerictypesr r r Znumpy.core.overridesr r r r r r r� r� r r! r" r8 r r r r rr r� r� r| r� r r� r r� �compile�Ir� r r� r� r r� r� r r r r �<module> sP L5 9 g 6 3 � { 6$
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