U
    -e]                     @   s   d dl mZ d dlZd dlZd dlZd dlZd dlZddlm	Z	 e
 Ze ZdddZdd Zd	d
 Zdd Zdd Zdd Zd d dddZdd Zdd Zejdd Zdd ZdS )    )NumberN   )	good_sizec              
   C   sb   t | tr| f} zdd | D } W n: tk
r\ } z|p:d}td||W 5 d}~X Y nX | S )a  Convert ``x`` to an iterable sequence of int

    Parameters
    ----------
    x : value, or sequence of values, convertible to int
    name : str, optional
        Name of the argument being converted, only used in the error message

    Returns
    -------
    y : ``List[int]``
    c                 S   s   g | ]}t |qS  )operatorindex.0ar   r   \/var/www/html/Darija-Ai-Train/env/lib/python3.8/site-packages/scipy/fft/_pocketfft/helper.py
<listcomp>    s     z$_iterable_of_int.<locals>.<listcomp>valuez+{} must be a scalar or iterable of integersN)
isinstancer   	TypeError
ValueErrorformat)xnameer   r   r   _iterable_of_int   s    
r   c                    s4  |dk}|dk}|sjt |d} fdd|D }t fdd|D rNtdtt|t|krjtd|st |d	}|rt|t|krtd
|rt| jkrtdt jt|  j} fddt||D }n,|rt j	}t j}n fdd|D }tdd |D r,td
|||fS )z2Handles shape and axes arguments for nd transformsNaxesc                    s"   g | ]}|d k r| j  n|qS )r   ndimr   r   r   r   r   0   s     z+_init_nd_shape_and_axes.<locals>.<listcomp>c                 3   s    | ]}| j kp|d k V  qdS )r   Nr   r   r   r   r   	<genexpr>2   s     z*_init_nd_shape_and_axes.<locals>.<genexpr>z$axes exceeds dimensionality of inputzall axes must be uniqueshapezBwhen given, axes and shape arguments have to be of the same lengthz)shape requires more axes than are presentc                    s&   g | ]\}}|d kr j | n|qS )r   )r	   sr
   r   r   r   r   B   s     c                    s   g | ]} j | qS r   r   r   r   r   r   r   G   s     c                 s   s   | ]}|d k V  qdS )r   Nr   )r	   r   r   r   r   r   I   s     -invalid number of data points ({0}) specified)r   anyr   lensetr   rangeziplistr   r   )r   r   r   ZnoshapeZnoaxesr   r   r   _init_nd_shape_and_axes)   s6    


r&   c                 C   sp   t | dst| } | jtjkr.t| tjS | jjdkrHt| tjS | jd}| j	d  }tj
| ||dS )zl
    Convert to array with floating or complex dtype.

    float16 values are also promoted to float32.
    dtypefc=ZALIGNED)r'   copy)hasattrnpZasarrayr'   Zfloat16Zfloat32kindZfloat64Znewbyteorderflagsarray)r   r'   r*   r   r   r   	_asfarrayP   s    

r0   c                 C   s0   | |krdS t |tjs&t|dr&dS | jdkS )z|
    Strict check for `arr` not sharing any data with `original`,
    under the assumption that arr = asarray(original)
    FZ	__array__N)r   r,   Zndarrayr+   base)Zarroriginalr   r   r   _datacopiedd   s
    r3   c           
      C   s   d}t dg| j }t||D ]>\}}| j| |krDt d|||< qt d| j| ||< d}qt|}|sv| | dfS t| j}t||D ]\}}|||< qt|| j}	| | |	|< |	dfS )z5Internal auxiliary function for _raw_fft, _raw_fftnd.FNr   T)	slicer   r$   r   tupler%   r,   Zzerosr'   )
r   r   r   Z	must_copyr   nZaxr   axiszr   r   r   
_fix_shapep   s     

r9   c                 C   s&   |dk rt d|t| |f|fS )Nr   r   )r   r   r9   )r   r6   r7   r   r   r   _fix_shape_1d   s
    r:      )NZbackwardZorthoforwardc                 C   sF   zt |  }|r|nd| W S  tk
r@   td| ddY nX dS )zAReturns the pypocketfft normalization mode from the norm argumentr;   zInvalid norm value z,, should be "backward", "ortho" or "forward"N)	_NORM_MAPKeyErrorr   )Znormr<   Zinormr   r   r   _normalization   s    
r?   c                 C   s\   | d krt tddS | dk rH| t kr4| dt 7 } qXtd| t n| dkrXtd| S )Ndefault_workersr   r   z<workers value out of range; got {}, must not be less than {}zworkers must not be zero)getattr_config
_cpu_countr   r   )workersr   r   r   _workers   s    
 rE   c                 c   s.   t  }tt| t_z
dV  W 5 |t_X dS )a  Context manager for the default number of workers used in `scipy.fft`

    Parameters
    ----------
    workers : int
        The default number of workers to use

    Examples
    --------
    >>> import numpy as np
    >>> from scipy import fft, signal
    >>> rng = np.random.default_rng()
    >>> x = rng.standard_normal((128, 64))
    >>> with fft.set_workers(4):
    ...     y = signal.fftconvolve(x, x)

    N)get_workersrE   r   r   rB   r@   )rD   Zold_workersr   r   r   set_workers   s
    
rG   c                   C   s   t tddS )zReturns the default number of workers within the current context

    Examples
    --------
    >>> from scipy import fft
    >>> fft.get_workers()
    1
    >>> with fft.set_workers(4):
    ...     fft.get_workers()
    4
    r@   r   )rA   rB   r   r   r   r   rF      s    rF   )N)numbersr   r   os	threading
contextlibnumpyr,   Zpypocketfftr   localrB   	cpu_countrC   r   r&   r0   r3   r9   r:   r=   r?   rE   contextmanagerrG   rF   r   r   r   r   <module>   s(   
'
