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    Hvf                     @   s|   d dl m  mZ ddlmZ ddlmZ G dd dZdeiZdd	 Z	dddZ
dd ZdddZdd Ze
ddd dS )    N   )_fftlog)
_pocketfftc                   @   s    e Zd ZdZdZedd ZdS )_ScipyBackenda-  The default backend for fft calculations

    Notes
    -----
    We use the domain ``numpy.scipy`` rather than ``scipy`` because ``uarray``
    treats the domain as a hierarchy. This means the user can install a single
    backend for ``numpy`` and have it implement ``numpy.scipy.fft`` as well.
    numpy.scipy.fftc                 C   s:   t t| jd }|d kr$t t| jd }|d kr0tS |||S )N)getattrr   __name__r   NotImplemented)methodargskwargsfn r   6/tmp/pip-unpacked-wheel-96ln3f52/scipy/fft/_backend.py__ua_function__   s    z_ScipyBackend.__ua_function__N)r   
__module____qualname____doc____ua_domain__staticmethodr   r   r   r   r   r      s   r   Zscipyc              
   C   s`   t | trJzt|  } W n2 tk
rH } ztd| |W 5 d}~X Y nX | jdkr\td| S )z8Maps strings to known backends and validates the backendzUnknown backend {}Nr   z,Backend does not implement "numpy.scipy.fft")
isinstancestr_named_backendsKeyError
ValueErrorformatr   )backender   r   r   _backend_from_arg!   s    
"
r   Fc                 C   s   t | } tj| |||d dS )a7  Sets the global fft backend

    This utility method replaces the default backend for permanent use. It
    will be tried in the list of backends automatically, unless the
    ``only`` flag is set on a backend. This will be the first tried
    backend outside the :obj:`set_backend` context manager.

    Parameters
    ----------
    backend : {object, 'scipy'}
        The backend to use.
        Can either be a ``str`` containing the name of a known backend
        {'scipy'} or an object that implements the uarray protocol.
    coerce : bool
        Whether to coerce input types when trying this backend.
    only : bool
        If ``True``, no more backends will be tried if this fails.
        Implied by ``coerce=True``.
    try_last : bool
        If ``True``, the global backend is tried after registered backends.

    Raises
    ------
    ValueError: If the backend does not implement ``numpy.scipy.fft``.

    Notes
    -----
    This will overwrite the previously set global backend, which, by default, is
    the SciPy implementation.

    Examples
    --------
    We can set the global fft backend:

    >>> from scipy.fft import fft, set_global_backend
    >>> set_global_backend("scipy")  # Sets global backend. "scipy" is the default backend.
    >>> fft([1])  # Calls the global backend
    array([1.+0.j])
    )coerceonlytry_lastN)r   uaset_global_backend)r   r   r    r!   r   r   r   r#   0   s    (r#   c                 C   s   t | } t|  dS )az  
    Register a backend for permanent use.

    Registered backends have the lowest priority and will be tried after the
    global backend.

    Parameters
    ----------
    backend : {object, 'scipy'}
        The backend to use.
        Can either be a ``str`` containing the name of a known backend
        {'scipy'} or an object that implements the uarray protocol.

    Raises
    ------
    ValueError: If the backend does not implement ``numpy.scipy.fft``.

    Examples
    --------
    We can register a new fft backend:

    >>> from scipy.fft import fft, register_backend, set_global_backend
    >>> class NoopBackend:  # Define an invalid Backend
    ...     __ua_domain__ = "numpy.scipy.fft"
    ...     def __ua_function__(self, func, args, kwargs):
    ...          return NotImplemented
    >>> set_global_backend(NoopBackend())  # Set the invalid backend as global
    >>> register_backend("scipy")  # Register a new backend
    >>> fft([1])  # The registered backend is called because the global backend returns `NotImplemented`
    array([1.+0.j])
    >>> set_global_backend("scipy")  # Restore global backend to default

    N)r   r"   register_backendr   r   r   r   r$   \   s    "r$   c                 C   s   t | } tj| ||dS )aO  Context manager to set the backend within a fixed scope.

    Upon entering the ``with`` statement, the given backend will be added to
    the list of available backends with the highest priority. Upon exit, the
    backend is reset to the state before entering the scope.

    Parameters
    ----------
    backend : {object, 'scipy'}
        The backend to use.
        Can either be a ``str`` containing the name of a known backend
        {'scipy'} or an object that implements the uarray protocol.
    coerce : bool, optional
        Whether to allow expensive conversions for the ``x`` parameter. e.g.,
        copying a NumPy array to the GPU for a CuPy backend. Implies ``only``.
    only : bool, optional
        If only is ``True`` and this backend returns ``NotImplemented``, then a
        BackendNotImplemented error will be raised immediately. Ignoring any
        lower priority backends.

    Examples
    --------
    >>> import scipy.fft as fft
    >>> with fft.set_backend('scipy', only=True):
    ...     fft.fft([1])  # Always calls the scipy implementation
    array([1.+0.j])
    )r   r    )r   r"   set_backend)r   r   r    r   r   r   r&      s    r&   c                 C   s   t | } t| S )a  Context manager to skip a backend within a fixed scope.

    Within the context of a ``with`` statement, the given backend will not be
    called. This covers backends registered both locally and globally. Upon
    exit, the backend will again be considered.

    Parameters
    ----------
    backend : {object, 'scipy'}
        The backend to skip.
        Can either be a ``str`` containing the name of a known backend
        {'scipy'} or an object that implements the uarray protocol.

    Examples
    --------
    >>> import scipy.fft as fft
    >>> fft.fft([1])  # Calls default SciPy backend
    array([1.+0.j])
    >>> with fft.skip_backend('scipy'):  # We explicitly skip the SciPy backend
    ...     fft.fft([1])                 # leaving no implementation available
    Traceback (most recent call last):
        ...
    BackendNotImplementedError: No selected backends had an implementation ...
    )r   r"   skip_backendr%   r   r   r   r'      s    r'   T)r!   )FFF)FF)Zscipy._lib.uarrayZ_libZuarrayr"    r   r   r   r   r   r#   r$   r&   r'   r   r   r   r   <module>   s    
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