
    _Mh                         d dl mc mZ ddlmZ ddlmZ ddlmZ  G d d          ZdeiZ	d	 Z
ddZd ZddZd Z edd           dS )    N   )_basic_backend)_realtransforms_backend)_fftlog_backendc                   ,    e Zd ZdZdZe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                     t          t          | j        d           }|t          t          | j        d           }|t          t          | j        d           }|t
          S  ||i |S )N)getattrr   __name__r   r   NotImplemented)methodargskwargsfns       R/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/scipy/fft/_backend.py__ua_function__z_ScipyBackend.__ua_function__   sh     ^V_d;;:0&/4HHB:&/4@@B:!!r4"6"""    N)r   
__module____qualname____doc____ua_domain__staticmethodr    r   r   r   r      s>          &M	# 	# \	# 	# 	#r   r   scipyc                     t          | t                    r4	 t          |          } n%# t          $ r}t	          d|            |d}~ww xY w| j        dk    rt	          d          | S )z8Maps strings to known backends and validates the backendzUnknown backend Nr	   z,Backend does not implement "numpy.scipy.fft")
isinstancestr_named_backendsKeyError
ValueErrorr   )backendes     r   _backend_from_argr$   $   s     '3 B	B%g.GG 	B 	B 	B999::A	B  111GHHHNs   % 
AAAFc                 T    t          |           } t          j        | |||           dS )a,  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 (default is "scipy").
    >>> fft([1])  # Calls the global backend
    array([1.+0.j])
    )coerceonlytry_lastN)r$   uaset_global_backend)r"   r&   r'   r(   s       r   r*   r*   3   s2    P  ((G'&thOOOOOOr   c                 L    t          |           } t          j        |            dS )a  
    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
    # The registered backend is called because
    # the global backend returns `NotImplemented`
    >>> fft([1])
    array([1.+0.j])
    >>> set_global_backend("scipy")  # Restore global backend to default

    N)r$   r)   register_backendr"   s    r   r,   r,   _   s)    H  ((G     r   c                 N    t          |           } t          j        | ||          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'   s      r   r/   r/      s(    8  ((G>'&t<<<<r   c                 H    t          |           } t          j        |           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$   r)   skip_backendr-   s    r   r1   r1      s!    2  ((G?7###r   T)r(   )FFF)FF)scipy._lib.uarray_libuarrayr)    r   r   r   r   r   r$   r*   r,   r/   r1   r   r   r   <module>r6      s                  % % % % % %      # # # # # # # #2 ]
  )P )P )P )PX%! %! %!P= = = =@$ $ $:  7T * * * * * *r   