ó
    pñ:i�  ã                   óŠ   • S SK Js  Jr  SSKJr  SSKJr  SSKJr   " S S5      rS\0r	S	 r
SS
 jrS rSS jrS r\" SSS9  g)é    Né   )Ú_basic_backend)Ú_realtransforms_backend)Ú_fftlog_backendc                   ó,   • \ rS rSrSrSr\S 5       rSrg)Ú_ScipyBackendé   a  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.
únumpy.scipy.fftc                 óÒ   • [        [        U R                  S 5      nUc  [        [        U R                  S 5      nUc  [        [        U R                  S 5      nUc  [
        $ U" U0 UD6$ )N)Úgetattrr   Ú__name__r   r   ÚNotImplemented)ÚmethodÚargsÚkwargsÚfns       ÚU/srv/projetos/modelo_ml_acdoc/venv/lib/python3.13/site-packages/scipy/fft/_backend.pyÚ__ua_function__Ú_ScipyBackend.__ua_function__   s`   € ô ”^ V§_¡_°dÓ;ˆØ‰:ÜÔ0°&·/±/À4ÓHˆBØ‰:Üœ¨&¯/©/¸4Ó@ˆBØ‰:Ü!Ð!Ù�4Ð"˜6Ñ"Ð"ó    © N)	r   Ú
__module__Ú__qualname__Ú__firstlineno__Ú__doc__Ú__ua_domain__Ústaticmethodr   Ú__static_attributes__r   r   r   r   r      s    † ñð &€Màñ	#ó ó	#r   r   Úscipyc                 ó¼   • [        U [        5      (       a
   [        U    n U R
                  S:w  a  [	        S5      eU $ ! [         a  n[	        SU  35      UeSnAff = f)z8Maps strings to known backends and validates the backendzUnknown backend Nr
   z,Backend does not implement "numpy.scipy.fft")Ú
isinstanceÚstrÚ_named_backendsÚKeyErrorÚ
ValueErrorr   )ÚbackendÚes     r   Ú_backend_from_argr(   $   sl   € ô �'œ3×Ñð	BÜ% gÑ.ˆGð ×ÑÐ 1Ó1ÜÐGÓHÐHà€Nøô ó 	BÜÐ/°¨yÐ9Ó:ÀÐAûð	Bús   —	= ½
AÁAÁAc                 óD   • [        U 5      n [        R                  " XX#S9  g)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])
)ÚcoerceÚonlyÚtry_lastN)r(   ÚuaÚset_global_backend)r&   r*   r+   r,   s       r   r.   r.   3   s   € ôP   Ó(€GÜ×Ò˜'°tÓOr   c                 óF   • [        U 5      n [        R                  " U 5        g)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-   Úregister_backend©r&   s    r   r0   r0   _   s   € ôH   Ó(€GÜ×Ò˜Õ r   c                 óB   • [        U 5      n [        R                  " XUS9$ )aó  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-   Úset_backend)r&   r*   r+   s      r   r3   r3   ‡   s   € ô8   Ó(€GÜ�>Š>˜'°tÑ<Ð<r   c                 óD   • [        U 5      n [        R                  " U 5      $ )aB  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-   Úskip_backendr1   s    r   r5   r5   §   s   € ô2   Ó(€GÜ�?Š?˜7Ó#Ð#r   T)r,   )FFF)FF)Úscipy._lib.uarrayÚ_libÚuarrayr-   Ú r   r   r   r   r#   r(   r.   r0   r3   r5   r   r   r   Ú<module>r:      sU   ðß Ð Ý Ý %Ý ÷#ñ #ð2 ˆ]ð€ò
ô)PòX%!ôP=ò@$ñ: �7 TÓ *r   