scipy.fft.
register_backend#
- scipy.fft.register_backend(backend)[source]#
- 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 - strcontaining 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.
 
- ValueError: If the backend does not implement 
 - 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