1 files changed, 0 insertions, 96 deletions
diff --git a/silx/math/fft/fft.py b/silx/math/fft/fft.py
deleted file mode 100644
index eb0d73b..0000000
--- a/silx/math/fft/fft.py
+++ /dev/null
@@ -1,96 +0,0 @@
-#!/usr/bin/env python
-# coding: utf-8
-# /*##########################################################################
-#
-# Copyright (c) 2018-2019 European Synchrotron Radiation Facility
-#
-# Permission is hereby granted, free of charge, to any person obtaining a copy
-# of this software and associated documentation files (the "Software"), to deal
-# in the Software without restriction, including without limitation the rights
-# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-# copies of the Software, and to permit persons to whom the Software is
-# furnished to do so, subject to the following conditions:
-#
-# The above copyright notice and this permission notice shall be included in
-# all copies or substantial portions of the Software.
-#
-# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
-# THE SOFTWARE.
-#
-# ###########################################################################*/
-from .fftw import FFTW
-from .clfft import CLFFT
-from .npfft import NPFFT
-from .cufft import CUFFT
-
-
-def FFT(
-    shape=None,
-    dtype=None,
-    template=None,
-    shape_out=None,
-    axes=None,
-    normalize="rescale",
-    backend="numpy",
-    **kwargs
-):
-    """
-    Initialize a FFT plan.
-
-    :param List[int] shape:
-        Shape of the input data.
-    :param numpy.dtype dtype:
-        Data type of the input data.
-    :param numpy.ndarray template:
-        Optional data, replacement for "shape" and "dtype".
-        If provided, the arguments "shape" and "dtype" are ignored,
-        and are instead inferred from it.
-    :param List[int] shape_out:
-        Optional shape of output data.
-        By default, the data has the same shape as the input
-        data (in case of C2C transform), or a shape with the last dimension halved
-        (in case of R2C transform). If shape_out is provided, it must be greater
-        or equal than the shape of input data. In this case, FFT is performed
-        with zero-padding.
-    :param List[int] axes:
-        Axes along which FFT is computed.
-          * For 2D transform: axes=(1,0)
-          * For batched 1D transform of 2D image: axes=(0,)
-    :param str normalize:
-        Whether to normalize FFT and IFFT. Possible values are:
-          * "rescale": in this case, Fourier data is divided by "N"
-            before IFFT, so that (FFT(data)) = data
-          * "ortho": in this case, FFT and IFFT are adjoint of eachother,
-            the transform is unitary. Both FFT and IFFT are scaled with 1/sqrt(N).
-          * "none": no normalizatio is done : IFFT(FFT(data)) = data*N
-    :param str backend:
-        FFT Backend to use. Value can be "numpy", "fftw", "opencl", "cuda".
-    """
-    backends = {
-        "numpy": NPFFT,
-        "np": NPFFT,
-        "fftw": FFTW,
-        "opencl": CLFFT,
-        "clfft": CLFFT,
-        "cuda": CUFFT,
-        "cufft": CUFFT,
-    }
-
-    backend = backend.lower()
-    if backend not in backends:
-        raise ValueError("Unknown backend %s, available are %s" % (backend, backends))
-    F = backends[backend](
-        shape=shape,
-        dtype=dtype,
-        template=template,
-        shape_out=shape_out,
-        axes=axes,
-        normalize=normalize,
-        **kwargs
-    )
-    return F