1 files changed, 0 insertions, 146 deletions
diff --git a/silx/math/fft/basefft.py b/silx/math/fft/basefft.py
deleted file mode 100644
index 854ca37..0000000
--- a/silx/math/fft/basefft.py
+++ /dev/null
@@ -1,146 +0,0 @@
-#!/usr/bin/env python
-# coding: utf-8
-# /*##########################################################################
-#
-# Copyright (c) 2018 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.
-#
-# ###########################################################################*/
-import numpy as np
-from pkg_resources import parse_version
-
-
-def check_version(package, required_version):
-    """
-    Check whether a given package version is superior or equal to required_version.
-    """
-    try:
-        ver = getattr(package, "__version__")
-    except AttributeError:
-        try:
-            ver = getattr(package, "version")
-        except Exception:
-            return False
-    req_v = parse_version(required_version)
-    ver_v = parse_version(ver)
-    return ver_v >= req_v
-
-
-class BaseFFT(object):
-    """
-    Base class for all FFT backends.
-    """
-    def __init__(self, **kwargs):
-        self.__get_args(**kwargs)
-
-        if self.shape is None and self.dtype is None and self.template is None:
-            raise ValueError("Please provide either (shape and dtype) or template")
-        if self.template is not None:
-            self.shape = self.template.shape
-            self.dtype = self.template.dtype
-        self.user_data = self.template
-        self.data_allocated = False
-        self.__calc_axes()
-        self.__set_dtypes()
-        self.__calc_shape()
-
-    def __get_args(self, **kwargs):
-        expected_args = {
-            "shape": None,
-            "dtype": None,
-            "template": None,
-            "shape_out": None,
-            "axes": None,
-            "normalize": "rescale",
-        }
-        for arg_name, default_val in expected_args.items():
-            if arg_name not in kwargs:
-                # Base class was not instantiated properly
-                raise ValueError("Please provide argument %s" % arg_name)
-            setattr(self, arg_name, default_val)
-        for arg_name, arg_val in kwargs.items():
-            setattr(self, arg_name, arg_val)
-
-    def __set_dtypes(self):
-        dtypes_mapping = {
-            np.dtype("float32"): np.complex64,
-            np.dtype("float64"): np.complex128,
-            np.dtype("complex64"): np.complex64,
-            np.dtype("complex128"): np.complex128
-        }
-        dp = {
-            np.dtype("float32"): np.float64,
-            np.dtype("complex64"): np.complex128
-        }
-        self.dtype_in = np.dtype(self.dtype)
-        if self.dtype_in not in dtypes_mapping:
-            raise ValueError("Invalid input data type: got %s" %
-                self.dtype_in
-            )
-        self.dtype_out = dtypes_mapping[self.dtype_in]
-
-    def __calc_shape(self):
-        # TODO allow for C2C even for real input data (?)
-        if self.dtype_in in [np.float32, np.float64]:
-            last_dim = self.shape[-1]//2 + 1
-            # FFTW convention
-            self.shape_out = self.shape[:-1] + (self.shape[-1]//2 + 1,)
-        else:
-            self.shape_out = self.shape
-
-    def __calc_axes(self):
-        default_axes = tuple(range(len(self.shape)))
-        if self.axes is None:
-            self.axes = default_axes
-            self.user_axes = None
-        else:
-            self.user_axes = self.axes
-            # Handle possibly negative axes
-            self.axes = tuple(np.array(default_axes)[np.array(self.user_axes)])
-
-    def _allocate(self, shape, dtype):
-        raise ValueError("This should be implemented by back-end FFT")
-
-    def set_data(self, dst, src, shape, dtype, copy=True):
-        raise ValueError("This should be implemented by back-end FFT")
-
-    def allocate_arrays(self):
-        if not(self.data_allocated):
-            self.data_in = self._allocate(self.shape, self.dtype_in)
-            self.data_out = self._allocate(self.shape_out, self.dtype_out)
-            self.data_allocated = True
-
-    def set_input_data(self, data, copy=True):
-        if data is None:
-            return self.data_in
-        else:
-            return self.set_data(self.data_in, data, self.shape, self.dtype_in, copy=copy, name="data_in")
-
-    def set_output_data(self, data, copy=True):
-        if data is None:
-            return self.data_out
-        else:
-            return self.set_data(self.data_out, data, self.shape_out, self.dtype_out, copy=copy, name="data_out")
-
-    def fft(self, array, **kwargs):
-        raise ValueError("This should be implemented by back-end FFT")
-
-    def ifft(self, array, **kwargs):
-        raise ValueError("This should be implemented by back-end FFT")