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# Copyright 2012 Knowledge Economy Developments Ltd
#
# Henry Gomersall
# heng@kedevelopments.co.uk
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
from pyfftw.interfaces import scipy_fftpack
import pyfftw
import numpy
import scipy
import scipy.fftpack
import scipy.signal
import unittest
from .test_pyfftw_base import run_test_suites
'''pyfftw.interfaces.scipy_fftpack just wraps pyfftw.interfaces.numpy_fft.
All the tests here just check that the call is made correctly.
'''
funcs = ('fft','ifft', 'fft2', 'ifft2', 'fftn', 'ifftn',
'rfft', 'irfft')
acquired_names = ('dct', 'idct', 'diff', 'tilbert', 'itilbert', 'hilbert',
'ihilbert', 'cs_diff', 'sc_diff', 'ss_diff', 'cc_diff', 'shift',
'fftshift', 'ifftshift', 'fftfreq', 'rfftfreq', 'convolve',
'_fftpack')
def numpy_fft_replacement(a, s, axes, overwrite_input, planner_effort,
threads, auto_align_input, auto_contiguous):
return (a, s, axes, overwrite_input, planner_effort,
threads, auto_align_input, auto_contiguous)
class InterfacesScipyFFTPackTestFFT(unittest.TestCase):
''' A really simple test suite to check simple implementation.
'''
def test_scipy_overwrite(self):
scipy_fftn = scipy.signal.signaltools.fftn
scipy_ifftn = scipy.signal.signaltools.ifftn
a = pyfftw.n_byte_align_empty((128, 64), 16, dtype='complex128')
b = pyfftw.n_byte_align_empty((128, 64), 16, dtype='complex128')
a[:] = (numpy.random.randn(*a.shape) +
1j*numpy.random.randn(*a.shape))
b[:] = (numpy.random.randn(*b.shape) +
1j*numpy.random.randn(*b.shape))
scipy_c = scipy.signal.fftconvolve(a, b)
scipy.signal.signaltools.fftn = scipy_fftpack.fftn
scipy.signal.signaltools.ifftn = scipy_fftpack.ifftn
scipy_replaced_c = scipy.signal.fftconvolve(a, b)
self.assertTrue(numpy.allclose(scipy_c, scipy_replaced_c))
scipy.signal.signaltools.fftn = scipy_fftn
scipy.signal.signaltools.ifftn = scipy_ifftn
def test_funcs(self):
for each_func in funcs:
func_being_replaced = getattr(scipy_fftpack, each_func)
#create args (8 of them)
args = []
for n in range(8):
args.append(object())
args = tuple(args)
try:
setattr(scipy_fftpack, each_func,
numpy_fft_replacement)
return_args = getattr(scipy_fftpack, each_func)(*args)
for n, each_arg in enumerate(args):
# Check that what comes back is what is sent
# (which it should be)
self.assertIs(each_arg, return_args[n])
except:
raise
finally:
setattr(scipy_fftpack, each_func,
func_being_replaced)
def test_acquired_names(self):
for each_name in acquired_names:
fftpack_attr = getattr(scipy.fftpack, each_name)
acquired_attr = getattr(scipy_fftpack, each_name)
self.assertIs(fftpack_attr, acquired_attr)
test_cases = (
InterfacesScipyFFTPackTestFFT,)
test_set = None
if __name__ == '__main__':
run_test_suites(test_cases, test_set)
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