Viewing file:  test_helper.py (6 KB) -rw-r--r--
Select action/file-type:
 (+) |  (+) |  (+) | Code (+) | Session (+) |  (+) | SDB (+) |  (+) |  (+) |  (+) |  (+) |  (+) |
"""Test functions for fftpack.helper module
Copied from fftpack.helper by Pearu Peterson, October 2005
"""
import numpy as np
from numpy.testing import assert_array_almost_equal
from numpy import fft, pi
class TestFFTShift:
def test_definition(self):
x = [0, 1, 2, 3, 4, -4, -3, -2, -1]
y = [-4, -3, -2, -1, 0, 1, 2, 3, 4]
assert_array_almost_equal(fft.fftshift(x), y)
assert_array_almost_equal(fft.ifftshift(y), x)
x = [0, 1, 2, 3, 4, -5, -4, -3, -2, -1]
y = [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4]
assert_array_almost_equal(fft.fftshift(x), y)
assert_array_almost_equal(fft.ifftshift(y), x)
def test_inverse(self):
for n in [1, 4, 9, 100, 211]:
x = np.random.random((n,))
assert_array_almost_equal(fft.ifftshift(fft.fftshift(x)), x)
def test_axes_keyword(self):
freqs = [[0, 1, 2], [3, 4, -4], [-3, -2, -1]]
shifted = [[-1, -3, -2], [2, 0, 1], [-4, 3, 4]]
assert_array_almost_equal(fft.fftshift(freqs, axes=(0, 1)), shifted)
assert_array_almost_equal(fft.fftshift(freqs, axes=0),
fft.fftshift(freqs, axes=(0,)))
assert_array_almost_equal(fft.ifftshift(shifted, axes=(0, 1)), freqs)
assert_array_almost_equal(fft.ifftshift(shifted, axes=0),
fft.ifftshift(shifted, axes=(0,)))
assert_array_almost_equal(fft.fftshift(freqs), shifted)
assert_array_almost_equal(fft.ifftshift(shifted), freqs)
def test_uneven_dims(self):
""" Test 2D input, which has uneven dimension sizes """
freqs = [
[0, 1],
[2, 3],
[4, 5]
]
# shift in dimension 0
shift_dim0 = [
[4, 5],
[0, 1],
[2, 3]
]
assert_array_almost_equal(fft.fftshift(freqs, axes=0), shift_dim0)
assert_array_almost_equal(fft.ifftshift(shift_dim0, axes=0), freqs)
assert_array_almost_equal(fft.fftshift(freqs, axes=(0,)), shift_dim0)
assert_array_almost_equal(fft.ifftshift(shift_dim0, axes=[0]), freqs)
# shift in dimension 1
shift_dim1 = [
[1, 0],
[3, 2],
[5, 4]
]
assert_array_almost_equal(fft.fftshift(freqs, axes=1), shift_dim1)
assert_array_almost_equal(fft.ifftshift(shift_dim1, axes=1), freqs)
# shift in both dimensions
shift_dim_both = [
[5, 4],
[1, 0],
[3, 2]
]
assert_array_almost_equal(fft.fftshift(freqs, axes=(0, 1)), shift_dim_both)
assert_array_almost_equal(fft.ifftshift(shift_dim_both, axes=(0, 1)), freqs)
assert_array_almost_equal(fft.fftshift(freqs, axes=[0, 1]), shift_dim_both)
assert_array_almost_equal(fft.ifftshift(shift_dim_both, axes=[0, 1]), freqs)
# axes=None (default) shift in all dimensions
assert_array_almost_equal(fft.fftshift(freqs, axes=None), shift_dim_both)
assert_array_almost_equal(fft.ifftshift(shift_dim_both, axes=None), freqs)
assert_array_almost_equal(fft.fftshift(freqs), shift_dim_both)
assert_array_almost_equal(fft.ifftshift(shift_dim_both), freqs)
def test_equal_to_original(self):
""" Test that the new (>=v1.15) implementation (see #10073) is equal to the original (<=v1.14) """
from numpy.core import asarray, concatenate, arange, take
def original_fftshift(x, axes=None):
""" How fftshift was implemented in v1.14"""
tmp = asarray(x)
ndim = tmp.ndim
if axes is None:
axes = list(range(ndim))
elif isinstance(axes, int):
axes = (axes,)
y = tmp
for k in axes:
n = tmp.shape[k]
p2 = (n + 1) // 2
mylist = concatenate((arange(p2, n), arange(p2)))
y = take(y, mylist, k)
return y
def original_ifftshift(x, axes=None):
""" How ifftshift was implemented in v1.14 """
tmp = asarray(x)
ndim = tmp.ndim
if axes is None:
axes = list(range(ndim))
elif isinstance(axes, int):
axes = (axes,)
y = tmp
for k in axes:
n = tmp.shape[k]
p2 = n - (n + 1) // 2
mylist = concatenate((arange(p2, n), arange(p2)))
y = take(y, mylist, k)
return y
# create possible 2d array combinations and try all possible keywords
# compare output to original functions
for i in range(16):
for j in range(16):
for axes_keyword in [0, 1, None, (0,), (0, 1)]:
inp = np.random.rand(i, j)
assert_array_almost_equal(fft.fftshift(inp, axes_keyword),
original_fftshift(inp, axes_keyword))
assert_array_almost_equal(fft.ifftshift(inp, axes_keyword),
original_ifftshift(inp, axes_keyword))
class TestFFTFreq:
def test_definition(self):
x = [0, 1, 2, 3, 4, -4, -3, -2, -1]
assert_array_almost_equal(9*fft.fftfreq(9), x)
assert_array_almost_equal(9*pi*fft.fftfreq(9, pi), x)
x = [0, 1, 2, 3, 4, -5, -4, -3, -2, -1]
assert_array_almost_equal(10*fft.fftfreq(10), x)
assert_array_almost_equal(10*pi*fft.fftfreq(10, pi), x)
class TestRFFTFreq:
def test_definition(self):
x = [0, 1, 2, 3, 4]
assert_array_almost_equal(9*fft.rfftfreq(9), x)
assert_array_almost_equal(9*pi*fft.rfftfreq(9, pi), x)
x = [0, 1, 2, 3, 4, 5]
assert_array_almost_equal(10*fft.rfftfreq(10), x)
assert_array_almost_equal(10*pi*fft.rfftfreq(10, pi), x)
class TestIRFFTN:
def test_not_last_axis_success(self):
ar, ai = np.random.random((2, 16, 8, 32))
a = ar + 1j*ai
axes = (-2,)
# Should not raise error
fft.irfftn(a, axes=axes)
|