# 需要導(dǎo)入模塊: from numpy import core [as 別名]

# 或者: from numpy.core import take [as 別名]

def test_equal_to_original(self):

""" Test that the new (>=v1.15) implementation (see #10073) is equal to the original (<=v1.14) """

from numpy.compat import integer_types

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, integer_types):

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, integer_types):

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))

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