def test_unnormalized_1D():
x = np.random.randn(128) + 1j * np.random.randn(128)
z = _fftn(x, axes=(0, ), shift=0, inplace=False)
x2 = _ifftn(z, axes=(0, ), shift=0, inplace=False, normalize=False)
yield npt.assert_almost_equal(np.linalg.norm(x2),
np.linalg.norm(x) * len(x))
z = _fftn(x, axes=(0, ), shift=1, inplace=False, normalize=False)
x2 = _ifftn(z, axes=(0, ), shift=1, inplace=False, normalize=False)
yield npt.assert_almost_equal(np.linalg.norm(x2),
np.linalg.norm(x) * len(x))
def test_unnormalized_1D():
x = np.random.randn(128) + 1j*np.random.randn(128)
z = _fftn(x, axes=(0,), shift=0, inplace=False)
x2 = _ifftn(z, axes=(0,), shift=0, inplace=False, normalize=False)
yield npt.assert_almost_equal(
np.linalg.norm(x2), np.linalg.norm(x)*len(x)
)
z = _fftn(x, axes=(0,), shift=1, inplace=False, normalize=False)
x2 = _ifftn(z, axes=(0,), shift=1, inplace=False, normalize=False)
yield npt.assert_almost_equal(
np.linalg.norm(x2), np.linalg.norm(x)*len(x)
)
def test_simple_multi_fft_1_D():
shift = 1
dt = 'D'
c = np.outer(np.ones(64), ref_1D_32hz(shift, dt))
c2 = c.copy()
ct = c.copy().T
ct2 = c.copy().T
_fftn(c, axes=(-1, ), inplace=True, shift=shift)
_fftn(ct, axes=(0, ), inplace=True, shift=shift)
c_np = reference_fftn(c2, axes=(-1, ), shift=shift)
ct_np = reference_fftn(ct2, axes=(0, ), shift=shift)
yield sum_of_sqr_comp(c, c_np, 'total energy not equal')
yield sum_of_sqr_comp(ct, ct_np, 'total energy not equal')
def test_simple_multi_fft_1_D():
shift = 1
dt = 'D'
c = np.outer(np.ones(64), ref_1D_32hz(shift, dt))
c2 = c.copy()
ct = c.copy().T
ct2 = c.copy().T
_fftn(c, axes=(-1,), inplace=True, shift=shift)
_fftn(ct, axes=(0,), inplace=True, shift=shift)
c_np = reference_fftn(c2, axes=(-1,), shift=shift)
ct_np = reference_fftn(ct2, axes=(0,), shift=shift)
yield sum_of_sqr_comp(c, c_np, 'total energy not equal')
yield sum_of_sqr_comp(ct, ct_np, 'total energy not equal')
def test_strided_1d_fft_1_D():
shift = 1
dt = 'D'
rand_3d = (np.random.randn(40, 50, 60) + \
1j*np.random.randn(40, 50, 60)).astype(dt)
r1 = rand_3d.copy().transpose(0, 2, 1)
r1_2 = rand_3d.copy().transpose(0, 2, 1)
r2 = rand_3d.copy().transpose(1, 0, 2)
r2_2 = rand_3d.copy().transpose(1, 0, 2)
_fftn(r1, axes=(0, ), inplace=True, shift=shift)
_fftn(r2, axes=(1, ), inplace=True, shift=shift)
r1_np = reference_fftn(r1_2, axes=(0, ), shift=shift)
r2_np = reference_fftn(r2_2, axes=(1, ), shift=shift)
yield sum_of_sqr_comp(r1, r1_np, 'axis0 dtype=' + dt)
yield sum_of_sqr_comp(r2, r2_np, 'axis1 dtype=' + dt)
def test_strided_1d_fft_1_D():
shift = 1
dt = 'D'
rand_3d = (np.random.randn(40, 50, 60) + \
1j*np.random.randn(40, 50, 60)).astype(dt)
r1 = rand_3d.copy().transpose(0,2,1)
r1_2 = rand_3d.copy().transpose(0,2,1)
r2 = rand_3d.copy().transpose(1,0,2)
r2_2 = rand_3d.copy().transpose(1,0,2)
_fftn(r1, axes=(0,), inplace=True, shift=shift)
_fftn(r2, axes=(1,), inplace=True, shift=shift)
r1_np = reference_fftn(r1_2, axes=(0,), shift=shift)
r2_np = reference_fftn(r2_2, axes=(1,), shift=shift)
yield sum_of_sqr_comp(r1, r1_np, 'axis0 dtype='+dt)
yield sum_of_sqr_comp(r2, r2_np, 'axis1 dtype='+dt)
def test_roundtrip_inplace_1_D():
shift = 1
dt = 'D'
grid = np.arange(128)
mu = 43.
stdv = 3.
g = (np.exp(-(grid - mu)**2 / (2 * stdv**2)) /
(2 * np.pi * stdv**2)).astype(dt)
g2 = g.copy()
g_bkp = g.copy()
_fftn(g, inplace=True, shift=shift)
gw_np = reference_fftn(g2, shift=shift, axes=(0, ))
yield npt.assert_array_almost_equal(
g, gw_np, err_msg='differs from numpy fft ref, shift=%d' % shift)
yield sum_of_sqr_comp(g, gw_np)
_ifftn(g, inplace=True, shift=shift)
yield npt.assert_array_almost_equal(
g_bkp, g, err_msg='roundtrip transforms diverge, shift=%d' % shift)
yield sum_of_sqr_comp(g_bkp, g)
def test_roundtrip_inplace_1_D():
shift = 1
dt = 'D'
grid = np.arange(128)
mu = 43.
stdv = 3.
g = (np.exp(-(grid-mu)**2 / (2*stdv**2)) / (2*np.pi*stdv**2)).astype(dt)
g2 = g.copy()
g_bkp = g.copy()
_fftn(g, inplace=True, shift=shift)
gw_np = reference_fftn(g2, shift=shift, axes=(0,))
yield npt.assert_array_almost_equal(
g, gw_np, err_msg='differs from numpy fft ref, shift=%d'%shift
)
yield sum_of_sqr_comp(g, gw_np)
_ifftn(g, inplace=True, shift=shift)
yield npt.assert_array_almost_equal(
g_bkp, g, err_msg='roundtrip transforms diverge, shift=%d'%shift
)
yield sum_of_sqr_comp(g_bkp, g)
def _get_2D_fft(shift, dt):
c = ref_2D_grating(shift, dt)
c2 = c.copy()
_fftn(c, axes=(0, 1), shift=shift, inplace=True)
c_np = reference_fftn(c2, axes=(0, 1), shift=shift)
return c, c_np
def _get_1D_fft(shift, dt):
c = ref_1D_32hz(shift, dt)
c2 = c.copy()
_fftn(c, axes=(0, ), shift=shift, inplace=True)
c_np = reference_fftn(c2, axes=(0, ), shift=shift)
return c, c_np
def _get_2D_fft(shift, dt):
c = ref_2D_grating(shift, dt)
c2 = c.copy()
_fftn(c, axes=(0,1), shift=shift, inplace=True)
c_np = reference_fftn(c2, axes=(0,1), shift=shift)
return c, c_np
def _get_1D_fft(shift, dt):
c = ref_1D_32hz(shift, dt)
c2 = c.copy()
_fftn(c, axes=(0,), shift=shift, inplace=True)
c_np = reference_fftn(c2, axes=(0,), shift=shift)
return c, c_np
