class SaveTests(unittest.TestCase):
def setUp(self):
self.s = Signal()
self.x = np.array([0, 1, 2, 3])
self.y = np.array([0, 1, 0, -1])
self.s.load_nparray([0, 1, 0, -1], 'signal', 'm', 1)
self.s.fft()
self.s.freq_filter_Hilbert_complex()
self.s.ifft()
self.s.f.attrs['two'] = 2 # test attribute to verify attrs copied
self.f_dst = h5py.File('.test2.h5', backing_store=False, driver='core')
def test_save_pass_list_datasets(self):
self.s.save(self.f_dst, ['x', 'y'])
assert_array_equal(self.f_dst['x'][:], self.x)
assert_array_equal(self.f_dst['y'][:], self.y)
self.assertEqual(self.f_dst.attrs['two'], 2)
def test_save_pass_string(self):
self.s.save(self.f_dst, 'input')
assert_array_equal(self.f_dst['x'][:], self.x[:])
assert_array_equal(self.f_dst['y'][:], self.y)
self.assertEqual(self.f_dst.attrs['two'], 2)
def tearDown(self):
self.f_dst.close()
self.s.close()
class SaveTests(unittest.TestCase):
def setUp(self):
self.s = Signal()
self.x = np.array([0, 1, 2, 3])
self.y = np.array([0, 1, 0, -1])
self.s.load_nparray([0, 1, 0, -1], 'signal', 'm', 1)
self.s.fft()
self.s.freq_filter_Hilbert_complex()
self.s.ifft()
self.s.f.attrs['two'] = 2 # test attribute to verify attrs copied
self.f_dst = h5py.File('.test2.h5', backing_store=False, driver='core')
def test_save_pass_list_datasets(self):
self.s.save(self.f_dst, ['x', 'y'])
assert_array_equal(self.f_dst['x'][:], self.x)
assert_array_equal(self.f_dst['y'][:], self.y)
self.assertEqual(self.f_dst.attrs['two'], 2)
def test_save_pass_string(self):
self.s.save(self.f_dst, 'input')
assert_array_equal(self.f_dst['x'][:], self.x[:])
assert_array_equal(self.f_dst['y'][:], self.y)
self.assertEqual(self.f_dst.attrs['two'], 2)
def tearDown(self):
self.f_dst.close()
self.s.close()
class FFTTests(unittest.TestCase):
def setUp(self):
"""
Create an trial *Signal* object
"""
fd = 50.0E3 # digitization frequency
f0 = 5.00E3 # signal frequency
nt = 512 # number of signal points
self.dt = dt = 1/fd
t = dt*np.arange(nt)
s = 1.0*np.sin(2*np.pi*f0*t)
self.s = Signal('.FFTTests_1.h5')
self.s.load_nparray(s,"x","nm",dt)
self.s.time_mask_binarate("middle")
self.s.time_window_cyclicize(10*dt)
self.s.fft()
self.s.freq_filter_Hilbert_complex()
def testfft_1(self):
"""FFT: test that the resulting data is complex"""
first_point = self.s.f['workup/freq/FT'][0]
self.assertEqual(isinstance(first_point, complex),True)
def testfft_2(self):
"""FFT: test that the complex Hilbert transform filter is real"""
first_point = self.s.f['workup/freq/filter/Hc'][0]
self.assertEqual(isinstance(first_point, complex),False)
def testfft_3(self):
"""FFT: test the complex Hilbert transform filter near freq = 0"""
freq = self.s.f['workup/freq/freq'][:]
index = np.roll(freq == 0,-1) + np.roll(freq == 0,0) + np.roll(freq == 0,1)
filt = self.s.f['workup/freq/filter/Hc'][index]
self.assertTrue(np.allclose(filt,np.array([0, 1, 2])))
def test_phase_fit_rounding(self):
self.s.ifft()
# T_chunk_goal set to cause problem due to incorrect rounding
T_chunk_goal = self.dt*26
self.s.fit_phase(T_chunk_goal)
def tearDown(self):
"""Close the h5 files before the next iteration."""
try:
self.s.f.close()
except:
pass
class FFTTests(unittest.TestCase):
def setUp(self):
"""
Create an trial *Signal* object
"""
fd = 50.0E3 # digitization frequency
f0 = 5.00E3 # signal frequency
nt = 512 # number of signal points
self.dt = dt = 1 / fd
t = dt * np.arange(nt)
s = 1.0 * np.sin(2 * np.pi * f0 * t)
self.s = Signal('.FFTTests_1.h5')
self.s.load_nparray(s, "x", "nm", dt)
self.s.time_mask_binarate("middle")
self.s.time_window_cyclicize(10 * dt)
self.s.fft()
self.s.freq_filter_Hilbert_complex()
def testfft_1(self):
"""FFT: test that the resulting data is complex"""
first_point = self.s.f['workup/freq/FT'][0]
self.assertEqual(isinstance(first_point, complex), True)
def testfft_2(self):
"""FFT: test that the complex Hilbert transform filter is real"""
first_point = self.s.f['workup/freq/filter/Hc'][0]
self.assertEqual(isinstance(first_point, complex), False)
def testfft_3(self):
"""FFT: test the complex Hilbert transform filter near freq = 0"""
freq = self.s.f['workup/freq/freq'][:]
index = np.roll(freq == 0, -1) + np.roll(freq == 0, 0) + np.roll(
freq == 0, 1)
filt = self.s.f['workup/freq/filter/Hc'][index]
self.assertTrue(np.allclose(filt, np.array([0, 1, 2])))
def test_phase_fit_rounding(self):
self.s.ifft()
# T_chunk_goal set to cause problem due to incorrect rounding
T_chunk_goal = self.dt * 26
self.s.fit_phase(T_chunk_goal)
def tearDown(self):
"""Close the h5 files before the next iteration."""
try:
self.s.f.close()
except:
pass
class FFTOddPoints(unittest.TestCase):
def setUp(self):
self.x = np.array([0, 1, 0, -1, 0, 1, 0, -1, 0])
self.s = Signal()
self.s.load_nparray(self.x, 'x', 'nm', 1)
def test_ifft_odd_pts(self):
self.s.fft()
self.s.ifft()
x_ifft_fft = self.s.f['workup/time/z'][:]
x = self.x
# Should give x back to within numerical rounding errors
assert_allclose(x.real, x_ifft_fft.real, atol=1e-15)
assert_allclose(x.imag, x_ifft_fft.imag, atol=1e-15)
def tearDown(self):
self.s.close()
class FFTOddPoints(unittest.TestCase):
def setUp(self):
self.x = np.array([0, 1, 0, -1, 0, 1, 0, -1, 0])
self.s = Signal()
self.s.load_nparray(self.x, 'x', 'nm', 1)
def test_ifft_odd_pts(self):
self.s.fft()
self.s.ifft()
x_ifft_fft = self.s.f['workup/time/z'][:]
x = self.x
# Should give x back to within numerical rounding errors
assert_allclose(x.real, x_ifft_fft.real, atol=1e-15)
assert_allclose(x.imag, x_ifft_fft.imag, atol=1e-15)
def tearDown(self):
self.s.close()