def test_resample(self):
raster = 1.33
sigs = [
Signal(
samples=np.arange(1000, dtype='f8'),
timestamps=np.concatenate(
[np.arange(500), np.arange(1000, 1500)]),
name=f'Signal_{i}',
) for i in range(20)
]
mdf = MDF()
mdf.append(sigs)
mdf = mdf.resample(raster=raster)
target_timestamps = np.arange(0, 1500, 1.33)
target_samples = np.concatenate([
np.arange(0, 500, 1.33),
np.linspace(499.00215568862274, 499.9976646706587, 376),
np.arange(500.1600000000001, 1000, 1.33)
])
for i, sig in enumerate(mdf.iter_channels(skip_master=True)):
self.assertTrue(np.array_equal(sig.timestamps, target_timestamps))
self.assertTrue(np.allclose(sig.samples, target_samples))
def test_resample_raster_0(self):
sigs = [
Signal(
samples=np.ones(1000) * i,
timestamps=np.arange(1000),
name=f'Signal_{i}',
) for i in range(20)
]
mdf = MDF()
mdf.append(sigs)
mdf.configure(read_fragment_size=1)
with self.assertRaises(AssertionError):
mdf = mdf.resample(raster=0)
def test_resample_raster_0(self):
sigs = [
Signal(
samples=np.ones(1000) * i,
timestamps=np.arange(1000),
name=f'Signal_{i}',
) for i in range(20)
]
mdf = MDF()
mdf.append(sigs)
mdf.configure(read_fragment_size=1)
mdf = mdf.resample(raster=0)
for i, sig in enumerate(mdf.iter_channels(skip_master=True)):
self.assertTrue(np.array_equal(sig.samples, sigs[i].samples))
self.assertTrue(np.array_equal(sig.timestamps, sigs[i].timestamps))
