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))