def test_mean_hologram_value(self):
accumulator = Accumulator()
data = _load_example_data_backgrounds()
for holo in data:
accumulator.push(holo)
numpy_mean = np.mean([holo.values for holo in data], axis=0)
self.assertTrue(np.allclose(numpy_mean, accumulator.mean().values))
def test_mean_hologram_type(self):
import xarray
expected_type = xarray.core.dataarray.DataArray
accumulator = Accumulator()
data = _load_example_data_backgrounds()
for holo in data:
accumulator.push(holo)
self.assertTrue(isinstance(accumulator.mean(), expected_type))
def test_cv(self):
accumulator = Accumulator()
data = np.arange(10)
for point in data:
accumulator.push(point)
self.assertTrue(accumulator.cv() == np.std(data) / np.mean(data))
def test_push_hologram(self):
accumulator = Accumulator()
data = _load_example_data_backgrounds()
for holo in data:
accumulator.push(holo)
self.assertTrue(accumulator._n == 3)
def test_push(self):
accumulator = Accumulator()
data = np.arange(10)
for point in data:
accumulator.push(point)
self.assertTrue(accumulator._n == 10)