def test_write_container(temp_h5_file):
r0tel = R0CameraContainer()
mc = MCEventContainer()
mc.reset()
r0tel.adc_samples = np.random.uniform(size=(50, 10))
r0tel.adc_sums = np.random.uniform(size=50)
r0tel.num_samples = 10
r0tel.meta['test_attribute'] = 3.14159
r0tel.meta['date'] = "2020-10-10"
writer = HDF5TableWriter(str(temp_h5_file), group_name='R0',
filters=tables.Filters(
complevel=7))
writer.exclude("tel_002",".*samples") # test exclusion of columns
for ii in range(100):
r0tel.adc_samples[:] = np.random.uniform(size=(50, 10))
r0tel.adc_sums[:] = np.random.uniform(size=50)
r0tel.num_samples = 10
mc.energy = 10**np.random.uniform(1,2) * u.TeV
mc.core_x = np.random.uniform(-1, 1) * u.m
mc.core_y = np.random.uniform(-1, 1) * u.m
writer.write("tel_001", r0tel)
writer.write("tel_002", r0tel) # write a second table too
writer.write("MC", mc)
def test_write_container(temp_h5_file):
r0tel = R0CameraContainer()
mc = MCEventContainer()
mc.reset()
r0tel.adc_samples = np.random.uniform(size=(50, 10))
r0tel.adc_sums = np.random.uniform(size=50)
r0tel.num_samples = 10
r0tel.meta['test_attribute'] = 3.14159
r0tel.meta['date'] = "2020-10-10"
writer = HDF5TableWriter(str(temp_h5_file),
group_name='R0',
filters=tables.Filters(complevel=7))
writer.exclude("tel_002", ".*samples") # test exclusion of columns
for ii in range(100):
r0tel.adc_samples[:] = np.random.uniform(size=(50, 10))
r0tel.adc_sums[:] = np.random.uniform(size=50)
r0tel.num_samples = 10
mc.energy = 10**np.random.uniform(1, 2) * u.TeV
mc.core_x = np.random.uniform(-1, 1) * u.m
mc.core_y = np.random.uniform(-1, 1) * u.m
writer.write("tel_001", r0tel)
writer.write("tel_002", r0tel) # write a second table too
writer.write("MC", mc)
def test_write_container(temp_h5_file):
r0tel = R0CameraContainer()
mc = MCEventContainer()
mc.reset()
r0tel.waveform = np.random.uniform(size=(50, 10))
r0tel.meta["test_attribute"] = 3.14159
r0tel.meta["date"] = "2020-10-10"
with HDF5TableWriter(temp_h5_file,
group_name="R0",
filters=tables.Filters(complevel=7)) as writer:
writer.exclude("tel_002", ".*samples") # test exclusion of columns
for ii in range(100):
r0tel.waveform[:] = np.random.uniform(size=(50, 10))
mc.energy = 10**np.random.uniform(1, 2) * u.TeV
mc.core_x = np.random.uniform(-1, 1) * u.m
mc.core_y = np.random.uniform(-1, 1) * u.m
writer.write("tel_001", r0tel)
writer.write("tel_002", r0tel) # write a second table too
writer.write("MC", mc)
