def test_array_to_df_and_make_sliders():
dtype = (straxen.veto_events.veto_event_dtype() +
straxen.veto_events.veto_event_positions_dtype()[2:])
evt = np.zeros(1, dtype)
nvd = nVETOEventDisplay(pmt_map=_dummy_map)
df = straxen.convert_array_to_df(evt)
nvd._make_sliders_and_tables(df)
def test_plot_nveto_pattern():
hit = np.zeros(1, dtype=strax.hit_dtype)
hit['channel'] = 2000
hit['area'] = 1
nvd = nVETOEventDisplay(pmt_map=_dummy_map)
pmt_plot = nvd.plot_nveto(hitlets=hit)
with TemporaryDirectory() as d:
# Have to store plot to make sure it is rendered
hv.save(pmt_plot, os.path.join(d, 'hitlet_matrix.html'))
def test_hitlet_matrix():
hit = np.zeros(1, dtype=strax.hit_dtype)
hit['time'] = 10
hit['length'] = 2
hit['dt'] = 1
hit['channel'] = 2000
hit['area'] = 1
nvd = nVETOEventDisplay(pmt_map=_dummy_map)
hit_m = nvd.plot_hitlet_matrix(hitlets=hit)
with TemporaryDirectory() as d:
# Have to store plot to make sure it is rendered
hv.save(hit_m, os.path.join(d, 'hitlet_matrix.html'))
def test_hitlets_to_hv_points():
hit = np.zeros(1, dtype=strax.hit_dtype)
hit['time'] = 10
hit['length'] = 2
hit['dt'] = 1
hit['channel'] = 2000
hit['area'] = 1
nvd = nVETOEventDisplay(pmt_map=_dummy_map)
points = nvd.hitlets_to_hv_points(hit, t_ref=0)
m = [hit[key] == points.data[key] for key in hit.dtype.names if
key in points.data.columns.values]
assert np.all(m), 'Data has not been converted corretly into hv.Points.'
def test_nveto_event_display():
hit = np.zeros(1, dtype=strax.hit_dtype)
hit['time'] = 10
hit['length'] = 2
hit['dt'] = 1
hit['channel'] = 2000
hit['area'] = 1
dtype = straxen.veto_events.veto_event_dtype()
dtype += straxen.veto_events.veto_event_positions_dtype()[2:]
event = np.zeros(1, dtype=dtype)
event['time'] = hit['time']
event['endtime'] = hit['time'] + 40
event['area'] = hit['area']
nvd = nVETOEventDisplay(event, hit, pmt_map=_dummy_map, run_id='014986')
dispaly = nvd.plot_event_display()
with TemporaryDirectory() as d:
# Have to store plot to make sure it is rendered
pn.io.save.save(dispaly, os.path.join(d, 'hitlet_matrix.html'))