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from km3io.offline import Reader, OfflineEvents, OfflineHits, OfflineTracks
SAMPLES_DIR = Path(__file__).parent / 'samples'
OFFLINE_FILE = SAMPLES_DIR / 'aanet_v2.0.0.root'
OFFLINE_NUMUCC = SAMPLES_DIR / "numucc.root" # with mc data
def test_repr(self):
reader_repr = repr(self.keys)
# check that there are 106 keys + 5 extra str
self.assertEqual(len(reader_repr.split('\n')), 111)
def test_events_keys(self):
# there are 22 "valid" events keys
self.assertEqual(len(self.keys.events_keys), 22)
self.assertEqual(len(self.keys.cut_events_keys), 22)
def test_hits_keys(self):
# there are 20 "valid" hits keys
self.assertEqual(len(self.keys.hits_keys), 20)
self.assertEqual(len(self.keys.mc_hits_keys), 20)
self.assertEqual(len(self.keys.cut_hits_keys), 20)
def test_tracks_keys(self):
# there are 22 "valid" tracks keys
self.assertEqual(len(self.keys.tracks_keys), 22)
self.assertEqual(len(self.keys.mc_tracks_keys), 22)
self.assertEqual(len(self.keys.cut_tracks_keys), 22)
def test_valid_keys(self):
# there are 106 valid keys: 22*2 + 22 + 20*2
# (fit keys are excluded)
self.assertEqual(len(self.keys.valid_keys), 106)
def test_fit_keys(self):
# there are 18 fit keys
self.assertEqual(len(self.keys.fit_keys), 18)
def test_trigger(self):
# there are 4 trigger keys in v1.1.2 of km3net-Dataformat
trigger = self.keys.trigger
keys = ['JTRIGGER3DSHOWER', 'JTRIGGERMXSHOWER',
'JTRIGGER3DMUON', 'JTRIGGERNB']
values = [1, 2, 4, 5]
for k, v in zip(keys, values):
self.assertEqual(v, trigger[k])
def test_reconstruction(self):
# there are 34 parameters in v1.1.2 of km3net-Dataformat
reco = self.keys.reconstruction
keys = ['JPP_RECONSTRUCTION_TYPE', 'JMUONFIT', 'JMUONBEGIN',
'JMUONPREFIT', 'JMUONSIMPLEX', 'JMUONGANDALF',
'JMUONENERGY', 'JMUONSTART']
values = [4000, 0, 0, 1, 2, 3, 4, 5]
self.assertEqual(34, len([*reco.keys()]))
for k, v in zip(keys, values):
self.assertEqual(v, reco[k])
def test_fitparameters(self):
# there are 18 parameters in v1.1.2 of km3net-Dataformat
fit = self.keys.fitparameters
values = [i for i in range(18)]
self.assertEqual(18, len([*fit.keys()]))
for k, v in fit.items():
self.assertEqual(values[v], fit[k])
self.lengths = {0: 176, 1: 125, -1: 105}
self.total_item_count = 1434
def test_reading_dom_id(self):
self.assertEqual(length, len(dom_ids[event_id]))
self.assertEqual(self.total_item_count, sum(dom_ids.count()))
self.assertListEqual([806451572, 806451572, 806451572],
list(dom_ids[0][:3]))
def test_reading_channel_id(self):
channel_ids = self.r["hits.channel_id"]
self.assertEqual(length, len(channel_ids[event_id]))
self.assertEqual(self.total_item_count, sum(channel_ids.count()))
self.assertListEqual([8, 9, 14], list(channel_ids[0][:3]))
# channel IDs are always between [0, 30]
self.assertTrue(all(c >= 0 for c in channel_ids.min()))
self.assertTrue(all(c < 31 for c in channel_ids.max()))
self.assertEqual(length, len(ts[event_id]))
self.assertEqual(self.total_item_count, sum(ts.count()))
self.assertListEqual([70104010.0, 70104016.0, 70104192.0],
list(ts[0][:3]))
self.assertEqual(len(self.r.keys.valid_keys), 106)
# there are 20 hits keys
self.assertEqual(len(self.r.keys.hits_keys), 20)
self.assertEqual(len(self.r.keys.mc_hits_keys), 20)
# there are 22 tracks keys
self.assertEqual(len(self.r.keys.tracks_keys), 22)
self.assertEqual(len(self.r.keys.mc_tracks_keys), 22)
def test_raising_KeyError(self):
# non valid keys must raise a KeyError
with self.assertRaises(KeyError):
self.r['whatever']
def test_number_events(self):
Nevents = len(self.r)
# check that there are 10 events
self.assertEqual(Nevents, 10)
self.nu = OfflineReader(OFFLINE_NUMUCC)
self.selected_data = OfflineReader(OFFLINE_FILE,
data=self.r._data[0])._data
def test_item_selection(self):
# test class instance with data=None option
self.assertEqual(len(self.selected_data), len(self.r._data[0]))
# test item selection (here we test with hits=176)
self.assertEqual(self.r[0].events.hits, self.selected_data['hits'])
def test_number_events(self):
Nevents = len(self.r)
# check that there are 10 events
self.assertEqual(Nevents, self.Nevents)
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def test_find_empty(self):
fitinf = self.nu.tracks.fitinf
rec_stages = self.nu.tracks.rec_stages
empty_fitinf = np.array([match for match in
self.nu._find_empty(fitinf)])
empty_stages = np.array([match for match in
self.nu._find_empty(rec_stages)])
self.assertListEqual(empty_fitinf[:5, 1].tolist(), [23, 14,
14, 4, None])
self.assertListEqual(empty_stages[:5, 1].tolist(), [False, False,
False, False,
None])
def test_find_rec_stages(self):
stages = np.array([match for match in
self.nu._find_rec_stages([1, 2, 3, 4, 5])])
self.assertListEqual(stages[:5, 1].tolist(), [0, 0, 0, 0, None])
def test_get_reco_fit(self):
JGANDALF_BETA0_RAD = [0.0020367251782607574,
0.003306725805622178,
0.0057877124222254885,
0.015581698352185896]
reco_fit = self.nu.get_reco_fit([1, 2, 3, 4, 5])['JGANDALF_BETA0_RAD']
self.assertListEqual(JGANDALF_BETA0_RAD, reco_fit[:4].tolist())
with self.assertRaises(ValueError):
self.nu.get_reco_fit([1000, 4512, 5625])
def test_get_max_reco_stages(self):
rec_stages = self.nu.tracks.rec_stages
max_reco = self.nu._get_max_reco_stages(rec_stages)
self.assertEqual(len(max_reco.tolist()), 9)
self.assertListEqual(max_reco[0].tolist(), [[1, 2, 3, 4, 5],
5, 0])
def test_best_reco(self):
JGANDALF_BETA1_RAD = [0.0014177681261476852,
0.002094094517471032,
0.003923368624980349,
0.009491461076780453]
best = self.nu.best_reco
self.assertEqual(best.size, 9)
self.assertEqual(best['JGANDALF_BETA1_RAD'][:4].tolist(), JGANDALF_BETA1_RAD)
def test_reading_header(self):
# head is the supported format
head = OfflineReader(OFFLINE_NUMUCC).header
self.assertEqual(float(head['DAQ']), 394)
self.assertEqual(float(head['kcut']), 2)
# test the warning for unsupported fheader format
with self.assertWarns(UserWarning):
self.r.header
self.hits = {0: 176, 1: 125, -1: 105}
self.Nevents = 10
def test_reading_hits(self):
# test item selection
for event_id, hit in self.hits.items():
self.assertEqual(hit, self.events.hits[event_id])
def reading_tracks(self):
self.assertListEqual(list(self.events.trks[:3]), [56, 55, 56])
def test_item_selection(self):
for event_id, hit in self.hits.items():
self.assertEqual(hit, self.events[event_id].hits)
def test_len(self):
self.assertEqual(len(self.events), self.Nevents)
def test_IndexError(self):
# test handling IndexError with empty lists/arrays
self.assertEqual(len(OfflineEvents(['whatever'], [])), 0)
def test_str(self):
self.assertEqual(str(self.events), 'Number of events: 10')
def test_repr(self):
self.assertEqual(repr(self.events),
'<OfflineEvents: 10 parsed events>')
self.assertEqual(repr(self.event).split('\n\t')[0], 'offline event:')
self.assertEqual(
repr(self.event).split('\n\t')[2],
'det_id : 44')
self.lengths = {0: 176, 1: 125, -1: 105}
self.total_item_count = 1434
self.Nevents = 10
def test_item_selection(self):
self.assertListEqual(list(self.hits[0].dom_id[:3]),
[806451572, 806451572, 806451572])
def test_IndexError(self):
# test handling IndexError with empty lists/arrays
self.assertEqual(len(OfflineHits(['whatever'], [])), 0)
self.assertEqual(repr(self.hits), '<OfflineHits: 10 parsed elements>')
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def test_str(self):
self.assertEqual(str(self.hits), 'Number of hits: 10')
def test_reading_dom_id(self):
dom_ids = self.hits.dom_id
for event_id, length in self.lengths.items():
self.assertEqual(length, len(dom_ids[event_id]))
self.assertEqual(self.total_item_count, sum(dom_ids.count()))
self.assertListEqual([806451572, 806451572, 806451572],
list(dom_ids[0][:3]))
def test_reading_channel_id(self):
channel_ids = self.hits.channel_id
for event_id, length in self.lengths.items():
self.assertEqual(length, len(channel_ids[event_id]))
self.assertEqual(self.total_item_count, sum(channel_ids.count()))
self.assertListEqual([8, 9, 14], list(channel_ids[0][:3]))
# channel IDs are always between [0, 30]
self.assertTrue(all(c >= 0 for c in channel_ids.min()))
self.assertTrue(all(c < 31 for c in channel_ids.max()))
def test_reading_times(self):
ts = self.hits.t
for event_id, length in self.lengths.items():
self.assertEqual(length, len(ts[event_id]))
self.assertEqual(self.total_item_count, sum(ts.count()))
self.assertListEqual([70104010.0, 70104016.0, 70104192.0],
list(ts[0][:3]))
def test_reading_mc_pmt_id(self):
pmt_ids = self.r_mc.mc_hits.pmt_id
lengths = {0: 58, 2: 28, -1: 48}
for hit_id, length in lengths.items():
self.assertEqual(length, len(pmt_ids[hit_id]))
self.assertEqual(self.Nevents, len(pmt_ids))
self.assertListEqual([677, 687, 689], list(pmt_ids[0][:3]))
def test_item_selection(self):
self.assertEqual(self.hit[0], self.hit.id)
self.assertEqual(self.hit[1], self.hit.dom_id)
def test_str(self):
self.assertEqual(repr(self.hit).split('\n\t')[0], 'offline hit:')
self.assertEqual(
repr(self.hit).split('\n\t')[2],
'dom_id : 806451572')
self.tracks = OfflineReader(OFFLINE_FILE).tracks
self.r_mc = OfflineReader(OFFLINE_NUMUCC)
self.Nevents = 10
def test_item_selection(self):
self.assertListEqual(list(self.tracks[0].dir_z[:2]),
[-0.872885221293917, -0.872885221293917])
def test_IndexError(self):
# test handling IndexError with empty lists/arrays
self.assertEqual(len(OfflineTracks(['whatever'], [])), 0)
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def test_str(self):
self.assertEqual(str(self.tracks), 'Number of tracks: 10')
def test_reading_tracks_dir_z(self):
dir_z = self.tracks.dir_z
tracks_dir_z = {0: 56, 1: 55, 8: 54}
for track_id, n_dir in tracks_dir_z.items():
self.assertEqual(n_dir, len(dir_z[track_id]))
# check that there are 10 arrays of tracks.dir_z info
self.assertEqual(len(dir_z), self.Nevents)
def test_reading_mc_tracks_dir_z(self):
dir_z = self.r_mc.mc_tracks.dir_z
tracks_dir_z = {0: 11, 1: 25, 8: 13}
for track_id, n_dir in tracks_dir_z.items():
self.assertEqual(n_dir, len(dir_z[track_id]))
# check that there are 10 arrays of tracks.dir_z info
self.assertEqual(len(dir_z), self.Nevents)
self.assertListEqual([0.230189, 0.230189, 0.218663],
list(dir_z[0][:3]))
def test_slicing(self):
tracks = self.tracks
assert 10 == len(tracks)
track_selection = tracks[2:7]
assert 5 == len(track_selection)
track_selection_2 = tracks[1:3]
assert 2 == len(track_selection_2)
for _slice in [
slice(0, 0),
slice(0, 1),
slice(0, 2),
slice(1, 5),
slice(3, -2)
]:
self.assertListEqual(
list(tracks.E[:,0][_slice]),
list(tracks[_slice].E[:,0])
)
self.track = OfflineReader(OFFLINE_FILE)[0].tracks[0]
def test_item_selection(self):
self.assertEqual(self.track[0], self.track.fUniqueID)
self.assertEqual(self.track[10], self.track.E)
def test_str(self):
self.assertEqual(repr(self.track).split('\n\t')[0], 'offline track:')
self.assertTrue("JGANDALF_LAMBDA" in repr(self.track))