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Commit c3ccddf7 authored by Daniel Guderian's avatar Daniel Guderian
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created extra file for extractor test

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1 merge request!11Resolve "mc_info_extractor for neutrino reco chain"
This commit is part of merge request !11. Comments created here will be created in the context of that merge request.
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tests/test_core.py
+ 1
− 154
View file @ c3ccddf7
......@@ -14,8 +14,6 @@ __author__ = 'Stefan Reck'
test_dir = os.path.dirname(os.path.realpath(__file__))
MUPAGE_FILE = os.path.join(test_dir, "data", "mupage.root.h5")
DET_FILE = os.path.join(test_dir, "data", "KM3NeT_-00000001_20171212.detx")
NEUTRINO_FILE = os.path.join(test_dir, "data", "neutrino_file.h5")
DET_FILE_NEUTRINO = os.path.join(test_dir, "data", "neutrino_detector_file.detx")
class TestFileBinner(TestCase):
""" Assert that the filebinner still produces the same output. """
......@@ -141,158 +139,7 @@ class TestFileGraph(TestCase):
}
for k, v in target.items():
np.testing.assert_equal(y[k], v)
class TestStdRecoExtractor(TestCase):
""" Assert that the neutrino info is extracted correctly File has 18 events. """
@classmethod
def setUpClass(cls):
cls.proc = orcasong.core.FileGraph(
max_n_hits=3,
time_window=[0, 50],
hit_infos=["pos_z", "time", "channel_id"],
mc_info_extr=orcasong.mc_info_extr.get_neutrino_mc_info_extr(NEUTRINO_FILE),
det_file=DET_FILE_NEUTRINO,
add_t0=True,
)
cls.tmpdir = tempfile.TemporaryDirectory()
cls.outfile = os.path.join(cls.tmpdir.name, "binned.h5")
cls.proc.run(infile=NEUTRINO_FILE, outfile=cls.outfile)
cls.f = h5py.File(cls.outfile, "r")
@classmethod
def tearDownClass(cls):
cls.f.close()
cls.tmpdir.cleanup()
def test_keys(self):
self.assertSetEqual(set(self.f.keys()), {
'_i_event_info', '_i_group_info', '_i_y',
'event_info', 'group_info', 'x', 'x_indices', 'y'})
def test_y(self):
y = self.f["y"][()]
target = {
'weight_w2': np.array([29650.0,
297100.0,
41450.0,
371400.0,
1101000000.0,
2757000.0,
15280000.0,
262800000.0,
22590.0,
24240.0,
80030.0,
3018000.0,
120600.0,
872200.0,
50440000.0,
21540.0,
42170.0,
25230.0]),
'n_gen': np.array([60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0]),
'dir_z': np.array([-0.896549,
-0.835252,
0.300461,
0.108997,
0.128445,
-0.543621,
-0.23205,
-0.297228,
0.694932,
0.73835,
-0.007682,
0.437847,
-0.126804,
0.153432,
-0.263229,
0.820217,
0.452473,
0.294217]),
'is_cc': np.array([2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0]),
'std_dir_z': np.array([-0.923199825369434,
-0.6422689266782661,
0.38853917922036363,
-0.16690804339142448,
-0.01584853496341109,
-0.10151549881670698,
-0.0409694104272829,
-0.32964369874021787,
-0.3294926806601529,
0.6524241250799204,
-0.3899574246450216,
0.27872277417339086,
0.0019490791409933206,
0.20341370281708737,
-0.15739475718286297,
0.8040250543935723,
0.08772622550043882,
-0.7766722433951796]),
'std_energy': np.array([4.7187625606210775,
4.169818842606011,
1.0056373761749966,
5.908597073055873,
12.409377607517195,
7.566695371401163,
1.3546775620239864,
2.659528737837978,
1.0056373761749966,
2.1968321463948755,
1.4821714294894754,
10.135831333340658,
2.6003934443336765,
1.4492149732348223,
71.69167874147956,
8.094744120333358,
3.148088080484504,
1.0056373761749966]),
}
for k, v in target.items():
np.testing.assert_equal(y[k], v)
......
tests/test_extractor.py 0 → 100644
+ 185
− 0
View file @ c3ccddf7
import os
from unittest import TestCase
import tempfile
import numpy as np
import h5py
import orcasong.core
import orcasong.mc_info_extr
from orcasong.plotting.plot_binstats import read_hists_from_h5file
__author__ = 'Daniel Guderian'
test_dir = os.path.dirname(os.path.realpath(__file__))
NEUTRINO_FILE = os.path.join(test_dir, "data", "neutrino_file.h5")
DET_FILE_NEUTRINO = os.path.join(test_dir, "data", "neutrino_detector_file.detx")
class TestStdRecoExtractor(TestCase):
""" Assert that the neutrino info is extracted correctly File has 18 events. """
@classmethod
def setUpClass(cls):
cls.proc = orcasong.core.FileGraph(
max_n_hits=3,
time_window=[0, 50],
hit_infos=["pos_z", "time", "channel_id"],
mc_info_extr=orcasong.mc_info_extr.get_neutrino_mc_info_extr(NEUTRINO_FILE),
det_file=DET_FILE_NEUTRINO,
add_t0=True,
)
cls.tmpdir = tempfile.TemporaryDirectory()
cls.outfile = os.path.join(cls.tmpdir.name, "binned.h5")
cls.proc.run(infile=NEUTRINO_FILE, outfile=cls.outfile)
cls.f = h5py.File(cls.outfile, "r")
@classmethod
def tearDownClass(cls):
cls.f.close()
cls.tmpdir.cleanup()
def test_keys(self):
self.assertSetEqual(set(self.f.keys()), {
'_i_event_info', '_i_group_info', '_i_y',
'event_info', 'group_info', 'x', 'x_indices', 'y'})
def test_y(self):
y = self.f["y"][()]
target = {
'weight_w2': np.array([29650.0,
297100.0,
41450.0,
371400.0,
1101000000.0,
2757000.0,
15280000.0,
262800000.0,
22590.0,
24240.0,
80030.0,
3018000.0,
120600.0,
872200.0,
50440000.0,
21540.0,
42170.0,
25230.0]),
'n_gen': np.array([60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0,
60000.0]),
'dir_z': np.array([-0.896549,
-0.835252,
0.300461,
0.108997,
0.128445,
-0.543621,
-0.23205,
-0.297228,
0.694932,
0.73835,
-0.007682,
0.437847,
-0.126804,
0.153432,
-0.263229,
0.820217,
0.452473,
0.294217]),
'is_cc': np.array([2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0,
2.0]),
'std_dir_z': np.array([-0.923199825369434,
-0.6422689266782661,
0.38853917922036363,
-0.16690804339142448,
-0.01584853496341109,
-0.10151549881670698,
-0.0409694104272829,
-0.32964369874021787,
-0.3294926806601529,
0.6524241250799204,
-0.3899574246450216,
0.27872277417339086,
0.0019490791409933206,
0.20341370281708737,
-0.15739475718286297,
0.8040250543935723,
0.08772622550043882,
-0.7766722433951796]),
'std_energy': np.array([4.7187625606210775,
4.169818842606011,
1.0056373761749966,
5.908597073055873,
12.409377607517195,
7.566695371401163,
1.3546775620239864,
2.659528737837978,
1.0056373761749966,
2.1968321463948755,
1.4821714294894754,
10.135831333340658,
2.6003934443336765,
1.4492149732348223,
71.69167874147956,
8.094744120333358,
3.148088080484504,
1.0056373761749966]),
}
for k, v in target.items():
np.testing.assert_equal(y[k], v)
\ No newline at end of file
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