Newer
Older
from unittest import TestCase
import numpy as np
import orcasong.modules as modules
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")
class TestModules(TestCase):
def test_mc_info_maker(self):
""" Test the mcinfo maker on some dummy data. """
Daniel Guderian
committed
def extractor(blob):
hits = blob["Hits"]
return {"dom_id_0": hits.dom_id[0],
"time_2": hits.time[2]}
in_blob = {
'dom_id': [2, 3, 3],
'channel_id': [0, 1, 2],
'time': [10.1, 11.2, 12.3]
})
}
module = modules.McInfoMaker(
Daniel Guderian
committed
extractor=extractor, store_as="test")
out_blob = module.process(in_blob)
self.assertSequenceEqual(list(out_blob.keys()), ["Hits", "test"])
self.assertSequenceEqual(list(out_blob["test"].dtype.names),
('dom_id_0', 'time_2'))
np.testing.assert_array_equal(out_blob["test"]["dom_id_0"],
np.testing.assert_array_equal(out_blob["test"]["time_2"],
np.array([12.3, ], dtype="float64"))
def test_mc_info_maker_dtype(self):
""" Test the mcinfo maker on some dummy data. """
Daniel Guderian
committed
def extractor(blob):
hits = blob["Hits"]
return {"dom_id_0": hits.dom_id[0],
"time_2": hits.time[2]}
in_blob = {
'dom_id': np.array([2, 3, 3], dtype="int8"),
'time': np.array([10.1, 11.2, 12.3], dtype="float32"),
})
}
module = modules.McInfoMaker(
Daniel Guderian
committed
extractor=extractor, store_as="test", to_float64=False)
out_blob = module.process(in_blob)
np.testing.assert_array_equal(
out_blob["test"]["dom_id_0"], np.array([2, ], dtype="int8"))
np.testing.assert_array_equal(
out_blob["test"]["time_2"], np.array([12.3, ], dtype="float32"))
def test_event_skipper(self):
def event_skipper(blob):
module = modules.EventSkipper(event_skipper=event_skipper)
self.assertEqual(module.process({"a": 42}), None)
self.assertEqual(module.process({"a": 25}), {"a": 25})
class TestTimePreproc(TestCase):
def setUp(self):
self.in_blob = {
'time': [1., 2., 3.],
"t0": [0.1, 0.2, 0.3],
"triggered": [0, 1, 1],
})
}
self.in_blob_mc = {
'time': [1., 2., 3.],
"t0": [0.1, 0.2, 0.3],
"triggered": [0, 1, 1],
}),
'time': [1., 2., 3.],
"t0": [0.1, 0.2, 0.3],
"triggered": [0, 1, 1],
})
}
def test_time_preproc_t0(self):
module = modules.TimePreproc(
add_t0=True, center_time=False)
target = {
'time': [1.1, 2.2, 3.3],
"t0": [0.1, 0.2, 0.3],
"triggered": [0, 1, 1],
})
}
out_blob = module.process(self.in_blob)
self.assertSetEqual(set(out_blob.keys()), set(target.keys()))
np.testing.assert_array_equal(np.array(out_blob["Hits"]),
np.array(target["Hits"]))
def test_time_preproc_center(self):
module = modules.TimePreproc(
add_t0=False, center_time=True)
target = {
'time': [-1., 0., 1.],
"t0": [0.1, 0.2, 0.3],
"triggered": [0, 1, 1],
})
}
out_blob = module.process(self.in_blob)
self.assertSetEqual(set(out_blob.keys()), set(target.keys()))
np.testing.assert_array_equal(np.array(out_blob["Hits"]),
np.array(target["Hits"]))
def test_time_preproc_t0_and_center(self):
module = modules.TimePreproc(
add_t0=True, center_time=True)
target = {
'time': [-1.1, 0., 1.1],
"t0": [0.1, 0.2, 0.3],
"triggered": [0, 1, 1],
})
}
out_blob = module.process(self.in_blob)
self.assertSetEqual(set(out_blob.keys()), set(target.keys()))
np.testing.assert_array_almost_equal(
np.array(out_blob["Hits"].view("<f8")),
np.array(target["Hits"].view("<f8")))
def test_time_preproc_mchits_t0_and_center(self):
module = modules.TimePreproc(
add_t0=True, center_time=True)
target = {
'time': [-1.1, 0., 1.1],
"t0": [0.1, 0.2, 0.3],
"triggered": [0, 1, 1],
}),
"McHits": kp.Table({
'time': [-1.2, -0.2, 0.8],
"t0": [0.1, 0.2, 0.3],
"triggered": [0, 1, 1],
}),
}
out_blob = module.process(self.in_blob_mc)
self.assertSetEqual(set(out_blob.keys()), set(target.keys()))
np.testing.assert_array_almost_equal(
np.array(out_blob["McHits"].view("<f8")),
np.array(target["McHits"].view("<f8")))
class TestPointMaker(TestCase):
def setUp(self):
self.input_blob_1 = {
"x": [4, 5, 6],
'time': [1., 2., 3.],
"t0": [0.1, 0.2, 0.3],}),
"EventInfo": kp.Table({
"pad": 1.
})
}
def test_default_settings(self):
pm = modules.PointMaker(
max_n_hits=4)
result = pm.process(self.input_blob_1)["samples"]
self.assertTupleEqual(
pm.finish()["hit_infos"], ("t0", "time", "x", "is_valid"))
target = np.array(
[[[0.1, 1, 4, 1],
[0.2, 2, 5, 1],
[0.3, 3, 6, 1],
[0, 0, 0, 0]]], dtype="float32")
np.testing.assert_array_equal(result, target)
def test_input_blob_1(self):
max_n_hits=4,
hit_infos=("x", "time"),
time_window=None,
dset_n_hits=None,
)
result = pm.process(self.input_blob_1)["samples"]
self.assertTupleEqual(
pm.finish()["hit_infos"], ("x", "time", "is_valid"))
target = np.array(
[[[4, 1, 1],
[5, 2, 1],
[6, 3, 1],
[0, 0, 0]]], dtype="float32")
np.testing.assert_array_equal(result, target)
def test_input_blob_1_max_n_hits(self):
input_blob_long = {
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
"x": np.random.rand(1000).astype("float32"),
})}
result = modules.PointMaker(
max_n_hits=10,
hit_infos=("x",),
time_window=None,
dset_n_hits=None,
).process(input_blob_long)["samples"]
self.assertSequenceEqual(result.shape, (1, 10, 2))
self.assertTrue(all(
np.isin(result[0, :, 0], input_blob_long["Hits"]["x"])))
def test_input_blob_time_window(self):
result = modules.PointMaker(
max_n_hits=4,
hit_infos=("x", "time"),
time_window=[1, 2],
dset_n_hits=None,
).process(self.input_blob_1)["samples"]
target = np.array(
[[[4, 1, 1],
[5, 2, 1],
[0, 0, 0],
[0, 0, 0]]], dtype="float32")
np.testing.assert_array_equal(result, target)
def test_input_blob_time_window_nhits(self):
result = modules.PointMaker(
max_n_hits=4,
hit_infos=("x", "time"),
time_window=[1, 2],
dset_n_hits="EventInfo",
).process(self.input_blob_1)["EventInfo"]
print(result)
self.assertEqual(result["n_hits_intime"], 2)
class TestImageMaker(TestCase):
def test_2d_xt_binning(self):
# (3 x 2) x-t binning
bin_edges_list = [
["x", [3.5, 4.5, 5.5, 6.5]],
["time", [0.5, 2, 3.5]]
]
"x": [4, 5, 6],
'time': [1., 2., 3.],
"t0": [0.1, 0.2, 0.3],
"triggered": [0, 1, 1],
})
}
target = {
"x": [4, 5, 6],
'time': [1., 2., 3.],
"t0": [0.1, 0.2, 0.3],
"triggered": [0, 1, 1],
}),
[1, 0],
[0, 1],
[0, 1],
]])
}
out_blob = module.process(in_blob)
self.assertSetEqual(set(out_blob.keys()), set(target.keys()))
np.testing.assert_array_almost_equal(
np.array(out_blob["Hits"].view("<f8")),
np.array(target["Hits"].view("<f8")))
np.testing.assert_array_almost_equal(
np.array(out_blob["samples"]),
np.array(target["samples"]))
def test_unknown_field(self):
# (3 x 2) x-t binning
bin_edges_list = [
["aggg", [3.5, 4.5, 5.5, 6.5]],
["time", [0.5, 2, 3.5]]
]
module = modules.ImageMaker(
"x": [4, 5, 6],
'time': [1., 2., 3.],
"t0": [0.1, 0.2, 0.3],
"triggered": [0, 1, 1],
})
}
with self.assertRaises(ValueError):
module.process(in_blob)
def test_1d_binning(self):
# (1, ) t binning
bin_edges_list = [
["time", [2.5, 3.5]]
]
'time': [1., 2., 3.],
"t0": [0.1, 0.2, 0.3],
"triggered": [0, 1, 1],
})
}
target = {
'time': [1., 2., 3.],
"t0": [0.1, 0.2, 0.3],
"triggered": [0, 1, 1],
}),
[1, ],
])
}
out_blob = module.process(in_blob)
self.assertSetEqual(set(out_blob.keys()), set(target.keys()))
np.testing.assert_array_almost_equal(
np.array(out_blob["Hits"].view("<f8")),
np.array(target["Hits"].view("<f8")))
np.testing.assert_array_almost_equal(
np.array(out_blob["samples"]),
np.array(target["samples"]))
def test_1d_binning_no_hits(self):
# (1, ) t binning
bin_edges_list = [
["time", [3.5, 4.5]]
]
'time': [1., 2., 3.],
"t0": [0.1, 0.2, 0.3],
"triggered": [0, 1, 1],
})
}
target = {
'time': [1., 2., 3.],
"t0": [0.1, 0.2, 0.3],
"triggered": [0, 1, 1],
}),
[0, ],
])
}
out_blob = module.process(in_blob)
self.assertSetEqual(set(out_blob.keys()), set(target.keys()))
np.testing.assert_array_almost_equal(
np.array(out_blob["Hits"].view("<f8")),
np.array(target["Hits"].view("<f8")))
np.testing.assert_array_almost_equal(
np.array(out_blob["samples"]),
np.array(target["samples"]))
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
class TestDetApplier(TestCase):
def setUp(self):
self.deta = modules.DetApplier(
det_file=DET_FILE,
center_hits_to=(0, 5, None),
)
# self.pump = kp.io.HDF5Pump(filename=MUPAGE_FILE)
# self.blob = self.pump[0]
def test_cache_center(self):
target = {"pos_x": 58.75166782379619, "pos_y": -21.5, "pos_z": 0}
for d in ("pos_x", "pos_y", "pos_z"):
np.testing.assert_array_almost_equal(target[d], self.deta._vector_shift[d])
def test_shift_is_applied_to_hits(self):
blob = {"Hits": {
"pos_x": np.ones(3),
"pos_y": np.ones(3)*2,
"pos_z": np.ones(3)*3,
}}
target = {
"pos_x": np.ones(3) * 59.75166782379619,
"pos_y": np.ones(3) * -19.5,
"pos_z": np.ones(3) * 3,
}
self.deta.shift_hits(blob)
for d in ("pos_x", "pos_y", "pos_z"):
np.testing.assert_array_almost_equal(target[d], blob["Hits"][d])
class TestBinningStatsMaker(TestCase):
def test_it(self):
# (3 x 2) x-t binning
bin_edges_list = [
["x", [3.5, 4.5, 5.5, 6.5]],
["time", [0.5, 2, 3.5]],
["z", [1, 4]]
]
in_blob = {
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
"x": [4, 5, 6, 6],
'time': [1., 2., 3., 50],
"z": [0, 3, 4, 5],
"t0": [0.1, 0.2, 0.3, 0.4],
"triggered": [0, 1, 1, 1],
})
}
target = {
'x': {
'hist': np.array([0., 0., 0., 1., 0., 1.]),
'hist_bin_edges': np.array([3.5, 4., 4.5, 5., 5.5, 6., 6.5]),
'bin_edges': [3.5, 4.5, 5.5, 6.5],
'cut_off': np.array([0., 0.])
},
'time': {
'hist': np.array([0., 2.]),
'hist_bin_edges': [0.5, 2, 3.5],
'bin_edges': [0.5, 2, 3.5],
'cut_off': np.array([0., 1.])
},
'z': {
'hist': np.array([0., 2.]),
'hist_bin_edges': np.array([1., 2.5, 4.]),
'bin_edges': [1, 4],
'cut_off': np.array([1., 1.])
}
}
module = modules.BinningStatsMaker(
bin_edges_list=bin_edges_list, res_increase=2)
module.process(in_blob)
output = module.finish()
check_dicts_n_ray(output, target)
def check_dicts_n_ray(a, b):
""" Check if dicts with dicts with ndarrays are equal. """
if set(a.keys()) != set(b.keys()):
raise KeyError("{} != {}".format(a.keys(), b.keys()))
for key in a.keys():
if set(a[key].keys()) != set(b[key].keys()):
raise KeyError("{} != {}".format(a[key].keys(), b[key].keys()))
for skey in a[key].keys():
np.testing.assert_array_almost_equal(a[key][skey], b[key][skey])