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"))
target = np.array([[0.1, 1, 4], [0.2, 2, 5], [0.3, 3, 6]],
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)
def test_default_settings_fixed_length(self):
pm = modules.PointMaker(max_n_hits=4, fixed_length=True)
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_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_1(self):
pm = modules.PointMaker(
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 = {
"Hits": kp.Table({
"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"])))