def test_ml_analyzed(self):
for met in list_test_bins():
target = TARGET_METRICS[met.lid]
assert np.isclose(met.ml_analyzed, target['ml_analyzed'])
assert np.isclose(met.run_time, target['run_time'])
assert np.isclose(met.look_time, target['look_time'])
assert np.isclose(met.inhibit_time, target['inhibit_time'])
def test_pack(self):
for b in list_test_bins():
if b.lid not in PACKED:
continue
m = Mosaic(b)
packed = m.pack()
for col in ['y', 'x', 'roi_number']:
values = packed[col].values
expected_values = np.array(PACKED[b.lid][col])
assert np.allclose(values, expected_values)
def test_ml_analyzed(self):
for b in list_test_bins():
result = compute_ml_analyzed(b)
target_result = TARGET_ML_ANALYZED[b.lid]
for rv, trv in zip(result, target_result):
assert np.isclose(rv, trv)
def test_header_metrics(self):
for met in list_test_bins():
target = TARGET_METRICS[met.lid]
assert np.isclose(met.temperature, target[TEMPERATURE])
assert np.isclose(met.humidity, target[HUMIDITY])
def test_trigger_rate(self):
for met in list_test_bins():
target = TARGET_METRICS[met.lid]
assert np.isclose(met.trigger_rate, target['trigger_rate'])