def test_get_true_positives_returns_correct_number_of_entries():
tpms = _get_test_tpms()
t.mark_positives_and_negatives(tpms)
tp_tpms = t.get_true_positives(tpms)
assert len(tp_tpms) == \
len([x for x, y in zip(CALC_TPMS_VALS, REAL_TPMS_VALS)
if x > t.NOT_PRESENT_CUTOFF and y > t.NOT_PRESENT_CUTOFF])
def test_get_true_positives_returns_correct_number_of_entries():
tpms = _get_test_tpms()
t.mark_positives_and_negatives(NOT_PRESENT_CUTOFF, tpms)
tp_tpms = t.get_true_positives(tpms)
assert len(tp_tpms) == \
len([x for x, y in zip(CALC_TPMS_VALS, REAL_TPMS_VALS)
if x > NOT_PRESENT_CUTOFF and y > NOT_PRESENT_CUTOFF])
def _get_test_tpms():
tpms = pd.DataFrame.from_dict({
t.REAL_TPM: test_tpms.REAL_TPMS_VALS,
t.CALCULATED_TPM: test_tpms.CALC_TPMS_VALS,
test_tpms.GROUP_TEST_COL: test_tpms.GROUPS
})
t.calculate_log_ratios(tpms)
t.calculate_percent_error(tpms)
t.mark_positives_and_negatives(tpms)
return tpms, t.get_true_positives(tpms)
