def test_empty_df(self):
validator = StaticValidator(self.params)
report = ValidationReport([])
empty_df = pd.DataFrame(columns=["val", "se", "sample_size"],
dtype=float)
validator.check_bad_se(empty_df, "", report)
assert len(report.raised_errors) == 0
validator.params.missing_se_allowed = True
validator.check_bad_se(empty_df, "", report)
assert len(report.raised_errors) == 0
def test_jeffreys(self):
validator = StaticValidator(self.params)
report = ValidationReport([])
validator.params.missing_se_allowed = False
df = pd.DataFrame([[0, 0, 200], [1, 0, np.nan], [1, np.nan, np.nan]],
columns=["val", "se", "sample_size"])
validator.check_bad_se(df, "name", report)
assert len(report.raised_errors) == 2
assert "check_se_not_missing_and_in_range" in [
err.check_data_id[0] for err in report.raised_errors
]
assert "check_se_0_when_val_0" in [
err.check_data_id[0] for err in report.raised_errors
]