def test_lt_min_missing_not_allowed(self):
validator = StaticValidator(self.params)
report = ValidationReport([])
validator.params.missing_sample_size_allowed = False
df = pd.DataFrame([[1, 0, 10], [1, np.nan, 240], [1, np.nan, 245]],
columns=["val", "se", "sample_size"])
validator.check_bad_sample_size(df, FILENAME, report)
assert len(report.raised_errors) == 1
assert report.raised_errors[0].check_name == "check_n_gt_min"
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_sample_size(empty_df, "", report)
assert len(report.raised_errors) == 0
validator.params.missing_sample_size_allowed = True
validator.check_bad_sample_size(empty_df, "", report)
assert len(report.raised_errors) == 0