def test_patients_some_missing(self):
"""One patient, with the value present."""
id_to_attributes = {
'Tom': {
'Pet': 'dog',
'Car': 'NA',
'Team': 'Leafs'
},
'Lily': {
'Pet': 'dog',
'Car': 'NA',
'Team': 'Leafs'
},
'Jay': {
'Pet': 'dog',
'Car': 'BMW',
'Team': 'Leafs'
}
}
name = 'Car'
expected = ['Tom', 'Lily']
actual = tfs.patients_with_missing_values(id_to_attributes, name)
msg = ERROR_MESSAGE.format(expected, actual)
self.assertEqual(expected, actual, msg)
def test_empty(self):
"""Empty dictionary."""
id_to_attributes = {}
name = 'xyz'
expected = []
actual = tfs.patients_with_missing_values(id_to_attributes, name)
msg = ERROR_MESSAGE.format(expected, actual)
self.assertEqual(expected, actual, msg)
'read_patients_dataset(a non-empty file)',
'a non-empty Dict[str, Dict[str, str]]',
actual)
########## build_value_to_ids
actual = tf.build_value_to_ids(d, 'Gender')
check_type_details(
isinstance(actual, dict) and 'female' in actual and
isinstance(actual['female'], list) and actual['female'] != [] and
isinstance(actual['female'][0], str),
'build_value_to_ids',
'a non-empty Dict[str, List[str]] with a non-empty value',
actual)
######### patients_with_missing_values
actual = tf.patients_with_missing_values(d, 'Age')
check_type_details(
isinstance(actual, list) and actual != [] and isinstance(actual[0], str),
'patients_with_missing_values',
'a non-empty List[str]',
actual)
######### similarity_score
check_function(tf.similarity_score, [d['tcga.5l.aat0'], p], float)
######### patient_similarities
actual = tf.patient_similarities(d, p)
check_type_details(
isinstance(actual, dict) and 'tcga.5l.aat0' in actual and
isinstance(actual['tcga.5l.aat0'], float),
'patient_similarities',