pqc/test/test_metadata.py
Thom Wiggers 78a65d6ec9 Parallel tests (#206)
* Do tests with pytest to run them in parallel

* attempt to handle merge commits better for PR test path

Similar to how we solved this for travis

* Clean up imports

* don't run valgrind if not specified slow_test

* Fix functest after initializer rename

* upload tests results as junit

* Upload test-common files since #200 got merged

* Catch test results upload failure
2019-07-29 10:38:25 +02:00

146 рядки
4.7 KiB
Python

"""
Verify the metadata specified in the META.yml files.
"""
import copy
import itertools
import pytest
import helpers
import pqclean
@pytest.mark.parametrize(
'scheme',
pqclean.Scheme.all_schemes(),
ids=str,
)
@helpers.filtered_test
def test_metadata(scheme):
metadata = scheme.metadata()
specification = EXPECTED_FIELDS.items()
if scheme.type == 'kem':
specification = itertools.chain(specification, KEM_FIELDS.items())
elif scheme.type == 'sign':
specification = itertools.chain(specification,
SIGNATURE_FIELDS.items())
else:
assert False, "Wrong type of metadata"
check_spec(copy.deepcopy(metadata), specification)
implementation_names_in_yaml = set(
i['name'] for i in metadata['implementations'])
if len(implementation_names_in_yaml) != len(metadata['implementations']):
raise AssertionError("Implementations in YAML file are not distinct")
implementations_on_disk = set(i.name for i in scheme.implementations)
if implementation_names_in_yaml != implementations_on_disk:
raise AssertionError("Implementations in YAML file {} and "
"implementations on disk {} do not match"
.format(implementation_names_in_yaml,
implementations_on_disk))
EXPECTED_FIELDS = {
'name': {'type': str},
'type': {'type': str},
'claimed-nist-level': {'type': int, 'min': 1, 'max': 5},
'length-public-key': {'type': int, 'min': 1},
'length-secret-key': {'type': int, 'min': 1},
'nistkat-sha256': {'type': str, 'length': 64},
'principal-submitters': {'type': list, 'elements': {'type': str}},
'auxiliary-submitters': {
'type': list, 'elements': {'type': str}, 'optional': True},
'implementations': {
'type': list,
'elements': {
'type': dict,
'spec': {
'name': {'type': str},
'version': {'type': str},
},
},
},
}
KEM_FIELDS = {
'claimed-security': {'type': str, 'values': ['IND-CPA', 'IND-CCA2']},
'length-ciphertext': {'type': int, 'min': 1},
'length-shared-secret': {'type': int, 'min': 1},
}
SIGNATURE_FIELDS = {
'length-signature': {'type': int, 'min': 1},
'testvectors-sha256': {'type': str, 'length': 64},
}
def check_spec(metadata, spec):
for field, props in spec:
if field not in metadata and 'optional' not in props:
raise AssertionError("Field '{}' not present.".format(field))
# validate element
if field in metadata:
check_element(field, metadata[field], props)
# delete it to detect extras
del metadata[field]
# Done checking all specified fields, check if we have extras
for field, value in metadata.items():
raise AssertionError(
"Unexpected item '{}' with value '{}'".format(field, value))
def check_element(field, element, props):
type_ = props['type']
# Validate type of element
type_(element)
# Strs are valid lists otherwise
if type_ == list and type(element) != list:
raise ValueError("Field {} not a list".format(field))
# lists are valid dicts otherwise
if type_ == dict and type(element) != dict:
raise ValueError("Field {} not a dict".format(field))
if type_ == int:
element = int(element)
if 'min' in props:
if element < props['min']:
raise ValueError("Value of field '{}' is lower than minimum "
"value {}".format(field, props['min']))
if 'max' in props:
if element > props['max']:
raise ValueError("Value of field '{}' is larger than maximum"
" value {}"
.format(field, props['max']))
if type_ == str:
if 'length' in props:
actual_len = len(element)
if actual_len != props['length']:
raise ValueError("Value of field '{}' should be length {}"
" but was length {}"
.format(field, props['length'], actual_len))
if 'values' in props and element not in props['values']:
raise ValueError("'{}' should be in {}"
.format(element, props['values']))
if type_ == list: # recursively check the elements
for el in element:
check_element('element of {}'.format(field), el, props['elements'])
if type_ == dict:
check_spec(element, props['spec'].items())
if __name__ == '__main__':
import sys
pytest.main(sys.argv)