138 lines
4.3 KiB
Python
138 lines
4.3 KiB
Python
"""
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Verify the metadata specified in the META.yml files.
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"""
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import copy
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import itertools
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import pqclean
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def test_metadata():
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for scheme in pqclean.Scheme.all_schemes():
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yield check_metadata, scheme
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def check_metadata(scheme):
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metadata = scheme.metadata()
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specification = EXPECTED_FIELDS.items()
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if scheme.type == 'kem':
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specification = itertools.chain(specification, KEM_FIELDS.items())
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elif scheme.type == 'sign':
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specification = itertools.chain(specification,
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SIGNATURE_FIELDS.items())
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else:
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assert False, "Wrong type of metadata"
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check_spec(copy.deepcopy(metadata), specification)
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implementation_names_in_yaml = set(
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i['name'] for i in metadata['implementations'])
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if len(implementation_names_in_yaml) != len(metadata['implementations']):
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raise AssertionError("Implementations in YAML file are not distinct")
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implementations_on_disk = set(i.name for i in scheme.implementations)
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if implementation_names_in_yaml != implementations_on_disk:
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raise AssertionError("Implementations in YAML file {} and "
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"implementations on disk {} do not match"
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.format(implementation_names_in_yaml,
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implementations_on_disk))
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EXPECTED_FIELDS = {
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'name': {'type': str},
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'type': {'type': str},
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'claimed-nist-level': {'type': int, 'min': 1, 'max': 5},
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'length-public-key': {'type': int, 'min': 1},
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'testvectors-sha256': {'type': str, 'length': 64},
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'principal-submitter': {'type': str},
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'auxiliary-submitters': {'type': list, 'elements': {'type': str}},
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'implementations': {
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'type': list,
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'elements': {
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'type': dict,
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'spec': {
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'name': {'type': str},
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'version': {'type': str},
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'length-secret-key': {'type': int, 'min': 1},
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},
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},
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},
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}
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KEM_FIELDS = {
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'length-ciphertext': {'type': int, 'min': 1},
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'length-shared-secret': {'type': int, 'min': 1},
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}
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SIGNATURE_FIELDS = {
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'length-signature': {'type': int, 'min': 1},
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}
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def check_spec(metadata, spec):
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for field, props in spec:
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if field not in metadata:
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raise AssertionError("Field '{}' not present.".format(field))
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# validate element
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check_element(field, metadata[field], props)
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# delete it to detect extras
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del metadata[field]
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# Done checking all specified fields, check if we have extras
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for field, value in metadata.items():
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raise AssertionError(
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"Unexpected item '{}' with value '{}'".format(field, value))
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def check_element(field, element, props):
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type_ = props['type']
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# Validate type of element
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type_(element)
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# Strs are valid lists otherwise
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if type_ == list and type(element) != list:
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raise ValueError("Field {} not a list".format(field))
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# lists are valid dicts otherwise
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if type_ == dict and type(element) != dict:
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raise ValueError("Field {} not a dict".format(field))
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if type_ == int:
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element = int(element)
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if 'min' in props:
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if element < props['min']:
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raise ValueError("Value of field '{}' is lower than minimum "
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"value {}".format(field, props['min']))
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if 'max' in props:
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if element > props['max']:
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raise ValueError("Value of field '{}' is larger than maximum"
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" value {}"
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.format(field, props['max']))
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if type_ == str:
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if 'length' in props:
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actual_len = len(element)
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if actual_len != props['length']:
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raise ValueError("Value of field '{}' should be length {}"
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" but was length {}"
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.format(field, props['length'], actual_len))
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if type_ == list: # recursively check the elements
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for el in element:
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check_element('element of {}'.format(field), el, props['elements'])
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if type_ == dict:
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check_spec(element, props['spec'].items())
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if __name__ == '__main__':
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try:
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import nose2
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nose2.main()
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except ImportError:
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import nose
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nose.runmodule()
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