| import os.path |
| |
| |
| def load_nist_vectors(vector_data, op, fields): |
| section, count, data = None, None, {} |
| |
| for line in vector_data: |
| line = line.strip() |
| |
| # Blank lines are ignored |
| if not line: |
| continue |
| |
| # Lines starting with # are comments |
| if line.startswith("#"): |
| continue |
| |
| # Look for section headers |
| if line.startswith("[") and line.endswith("]"): |
| section = line[1:-1] |
| data[section] = {} |
| continue |
| |
| # Build our data using a simple Key = Value format |
| name, value = line.split(" = ") |
| |
| # COUNT is a special token that indicates a new block of data |
| if name.upper() == "COUNT": |
| count = value |
| data[section][count] = {} |
| # For all other tokens we simply want the name, value stored in |
| # the dictionary |
| else: |
| data[section][count][name.lower()] = value |
| |
| # We want to test only for a particular operation |
| return [ |
| tuple(vector[1][f] for f in fields) |
| for vector in sorted(data[op].items(), key=lambda v: v[0]) |
| ] |
| |
| |
| def load_nist_vectors_from_file(filename, op, fields): |
| base = os.path.join( |
| os.path.dirname(__file__), "primitives", "vectors", "NIST", |
| ) |
| with open(os.path.join(base, filename), "r") as vector_file: |
| return load_nist_vectors(vector_file, op, fields) |