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# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
# implied.
# See the License for the specific language governing permissions and
# limitations under the License.
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].encode("ascii") 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)
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