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#!/usr/bin/python3
# Copyright 2022 Google LLC
#
# 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 atheris
import sys
with atheris.instrument_imports():
from io import StringIO
import numpy as np
def get_fuzz_types():
# Define the rows
dtype = np.dtype(
[('f0', np.uint16), ('f1', np.float64), ('f2', 'S7'), ('f3', np.int8)]
)
# An expected match
expected = np.array(
[
(1, 2.4, "a", -34),
(2, 3.1, "b", 29),
(3, 9.9, "g", 120),
],
dtype=dtype
)
return dtype, expected
def TestOneInput(fuzz_data):
dtype, expected = get_fuzz_types()
fdp = atheris.FuzzedDataProvider(fuzz_data)
new_data = StringIO(fdp.ConsumeString(sys.maxsize))
try:
np.loadtxt(new_data, dtype=dtype, delimiter=";", skiprows=True)
# Catch all of the exceptions that are caught in
# https://github.com/numpy/numpy/blob/main/numpy/lib/tests/test_loadtxt.py
except StopIteration:
return
except ValueError:
return
except IndexError:
return
except TypeError:
return
except RuntimeError:
return
def main():
atheris.instrument_all()
atheris.Setup(sys.argv, TestOneInput, enable_python_coverage=True)
atheris.Fuzz()
if __name__ == "__main__":
main()
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