#!/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 os import sys import atheris from kiwisolver import ( Solver, UnsatisfiableConstraint, Variable, ) def TestOneInput(data): fdp = atheris.FuzzedDataProvider(data) s = Solver() # Create an arbitrary set of variables variables = [] num_of_variables = fdp.ConsumeIntInRange(2, 10) for v in range(num_of_variables): variables.append(Variable(fdp.ConsumeUnicodeNoSurrogates(20))) s.addEditVariable(variables[-1], "weak") # Apply a random set of constraints on these variables num_of_ops = fdp.ConsumeIntInRange(2, 10) for i in range(num_of_ops): op = fdp.ConsumeIntInRange(1,3) var = variables[fdp.ConsumeIntInRange(0,len(variables)-1)] c = 1 * var for i2 in range(fdp.ConsumeIntInRange(2, 5)): if op == 1: c = c + fdp.ConsumeIntInRange(1, 100) elif op == 2: c = c - fdp.ConsumeIntInRange(1, 100) elif op == 3: c = c * fdp.ConsumeIntInRange(1, 100) # Add constraint constr = fdp.ConsumeIntInRange(0,2) if constr == 0: c = c >= 0 elif constr == 1: c = c <= 0 else: c = c == 0 try: s.addConstraint(c) except UnsatisfiableConstraint: return # Set a condition/update variables. s.updateVariables() def main(): atheris.instrument_all() atheris.Setup(sys.argv, TestOneInput, enable_python_coverage=True) atheris.Fuzz() if __name__ == "__main__": main()