chore: import upstream snapshot with attribution

tensorflow/security/fuzzing/raggedCountSparseOutput_fuzz.py

@@ -0,0 +1,44 @@
+# Copyright 2021 The TensorFlow Authors. All Rights Reserved.
+#
+# 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.
+# ==============================================================================
+"""This is a Python API fuzzer for tf.raw_ops.RaggedCountSparseOutput."""
+import atheris
+with atheris.instrument_imports():
+  import sys
+  from python_fuzzing import FuzzingHelper
+  import tensorflow as tf
+
+
+@atheris.instrument_func
+def TestOneInput(input_bytes):
+  """Test randomized integer/float fuzzing input for tf.raw_ops.RaggedCountSparseOutput."""
+  fh = FuzzingHelper(input_bytes)
+
+  splits = fh.get_int_list()
+  values = fh.get_int_or_float_list()
+  weights = fh.get_int_list()
+  try:
+    _, _, _, = tf.raw_ops.RaggedCountSparseOutput(
+        splits=splits, values=values, weights=weights, binary_output=False)
+  except tf.errors.InvalidArgumentError:
+    pass
+
+
+def main():
+  atheris.Setup(sys.argv, TestOneInput, enable_python_coverage=True)
+  atheris.Fuzz()
+
+
+if __name__ == "__main__":
+  main()