when dealing with untrusted data. Based on the security history of these
libraries we consider that it is safe to work with untrusted inputs for PNG,
BMP, GIF, WAV, RAW, RAW\_PADDED, CSV and PROTO formats. All other input formats,
including tensorflow-io should be sandboxed if used to process untrusted data.

For example, if an attacker were to upload a malicious video file, they could

  const std::string file = io::JoinPath(base, "TestFile.csv");
  WriteString(file, "test");
  EXPECT_TF_OK(status_);

  const std::string subdir = io::JoinPath(base, "SubDir");
  tf_gcs_filesystem::CreateDir(filesystem_, subdir.c_str(), status_);
  EXPECT_TF_OK(status_);
  const std::string subfile = io::JoinPath(subdir, "TestSubFile.csv");
  WriteString(subfile, "test");
  EXPECT_TF_OK(status_);

        return a meaningful error message on failure.
*   tf.data:
    *   Remove `num_parallel_parser_calls` argument from
        `tf.contrib.data.make_csv_dataset()`. [tf.data] Remove
        `num_parallel_parser_calls` argument from
        `tf.contrib.data.make_csv_dataset()`.
    *   `tf.data.Dataset.list_files()` raises an exception at initialization
        time if the argument matches no files.