TF_RETURN_IF_ERROR(WriteStringToFile(env, flags.out_metadata_object,
                                       metadata_result.object_file_data));
  string header;
  TF_RETURN_IF_ERROR(GenerateHeader(codegen_opts, config, compile_result,
                                    metadata_result, &header));
  TF_RETURN_IF_ERROR(WriteStringToFile(env, flags.out_header, header));
  return absl::OkStatus();
}

  const bool update_golden = false;
  string golden_file_name =
      GetDataDependencyFilepath(tensorflow_relative_golden_file_name);

  if (update_golden) {
    TF_EXPECT_OK(
        WriteStringToFile(Env::Default(), golden_file_name, expected_contents));
  }

  string golden_file_contents;
  TF_ASSERT_OK(ReadFileToString(Env::Default(), golden_file_name,
                                &golden_file_contents));

        writeFile(content, destination, Charset.defaultCharset().name());
    }

    public static void writeFile(String content, File destination, String encoding) {
        try {
            FileUtils.writeStringToFile(destination, content, encoding);
        } catch (IOException e) {
            throw new UncheckedIOException(e);
        }
    }

    }

    public static void writeFile(String content, File destination, String encoding) {
        logDeprecation();
        try {
            FileUtils.writeStringToFile(destination, content, encoding);
        } catch (IOException e) {
            throw new UncheckedIOException(e);
        }
    }

    }

    public TestFile writelns(String... lines) {
        return writelns(Arrays.asList(lines));
    }

    public TestFile write(Object content) {
        try {
            FileUtils.writeStringToFile(this, content.toString(), StandardCharsets.UTF_8);
        } catch (IOException e) {
            throw new RuntimeException(String.format("Could not write to test file '%s'", this), e);
        }
        return this;