using tensorflow::shape_inference::ShapeHandle;

  const int num_inputs = input_shapes->num_items;
  NodeDef node_def;
  tensorflow::ImmediateExecutionOperation* op = tensorflow::unwrap(tfe_op);
  node_def.set_name(op->Name());
  node_def.set_op(op->Name());
  for (int i = 0; i < num_inputs; ++i) {
    node_def.add_input("dummy_input");
  }
  OperationFromInterface(op)->Attrs().FillAttrValueMap(node_def.mutable_attr());

}

void TF_ImportGraphDefOptionsAddInputMapping(TF_ImportGraphDefOptions* opts,
                                             const char* src_name,
                                             int src_index, TF_Output dst) {
  opts->tensor_id_data.push_back(src_name);
  const string& src_name_str = opts->tensor_id_data.back();
  // We don't need to store dst's name in tensor_id_data, since `dst` must

  if (TF_TensorDefaultAlignment() > 0) {
    EXPECT_FALSE(TF_TensorIsAligned(a));
  }
  TF_DeleteTensor(a);
}

TEST(CAPI, MessageBufferConversion) {
  NodeDef node_in, node_out;
  node_in.set_name("Test name");
  node_in.set_op("Test op");

  TF_Buffer* buffer = TF_NewBuffer();
  TF_CHECK_OK(MessageToBuffer(node_in, buffer));
  TF_CHECK_OK(BufferToMessage(buffer, &node_out));
  TF_DeleteBuffer(buffer);

        private String name;
        private String directField;
        private List<String> items = new ArrayList<>();

        public String getName() {
            return name;
        }

        public void setName(String name) {
            this.name = name;
        }

        public String getDirectField() {
            return directField;
        }

            value = schema["$ref"]
            if isinstance(value, str):
                ref_name = schema["$ref"].split("/")[-1]
                if ref_name in old_name_to_new_name_map:
                    new_name = old_name_to_new_name_map[ref_name]
                    new_schema["$ref"] = REF_TEMPLATE.format(model=new_name)
            continue
        if isinstance(value, dict):
            new_schema[key] = _replace_refs(

                                + "The --fail-on-severity flag will not take effect.",
                        LogLevelRecorder.class.getName(),
                        slf4jLoggerFactory.getClass().getName());
            }
        }

        // check for presence of deprecated options and print warning
        boolean fail = false;

        private boolean isQualifiedForInterpolation(Class<?> cls) {
            return !cls.getPackage().getName().startsWith("java")
                    && !cls.getPackage().getName().startsWith("sun.nio.fs")
                    // org.apache.maven.api.model.InputLocation can be self-referencing
                    && !cls.getName().equals("org.apache.maven.api.model.InputLocation");
        }

    private static boolean isKotlinBooleanSourceCompatibilityMethod(JApiMethod jApiMethod, Map<AccessorKey, UpgradedProperty> currentMethods) {
        if (!jApiMethod.getName().startsWith("getIs")) {
            return false;
        }
        String methodName = "get" + jApiMethod.getName().substring(5);
        return currentMethods.containsKey(AccessorKey.ofMethodWithSameSignatureButNewName(methodName, jApiMethod));
    }

                functionalTestParameters(os, arch)
        ).joinToString(separator = " ")

    steps {
        gradleWrapper(this@gradleRunnerStep) {
            id = stepName
            name = stepName
            tasks = "clean $gradleTasks"
            gradleParams = parameters
            executionMode = stepExecutionMode
            if (isRetry) {
                onlyRunOnGitHubMergeQueueBranch()

    private boolean checkFieldWithDuplicate(
            XmlPullParser parser, String tagName, String alias, java.util.Set<String> parsed)
            throws XmlPullParserException {
        if (!(parser.getName().equals(tagName) || parser.getName().equals(alias))) {
            return false;
        }
        if (!parsed.add(tagName)) {
            throw new XmlPullParserException("Duplicated tag: '" + tagName + "'", parser, null);
        }