}

  // Checks the expected result of shape inference for the given `op`.
  void CheckOutputShapes(
      TFE_Op* op,
      const std::vector<absl::optional<std::vector<int64_t>>>& input_shapes_vec,
      const std::vector<TF_Tensor*>& input_tensors,
      const absl::optional<std::vector<int64_t>>& expected_shape) {
    // Create input_shapes.
    TF_ShapeAndTypeList* input_shapes =

	// Multiple HTTP request handlers updating stats concurrently,
	// while background processes are reading the stats for persistence.
	const numWriters = 100 // Simulate many HTTP request handlers.
	const numReaders = 50  // Simulate background stats readers.
	const opsPerGoroutine = 100

	var wg sync.WaitGroup
	for i := range numWriters {
		wg.Add(1)
		go func(writerID int) {
			defer wg.Done()

  std::set<string> factories_sorted;
  for (const auto& factory : GetFactories())
    factories_sorted.insert(factory.first);
  const char* comma = "";
  for (const string& factory : factories_sorted) {
    msg += comma + factory;
    comma = ", ";
  }
  msg += ")";

  return errors::InvalidArgument(msg.c_str());
}

static TracingContext* CreateTracingExecutionContext(const char* fn_name,

  }

  companion object {
    private const val CONNECTION = "connection"
    private const val HOST = "host"
    private const val KEEP_ALIVE = "keep-alive"
    private const val PROXY_CONNECTION = "proxy-connection"
    private const val TRANSFER_ENCODING = "transfer-encoding"
    private const val TE = "te"
    private const val ENCODING = "encoding"
    private const val UPGRADE = "upgrade"

}

TEST_F(CApiAttributesTest, ShapeList) {
  const int64_t shape_1[] = {1, 3};
  const int64_t shape_2[] = {2, 4, 6};
  const int64_t* list[] = {&shape_1[0], &shape_2[0]};
  const size_t list_size = TF_ARRAYSIZE(list);
  const int ndims[] = {TF_ARRAYSIZE(shape_1), TF_ARRAYSIZE(shape_2)};
  const int total_ndims = 5;  // ndims[0] + ndims[1]

  auto desc = init("list(shape)");

  // operations specified (0).
  void DefineT(int num_opers, const std::vector<TF_Operation*>& opers,
               const std::vector<TF_Output>& inputs,
               const std::vector<TF_Output>& outputs,
               const std::vector<std::string>& output_names,
               bool expect_failure = false) {
    ASSERT_EQ(func_, nullptr);
    const char** output_names_ptr = ToArray(output_names);

    return result
  }

  override fun toString(): String = "$tagClass/$tag"

  companion object {
    const val TAG_CLASS_UNIVERSAL = 0b0000_0000
    const val TAG_CLASS_APPLICATION = 0b0100_0000
    const val TAG_CLASS_CONTEXT_SPECIFIC = 0b1000_0000
    const val TAG_CLASS_PRIVATE = 0b1100_0000

    const val TAG_END_OF_CONTENTS = 0L
  }

  // appropriate.
  virtual tensorflow::FullTypeDef FullType() const = 0;

  // The default debug string includes a shape, dtype and FullType.
  // Implementations are free to override it with something more informative.
  virtual std::string DebugString() const;

  AbstractTensorHandleKind getKind() const { return kind_; }

 private:
  const AbstractTensorHandleKind kind_;
};

namespace internal {

package cmd

//go:generate msgp -file $GOFILE -unexported

const (
	storageRESTVersion       = "v63" // Introduce RenamePart and ReadParts API
	storageRESTVersionPrefix = SlashSeparator + storageRESTVersion
	storageRESTPrefix        = minioReservedBucketPath + "/storage"
)

const (
	storageRESTMethodHealth = "/health"

	storageRESTMethodAppendFile     = "/afile"

    "mapped ".encodeUtf8(),
    // 6.
    "valid ".encodeUtf8(),
  )

internal const val TYPE_DEVIATION = 0
internal const val TYPE_DISALLOWED = 1
internal const val TYPE_DISALLOWED_STD3_MAPPED = 2
internal const val TYPE_DISALLOWED_STD3_VALID = 3
internal const val TYPE_IGNORED = 4
internal const val TYPE_MAPPED = 5
internal const val TYPE_VALID = 6

private fun BufferedSource.skipWhitespace() {
  while (!exhausted()) {