}

void TF_AttrBuilderSetTypeList(TF_AttrBuilder* builder, const char* attr_name,
                               const TF_DataType* values, int num_values) {
  auto iter = builder->attr_names.insert(attr_name).first;
  builder->Set(*iter, tensorflow::gtl::ArraySlice<const tensorflow::DataType>(
                          reinterpret_cast<const tensorflow::DataType*>(values),
                          num_values));
}

  }
}

bool CheckpointReader::HasTensor(const string& name) const {
  if (reader_ != nullptr) {
    return reader_->HasTensor(name, nullptr, nullptr);
  }
  return v2_reader_->Contains(name);
}

const TensorSliceReader::VarToShapeMap&
CheckpointReader::GetVariableToShapeMap() const {
  CHECK(var_to_shape_map_);
  return *var_to_shape_map_;
}

const TensorSliceReader::VarToDataTypeMap&

}

void TF_SetAttrString(TF_OperationDescription* desc, const char* attr_name,
                      const void* value, size_t length) {
  absl::string_view s(static_cast<const char*>(value), length);
  desc->node_builder.Attr(attr_name, s);
}

void TF_SetAttrStringList(TF_OperationDescription* desc, const char* attr_name,
                          const void* const* values, const size_t* lengths,
                          int num_values) {

                          const char* name) {
  unique_tensor_ptr tensor(BoolTensor(v), TF_DeleteTensor);
  return Const(tensor.get(), graph, s, name);
}

TF_Operation* ScalarConst(int32_t v, TF_Graph* graph, TF_Status* s,
                          const char* name) {
  unique_tensor_ptr tensor(Int32Tensor(v), TF_DeleteTensor);
  return Const(tensor.get(), graph, s, name);
}

  // 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<string>& output_names,
               bool expect_failure = false) {
    ASSERT_EQ(func_, nullptr);
    const char** output_names_ptr = ToArray(output_names);

}

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)");

pkg crypto/x509, method (KeyUsage) String() string #56866
pkg debug/elf, const R_LARCH_CALL36 = 110 #75562
pkg debug/elf, const R_LARCH_CALL36 R_LARCH #75562
pkg debug/elf, const R_LARCH_TLS_DESC32 = 13 #75562
pkg debug/elf, const R_LARCH_TLS_DESC32 R_LARCH #75562
pkg debug/elf, const R_LARCH_TLS_DESC64 = 14 #75562
pkg debug/elf, const R_LARCH_TLS_DESC64 R_LARCH #75562
pkg debug/elf, const R_LARCH_TLS_DESC64_HI12 = 118 #75562

                    "FirstItem": {
                        "properties": {
                            "value": {
                                "type": "string",
                                "const": "first",
                                "title": "Value",
                            },
                            "price": {"type": "integer", "title": "Price"},
                        },

	}
}

func BenchmarkWriteByte(b *testing.B) {
	const n = 4 << 10
	b.SetBytes(n)
	buf := NewBuffer(make([]byte, n))
	for i := 0; i < b.N; i++ {
		buf.Reset()
		for i := 0; i < n; i++ {
			buf.WriteByte('x')
		}
	}
}

func BenchmarkWriteRune(b *testing.B) {
	const n = 4 << 10
	const r = '☺'
	b.SetBytes(int64(n * utf8.RuneLen(r)))

      call = call,
    )

  companion object {
    private const val PROXY_A_PORT = 1001
    private const val PROXY_A_HOST = "proxya"
    private val proxyA =
      Proxy(
        Proxy.Type.HTTP,
        InetSocketAddress.createUnresolved(PROXY_A_HOST, PROXY_A_PORT),
      )

    private const val PROXY_B_PORT = 1002
    private const val PROXY_B_HOST = "proxyb"
    private val proxyB =
      Proxy(