先ほどのコードから一行変更してみましょう。

以下の関数のパラメータ部分を:

```Python
    first_name, last_name
```

以下へ変更します:

```Python
    first_name: str, last_name: str
```

これだけです。

それが「型ヒント」です:

```Python hl_lines="1"
{!../../docs_src/python_types/tutorial002.py!}
```

これは、以下のようにデフォルト値を宣言するのと同じではありません:

```Python
    first_name="john", last_name="doe"
```

それとは別物です。

イコール（`=`）ではなく、コロン（`:`）を使用します。

    final boolean timed = isTimed(method); // Not going to bother with all timeouts, just 0ms.
    String testName =
        method.getName()
            + (fair ? "(fair)" : "(nonfair)")
            + (timed ? "(0ms)" : "()")
            + "/NotOccupying->IMSE";
    return new TestCase(testName) {
      @Override
      protected void runTest() throws Throwable {
        Monitor monitor = new Monitor(fair);

  server_def.set_job_name(job_name);
  server_def.set_task_index(0);
  tensorflow::ClusterDef* cluster_def = server_def.mutable_cluster();
  tensorflow::JobDef* job_def = cluster_def->add_job();
  job_def->set_name(job_name);
  for (int i = 0; i < num_tasks; i++) {
    int port = tensorflow::testing::PickUnusedPortOrDie();
    job_def->mutable_tasks()->insert(
        {i, tensorflow::strings::StrCat("localhost:", port)});

  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());

      hermetic_cuda_compute_capabilities,
  )


def set_cuda_local_path(environ_cp, dist_name, env_var):
  ask_path = (
      'Please specify the local {} path you want to use '
      'or leave empty to use the default version. '
  ).format(dist_name)
  local_path = get_from_env_or_user_or_default(
      environ_cp, env_var, ask_path, None
  )
  if local_path:

  // Another renaming of local device
  const string second_name = "def";
  server_def.set_job_name(second_name);
  server_def.mutable_cluster()->mutable_job(0)->set_name(second_name);
  (*server_def.mutable_cluster()->mutable_job(0)->mutable_tasks())[0] =
      absl::StrCat(second_name, ":",
                   tensorflow::testing::PickUnusedPortOrDie());

func TestQueryScanToArray(t *testing.T) {
	err := DB.Create(&User{Name: "testname1", Age: 10}).Error
	if err != nil {
		t.Fatal(err)
	}

	users := [2]*User{{Name: "1"}, {Name: "2"}}
	err = DB.Model(&User{}).Where("name = ?", "testname1").Find(&users).Error
	if err != nil {
		t.Fatal(err)
	}
	if users[0] == nil || users[0].Name != "testname1" {
		t.Error("users[0] not covered")
	}
	if users[1] != nil {

  }
  absl::Status SetAttrFunctionName(const char* attr_name, const char* value,
                                   size_t length) override {
    tensorflow::NameAttrList func_name;
    func_name.set_name(string(value, value + length));
    op_->node_builder.Attr(attr_name, func_name);
    return absl::OkStatus();
  }
  absl::Status SetAttrTensor(const char* attr_name,

//
//	STEP 1: Call the handler with the unsigned HTTP request (anonReq), assert for the `ErrAccessDenied` error response.
func ExecObjectLayerAPIAnonTest(t *testing.T, obj ObjectLayer, testName, bucketName, objectName, instanceType string, apiRouter http.Handler,
	anonReq *http.Request, bucketPolicy *policy.BucketPolicy,
) {
	anonTestStr := "Anonymous HTTP request test"

  EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);

  server_def.set_task_index(0);
  auto cluster = server_def.mutable_cluster();
  auto client_job = cluster->add_job();
  client_job->set_name("localhost");
  int client_port = tensorflow::testing::PickUnusedPortOrDie();
  client_job->mutable_tasks()->insert(
      {0, strings::StrCat("localhost:", client_port)});
  server_def.set_job_name("localhost");