func TestMultipleMany2Many(t *testing.T) {
	type Thing struct {
		ID int
	}

	type Person struct {
		ID       int
		Likes    []Thing `gorm:"many2many:likes"`
		Dislikes []Thing `gorm:"many2many:dislikes"`
	}

	checkStructRelation(t, &Person{},
		Relation{
			Name: "Likes", Type: schema.Many2Many, Schema: "Person", FieldSchema: "Thing",
			JoinTable: JoinTable{Name: "likes", Table: "likes"},

	}
	sm.p99Latency = p99Latency

	if me.ErrorOrNil() != nil {
		return sm, fmt.Errorf("error retrieving some metrics: %v", me.Error())
	}

	return sm, nil
}

func getLatency(promAPI promv1.API, workloadName, workloadNamespace string, duration time.Duration, quantile float64) (time.Duration, error) {

// Validate - validate if the tty can be written to
func (c *Target) Validate() error {
	return nil
}

// Endpoint returns the backend endpoint
func (c *Target) Endpoint() string {
	return ""
}

func (c *Target) String() string {
	return "console"
}

// Send log message 'e' to console
func (c *Target) Send(e interface{}) error {
	entry, ok := e.(log.Entry)
	if !ok {

				if err.Error() != testCase.expectedErr.Error() {
					if runtime.GOOS != globalWindowsOSName {
						t.Errorf("Case: %d %#v, expected: %s, got: %s", i+1, testCase, testCase.expectedErr, err)
					} else {
						var resultErrno, expectErrno uintptr
						if pathErr, ok := err.(*os.PathError); ok {
							if errno, pok := pathErr.Err.(syscall.Errno); pok {
								resultErrno = uintptr(errno)

      contain a complex error message if error_msg does not provide enough
      information. In that case, set suppress_default_error to True.
    error_msg: (String) String with one and only one '%s'. Formatted with each
      invalid response upon check_success(input) failure.
    suppress_default_error: (Bool) Suppress the above error message in favor of
      one from the check_success function.

<img src="/img/python-types/image06.png">

Notice that this means "`one_person` is an **instance** of the class `Person`".

It doesn't mean "`one_person` is the **class** called `Person`".

## Pydantic models

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> is a Python library to perform data validation.

You declare the "shape" of the data as classes with attributes.

<img src="/img/python-types/image06.png">

Lưu ý rằng, điều này có nghĩa rằng "`one_person`" là một **thực thể** của lớp `Person`.

Nó không có nghĩa "`one_person`" là một **lớp** gọi là `Person`.

## Pydantic models

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> là một thư viện Python để validate dữ liệu hiệu năng cao.

<img src="/img/tutorial/body/image03.png">

Você também poderá receber verificações de erros para operações de tipos incorretas:

<img src="/img/tutorial/body/image04.png">

Isso não é por acaso, todo o framework foi construído em volta deste design.

An error on not-int-const:1 indicates that foo is not an integer constant.
An error on not-num-const:1 indicates that foo is not a number constant.
An error on not-str-lit:1 indicates that foo is not a string literal.
An error on not-signed-int-const:1 indicates that foo is not a signed integer constant.

The line number specifies the name involved. In the example, 1 is foo.

Next, cgo must learn the details of each type, variable, function, or

          Request((mockServer.secureEndpoint + "/person?name=peter").toHttpUrl()),
        ).execute()

      assertThat(response.body.string()).contains("Peter the person")
      assertThat(response.protocol).isEqualTo(Protocol.HTTP_1_1)
    }
  }

  @Test
  fun testUrlConnectionDirect() {
    testRequest {
      val url = URI(mockServer.endpoint + "/person?name=peter").toURL()