Os modelos Pydantic possuem um método `.dict()` que retorna um `dict` com os dados do modelo.

Então, se criarmos um objeto Pydantic `user_in` como:

```Python
user_in = UserIn(username="john", password="secret", email="john******@****.***")
```

e depois chamarmos:

```Python
user_dict = user_in.dict()
```

У Pydantic-моделей есть метод `.dict()`, который возвращает `dict` с данными модели.

Поэтому, если мы создадим Pydantic-объект `user_in` таким способом:

```Python
user_in = UserIn(username="john", password="secret", email="john******@****.***")
```

и затем вызовем:

```Python
user_dict = user_in.dict()
```

  }

  public void testJoin() {
    assertThat(SignedBytes.join(",", EMPTY)).isEmpty();
    assertThat(SignedBytes.join(",", ARRAY1)).isEqualTo("1");
    assertThat(SignedBytes.join(",", (byte) 1, (byte) 2)).isEqualTo("1,2");
    assertThat(SignedBytes.join("", (byte) 1, (byte) 2, (byte) 3)).isEqualTo("123");
    assertThat(SignedBytes.join(",", (byte) -128, (byte) -1)).isEqualTo("-128,-1");
  }

Pydantic-Modelle haben eine `.dict()`-Methode, die ein `dict` mit den Daten des Modells zurückgibt.

Wenn wir also ein Pydantic-Objekt `user_in` erstellen, etwa so:

```Python
user_in = UserIn(username="john", password="secret", email="john******@****.***")
```

und wir rufen seine `.dict()`-Methode auf:

```Python
user_dict = user_in.dict()
```

    assertThat(UnsignedLongs.join(",")).isEmpty();
    assertThat(UnsignedLongs.join(",", 1)).isEqualTo("1");
    assertThat(UnsignedLongs.join(",", 1, 2)).isEqualTo("1,2");
    assertThat(UnsignedLongs.join(",", -1, Long.MIN_VALUE))
        .isEqualTo("18446744073709551615,9223372036854775808");
    assertThat(UnsignedLongs.join("", 1, 2, 3)).isEqualTo("123");
    assertThat(UnsignedLongs.join("", -1, Long.MIN_VALUE))

                            .filter(StringUtil::isNotBlank)
                            .distinct()
                            .collect(Collectors.joining("\n")));
                    form.crudMode = crudMode;
                }).orElse(() -> {
                    throwValidationError(messages -> messages.addErrorsCrudCouldNotFindCrudTable(GLOBAL, id), this::asListHtml);

        body.permissions = stream(entity.getPermissions()).get(stream -> stream.map(s -> permissionHelper.decode(s))
                .filter(StringUtil::isNotBlank)
                .distinct()
                .collect(Collectors.joining("\n")));
        return asJson(new ApiResult.ApiConfigResponse().setting(body).status(ApiResult.Status.OK).result());
    }

    // POST /api/admin/elevateword/setting
    /**

    assertThat(Doubles.join(",", EMPTY)).isEmpty();
    assertThat(Doubles.join(",", ARRAY1)).isEqualTo("1.0");
    assertThat(Doubles.join(",", 1.0, 2.0)).isEqualTo("1.0,2.0");
    assertThat(Doubles.join("", 1.0, 2.0, 3.0)).isEqualTo("1.02.03.0");
  }

  public void testJoinNonTrivialDoubles() {
    assertThat(Doubles.join(",", EMPTY)).isEmpty();
    assertThat(Doubles.join(",", 1.2)).isEqualTo("1.2");

`user_in`은 Pydantic 모델 클래스인 `UserIn`입니다.

Pydantic 모델은 모델 데이터를 포함한 `dict`를 반환하는 `.dict()` 메서드를 제공합니다.

따라서, 다음과 같이 Pydantic 객체 `user_in`을 생성할 수 있습니다:

```Python
user_in = UserIn(username="john", password="secret", email="john******@****.***")
```

그 다음, 다음과 같이 호출합니다:

```Python
user_dict = user_in.dict()
```

이제 변수 `user_dict`에 데이터가 포함된 `dict`를 가지게 됩니다(이는 Pydantic 모델 객체가 아닌 `dict`입니다).

그리고 다음과 같이 호출하면:

    val endsFirst = buildRequestThread(secondRequest, secondResponseCode)
    endsFirst.start()
    endsFirst.join()
    // First response is still waiting.
    assertThat(firstResponseCode.get()).isEqualTo(0)
    // Second response is done.
    assertThat(secondResponseCode.get()).isEqualTo(200)
    latch.countDown()
    startsFirst.join()
    // And now it's done!
    assertThat(firstResponseCode.get()).isEqualTo(200)
    // (Still done).