names := strings.Split(chk, ",")
			if len(names) > 1 && regEnLetterAndMidline.MatchString(names[0]) {
				checks[names[0]] = CheckConstraint{Name: names[0], Constraint: strings.Join(names[1:], ","), Field: field}
			} else {
				if names[0] == "" {
					chk = strings.Join(names[1:], ",")
				}
				name := schema.namer.CheckerName(schema.Table, field.DBName)
				checks[name] = CheckConstraint{Name: name, Constraint: chk, Field: field}
			}
		}

						aliasName := utils.JoinNestedRelationNames(names[0 : len(names)-1])
						for _, join := range db.Statement.Joins {
							if join.Alias == aliasName {
								names = append(strings.Split(join.Name, "."), names[len(names)-1])
								break
							}
						}

						if rel, ok := sch.Relationships.Relations[names[0]]; ok {

                            .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).

                    value = stream((String[]) value).get(stream -> stream.collect(Collectors.joining("\n")));
                } else if (value instanceof List) {
                    @SuppressWarnings("unchecked")
                    final List<String> list = (List<String>) value;
                    value = list.stream().collect(Collectors.joining("\n"));
                }
            } else if (dateFieldSet.contains(key)) {

        String jwtClaim =
                "{\"email\":\"******@****.***\",\"sub\":\"1234567890\",\"name\":\"John Doe\",\"groups\":[\"group1\",\"group2\"]}";

        // Execute
        authenticator.parseJwtClaim(jwtClaim, attributes);

        // Verify
        assertEquals("1234567890", attributes.get("sub"));
        assertEquals("John Doe", attributes.get("name"));

        // Check groups array

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

そして呼び出すと:

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

これで変数`user_dict`のデータを持つ`dict`ができました。（これはPydanticモデルのオブジェクトの代わりに`dict`です）。

そして呼び出すと:

```Python
print(user_dict)
```

以下のようなPythonの`dict`を得ることができます:

```Python
{
    'username': 'john',
    'password': 'secret',