/**
     * Creates a new model source backed by the specified URL.
     *
     * @param settingsUrl The settings URL, must not be {@code null}.
     */
    public UrlSettingsSource(URL settingsUrl) {
        super(settingsUrl);
    }

    /**
     * Gets the settings URL of this model source.
     *
     * @return The underlying settings URL, never {@code null}.

    class ResponseModelV1(BaseModel):
        name: str

    app = FastAPI()

    with pytest.raises(PydanticV1NotSupportedError):

        @app.get("/response-model", response_model=ResponseModelV1)
        def endpoint():  # pragma: no cover
            return {"name": "test"}


def test_raises_pydantic_v1_model_in_additional_responses_model() -> None:

	if err := DB.Create(&data).Error; err != nil {
		t.Errorf("Should got no error when creating data, but got %v", err)
	}

	if err := DB.Model(&data).Update("password", EncryptedData("xnewpass")).Error; err == nil {
		t.Errorf("Should failed to update data with invalid data")
	}

	if err := DB.Model(&data).Update("password", EncryptedData("newpass")).Error; err != nil {
		t.Errorf("Should got no error update data with valid data, but got %v", err)

import org.elasticsearch.gradle.internal.conventions.VersionPropertiesLoader
import org.apache.tools.ant.taskdefs.condition.Os
import org.gradle.plugins.ide.eclipse.model.AccessRule
import org.gradle.plugins.ide.eclipse.model.SourceFolder
import org.gradle.plugins.ide.eclipse.model.ProjectDependency

plugins {
  id 'java-gradle-plugin'
  id 'groovy-gradle-plugin'
  id 'groovy'
  id 'elasticsearch.build-tools'
  id 'elasticsearch.eclipse'

# JSON Uyumlu Encoder { #json-compatible-encoder }

Bazı durumlarda, bir veri tipini (örneğin bir Pydantic model) JSON ile uyumlu bir şeye (örneğin `dict`, `list` vb.) dönüştürmeniz gerekebilir.

Örneğin, bunu bir veritabanında saklamanız gerekiyorsa.

Bunun için **FastAPI**, `jsonable_encoder()` fonksiyonunu sağlar.

## `jsonable_encoder` Kullanımı { #using-the-jsonable-encoder }

from enum import Enum

from fastapi import FastAPI


class ModelName(str, Enum):
    alexnet = "alexnet"
    resnet = "resnet"
    lenet = "lenet"


app = FastAPI()


@app.get("/models/{model_name}")
async def get_model(model_name: ModelName):
    if model_name is ModelName.alexnet:
        return {"model_name": model_name, "message": "Deep Learning FTW!"}

    if model_name.value == "lenet":

반환하면 안 되는 데이터를 과도하게 반환하지 않도록 하려면, [튜토리얼 - 응답 모델 - 반환 타입](../tutorial/response-model.md) 문서를 읽어보세요.

## 응답 성능 최적화 - 응답 모델 - 반환 타입 { #optimize-response-performance-response-model-return-type }

JSON 데이터를 반환할 때 성능을 최적화하려면 반환 타입 또는 응답 모델을 사용하세요. 그러면 Pydantic이 Python을 거치지 않고 Rust 측에서 JSON 직렬화를 처리합니다. 자세한 내용은 [튜토리얼 - 응답 모델 - 반환 타입](../tutorial/response-model.md) 문서를 참고하세요.

## 문서화 태그 - OpenAPI { #documentation-tags-openapi }

 * limitations under the License.
 */

package gradlebuild.buildutils.tasks

import com.google.gson.Gson
import com.google.gson.GsonBuilder
import gradlebuild.buildutils.model.ReleasedVersion
import gradlebuild.buildutils.model.ReleasedVersions
import org.gradle.util.GradleVersion
import java.io.File


fun bumpPatchVersion(version: String): String {
    val parts = version.split(".")

## Дополнительный ответ с `model` { #additional-response-with-model }

Вы можете передать вашим декораторам операции пути параметр `responses`.

Он принимает `dict`: ключи — это статус-коды для каждого ответа (например, `200`), а значения — другие `dict` с информацией для каждого из них.

Каждый из этих `dict` для ответа может иметь ключ `model`, содержащий Pydantic-модель, аналогично `response_model`.

				stmt.AddClause(clause.Where{Exprs: []clause.Expression{clause.IN{Column: column, Values: values}}})
			}

			if stmt.ReflectValue.CanAddr() && stmt.Dest != stmt.Model && stmt.Model != nil {
				_, queryValues = schema.GetIdentityFieldValuesMap(stmt.Context, reflect.ValueOf(stmt.Model), stmt.Schema.PrimaryFields)
				column, values = schema.ToQueryValues(stmt.Table, stmt.Schema.PrimaryFieldDBNames, queryValues)

				if len(values) > 0 {