}
	}

	r = dryDB.Table("(?) as u", DB.Model(&User{}).Select("name")).Find(&User{}).Statement
	if !regexp.MustCompile("SELECT \\* FROM \\(SELECT .name. FROM .users. WHERE .users.\\..deleted_at. IS NULL\\) as u WHERE .u.\\..deleted_at. IS NULL").MatchString(r.Statement.SQL.String()) {
		t.Errorf("Table with escape character, got %v", r.Statement.SQL.String())
	}

 * @see Source
 */
public interface ModelSource extends Source {

    /**
     * Returns the model identifier in the format {@code groupId:artifactId:version}
     * if this source represents a resolved artifact with known coordinates.
     * <p>
     * This method is primarily used by resolved sources to provide the model ID
     * without requiring the XML to be parsed. For build sources, this typically

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.model.building;

import org.apache.maven.model.Model;

/**
 * Describes a problem that was encountered during model building. A problem can either be an exception that was thrown

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.toolchain;

import java.io.File;

import org.apache.maven.toolchain.model.PersistedToolchains;

/**
 * Builds the toolchains model from a previously configured filesystem path to the toolchains file.
 * <strong>Note:</strong> This is an internal component whose interface can change without prior notice.
 *

Por supuesto, probablemente encontrarás formas mucho mejores de aprovechar esto que formatear JSON. 😉

### `orjson` o Response Model { #orjson-or-response-model }

Si lo que buscas es rendimiento, probablemente te convenga más usar un [Response Model](../tutorial/response-model.md) que un response con `orjson`.

{* ../../docs_src/path_params/tutorial005_py310.py hl[1,6:9] *}

/// tip

If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <dfn title="Technically, Deep Learning model architectures">models</dfn>.

///

### Declare a *path parameter* { #declare-a-path-parameter }

Then create a *path parameter* with a type annotation using the enum class you created (`ModelName`):

///

/// check | 確認

依存関係システムがこのように設計されているおかげで、 `User` モデルを返却する別の依存関係（別の「dependables」）を持つことができます。

同じデータ型を返却する依存関係は一つだけしか持てない、という制約が入ることはないのです。

///

## 別のモデル { #other-models }

これで、*path operation 関数* の中で現在のユーザーを直接取得し、`Depends` を使って、 **依存性注入** レベルでセキュリティメカニズムを処理できるようになりました。

そして、セキュリティ要件のためにどんなモデルやデータでも利用することができます。（この場合は、 Pydanticモデルの `User`）

しかし、特定のデータモデルやクラス、型に制限されることはありません。

import java.util.List;
import java.util.Map;
import java.util.Properties;

import org.apache.maven.model.Activation;
import org.apache.maven.model.Profile;
import org.apache.maven.model.building.ModelProblem;
import org.apache.maven.model.profile.DefaultProfileActivationContext;
import org.apache.maven.model.profile.ProfileSelector;
import org.apache.maven.profiles.activation.ProfileActivationException;

```mermaid
graph TB
    subgraph "❌ Not Supported"
        direction TB
        subgraph V2["Pydantic v2 Model"]
            V1Field["Pydantic v1 Model"]
        end
        subgraph V1["Pydantic v1 Model"]
            V2Field["Pydantic v2 Model"]
        end
    end

    style V2 fill:#f9fff3
    style V1 fill:#fff6f0
    style V1Field fill:#fff6f0
    style V2Field fill:#f9fff3

        } else {
            str
        }

    override fun createFunctionalTestsFor(
        model: CIBuildModel,
        stage: Stage,
        testCoverage: TestCoverage,
        bucketIndex: Int,
    ): FunctionalTest =
        FunctionalTest(
            model,
            testCoverage.getBucketUuid(model, bucketIndex),
            getName(testCoverage),
            getDescription(testCoverage),