}

	var maxId int64
	userTable := func(db *gorm.DB) *gorm.DB {
		return db.WithContext(context.Background()).Table("users")
	}
	if err := DB.Scopes(userTable).Select("max(id)").Scan(&maxId).Error; err != nil {
		t.Errorf("select max(id)")
	}
}

func TestComplexScopes(t *testing.T) {
	tests := []struct {
		name     string
		queryFn  func(tx *gorm.DB) *gorm.DB
		expected string
	}{
		{
			name: "depth_1",

@Retention(RetentionPolicy.RUNTIME)
@Target(ElementType.FIELD)
public @interface Resolution {

    /**
     * The id of a {@link org.apache.maven.api.PathScope} enum value.
     * If specified, a dependency resolution request will be issued,
     * else a dependency collection request will be done.
     *
     * @return the id of the path scope
     */
    String pathScope() default "";

    /**

plugins {
    id("gradlebuild.build-logic.kotlin-dsl-gradle-plugin")
}

description = "Provides a plugin to minify and correct metadata for dependencies used by Gradle"

dependencies {
    implementation("gradlebuild:basics")
    implementation("com.google.code.gson:gson")

            },
            "Item": {
                "title": "Item",
                "required": [
                    "id",
                    "value"
                ],
                "type": "object",
                "properties": {
                    "id": {
                        "title": "Id",
                        "type": "string"
                    },
                    "value": {

from fastapi.responses import StreamingResponse
from sqlmodel import Field, Session, SQLModel, create_engine

engine = create_engine("postgresql+psycopg://postgres:postgres@localhost/db")


class User(SQLModel, table=True):
    id: int | None = Field(default=None, primary_key=True)
    name: str


app = FastAPI()


def get_session():
    with Session(engine) as session:
        yield session

                    "parameters": [
                        {
                            "required": True,
                            "schema": {"title": "Item Id", "type": "string"},
                            "example": "item_1",
                            "name": "item_id",
                            "in": "path",
                        }
                    ],

        Type type = typeRegistry.require(typeId);
        if (type instanceof ArtifactType artifactType) {
            return artifactType;
        }
        return new DefaultType(
                type.id(),
                type.getLanguage(),
                type.getExtension(),
                type.getClassifier(),
                type.isIncludesDependencies(),
                type.getPathTypes().toArray(new PathType[0]));

def main(user_id: str):
    return user_id


# Модель Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Это можно использовать так:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

from typing import Annotated

from fastapi import FastAPI, Path

app = FastAPI()


@app.get("/items/{item_id}")
async def read_items(
    q: str, item_id: Annotated[int, Path(title="The ID of the item to get")]
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})

from typing import Annotated

from fastapi import FastAPI, Path

app = FastAPI()


@app.get("/items/{item_id}")
async def read_items(
    item_id: Annotated[int, Path(title="The ID of the item to get")], q: str
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})