from typing import Annotated, Literal

from fastapi import FastAPI, Query
from pydantic import BaseModel, Field

app = FastAPI()


class FilterParams(BaseModel):
    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")
async def read_items(filter_query: Annotated[FilterParams, Query()]):

from fastapi import FastAPI, Query
from pydantic import BaseModel, Field

app = FastAPI()


class FilterParams(BaseModel):
    model_config = {"extra": "forbid"}

    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")
async def read_items(filter_query: FilterParams = Query()):

            String pomXml = PomBuilder.create()
                    .groupId("test")
                    .artifactId("test")
                    .version("1.0.0")
                    .plugin("org.apache.maven.plugins", "maven-compiler-plugin", "3.8.1")
                    .build();

            Document document = Document.of(pomXml);

				Name:      "01894394-d046-4783-ba0d-f1c6885790dc",
				Compress:  true,
				Extension: ".event",
				ItemCount: 100,
			},
			expectedString: "100:01894394-d046-4783-ba0d-f1c6885790dc.event.snappy",
		},
		{
			key: Key{
				Name:      "01894394-d046-4783-ba0d-f1c6885790dc",
				Extension: ".event",
				ItemCount: 100,
			},
			expectedString: "100:01894394-d046-4783-ba0d-f1c6885790dc.event",
		},
		{
			key: Key{

## About Pydantic { #about-pydantic }

Pydantic includes the tests for **FastAPI** with its own tests, so new versions of Pydantic (above `1.0.0`) are always compatible with FastAPI.

You can pin Pydantic to any version above `1.0.0` that works for you.

For example:

```txt
pydantic>=2.7.0,<3.0.0

## Sobre Pydantic { #about-pydantic }

Pydantic incluye los tests para **FastAPI** con sus propios tests, así que nuevas versiones de Pydantic (por encima de `1.0.0`) siempre son compatibles con FastAPI.

Puedes fijar Pydantic a cualquier versión por encima de `1.0.0` que funcione para ti.

Por ejemplo:

```txt
pydantic>=2.7.0,<3.0.0

		},
		ExpectedVars: []interface{}{100},
		Result:       "SUM(`id`) = ?",
	}, {
		Expressions: []clause.Expression{
			clause.Gte{Column: clause.Expr{SQL: "SUM(?)", Vars: []interface{}{clause.Column{Table: "users", Name: "id"}}}, Value: 100},
		},
		ExpectedVars: []interface{}{100},
		Result:       "SUM(`users`.`id`) >= ?",
	}}

    ) -> dict[str, Any]:
        return {"item": item}

    client = TestClient(app)
    response = client.post("/items/?q=first", json={"value": "first", "price": 100})
    assert response.status_code == 200, response.text
    assert response.json() == {"item": {"value": "first", "price": 100}}

    response = client.post("/items/?q=other", json={"value": "other", "price": 100.5})
    assert response.status_code == 200, response.text

# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.10.0.dev
tb-nightly ~= 2.20.0.a
# For new protobuf, if V.x.y is gencode version, then runtime version U must be
# V <= U <= V+1
# More info at https://protobuf.dev/support/cross-version-runtime-guarantee/
protobuf >= 5.28.0, < 7.0

	defer a.Free()

	tt := arena.New[T1](a)
	tt.n = 1

	ts := arena.MakeSlice[T1](a, 99, 100)
	if len(ts) != 99 {
		t.Errorf("Slice() len = %d, want 99", len(ts))
	}
	if cap(ts) != 100 {
		t.Errorf("Slice() cap = %d, want 100", cap(ts))
	}
	ts[1].n = 42
}

func TestSmokeLarge(t *testing.T) {
	a := arena.NewArena()
	defer a.Free()
	for i := 0; i < 10*64; i++ {
		_ = arena.New[T2](a)
	}