"5XX",
    }:
        return True
    current_status_code = int(status_code)
    return not (current_status_code < 200 or current_status_code in {204, 205, 304})


def get_path_param_names(path: str) -> set[str]:
    return set(re.findall("{(.*?)}", path))


_invalid_args_message = (
    "Invalid args for response field! Hint: "
    "check that {type_} is a valid Pydantic field type. "

* «the startup» (of the server): «das Hochfahren»
* «the startup» (the company): «das Startup»
* «the SDK»: «das SDK»
* «the tag»: «der Tag»
* «the type annotation»: «die Typannotation»
* «the type hint»: «der Typhinweis»
* «the wildcard»: «die Wildcard»
* «the worker class»: «die Workerklasse»
* «the worker class»: NOT «die Arbeiterklasse»
* «the worker process»: «der Workerprozess»

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/")

    response = client.get("/path/param-le-int/3")
    assert response.status_code == 200
    assert response.json() == 3


def test_path_param_le_int_2():
    response = client.get("/path/param-le-int/2")
    assert response.status_code == 200
    assert response.json() == 2


def test_path_param_le_int_2_7():
    response = client.get("/path/param-le-int/2.7")
    assert response.status_code == 422

def dep_a():
    return 40


def dep_b(a: Annotated[int, Depends(dep_a)]):
    return a + 2


class ItemIn(BaseModel):
    name: str
    value: int


class ItemOut(BaseModel):
    name: str
    value: int
    dep: int


class LargeIn(BaseModel):
    items: list[dict[str, Any]]
    metadata: dict[str, Any]

        ge: Optional[float] = None,
        lt: Optional[float] = None,
        le: Optional[float] = None,
        min_length: Optional[int] = None,
        max_length: Optional[int] = None,
        pattern: Optional[str] = None,
        regex: Annotated[
            Optional[str],
            deprecated(
                "Deprecated in FastAPI 0.100.0 and Pydantic v2, use `pattern` instead."
            ),

"docs_src/security/tutorial005_py39.py" = ["B904"]
"docs_src/dependencies/tutorial008b_py39.py" = ["B904"]
"docs_src/dependencies/tutorial008b_an_py39.py" = ["B904"]


[tool.ruff.lint.isort]
known-third-party = ["fastapi", "pydantic", "starlette"]

[tool.ruff.lint.pyupgrade]
# Preserve types, even if a file imports `from __future__ import annotations`.
keep-runtime-typing = true

[tool.inline-snapshot]
# default-flags=["fix"]

    response = client.get("/query/int/default")
    assert response.status_code == 200
    assert response.json() == "foo bar 10"


def test_query_int_default_query_50():
    response = client.get("/query/int/default?query=50")
    assert response.status_code == 200
    assert response.json() == "foo bar 50"


def test_query_int_default_query_foo():
    response = client.get("/query/int/default?query=foo")

                            "name": "item_id",
                            "in": "path",
                        }
                    ],
                }
            },
            "/path/int/{item_id}": {
                "get": {
                    "responses": {
                        "200": {
                            "description": "Successful Response",

# Adapted from Pydantic v1
# TODO: pv2 should this return strings instead?
def decimal_encoder(dec_value: Decimal) -> Union[int, float]:
    """
    Encodes a Decimal as int if there's no exponent, otherwise float

    This is useful when we use ConstrainedDecimal to represent Numeric(x,0)
    where an integer (but not int typed) is used. Encoding this as a float
    results in failed round-tripping between encode and parse.