Sebastián Ramírez <******@****.***> 1688749933 +0200

                """
                Configuration passed to Pydantic to define if the response data
                should have all the fields, including the ones that were not set and
                have their default values. This is different from
                `response_model_exclude_defaults` in that if the fields are set,
                they will be included in the response, even if the value is the same
                as the default.

                "email-validator not installed, email fields will be treated as str.\n"
                "To install, run: pip install email-validator"
            )
            return str(v)

        @classmethod
        def _validate(cls, __input_value: Any, _: Any) -> str:
            logger.warning(
                "email-validator not installed, email fields will be treated as str.\n"

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient


@pytest.fixture(name="client")
def get_client():
    from docs_src.body_fields.tutorial001_an import app

    client = TestClient(app)
    return client


def test_items_5(client: TestClient):
    response = client.put("/items/5", json={"item": {"name": "Foo", "price": 3.0}})
    assert response.status_code == 200
    assert response.json() == {

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from ...utils import needs_py39


@pytest.fixture(name="client")
def get_client():
    from docs_src.body_fields.tutorial001_an_py39 import app

    client = TestClient(app)
    return client


@needs_py39
def test_items_5(client: TestClient):
    response = client.put("/items/5", json={"item": {"name": "Foo", "price": 3.0}})

        )[0]

    def get_compat_model_name_map(fields: List[ModelField]) -> ModelNameMap:
        models = get_flat_models_from_fields(fields, known_models=set())
        return get_model_name_map(models)  # type: ignore[no-any-return]

    def get_definitions(
        *,
        fields: List[ModelField],
        schema_generator: GenerateJsonSchema,
        model_name_map: ModelNameMap,

                response_field = create_response_field(name=response_name, type_=model)
                response_fields[additional_status_code] = response_field
        if response_fields:
            self.response_fields: Dict[Union[int, str], ModelField] = response_fields
        else:
            self.response_fields = {}

        assert callable(endpoint), "An endpoint must be a callable"

            Pydantic's `include` parameter, passed to Pydantic models to set the
            fields to include.
            """
        ),
    ] = None,
    exclude: Annotated[
        Optional[IncEx],
        Doc(
            """
            Pydantic's `exclude` parameter, passed to Pydantic models to set the
            fields to exclude.
            """
        ),
    ] = None,
    by_alias: Annotated[

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient


@pytest.fixture(name="client")
def get_client():
    from docs_src.body_fields.tutorial001 import app

    client = TestClient(app)
    return client


def test_items_5(client: TestClient):
    response = client.put("/items/5", json={"item": {"name": "Foo", "price": 3.0}})
    assert response.status_code == 200
    assert response.json() == {

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(name="client")
def get_client():
    from docs_src.body_fields.tutorial001_py310 import app

    client = TestClient(app)
    return client


@needs_py310
def test_items_5(client: TestClient):
    response = client.put("/items/5", json={"item": {"name": "Foo", "price": 3.0}})