"input": "XL",
                }
            ],
            "body": {"title": "towel", "size": "XL"},
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["body", "size"],
                    "msg": "value is not a valid integer",

                                "anyOf": [{"type": "string"}, {"type": "null"}],
                            }
                        }
                    )
                    | IsDict(
                        # TODO: remove when deprecating Pydantic v1
                        {"name": {"title": "Name", "type": "string"}}
                    ),
                },
                "ValidationError": {

                                    "type": "string",
                                    "format": "uri",
                                }
                            )
                            # TODO: remove when deprecating Pydantic v1
                            | IsDict(
                                {
                                    "title": "Callback Url",
                                    "maxLength": 2083,

                            "items": {"$ref": "#/components/schemas/ValidationError"},
                        }
                    },
                },
            }
        },
    }


# TODO: remove when deprecating Pydantic v1
@needs_py39
@needs_pydanticv1
def test_openapi_schema_pv1(client: TestClient):
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text

But in most of the cases where we need to do something like this, we want the model just to **filter/remove** some of the data as in this example.

* Einfache Python-Integration mit **Jupyter-Kerneln** für Remote- oder In-Docker-Entwicklung mit Erweiterungen wie Atom Hydrogen oder Visual Studio Code Jupyter.
* **Vue**-Frontend:
    * Mit Vue CLI generiert.
    * Handhabung der **JWT-Authentifizierung**.
    * Login-View.

```console
$ <font color="#4E9A06">fastapi</font> dev <u style="text-decoration-style:single">main.py</u>
<font color="#3465A4">INFO    </font> Using path <font color="#3465A4">main.py</font>
<font color="#3465A4">INFO    </font> Resolved absolute path <font color="#75507B">/home/user/code/awesomeapp/</font><font color="#AD7FA8">main.py</font>

* 📝 Update docs, remove references to removed `pydantic.Required` in `docs/en/docs/tutorial/query-params-str-validations.md`. PR [#10469](https://github.com/tiangolo/fastapi/pull/10469) by [@yogabonito](https://github.com/yogabonito).
* ✏️ Fix typo in `docs/en/docs/reference/index.md`. PR [#10467](https://github.com/tiangolo/fastapi/pull/10467) by [@tarsil](https://github.com/tarsil).

        dist_path = site_path
        # Don't remove en dist_path as it might already contain other languages.
        # When running build_all(), that function already removes site_path.
        # All this is only relevant locally, on GitHub Actions all this is done through
        # artifacts and multiple workflows, so it doesn't matter if directories are
        # removed or not.
    else:
        dist_path = site_path / lang

        # TODO: remove when deprecating Pydantic v1
        "Param(Ellipsis)",
    )


def test_param_repr_number():
    assert repr(Param(1)) == "Param(1)"


def test_param_repr_list():
    assert repr(Param([])) == "Param([])"


def test_path_repr():
    assert repr(Path()) == IsOneOf(
        "Path(PydanticUndefined)",
        # TODO: remove when deprecating Pydantic v1