"""

    media_type = "text/event-stream"


def _check_id_no_null(v: str | None) -> str | None:
    if v is not None and "\0" in v:
        raise ValueError("SSE 'id' must not contain null characters")
    return v


class ServerSentEvent(BaseModel):
    """Represents a single Server-Sent Event.

    When `yield`ed from a *path operation function* that uses

    "isbn-9781439512982": "Isaac Asimov: The Complete Stories, Vol. 2",
}


def check_valid_id(id: str):
    if not id.startswith(("isbn-", "imdb-")):
        raise ValueError('Invalid ID format, it must start with "isbn-" or "imdb-"')
    return id


@app.get("/items/")
async def read_items(
    id: Annotated[str | None, AfterValidator(check_valid_id)] = None,
):
    if id:

import pytest
from fastapi import FastAPI, UploadFile
from fastapi.datastructures import Default
from fastapi.testclient import TestClient


def test_upload_file_invalid_pydantic_v2():
    with pytest.raises(ValueError):
        UploadFile._validate("not a Starlette UploadFile", {})


def test_default_placeholder_equals():
    placeholder_1 = Default("a")
    placeholder_2 = Default("a")
    assert placeholder_1 == placeholder_2

        )

        # Write back the fixed document
        doc_lines.append("")  # Ensure file ends with a newline
        path.write_text("\n".join(doc_lines), encoding="utf-8")

    except ValueError as e:
        print(f"Error processing {path}: {e}")
        return False
    return True


@cli.command()
def fix_all(ctx: typer.Context, language: str):
    docs = get_all_paths(language)

            elif isinstance(values[0], list):
                resolve_files(items=values[0], files=files, config=config)
            else:
                raise ValueError(f"Unexpected value: {values}")


def on_files(files: Files, *, config: MkDocsConfig) -> Files:
    resolve_files(items=config.nav or [], files=files, config=config)
    if "logo" in config.theme:

    assert jsonable_encoder(item, exclude={}) == {"name": "foo", "count": 100}


def test_encode_unsupported():
    unserializable = Unserializable()
    with pytest.raises(ValueError):
        jsonable_encoder(unserializable)


def test_encode_custom_json_encoders_model_pydanticv2():
    from pydantic import field_serializer

    class ModelWithCustomEncoder(BaseModel):

        return await super().close()

    @classmethod
    def _validate(cls, __input_value: Any, _: Any) -> "UploadFile":
        if not isinstance(__input_value, StarletteUploadFile):
            raise ValueError(f"Expected UploadFile, received: {type(__input_value)}")
        return cast(UploadFile, __input_value)

    @classmethod
    def __get_pydantic_json_schema__(

                raise self.make_not_authenticated_error()
            else:
                return None
        try:
            data = b64decode(param).decode("ascii")
        except (ValueError, UnicodeDecodeError, binascii.Error) as e:
            raise self.make_not_authenticated_error() from e
        username, separator, password = data.partition(":")
        if not separator:

    except Exception as e:
        errors: list[Exception] = []
        errors.append(e)
        try:
            data = vars(obj)
        except Exception as e:
            errors.append(e)
            raise ValueError(errors) from e
    return jsonable_encoder(
        data,
        include=include,
        exclude=exclude,
        by_alias=by_alias,
        exclude_unset=exclude_unset,

                lang_code=language,
                auto_fix=False,
                path=str(out_path),
            )
            break  # Exit loop if no errors
        except ValueError as e:
            print(
                f"Translation check failed on attempt {attempt_no}/{MAX_ATTEMPTS}: {e}"
            )
            continue  # Retry if not reached max attempts