application, it is not specified by the WebSocket specification.

                It could contain text that could be human-readable or interpretable
                by the client code, etc.
                """
            ),
        ] = None,
    ) -> None:
        super().__init__(code=code, reason=reason)


RequestErrorModel: type[BaseModel] = create_model("Request")

            fields to exclude.
            """
        ),
    ] = None,
    by_alias: Annotated[
        bool,
        Doc(
            """
            Pydantic's `by_alias` parameter, passed to Pydantic models to define if
            the output should use the alias names (when provided) or the Python

### Grammar and tone

1) Use clear, concise technical Chinese consistent with existing docs.
2) Address the reader naturally (commonly using “你/你的”).

### Headings

1) Follow existing Simplified Chinese heading style (short and descriptive).
2) Do not add trailing punctuation to headings.
3) If a heading contains only the name of a FastAPI feature, do not translate it.

### Quotes and punctuation

                should have all the fields, including the ones that have the same value
                as the default. This is different from `response_model_exclude_unset`
                in that if the fields are set but contain the same default values,
                they will be excluded from the response.

                When `True`, default values are omitted from the response.

            should start (the code before `yield`) and when it should end (the code
            after `yield`).

            * `"function"`: start the dependency before the *path operation function*
                that handles the request, end the dependency after the *path operation
                function* ends, but **before** the response is sent back to the client.

sentence, and these additional abbr elements do not exist in the related sentence in the English text, then KEEP those additional abbr elements in the translation. Do not remove them. Except when you remove the whole sentence from the translation, because the whole sentence was removed from the English text, then also remove the abbr element. The reasoning for this rule is, that such additional abbr elements are manually added by the human editor of the translation, in order to translate or explain an English...

    assert response.json() == snapshot(
        {
            "components": {
                "schemas": {
                    "Address": {
                        # NOTE: the description of this model shows only the public-facing text, before the `\f` in docstring
                        "description": "This is a public description of an Address\n",
                        "properties": {

from sqlmodel.main import default_registry

from tests.utils import needs_py310


def clear_sqlmodel():
    # Clear the tables in the metadata for the default base model
    SQLModel.metadata.clear()
    # Clear the Models associated with the registry, to avoid warnings
    default_registry.dispose()


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial002_py39"),

  ...

                    "properties": {
                        "name": {"title": "Name", "type": "string"},
                        "description": {
                            "title": "The description of the item",
                            "anyOf": [
                                {"maxLength": 300, "type": "string"},
                                {"type": "null"},
                            ],