"price": IsDict(
                            {
                                "title": "Price",
                                "anyOf": [{"type": "number"}, {"type": "null"}],
                            }
                        )
                        # TODO: remove when deprecating Pydantic v1
                        | IsDict({"title": "Price", "type": "number"}),
                    },

                            "schema": IsDict(
                                {
                                    "anyOf": [{"type": "string"}, {"type": "null"}],
                                    "title": "Item Id",
                                }
                            )
                            # TODO: remove when deprecating Pydantic v1
                            | IsDict({"title": "Item Id", "type": "string"}),

				</div>
			</div>
			<div class="form-group row">
				<label for="as_occt" class="col-lg-3 col-md-4 col-sm-5 col-12 col-form-label"><la:message
						key="labels.advance_search_occt"
					/></label>
				<div class="col-lg-5 col-md-8 col-sm-7 col-xs-6">
					<select id="as_occt" name="as.occt" class="form-control">
						<option value=""><la:message key="labels.advance_search_occt_default" /></option>

				</div>
			</div>
			<div class="form-group row">
				<label for="as_occt" class="col-lg-3 col-md-4 col-sm-5 col-12 col-form-label"><la:message
						key="labels.advance_search_occt"
					/></label>
				<div class="col-lg-5 col-md-8 col-sm-7 col-xs-6">
					<select id="as_occt" name="as.occt" class="form-control">
						<option value=""><la:message key="labels.advance_search_occt_default" /></option>

            # TODO: remove when deprecating Pydantic v1
            custom_encoder=encoders,
            sqlalchemy_safe=sqlalchemy_safe,
        )
    if dataclasses.is_dataclass(obj):
        obj_dict = dataclasses.asdict(obj)
        return jsonable_encoder(
            obj_dict,
            include=include,
            exclude=exclude,
            by_alias=by_alias,
            exclude_unset=exclude_unset,

* `tf.experimental.ExtensionType`
  * Added function `experimental.extension_type.as_dict()`, which converts an instance of `tf.experimental.ExtensionType` to a `dict` representation.
* `stream_executor`

                exclude_none=exclude_none,
            )
            for k, v in res.items()
        }
    elif dataclasses.is_dataclass(res):
        return dataclasses.asdict(res)
    return res


def _merge_lifespan_context(
    original_context: Lifespan[Any], nested_context: Lifespan[Any]
) -> Lifespan[Any]:
    @asynccontextmanager
    async def merged_lifespan(