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  1. docs/en/docs/tutorial/response-model.md

    * `tax: float = 10.5` has a default of `10.5`.
    * `tags: List[str] = []` has a default of an empty list: `[]`.
    
    but you might want to omit them from the result if they were not actually stored.
    
    For example, if you have models with many optional attributes in a NoSQL database, but you don't want to send very long JSON responses full of default values.
    
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  2. docs/zh/docs/tutorial/response-model.md

    !!! info
        你还可以使用:
    
        * `response_model_exclude_defaults=True`
        * `response_model_exclude_none=True`
    
        参考 <a href="https://docs.pydantic.dev/latest/concepts/serialization/#modeldict" class="external-link" target="_blank">Pydantic 文档</a> 中对 `exclude_defaults` 和 `exclude_none` 的描述。
    
    #### 默认值字段有实际值的数据
    
    但是,如果你的数据在具有默认值的模型字段中有实际的值,例如 ID 为 `bar` 的项:
    
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  3. docs/ja/docs/tutorial/response-model.md

    !!! info "情報"
        以下も使用することができます:
    
        * `response_model_exclude_defaults=True`
        * `response_model_exclude_none=True`
    
        `exclude_defaults`と`exclude_none`については、<a href="https://docs.pydantic.dev/latest/concepts/serialization/#modeldict" class="external-link" target="_blank">Pydanticのドキュメント</a>で説明されている通りです。
    
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  4. docs/en/docs/alternatives.md

    They are, more or less, at opposite ends, complementing each other.
    
    Requests has a very simple and intuitive design, it's very easy to use, with sensible defaults. But at the same time, it's very powerful and customizable.
    
    That's why, as said in the official website:
    
    > Requests is one of the most downloaded Python packages of all time
    
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  5. docs/de/docs/tutorial/response-model.md

    !!! info
        Sie können auch:
    
        * `response_model_exclude_defaults=True`
        * `response_model_exclude_none=True`
    
        verwenden, wie in der <a href="https://docs.pydantic.dev/1.10/usage/exporting_models/#modeldict" class="external-link" target="_blank">Pydantic Dokumentation</a> für `exclude_defaults` und `exclude_none` beschrieben.
    
    #### Daten mit Werten für Felder mit Defaultwerten
    
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  6. pyproject.toml

        "B",  # flake8-bugbear
        "C4",  # flake8-comprehensions
        "UP",  # pyupgrade
    ]
    ignore = [
        "E501",  # line too long, handled by black
        "B008",  # do not perform function calls in argument defaults
        "C901",  # too complex
        "W191",  # indentation contains tabs
    ]
    
    [tool.ruff.lint.per-file-ignores]
    "__init__.py" = ["F401"]
    "docs_src/dependencies/tutorial007.py" = ["F821"]
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  7. docs/em/docs/tutorial/response-model.md

    !!! info
        👆 💪 ⚙️:
    
        * `response_model_exclude_defaults=True`
        * `response_model_exclude_none=True`
    
        🔬 <a href="https://docs.pydantic.dev/latest/concepts/serialization/#modeldict" class="external-link" target="_blank">Pydantic 🩺</a> `exclude_defaults` &amp; `exclude_none`.
    
    #### 📊 ⏮️ 💲 🏑 ⏮️ 🔢
    
    ✋️ 🚥 👆 📊 ✔️ 💲 🏷 🏑 ⏮️ 🔢 💲, 💖 🏬 ⏮️ 🆔 `bar`:
    
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  8. fastapi/params.py

            json_schema_extra: Union[Dict[str, Any], None] = None,
            **extra: Any,
        ):
            assert default is ..., "Path parameters cannot have a default value"
            self.in_ = self.in_
            super().__init__(
                default=default,
                default_factory=default_factory,
                annotation=annotation,
                alias=alias,
                alias_priority=alias_priority,
    Python
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  9. fastapi/param_functions.py

            item_id: Annotated[int, Path(title="The ID of the item to get")],
        ):
            return {"item_id": item_id}
        ```
        """
        return params.Path(
            default=default,
            default_factory=default_factory,
            alias=alias,
            alias_priority=alias_priority,
            validation_alias=validation_alias,
            serialization_alias=serialization_alias,
            title=title,
    Python
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  10. fastapi/utils.py

        Create a new response field. Raises if type_ is invalid.
        """
        class_validators = class_validators or {}
        if PYDANTIC_V2:
            field_info = field_info or FieldInfo(
                annotation=type_, default=default, alias=alias
            )
        else:
            field_info = field_info or FieldInfo()
        kwargs = {"name": name, "field_info": field_info}
        if PYDANTIC_V2:
            kwargs.update({"mode": mode})
        else:
    Python
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