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  1. docs/en/docs/tutorial/extra-data-types.md

    # Extra Data Types
    
    Up to now, you have been using common data types, like:
    
    * `int`
    * `float`
    * `str`
    * `bool`
    
    But you can also use more complex data types.
    
    And you will still have the same features as seen up to now:
    
    * Great editor support.
    * Data conversion from incoming requests.
    * Data conversion for response data.
    * Data validation.
    * Automatic annotation and documentation.
    
    ## Other data types
    
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  2. docs/em/docs/tutorial/extra-data-types.md

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  3. docs/ko/docs/tutorial/extra-data-types.md

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  4. cmd/data-scanner-metric.go

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  5. docs/ru/docs/tutorial/extra-data-types.md

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  6. tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/tf-data-pipeline.pbtxt

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  7. docs/zh/docs/tutorial/extra-data-types.md

    * `Decimal`:
        * 标准的 Python `Decimal`。
        * 在请求和响应中被当做 `float` 一样处理。
    * 您可以在这里检查所有有效的pydantic数据类型: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic data types</a>.
    
    ## 例子
    
    下面是一个*路径操作*的示例,其中的参数使用了上面的一些类型。
    
    === "Python 3.10+"
    
        ```Python hl_lines="1  3  12-16"
        {!> ../../../docs_src/extra_data_types/tutorial001_an_py310.py!}
        ```
    
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  8. cmd/dummy-data-generator_test.go

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  9. cmd/data-usage-cache_test.go

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  10. docs/uk/docs/tutorial/extra-data-types.md

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