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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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docs/em/docs/tutorial/extra-data-types.md
Alejandra <******@****.***> 1711071731 -0500
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docs/ko/docs/tutorial/extra-data-types.md
Nayeon Kim <******@****.***> 1718333110 +0900
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cmd/data-scanner-metric.go
Klaus Post <******@****.***> 1695618931 -0700
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docs/ru/docs/tutorial/extra-data-types.md
Alejandra <******@****.***> 1711071731 -0500
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tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/tf-data-pipeline.pbtxt
Mehdi Amini <******@****.***> 1627532843 -0700
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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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cmd/dummy-data-generator_test.go
Klaus Post <******@****.***> 1663610716 +0200
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cmd/data-usage-cache_test.go
Krishnan Parthasarathi <******@****.***> 1705132268 -0800
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docs/uk/docs/tutorial/extra-data-types.md
Alejandra <******@****.***> 1711071731 -0500
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