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requirements-docs.txt
jieba==0.42.1 # For image processing by Material for MkDocs pillow==10.3.0 # For image processing by Material for MkDocs cairosvg==2.7.0 mkdocstrings[python]==0.24.3 griffe-typingdoc==0.2.2 # For griffe, it formats with black black==24.3.0
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docs/ja/docs/tutorial/request-forms.md
## `Form`のインポート `fastapi`から`Form`をインポートします: ```Python hl_lines="1" {!../../../docs_src/request_forms/tutorial001.py!} ``` ## `Form`のパラメータの定義 `Body`や`Query`の場合と同じようにフォームパラメータを作成します: ```Python hl_lines="7" {!../../../docs_src/request_forms/tutorial001.py!} ``` 例えば、OAuth2仕様が使用できる方法の1つ(「パスワードフロー」と呼ばれる)では、フォームフィールドとして`username`と`password`を送信する必要があります。
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docs/ru/docs/tutorial/request-forms-and-files.md
## Импортируйте `File` и `Form` === "Python 3.9+" ```Python hl_lines="3" {!> ../../../docs_src/request_forms_and_files/tutorial001_an_py39.py!} ``` === "Python 3.6+" ```Python hl_lines="1" {!> ../../../docs_src/request_forms_and_files/tutorial001_an.py!} ``` === "Python 3.6+ без Annotated" !!! tip "Подсказка"
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tests/test_tutorial/test_extra_data_types/test_tutorial001.py
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tests/test_additional_responses_custom_model_in_callback.py
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scripts/lint.sh
#!/usr/bin/env bash set -e set -x mypy fastapi ruff check fastapi tests docs_src scripts
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tests/test_tutorial/test_request_files/test_tutorial001_03.py
"file": { "title": "File", "type": "string", "description": "A file read as bytes", "format": "binary", } }, }, "Body_create_upload_file_uploadfile__post": { "title": "Body_create_upload_file_uploadfile__post",
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docs/en/docs/contributing.md
### Format the code There is a script that you can run that will format and clean all your code: <div class="termy"> ```console $ bash scripts/format.sh ``` </div> It will also auto-sort all your imports.
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docs/pt/docs/tutorial/index.md
Mas você deveria ler primeiro o **Tutorial - Guia de Usuário** (que você está lendo agora).
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docs/en/docs/advanced/dataclasses.md
In this case, it's a list of `Item` dataclasses. 6. Here we are returning a dictionary that contains `items` which is a list of dataclasses. FastAPI is still capable of <abbr title="converting the data to a format that can be transmitted">serializing</abbr> the data to JSON. 7. Here the `response_model` is using a type annotation of a list of `Author` dataclasses. Again, you can combine `dataclasses` with standard type annotations.
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