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.github/workflows/latest-changes.yml
with: limit-access-to-actor: true - uses: docker://tiangolo/latest-changes:0.3.0 # - uses: tiangolo/latest-changes@main with: token: ${{ secrets.GITHUB_TOKEN }} latest_changes_file: docs/en/docs/release-notes.md latest_changes_header: '## Latest Changes' end_regex: '^## ' debug_logs: true
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.github/workflows/test.yml
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docs/en/docs/advanced/dataclasses.md
```Python hl_lines="1 7-12 19-20" {!../../../docs_src/dataclasses/tutorial001.py!} ``` This is still supported thanks to **Pydantic**, as it has <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">internal support for `dataclasses`</a>.
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.github/workflows/publish.yml
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docs/en/docs/external-links.md
{% endfor %} {% endfor %} {% endfor %} ## Projects Latest GitHub projects with the topic `fastapi`: <div class="github-topic-projects">
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docs/zh/docs/tutorial/response-model.md
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docs/en/docs/alternatives.md
* WebSocket support. * In-process background tasks. * Startup and shutdown events. * Test client built on HTTPX. * CORS, GZip, Static Files, Streaming responses. * Session and Cookie support. * 100% test coverage. * 100% type annotated codebase. * Few hard dependencies. Starlette is currently the fastest Python framework tested. Only surpassed by Uvicorn, which is not a framework, but a server.
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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`
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.github/workflows/test-redistribute.yml
name: Test Redistribute on: push: branches: - master pull_request: types: - opened - synchronize jobs: test-redistribute: runs-on: ubuntu-latest strategy: matrix: package: - fastapi - fastapi-slim steps: - name: Dump GitHub context env: GITHUB_CONTEXT: ${{ toJson(github) }}
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docs/ja/docs/tutorial/extra-data-types.md
* `datetime.timedelta`: * Pythonの`datetime.timedelta`です。 * リクエストとレスポンスでは合計秒数の`float`で表現されます。 * Pydanticでは「ISO 8601 time diff encoding」として表現することも可能です。<a href="https://docs.pydantic.dev/latest/concepts/serialization/" class="external-link" target="_blank">詳細はドキュメントを参照してください</a>。 * `frozenset`: * リクエストとレスポンスでは`set`と同じように扱われます: * リクエストでは、リストが読み込まれ、重複を排除して`set`に変換されます。 * レスポンスでは`set`が`list`に変換されます。
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