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.github/workflows/test.yml
pull_request: types: - opened - synchronize schedule: # cron every week on monday - cron: "0 0 * * 1" jobs: lint: runs-on: ubuntu-latest steps: - name: Dump GitHub context env: GITHUB_CONTEXT: ${{ toJson(github) }} run: echo "$GITHUB_CONTEXT" - uses: actions/checkout@v4 - name: Set up Python uses: actions/setup-python@v5
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.github/workflows/publish.yml
jobs: publish: runs-on: ubuntu-latest strategy: matrix: package: - fastapi - fastapi-slim permissions: id-token: write steps: - name: Dump GitHub context env: GITHUB_CONTEXT: ${{ toJson(github) }} run: echo "$GITHUB_CONTEXT" - uses: actions/checkout@v4 - name: Set up Python uses: actions/setup-python@v5
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.github/workflows/test-redistribute.yml
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.github/workflows/latest-changes.yml
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docs/en/docs/how-to/async-sql-encode-databases.md
``` !!! info In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`. The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2. !!! note Notice that as we communicate with the database using `await`, the *path operation function* is declared with `async`.
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.github/actions/people/app/main.py
github_sponsors_old_content = github_sponsors_path.read_text(encoding="utf-8") new_people_content = yaml.dump( people, sort_keys=False, width=200, allow_unicode=True ) new_github_sponsors_content = yaml.dump( github_sponsors, sort_keys=False, width=200, allow_unicode=True ) if ( people_old_content == new_people_content
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Mar 26 17:38:21 GMT 2024 - 19.2K bytes - Viewed (1) -
docs/en/docs/tutorial/response-model.md
} ``` !!! info In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`. The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2. !!! info
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.github/workflows/label-approved.yml
name: Label Approved on: schedule: - cron: "0 12 * * *" workflow_dispatch: jobs: label-approved: if: github.repository_owner == 'tiangolo' runs-on: ubuntu-latest steps: - name: Dump GitHub context env: GITHUB_CONTEXT: ${{ toJson(github) }} run: echo "$GITHUB_CONTEXT" - uses: docker://tiangolo/label-approved:0.0.4 with: token: ${{ secrets.FASTAPI_LABEL_APPROVED }}
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docs/de/docs/tutorial/body-updates.md
Wenn Sie Teil-Aktualisierungen entgegennehmen, ist der `exclude_unset`-Parameter in der `.model_dump()`-Methode von Pydantic-Modellen sehr nützlich. Wie in `item.model_dump(exclude_unset=True)`. !!! info In Pydantic v1 hieß diese Methode `.dict()`, in Pydantic v2 wurde sie deprecated (aber immer noch unterstützt) und in `.model_dump()` umbenannt.
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.github/workflows/smokeshow.yml
types: [completed] permissions: statuses: write jobs: smokeshow: if: ${{ github.event.workflow_run.conclusion == 'success' }} runs-on: ubuntu-latest steps: - name: Dump GitHub context env: GITHUB_CONTEXT: ${{ toJson(github) }} run: echo "$GITHUB_CONTEXT" - uses: actions/setup-python@v5 with: python-version: '3.9'
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