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.github/workflows/test.yml
- run: mkdir coverage - name: Test run: bash scripts/test.sh env: COVERAGE_FILE: coverage/.coverage.${{ runner.os }}-py${{ matrix.python-version }} CONTEXT: ${{ runner.os }}-py${{ matrix.python-version }} - name: Store coverage files uses: actions/upload-artifact@v3 with: name: coverage path: coverage coverage-combine:
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docs/en/docs/tutorial/first-steps.md
<font color="#3465A4">INFO </font> Searching for package file structure from directories with <font color="#3465A4">__init__.py</font> files <font color="#3465A4">INFO </font> Importing from <font color="#75507B">/home/user/code/</font><font color="#AD7FA8">awesomeapp</font> ╭─ <font color="#8AE234"><b>Python module file</b></font> ─╮ │ │ │ 🐍 main.py │ │ │
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docs/it/docs/index.md
* **Facile**: Progettato per essere facile da usare e imparare. Si riduce il tempo da dedicare alla lettura della documentazione.
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fastapi/param_functions.py
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docs/en/docs/alternatives.md
The main feature I wanted from Django REST Framework was the automatic API documentation. Then I found that there was a standard to document APIs, using JSON (or YAML, an extension of JSON) called Swagger. And there was a web user interface for Swagger APIs already created. So, being able to generate Swagger documentation for an API would allow using this web user interface automatically.
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docs/en/docs/deployment/manually.md
<font color="#3465A4">INFO </font> Searching for package file structure from directories with <font color="#3465A4">__init__.py</font> files <font color="#3465A4">INFO </font> Importing from <font color="#75507B">/home/user/code/</font><font color="#AD7FA8">awesomeapp</font> ╭─ <font color="#8AE234"><b>Python module file</b></font> ─╮ │ │ │ 🐍 main.py │ │ │
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docs/en/docs/advanced/generate-clients.md
### Generate a TypeScript Client with the Preprocessed OpenAPI Now as the end result is in a file `openapi.json`, you would modify the `package.json` to use that local file, for example: ```JSON hl_lines="7" { "name": "frontend-app", "version": "1.0.0", "description": "", "main": "index.js", "scripts": {
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docs/en/docs/tutorial/response-model.md
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docs/en/docs/python-types.md
# Python Types Intro Python has support for optional "type hints" (also called "type annotations"). These **"type hints"** or annotations are a special syntax that allow declaring the <abbr title="for example: str, int, float, bool">type</abbr> of a variable. By declaring types for your variables, editors and tools can give you better support.
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docs/en/docs/advanced/sub-applications.md
### Technical Details: `root_path` When you mount a sub-application as described above, FastAPI will take care of communicating the mount path for the sub-application using a mechanism from the ASGI specification called a `root_path`. That way, the sub-application will know to use that path prefix for the docs UI.
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