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fastapi/security/http.py
scheme: str, scheme_name: Optional[str] = None, description: Optional[str] = None, auto_error: bool = True, ): self.model = HTTPBaseModel(scheme=scheme, description=description) self.scheme_name = scheme_name or self.__class__.__name__ self.auto_error = auto_error async def __call__( self, request: Request ) -> Optional[HTTPAuthorizationCredentials]:
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tests/test_tutorial/test_extra_data_types/test_tutorial001.py
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docs/en/docs/deployment/concepts.md
### Small Errors Automatically Handled When building web APIs with FastAPI, if there's an error in our code, FastAPI will normally contain it to the single request that triggered the error. 🛡 The client will get a **500 Internal Server Error** for that request, but the application will continue working for the next requests instead of just crashing completely.
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docs/es/docs/index.md
* **Menos errores**: Reduce los errores humanos (de programador) aproximadamente un 40%. * * **Intuitivo**: Gran soporte en los editores con <abbr title="conocido en inglés como auto-complete, autocompletion, IntelliSense, completion">auto completado</abbr> en todas partes. Gasta menos tiempo <abbr title="buscando y corrigiendo errores">debugging</abbr>.
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pyproject.toml
] context = '${CONTEXT}' omit = [ "docs_src/response_model/tutorial003_04.py", "docs_src/response_model/tutorial003_04_py310.py", ] [tool.ruff.lint] select = [ "E", # pycodestyle errors "W", # pycodestyle warnings "F", # pyflakes "I", # isort "B", # flake8-bugbear "C4", # flake8-comprehensions "UP", # pyupgrade ] ignore = [
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docs/en/docs/release-notes.md
* [Install custom exception handlers](https://fastapi.tiangolo.com/tutorial/handling-errors/#install-custom-exception-handlers). * [Override the default exception handlers](https://fastapi.tiangolo.com/tutorial/handling-errors/#override-the-default-exception-handlers). * [Re-use **FastAPI's** exception handlers](https://fastapi.tiangolo.com/tutorial/handling-errors/#re-use-fastapis-exception-handlers).
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tests/test_tutorial/test_extra_data_types/test_tutorial001_an_py310.py
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docs/en/mkdocs.yml
- tutorial/extra-models.md - tutorial/response-status-code.md - tutorial/request-forms.md - tutorial/request-files.md - tutorial/request-forms-and-files.md - tutorial/handling-errors.md - tutorial/path-operation-configuration.md - tutorial/encoder.md - tutorial/body-updates.md - Dependencies: - tutorial/dependencies/index.md
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docs/en/docs/features.md
* If you know Python types you know how to use Pydantic. * Plays nicely with your **<abbr title="Integrated Development Environment, similar to a code editor">IDE</abbr>/<abbr title="A program that checks for code errors">linter</abbr>/brain**: * Because pydantic data structures are just instances of classes you define; auto-completion, linting, mypy and your intuition should all work properly with your validated data.
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README.md
* **Fast to code**: Increase the speed to develop features by about 200% to 300%. * * **Fewer bugs**: Reduce about 40% of human (developer) induced errors. * * **Intuitive**: Great editor support. <abbr title="also known as auto-complete, autocompletion, IntelliSense">Completion</abbr> everywhere. Less time debugging.
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