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  1. docs/en/docs/alternatives.md

    This decoupling of parts, and being a "microframework" that could be extended to cover exactly what is needed was a key feature that I wanted to keep.
    
    Given the simplicity of Flask, it seemed like a good match for building APIs. The next thing to find was a "Django REST Framework" for Flask.
    
    Plain Text
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  2. fastapi/openapi/models.py

    try:
        import email_validator
    
        assert email_validator  # make autoflake ignore the unused import
        from pydantic import EmailStr
    except ImportError:  # pragma: no cover
    
        class EmailStr(str):  # type: ignore
            @classmethod
            def __get_validators__(cls) -> Iterable[Callable[..., Any]]:
                yield cls.validate
    
            @classmethod
    Python
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  3. docs/fr/docs/history-design-future.md

    Par exemple, il était clair que l'idéal était de se baser sur les annotations de type Python standard.
    
    De plus, la meilleure approche était d'utiliser des normes déjà existantes.
    
    Ainsi, avant même de commencer à coder **FastAPI**, j'ai passé plusieurs mois à étudier les spécifications d'OpenAPI, JSON Schema, OAuth2, etc. Comprendre leurs relations, leurs similarités et leurs différences.
    
    ## Conception
    
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  4. docs/pl/docs/index.md

    ---
    
    "_I’m over the moon excited about **FastAPI**. It’s so fun!_"
    
    Plain Text
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  5. docs/it/docs/index.md

    ---
    
    "_I’m over the moon excited about **FastAPI**. It’s so fun!_"
    
    Plain Text
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  6. docs/en/docs/deployment/manually.md

        ```
    
        </div>
    
    === "Hypercorn"
    
        <div class="termy">
    
        ```console
        $ hypercorn main:app --bind 0.0.0.0:80
    
        Running on 0.0.0.0:8080 over http (CTRL + C to quit)
        ```
    
        </div>
    
    !!! note
        The command `uvicorn main:app` refers to:
    
        * `main`: the file `main.py` (the Python "module").
    Plain Text
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  7. fastapi/_compat.py

        try:
            from pydantic_core.core_schema import (
                with_info_plain_validator_function as with_info_plain_validator_function,
            )
        except ImportError:  # pragma: no cover
            from pydantic_core.core_schema import (
                general_plain_validator_function as with_info_plain_validator_function,  # noqa: F401
            )
    
        Required = PydanticUndefined
    Python
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  8. docs/em/docs/tutorial/dependencies/dependencies-with-yield.md

    participant dep as Dep with yield
    participant operation as Path Operation
    participant tasks as Background tasks
    
        Note over client,tasks: Can raise exception for dependency, handled after response is sent
        Note over client,operation: Can raise HTTPException and can change the response
        client ->> dep: Start request
        Note over dep: Run code up to yield
        opt raise
            dep -->> handler: Raise HTTPException
    Plain Text
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  9. docs/en/docs/css/custom.css

    }
    
    .user .title {
      text-align: center;
    }
    
    .user .count {
      font-size: 80%;
      text-align: center;
    }
    
    a.announce-link:link,
    a.announce-link:visited {
      color: #fff;
    }
    
    a.announce-link:hover {
      color: var(--md-accent-fg-color);
    }
    
    .announce-wrapper {
      display: flex;
      justify-content: space-between;
      flex-wrap: wrap;
      align-items: center;
    }
    
    .announce-wrapper div.item {
    CSS
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  10. docs/hu/docs/index.md

    ---
    
    "_I’m over the moon excited about **FastAPI**. It’s so fun!_"
    
    Plain Text
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