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  1. docs/ja/docs/deployment/docker.md

    前の章で詳しく説明したように、Uvicornワーカーで動作するGunicornを含む公式のDockerイメージがあります: [Server Workers - Gunicorn と Uvicorn](server-workers.md){.internal-link target=_blank}で詳しく説明しています。
    
    このイメージは、主に上記で説明した状況で役に立つでしょう: [複数のプロセスと特殊なケースを持つコンテナ(Containers with Multiple Processes and Special Cases)](#containers-with-multiple-processes-and-special-cases)
    
    * <a href="https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker" class="external-link" target="_blank">tiangolo/uvicorn-gunicorn-fastapi</a>.
    
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  2. docs/en/docs/tutorial/bigger-applications.md

        For example, in `app/main.py` you could have a line like:
    
        ```
        from app.routers import items
        ```
    
    * The `app` directory contains everything. And it has an empty file `app/__init__.py`, so it is a "Python package" (a collection of "Python modules"): `app`.
    * It contains an `app/main.py` file. As it is inside a Python package (a directory with a file `__init__.py`), it is a "module" of that package: `app.main`.
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  3. .github/actions/people/app/main.py

    import logging
    import subprocess
    import sys
    from collections import Counter, defaultdict
    from datetime import datetime, timedelta, timezone
    from pathlib import Path
    from typing import Any, Container, DefaultDict, Dict, List, Set, Union
    
    import httpx
    import yaml
    from github import Github
    from pydantic import BaseModel, SecretStr
    from pydantic_settings import BaseSettings
    
    github_graphql_url = "https://api.github.com/graphql"
    Python
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  4. docs/en/docs/tutorial/security/first-steps.md

        * But it needs authentication for that specific endpoint.
        * So, to authenticate with our API, it sends a header `Authorization` with a value of `Bearer ` plus the token.
        * If the token contains `foobar`, the content of the `Authorization` header would be: `Bearer foobar`.
    
    ## **FastAPI**'s `OAuth2PasswordBearer`
    
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  5. docs/en/docs/release-notes.md

    the `response_model` (e.g. you return a `UserInDB` that inherits from `User` but contains extra fields, like `hashed_password`, and `User` is used in the `response_model`), it would still pass the validation (because `UserInDB` is a subclass of `User`) and the object would be returned as-is, including the `hashed_password`. To fix this, the declared `response_model` is cloned, if it is a Pydantic model class (or contains Pydantic model classes in it, e.g. in a `List[Item]`), the Pydantic model class(es)...
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  6. docs/en/docs/how-to/async-sql-encode-databases.md

    `note.dict()` returns a `dict` with its data, something like:
    
    ```Python
    {
        "text": "Some note",
        "completed": False,
    }
    ```
    
    but it doesn't have the `id` field.
    
    So we create a new `dict`, that contains the key-value pairs from `note.dict()` with:
    
    ```Python
    {**note.dict()}
    ```
    
    `**note.dict()` "unpacks" the key value pairs directly, so, `{**note.dict()}` would be, more or less, a copy of `note.dict()`.
    
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  7. docs/en/docs/how-to/nosql-databases-couchbase.md

    It will take the `dict` at `result.value`, and take each of its keys and values and pass them as key-values to `UserInDB` as keyword arguments.
    
    So, if the `dict` contains:
    
    ```Python
    {
        "username": "johndoe",
        "hashed_password": "some_hash",
    }
    ```
    
    It will be passed to `UserInDB` as:
    
    ```Python
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  8. docs/en/docs/python-types.md

    For example, let's define a variable to be a `list` of `str`.
    
    === "Python 3.9+"
    
        Declare the variable, with the same colon (`:`) syntax.
    
        As the type, put `list`.
    
        As the list is a type that contains some internal types, you put them in square brackets:
    
        ```Python hl_lines="1"
        {!> ../../../docs_src/python_types/tutorial006_py39.py!}
        ```
    
    === "Python 3.8+"
    
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  9. pyproject.toml

        "UP",  # pyupgrade
    ]
    ignore = [
        "E501",  # line too long, handled by black
        "B008",  # do not perform function calls in argument defaults
        "C901",  # too complex
        "W191",  # indentation contains tabs
    ]
    
    [tool.ruff.lint.per-file-ignores]
    "__init__.py" = ["F401"]
    "docs_src/dependencies/tutorial007.py" = ["F821"]
    "docs_src/dependencies/tutorial008.py" = ["F821"]
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  10. docs/de/docs/advanced/behind-a-proxy.md

    Sie können das Experiment mit einem abgetrennten Pfadpräfix ganz einfach lokal ausführen, indem Sie <a href="https://docs.traefik.io/" class="external-link" target="_blank">Traefik</a> verwenden.
    
    <a href="https://github.com/containous/traefik/releases" class="external-link" target="_blank">Laden Sie Traefik herunter</a>, es ist eine einzelne Binärdatei, Sie können die komprimierte Datei extrahieren und sie direkt vom Terminal aus ausführen.
    
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