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  1. okhttp/src/test/resources/web-platform-test-urltestdata.txt

    http:\\\\www.google.com\\foo  s:http h:www.google.com p:/foo
    http://foo:80/  s:http h:foo p:/
    http://foo:81/  s:http h:foo port:81 p:/
    httpa://foo:80/  s:httpa p://foo:80/
    http://foo:-80/
    https://foo:443/  s:https h:foo p:/
    https://foo:80/  s:https h:foo port:80 p:/
    ftp://foo:21/  s:ftp h:foo p:/
    ftp://foo:80/  s:ftp h:foo port:80 p:/
    gopher://foo:70/  s:gopher h:foo p:/
    gopher://foo:443/  s:gopher h:foo port:443 p:/
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  2. docs/de/docs/deployment/server-workers.md

    Dann können Sie Gunicorn ausführen mit:
    
    <div class="termy">
    
    ```console
    $ gunicorn main:app --workers 4 --worker-class uvicorn.workers.UvicornWorker --bind 0.0.0.0:80
    
    [19499] [INFO] Starting gunicorn 20.1.0
    [19499] [INFO] Listening at: http://0.0.0.0:80 (19499)
    [19499] [INFO] Using worker: uvicorn.workers.UvicornWorker
    [19511] [INFO] Booting worker with pid: 19511
    [19513] [INFO] Booting worker with pid: 19513
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  3. okhttp/src/test/java/okhttp3/HttpUrlJvmTest.kt

      @Test
      fun fragmentPercentEncodedNonAscii() {
        val url = "http://host/#%C2%80".toHttpUrl()
        assertThat(url.toUri().toString()).isEqualTo("http://host/#%C2%80")
      }
    
      @Test
      fun fragmentPercentEncodedPartialCodePoint() {
        val url = "http://host/#%80".toHttpUrl()
        assertThat(url.toUri().toString()).isEqualTo("http://host/#%80")
      }
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  4. docs/ko/docs/deployment/server-workers.md

    * `--bind`: 구니콘이 관찰할 IP와 포트를 의미합니다. 콜론 (`:`)을 사용하여 IP와 포트를 구분합니다.
        * 만약에 `--bind 0.0.0.0:80` (구니콘 옵션) 대신 유비콘을 직접 실행하고 싶다면 `--host 0.0.0.0`과 `--port 80`을 사용해야 합니다.
    
    출력에서 각 프로세스에 대한 **PID** (process ID)를 확인할 수 있습니다. (단순한 숫자입니다)
    
    출력 내용:
    
    * 구니콘 **프로세스 매니저**는 PID `19499`로 실행됩니다. (직접 실행할 경우 숫자가 다를 수 있습니다)
    * 다음으로 `Listening at: http://0.0.0.0:80`을 시작합니다.
    * 그런 다음 사용해야할 `uvicorn.workers.UvicornWorker`의 워커클래스를 탐지합니다.
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  5. docs/pt/docs/deployment.md

        <div class="termy">
    
        ```console
        $ uvicorn main:app --host 0.0.0.0 --port 80
    
        <span style="color: green;">INFO</span>:     Uvicorn running on http://0.0.0.0:80 (Press CTRL+C to quit)
        ```
    
        </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>
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  6. docs/zh/docs/deployment/docker.md

    RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
    
    COPY ./app /code/app
    
    CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
    
    # If running behind a proxy like Nginx or Traefik add --proxy-headers
    # CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80", "--proxy-headers"]
    ```
    
    </details>
    
    ## 什么是容器
    
    容器(主要是 Linux 容器)是一种非常**轻量级**的打包应用程序的方式,其包括所有依赖项和必要的文件,同时它们可以和同一系统中的其他容器(或者其他应用程序/组件)相互隔离。
    
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  7. docs/ja/docs/deployment/server-workers.md

    * `--bind`: GunicornにリッスンするIPとポートを伝えます。コロン(`:`)でIPとポートを区切ります。
        * Uvicornを直接実行している場合は、`--bind 0.0.0.0:80` (Gunicornのオプション)の代わりに、`--host 0.0.0.0`と `--port 80`を使います。
    
    出力では、各プロセスの**PID**(プロセスID)が表示されているのがわかります(単なる数字です)。
    
    以下の通りです:
    
    * Gunicornの**プロセス・マネージャー**はPID `19499`(あなたの場合は違う番号でしょう)で始まります。
    * 次に、`Listening at: http://0.0.0.0:80`を開始します。
    * それから `uvicorn.workers.UvicornWorker` でワーカークラスを使用することを検出します。
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  8. docs/de/docs/deployment/docker.md

    COPY ./app /code/app
    
    CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
    
    # Wenn Sie hinter einem Proxy wie Nginx oder Traefik sind, fügen Sie --proxy-headers hinzu
    # CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80", "--proxy-headers"]
    ```
    
    </details>
    
    ## Was ist ein Container?
    
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  9. docs/en/docs/deployment/docker.md

    RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
    
    COPY ./app /code/app
    
    CMD ["fastapi", "run", "app/main.py", "--port", "80"]
    
    # If running behind a proxy like Nginx or Traefik add --proxy-headers
    # CMD ["fastapi", "run", "app/main.py", "--port", "80", "--proxy-headers"]
    ```
    
    </details>
    
    ## What is a Container
    
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  10. docs/pt/docs/deployment/docker.md

    RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
    
    COPY ./app /code/app
    
    CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
    
    # If running behind a proxy like Nginx or Traefik add --proxy-headers
    # CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80", "--proxy-headers"]
    ```
    
    </details>
    
    ## O que é um Contêiner
    
    Plain Text
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