* specify azure file share name in azure file plugin ([#76988](https://github.com/kubernetes/kubernetes/pull/76988), [@andyzhangx](https://github.com/andyzhangx))
* Windows nodes on GCE use a known-working 1809 image rather than the latest 1809 image. ([#76722](https://github.com/kubernetes/kubernetes/pull/76722), [@pjh](https://github.com/pjh))

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	github.com/mxk/go-flowrate v0.0.0-20140419014527-cca7078d478f // indirect
	github.com/onsi/ginkgo/v2 v2.20.2 // indirect
	github.com/opencontainers/go-digest v1.0.0 // indirect
	github.com/opencontainers/image-spec v1.1.0 // indirect
	github.com/pelletier/go-toml/v2 v2.2.2 // indirect
	github.com/peterbourgon/diskv v2.0.1+incompatible // indirect
	github.com/pkg/errors v0.9.1 // indirect

### `UploadFile`

`UploadFile` 은 다음과 같은 어트리뷰트가 있습니다:

* `filename` : 문자열(`str`)로 된 업로드된 파일의 파일명입니다 (예: `myimage.jpg`).
* `content_type` : 문자열(`str`)로 된 파일 형식(MIME type / media type)입니다 (예: `image/jpeg`).

                    }
                } else {
                    logger.warn("{} is not available.", generatorName);
                }
            } else if (logger.isDebugEnabled()) {
                logger.debug("No image file exists: {}", noImageFile.getAbsolutePath());
            }
        } catch (final Exception e) {
            logger.warn("Failed to create thumbnail for {}", entity, e);
        }
    }

리눅스 컨테이너를 사용하는 데에는 **보안**, **반복 가능성**, **단순함** 등의 장점이 있습니다.

/// tip | "팁"

시간에 쫓기고 있고 이미 이런것들을 알고 있다면 [`Dockerfile`👇](#build-a-docker-image-for-fastapi)로 점프할 수 있습니다.

///

<details>
<summary>도커파일 미리보기 👀</summary>

```Dockerfile
FROM python:3.9

WORKDIR /code

COPY ./requirements.txt /code/requirements.txt

    to fix this.
-   Once the internal tests pass, we go ahead and merge the code internally as
    well as externally on GitHub.

In a graphical form, the entire lifetime of a PR looks like

![image](https://github.com/tensorflow/tensorflow/assets/52792999/3eea4ca5-daa0-4570-b0b5-2a2b03a724a3)

### Contributor License Agreements

在这些情况下，你可以使用 **官方 Docker 镜像**，其中包含 **Gunicorn** 作为运行多个 **Uvicorn 工作进程** 的进程管理器，以及一些默认设置来根据当前情况调整工作进程数量 自动CPU核心。 我将在下面的 [Gunicorn - Uvicorn 官方 Docker 镜像](#official-docker-image-with-gunicorn-uvicorn) 中告诉你更多相关信息。

下面一些什么时候这种做法有意义的示例：


#### 一个简单的应用程序

如果你的应用程序**足够简单**，你不需要（至少现在不需要）过多地微调进程数量，并且你可以使用自动默认值，那么你可能需要容器中的进程管理器 （使用官方 Docker 镜像），并且你在**单个服务器**而不是集群上运行它。

---

Common examples of CPU bound operations are things that require complex math processing.

For example:

* **Audio** or **image processing**.
* **Computer vision**: an image is composed of millions of pixels, each pixel has 3 values / colors, processing that normally requires computing something on those pixels, all at the same time.

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