```

Open another terminal and upload a JPEG image into `images` bucket.

```
mc cp myphoto.jpg myminio/images
```

You should receive the following event notification via RabbitMQ once the upload completes.

```py
python rabbit.py

INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
INFO:     Started reloader process [28720]
INFO:     Started server process [28722]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
```

</div>

<details markdown="1">
<summary>關於指令 <code>uvicorn main:app --reload</code>...</summary>

該指令 `uvicorn main:app` 指的是：

- `main`：`main.py` 檔案（一個 python 的 "模組"）。

INFO:     Started reloader process [2248755] using WatchFiles
INFO:     Started server process [2248757]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
```

</div>

<details markdown="1">
<summary>Sobre o comando <code>fastapi dev main.py</code>...</summary>

INFO:     Started reloader process [2248755] using WatchFiles
INFO:     Started server process [2248757]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
```

</div>

<details markdown="1">
<summary>О команде <code>fastapi dev main.py</code>...</summary>

INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
INFO:     Started reloader process [28720]
INFO:     Started server process [28722]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
```

</div>

<details markdown="1">
<summary>关于 <code>uvicorn main:app --reload</code> 命令......</summary>

 `uvicorn main:app` 命令含义如下:

* `main`：`main.py` 文件（一个 Python "模块"）。

pkg go/types, method (*Info) ObjectOf(*ast.Ident) Object
pkg go/types, method (*Info) TypeOf(ast.Expr) Type
pkg go/types, method (*Initializer) String() string
pkg go/types, method (*Interface) Complete() *Interface
pkg go/types, method (*Interface) Embedded(int) *Named
pkg go/types, method (*Interface) Empty() bool
pkg go/types, method (*Interface) ExplicitMethod(int) *Func

		queryValues.Set("part-number-marker", partNumberMarker)
	}
	return makeTestTargetURL(endPoint, bucketName, objectName, queryValues)
}

// return URL for completing multipart upload.
// complete multipart upload request is sent after all parts are uploaded.
func getCompleteMultipartUploadURL(endPoint, bucketName, objectName, uploadID string) string {
	queryValue := url.Values{}
	queryValue.Set("uploadId", uploadID)

    on Ampere based GPUs. TensorFloat-32, or TF32 for short, is a math mode for
    NVIDIA Ampere based GPUs and is enabled by default.

*   A major refactoring of the internals of the Keras Functional API has been
    completed, that should improve the reliability, stability, and performance
    of constructing Functional models.

*   Keras mixed precision API

// collectFragments reads until the first occurrence of delim in the input. It
// returns (slice of full buffers, remaining bytes before delim, total number
// of bytes in the combined first two elements, error).
// The complete result is equal to
// `bytes.Join(append(fullBuffers, finalFragment), nil)`, which has a
// length of `totalLen`. The result is structured in this way to allow callers
// to minimize allocations and copies.

	extraLen := int(b.uint16())
	return int64(fileHeaderLen + filenameLen + extraLen), nil
}

// readDirectoryHeader attempts to read a directory header from r.
// It returns io.ErrUnexpectedEOF if it cannot read a complete header,
// and ErrFormat if it doesn't find a valid header signature.
func readDirectoryHeader(f *File, r io.Reader) error {
	var buf [directoryHeaderLen]byte
	if _, err := io.ReadFull(r, buf[:]); err != nil {