/// check | 확인

특별한 클래스를 만들지 않아도 되며, 이러한 것 혹은 비슷한 종류를 **FastAPI**에 "등록"하기 위해 어떤 곳에 넘겨주지 않아도 됩니다.

단순히 `Depends`에 넘겨주기만 하면 되며, **FastAPI**는 나머지를 어찌할지 알고 있습니다.

///

## `Annotated`인 의존성 공유하기 { #share-annotated-dependencies }

위의 예제에서 몇몇 작은 **코드 중복**이 있다는 것을 보았을 겁니다.

`common_parameters()`의존을 사용해야 한다면, 타입 명시와 `Depends()`와 함께 전체 매개변수를 적어야 합니다:

```Python
commons: Annotated[dict, Depends(common_parameters)]

	shardSize := int64(1024 * 1024)
	shard := make([]byte, shardSize)
	w := newStreamingBitrotWriter(storage, "", volName, fileName, size, algo, shardSize)
	reader := bytes.NewReader(data)
	for {
		// Using io.Copy instead of this loop will not work for us as io.Copy
		// will use bytes.Reader.WriteTo() which will not do shardSize'ed writes
		// causing error.
		n, err := reader.Read(shard)
		w.Write(shard[:n])

   */
  @get:JvmName("hostOnly") val hostOnly: Boolean,
  /**
   * Returns a string describing whether this cookie is sent for cross-site calls.
   *
   * Two URLs are on the same site if they share a [top private domain][HttpUrl.topPrivateDomain].
   * Otherwise, they are cross-site URLs.
   *
   * When a URL is requested, it may be in the context of another URL.
   *

	// To avoid these problems we must split the work at scale. With 1000 node
	// setup becoming a reality we must try to shard the work properly such as
	// pick 10 nodes that precisely can send those 100 requests the first node
	// in the 10 node shard would coordinate between other 9 shards to get the
	// rest of the `99*9` requests.
	//
	// This essentially splits the workload properly and also allows for network

        netdfs.DfsStorageInfo storageInfo = new netdfs.DfsStorageInfo();
        storageInfo.state = netdfs.DFS_STORAGE_STATE_ONLINE;
        storageInfo.server_name = "server1";
        storageInfo.share_name = "share1";

        ByteArrayOutputStream bos = new ByteArrayOutputStream();
        // Create buffer for encoding - initially allocate some space
        byte[] encodeBuffer = new byte[1024];

And multiple processes normally **don't share any memory**. This means that each running process has its own things, variables, and memory. And if you are consuming a large amount of memory in your code, **each process** will consume an equivalent amount of memory.

## Create a Pull Request { #create-a-pull-request }

You can [contribute](contributing.md) to the source code with Pull Requests, for example:

* To fix a typo you found on the documentation.
* To share an article, video, or podcast you created or found about FastAPI by [editing this file](https://github.com/fastapi/fastapi/edit/master/docs/en/data/external_links.yml).

    this.strategy = checkNotNull(strategy);
  }

  /**
   * Creates a new {@code BloomFilter} that's a copy of this instance. The new instance is equal to
   * this instance but shares no mutable state.
   *
   * @since 12.0
   */
  public BloomFilter<T> copy() {
    return new BloomFilter<>(bits.copy(), numHashFunctions, funnel, strategy);
  }

  /**

    or indirect, to cause the direction or management of such entity,
    whether by contract or otherwise, or (b) ownership of more than
    fifty percent (50%) of the outstanding shares or beneficial
    ownership of such entity.

2. License Grants and Conditions
--------------------------------

2.1. Grants

Each Contributor hereby grants You a world-wide, royalty-free,

    context.getConfig().setProperty("jcifs.smb.client.useMultiChannel", "true");
    context.getConfig().setProperty("jcifs.smb.client.maxChannels", "4");
    
    SmbFile file = new SmbFile("smb://server/share/largefile.dat", context);
    
    // Measure single channel throughput
    long singleChannelTime = measureReadTime(file, false);
    
    // Measure multi-channel throughput