int expectedSize) {
    return new CompactHashSet<>(expectedSize);
  }

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random
   * input.
   */
  @VisibleForTesting(
      )
  static final double HASH_FLOODING_FPP = 0.001;

  /**
   * Maximum allowed length of a hash table bucket before falling back to a j.u.LinkedHashSet based

    listener: WebSocketListener,
  ): WebSocket {
    val webSocket =
      RealWebSocket(
        taskRunner = taskRunner,
        originalRequest = request,
        listener = listener,
        random = Random(),
        pingIntervalMillis = pingIntervalMillis.toLong(),
        // extensions is always null for clients:
        extensions = null,
        minimumDeflateSize = minWebSocketMessageToCompress,

      String unused = interner.intern(Double.toHexString(Math.random()));
    }
    return reps;
  }

  @CanIgnoreReturnValue
  @Benchmark
  int strongInterner(int reps) {
    Interner<String> interner = Interners.newStrongInterner();
    for (int i = 0; i < reps; i++) {
      String unused = interner.intern(Double.toHexString(Math.random()));
    }
    return reps;
  }

  @CanIgnoreReturnValue

		if err != nil {
			t.Fatalf("Test %d: Failed to create a bucket: %v", i+1, err)
		}

		// Step 2: Upload an object with a random content
		initialData := bytes.Repeat([]byte{'b'}, len(testCase.content))
		sets.erasureDisksMu.Lock()
		xl.getDisks = func() []StorageAPI { return origErasureDisks }
		sets.erasureDisksMu.Unlock()

	partsMetadata[0] = partsMetadataBackup // Revert before going to the next test

	// Test 3: Not synchronized DataDir
	erasureDisks = s.getDisks()
	partsMetadataBackup = partsMetadata[1]
	partsMetadata[1].DataDir = "foo-random"

	errs = make([]error, len(erasureDisks))
	_, _ = checkObjectWithAllParts(ctx, erasureDisks, partsMetadata,
		errs, fi, false, bucket, object, madmin.HealDeepScan)

	for diskIndex, disk := range erasureDisks {

      int expectedSize) {
    return new CompactHashSet<>(expectedSize);
  }

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random
   * input.
   */
  @VisibleForTesting(
      )
  static final double HASH_FLOODING_FPP = 0.001;

  /**
   * Maximum allowed length of a hash table bucket before falling back to a j.u.LinkedHashSet based

{* ../../docs_src/query_params_str_validations/tutorial015_an_py310.py ln[16:19] hl[17] *}

#### 一个随机条目 { #a-random-item }

使用 `data.items()` 我们会得到一个包含每个字典项键和值的元组的 <dfn title="可以用 for 循环迭代的对象，例如 list、set 等">可迭代对象</dfn>。

我们用 `list(data.items())` 把这个可迭代对象转换成一个真正的 `list`。

然后用 `random.choice()` 可以从该列表中获取一个**随机值**，也就是一个 `(id, name)` 的元组。它可能像 `("imdb-tt0371724", "The Hitchhiker's Guide to the Galaxy")` 这样。

                <version>1.0.0</version>
            </project>
            """;

        Document doc = Document.of(pomXml);
        Element root = doc.root();

        // Insert elements in random order - they should be positioned correctly
        DomUtils.insertContentElement(root, "licenses", "");
        DomUtils.insertContentElement(root, "name", "Test Project");
        DomUtils.insertNewElement("dependencies", root);

}

type repeatedByte struct {
	off int64
	b   byte
	n   int64
}

// rleBuffer is a run-length-encoded byte buffer.
// It's an io.Writer (like a bytes.Buffer) and also an io.ReaderAt,
// allowing random-access reads.
type rleBuffer struct {
	buf []repeatedByte
}

func (r *rleBuffer) Size() int64 {
	if len(r.buf) == 0 {
		return 0
	}
	last := &r.buf[len(r.buf)-1]
	return last.off + last.n
}

{* ../../docs_src/query_params_str_validations/tutorial015_an_py310.py ln[16:19] hl[17] *}

#### ランダムなアイテム { #a-random-item }

`data.items()` で、辞書の各アイテムのキーと値を含むタプルを持つ <dfn title="for ループで繰り返し処理できるもの（list、set など）">反復可能オブジェクト</dfn> を取得します。

この反復可能オブジェクトを `list(data.items())` で適切な `list` に変換します。