suite.addTest(testsForSetUpTearDown());
    return suite;
  }

  private abstract static class WrappedHashMapGenerator extends TestStringMapGenerator {
    @Override
    protected final Map<String, String> create(Entry<String, String>[] entries) {
      HashMap<String, String> map = new HashMap<>();
      for (Entry<String, String> entry : entries) {
        map.put(entry.getKey(), entry.getValue());
      }
      return wrap(map);

    return requireNonNull(values[cellRowIndices[index]][cellColumnIndices[index]]);
  }

  @Override
  @J2ktIncompatible
  @GwtIncompatible
    Object writeReplace() {
    return SerializedForm.create(this, cellRowIndices, cellColumnIndices);
  }

        CountDownLatch startLatch = new CountDownLatch(1);
        CountDownLatch doneLatch = new CountDownLatch(threadCount);
        ExecutorService executor = Executors.newFixedThreadPool(threadCount);

        // Create test data
        byte[] testData = new byte[64];
        for (int i = 0; i < testData.length; i++) {
            testData[i] = (byte) i;
        }

        // Run concurrent updates

## Pydantics `BaseModel` importieren { #import-pydantics-basemodel }

Zuerst müssen Sie `BaseModel` von `pydantic` importieren:

{* ../../docs_src/body/tutorial001_py310.py hl[2] *}

## Ihr Datenmodell erstellen { #create-your-data-model }

Dann deklarieren Sie Ihr Datenmodell als eine Klasse, die von `BaseModel` erbt.

Verwenden Sie Standard-Python-Typen für alle Attribute:

{* ../../docs_src/body/tutorial001_py310.py hl[5:9] *}

#### Pydantic's `.model_dump()` { #pydantics-model-dump }

`user_in` is a Pydantic model of class `UserIn`.

Pydantic models have a `.model_dump()` method that returns a `dict` with the model's data.

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.model_dump()
```

- `description`：一个 `str`，该标签的简短描述。可以使用 Markdown，并会显示在文档 UI 中。
- `externalDocs`：一个 `dict`，描述外部文档，包含：
    - `description`：一个 `str`，该外部文档的简短描述。
    - `url`（必填）：一个 `str`，该外部文档的 URL。

### 创建标签元数据 { #create-metadata-for-tags }

让我们在带有标签的示例中为 `users` 和 `items` 试一下。

创建标签元数据并把它传递给 `openapi_tags` 参数：

{* ../../docs_src/metadata/tutorial004_py310.py hl[3:16,18] *}

	if err != nil {
		if errors.Is(err, errConfigNotFound) || isErrObjectNotFound(err) {
			return nil
		}
		return err
	}
	if len(data) == 0 {
		// Seems to be empty create a new poolMeta object.
		return nil
	}
	if len(data) <= 4 {
		return fmt.Errorf("poolMeta: no data")
	}
	// Read header
	switch binary.LittleEndian.Uint16(data[0:2]) {
	case poolMetaFormat:
	default:

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*  The default Keras model saving format is now the Keras v3 format: calling `model.save("xyz.keras")` will no longer create a H5 file, it will create a native Keras model file. This will only be breaking for you if you were manually inspecting or modifying H5 files saved by Keras under a `.keras` extension. If this breaks you, simply add `save_format="h5"` to your `.save()` call to...

  /** Version of plus for use in retryUpdate */
  @Override
  final long fn(long v, long x) {
    return v + x;
  }

  /** Creates a new adder with initial sum of zero. */
  public LongAdder() {}

  /**
   * Adds the given value.
   *
   * @param x the value to add
   */
  @Override
  public void add(long x) {
    Cell[] as;