public static final String TEXT_FRAGMENT_TYPE_QUERY = "query";

    public static final String TEXT_FRAGMENT_TYPE_HIGHLIGHT = "highlight";

    public static final String CRAWLER_STATS_KEY = "crawler.stats.key";

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```


/// info

`**second_user_data` 意思是:

直接将`second_user_data`字典的键和值直接作为key-value参数传递，等同于：`User(id=4, name="Mary", joined="2018-11-30")`

///

### 编辑器支持

整个框架都被设计得易于使用且直观，所有的决定都在开发之前就在多个编辑器上进行了测试，来确保最佳的开发体验。

  public static Test suite() {
    TestSuite suite = new TestSuite();

    // Not testing rowKeySet() or columnKeySet() of Table.transformValues()
    // since the transformation doesn't affect the row and column key sets.

    suite.addTest(
        SetTestSuiteBuilder.using(
                new TestStringSetGenerator() {
                  @Override
                  protected Set<String> create(String[] elements) {

  public static Test suite() {
    TestSuite suite = new TestSuite();

    // Not testing rowKeySet() or columnKeySet() of Table.transformValues()
    // since the transformation doesn't affect the row and column key sets.

    suite.addTest(
        SetTestSuiteBuilder.using(
                new TestStringSetGenerator() {
                  @Override
                  protected Set<String> create(String[] elements) {

	}
	for wkey, wval := range want.Cache {
		gotv := got.Cache[wkey]
		if !equalAsJSON(gotv, wval) {
			t.Errorf("deserialize mismatch, key %v\nwant: %#v\ngot:  %#v", wkey, wval, gotv)
		}
	}
}

// equalAsJSON returns whether the values are equal when encoded as JSON.
func equalAsJSON(a, b interface{}) bool {
	aj, err := json.Marshal(a)

When there is an operation that will require waiting before giving the results and has support for these new Python features, you can code it like:

```Python
burgers = await get_burgers(2)
```

          if (!response.isSuccessful) throw IOException("Unexpected code $response")

          val gist = gistJsonAdapter.fromJson(response.body!!.source())

          for ((key, value) in gist!!.files!!) {
            println(key)
            println(value.content)
          }
        }
      }

      @JsonClass(generateAdapter = true)
      data class Gist(var files: Map<String, GistFile>?)

    Tuple: tuple,
    tuple: tuple,
    Set: set,
    set: set,
    FrozenSet: frozenset,
    frozenset: frozenset,
    Deque: deque,
    deque: deque,
}

sequence_types = tuple(sequence_annotation_to_type.keys())

if PYDANTIC_V2:
    from pydantic import PydanticSchemaGenerationError as PydanticSchemaGenerationError
    from pydantic import TypeAdapter
    from pydantic import ValidationError as ValidationError

			expectedErr: nil,
			expectErr:   false,
		},
		// invalid Status key
		{
			value:       `<?xml version="1.0" encoding="UTF-8"?><ObjectLockLegalHold xmlns="http://s3.amazonaws.com/doc/2006-03-01/"><MyStatus>ON</MyStatus></ObjectLockLegalHold>`,

   * Otherwise this returns an empty list of challenges.
   *
   * If a challenge uses the `token68` variant instead of auth params, there is exactly one
   * auth param in the challenge at key null. Invalid headers and challenges are ignored.
   * No semantic validation is done, for example that `Basic` auth must have a `realm`
   * auth param, this is up to the caller that interprets these challenges.
   */