@Override
              protected void finalize() {
                finalizerRan.countDown();
              }
            });

    // Don't copy this into your own test!
    // Use e.g. awaitClear or await(CountDownLatch) instead.
    GcFinalization.awaitFullGc();

    // If this test turns out to be flaky, add a second call to awaitFullGc()

# "pip tests" run a similar suite of tests the "nonpip" tests, but do something
# odd to attempt to validate the quality of the pip package. The wheel is
# installed into a virtual environment, and then that venv is used to run all
# bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which
# drops all the bazel dependencies for each py_test; this makes all the tests

// This is mainly implemented for speed.
func (c *StandardClaims) UnmarshalJSON(b []byte) (err error) {
	return jsonparser.ObjectEach(b, func(key []byte, value []byte, dataType jsonparser.ValueType, _ int) error {
		if len(key) == 0 {
			return nil
		}
		switch key[0] {
		case 'a':
			if string(key) == "accessKey" {
				if dataType != jsonparser.String {
					return errors.New("accessKey: Expected string")

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

که سپس میتوان به این شکل از آن استفاده کرد:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,

    private static Class<?>[] toClassArray(final Object... methodArgs) {
        if (methodArgs == null) {
            return null;
        }
        final Class<?>[] result = new Class[methodArgs.length];
        for (int i = 0; i < methodArgs.length; ++i) {
            if (methodArgs[i] != null) {
                result[i] = methodArgs[i].getClass();
            }
        }
        return result;
    }

# Дополнительные типы данных

До сих пор вы использовали простые типы данных, такие как:

* `int`
* `float`
* `str`
* `bool`

Но вы также можете использовать и более сложные типы.

При этом у вас останутся те же возможности , что и до сих пор:

* Отличная поддержка редактора.
* Преобразование данных из входящих запросов.
* Преобразование данных для ответа.
* Валидация данных.
* Автоматическая аннотация и документация.

    }

    @Override
    public void writeTo(final StreamOutput out) throws IOException {
        queryBuilder.writeTo(out);
    }

    @Override
    public int hashCode() {
        return queryBuilder.hashCode();
    }

    @Override
    public boolean equals(final Object obj) {
        if (this == obj) {
            return true;
        }

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Sau đó có thể được sử dụng:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

可以像这样来使用：

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",

matchLabels: app: {{ include "minio.name" . }} release: {{ .Release.Name }} monitoring: "true" {{- end }} minio/templates/statefulset.yaml {{- if eq .Values.mode "distributed" }} {{ $poolCount := .Values.pools | int }} {{ $nodeCount := .Values.replicas | int }} {{ $drivesPerNode := .Values.drivesPerNode | int }} {{ $scheme := "http" }} {{- if .Values.tls.enabled }} {{ $scheme = "https" }} {{ end }} {{ $mountPath := .Values.mountPath }} {{ $bucketRoot := or ($.Values.bucketRoot) ($.Values.mountPath) }} {{ $subPath...