},
			want:   math.MinInt64,
			wantOK: true,
		},
		{
			name: "max-overflow-int",
			fields: fields{
				value: []byte("9223372036854775808"),
			},
			// Seems to be what strconv.ParseInt returns
			want:   math.MaxInt64,
			wantOK: true,
		},
		{
			name: "min-underflow-int",
			fields: fields{
				value: []byte("-9223372036854775809"),
			},

# Deklarieren Sie eine Variable als ein `str`
# und bekommen Sie Editor-Unterstütung innerhalb der Funktion
def main(user_id: str):
    return user_id


# Ein Pydantic-Modell
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Das kann nun wie folgt verwendet werden:

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

second_user_data = {
    "id": 4,

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
```

That can then be used like:

```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

# Zadeklaruj parametr jako str
# i uzyskaj wsparcie edytora wewnątrz funkcji
def main(user_id: str):
    return user_id


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

A one będą mogły zostać później użyte w następujący sposób:

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

second_user_data = {

from pydantic import BaseModel

# Değişkeni str olarak belirt
# ve o fonksiyon için harika bir editör desteği al
def main(user_id: str):
    return user_id


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

Sonrasında bu şekilde kullanabilirsin

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

second_user_data = {
    "id": 4,

    taskFaker.runTasks()
  }

  private fun connectHttp2(
    peer: MockHttp2Peer,
    realConnection: RealConnection,
    maxConcurrentStreams: Int,
  ): Http2Connection {
    // Write the mocking script.
    val settings1 = Settings()
    settings1[Settings.MAX_CONCURRENT_STREAMS] = maxConcurrentStreams
    peer.sendFrame().settings(settings1)

import org.codelibs.fess.crawler.helper.impl.MimeTypeHelperImpl;
import org.dbflute.utflute.core.PlainTestCase;

/**
 * @author shinsuke
 *
 */
public class FtpClientTest extends PlainTestCase {
    private static final int FTP_PORT = 10021;

    public FtpClient ftpClient;

    @Override
    protected void setUp() throws Exception {
        super.setUp();

要使 `await` 工作，它必须位于支持这种异步机制的函数内。因此，只需使用 `async def` 声明它：

```Python hl_lines="1"
async def get_burgers(number: int):
    # Do some asynchronous stuff to create the burgers
    return burgers
```

...而不是 `def`:

```Python hl_lines="2"
# This is not asynchronous
def get_sequential_burgers(number: int):
    # Do some sequential stuff to create the burgers
    return burgers
```

node('s390x') {
    dir('build') {
        stage('Checkout') {
            checkout scm
        }

        def WORK_DIR=pwd()
        def MAVEN_GOAL='verify'

        stage('Build / Unit Test') {
            String jdkName = jenkinsEnv.jdkFromVersion(buildOs, buildJdk)
            String mvnName = jenkinsEnv.mvnFromVersion(buildOs, buildMvn)
            try {

          <name>testResources</name>
          <version>4.0.0+</version>
          <description>
            This element describes all the classpath resources such as properties
            files associated with a project's unit tests.
            The default value is {@code src/test/resources}.
          </description>
          <association>
            <type>Resource</type>
            <multiplicity>*</multiplicity>