<arg>-J--add-exports=jdk.compiler/com.sun.tools.javac.file=ALL-UNNAMED</arg>
              <arg>-J--add-exports=jdk.compiler/com.sun.tools.javac.main=ALL-UNNAMED</arg>
              <arg>-J--add-exports=jdk.compiler/com.sun.tools.javac.model=ALL-UNNAMED</arg>
              <arg>-J--add-exports=jdk.compiler/com.sun.tools.javac.parser=ALL-UNNAMED</arg>

              <arg>-J--add-exports=jdk.compiler/com.sun.tools.javac.file=ALL-UNNAMED</arg>
              <arg>-J--add-exports=jdk.compiler/com.sun.tools.javac.main=ALL-UNNAMED</arg>
              <arg>-J--add-exports=jdk.compiler/com.sun.tools.javac.model=ALL-UNNAMED</arg>
              <arg>-J--add-exports=jdk.compiler/com.sun.tools.javac.parser=ALL-UNNAMED</arg>

                Stream.concat(
                        // pom artifact
                        Stream.of(new ProjectArtifact(project)),
                        // main project artifact if not a pom
                        "pom".equals(project.getPackaging()) ? Stream.empty() : Stream.of(project.getArtifact())),
                // attached artifacts

        .heldCertificate(certificate)
        .build()
    server.useHttps(serverHandshakeCertificates.sslSocketFactory())
    url = server.url("/robots.txt")
  }

  /**
   * Test connecting to the main host then an alternative, although only subject alternative names
   * are used if present no special consideration of common name.
   */
  @Test
  fun commonThenAlternative() {
    server.enqueue(MockResponse())

Bạn viết chuẩn Python với kiểu dữ liệu như sau:

```Python
from datetime import date

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

编写带有类型标注的标准 Python：

```Python
from datetime import date

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

		t, n := binary.Uvarint(b)
		if n <= 0 {
			break
		}
		b = b[n:]

		typ := ChecksumType(t)
		length := typ.RawByteLen()
		if length == 0 || len(b) < length {
			break
		}
		// Skip main checksum
		b = b[length:]
		parts, n := binary.Uvarint(b)
		if n <= 0 {
			break
		}
		if !typ.Is(ChecksumIncludesMultipart) {
			continue
		}

		if len(res) == 0 {

package lex

import (
	"fmt"
	"os"
	"path/filepath"
	"slices"
	"strconv"
	"strings"
	"text/scanner"

	"cmd/asm/internal/flags"
	"cmd/internal/objabi"
	"cmd/internal/src"
)

// Input is the main input: a stack of readers and some macro definitions.
// It also handles #include processing (by pushing onto the input stack)
// and parses and instantiates macro definitions.
type Input struct {
	Stack

### Step 3: Test on NATS

If you use NATS server, check out this sample program below to log the bucket notification added to NATS.

```go
package main

// Import Go and NATS packages
import (
 "log"
 "runtime"

 "github.com/nats-io/nats.go"
)

func main() {

 // Create server connection
 natsConnection, _ := nats.Connect("nats://yourusername:yoursecret@localhost:4222")
 log.Println("Connected")

여러분은 타입을 이용한 표준 파이썬을 다음과 같이 적을 수 있습니다:

```Python
from datetime import date

from pydantic import BaseModel

# 변수를 str로 선언
# 그 후 함수 안에서 편집기 지원을 받으세요
def main(user_id: str):
    return user_id


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

위의 코드는 다음과 같이 사용될 수 있습니다:

```Python