debugData = source.readByteString(opaqueDataLength.toLong())
    }
    handler.goAway(lastStreamId, errorCode, debugData)
  }

  /** Unlike other `readXxx()` functions, this one must log the frame before returning. */
  @Throws(IOException::class)
  private fun readWindowUpdate(
    handler: Handler,
    length: Int,
    flags: Int,
    streamId: Int,
  ) {

        squashBytesToInts( cipherText, cipherOff, tempInts, 0, 2 );
        des( tempInts, tempInts, decryptKeys );
        spreadIntsToBytes( tempInts, 0, clearText, clearOff, 2 );
    }

    // The DES function.
    private void des( int[] inInts, int[] outInts, int[] keys ) {

        int fval, work, right, leftt;
        int round;
        int keysi = 0;

        leftt = inInts[0];
        right = inInts[1];

	s3 := repeat(maxPartSz, 10000)
	testMPs := []struct {
		decSizes []int64
		oi       ObjectInfo
	}{
		{s1, mkMPObj(s1)},
		{s2, mkMPObj(s2)},
		{s3, mkMPObj(s3)},
	}

	// This function is a reference (re-)implementation of
	// decrypted range computation, written solely for the purpose
	// of the unit tests.
	//
	// `s` gives the decrypted part sizes, and the other

// (case-sensitive) and will fail otherwise.
// Further, some clients require that the ETag value is a double-quoted
// string. Therefore, this package provides dedicated functions for
// adding and extracting the ETag to/from HTTP headers.
package etag

import (
	"bytes"
	"crypto/hmac"
	"crypto/md5"
	"encoding/base64"
	"encoding/hex"
	"errors"
	"fmt"
	"net/http"

	TCPListener = wellknown.TCPProxy

	IPMatcher = "type.googleapis.com/xds.type.matcher.v3.IPMatcher"
)

// ListenerFilter is used to pass filter information into listener based config writer print functions
type ListenerFilter struct {
	Address string
	Port    uint32
	Type    string
	Verbose bool
}

// Verify returns true if the passed listener matches the filter fields

* Add RequestedToCapacityRatioPriority priority function. Function is parametrized with set of points mapping node utilization (0-100) to score (0-10). ([#63929](https://github.com/kubernetes/kubernetes/pull/63929), [@losipiuk](https://github.com/losipiuk))

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

import java.util.Collections;
import java.util.Comparator;
import java.util.Iterator;
import java.util.List;
import java.util.RandomAccess;
import java.util.Spliterator;
import java.util.function.Consumer;
import java.util.function.UnaryOperator;
import java.util.stream.Collector;
import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/**

  }

  public <F extends Enum<F> & Function<String, Integer> & Iterable<Long>>
      void testResolveType_fromTypeVariable() {
    TypeToken<?> f = TypeToken.of(new TypeCapture<F>() {}.capture());
    assertEquals(String.class, f.resolveType(Function.class.getTypeParameters()[0]).getType());
    assertEquals(Integer.class, f.resolveType(Function.class.getTypeParameters()[1]).getType());