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;

/**

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.util;

import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.function.Consumer;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.crypto.CachedCipher;
import org.codelibs.core.misc.DynamicProperties;

		cause:      err,
	}
}

func errIllegalSQLFunctionArgument(err error) *s3Error {
	return &s3Error{
		code:       "IllegalSqlFunctionArgument",
		message:    "Illegal argument was used in the SQL function.",
		statusCode: 400,
		cause:      err,
	}
}

func errMultipleDataSourcesUnsupported(err error) *s3Error {
	return &s3Error{
		code:       "MultipleDataSourcesUnsupported",

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

  }

  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());

	res := make(DailyAllTierStats, len(t.lastDayStats))
	for tier, st := range t.lastDayStats {
		res[tier] = st.clone()
	}
	return res
}

// UpdateWorkers at the end of this function leaves n goroutines waiting for
// transition tasks
func (t *transitionState) UpdateWorkers(n int) {
	t.mu.Lock()
	defer t.mu.Unlock()
	if t.objAPI == nil { // Init hasn't been called yet.
		return
	}

// Client - http based RPC client.
type Client struct {
	connected int32 // ref: https://golang.org/pkg/sync/atomic/#pkg-note-BUG
	_         int32 // For 64 bits alignment
	lastConn  int64

	// HealthCheckFn is the function set to test for health.
	// If not set the client will not keep track of health.
	// Calling this returns true or false if the target
	// is online or offline.
	HealthCheckFn func() bool

   * This method does so by hashing 64 bits of the IPv6 address into {@code 224.0.0.0/3} (64 bits
   * into 29 bits):
   *
   * <ul>
   *   <li>If the IPv6 address contains an embedded IPv4 address, the function hashes that.
   *   <li>Otherwise, it hashes the upper 64 bits of the IPv6 address.
   * </ul>
   *
   * <p>A "coerced" IPv4 address is equivalent to itself.
   *

	return deleteBucketLocal(ctx, bucket, opts)
}

// client to talk to peer Nodes.
type remotePeerS3Client struct {
	node  Node
	pools []int

	// Function that returns the grid connection for this peer when initialized.
	// Will return nil if the grid connection is not initialized yet.
	gridConn func() *grid.Connection
}

// S3PeerSys - S3 peer call system.