import com.google.common.util.concurrent.ListenableFuture;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutionException;
import junit.framework.Assert;

/**
 * A simple mock implementation of {@code Runnable} that can be used for testing ListenableFutures.
 *
 * @author Nishant Thakkar
 * @since 10.0
 */
@GwtIncompatible
public class MockFutureListener implements Runnable {

     */
    public boolean encloses(ArtifactScopeEnum scope) {
        final ArtifactScopeEnum s = checkScope(scope);

        // system scope is historic only - and simple
        if (id == system.id) {
            return scope.id == system.id;
        }

        for (ArtifactScopeEnum[][] set : COMPLIANCY_SETS) {
            if (id == set[0][0].id) {

package com.squareup.okhttp3.maventest;

import mockwebserver3.MockResponse;
import mockwebserver3.MockWebServer;
import okhttp3.Headers;
import org.junit.Test;

import java.io.IOException;

/**
 * Unit test for simple App.
 */
public class AppTest {
  private final MockWebServer mockWebServer = new MockWebServer();

  @Test
  public void testApp() throws IOException {

package com.google.common.collect.testing;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;

/**
 * Simple derived class to verify that we handle generics correctly.
 *
 * @author Kevin Bourrillion
 */
@GwtCompatible
public class DerivedComparable extends BaseComparable {
  public DerivedComparable(String s) {

They are, more or less, at opposite ends, complementing each other.

Requests has a very simple and intuitive design, it's very easy to use, with sensible defaults. But at the same time, it's very powerful and customizable.

That's why, as said in the official website:

> Requests is one of the most downloaded Python packages of all time

The way you use it is very simple. For example, to do a `GET` request, you would write:

```Python

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import org.jspecify.annotations.NullUnmarked;

/** Simple derived class to verify that we handle generics correctly. */
@GwtCompatible
@NullUnmarked
class Derived extends Base {
  public Derived(String s) {
    super(s);
  }

        // Since SamrOpenDomain's constructor is called, we implicitly test that the arguments
        // are passed up. Mockito cannot directly verify super() calls without PowerMock,
        // which is not ideal for simple constructor tests.
        // The primary responsibility of this constructor is setting ptype and flags,
        // which are directly verifiable.
    }

  <modelVersion>4.0.0</modelVersion>

  <groupId>com.squareup.okhttp3</groupId>
  <artifactId>maven-tests</artifactId>
  <version>1.0.0-SNAPSHOT</version>

  <name>maven-tests</name>
  <description>A simple maven-test.</description>

  <properties>
    <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
    <maven.compiler.source>17</maven.compiler.source>
    <maven.compiler.target>17</maven.compiler.target>

Traditional retrieval of objects is always as whole entities, i.e GetObject for a 5 GiB object, will always return 5 GiB of data. S3 Select API allows us to retrieve a subset of data by using simple SQL expressions. By using Select API to retrieve only the data needed by the application, drastic performance improvements can be achieved.

You can use the Select API to query objects with following features:

package lex

import (
	"go/build/constraint"
	"io"
	"os"
	"strings"
	"text/scanner"
	"unicode"

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

// A Tokenizer is a simple wrapping of text/scanner.Scanner, configured
// for our purposes and made a TokenReader. It forms the lowest level,
// turning text from readers into tokens.
type Tokenizer struct {
	tok  ScanToken
	s    *scanner.Scanner