import com.google.common.testing.ForwardingWrapperTester;
import java.lang.reflect.Method;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import org.jspecify.annotations.NullUnmarked;

/**
 * Tester for typical subclass of {@link ForwardingObject} by using Mockito.
 *
 * @author Ben Yu
 */
@NullUnmarked
final class ForwardingObjectTester {

  private static final Method DELEGATE_METHOD;

  static {

* editor (meaning component of IDE): редактор кода
* adopt (meaning start to use): использовать (or `начать использовать`)
* headers (meaning HTTP-headers): HTTP-заголовки
* cookie sessions: сессии с использованием cookie
* tested (adjective): протестированный
* middleware: middleware (don't translate, but add `промежуточный слой` if clarification is needed)
* path operation: операция пути (optionally clarify as `обработчик пути`)

  }

  /**
   * Asserts that the collection under test contains exactly the given elements, respecting
   * cardinality but not order. Subclasses may override this method to provide stronger assertions,
   * e.g., to check ordering in lists, but realize that <strong>unless a test extends {@link
   * com.google.common.collect.testing.testers.AbstractListTester AbstractListTester}, a call to

name: Failing Test
description: Report continuously failing tests or jobs in Kubernetes CI
labels: kind/failing-test
body:
  - type: textarea
    id: jobs
    attributes:
      label: Which jobs are failing?
      placeholder: |
        Please only use this template for submitting reports about continuously failing tests or jobs in Kubernetes CI.
    validations:
      required: true

  - type: textarea
    id: tests
    attributes:

# LLM test file { #llm-test-file }

This document tests if the <abbr title="Large Language Model">LLM</abbr>, which translates the documentation, understands the `general_prompt` in `scripts/translate.py` and the language specific prompt in `docs/{language code}/llm-prompt.md`. The language specific prompt is appended to `general_prompt`.

Tests added here will be seen by all designers of language specific prompts.

Use as follows:

test.txt This is a test text file. gophercolor16x16.png...

Ian Lance Taylor <******@****.***> 1645759397 -0800

test.tar data/folder/file.html テスト data/file.txt テキスト...

# Archivo de prueba de LLM { #llm-test-file }

Este documento prueba si el <abbr title="Large Language Model – Modelo de lenguaje grande">LLM</abbr>, que traduce la documentación, entiende el `general_prompt` en `scripts/translate.py` y el prompt específico del idioma en `docs/{language code}/llm-prompt.md`. El prompt específico del idioma se agrega al final de `general_prompt`.

   */
  @Test
  public abstract void incidentEdges_checkReturnedSetMutability();

  @Test
  public void nodes_oneNode() {
    addNode(N1);
    assertThat(graph.nodes()).containsExactly(N1);
  }

  @Test
  public void nodes_noNodes() {
    assertThat(graph.nodes()).isEmpty();
  }

  @Test
  public void adjacentNodes_oneEdge() {
    putEdge(N1, N2);