}
    }
  }

  public void testNullParameters() throws Exception {
    NullPointerTester tester = new NullPointerTester();
    tester.testAllPublicInstanceMethods(makeLocalCache(createCacheBuilder()));
    CacheLoader<Object, Object> loader = identityLoader();
    tester.testAllPublicInstanceMethods(makeLocalCache(createCacheBuilder(), loader));
  }

  public void testSerializationProxyLoading() {

    assertFalse(changed);
  }

  @J2ktIncompatible
  @GwtIncompatible // NullPointerTester
  public void testNullPointerExceptions() {
    NullPointerTester tester = new NullPointerTester();
    tester.testAllPublicStaticMethods(Iterators.class);
  }

  @GwtIncompatible // Only used by @GwtIncompatible code
  private abstract static class EmptyIteratorTester extends IteratorTester<Integer> {

import com.google.common.collect.testing.google.SetGenerators.ImmutableSortedSetUnhashableGenerator;
import com.google.common.collect.testing.testers.SetHashCodeTester;
import com.google.common.testing.NullPointerTester;
import com.google.common.testing.SerializableTester;
import java.util.Collection;
import java.util.Collections;
import java.util.Comparator;

E após procurar por muito tempo por um framework similar e testar muitas alternativas diferentes, APIStar foi a melhor opção disponível.

import com.google.common.collect.testing.google.SetGenerators.ImmutableSortedSetUnhashableGenerator;
import com.google.common.collect.testing.testers.SetHashCodeTester;
import com.google.common.testing.CollectorTester;
import com.google.common.testing.NullPointerTester;
import com.google.common.testing.SerializableTester;
import java.util.Collection;

    @Test
    public void testThatExecutionsWithoutIdsAreMergedAndTheChildWins() throws Exception {
        PomTestWrapper tester = buildPom("micromailer");
        assertModelEquals(tester, "child-descriptor", "build/plugins[1]/executions[1]/goals[1]");
    }

    /*MNG-4010*/
    @Test
    void testDuplicateExclusionsDependency() throws Exception {

* <a href="https://hub.docker.com/_/redis" class="external-link" target="_blank">Redis</a>, etc.

Usando imagens de contêiner pré-prontas é muito fácil **combinar** e usar diferentes ferramentas. Por exemplo, para testar um novo banco de dados. Em muitos casos, você pode usar as **imagens oficiais**, precisando somente de variáveis de ambiente para configurá-las.

	{"TrimSuffix", nil, "", nil},
	{"TrimSuffix", []byte{}, "", []byte{}},
	{"TrimSuffix", []byte{'a'}, "a", []byte{}},
	{"TrimSuffix", []byte("☺"), "☺", []byte{}},
}

func TestTrim(t *testing.T) {
	toFn := func(name string) (func([]byte, string) []byte, func([]byte, []byte) []byte) {
		switch name {
		case "Trim":
			return Trim, nil
		case "TrimLeft":
			return TrimLeft, nil

		t.Fatalf("Build NOT condition, but got %v", result.Statement.SQL.String())
	}
}

func TestOr(t *testing.T) {
	dryDB := DB.Session(&gorm.Session{DryRun: true})

	var count int64
	result := dryDB.Model(&User{}).Or("role = ?", "admin").Count(&count)

this release is **compatibility** with Pydantic v1 and v2, to make sure your current apps keep working. Later there will be more focus on refactors, correctness, code improvements, and then **performance** improvements. Some third-party early beta testers that ran benchmarks on the beta releases of FastAPI reported improvements of **2x - 3x**. Which is not bad for just doing `pip install --upgrade fastapi pydantic`. This was not an official benchmark and I didn't check it myself, but it's a good sign....