import com.google.common.collect.Lists;
import java.util.ArrayList;
import java.util.List;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/**
 * Validate that {@link EventBus} behaves carefully when listeners publish their own events.
 *
 * @author Jesse Wilson
 */
@NullUnmarked
public class ReentrantEventsTest extends TestCase {

  static final String FIRST = "one";

                "false");

        assertFalse(Features.deployBuildPom(properties));
    }

    @Test
    void testConsistencyWithOtherFeatureMethodsFalse() {
        // Test that deployBuildPom behaves consistently with other feature methods when false
        Map<String, Object> properties = Map.of(
                Constants.MAVEN_DEPLOY_BUILD_POM, "false",
                Constants.MAVEN_CONSUMER_POM, "false");

	return quorumErr
}

// reduceReadQuorumErrs behaves like reduceErrs but only for returning
// values of maximally occurring errors validated against readQuorum.
func reduceReadQuorumErrs(ctx context.Context, errs []error, ignoredErrs []error, readQuorum int) (maxErr error) {
	return reduceQuorumErrs(ctx, errs, ignoredErrs, readQuorum, errErasureReadQuorum)
}

// reduceWriteQuorumErrs behaves like reduceErrs but only for returning

    def __class__(self):
        return uuid.UUID

    @property
    def __dict__(self):
        """Spoof a missing __dict__ by raising TypeError, this is how
        asyncpg.pgroto.pgproto.UUID behaves"""
        raise TypeError("vars() argument must have __dict__ attribute")


def test_pydanticv2():
    from pydantic import field_serializer

    app = FastAPI()

    @app.get("/fast_uuid")

import com.google.common.annotations.GwtCompatible;

/**
 * A type which will never be used as the element type of any collection in our tests, and so can be
 * used to test how a Collection behaves when given input of the wrong type.
 */
@GwtCompatible
public enum WrongType {
  VALUE

## Managing hermetic Python

To make sure that TensorFlow's build is reproducible, behaves uniformly across
supported platforms (Linux, Windows, MacOS) and is properly isolated from
specifics of a local system, we rely on hermetic Python (see
[rules_python](https://github.com/bazelbuild/rules_python)) for all build
and test commands executed via Bazel. This means that your system Python
installation will be ignored during the build and Python interpreter itself

   * <i>May</i> return {@code true} if {@code object} is a {@code Supplier} that behaves identically
   * to this supplier.
   *
   * <p><b>Warning: do not depend</b> on the behavior of this method.
   *
   * <p>Historically, {@code Supplier} instances in this library have implemented this method to
   * recognize certain cases where distinct {@code Supplier} instances would in fact behave

   * <i>May</i> return {@code true} if {@code obj} is a {@code Function} that behaves identically to
   * this function.
   *
   * <p><b>Warning: do not depend</b> on the behavior of this method.
   *
   * <p>Historically, {@code Function} instances in this library have implemented this method to
   * recognize certain cases where distinct {@code Function} instances would in fact behave

      allowedOnPath = ".*/com/google/common/base/.*")
  CommonPattern compile(String pattern);

  /**
   * Returns {@code true} if the regex implementation behaves like Perl -- notably, by supporting
   * possessive quantifiers but also being susceptible to catastrophic backtracking.
   */
  @RestrictedApi(

      allowedOnPath = ".*/com/google/common/base/.*")
  CommonPattern compile(String pattern);

  /**
   * Returns {@code true} if the regex implementation behaves like Perl -- notably, by supporting
   * possessive quantifiers but also being susceptible to catastrophic backtracking.
   */
  @RestrictedApi(