import kotlinx.metadata.visibility
import java.util.function.Supplier


internal
fun KotlinClassMetadata.hasAttribute(memberType: MemberType, jvmSignature: String, predicate: AttributePredicate): Boolean =
    when (this) {
        is KotlinClassMetadata.Class -> hasClassAttribute(this::kmClass, memberType, jvmSignature, predicate)
        is KotlinClassMetadata.FileFacade -> hasPackageAttribute(this::kmPackage, memberType, jvmSignature, predicate)

                "Item": {
                    "title": "Item",
                    "required": IsOneOf(
                        ["name", "price", "tags", "description", "tax"],
                        # TODO: remove when deprecating Pydantic v1
                        ["name", "price"],
                    ),
                    "type": "object",
                    "properties": {

                "UserOut": {
                    "title": "UserOut",
                    "required": IsOneOf(
                        ["username", "email", "full_name"],
                        # TODO: remove when deprecating Pydantic v1
                        ["username", "email"],
                    ),
                    "type": "object",
                    "properties": {

    // 'swallowException' when the mock does not throw an exception.
    setupFlushable(false);
    doFlush(mockFlushable, false, false);

    setupFlushable(false);
    doFlush(mockFlushable, true, false);
  }

  public void testFlush_flushableWithEatenException() throws IOException {
    // make sure that no exception is thrown if 'swallowException' is true
    // when the mock does throw an exception on flush.

   * propagating it.
   *
   * <p>While it's not safe in the general case to ignore exceptions that are thrown when closing an
   * I/O resource, it should generally be safe in the case of a resource that's being used only for
   * reading, such as an {@code InputStream}. Unlike with writable resources, there's no chance that
   * a failure that occurs when closing the stream indicates a meaningful problem such as a failure

  // podManagementPolicy controls how pods are created during initial scale up,
  // when replacing pods on nodes, or when scaling down. The default policy is
  // `OrderedReady`, where pods are created in increasing order (pod-0, then
  // pod-1, etc) and the controller will wait until each pod is ready before
  // continuing. When scaling down, the pods are removed in the opposite order.

		t.Errorf("error should raise when using preload without schema")
	}

	var count13 int64
	if err := DB.Model(User{}).
		Where("name in ?", []string{user1.Name, user2.Name, user3.Name}).
		Preload("Toys", func(db *gorm.DB) *gorm.DB {
			return db.Table("toys").Select("name")
		}).Count(&count13).Error; err != nil {
		t.Errorf("no error should raise when using count with preload, but got %v", err)
	}

   *
   * <ul>
   *   <li>When a {@code ListenableFuture} listener is registered to run under {@code
   *       directExecutor}, the listener can execute in any of three possible threads:
   *       <ol>
   *         <li>When a thread attaches a listener to a {@code ListenableFuture} that's already
   *             complete, the listener runs immediately in that thread.

   * occur when using {@link CacheBuilder#weakKeys}, {@link CacheBuilder#weakValues}, or {@link
   * CacheBuilder#softValues}.
   */
  COLLECTED {
    @Override
    boolean wasEvicted() {
      return true;
    }
  },

  /**
   * The entry's expiration timestamp has passed. This can occur when using {@link

                            "application/json": {
                                "schema": IsDict({"$ref": "#/components/schemas/Item"})
                                | IsDict(
                                    # TODO: remove when deprecating Pydantic v1
                                    {
                                        "allOf": [
                                            {"$ref": "#/components/schemas/Item"}