}

  private Object invokeGeneratorMethod(Method generator, Object... args) {
    try {
      return generator.invoke(this, args);
    } catch (InvocationTargetException e) {
      throwIfUnchecked(e.getCause());
      throw new RuntimeException(e.getCause());
    } catch (Exception e) {
      throwIfUnchecked(e);
      throw new RuntimeException(e);
    }
  }

        during the python Dataset object creation instead doing it during
        Iterator creation time.
    *   Add `batch_dims` argument to `tf.gather`.
    *   The behavior of `tf.gather` is now correct when `axis=None` and
        `batch_dims<0`.
    *   Update docstring for gather to properly describe the non-empty
        `batch_dims` case.
    *   Removing of dtype in the constructor of initializers and partition_info

 private:
  TF_Graph* graph_;
  int counter_;
};

// Helper macros for the TF_OperationGetAttr* tests.
// TODO(ashankar): Use gmock matchers instead?
// (https://github.com/google/googletest/blob/master/googlemock/docs/CookBook.md#writing-new-parameterized-matchers-quickly)
// That will require setting up the tensorflow build with gmock.
#define EXPECT_TF_META(attr_name, expected_list_size, expected_type, \

func NewRemoteErrString(msg string) *RemoteErr {
	r := RemoteErr(msg)
	return &r
}

func (r RemoteErr) Error() string {
	return string(r)
}

// Is returns if the string representation matches.
func (r *RemoteErr) Is(other error) bool {
	if r == nil || other == nil {
		return r == other
	}
	var o RemoteErr
	if errors.As(other, &o) {
		return r == &o
	}
	return false
}

            return stub.getResponse();
        } catch (Exception e) {
            throw new IOException("Witness heartbeat RPC failed", e);
        }
    }
    
    @Override
    public void close() {
        if (handle != null) {
            try {
                handle.close();
            } catch (Exception e) {
                log.error("Error closing witness RPC handle", e);
            }
        }
    }

                }
                if (version == null) {
                    version = getChildText(parentElement, VERSION);
                }
            }

            // Check if this POM matches the parent coordinates
            if (parentGroupId.equals(groupId) && parentArtifactId.equals(artifactId) && parentVersion.equals(version)) {
                return entry.getKey();
            }
        }

// - Range over all the available buckets
// - Check if a bucket has an entry in etcd backend
// -- If no, make an entry
// -- If yes, check if the entry matches local IP check if we
//
//	need to update the entry then proceed to update
//
// -- If yes, check if the IP of entry matches local IP.
//
//	This means entry is for this instance.
//
// -- If IP of the entry doesn't match, this means entry is
//

// is more efficient than decrypting ETags sequentially.
func DecryptETags(ctx context.Context, k *kms.KMS, objects []ObjectInfo) error {
	const BatchSize = 250 // We process the objects in batches - 250 is a reasonable default.
	var (
		metadata = make([]map[string]string, 0, BatchSize)
		buckets  = make([]string, 0, BatchSize)
		names    = make([]string, 0, BatchSize)
	)
	for len(objects) > 0 {

incorrect.  If watching objects with a filter, when an update was made that no longer matched the filter a DELETE event was correctly sent.  However, the object that was returned by that delete was not the (correct) version before the update, but instead, the newer version.  That meant the new object was not matched by the filter.  This was a regression from behavior between cached watches on the server side and uncached watches, and thus broke downstream API clients. ([#46223](https://github.com/kuberne...

	if _, err := gorm.G[User](DB).Where("id = ?", user.ID).Set(assocOp).Update(ctx); err == nil {
		t.Fatalf("expected error for invalid association, got nil")
	}
}

// No owner matched; should be no-op
func TestClauseAssociationSetUpdateNoOwnerMatch(t *testing.T) {
	ctx := context.Background()