)

      def has_reshape(self) -> bool:
        return self.bias_fn() and self.bias_size != self.filters.shape[-1]

      @def_function.function
      def matmul(self, input_tensor: core.Tensor) -> Mapping[str, core.Tensor]:
        """Performs a matrix multiplication.

        Depending on self.bias_fn and self.activation_fn, it may add a bias
        term or go through the activaction function.

                public static int access_get_getMaxErrors(Task self) {
                    ${getDefaultDeprecation("Task", "maxErrors")}
                    return self.getMaxErrors().getOrElse(0);
                }

                public static void access_set_setMaxErrors(Task self, int arg0) {
                    ${getDefaultDeprecation("Task", "maxErrors")}
                    self.getMaxErrors().set(arg0);
                }
            }

        return self.modify(providerToDependency);
    }

    /**
     * Modifies a dependency.
     *
     * @param dependency dependency to modify
     * @return the modified dependency
     * @since 8.0
     */
    public static <D extends ModuleDependency> D call(DependencyModifier self, D dependency) {

                """
            ),
        ] = True,
    ):
        self.model = HTTPBaseModel(scheme="basic", description=description)
        self.scheme_name = scheme_name or self.__class__.__name__
        self.realm = realm
        self.auto_error = auto_error

    async def __call__(  # type: ignore
        self, request: Request
    ) -> Optional[HTTPBasicCredentials]:

class Depends:
    def __init__(
        self, dependency: Optional[Callable[..., Any]] = None, *, use_cache: bool = True
    ):
        self.dependency = dependency
        self.use_cache = use_cache

    def __repr__(self) -> str:
        attr = getattr(self.dependency, "__name__", type(self.dependency).__name__)
        cache = "" if self.use_cache else ", use_cache=False"
        return f"{self.__class__.__name__}({attr}{cache})"

        @property
        def alias(self) -> str:
            a = self.field_info.alias
            return a if a is not None else self.name

        @property
        def required(self) -> bool:
            return self.field_info.is_required()

        @property
        def default(self) -> Any:
            return self.get_default()

        @property
        def type_(self) -> Any:

        y:      y,
        width:  width,
        src:    g.src,
	sumpos: g.sumpos,
	sumneg: g.sumneg,
        self:   g.self,
      };
      displayList.push(box);
      if (direction > 0) {
	// Leave gap on left hand side to indicate self contribution.
	x += xscale*Math.abs(g.self);
      }
    }
    y += direction * ROW;

    // Find child or parent stacks.
    const next = [];

  static <E extends @Nullable Object> boolean addAllImpl(
      Multiset<E> self, Collection<? extends E> elements) {
    checkNotNull(self);
    checkNotNull(elements);
    if (elements instanceof Multiset) {
      return addAllImpl(self, cast(elements));
    } else if (elements.isEmpty()) {
      return false;
    } else {
      return Iterators.addAll(self, elements.iterator());
    }
  }

						OpenAPIV3Schema: &apiextensions.JSONSchemaProps{
							Type: "object",
							XValidations: apiextensions.ValidationRules{
								{
									Rule:            "size(self) > 0",
									Message:         "openAPIV3Schema should contain more than 0 element.",
									OptionalOldSelf: ptr.To(true),
								},
							},
							Properties: map[string]apiextensions.JSONSchemaProps{

          if (nanos == 0L) return

          // Yield until notified, interrupted, or the duration elapses.
          val waitUntil = nanoTime + nanos
          val self = currentTask
          waitingCoordinatorTask = self
          waitingCoordinatorNotified = false
          waitingCoordinatorInterrupted = false
          yieldUntil {