SataQiu <******@****.***> 1713430345 +0800

SataQiu <******@****.***> 1702613527 +0800

	mapper.RegisterKindFor(gvr("apps", "v1", "deployments"), "scale", gvk("autoscaling", "v1", "Scale"))
	mapper.RegisterKindFor(gvr("apps", "v1beta1", "deployments"), "scale", gvk("apps", "v1beta1", "Scale"))
	mapper.RegisterKindFor(gvr("apps", "v1alpha1", "deployments"), "scale", gvk("apps", "v1alpha1", "Scale"))

	// register invalid kinds to trigger an error

    @Override
    double singleQuantile(int index, int scale, double[] dataset) {
      return Quantiles.scale(scale).index(index).computeInPlace(dataset);
    }

    @Override
    Map<Integer, Double> multipleQuantiles(
        Collection<Integer> indexes, int scale, double[] dataset) {
      return Quantiles.scale(scale).indexes(indexes).computeInPlace(dataset);
    }
  },
  ;

  /**

		return nil, errors.NewBadRequest("nil update passed to Scale")
	}
	scale, ok := newScaleObj.(*autoscaling.Scale)
	if !ok {
		return nil, errors.NewBadRequest(fmt.Sprintf("expected input object type to be Scale, but %T", newScaleObj))
	}

	// validate
	if errs := autoscalingvalidation.ValidateScale(scale); len(errs) > 0 {
		return nil, errors.NewInvalid(autoscaling.Kind("Scale"), statefulset.Name, errs)
	}

				},
				{
					Manager:     "scale",
					Operation:   metav1.ManagedFieldsOperationUpdate,
					APIVersion:  "apps/v1",
					FieldsType:  "FieldsV1",
					FieldsV1:    &metav1.FieldsV1{Raw: []byte(`{"f:spec":{"f:the-replicas":{}}}`)},
					Subresource: "scale",
				},
			},
		},
		{
			desc:         "Custom resource without scale subresource, scaling a version with `scale`",

		storage.Status = &StatusREST{store: &statusStore}
	}

	if scale := strategy.scale; scale != nil {
		var labelSelectorPath string
		if scale.LabelSelectorPath != nil {
			labelSelectorPath = *scale.LabelSelectorPath
		}

		storage.Scale = &ScaleREST{
			store:               store,
			specReplicasPath:    scale.SpecReplicasPath,
			statusReplicasPath:  scale.StatusReplicasPath,
			labelSelectorPath:   labelSelectorPath,

		t.Fatalf("error updating scale %v: %v", update, err)
	}

	obj, err := storage.Scale.Get(ctx, name, &metav1.GetOptions{})
	if err != nil {
		t.Fatalf("error fetching scale for %s: %v", name, err)
	}
	scale := obj.(*autoscaling.Scale)
	if scale.Spec.Replicas != int32(replicas) {
		t.Errorf("wrong replicas count expected: %d got: %d", replicas, scale.Spec.Replicas)
	}

  // The internal gradient implementation needs the shape of the input image.
  // x_shape = shape(x)[1:3]
  //         = slice(shape(x), {1}, {3 - 1})
  auto x_shape = Slice(scope, Shape(scope, op.input(0)), {1}, {2});
  grad_outputs->push_back(internal::ResizeNearestNeighborGrad(
      scope, grad_inputs[0], x_shape,
      internal::ResizeNearestNeighborGrad::AlignCorners(align_corners)

		t.Fatalf("error updating scale %v: %v", update, err)
	}
	obj, err := storage.Scale.Get(ctx, name, &metav1.GetOptions{})
	if err != nil {
		t.Fatalf("error fetching scale for %s: %v", name, err)
	}
	scale := obj.(*autoscaling.Scale)
	if scale.Spec.Replicas != replicas {
		t.Errorf("wrong replicas count expected: %d got: %d", replicas, rc.Spec.Replicas)
	}

	update.ResourceVersion = rc.ResourceVersion