executer.inDirectory(projectDir2)
        succeeds ":util:resolve", ":app:resolve"

        then:
        output.count("files: [lib1.jar.txt, lib1.jar]") == 2

        // From the Gradle user home cache
        output.count("Transformed") == 0
    }

    private void setupProjectInDir(TestFile projectDir) {
        projectDir.file("build.gradle") << resolveTask << """

			expectedCondition:            "ScaleUpLimit",
			scaleUpRules:                 generateScalingRules(0, 0, 1, 60, 0),
			name:                         "scaleUpLimit is the limit because scaleUpLimit < maxReplicas with user policies",
		},
		{
			currentReplicas:              1000,
			prenormalizedDesiredReplicas: 3,
			specMinReplicas:              3,
			specMaxReplicas:              2000,

		in, out := &in.VolumeMounts, &out.VolumeMounts
		*out = make([]VolumeMountStatus, len(*in))
		for i := range *in {
			(*in)[i].DeepCopyInto(&(*out)[i])
		}
	}
	if in.User != nil {
		in, out := &in.User, &out.User
		*out = new(ContainerUser)
		(*in).DeepCopyInto(*out)
	}
	return
}

// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ContainerStatus.

		in, out := &in.VolumeMounts, &out.VolumeMounts
		*out = make([]VolumeMountStatus, len(*in))
		for i := range *in {
			(*in)[i].DeepCopyInto(&(*out)[i])
		}
	}
	if in.User != nil {
		in, out := &in.User, &out.User
		*out = new(ContainerUser)
		(*in).DeepCopyInto(*out)
	}
	return
}

// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new ContainerStatus.

					ManualSelector: ptr.To(true),
					Parallelism:    ptr.To[int32](1),
				},
			},
			update: func(job *batch.Job) {
				job.Annotations["foo"] = "bar"
			},
		},
		"deleting user annotation": {
			job: &batch.Job{
				ObjectMeta: metav1.ObjectMeta{
					Name:            "myjob",
					Namespace:       metav1.NamespaceDefault,
					ResourceVersion: "0",

// replace all use of %2 with indices
//
struct OptimizeTopK : public OpRewritePattern<TFL::TopKV2Op> {
  using OpRewritePattern::OpRewritePattern;

  // It computes the last dim k of slice size of value.user.
  // If value has no use then return 0.
  std::optional<int32_t> ComputeSliceK(Value value) const {
    if (value.use_empty()) return 0;
    auto slice_op =

      if (n == nullptr) continue;

      // Adding the gradients to the graph can alter the prefix to prevent
      // name collisions only if this prefix has not been provided explicitly
      // by the user. If it was provided, assert that it remained intact.
      if (prefix != nullptr && !absl::StartsWith(n->name(), prefix_cmp)) {
        status->status = tensorflow::errors::Internal(

// argument, even if it has the default value (this means Types<int>
// will appear as Types<int, None, None, ..., None> in the compiler
// errors).
//
// Our solution is to combine the best part of the two approaches: a
// user would write Types<T1, ..., TN>, and Google Test will translate
// that to TypesN<T1, ..., TN> internally to make error messages
// readable.  The translation is done by the 'type' member of the
// Types template.

	}
}

func getMinIOProcessCPUTime() MetricDescription {
	return MetricDescription{
		Namespace: nodeMetricNamespace,
		Subsystem: processSubsystem,
		Name:      cpu,
		Help:      "Total user and system CPU time spent in seconds",
		Type:      counterMetric,
	}
}

func getMinioProcMetrics() *MetricsGroupV2 {
	mg := &MetricsGroupV2{
		cacheInterval: 10 * time.Second,
	}

		}
	case <-time.After(wait.ForeverTestTimeout):
		t.Fatalf("timeout in fitting after %v", wait.ForeverTestTimeout)
	}

	// We mimic the workflow of cache behavior when a pod is removed by user.
	// Note: if the schedulernodeinfo timeout would be super short, the first pod would expire
	// and would be removed itself (without any explicit actions on schedulernodeinfo). Even in that case,