}
    }
}

val summarized = Attribute.of("summarized", Boolean::class.javaObjectType)
dependencies {
    attributesSchema {
        attribute(summarized)
    }
    artifactTypes.create("txt") {
        attributes.attribute(summarized, false)
    }
    registerTransform(Summarize::class) {
        from.attribute(summarized, false)
        to.attribute(summarized, true)
    }

  %3 = "tf.Const"() {value = dense<"y (WhitespaceTokenize/RaggedConcat/RaggedNRows/Const:0) = "> : tensor<!tf_type.string>} : () -> tensor<!tf_type.string>
  "tf.Assert"(%arg0, %0, %1, %2, %arg1, %3, %arg2) {device = "", summarize = 3 : i64} : (tensor<i1>, tensor<!tf_type.string>, tensor<!tf_type.string>, tensor<!tf_type.string>, tensor<i64>, tensor<!tf_type.string>, tensor<i64>) -> ()
  %4 = "tf.Identity"(%arg0) {device = ""} : (tensor<i1>) -> tensor<i1>

		// than the CPU profiler when filtered to this goroutine via labels.
		cpuHogger(cpuHog1, &salt1, dur)
	}()

	trace.Stop()
	pprof.StopCPUProfile()

	// Summarize the CPU profile to stderr so the test can check against it.

	prof, err := profile.Parse(cpuBuf)
	if err != nil {
		log.Fatalf("failed to parse CPU profile: %v", err)
	}

func UserTasksHandlerFunc(t *parsedTrace) http.HandlerFunc {
	return func(w http.ResponseWriter, r *http.Request) {
		tasks := t.summary.Tasks

		// Summarize groups of tasks with the same name.
		summary := make(map[string]taskStats)
		for _, task := range tasks {
			stats, ok := summary[task.Name]
			if !ok {
				stats.Type = task.Name
			}
			stats.add(task)

//
// The precise representation is an implementation detail, but for the
// sake of documentation, 0s are free pages and 1s are allocated pages.
type pallocBits pageBits

// summarize returns a packed summary of the bitmap in pallocBits.
func (b *pallocBits) summarize() pallocSum {
	var start, most, cur uint
	const notSetYet = ^uint(0) // sentinel for start value
	start = notSetYet
	for i := 0; i < len(b); i++ {
		x := b[i]

Gradle lets us know the outcome of each task in the console output:

- `FROM-CACHE` - tasks have been fetched from the local build cache.
- `UP-TO-DATE` - tasks that used incremental build and were not re-run.

To summarize:

1. First, we used the `build` task to populate our local cache with task inputs and outputs -- we can imagine this was done a week ago.

    return methods_.summarize != nullptr;
  }

  Status SummarizeValue(std::string& summary) const override {
    if (methods_.summarize == nullptr) {
      return tensorflow::CustomDeviceTensorHandle::SummarizeValue(summary);
    }
    TF_Status c_status;
    std::unique_ptr<TF_Buffer, decltype(&TF_DeleteBuffer)> summary_buffer(
        methods_.summarize(data_, &c_status), TF_DeleteBuffer);

  %3 = "tf.StringFormat"(%2) {__op_key = 1: i32, device = "/job:localhost/replica:0/task:0/device:CPU:0", placeholder = "{}", strtemplate = "%s", summarize = 3 : i64, template = "Outside compiled {}"} : (tensor<i32>) -> tensor<!tf_type.string>

		y := p.chunkOf(sc).summarize()
		if x == y {
			return
		}
		p.summary[len(p.summary)-1][sc] = y
	} else if contig {
		// Slow contiguous path: the allocation spans more than one chunk
		// and at least one summary is guaranteed to change.
		summary := p.summary[len(p.summary)-1]

		// Update the summary for chunk sc.
		summary[sc] = p.chunkOf(sc).summarize()

                val currentFingerprint = host.fingerprintOf(fileSystemInputs)
                if (currentFingerprint != fileSystemInputsFingerprint) {
                    // TODO: summarize what has changed (see https://github.com/gradle/configuration-cache/issues/282)
                    return "an input to $workDisplayName has changed"
                }
            }