then:
        output.count('Transforming') == 3
        output.contains("result = [lib2-5.6.jar.txt, lib1-1.2.jar.txt]")
        output.contains("result = [lib2-5.6.jar.txt, lib1-1.3.jar.txt]")
        output.count('Transforming without dependencies lib2-5.6.jar to lib2-5.6.jar.txt') == 1
        output.count('Transforming without dependencies lib1-1.2.jar to lib1-1.2.jar.txt') == 1

    @get:InputArtifact
    abstract val inputArtifact: Provider<FileSystemLocation>

    override fun transform(outputs: TransformOutputs) {
        val inputFile = inputArtifact.get().asFile
        println("Transforming ${inputFile.name}...")
        outputs.file("${inputFile.nameWithoutExtension}-summary.txt").run {
            writeText("${inputFile.name}: ${inputFile.length()}")
        }
    }
}

                    abstract Property<CountingService> getCounter()
                }

                @Override
                void transform($TransformOutputs.name outputs) {
                    println "Transforming ${UUID.randomUUID()}"
                    parameters.counter.get().increment()
                }
            }

            gradle.sharedServices.registerIfAbsent("counter", CountingService) {

- Fix a race condition in kube-controller-manager and scheduler caused by a bug in transforming informer happening when objects were accessed during Resync operation by making the transforming function idempotent. ([#124352](https://github.com/kubernetes/kubernetes/pull/124352), [@wojtek-t](https://github.com/wojtek-t)) [SIG API Machinery and Scheduling]

while loop body has a control barrier (`%barrier`) at the end which forces
a dependency and the two assign variable ops must wait for each other to
complete before starting the next iteration. Transforming these control
outputs to data outputs removes the dependency between the two assign
variable ops, thus allowing them to run in parallel across iterations.

Before:

```mlir

            keys[i] = key;
            values[i] = value;
          }
        } else {
          // Need to sort and check for nulls and dupes.
          // Inline the Comparator implementation rather than transforming with a Function
          // to save code size.
          Arrays.sort(
              entryArray,
              0,
              size,
              (e1, e2) -> {

 * mapping and Punycode encoding.
 *
 * In order to avoid confusion and discourage phishing attacks, [IDNA Mapping][idna] transforms
 * names to avoid confusing characters. This includes basic case folding: transforming shouting
 * `SQUARE.COM` into cool and casual `square.com`. It also handles more exotic characters. For
 * example, the Unicode trademark sign (™) could be confused for the letters "TM" in

            keys[i] = key;
            values[i] = value;
          }
        } else {
          // Need to sort and check for nulls and dupes.
          // Inline the Comparator implementation rather than transforming with a Function
          // to save code size.
          Arrays.sort(
              entryArray,
              0,
              size,
              (e1, e2) -> {

	}

	for _, testCase := range transformers {
		transformedData, err := testCase.Transformer.TransformToStorage(ctx, originalText, dataCtx)
		if err != nil {
			t.Fatalf("%s: error while transforming data to storage: %s", testCase.Name, err)
		}

		for _, transformer := range transformers {
			untransformedData, stale, err := transformer.Transformer.TransformFromStorage(ctx, transformedData, dataCtx)

	// deletionTimestamp, and deletionGracePeriodSeconds checks.
	ShouldDeleteDuringUpdate func(ctx context.Context, key string, obj, existing runtime.Object) bool

	// TableConvertor is an optional interface for transforming items or lists
	// of items into tabular output. If unset, the default will be used.
	TableConvertor rest.TableConvertor

	// ResetFieldsStrategy provides the fields reset by the strategy that