*/
    boolean isOutputOwnedByBuild(File file);

    /**
     * Finalizes the registered build outputs.
     *
     * After this call, it is impossible to register more outputs.
     */
    void resolveOutputs();

    /**
     * Gets the set of registered outputs as file collections.
     */
    Set<FileCollection> getRegisteredOutputs();

        result.assertTasksNotSkipped(assembleAppTasks)

        outputs.deletedClasses("multiply", "sum")

        // See https://github.com/gradle/gradle-native/issues/1004
        if (toolchainUnderTest.version.major == 5) {
            outputs.recompiledClasses('renamed-sum')
        } else {
            outputs.recompiledClasses('greeter', 'renamed-sum', 'main')
        }

     * as this does not include overlapping outputs not produced by the work.
     */
    ImmutableSortedMap<String, FileSystemSnapshot> getOutputFilesProducedByWork();

    /**
     * The origin metadata of the outputs captured.
     */
    OriginMetadata getOriginMetadata();

    /**
     * Whether the outputs come from a previous execution.
     */
    boolean isReused();

}

// A SavedConcreteFunction whose (inputs + captures) = functiondef inputs,
// and whose outputs = functiondef outputs should successfully load.
TEST_F(SavedConcreteFunctionLoadingTest, SuccessfulLoad) {
  // `saved` has 1 input, 2 captures, 3 outputs
  SavedConcreteFunction saved;
  *saved.mutable_canonicalized_input_signature() =
      testing::SingleArgInputSignature();

  // CHECK-NEXT:     } ],
  // CHECK-NEXT:     inputs: [ 0 ],
  // CHECK-NEXT:     outputs: [ 6 ],
  // CHECK-NEXT:     operators: [ {
  // CHECK-NEXT:       inputs: [ 0, 1 ],
  // CHECK-NEXT:       outputs: [ 2 ]
  // CHECK-NEXT:     }, {
  // CHECK-NEXT:       opcode_index: 1,
  // CHECK-NEXT:       inputs: [ 0, 2 ],
  // CHECK-NEXT:       outputs: [ 3 ],
  // CHECK-NEXT:       builtin_options_type: MulOptions,

namespace tensorflow {
namespace test {

/// Computes the outputs listed in 'tensors', returns the tensors in 'out'.
void GetTensors(const Scope& scope, OutputList tensors,
                std::vector<Tensor>* out);

// Computes the outputs listed in 'tensors', returns the tensors in 'out'.
// assign_vars are extra outputs that should be run
// e.g. to assign values to variables.

        buildFile << """
            apply plugin: "base"
            task customTask {
                inputs.file "input.txt"
                outputs.file "build/output" withPropertyName "output"
                outputs.cacheIf { true }
                doLast {
                  mkdir('build/output')
                  file('build/output/output.txt').text = file('input.txt').text
                }

// CHECK-NEXT:    inputs: [ 0, 1 ],
// CHECK-NEXT:    outputs: [ 3 ],
// CHECK-NEXT:    operators: [ {
// CHECK-NEXT:      inputs: [ 0, 1 ],
// CHECK-NEXT:      outputs: [ 2 ],
// CHECK-NEXT:      builtin_options_type: AddOptions,
// CHECK-NEXT:      builtin_options: {
// CHECK-EMPTY:
// CHECK-NEXT:      }
// CHECK-NEXT:    }, {
// CHECK-NEXT:      inputs: [ 2, 2 ],
// CHECK-NEXT:      outputs: [ 3 ],

        def clean = rootBuild.task('clean').dependsOn(cleanFoo).dependsOn(cleanBar)
        def generateFoo = foo.task('generateFoo').outputs('build/foo')
        def generateBar = bar.task('generateBar').outputs('build/bar')
        def generate = rootBuild.task('generate').dependsOn(generateBar).dependsOn(generateFoo)

        // conflicts with command line order

  }

  std::vector<Value> inputs;
  std::vector<Value> outputs;
  computeInputsOutputs(ops, &inputs, &outputs);

  std::vector<Type> input_types;
  std::vector<Type> output_types;

  input_types.reserve(inputs.size());
  for (Value v : inputs) {
    input_types.push_back(v.getType());
  }
  output_types.reserve(outputs.size());
  for (Value v : outputs) {
    output_types.push_back(v.getType());
  }