def operation = signing.sign(input1, input2)
        
        then:
        output1.exists() && output2.exists()
        [input1, input2] == operation.filesToSign.files.toList()[0..1]
        [output1, output2] == operation.signatureFiles.files.toList()[0..1]
        [output1, output2] == operation.signatures*.file.toList()
    }

    def "sign multiple artifacts with defaults"() {
        when:

        }
    }

    private void onlyTestClass1In(String output) {
        assert output.contains('TestClass1.testMethod')
        assert !output.contains('TestClass2.testMethod')
    }

    private void onlyTestClass2In(String output) {
        assert output.contains('TestClass2.testMethod')
        assert !output.contains('TestClass1.testMethod')
    }

        outputContains(output3)

        where:
        expression                                                                                      | output1                     | output2                            | output3

        then:
        output1.toString().contains(ARG_1)
        output1.toString().contains(ARG_2)

        when:
        String output2 = runBuild { launcher -> launcher.addArguments(["-P$ARG_1" as String]).addArguments(["-P$ARG_2" as String]) }

        then:
        output2.toString().contains(ARG_1)

        setup:
        sampleBuildWithTest()

        when:
        String output1 = runTaskAndTestClassUsing(firstDebug)
        String output2 = runTaskAndTestClassUsing(secondDebug)

        then:
        assertTestDebugMode(output1, firstDebug)
        assertTestDebugMode(output2, secondDebug)

        where:
        scenarioName                     | firstDebug | secondDebug

                @Override
                void transform(TransformOutputs outputs) {
                    def input = inputArtifact.get().asFile
                    def output1 = outputs.file(input.name + ".1." + target)
                    def output2 = outputs.file(input.name + ".2." + target)
                    if (showOutput) {

        withWatchFs().run ":incremental", "-DoutputDir=output1"
        then:
        executedAndNotSkipped(":incremental")

        when:
        file("build/output2/overlapping.txt").text = "overlapping"
        waitForChangesToBePickedUp()
        withWatchFs().run ":incremental", "-DoutputDir=output2"
        then:
        executedAndNotSkipped(":incremental")
        file("build/output1").assertDoesNotExist()

        when:

        }

        void createContents() {
            file.text = "output file"
            dir.file("some/dir/output1.txt") << "output1"
            dir.file("some/dir/output2.txt") << "output2"
            dir.file("some/output3.txt") << "output3"
            dir.file("some/another/output4.txt") << "output4"
            dir.createDir("some/lonelyDir")
        }
    }

REGISTER_OP("TestThreeInputsOp")
    .Input("x: T")
    .Input("y: T")
    .Input("z: T")
    .Output("output: T")
    .Attr("T: numbertype")
    .Attr("act: {'x', 'y', 'z'} = 'z'");

REGISTER_OP("TestTwoOutputsOp")
    .Input("input: T")
    .Output("output1: T")
    .Output("output2: T")
    .Attr("T: numbertype");

  func.func @conv_with_multiple_uses(%arg0: tensor<1x3x4x3xf32> {tf_saved_model.index_path = ["input"]}) -> (tensor<1x3x2x2xf32> {tf_saved_model.index_path = ["output"]}, tensor<1x3x2x1xf32> {tf_saved_model.index_path = ["output2"]}) attributes {tf.entry_function = {control_outputs = "", inputs = "serving_default_input:0", outputs = "PartitionedCall:0, Sum:0"}, tf_saved_model.exported_names = ["serving_default"]} {