super(taskDependencyFactory);
        this.taskPath = taskPath;
        this.calculatedFiles = calculatedFiles;
        targets = new ArrayList<>(1 + inputs.length);
        for (Object input : inputs) {
            if (input instanceof LifecycleAwareValue) {
                targets.add((LifecycleAwareValue) input);

tasks.register("showTestClasspath") {
    val testCompileClasspath: FileCollection = configurations.testCompileClasspath.get()
    val testRuntimeClasspath: FileCollection = configurations.testRuntimeClasspath.get()
    inputs.files(testCompileClasspath)
    inputs.files(testRuntimeClasspath)
    doLast {
        println(testCompileClasspath.files.map(File::getName))
        println(testRuntimeClasspath.files.map(File::getName))
    }

// RUN: odml-to-stablehlo-opt %s -tfl-parse-stablehlo-ops | FileCheck %s

module {
func.func @main(%arg0: tensor<2xi32>) -> tensor<2xi32> attributes {tf.entry_function = {inputs = "arg0", outputs = "tfl.custom1"}} {
  %0 = "tfl.custom"(%arg0, %arg0) {custom_code = "stablehlo.add", custom_option = #tfl<const_bytes : "0x00000100002401">} : (tensor<2xi32>, tensor<2xi32>) -> tensor<2xi32>

    }
}

// tag::bundle-task[]
tasks.register<NpmTask>("bundle") {
    args = listOf("run", "bundle")

    outputs.cacheIf { true }

    inputs.dir(file("scripts"))
        .withPropertyName("scripts")
        .withPathSensitivity(PathSensitivity.RELATIVE)

    inputs.files("package.json", "package-lock.json")
        .withPropertyName("configFiles")
        .withPathSensitivity(PathSensitivity.RELATIVE)

                }
            }
        }

        then:
        def binaries = realizeBinaries()
        binaries.size() == 2
        binaries.bin1.inputs == [binaries.bin1.sources.src1, binaries.bin1.sources.src2] as Set
        binaries.bin2.inputs == [binaries.bin2.sources.src1] as Set
    }

    def "copies binary tasks into task container"() {
        when:
        dsl {

/**
 * An instantiator which is responsible for allowing the capture of implicit
 * inputs provided by injected services. For this to be possible, a capturing
 * instantiator "session" must be created before the instance is created. This
 * must be done by calling the {@link #capturing(ImplicitInputRecorder)} method
 * which provides a registrar which will record implicit inputs.
 *
 * Not all services have to be capturing. Only services implementing the

name: Latest Changes

on:
  pull_request_target:
    branches:
      - master
    types:
      - closed
  workflow_dispatch:
    inputs:
      number:
        description: PR number
        required: true
      debug_enabled:
        description: 'Run the build with tmate debugging enabled (https://github.com/marketplace/actions/debugging-with-tmate)'
        required: false
        default: 'false'

jobs:
  latest-changes:

      %arg2: tensor<!tf_type.string> {tf_saved_model.bound_input = @z}
    ) -> (tensor<1x1xi32> {tf_saved_model.index_path = ["r"]})
      attributes {
        tf.entry_function = {control_outputs = "", inputs = "input:0", outputs = "result:0"},
        tf_saved_model.exported_names = ["serving_default"]
    }
  {
    %0 = "tf.ReadVariableOp"(%arg1) {device = ""} : (tensor<!tf_type.resource<tensor<3x1xi32>>>) -> tensor<3x1xi32>

  attributes {tf.entry_function = {control_outputs = "", inputs = "", outputs = "dense_2/Add:0"}, tf_saved_model.exported_names = ["serving_default"]} {

public interface WorkInputListener {
    /**
     * Called when the execution of the given work item is imminent, or would have been if the primary inputs would not have been empty.
     * <p>
     *
     * @param work the identity of the unit of work to be executed
     * @param relevantBehaviors the file system inputs relevant to the task execution
     */
    void onExecute(UnitOfWork work, EnumSet<InputBehavior> relevantBehaviors);