outputContains("ON CI")

        when: "changing the value of the input doesn't invalidate cache"
        executer.withEnvironmentVars(ci: "2")
        configurationCacheRun("-Dci=2", "build")

        then:
        configurationCache.assertStateLoaded()
        outputContains("ON CI")

        when: "removing the input invalidates cache"
        configurationCacheRun("build")

        then:

// Converts input tensors and variables which are parameters of the
// XlaComputation into PjRtBuffers to be fed as input to the
// PjRtLoadedExecutable.
//
// Assumes that the first `num_missing_prefix_ctx_inputs` inputs to the
// compilation_result are missing in `inputs` and adjusts indexing into `inputs`
// accordingly.

  }

  // Get the list of input Op names from the function attribute.
  mlir::DictionaryAttr tf_attrs =
      entry_function->getAttrOfType<mlir::DictionaryAttr>("tf.entry_function");
  llvm::SmallVector<llvm::StringRef, 4> function_input_names;
  function_input_names.reserve(model_flags.input_arrays().size());
  auto input_attr = tf_attrs.get("inputs");
  if (!input_attr) {

      // Collect all the quantized inputs and "clone" the matched op by these
      // inputs.
      SmallVector<Value, 4> inputs;
      inputs.reserve(candidate_op->getNumOperands());
      for (auto operand : candidate_op->getOperands()) {
        Type operand_type = operand.getType();
        if (mlir::isa<NoneType>(operand_type)) {
          inputs.push_back(operand);
          continue;
        }

    def "task ad hoc input property is implicitly finalized when task starts execution"() {
        given:
        buildFile """

def prop = project.objects.listProperty(String)

task thing {
    inputs.property("prop", prop)
    prop.set(["value 1"])
    doLast {
        prop.set(["ignored"])

    for (Value input : island.getControlInputs()) {
      Operation* def = input.getDefiningOp();
      DCHECK_EQ(def->getParentOp(), graph);
      try_update_current_candidate(def);
    }

    // Check island data operands.
    island.walk([&](Operation* op) {
      for (Value input : op->getOperands()) {
        Operation* def = input.getDefiningOp();

[[sec:task_in_out]]
== Task inputs and outputs

Actionable tasks have inputs and outputs.
Inputs and outputs can be files, directories, or variables.

In actionable tasks:

- *Inputs* consist of a collection of files, folders, and/or configuration data. +

		if c.Namespace == "" {
			c.Namespace = "default"
		}
		configs[i] = c
	}
	configCache[input] = configs
	k8sConfigCache[input] = k8sTypes
	return configs, k8sTypes
}

func parseKubernetesTypes(inputs string) (string, int) {
	matches := 0
	sb := strings.Builder{}
	for _, text := range strings.Split(inputs, "\n---") {
		if strings.Contains(text, "kind: Secret") {
			sb.WriteString(text + "\n---\n")

        }
    })
    return properties
}


private
fun collectRegisteredInputsOf(task: Task): List<RegisteredProperty> {

    val properties = mutableListOf<RegisteredProperty>()

    (task.inputs as TaskInputsInternal).visitRegisteredProperties(object : PropertyVisitor {

        override fun visitInputFileProperty(
            propertyName: String,
            optional: Boolean,

		gp2xer1xer  = regInfo{inputs: []regMask{gp | sp | sb, gp | sp | sb, xer}, outputs: []regMask{gp, xer}, clobbers: xer}
		gp31        = regInfo{inputs: []regMask{gp | sp | sb, gp | sp | sb, gp | sp | sb}, outputs: []regMask{gp}}
		gp1cr       = regInfo{inputs: []regMask{gp | sp | sb}}
		gp2cr       = regInfo{inputs: []regMask{gp | sp | sb, gp | sp | sb}}
		crgp        = regInfo{inputs: nil, outputs: []regMask{gp}}