TensorArraySideEffectAnalysis::TensorArraySideEffectAnalysis(
    mlir::ModuleOp module) {
  for (auto func_op : module.getOps<mlir::func::FuncOp>()) {
    if (FunctionContainsOnlyNoSideEffectOpOrTensorArrayOp(func_op)) {
      set_.insert(func_op);
    }
  }
}

}  // namespace tfrt_compiler

        val manifestFile = tempDirectory.resolve("MANIFEST.MF")
        val buildReceiptFile = tempDirectory.resolve("build-receipt.properties")
        val classGraph = JarAnalyzer("", keepClasses, keepClasses, setOf()).analyze(artifact, classesDir, manifestFile, buildReceiptFile)

        createJar(classGraph, classesDir, manifestFile, jarFile)

        return jarFile
    }

    private

    outputs.file(outputFile)
    val values = embeddedKotlinBaseDependencies
    inputs.files(values)
    val skippedModules = setOf(project.name, "distributions-dependencies")
    // https://github.com/gradle/configuration-cache/issues/183
    val modules = provider {
        embeddedKotlinBaseDependencies.incoming.resolutionResult.allComponents

# limitations under the License.

# shellcheck disable=SC2034 # Variables sourced in other scripts.

# A set of helpers for tests

reset=$(tput sgr0)
bold=$(tput bold)
black=$(tput setaf 0)
red=$(tput setaf 1)
green=$(tput setaf 2)
readonly reset bold black red green

kube::test::clear_all() {
  if kube::test::if_supports_resource "rc" ; then
    # shellcheck disable=SC2154

        is KtEnumEntrySuperclassReferenceExpression -> true
        else -> false
    }

    protected companion object {
        private val nonCallBinaryOperator: Set<KtSingleValueToken> = setOf(KtTokens.ELVIS, KtTokens.EQEQEQ, KtTokens.EXCLEQEQEQ)
    }

        type = buildInitType
        modularization = modularizationOption
    }
    samples.publishedSamples.create(sampleName) {
        dsls = setOf(Dsl.GROOVY, Dsl.KOTLIN)
        sampleDirectory = generateSampleTask.flatMap { it.target }
        displayName = "Building $languageDisplayName $capKind$multiProjectSuffix"

func (c *context) set_ip(x uintptr) { c.pc = uint64(x) }
func (c *context) set_sp(x uintptr) { c.xsp = uint64(x) }
func (c *context) set_lr(x uintptr) { c.x[30] = uint64(x) }
func (c *context) set_fp(x uintptr) { c.x[29] = uint64(x) }

func prepareContextForSigResume(c *context) {
	c.x[0] = c.xsp
	c.x[1] = c.pc
}

func dumpregs(r *context) {
	print("r0   ", hex(r.x[0]), "\n")

func (c *context) lr() uintptr      { return 0 }
func (c *context) set_lr(x uintptr) {}

func (c *context) set_ip(x uintptr) { c.rip = uint64(x) }
func (c *context) set_sp(x uintptr) { c.rsp = uint64(x) }
func (c *context) set_fp(x uintptr) { c.rbp = uint64(x) }

func prepareContextForSigResume(c *context) {
	c.r8 = c.rsp
	c.r9 = c.rip
}

func dumpregs(r *context) {
	print("rax     ", hex(r.rax), "\n")

func (c *context) set_sp(x uintptr) { c.spr = uint32(x) }
func (c *context) set_lr(x uintptr) { c.lrr = uint32(x) }

// arm does not have frame pointer register.
func (c *context) set_fp(x uintptr) {}

func prepareContextForSigResume(c *context) {
	c.r0 = c.spr
	c.r1 = c.pc
}

func dumpregs(r *context) {
	print("r0   ", hex(r.r0), "\n")
	print("r1   ", hex(r.r1), "\n")

                                      {"Tperm", DT_INT32},
                                  }}},
                                {{"c", "t0:y:0"}});

  AttrValue true_attribute;
  true_attribute.set_b(true);
  (*called_func.mutable_attr())[kXlaMustCompileAttr] = true_attribute;
  *library.add_function() = called_func;
  TF_ASSERT_OK(root.graph()->AddFunctionLibrary(library));