ModuleOp module = op->getParentOfType<ModuleOp>();
    SymbolTable symbol_table(module);
    func::FuncOp float_func =
        dyn_cast<func::FuncOp>(symbol_table.lookup(function_name));
    OperandRange func_args = op.getArgs();
    func::FuncOp new_float_func = float_func.clone();

    SmallVector<Value> new_float_func_args{func_args.begin(), func_args.end()};
    new_float_func_args[weight_operand_idx] = reshape_op;

                    // instantiated 'derivedVariant' as 'DefaultConfigurationMetadata' which does the rules application
                    // automatically when calling the getters (done in the code below).
                    RealisedConfigurationMetadata derivedVariantMetadata = new RealisedConfigurationMetadata(
                        metadata.getId(),
                        sourceVariant.getName(),

void PrepareQuantizeDRQPass::removeAllStatsOp(func::FuncOp func) {
  func.walk([&](quantfork::StatisticsOp stats_op) {
    stats_op.replaceAllUsesWith(stats_op.getArg());
    stats_op.erase();
  });
}

#include "tensorflow/compiler/mlir/quantization/tensorflow/passes/prepare_quantize.inc"

void PrepareQuantizeDRQPass::runOnOperation() {

        StringBuilder builder = new StringBuilder();
        ArgumentAppender argument = new ArgumentAppender(builder, task.getWorkingDir());
        builder.append("-javaagent:");
        builder.append(agent.getJar().getAbsolutePath());
        builder.append('=');
        argument.append("destfile", getDestinationFile());
        argument.append("append", true);
        argument.append("includes", getIncludes());

	effective   uint32
	permitted   uint32
	inheritable uint32
}

const CAP_SYS_TIME = 25
const CAP_SYSLOG = 34

type caps struct {
	hdr  capHeader
	data [2]capData
}

func getCaps() (caps, error) {
	var c caps

	// Get capability version
	if _, _, errno := syscall.Syscall(syscall.SYS_CAPGET, uintptr(unsafe.Pointer(&c.hdr)), uintptr(unsafe.Pointer(nil)), 0); errno != 0 {

    auto execute =
        llvm::cast<TF::TPUExecuteOp>(execute_launch.GetBody().front());
    const auto& input_mapping = std::get<1>(execute_and_input_mapping);

    for (const auto& input_and_idx : llvm::enumerate(execute.getArgs())) {
      Value input = input_and_idx.value();
      const int64_t execute_arg_index = input_and_idx.index();
      if (auto block_arg = mlir::dyn_cast<BlockArgument>(input)) {

* Many other types extend `Provider` and can be used wherever a `Provider` is required.

[[managed_properties]]
== Using Gradle Managed Properties

Gradle's managed properties allow you to declare properties as abstract getters (Java, Groovy) or abstract properties (Kotlin).

Gradle then automatically provides the implementation for these properties, managing their state.

        &effects) {
  effects.reserve(2 * getArgs().size() + 1);
  effects.emplace_back(MemoryEffects::Write::get(),
                       ResourceEffects::_XlaRun::get());

  // Conservatively mark resource handles as read and write, as without
  // analyzing _XlaCompile, there is not sufficient information to determine
  // effects on resources.
  for (Value value : getArgs()) {
    MarkResourceAsReadAndWrite(value, effects);

    auto q =
        rewriter.create<QuantizeOpT>(op.getLoc(), result_type, op.getArg());
    q->setAttr(kVolatileOpAttrName, rewriter.getUnitAttr());

    auto dq = rewriter.create<DequantizeOpT>(op.getLoc(), op.getType(), q);
    op.getResult().replaceAllUsesWith(dq);
    q.getOperation()->replaceUsesOfWith(dq, op.getArg());
    op.erase();

    return success();
  }

 private:
  int num_bits;

            }
        """

        when:
        succeeds 'taskWithInputs'

        then:
        skipped(':taskWithInputs')
    }

    @ToBeImplemented("Private getters should be ignored")
    def "private inputs can be overridden in subclass"() {
        given:
        buildFile << '''
            abstract class MyBaseTask extends DefaultTask {

                @Inject