registry.insert<TF::TensorFlowDialect, arith::ArithDialect>();
  }

  void runOnOperation() override;

 private:
  Option<OpSet> op_set_{
      *this, "target-opset", llvm::cl::init(OpSet::TF),
      llvm::cl::desc("Choose target opset."),
      llvm::cl::values(
          clEnumValN(OpSet::TF, "TF",
                     "Uses TF ops that mimic quantization behavior"),
          clEnumValN(OpSet::XLA, "XLA", "Uses TF XLA ops"),

    list.push(elem);
    elem.classList.toggle('hilite', matches.has(src));
  }

  // Adds or removes cl from classList of all elements for the specified source.
  function toggleClass(src, cl, value) {
    const list = elems.get(src);
    if (list) {
      for (const elem of list) {
        elem.classList.toggle(cl, value);
      }
    }
  }

  // fitText sets text and font-size clipped to the specified width w.

		ln.SetDeadline(time.Now().Add(someTimeout))
	}
	c, err := ln.Accept()
	if err != nil {
		if perr := parseAcceptError(err); perr != nil {
			ch <- perr
		}
		ch <- err
		return
	}
	ls.cl = append(ls.cl, c)

	network := ln.Addr().Network()
	if c.LocalAddr().Network() != network || c.RemoteAddr().Network() != network {

			}
		}
	}
}

// checkCopyLocksCompositeLit detects lock copy inside a composite literal
func checkCopyLocksCompositeLit(pass *analysis.Pass, cl *ast.CompositeLit) {
	for _, x := range cl.Elts {
		if node, ok := x.(*ast.KeyValueExpr); ok {
			x = node.Value
		}
		if path := lockPathRhs(pass, x); path != nil {

  #set ( $ancestors = $Helper.ancestors( $class ) )
  #set ( $allFields = [] )
  #set ( $inheritedFields = [] )
  #foreach ( $cl in $ancestors )
    #if ( $cl != $class )
      #set ( $dummy = $inheritedFields.addAll( $cl.getFields($version) ) )
    #end
    #set ( $dummy = $allFields.addAll( $cl.getFields($version) ) )
  #end
  #set ( $className = "${class.name}" )
  #if ( $locationTracking && $generateLocationClasses )

	return valid, err
}

//sys	putmsg(fd int, clptr *strbuf, dataptr *strbuf, flags int) (err error)

func Putmsg(fd int, cl []byte, data []byte, flags int) (err error) {
	var clp, datap *strbuf
	if len(cl) > 0 {
		clp = &strbuf{
			Len: int32(len(cl)),
			Buf: (*int8)(unsafe.Pointer(&cl[0])),
		}
	}
	if len(data) > 0 {
		datap = &strbuf{
			Len: int32(len(data)),

class DefaultTaskTest extends AbstractTaskTest {
    ClassLoader cl
    DefaultTask defaultTask

    Object testCustomPropValue

    def setup() {
        testCustomPropValue = new Object()
        defaultTask = createTask(DefaultTask.class)
        cl = Thread.currentThread().contextClassLoader
    }

    def cleanup() {
        Thread.currentThread().contextClassLoader = cl
    }

    DefaultTask getTask() {

        1 * visitor.visitParent(parent)
    }

    private void withSpec(ClassLoader parent = null, Closure cl) {
        if (parent == null) {
            parent = getClass().getClassLoader()
        }
        def spec = new FilteringClassLoader.Spec()
        cl(spec)
        this.classLoader = new FilteringClassLoader(parent, spec)
    }

  Option<bool> enable_inliner{*this, "enable-inliner",
                              llvm::cl::desc("Enable inliner."),
                              llvm::cl::init(false)};
  Option<bool> form_clusters{*this, "form-clusters",
                             llvm::cl::desc("Enable Cluster Formation pass."),
                             llvm::cl::init(false)};
};

// Propagates the pass manager with the passes involved in transforming or

  void runOnOperation() override;

 private:
  QuantizationOptions quant_options_;
  bool test_mode_;
  Option<OpSet> op_set_{
      *this, "target-opset", llvm::cl::init(OpSet::TF),
      llvm::cl::desc("Choose target opset."),
      llvm::cl::values(
          clEnumValN(OpSet::TF, "TF",
                     "Uses TF ops that mimic quantization behavior"),
          clEnumValN(OpSet::XLA, "XLA", "Uses TF XLA ops"),