tObservedNodes=[],e.forEach(function(e){this.removeListeners_(e);for(var t=w.get(e),n=0;n<t.length;n++)if(t[n]===this){t.splice(n,1);break}},this)},handleEvent:function(e){switch(e.stopImmediatePropagation(),e.type){case"DOMAttrModified":var t=e.attrName,n=e.relatedNode.namespaceURI,r=e.target,o=new l("attributes",r);o.attributeName=t,o.attributeNamespace=n;var a=e.attrChange===MutationEvent.ADDITION?null:e.prevValue;i(r,function(e){if(e.attributes&&(!e.attributeFilter||!e.attributeFilter.length...

// Creates a NamedAttribute given its name and value. Essentially creates
// a pair: {attribute_name, attribute_value}.
class NamedAttr<string attr_name> :
    NativeCodeCall<"NamedAttribute{$_builder.getStringAttr(\"" # attr_name # "\"), $0}">;

// Checks if the value is not defined inside a lifted function by checking the
// `tf_quant.composite_function` attribute.
def IsNotInLiftedFunc :

    // TODO(b/146937733): Don't use <void> here.
    llvm::StringRef attr_name = mlir::OpTrait::AttrSizedOperandSegments<
        void>::getOperandSegmentSizeAttr();
    attrs_to_ignore.insert(attr_name.data());
  }

  if (inst->hasTrait<mlir::OpTrait::AttrSizedResultSegments>()) {
    // TODO(b/146937733): Don't use <void> here.
    llvm::StringRef attr_name = mlir::OpTrait::AttrSizedResultSegments<

// completion.
void SetAttr(TF_Graph* graph, TF_Operation* op, const char* attr_name,
             TF_Buffer* attr_value_proto, TF_Status* status);

// Clears the attr in the node_def Protocol Buffer and sets a status upon
// completion.
void ClearAttr(TF_Graph* graph, TF_Operation* op, const char* attr_name,
               TF_Status* status);

// Sets the experimental_type` field in the node_def Protocol Buffer.

import org.mortbay.jetty.handler.HandlerList;

/**
 * @author shinsuke
 *
 */
public class ApiExtractorTest extends PlainTestCase {
    final int port = 9876;

    final String ATTR_NAME = "filedata";

    private TestApiExtractorServer server;

    private ApiExtractor extractor;

    @Override
    protected void setUp() throws Exception {
        super.setUp();

  return n.attrs().Find(kXlaOutsideCompilationAttr) != nullptr;
}

Status MakeCallNodeFromAttribute(const Node& node, const std::string& attr_name,
                                 NodeDef* node_def) {
  const NameAttrList* name_attr;
  TF_RETURN_IF_ERROR(GetNodeAttr(node.attrs(), attr_name, &name_attr));
  node_def->set_op(name_attr->name());
  *(node_def->mutable_attr()) = name_attr->attr();
  return absl::OkStatus();
}

  for (auto& attr : op->getAttrs()) {
    llvm::StringRef attr_name = attr.getName().getValue();
    if (attribute_getter_map.find(attr_name.str()) !=
        attribute_getter_map.end()) {
      auto attr_val =
          (attribute_getter_map[attr_name.str()])(rewriter, identifier_to_attr);
      attrs.push_back(rewriter.getNamedAttr(attr_name, attr_val));
    }
  }

  (*op)->setAttr("data_format", StringAttr::get(context, target_data_format));

  for (auto pair : shuffle_attrs) {
    StringRef attr_name = pair.first;
    ArrayAttr attr_value = pair.second;
    (*op)->setAttr(attr_name,
                   ShuffleArrayAttr(attr_value, reverse_permutation));
  }

  auto fold = cast<FoldOperandsTransposeInterface>(op->getOperation());

// Set an AttrValue on the op. Doesn't handle the list types.
void SetOpAttrValueScalar(TFE_Context* ctx, TFE_Op* op,
                          const tensorflow::AttrValue& default_value,
                          const char* attr_name, TF_Status* status);
}  // namespace tensorflow

  void runOnOperation() override;
};

LogicalResult SetOnceModuleAttribute(StringRef attr_name,
                                     IntegerAttr attr_value, Operation* op,
                                     ModuleOp& module) {
  const auto ex_attr_value = module->getAttrOfType<IntegerAttr>(attr_name);
  if (ex_attr_value == nullptr) {
    module->setAttr(attr_name, attr_value);
    return success();
  }
  if (ex_attr_value == attr_value) {