var segs bytes.Buffer
			itype := fmt.Sprintf("%s%d", typ, iWidth)
			names.WriteString("\ttest" + itype + ",\n")
			for _, fWidth := range floatWidths {
				ftype := fmt.Sprintf("float%d", fWidth)
				seg := strings.Replace(testSegment, "$F", ftype, -1)
				seg = strings.Replace(seg, "$I", itype, -1)
				segs.WriteString(seg)
			}
			body := strings.Replace(testFunc, "$I", itype, -1)
			if typ[0] == 'u' {

    return absl::OkStatus();
  } else if (auto itype = mlir::dyn_cast<mlir::IntegerType>(type)) {
    switch (itype.getWidth()) {
      case 1:
        *dtype = DT_BOOL;
        return absl::OkStatus();
      case 4:
        *dtype = itype.isUnsigned() ? DT_UINT4 : DT_INT4;
        return absl::OkStatus();
      case 8:
        *dtype = itype.isUnsigned() ? DT_UINT8 : DT_INT8;
        return absl::OkStatus();

  } else if (auto itype = mlir::dyn_cast<mlir::IntegerType>(type)) {
    switch (itype.getWidth()) {
      case 1:
        return tflite::TensorType_BOOL;
      case 4:
        if (itype.isUnsigned())
          llvm_unreachable("invalid unsigned 4bit integer Type in conversion");
        else
          return tflite::TensorType_INT4;
      case 8:
        if (itype.isUnsigned())

    } else {
      return tensorflow::Status(absl::StatusCode::kInvalidArgument,
                                "Unsupported type");
    }
  } else if (auto itype = mlir::dyn_cast<mlir::IntegerType>(element_type)) {
    if (element_type.isSignedInteger()) {
      switch (itype.getWidth()) {
        case 8:
          return DenseElementsAttr::get<int8_t>(shaped_type,
                                                static_cast<int8_t>(value));

		}
		iAddr := retrieveListenerAddress(listeners[i])
		jAddr := retrieveListenerAddress(listeners[j])
		if iAddr != jAddr {
			return iAddr < jAddr
		}
		iType := retrieveListenerType(listeners[i])
		jType := retrieveListenerType(listeners[j])
		return iType < jType
	})

	fmt.Fprintln(w, "LISTENER\tCHAIN\tMATCH\tDESTINATION")
	for _, l := range listeners {
		chains := getFilterChains(l)

    mlir::RankedTensorType shaped_type, const std::vector<uint8_t>& buffer,
    bool truncate) {
  mlir::Type elem_type = shaped_type.getElementType();
  unsigned bit_width;
  if (auto itype = mlir::dyn_cast<mlir::IntegerType>(elem_type)) {
    bit_width = itype.getWidth();
  } else if (auto qtype =
                 mlir::dyn_cast<mlir::quant::QuantizedType>(elem_type)) {
    bit_width = qtype.getStorageTypeIntegralWidth();

        return false;
    }

    private void ambiguousClass(ClassNode type, ClassNode iType, String name) {
        if (type.getName().equals(iType.getName())) {
            addError("reference to " + name + " is ambiguous, both class " + type.getName() + " and " + iType.getName() + " match", type);
        } else {
            type.setRedirect(iType);
        }
    }

    private boolean resolveAliasFromModule(ClassNode type) {

		i := &inter.Methods[k]
		itype := toRType(&inter.Type).typeOff(i.Typ)
		name := toRType(&inter.Type).nameOff(i.Name)
		iname := name.Name()
		ipkg := pkgPath(name)
		if ipkg == "" {
			ipkg = inter.PkgPath.Name()
		}
		for ; j < nt; j++ {
			t := &xmhdr[j]
			rtyp := toRType(typ)
			tname := rtyp.nameOff(t.Name)
			if rtyp.typeOff(t.Mtyp) == itype && tname.Name() == iname {

    }
    return Status(absl::StatusCode::kInvalidArgument, "Unsupported type");
  } else if (auto itype = mlir::dyn_cast<mlir::IntegerType>(type)) {
    switch (itype.getWidth()) {
      case 1:
        return tflite::TensorType_BOOL;
      case 4:
        if (itype.isUnsigned()) {
          return Status(absl::StatusCode::kInvalidArgument,
                        "Unsupported 4bit unsigned int type");

#rsc: "to find the number of entries in the itab's Fn field look at
# itab.inter->numMethods
# i am sure i have the names wrong but look at the interface type
# and its method count"
# so Itype will start with a commontype which has kind = interface

#
# Register all convenience functions and CLI commands
#
GoLenFunc()
GoCapFunc()
DTypeFunc()
GoroutinesCmd()
GoroutineCmd()