}

	for _, elfsym := range syms {
		if elf.ST_TYPE(elfsym.Info) == elf.STT_NOTYPE || elf.ST_TYPE(elfsym.Info) == elf.STT_SECTION {
			continue
		}

		// Symbols whose names start with "type:" are compiler generated,
		// so make functions with that prefix internal.
		ver := 0
		symname := elfsym.Name // (unmangled) symbol name
		if elf.ST_TYPE(elfsym.Info) == elf.STT_FUNC && strings.HasPrefix(elfsym.Name, "type:") {

			plt.SetType(sym.SELFSECT)
		} else {
			plt.SetType(sym.SELFRXSECT)
		}

		s = ldr.CreateSymForUpdate(elfRelType+".plt", 0)
		s.SetType(sym.SELFROSECT)

		s = ldr.CreateSymForUpdate(".gnu.version", 0)
		s.SetType(sym.SELFROSECT)

		s = ldr.CreateSymForUpdate(".gnu.version_r", 0)
		s.SetType(sym.SELFROSECT)

		/* define dynamic elf table */
		dynamic := ldr.CreateSymForUpdate(".dynamic", 0)

					Port:     svcInfo.NodePort(),
					Protocol: protocol,
					SetType:  utilipset.BitmapPort,
				}}
			case utilipset.ProtocolUDP:
				nodePortSet = proxier.ipsetList[kubeNodePortSetUDP]
				entries = []*utilipset.Entry{{
					// No need to provide ip info
					Port:     svcInfo.NodePort(),
					Protocol: protocol,
					SetType:  utilipset.BitmapPort,
				}}
			case utilipset.ProtocolSCTP:

    int64_t index = entry.getFirst();
    Type new_type = entry.getSecond().first;
    int64_t updated_index = entry.getSecond().second;
    auto operand = caller->getOperand(index);
    builder.setInsertionPoint(caller);
    new_operands[index] = builder.create<TF::ReadVariableOp>(
        caller->getLoc(), ArrayRef<Type>{new_type}, ArrayRef<Value>{operand});
    caller->setOperand(index, new_operands[index]);

    new_quantized_func.setType(
        FunctionType::get(getContext(), TypeRange{ValueRange{args}},
                          new_quantized_func.getResultTypes()));
    for (auto [partitioned_call_arg, new_quantized_func_arg] :
         llvm::zip_equal(args, new_quantized_func.getArguments())) {
      new_quantized_func_arg.setType(partitioned_call_arg.getType());
    }

          << type_or_err.status().ToString();
      return type_or_err.status();
    }
    auto type = std::move(type_or_err).value();
    ret_types.push_back(type);
  }
  auto func_type = builder.getFunctionType(input_types, ret_types);

  // Construct function object
  auto func = FuncOp::create(func_loc, name, func_type, /* attrs= */ {});
  func.addEntryBlock();
  auto& body = func.getBody();

    auto x_type = mlir::dyn_cast<RankedTensorType>(op.getX().getType());
    // x input must have static shape.
    if (!x_type || !x_type.hasStaticShape()) {
      return failure();
    }
    Type int_type = x_type.getElementType();  // Could be i32 or i64.

    auto result_type = x_type;
    auto start = rewriter.create<ConstOp>(loc, GetScalarOfType(int_type, 0));
    Value limit = rewriter.create<ConstOp>(

func (rel Reloc) Weak() bool                 { return objabi.RelocType(rel.Reloc.Type())&objabi.R_WEAK != 0 }
func (rel Reloc) SetType(t objabi.RelocType) { rel.Reloc.SetType(uint16(t)) }
func (rel Reloc) Sym() Sym                   { return rel.l.resolve(rel.r, rel.Reloc.Sym()) }
func (rel Reloc) SetSym(s Sym)               { rel.Reloc.SetSym(goobj.SymRef{PkgIdx: 0, SymIdx: uint32(s)}) }

        loc, tensorflow::GetTypeFromTFTensorShape({-1}, shape_dtype),
        input_handle);

    Type branch_args_type[] = {input_handle.getType(), input_shape.getType(),
                               size_diff.getType(), size.getType()};
    Type branch_result_type[] = {result_type};
    auto func_type = FunctionType::get(rewriter.getContext(), branch_args_type,

	public final fun addPart (Lokhttp3/RequestBody;)Lokhttp3/MultipartBody$Builder;
	public final fun build ()Lokhttp3/MultipartBody;
	public final fun setType (Lokhttp3/MediaType;)Lokhttp3/MultipartBody$Builder;
}

public final class okhttp3/MultipartBody$Companion {
}

public final class okhttp3/MultipartBody$Part {