types.SetType(sym.STYPE)
	types.SetSize(8)
	ldr.SetAttrSpecial(types.Sym(), false)

	etypes := ldr.CreateSymForUpdate("runtime.etypes", 0)
	etypes.SetType(sym.SFUNCTAB)
	ldr.SetAttrSpecial(etypes.Sym(), false)

	if ctxt.HeadType == objabi.Haix {
		rodata := ldr.CreateSymForUpdate("runtime.rodata", 0)
		rodata.SetType(sym.SSTRING)
		rodata.SetSize(8)

  builder.setInsertionPoint(while_op);
  // Create per-device variables for formatting state, and add them to the while
  // loop.
  auto key_type =
      RankedTensorType::get({2}, TF::StringType::get(builder.getContext()));
  auto state_vars =
      CreateStateVars(devices, while_op.getLoc(), key_type, &builder);
  replicate = AddInputsToReplicateOp(replicate, state_vars, devices);

      if (IsLargeFloatType(op_operand.get().getType())) {
        op_operand.set(builder.create<TF::CastOp>(
            op->getLoc(), ToBfloat16Type(op_operand.get().getType()),
            op_operand.get()));
      }
    }
    builder.setInsertionPointAfter(op);
    for (auto op_result : op->getOpResults()) {
      if (IsLargeFloatType(op_result.getType())) {
        const Type original_type = op_result.getType();

                            proxy = result.getProxy();

                            ProxyInfo proxyInfo = new ProxyInfo();
                            proxyInfo.setHost(proxy.getHost());
                            proxyInfo.setType(proxy.getProtocol());
                            proxyInfo.setPort(proxy.getPort());
                            proxyInfo.setNonProxyHosts(proxy.getNonProxyHosts());

        return name;
    }

    public void setName(String name) {
        this.name = name;
    }

    /**
     * The type of the library.
     */
    public String getType() {
        return type;
    }

    public void setType(String type) {
        this.type = type;
    }

    /**
     * A set of Jar files containing compiler classes.
     */
    public Set<File> getCompilerClasspath() {

  } else if (auto complex_type =
                 mlir::dyn_cast<mlir::ComplexType>(element_type)) {
    auto etype = complex_type.getElementType();
    if (etype.isF32()) {
      tensorflow::TensorProto repr;
      repr.set_dtype(tensorflow::DT_COMPLEX64);

      tensorflow::TensorShapeProto* shape = repr.mutable_tensor_shape();
      shape->set_unknown_rank(false);
      shape->add_dim()->set_size(int64_t{1});
      std::string content;

def : Pat<(TF_RandomUniformOp:$old $shape, $seed, $seed2),
          (MHLO_RngOp
            (MHLO_ConstantOp
              (NativeCodeCall<"$_builder.getFloatAttr(old.getDtype(), 0.0)">)),
            (MHLO_ConstantOp
              (NativeCodeCall<"$_builder.getFloatAttr(old.getDtype(), 1.0)">)),
            (CastValueToI64 $old, $shape),
            MHLO_RngDistributionValue<"UNIFORM">),
          [(IsShapedTensor $shape)]>;

}

// InitUniverse initializes the universe block.
func InitUniverse() {
	types.InitTypes(func(sym *types.Sym, typ *types.Type) types.Object {
		n := ir.NewDeclNameAt(src.NoXPos, ir.OTYPE, sym)
		n.SetType(typ)
		n.SetTypecheck(1)
		sym.Def = n
		return n
	})

	for _, s := range &builtinFuncs {
		ir.NewBuiltin(types.BuiltinPkg.Lookup(s.name), s.op)
	}

	for _, s := range &unsafeFuncs {

    if (!req_op) return failure();

    // Create a new func.call op with f32 output.
    auto new_call_op = call_op.clone();
    new_call_op->getResult(0).setType(
        mlir::cast<ShapedType>(call_op.getResult(0).getType())
            .clone(rewriter.getF32Type()));
    rewriter.setInsertionPoint(call_op);
    rewriter.insert(new_call_op);

    private static final Type SYSTEM_TYPE = getType(System.class);
    private static final Type INTEGER_TYPE = getType(Integer.class);
    private static final Type INSTRUMENTED_TYPE = getType(Instrumented.class);
    private static final Type LONG_TYPE = getType(Long.class);
    private static final Type BOOLEAN_TYPE = getType(Boolean.class);
    public static final Type PROPERTIES_TYPE = getType(Properties.class);