func (c *sigctxt) sigcode() uint64 { return uint64(c.info.si_code) }
func (c *sigctxt) sigaddr() uint64 { return c.info.si_addr }

func (c *sigctxt) set_rip(x uint64)     { c.regs().rip = x }
func (c *sigctxt) set_rsp(x uint64)     { c.regs().rsp = x }
func (c *sigctxt) set_sigcode(x uint64) { c.info.si_code = int32(x) }
func (c *sigctxt) set_sigaddr(x uint64) { c.info.si_addr = x }

//go:nosplit

func (c *sigctxt) sigcode() uint64 { return uint64(c.info.si_code) }
func (c *sigctxt) sigaddr() uint64 { return c.info.si_addr }

func (c *sigctxt) set_pc(x uint64)  { c.regs().mc_gpregs.gp_elr = x }
func (c *sigctxt) set_sp(x uint64)  { c.regs().mc_gpregs.gp_sp = x }
func (c *sigctxt) set_lr(x uint64)  { c.regs().mc_gpregs.gp_lr = x }
func (c *sigctxt) set_r28(x uint64) { c.regs().mc_gpregs.gp_x[28] = x }

}

//go:nosplit
//go:nowritebarrierrec
func (c *sigctxt) pc() uint64 { return uint64(c.regs().sc_elr) }

func (c *sigctxt) set_pc(x uint64)  { c.regs().sc_elr = uintptr(x) }
func (c *sigctxt) set_sp(x uint64)  { c.regs().sc_sp = uintptr(x) }
func (c *sigctxt) set_lr(x uint64)  { c.regs().sc_lr = uintptr(x) }
func (c *sigctxt) set_r28(x uint64) { c.regs().sc_x[28] = uintptr(x) }

    return cpu_allocator();
  }
};

void TestBitcastOp(Tensor* input_tensor, DataType out_type,
                   TensorShape expected_shape, error::Code expected_code) {
  Status status;
  NodeDef def;
  def.set_op("Bitcast");
  def.set_device(DEVICE_CPU);

  AttrValue typeAttr;
  SetAttrValue(input_tensor->dtype(), &typeAttr);

  AttrValue outTypeAttr;
  SetAttrValue(out_type, &outTypeAttr);

    absl::Span<const std::string> inputs,
    absl::Span<
        const std::pair<std::string, FunctionDefHelper::AttrValueWrapper>>
        attrs) {
  NodeDef node;
  node.set_name(std::string(name));
  node.set_op(std::string(op));
  for (const auto& input : inputs) node.add_input(input);
  for (const auto& attr : attrs)
    node.mutable_attr()->insert({attr.first, attr.second.proto});
  return node;
}

}  // namespace

}

void TestScalarSummaryOp(Tensor* tags, Tensor* values, string expected_output,
                         error::Code expected_code) {
  // Initialize node used to fetch OpKernel
  Status status;
  NodeDef def;
  def.set_op("ScalarSummary");

  def.set_device(DEVICE_CPU);

  AttrValue valuesTypeAttr;
  SetAttrValue(values->dtype(), &valuesTypeAttr);
  (*def.mutable_attr())["T"] = valuesTypeAttr;

    std::vector<int>* output_permutation, NodeDef* node_def) {
  string old_name = node_def->op();
  string new_name =
      absl::StrCat(xla_cluster_name_, "_", new_function_name_, "_", old_name);
  node_def->set_op(new_name);
  node_def->set_name(new_name);

  // Later we will run PruneForReverseReachability(), so make sure all original
  // nodes are reachable from sink node and won't be removed.

    return control_deps_;
  }
  const std::optional<AttrKeyValuePair>& attr() const { return attr_; }

  void set_name(string name) {
    DCHECK(IsEmpty());
    name_ = std::move(name);
  }

  void set_op(string op) {
    DCHECK(IsEmpty());
    op_ = std::move(op);
  }

  void set_assigned_device(string assigned_device) {
    DCHECK(IsEmpty());
    assigned_device_ = std::move(assigned_device);
  }

    return {"message": "Hello World"}


app.add_api_route("/non_decorated_route", non_decorated_route)


@app.get("/text")
def get_text():
    return "Hello World"


@app.get("/path/{item_id}")
def get_id(item_id):
    return item_id


@app.get("/path/str/{item_id}")
def get_str_id(item_id: str):
    return item_id


@app.get("/path/int/{item_id}")
def get_int_id(item_id: int):
    return item_id

				continue
			}
			// Entry from internal/poll.
			mode := op.mode
			if mode != 'r' && mode != 'w' {
				println("runtime: GetQueuedCompletionStatusEx returned net_op with invalid mode=", mode)
				throw("runtime: netpoll failed")
			}
			delta += netpollready(&toRun, op.pd, mode)
		case netpollSourceBreak:
			netpollWakeSig.Store(0)
			if delay == 0 {