code: def call_const(self, env, ndim):
      if not isinstance(ndim, int):
          raise TypeError("ndim must be an integer")
  
      # Numba convention: for 1D we return a single variable,
      # otherwise a tuple
      if ndim == 1:
          return Data(self._code.format(n="x"), _cuda_types.uint32)
      elif ndim == 2:
          dims = ("x", "y")
      elif ndim == 3:
          dims = ("x", "y", "z")
      else:
          raise ValueError("Only ndim=1,2,3 are supported")
  
      elts_code = ", ".join(self._code.format(n=n) for n in dims)
      ctype = _cuda_types.Tuple([_cuda_types.uint32] * ndim)
      # STD is defined in carray.cuh
      if ndim == 2:
          return Data(f"STD::make_pair({elts_code})", ctype)
      else:
          return Data(f"STD::make_tuple({elts_code})", ctype)
  
imports: from typing import Any, Mapping
  import warnings
  import cupy
  from cupy_backends.cuda.api import runtime
  from cupy.cuda import device
  from cupyx.jit import _cuda_types
  from cupyx.jit import _cuda_typerules
  from cupyx.jit._internal_types import BuiltinFunc
  from cupyx.jit._internal_types import Data
  from cupyx.jit._internal_types import Constant
  from cupyx.jit._internal_types import Range
  from cupyx.jit import _compile
  from functools import reduce
label_desc: Use image node_id 3 for calling the GridFunc obj's underlying member method code with example usage: obj.call_const(env, ndim) and returns: Data, Data, Data