code: def forward(
      model: Model[InT, OutT], Xs: InT, is_train: bool
  ) -> Tuple[OutT, Callable]:
      # Cast 32-bit (signed) integer to 64-bit unsigned, since such casting
      # is deprecated in NumPy.
      hashes = [
          [c_uint64(hash_unicode(word)).value for word in X] for X in Xs
      ]
      hash_arrays = [
          model.ops.asarray1i(h, dtype="uint64") for h in hashes
      ]
      arrays = [
          model.ops.reshape2i(array, -1, 1) for array in hash_arrays
      ]
  
      def backprop(dX: OutT) -> InT:
          return []
  
      return arrays, backprop
  
imports: from ctypes import c_uint64
  from typing import Callable, List, Sequence, Tuple
  from murmurhash import hash_unicode
  from ..config import registry
  from ..model import Model
  from ..types import Ints2d
label_desc: Use image node_id 2 for calling a global function with example usage: forward(model, Xs, is_train) and returns: arrays,  backprop, list