code: def matVecModM(A, s, m):
      # TODO : need description for method, parameter and return
      assert A.dtype == "int64"
      return np.int32(np.sum((A * s) % m, 1) % m)
  
imports: from __future__ import absolute_import, print_function, division
  import warnings
  import numpy
  from six import integer_types, string_types
  from six.moves import xrange
  import theano
  from theano import Op, Apply, shared, config, Variable
  from theano import gradient, function
  from theano.gradient import undefined_grad
  from theano import tensor
  from theano.tensor import TensorType, as_tensor_variable, get_vector_length, cast, opt, scal
  from theano.compile import optdb
  from theano.gof import local_optimizer, ParamsType
  from theano.scalar import bool, int32
  from .None import multinomial
label_desc: Use image node_id 1 for calling a global function with example usage: matVecModM(A, s, m) and returns: np