code: def mrg_next_value(rstate, new_rstate, NORM, mask, offset):
      # TODO : need description for method, parameter and return
      x11, x12, x13, x21, x22, x23 = rstate
      assert type(x11) == np.int32
  
      i0, i7, i9, i15, i16, i22, i24 = np_int32_vals
      # first component
      y1 = (
          ((x12 & MASK12) << i22)
          + (x12 >> i9)
          + ((x13 & MASK13) << i7)
          + (x13 >> i24)
      )
  
      assert type(y1) == np.int32
      if y1 < 0 or y1 >= M1:  # must also check overflow
          y1 -= M1
      y1 += x13
      if y1 < 0 or y1 >= M1:
          y1 -= M1
  
      x13 = x12
      x12 = x11
      x11 = y1
  
      # second component
      y1 = ((x21 & MASK2) << i15) + (MULT2 * (x21 >> i16))
      assert type(y1) == np.int32
      if y1 < 0 or y1 >= M2:
          y1 -= M2
      y2 = ((x23 & MASK2) << i15) + (MULT2 * (x23 >> i16))
      assert type(y2) == np.int32
      if y2 < 0 or y2 >= M2:
          y2 -= M2
      y2 += x23
      if y2 < 0 or y2 >= M2:
          y2 -= M2
      y2 += y1
      if y2 < 0 or y2 >= M2:
          y2 -= M2
  
      x23 = x22
      x22 = x21
      x21 = y2
  
      # Must never return either 0 or M1+1
      new_rstate[...] = [x11, x12, x13, x21, x22, x23]
      assert new_rstate.dtype == np.int32
      if x11 <= x21:
          return (((x11 - x21 + M1) & mask) + offset) * NORM
      else:
          return (((x11 - x21) & mask) + offset) * NORM
  
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 5 for calling a global function with example usage: mrg_next_value(rstate, new_rstate, NORM, mask, offset) and returns: unknown, unknown