code: def random_B_matrix(num_states, num_controls):
      if type(num_states) is int:
          num_states = [num_states]
      if type(num_controls) is int:
          num_controls = [num_controls]
      num_factors = len(num_states)
      assert len(num_controls) == len(num_states)
  
      B = obj_array(num_factors)
      for factor in range(num_factors):
          factor_shape = (
              num_states[factor],
              num_states[factor],
              num_controls[factor],
          )
          factor_dist = np.random.rand(*factor_shape)
          B[factor] = norm_dist(factor_dist)
      return B
  
imports: import numpy
  import pandas
  import seaborn
  import matplotlib.pyplot
  import warnings
  import itertools
label_desc: Use image node_id 11 for calling a global function with example usage: random_B_matrix(num_states, num_controls) and returns: B