code: def cartesian(arrays, out=None):
      """Generate a cartesian product of input arrays.
  
      Parameters
      ----------
      arrays : list of array-like
          1-D arrays to form the cartesian product of.
  
      out : ndarray
          Array to place the cartesian product in.
  
      Returns
      -------
      out : ndarray
          2-D array of shape (M, len(arrays)) containing cartesian products
          formed of input arrays.
  
      Examples
      --------
      >>> cartesian(([1, 2, 3], [4, 5], [6, 7]))
      array([[1, 4, 6],
             [1, 4, 7],
             [1, 5, 6],
             [1, 5, 7],
             [2, 4, 6],
             [2, 4, 7],
             [2, 5, 6],
             [2, 5, 7],
             [3, 4, 6],
             [3, 4, 7],
             [3, 5, 6],
             [3, 5, 7]])
  
      """
      arrays = [np.asarray(x) for x in arrays]
      shape = (len(x) for x in arrays)
      dtype = arrays[0].dtype
  
      ix = np.indices(shape)
      ix = ix.reshape(len(arrays), -1).T
  
      if out is None:
          out = np.empty_like(ix, dtype=dtype)
  
      for n, arr in enumerate(arrays):
          out[:, n] = arrays[n][ix[:, n]]
  
      return out
  
file_path: pgmpy/pgmpy/utils/mathext.py
imports: from collections import namedtuple
  from itertools import chain, combinations
  import numpy
  from pgmpy import config
  from pgmpy.global_vars import logger
  from pgmpy.utils import compat_fns
label_desc: Use image node_id 1 for calling a global function with example usage: cartesian(arrays, out) and returns: out