code: def gen_data_from_func(fzx, N, dim_z, dim_x):
      """Generates data from the function."""
      Z = np.random.random((N, dim_z))
      X = np.random.random((N, dim_x))
      Y = fzx(Z, X)
      return Z, X, Y
  
imports: from __future__ import division
  from argparse import Namespace
  from copy import deepcopy
  import numpy
  from .None import kernel
  from .unittest_euclidean_gp import fit_se_gp_with_dataset, fit_matern_gp_with_dataset, fit_poly_gp_with_dataset
  from .None import euclidean_gp
  from ..utils.base_test_class import BaseTestClass, execute_tests
  from ..utils.general_utils import compute_average_sq_prediction_error
  from ..utils.option_handler import load_options
label_desc: Use image node_id 3 for calling a global function with example usage: gen_data_from_func(fzx, N, dim_z, dim_x) and returns: Z,  X,  Y