code: def generate_moment_function(W, g):
      """
      Generate and returns moment function
      m(W,g) = g(1,W) - g(0,W) for Average Causal Effect
      """
      shape = (W.shape[0], 1)
      ones = np.ones(shape)
      zeros = np.zeros(shape)
      non_treatment_data = W[
          :, 1:
      ]  # assume that treatment is one-dimensional.
      data_0 = np.hstack(
          [zeros, non_treatment_data]
      )  # data with treatment = 1
      data_1 = np.hstack(
          [ones, non_treatment_data]
      )  # data with treatment = 0
      return g(data_1) - g(data_0)
  
label_desc: Use image node_id 2 for calling a global function with example usage: generate_moment_function(W, g) and returns: unknown