code: def _params_to_errors(h, delta_h, l_skewness_and_kurtosis):
      """Maps parameters to errors on L-skewness and L-kurtosis.
  
      Args:
        h: Value of right parameter of the Tukey HH distribution.
        delta_h: Different between right and left parameter of the Tukey HH
          distribution.
        l_skewness_and_kurtosis: np.array containing the target values of
          L-skewness and L-kurtosis.
  
      Returns:
        An np.array containing the difference between the values of L-skewness and
        L-kurtosis corresponding to the parameters hl = h - delta_h, hr =h and the
        target values.
      """
      dtype = l_skewness_and_kurtosis.dtype
      h_params = np.array([h - delta_h, h], dtype=dtype)
      current_l_skewness_and_kurtosis = np.array(
          _tukey_hh_l_skewness_and_kurtosis(h_params), dtype=dtype
      )
      return current_l_skewness_and_kurtosis - l_skewness_and_kurtosis
  
file_path: transform/tensorflow_transform/gaussianization.py
imports: import numpy
  import tensorflow
label_desc: Use image node_id 4 for calling a global function with example usage: _params_to_errors(h, delta_h, l_skewness_and_kurtosis) and returns: unknown