code: def top_n_sign(a: np.array, **kwargs) -> float:
      """
      Calculates top n element-wise signs of the array.
  
      Parameters
      ----------
      a: np.ndarray
           Numpy array with shape (x,).
      kwargs: optional
              Keyword arguments.
          n: integer
          Number of floating point digits.
  
      Returns
      -------
      float
          Returns the hash values of the resulting array.
      """
      n = kwargs.get("n", 5)
      discretized_arr = np.sign(a)[:n]
      return hash(bytes(discretized_arr))
  
imports: import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: top_n_sign(a) and returns: hash