code: def aggregate_mean(scores: np.ndarray):
      """Computes mean of sample mean scores per task.
  
      Args:
        scores: A matrix of size (`num_runs` x `num_tasks`) where scores[n][m]
          represent the score on run `n` of task `m`.
      Returns:
        Mean of sample means.
      """
      mean_task_scores = np.mean(scores, axis=0, keepdims=False)
      return np.mean(mean_task_scores, axis=0)
  
imports: import numpy
  import scipy.stats
label_desc: Use image node_id 1 for calling a global function with example usage: aggregate_mean(scores) and returns: np