code: def identify_nonzero_features(scores_info):
      nonzero_features = np.any(scores_info[0]["scores"] != 0, axis=0)
      for example in scores_info[1:]:
          nonzero_features |= np.any(example["scores"] != 0, axis=0)
  
      return np.where(nonzero_features)[0]
  
file_path: translate/pytorch_translate/rescoring/weights_search.py
imports: import argparse
  import pickle
  import numpy
  import torch
  from fairseq.scoring import bleu
  from pytorch_translate import vocab_constants
  from pytorch_translate.data.dictionary import Dictionary
  from pytorch_translate.generate import smoothed_sentence_bleu
label_desc: Use image node_id 3 for calling a global function with example usage: identify_nonzero_features(scores_info) and returns: np