code: def get_indexes():
      indexes = list(range(nx))
      # so we do not have all items
      indexes.pop(5)
      indexes.pop(95)
  
      indexes = np.array(indexes)
      return indexes
  
file_path: numpy/benchmarks/benchmarks/common.py
imports: import numpy
  import random
  import os
  from functools import lru_cache
  from pathlib import Path
label_desc: Use image node_id 7 for calling a global function with example usage: get_indexes() and returns: indexes