code: def normalize(n):
      n = np.array(n)
      n[n < 0] = 0
      s = np.sum(n)
      if s == 0:
          return np.ones(len(n)) / len(n)
      else:
          return n / s
  
file_path: TextAttack/textattack/search_methods/particle_swarm_optimization.py
imports: import copy
  import numpy
  from textattack.goal_function_results import GoalFunctionResultStatus
  from textattack.search_methods import PopulationBasedSearch, PopulationMember
  from textattack.shared import utils
  from textattack.shared.validators import transformation_consists_of_word_swaps
label_desc: Use image node_id 1 for calling a global function with example usage: normalize(n) and returns: unknown, unknown