code: def matched_size_indices(curr_p_idx, curr_n_idx):
      num_pos_pairs = len(curr_p_idx)
      num_neg_pairs = len(curr_n_idx)
      if num_pos_pairs > num_neg_pairs:
          n_idx = repeat_to_match_size(
              curr_n_idx, num_pos_pairs, num_neg_pairs
          )
          p_idx = curr_p_idx
      else:
          p_idx = repeat_to_match_size(
              curr_p_idx, num_neg_pairs, num_pos_pairs
          )
          n_idx = curr_n_idx
      return p_idx, n_idx
  
imports: import math
  import numpy
  import torch
  from .None import common_functions
label_desc: Use image node_id 12 for calling a global function with example usage: matched_size_indices(curr_p_idx, curr_n_idx) and returns: p_idx,  n_idx