code: def dense_matrix_from_pair_dictionary(
      pair_dict, dtype="float32", square_result=False
  ):
      return array_from_pair_dictionary(
          pair_dict,
          array_fn=dense_nan_matrix,
          dtype=dtype,
          square_result=square_result,
      )
  
imports: from collections import defaultdict
  import numpy
  from scipy.sparse import dok_matrix
label_desc: Use image node_id 16 for calling a global function with example usage: dense_matrix_from_pair_dictionary(pair_dict, dtype, square_result) and returns: array_from_pair_dictionary