code: def dfa_replacement(self, chooser, dfa_name):
      """Use one of our previously learned shrinking DFAs to reduce
      the current test case. This works by finding a match of the DFA in the
      current buffer that is not already minimal and attempting to replace it
      with the minimal string matching that DFA.
      """
  
      try:
          dfa = SHRINKING_DFAS[dfa_name]
      except KeyError:
          dfa = self.extra_dfas[dfa_name]
  
      matching_regions = self.matching_regions(dfa)
      minimal = next(dfa.all_matching_strings())
      u, v = chooser.choose(
          matching_regions,
          lambda t: self.buffer[t[0] : t[1]] != minimal,
      )
      p = self.buffer[u:v]
      assert sort_key(minimal) < sort_key(p)
      replaced = self.buffer[:u] + minimal + self.buffer[v:]
  
      assert sort_key(replaced) < sort_key(self.buffer)
  
      self.consider_new_buffer(replaced)
  
imports: from collections import defaultdict
  from typing import TYPE_CHECKING, Callable, Dict, Optional
  import attr
  from hypothesis.internal.compat import int_from_bytes, int_to_bytes
  from hypothesis.internal.conjecture.choicetree import ChoiceTree, prefix_selection_order, random_selection_order
  from hypothesis.internal.conjecture.data import DRAW_FLOAT_LABEL, ConjectureData, ConjectureResult, Status
  from hypothesis.internal.conjecture.dfa import ConcreteDFA
  from hypothesis.internal.conjecture.floats import float_to_lex, lex_to_float
  from hypothesis.internal.conjecture.junkdrawer import binary_search, find_integer, replace_all
  from hypothesis.internal.conjecture.shrinking import Float, Integer, Lexical, Ordering
  from hypothesis.internal.conjecture.shrinking.learned_dfas import SHRINKING_DFAS
label_desc: Use image node_id 5 for calling a global function with example usage: dfa_replacement(chooser, dfa_name) without return types