code: def step(self, *, random_order=False):
      tree = self.shrinker.shrink_pass_choice_trees[self]
      if tree.exhausted:
          return False
  
      initial_shrinks = self.shrinker.shrinks
      initial_calls = self.shrinker.calls
      size = len(self.shrinker.shrink_target.buffer)
      self.shrinker.engine.explain_next_call_as(self.name)
  
      if random_order:
          selection_order = random_selection_order(self.shrinker.random)
      else:
          selection_order = prefix_selection_order(self.last_prefix)
  
      try:
          self.last_prefix = tree.step(
              selection_order,
              lambda chooser: self.run_with_chooser(
                  self.shrinker, chooser
              ),
          )
      finally:
          self.calls += self.shrinker.calls - initial_calls
          self.shrinks += self.shrinker.shrinks - initial_shrinks
          self.deletions += size - len(
              self.shrinker.shrink_target.buffer
          )
          self.shrinker.engine.clear_call_explanation()
      return True
  
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 1 for calling the ShrinkPass obj's underlying member method code with example usage: obj.step() and returns: True, False