markov_text_model.make_sentence_with_start KeyError

KeyError Traceback (most recent call last)
in ()
25 out = markov_text_model.make_sentence_with_start(' '.join(TXT[10:12]), strict=True, min_chars=minimum_number_of_characters_to_generate,
26 tries=number_of_cycles_to_try_to_generate_desired_result,
---> 27 max_overlap_ratio=overlap_ratio)
28 else:
29 out = markov_text_model.make_sentence()

4 frames
/content/tegridy-tools/tegridy-tools/markovify.py in make_sentence_with_start(self, beginning, strict, **kwargs)
516
517 for init_state in init_states:
--> 518 output = self.make_sentence(init_state, **kwargs)
519 if output is not None:
520 return output

/content/tegridy-tools/tegridy-tools/markovify.py in make_sentence(self, init_state, **kwargs)
460
461 for _ in range(tries):
--> 462 words = prefix + self.chain.walk(init_state)
463 if (max_words != None and len(words) > max_words) or (min_words != None and len(words) < min_words):
464 continue # pragma: no cover # see https://github.com/nedbat/coveragepy/issues/198

/content/tegridy-tools/tegridy-tools/markovify.py in walk(self, init_state)
166 (as a tuple).
167 """
--> 168 return list(self.gen(init_state))
169
170 def to_json(self):

/content/tegridy-tools/tegridy-tools/markovify.py in gen(self, init_state)
155 state = init_state or (BEGIN,) * self.state_size
156 while True:
--> 157 next_word = self.move(state)
158 if next_word == END: break
159 yield next_word

/content/tegridy-tools/tegridy-tools/markovify.py in move(self, state)
135 """
136 if self.compiled:
--> 137 choices, cumdist = self.model[state]
138 elif state == tuple([ BEGIN ] * self.state_size):
139 choices = self.begin_choices

KeyError: ('_BEGIN', '田疭畩', '疭疭畩'

Start in markovify.py around move(), gen(), make_sentence(), and make_sentence_with_start(), then reproduce the shown KeyError with the Unicode input and compiled model. Trace why the generated state is absent from the model; done means the reported call no longer raises KeyError and the behavior is covered by a regression check.