Best Python code snippet using hypothesis
lstar.py
Source: lstar.py
...258 # any of our transitions are wrong.259 while True:260 dfa = self.dfa261 states = [dfa.start]262 def seems_right(n):263 """After reading n characters from s, do we seem to be264 in the right state?265 We determine this by replacing the first n characters266 of s with the label of the state we expect to be in.267 If we are in the right state, that will replace a substring268 with an equivalent one so must produce the same answer.269 """270 if n > len(string):271 return False272 # Populate enough of the states list to know where we are.273 while n >= len(states):274 states.append(dfa.transition(states[-1], string[len(states) - 1]))275 return self.member(dfa.label(states[n]) + string[n:]) == correct_outcome276 assert seems_right(0)277 n = find_integer(seems_right)278 # We got to the end without ever finding ourself in a bad279 # state, so we must correctly match this string.280 if n == len(string):281 assert dfa.matches(string) == correct_outcome282 break283 # Reading n characters does not put us in a bad state but284 # reading n + 1 does. This means that the remainder of285 # the string that we have not read yet is an experiment286 # that allows us to distinguish the state that we ended287 # up in from the state that we should have ended up in.288 source = states[n]289 character = string[n]290 wrong_destination = states[n + 1]...
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