How to use mark_overrun method in hypothesis

Best Python code snippet using hypothesis

data.py

Source:data.py Github

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...836 self.draw_bits(len(string) * 8, forced=int_from_bytes(string))837 return self.buffer[-len(string) :]838 def __check_capacity(self, n):839 if self.index + n > self.max_length:840 self.mark_overrun()841 def conclude_test(self, status, interesting_origin=None):842 assert (interesting_origin is None) or (status == Status.INTERESTING)843 self.__assert_not_frozen("conclude_test")844 self.interesting_origin = interesting_origin845 self.status = status846 self.freeze()847 raise StopTest(self.testcounter)848 def mark_interesting(self, interesting_origin=None):849 self.conclude_test(Status.INTERESTING, interesting_origin)850 def mark_invalid(self):851 self.conclude_test(Status.INVALID)852 def mark_overrun(self):853 self.conclude_test(Status.OVERRUN)854def bits_to_bytes(n):855 """The number of bytes required to represent an n-bit number.856 Equivalent to (n + 7) // 8, but slightly faster. This really is857 called enough times that that matters."""...

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