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How to use sort_regions_with_gaps method in hypothesis

Best Python code snippet using hypothesis

ordering.py

Source:ordering.py

...33        assert len(value) == len(self.current)34        assert sorted(value) == sorted(self.current)35    def run_step(self):36        self.sort_regions()37        self.sort_regions_with_gaps()38    def sort_regions(self):39        """Guarantees that for each i we have tried to swap index i with40        index i + 1.41        This uses an adaptive algorithm that works by sorting contiguous42        regions starting from each element.43        """44        i = 045        while i + 1 < len(self.current):46            prefix = list(self.current[:i])47            k = find_integer(48                lambda k: i + k <= len(self.current)49                and self.consider(50                    prefix51                    + sorted(self.current[i : i + k], key=self.key)52                    + list(self.current[i + k :])53                )54            )55            i += k56    def sort_regions_with_gaps(self):57        """Guarantees that for each i we have tried to swap index i with58        index i + 2.59        This uses an adaptive algorithm that works by sorting contiguous60        regions centered on each element, where that element is treated as61        fixed and the elements around it are sorted..62        """63        for i in range(1, len(self.current) - 1):64            if self.current[i - 1] <= self.current[i] <= self.current[i + 1]:65                continue66            def can_sort(a, b):67                if a < 0 or b > len(self.current):68                    return False69                assert a <= i < b70                split = i - a...

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