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How to use duplicated_block_suffixes method in hypothesis

Best Python code snippet using hypothesis

shrinker.py

Source:shrinker.py

...847                block.index848            )849        return duplicates850    @derived_value851    def duplicated_block_suffixes(self):852        return sorted(self.blocks_by_non_zero_suffix)853    @defines_shrink_pass()854    def minimize_duplicated_blocks(self, chooser):855        """Find blocks that have been duplicated in multiple places and attempt856        to minimize all of the duplicates simultaneously.857        This lets us handle cases where two values can't be shrunk858        independently of each other but can easily be shrunk together.859        For example if we had something like:860        ls = data.draw(lists(integers()))861        y = data.draw(integers())862        assert y not in ls863        Suppose we drew y = 3 and after shrinking we have ls = [3]. If we were864        to replace both 3s with 0, this would be a valid shrink, but if we were865        to replace either 3 with 0 on its own the test would start passing....

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