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Mostly due to old Pandas versions: pandas-dev/pandas#41199 pandas-dev/pandas#32056 pandas-dev/pandas#34848 In one instance, also due to Lark using sre_* modules: lark-parser/lark#1140 Those filters could also be set to `ignore` to not show the warnings at all. This sets them to `default`, restoring the previous behavior of showing the warnings but not failing the test run. Perhaps it might make sense to use older Numpy versions for testing the older Pandas versions too?
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