For the fuzz and noise modules, there are occasional failures -- sometimes correct (we failed to change values due to the datatype) and sometimes incorrect (equivalence is issued for arrays or dataframes that have the same VALUES but different value types -- i.e. float / int).
Perhaps there is a better way to test equivalence or we need more robust tests for these cases.
For the fuzz and noise modules, there are occasional failures -- sometimes correct (we failed to change values due to the datatype) and sometimes incorrect (equivalence is issued for arrays or dataframes that have the same VALUES but different value types -- i.e. float / int).
Perhaps there is a better way to test equivalence or we need more robust tests for these cases.