FAILED pandas/tests/groupby/aggregate/test_aggregate.py::test_agg_multiple_functions_same_name - TypeError: Grouper.__new__() got multiple values for argument 'key'
FAILED pandas/tests/groupby/aggregate/test_aggregate.py::test_agg_multiple_functions_same_name_with_ohlc_present - TypeError: Grouper.__new__() got multiple values for argument 'key'
FAILED pandas/tests/groupby/test_timegrouper.py::TestGroupBy::test_groupby_with_timegrouper - TypeError: Grouper.__new__() got multiple values for argument 'key'

>           result1 = df.resample("5D").sum()

pandas/tests/groupby/test_timegrouper.py:121: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pandas/core/generic.py:9011: in resample
    return get_resampler(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

obj =                     Buyer  Quantity
Date                               
2013-09-01 13:00:00  Carl        18
2013-09-01...l         5
2013-10-03 10:00:00  Carl         1
2013-12-02 12:00:00   Joe         9
2013-09-02 14:00:00  Carl         3
kwds = {'closed': None, 'convention': 'start', 'freq': '5D', 'group_keys': False, ...}

    def get_resampler(obj: Series | DataFrame, **kwds) -> Resampler:
        """
        Create a TimeGrouper and return our resampler.
        """
>       tg = TimeGrouper(obj, **kwds)  # type: ignore[arg-type]
E       TypeError: Grouper.__new__() got multiple values for argument 'key'

pandas/core/resample.py:1864: TypeError