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• "numpy.core.numeric._frombuffer",
• "numpy.core.multiarray._reconstruct",
• "pandas.core.arrays.period.PeriodArray",
• "pandas.core.arrays.datetimes.DatetimeArray",
• "builtins.slice",
• "pandas.core.dtypes.dtypes.PeriodDtype",
• "datetime.timedelta",
• "pandas._libs.arrays.__pyx_unpickle_NDArrayBacked",
• "pandas.core.indexes.base.Index",
• "pandas.core.dtypes.dtypes.DatetimeTZDtype",
• "pandas._libs.internals._unpickle_block",
• "numpy.dtype",
• "pandas.core.indexes.base._new_Index",
• "pandas.core.frame.DataFrame",
• "datetime.timezone",
• "pandas.core.indexes.period.PeriodIndex",
• "pandas.core.internals.managers.BlockManager",
• "numpy.ndarray"

How to fix it?

• "numpy.ndarray",
• "pandas.core.indexes.period.PeriodIndex",
• "pandas._libs.arrays.__pyx_unpickle_NDArrayBacked",
• "pandas.core.frame.DataFrame",
• "numpy.dtype",
• "pandas._libs.internals._unpickle_block",
• "pandas.core.dtypes.dtypes.PeriodDtype",
• "pandas.core.indexes.base._new_Index",
• "numpy.core.numeric._frombuffer",
• "builtins.slice",
• "pandas.core.arrays.period.PeriodArray",
• "pandas.core.internals.managers.BlockManager",
• "pandas.core.indexes.base.Index",
• "numpy.core.multiarray._reconstruct"

How to fix it?