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There are several failures bubbling up in the Upstream tests they can be grouped like:
pandas reductions (4 failing tests)
FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the reduction.pandas groupby (8 failing tests)
FutureWarning: Dropping invalid columns in DataFrameGroupBy.min is deprecated. In a future version, a TypeError will be raised. Before calling .min, select only columns which should be valid for the function.numpy type promotion (4 failing tests)
FutureWarning: Promotion of numbers and bools to strings is deprecated. In the future, code such as `np.concatenate((['string'], [0]))` will raise an error, while `np.asarray(['string', 0])` will return an array with `dtype=object`. To avoid the warning while retaining a string result use `dtype='U'` (or 'S'). To get an array of Python objects use `dtype=object`. (Warning added in NumPy 1.21)I'm opening a PR now to start fixing these.
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