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https://github.com/pydata/xarray/issues/5439#issuecomment-855206219 https://api.github.com/repos/pydata/xarray/issues/5439 855206219 MDEyOklzc3VlQ29tbWVudDg1NTIwNjIxOQ== 30388627 2021-06-05T08:34:52Z 2021-06-05T08:37:11Z NONE

Sorry for this issue. This actually caused by the missing args like input_core_dims, exclude_dims, etc.

Anyway, this one works well: res = xr.apply_ufunc(reduceat_np, dask_data, bins_reduceat[:5], input_core_dims=[['x'], ['new_x']], exclude_dims=set(('x',)), output_core_dims=[['new_x']], dask="parallelized", output_dtypes=[data.dtype], dask_gufunc_kwargs={'allow_rechunk': True}, ) res.compute()

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