# In library code:
xp2_sparray = xp2.from_binsparse(xp1_sparray, ...)

# Or
xp2_sparray = xp2.asarray(xp1_sparray, ...)

# This psuedocode impl is common between `xp1` and `xp2`
def from_binsparse(x: object, /, *, device: device | None = None, copy: bool | None = None) -> array:
    binsparse_descr = getattr(x, "__binsparse_descriptor__", None)
    binsparse_impl = getattr(x, "__binsparse__", None)
    if binsparse_impl is None or binsparse_descr is None:
        raise TypeError(...)
    
    binsparse_descriptor = binsparse_descr()
    # Will raise an error if the format/descriptor is unsupported.
    sparse_type = _type_from_binsparse_descriptor(binsparse_descriptor)
    constituent_arrays = binsparse_impl()
    my_constituent_arrays = {
        k: from_dlpack(arr, device=device, copy=copy) for k, arr in constituent_arrays.items()
    }
    return sparse_type.from_strided_arrays(my_constituent_arrays, shape=...)

import sparse
import scipy.sparse as sps
import numpy as np

sparse_array = sparse.COO(np.stack(sps_array.coords), sps_array.data, shape=sps_array.shape)