scipy.spatial.sKDTree does not have a keyword argument 'n_jobs'

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Minimal code sample (that we can copy&paste without having any data)

sce.pp.mnn_correct(adata_ref_batch0, adata_ref_batch1, adata_ref_batch2, batch_categories = ['batch0', 'batch1', 'batch2'])

![Screenshot 2023-03-05 at 18 18 05](https://user-images.githubusercontent.com/22848603/222991823-36da6d04-44ca-4504-a030-b2b4256bfa9c.png)

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
/tmp/ipykernel_1797574/3779544909.py in <module>
----> 1 sce.pp.mnn_correct(adata_ref_batch0, adata_ref_batch1, adata_ref_batch2, batch_categories = ['batch0', 'batch1', 'batch2'])

/mnt/md0/jin/anaconda3/lib/python3.9/site-packages/scanpy/external/pp/_mnn_correct.py in mnn_correct(var_index, var_subset, batch_key, index_unique, batch_categories, k, sigma, cos_norm_in, cos_norm_out, svd_dim, var_adj, compute_angle, mnn_order, svd_mode, do_concatenate, save_raw, n_jobs, *datas, **kwargs)
    133 
    134     n_jobs = settings.n_jobs if n_jobs is None else n_jobs
--> 135     datas, mnn_list, angle_list = mnn_correct(
    136         *datas,
    137         var_index=var_index,

/mnt/md0/jin/anaconda3/lib/python3.9/site-packages/mnnpy/mnn.py in mnn_correct(var_index, var_subset, batch_key, index_unique, batch_categories, k, sigma, cos_norm_in, cos_norm_out, svd_dim, var_adj, compute_angle, mnn_order, svd_mode, do_concatenate, save_raw, n_jobs, *datas, **kwargs)
    120         if var_subset is not None and set(adata_vars) == set(var_subset):
    121             var_subset = None
--> 122         corrected = mnn_correct(*(adata.X for adata in datas), var_index=adata_vars,
    123                                 var_subset=var_subset, k=k, sigma=sigma, cos_norm_in=cos_norm_in,
    124                                 cos_norm_out=cos_norm_out, svd_dim=svd_dim, var_adj=var_adj,

/mnt/md0/jin/anaconda3/lib/python3.9/site-packages/mnnpy/mnn.py in mnn_correct(var_index, var_subset, batch_key, index_unique, batch_categories, k, sigma, cos_norm_in, cos_norm_out, svd_dim, var_adj, compute_angle, mnn_order, svd_mode, do_concatenate, save_raw, n_jobs, *datas, **kwargs)
    176             new_batch_out = out_batches[target]
    177         print('  Looking for MNNs...')
--> 178         mnn_ref, mnn_new = find_mutual_nn(data1=ref_batch_in, data2=new_batch_in, k1=k, k2=k,
    179                                           n_jobs=n_jobs)
    180         print('  Computing correction vectors...')

_ckdtree.pyx in scipy.spatial._ckdtree.cKDTree.query()

_ckdtree.pyx in scipy.spatial._ckdtree.get_num_workers()

TypeError: Unexpected keyword argument {'n_jobs': 48}
---------------------------------------------------------------------------

Versions

python 3.9

Start with scanpy/external/pp/_mnn_correct.py and the mnnpy/mnn.py call shown in the traceback, then reproduce the provided sce.pp.mnn_correct example with the relevant SciPy version. Check how n_jobs reaches scipy.spatial.sKDTree and identify the compatibility boundary. Done means the example no longer raises this keyword-argument error and regression coverage verifies the supported behavior.