DistributionNotFound: The 'pynndescent' distribution was not found and is required by the application

Using python 3.8.10 with umap-learn 0.5.0, scanpy 1.8.1, pynndescent 0.5.2+computecanada, numba 0.51.2, llvmlite 0.34.0+computecanada.
And, I am running sc.pp.neighbors() from scanpy module. (on computecanada server)
By the way, I am using Mac os.
And, this is the error I got, below:

DistributionNotFound Traceback (most recent call last)
/tmp/ipykernel_30555/956378397.py in
----> 1 sc.pp.neighbors(aAMLallsc, n_neighbors = 6, n_pcs =3)

~/.local/lib/python3.8/site-packages/scanpy/neighbors/init.py in neighbors(adata, n_neighbors, n_pcs, use_rep, knn, random_state, method, metric, metric_kwds, key_added, copy)
137 adata._init_as_actual(adata.copy())
138 neighbors = Neighbors(adata)
--> 139 neighbors.compute_neighbors(
140 n_neighbors=n_neighbors,
141 knn=knn,

~/.local/lib/python3.8/site-packages/scanpy/neighbors/init.py in compute_neighbors(self, n_neighbors, knn, n_pcs, use_rep, method, random_state, write_knn_indices, metric, metric_kwds)
806 # we need self._distances also for method == 'gauss' if we didn't
807 # use dense distances
--> 808 self._distances, self._connectivities = _compute_connectivities_umap(
809 knn_indices,
810 knn_distances,

~/.local/lib/python3.8/site-packages/scanpy/neighbors/init.py in compute_connectivities_umap(knn_indices, knn_dists, n_obs, n_neighbors, set_op_mix_ratio, local_connectivity)
385 # umap 0.5.0
386 warnings.filterwarnings("ignore", message=r"Tensorflow not installed")
--> 387 from umap.umap import fuzzy_simplicial_set
388
389 X = coo_matrix(([], ([], [])), shape=(n_obs, 1))

~/.local/lib/python3.8/site-packages/umap/init.py in
1 from warnings import warn, catch_warnings, simplefilter
----> 2 from .umap_ import UMAP
3
4 try:
5 with catch_warnings():

~/.local/lib/python3.8/site-packages/umap/umap_.py in
45 )
46
---> 47 from pynndescent import NNDescent
48 from pynndescent.distances import named_distances as pynn_named_distances
49 from pynndescent.sparse import sparse_named_distances as pynn_sparse_named_distances

~/.local/lib/python3.8/site-packages/pynndescent/init.py in
6 numba.config.THREADING_LAYER = "workqueue"
7
----> 8 version = pkg_resources.get_distribution("pynndescent").version

~/jupyter_py3/lib/python3.8/site-packages/pkg_resources/init.py in get_distribution(dist)
480 dist = Requirement.parse(dist)
481 if isinstance(dist, Requirement):
--> 482 dist = get_provider(dist)
483 if not isinstance(dist, Distribution):
484 raise TypeError("Expected string, Requirement, or Distribution", dist)

~/jupyter_py3/lib/python3.8/site-packages/pkg_resources/init.py in get_provider(moduleOrReq)
356 """Return an IResourceProvider for the named module or requirement"""
357 if isinstance(moduleOrReq, Requirement):
--> 358 return working_set.find(moduleOrReq) or require(str(moduleOrReq))[0]
359 try:
360 module = sys.modules[moduleOrReq]

~/jupyter_py3/lib/python3.8/site-packages/pkg_resources/init.py in require(self, *requirements)
899 included, even if they were already activated in this working set.
900 """
--> 901 needed = self.resolve(parse_requirements(requirements))
902
903 for dist in needed:

~/jupyter_py3/lib/python3.8/site-packages/pkg_resources/init.py in resolve(self, requirements, env, installer, replace_conflicting, extras)
785 if dist is None:
786 requirers = required_by.get(req, None)
--> 787 raise DistributionNotFound(req, requirers)
788 to_activate.append(dist)
789 if dist not in req:

DistributionNotFound: The 'pynndescent' distribution was not found and is required by the application

Reproduce the import failure in the stated Python 3.8 environment, then inspect pynndescent/init.py and the installed package metadata involved in pkg_resources.get_distribution. Done means importing pynndescent no longer raises DistributionNotFound when scanpy calls sc.pp.neighbors().