Error when trying to construct an index with NNDescent about pynndescent HOT 7 CLOSED

TypingError                               Traceback (most recent call last)
<ipython-input-10-7175d2ad6206> in <module>
----> 1 sapi.KNN(vg, 30, metric='euclidean')

~/projects/scapi/scapi/grph/__init__.py in KNN(sample, n_neighbors, metric, random_state, use_pca, use_pcs, verbose, metric_kwds)
     98         X = sample.norm.T
     99 
--> 100     knni, knnd = _KNN(X, random_state, n_neighbors, metric=metric, metric_kwds=metric_kwds, verbose=verbose)
    101     sample.cm.knn = knni
    102     sample.cm.knnd = knnd

~/projects/scapi/scapi/grph/__init__.py in _KNN(X, random_state, n_neighbors, metric, metric_kwds, verbose)
     77 
     78 def _KNN(X, random_state, n_neighbors = 20, metric='euclidean', metric_kwds=None, verbose=False):
---> 79     index = NNDescent(X, n_neighbors=n_neighbors, metric=metric, random_state=random_state)
     80     knn_indices, knn_dists = index.query(X, n_neighbors=20)
     81     sample.cm.distances, sample.cm.connectivities = _compute_connectivities_umap(knn_indices, knn_dists, X.shape[0], n_neighbors)

~/.pyenv/versions/3.6.6/Python.framework/Versions/3.6/lib/python3.6/site-packages/pynndescent/pynndescent_.py in __init__(self, data, metric, metric_kwds, n_neighbors, n_trees, leaf_size, pruning_degree_multiplier, diversify_epsilon, n_search_trees, tree_init, random_state, algorithm, low_memory, max_candidates, n_iters, delta, n_jobs, compressed, seed_per_row, verbose)
    977                     leaf_array=leaf_array,
    978                     verbose=verbose,
--> 979                     seed_per_row=seed_per_row,
    980                 )
    981         else:

~/.pyenv/versions/3.6.6/Python.framework/Versions/3.6/lib/python3.6/site-packages/numba/dispatcher.py in _compile_for_args(self, *args, **kws)
    399                 e.patch_message(msg)
    400 
--> 401             error_rewrite(e, 'typing')
    402         except errors.UnsupportedError as e:
    403             # Something unsupported is present in the user code, add help info

~/.pyenv/versions/3.6.6/Python.framework/Versions/3.6/lib/python3.6/site-packages/numba/dispatcher.py in error_rewrite(e, issue_type)
    342                 raise e
    343             else:
--> 344                 reraise(type(e), e, None)
    345 
    346         argtypes = []

~/.pyenv/versions/3.6.6/Python.framework/Versions/3.6/lib/python3.6/site-packages/numba/six.py in reraise(tp, value, tb)
    666             value = tp()
    667         if value.__traceback__ is not tb:
--> 668             raise value.with_traceback(tb)
    669         raise value
    670 

TypingError: Failed in nopython mode pipeline (step: nopython frontend)
Internal error at <numba.typeinfer.CallConstraint object at 0x127361da0>.
Failed in nopython mode pipeline (step: nopython mode backend)
Type of #4 arg mismatch: i1 != i32

File "../../../.pyenv/versions/3.6.6/Python.framework/Versions/3.6/lib/python3.6/site-packages/pynndescent/utils.py", line 138:
def make_heap(n_points, size):
    <source elided>
    """
    result = np.zeros((3, int(n_points), int(size)), dtype=np.float32)
    ^

[1] During: lowering "$0.14 = call $0.2($0.10, func=$0.2, args=[Var($0.10, /Users/gww/.pyenv/versions/3.6.6/Python.framework/Versions/3.6/lib/python3.6/site-packages/pynndescent/utils.py (138))], kws=[('dtype', Var($0.12, /Users/gww/.pyenv/versions/3.6.6/Python.framework/Versions/3.6/lib/python3.6/site-packages/pynndescent/utils.py (138)))], vararg=None)" at /Users/gww/.pyenv/versions/3.6.6/Python.framework/Versions/3.6/lib/python3.6/site-packages/pynndescent/utils.py (138)
[2] During: resolving callee type: type(CPUDispatcher(<function make_heap at 0x1274c5378>))
[3] During: typing of call at /Users/gww/.pyenv/versions/3.6.6/Python.framework/Versions/3.6/lib/python3.6/site-packages/pynndescent/pynndescent_.py (461)

Enable logging at debug level for details.

File "../../../.pyenv/versions/3.6.6/Python.framework/Versions/3.6/lib/python3.6/site-packages/pynndescent/pynndescent_.py", line 461:
def nn_descent(
    <source elided>

    current_graph = make_heap(data.shape[0], n_neighbors)
    ^

This is not usually a problem with Numba itself but instead often caused by
the use of unsupported features or an issue in resolving types.

To see Python/NumPy features supported by the latest release of Numba visit:
http://numba.pydata.org/numba-doc/latest/reference/pysupported.html
and
http://numba.pydata.org/numba-doc/latest/reference/numpysupported.html

For more information about typing errors and how to debug them visit:
http://numba.pydata.org/numba-doc/latest/user/troubleshoot.html#my-code-doesn-t-compile

If you think your code should work with Numba, please report the error message
and traceback, along with a minimal reproducer at:
https://github.com/numba/numba/issues/new