Attempt to solve #600 by fully resolving names, including in cimports

scikit-learn-contrib · Jul 17, 2023 · f75b190 · f75b190
1 parent bdc0e3c
commit f75b190
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Showing 4 changed files with 5 additions and 5 deletions.
diff --git a/hdbscan/_hdbscan_boruvka.pyx b/hdbscan/_hdbscan_boruvka.pyx
@@ -65,8 +65,8 @@ from libc.math cimport fabs, pow
 
 from sklearn.neighbors import KDTree, BallTree
 
-import dist_metrics as dist_metrics
-cimport dist_metrics as dist_metrics
+import hdbscan.dist_metrics as dist_metrics
+cimport hdbscan.dist_metrics as dist_metrics
 
 from joblib import Parallel, delayed
 

diff --git a/hdbscan/_hdbscan_linkage.pyx b/hdbscan/_hdbscan_linkage.pyx
@@ -9,7 +9,7 @@ cimport numpy as np
 
 from libc.float cimport DBL_MAX
 
-from dist_metrics cimport DistanceMetric
+from hdbscan.dist_metrics cimport DistanceMetric
 
 
 cpdef np.ndarray[np.double_t, ndim=2] mst_linkage_core(

diff --git a/hdbscan/_prediction_utils.pyx b/hdbscan/_prediction_utils.pyx
@@ -6,7 +6,7 @@
 import numpy as np
 cimport numpy as np
 
-from dist_metrics cimport DistanceMetric
+from hdbscan.dist_metrics cimport DistanceMetric
 
 from libc.float cimport DBL_MAX
 from libc.math cimport exp

diff --git a/setup.py b/setup.py
@@ -51,7 +51,7 @@ def requirements():
 
 configuration = {
     'name': 'hdbscan',
-    'version': '0.8.30',
+    'version': '0.8.31',
     'description': 'Clustering based on density with variable density clusters',
     'long_description': readme(),
     'classifiers': [