gh action update

Author: gagolews

.github/workflows/cibuildwheel.yml

@@ -3,9 +3,9 @@ name: wheels
 on: workflow_dispatch
 
 env:
-    CIBW_SKIP: cp2* pp* cp35* cp36*
+    # nmslib does not build on 32bit Windows
+    CIBW_SKIP: cp2* pp* cp35* cp36* cp37-win32 cp38-win32 cp39-win32 cp39-win_amd64
     CIBW_BEFORE_BUILD: pip install -r requirements.txt --upgrade
-    CIBW_ARCHS_WINDOWS: auto64
 
 jobs:
   build_wheels:

devel/pytest/test_approx.py

@@ -128,11 +128,7 @@ def __test_genie_approx(metric='euclidean'):
                 print("")
 
 
-def test_genie_approx():
-    __test_genie_approx('euclidean')
-    __test_genie_approx('manhattan')
-    __test_genie_approx('cosine')
-    __test_genie_approx('maximum')
+
 
 
 def __test_sparse(affinity='euclidean_sparse'):
@@ -147,12 +143,7 @@ def __test_sparse(affinity='euclidean_sparse'):
     genieclust.Genie(affinity=affinity, exact=False).fit(X)
 
 
-def test_sparse():
-    __test_sparse('euclidean_sparse')
-    __test_sparse('manhattan_sparse')
-    __test_sparse('cosine_sparse')
-    __test_sparse('cosine_sparse_fast')
-    __test_sparse('chebyshev_sparse')
+
 
 
 def __test_string(affinity='leven'):
@@ -166,6 +157,21 @@ def __test_string(affinity='leven'):
     genieclust.Genie(affinity=affinity, exact=False, cast_float32=False).fit(X)
 
 
+
+def test_genie_approx():
+    __test_genie_approx('euclidean')
+    __test_genie_approx('manhattan')
+    __test_genie_approx('cosine')
+    __test_genie_approx('maximum')
+
+
+def test_sparse():
+    __test_sparse('euclidean_sparse')
+    __test_sparse('manhattan_sparse')
+    __test_sparse('cosine_sparse')
+    __test_sparse('cosine_sparse_fast')
+    __test_sparse('chebyshev_sparse')
+
 def test_string():
     __test_string('leven')
 

setup.py

@@ -149,7 +149,7 @@ def build_extensions(self):
         "cython",
         "matplotlib",
         "scikit-learn",
-        "nmslib"
+        "nmslib"  # nmslib does not build on 32bit Windows...
       ],
     extras_require={
         "mlpack": ["mlpack"]  # as of 2021-04-22, mlpack is not available for Python 3.9