Fix missed typo

Author: marekhanus

python_bindings/tests/bindings_test.py

@@ -18,13 +18,13 @@ def testRandomSelf(self):
         # Declaring index
         p = hnswlib.Index(space='l2', dim=dim)  # possible options are l2, cosine or ip
 
-        # Initing index
+        # Initiating index
         # max_elements - the maximum number of elements, should be known beforehand
         #     (probably will be made optional in the future)
         #
         # ef_construction - controls index search speed/build speed tradeoff
         # M - is tightly connected with internal dimensionality of the data
-        #     stronlgy affects the memory consumption
+        #     strongly affects the memory consumption
 
         p.init_index(max_elements=num_elements, ef_construction=100, M=16)
 
@@ -51,7 +51,7 @@ def testRandomSelf(self):
         p.save_index(index_path)
         del p
 
-        # Reiniting, loading the index
+        # Re-initiating, loading the index
         p = hnswlib.Index(space='l2', dim=dim)  # you can change the sa
 
         print("\nLoading index from '%s'\n" % index_path)

python_bindings/tests/bindings_test_getdata.py

@@ -25,7 +25,7 @@ def testGettingItems(self):
         #
         # ef_construction - controls index search speed/build speed tradeoff
         # M - is tightly connected with internal dimensionality of the data
-        #     stronlgy affects the memory consumption
+        #     strongly affects the memory consumption
 
         p.init_index(max_elements=num_elements, ef_construction=100, M=16)
 

python_bindings/tests/bindings_test_labels.py

@@ -21,13 +21,13 @@ def testRandomSelf(self):
             # Declaring index
             p = hnswlib.Index(space='l2', dim=dim)  # possible options are l2, cosine or ip
 
-            # Initing index
+            # Initiating index
             # max_elements - the maximum number of elements, should be known beforehand
             #     (probably will be made optional in the future)
             #
             # ef_construction - controls index search speed/build speed tradeoff
             # M - is tightly connected with internal dimensionality of the data
-            #     stronlgy affects the memory consumption
+            #     strongly affects the memory consumption
 
             p.init_index(max_elements=num_elements, ef_construction=100, M=16)