TST: Fix expected test values when using higher_order (#648)

Co-authored-by: Martin Fleischmann <[email protected]>

momepy/functional/tests/test_diversity.py

@@ -490,7 +490,7 @@ def test_describe_reached_agg(self):
         df_sw = mm.describe_reached_agg(
             self.df_buildings["fl_area"], self.df_buildings["nID"], graph=self.graph_sw
         )
-        expected = {"min": 6, "max": 138, "count": 35, "mean": 67.8}
+        expected = {"min": 6, "max": 138, "count": 35, "mean": 67.82857}
         assert_result(df_sw["count"], expected, self.df_streets, check_names=False)
 
         df_sw_dummy_filtration = mm.describe_reached_agg(
@@ -510,7 +510,7 @@ def test_describe_reached_agg(self):
             q=(10, 90),
             statistics=["count"],
         )
-        filtered_expected = {"min": 4, "max": 110, "count": 35, "mean": 53.4571428}
+        filtered_expected = {"min": 4, "max": 110, "count": 35, "mean": 53.48571}
         assert_result(
             filtered_df["count"], filtered_expected, self.df_streets, check_names=False
         )

momepy/weights.py

@@ -155,7 +155,7 @@ def sw_high(k, gdf=None, weights=None, ids=None, contiguity="queen", silent=True
     if k > 1:
         id_order = first_order.id_order
         w = first_order.sparse
-        wk = sum(w**x for x in range(2, k + 1))
+        wk = sum(w**x for x in range(1, k + 1))
         rk, ck = wk.nonzero()
         sk = set(zip(rk, ck, strict=True))
         sk = {(i, j) for i, j in sk if i != j}