diff --git a/tests/python_client/common/common_func.py b/tests/python_client/common/common_func.py
index de060c4d7d..6557979993 100644
--- a/tests/python_client/common/common_func.py
+++ b/tests/python_client/common/common_func.py
@@ -605,20 +605,20 @@ def ip(x, y):
 
 
 def jaccard(x, y):
-    x = np.asarray(x, np.bool)
-    y = np.asarray(y, np.bool)
+    x = np.asarray(x, np.bool_)
+    y = np.asarray(y, np.bool_)
     return 1 - np.double(np.bitwise_and(x, y).sum()) / np.double(np.bitwise_or(x, y).sum())
 
 
 def hamming(x, y):
-    x = np.asarray(x, np.bool)
-    y = np.asarray(y, np.bool)
+    x = np.asarray(x, np.bool_)
+    y = np.asarray(y, np.bool_)
     return np.bitwise_xor(x, y).sum()
 
 
 def tanimoto(x, y):
-    x = np.asarray(x, np.bool)
-    y = np.asarray(y, np.bool)
+    x = np.asarray(x, np.bool_)
+    y = np.asarray(y, np.bool_)
     res = np.double(np.bitwise_and(x, y).sum()) / np.double(np.bitwise_or(x, y).sum())
     if res == 0:
         value = 0
@@ -628,20 +628,20 @@ def tanimoto(x, y):
 
 
 def tanimoto_calc(x, y):
-    x = np.asarray(x, np.bool)
-    y = np.asarray(y, np.bool)
+    x = np.asarray(x, np.bool_)
+    y = np.asarray(y, np.bool_)
     return np.double((len(x) - np.bitwise_xor(x, y).sum())) / (len(y) + np.bitwise_xor(x, y).sum())
 
 
 def substructure(x, y):
-    x = np.asarray(x, np.bool)
-    y = np.asarray(y, np.bool)
+    x = np.asarray(x, np.bool_)
+    y = np.asarray(y, np.bool_)
     return 1 - np.double(np.bitwise_and(x, y).sum()) / np.count_nonzero(y)
 
 
 def superstructure(x, y):
-    x = np.asarray(x, np.bool)
-    y = np.asarray(y, np.bool)
+    x = np.asarray(x, np.bool_)
+    y = np.asarray(y, np.bool_)
     return 1 - np.double(np.bitwise_and(x, y).sum()) / np.count_nonzero(x)
 
 
diff --git a/tests/python_client/testcases/test_search.py b/tests/python_client/testcases/test_search.py
index 86ed9338b1..3f7393c633 100644
--- a/tests/python_client/testcases/test_search.py
+++ b/tests/python_client/testcases/test_search.py
@@ -1918,7 +1918,6 @@ class TestCollectionSearch(TestcaseBase):
         assert abs(res[0].distances[0] - min(distance_0, distance_1)) <= epsilon
 
     @pytest.mark.tags(CaseLabel.L2)
-    @pytest.mark.xfail(reason="issue 6843")
     @pytest.mark.parametrize("index", ["BIN_FLAT", "BIN_IVF_FLAT"])
     def test_search_binary_tanimoto_flat_index(self, nq, dim, auto_id, _async, index, is_flush):
         """