fix

Author: crusaderky

tests/test_funcs.py

@@ -48,7 +48,7 @@
 lazy_xp_function(sinc, static_argnames="xp")
 
 
-NUMPY_GE2 = int(np.__version__.split(".")[0]) >= 2
+NUMPY_VERSION = tuple(int(v) for v in np.__version__.split(".")[2])
 
 
 class TestApplyWhere:
@@ -224,7 +224,7 @@ def test_hypothesis(  # type: ignore[explicit-any,decorated-any]
     ):
         if (
             library in (Backend.NUMPY, Backend.NUMPY_READONLY)
-            and not NUMPY_GE2
+            and NUMPY_VERSION < (2, 0)
             and dtype is np.float32
         ):
             pytest.xfail(reason="NumPy 1.x dtype promotion for scalars")
@@ -842,7 +842,11 @@ def test_all_equal(self, xp: ModuleType):
     @pytest.mark.xfail_xp_backend(
         Backend.SPARSE, reason="Non-compliant equal_nan=True behaviour"
     )
-    def test_nan(self, xp: ModuleType):
+    def test_nan(self, xp: ModuleType, library: Backend):
+        is_numpy = library in (Backend.NUMPY, Backend.NUMPY_READONLY)
+        if is_numpy and NUMPY_VERSION < (1, 24):
+            pytest.xfail("NumPy <1.24 has no equal_nan kwarg in unique")
+
         # Each NaN is counted separately
         a = xp.asarray([xp.nan, 123.0, xp.nan])
         xp_assert_equal(nunique(a), xp.asarray(3))