Mute tests with unsupported loop for numpy.ldexp

Author: antonwolfy

tests/test_mathematical.py

@@ -1293,6 +1293,13 @@ class TestLdexp:
     @pytest.mark.parametrize("mant_dt", get_float_dtypes())
     @pytest.mark.parametrize("exp_dt", get_integer_dtypes())
     def test_basic(self, mant_dt, exp_dt):
+        if (
+            numpy.lib.NumpyVersion(numpy.__version__) < "2.0.0"
+            and mant_dt == numpy.float32
+            and numpy.dtype("l") != numpy.int64
+        ):
+            pytest.skip("numpy.ldexp doesn't have a loop for the input types")
+
         mant = numpy.array(2.0, dtype=mant_dt)
         exp = numpy.array(3, dtype=exp_dt)
         imant, iexp = dpnp.array(mant), dpnp.array(exp)

tests/test_umath.py

@@ -99,8 +99,18 @@ def test_umaths(test_cases):
     args = get_args(args_str, sh, xp=numpy)
     iargs = get_args(args_str, sh, xp=dpnp)
 
-    if umath == "reciprocal" and args[0].dtype in [numpy.int32, numpy.int64]:
-        pytest.skip("For integer input array, numpy.reciprocal returns zero.")
+    if umath == "reciprocal":
+        if args[0].dtype in [numpy.int32, numpy.int64]:
+            pytest.skip(
+                "For integer input array, numpy.reciprocal returns zero."
+            )
+    elif umath == "ldexp":
+        if (
+            numpy.lib.NumpyVersion(numpy.__version__) < "2.0.0"
+            and args[0].dtype == numpy.float32
+            and numpy.dtype("l") != numpy.int64
+        ):
+            pytest.skip("numpy.ldexp doesn't have a loop for the input types")
 
     # original
     expected = getattr(numpy, umath)(*args)