From 8f97a5c0324dad2da7752b8676f931ff9b582435 Mon Sep 17 00:00:00 2001 From: serge-sans-paille Date: Wed, 19 Nov 2025 10:18:09 +0100 Subject: [PATCH] Don't test float128 when it does not exist in numpy --- pythran/tests/test_conversion.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/pythran/tests/test_conversion.py b/pythran/tests/test_conversion.py index 6aa0a829b76da0f2b36ffd66efd9f8389e666444..76dae7c4ec7693459e4679db35b7cb26575c2cf3 100644 --- a/pythran/tests/test_conversion.py +++ b/pythran/tests/test_conversion.py @@ -257,12 +257,14 @@ def test_builtin_type9(self): def test_simple_meta_types(self): types = (complex, float, int, bool, str, - np.float128, np.float64, np.float32, - np.complex256, np.complex128, np.complex64, + np.float64, np.float32, + np.complex128, np.complex64, np.uint64, np.uint32, np.uint16, np.uint8, np.int64, np.int32, np.int16, np.int8, np.int64, np.int32, np.int16, np.int8, ) + if has_float128: + types += np.float128, np.complex256 for i, ty in enumerate(types): kwargs= {f"simple_meta_types_{i}": [Type[ty]]} self.run_test(f"def simple_meta_types_{i}(obj): return obj()", From 6fb0815667cacb13c146f856666757d53f55fb14 Mon Sep 17 00:00:00 2001 From: Eli Schwartz Date: Sun, 18 Jan 2026 20:07:00 -0500 Subject: [PATCH] mark numpy float128 tests as skippable when numpy lacks float128 support Signed-off-by: Eli Schwartz --- pythran/tests/test_numpy_func2.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/pythran/tests/test_numpy_func2.py b/pythran/tests/test_numpy_func2.py index 2b1f31bef..ce29bb92d 100644 --- a/pythran/tests/test_numpy_func2.py +++ b/pythran/tests/test_numpy_func2.py @@ -5,6 +5,12 @@ from pythran.typing import NDArray, List, Tuple +try: + numpy.float128 + has_float128 = True +except AttributeError: + has_float128 = False + np_version = version.parse(numpy.version.version) @@ -206,6 +212,7 @@ def test_convolve_2(self): numpy.arange(10,dtype=float), np_convolve_2=[NDArray[float,:],NDArray[float,:]]) + @unittest.skipIf(not has_float128, 'not float128') def test_convolve_2b(self): self.run_test("def np_convolve_2b(a,b):\n from numpy import convolve\n return convolve(a,b)", numpy.arange(12,dtype=numpy.float128),