pool/python-numba
SHA256
4
0
Fork 1
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
python-numba/skip-failing-tests.patch

44 lines
1.9 KiB
Diff
Raw Normal View History

Accepting request 798175 from home:mcalabkova:branches:devel:languages:python:numeric - Update to 0.49.0 * Removal of all Python 2 related code and also updating the minimum supported Python version to 3.6, the minimum supported NumPy version to 1.15 and the minimum supported SciPy version to 1.0. (Stuart Archibald). * Refactoring of the Numba code base. The code is now organised into submodules by functionality. This cleans up Numba's top level namespace. (Stuart Archibald). * Introduction of an ``ir.Del`` free static single assignment form for Numba's intermediate representation (Siu Kwan Lam and Stuart Archibald). * An OpenMP-like thread masking API has been added for use with code using the parallel CPU backends (Aaron Meurer and Stuart Archibald). * For the CUDA target, all kernel launches now require a configuration, this preventing accidental launches of kernels with the old default of a single thread in a single block. The hard-coded autotuner is also now removed, such tuning is deferred to CUDA API calls that provide the same functionality (Graham Markall). * The CUDA target also gained an External Memory Management plugin interface to allow Numba to use another CUDA-aware library for all memory allocations and deallocations (Graham Markall). * The Numba Typed List container gained support for construction from iterables (Valentin Haenel). * Experimental support was added for first-class function types (Pearu Peterson). - Refreshed patch skip-failing-tests.patch * the troublesome tests are skipped upstream on 32-bit - Unpin llvmlite OBS-URL: https://build.opensuse.org/request/show/798175 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numba?expand=0&rev=41
2020-04-27 19:40:16 +00:00
Index: numba-0.49.0/numba/tests/test_parfors.py
- Update to 0.45.1: * Many fixes and changes for llvm/cuda updates See CHANGE_LOG file for details - Update skip-failing-tests.patch to skip one more failing test OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numba?expand=0&rev=16
2019-09-26 11:11:14 +00:00
===================================================================
Accepting request 798175 from home:mcalabkova:branches:devel:languages:python:numeric - Update to 0.49.0 * Removal of all Python 2 related code and also updating the minimum supported Python version to 3.6, the minimum supported NumPy version to 1.15 and the minimum supported SciPy version to 1.0. (Stuart Archibald). * Refactoring of the Numba code base. The code is now organised into submodules by functionality. This cleans up Numba's top level namespace. (Stuart Archibald). * Introduction of an ``ir.Del`` free static single assignment form for Numba's intermediate representation (Siu Kwan Lam and Stuart Archibald). * An OpenMP-like thread masking API has been added for use with code using the parallel CPU backends (Aaron Meurer and Stuart Archibald). * For the CUDA target, all kernel launches now require a configuration, this preventing accidental launches of kernels with the old default of a single thread in a single block. The hard-coded autotuner is also now removed, such tuning is deferred to CUDA API calls that provide the same functionality (Graham Markall). * The CUDA target also gained an External Memory Management plugin interface to allow Numba to use another CUDA-aware library for all memory allocations and deallocations (Graham Markall). * The Numba Typed List container gained support for construction from iterables (Valentin Haenel). * Experimental support was added for first-class function types (Pearu Peterson). - Refreshed patch skip-failing-tests.patch * the troublesome tests are skipped upstream on 32-bit - Unpin llvmlite OBS-URL: https://build.opensuse.org/request/show/798175 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numba?expand=0&rev=41
2020-04-27 19:40:16 +00:00
--- numba-0.49.0.orig/numba/tests/test_parfors.py
+++ numba-0.49.0/numba/tests/test_parfors.py
@@ -1505,7 +1505,7 @@ class TestParfors(TestParforsBase):
- Update to 0.48.0: * Many fixes for llvm/cuda updates; see CHANGE_LOG for details * Drop python2 support - Add one more failing test to skip: * skip-failing-tests.patch OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numba?expand=0&rev=32
2020-02-21 12:35:24 +00:00
msg = ("The reshape API may only include one negative argument.")
self.assertIn(msg, str(raised.exception))
Accepting request 798175 from home:mcalabkova:branches:devel:languages:python:numeric - Update to 0.49.0 * Removal of all Python 2 related code and also updating the minimum supported Python version to 3.6, the minimum supported NumPy version to 1.15 and the minimum supported SciPy version to 1.0. (Stuart Archibald). * Refactoring of the Numba code base. The code is now organised into submodules by functionality. This cleans up Numba's top level namespace. (Stuart Archibald). * Introduction of an ``ir.Del`` free static single assignment form for Numba's intermediate representation (Siu Kwan Lam and Stuart Archibald). * An OpenMP-like thread masking API has been added for use with code using the parallel CPU backends (Aaron Meurer and Stuart Archibald). * For the CUDA target, all kernel launches now require a configuration, this preventing accidental launches of kernels with the old default of a single thread in a single block. The hard-coded autotuner is also now removed, such tuning is deferred to CUDA API calls that provide the same functionality (Graham Markall). * The CUDA target also gained an External Memory Management plugin interface to allow Numba to use another CUDA-aware library for all memory allocations and deallocations (Graham Markall). * The Numba Typed List container gained support for construction from iterables (Valentin Haenel). * Experimental support was added for first-class function types (Pearu Peterson). - Refreshed patch skip-failing-tests.patch * the troublesome tests are skipped upstream on 32-bit - Unpin llvmlite OBS-URL: https://build.opensuse.org/request/show/798175 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numba?expand=0&rev=41
2020-04-27 19:40:16 +00:00
- @skip_parfors_unsupported
- Update to 0.48.0: * Many fixes for llvm/cuda updates; see CHANGE_LOG for details * Drop python2 support - Add one more failing test to skip: * skip-failing-tests.patch OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numba?expand=0&rev=32
2020-02-21 12:35:24 +00:00
+ @unittest.skip("Fails on type check in OBS")
def test_ndarray_fill(self):
def test_impl(x):
x.fill(7.0)
Accepting request 798175 from home:mcalabkova:branches:devel:languages:python:numeric - Update to 0.49.0 * Removal of all Python 2 related code and also updating the minimum supported Python version to 3.6, the minimum supported NumPy version to 1.15 and the minimum supported SciPy version to 1.0. (Stuart Archibald). * Refactoring of the Numba code base. The code is now organised into submodules by functionality. This cleans up Numba's top level namespace. (Stuart Archibald). * Introduction of an ``ir.Del`` free static single assignment form for Numba's intermediate representation (Siu Kwan Lam and Stuart Archibald). * An OpenMP-like thread masking API has been added for use with code using the parallel CPU backends (Aaron Meurer and Stuart Archibald). * For the CUDA target, all kernel launches now require a configuration, this preventing accidental launches of kernels with the old default of a single thread in a single block. The hard-coded autotuner is also now removed, such tuning is deferred to CUDA API calls that provide the same functionality (Graham Markall). * The CUDA target also gained an External Memory Management plugin interface to allow Numba to use another CUDA-aware library for all memory allocations and deallocations (Graham Markall). * The Numba Typed List container gained support for construction from iterables (Valentin Haenel). * Experimental support was added for first-class function types (Pearu Peterson). - Refreshed patch skip-failing-tests.patch * the troublesome tests are skipped upstream on 32-bit - Unpin llvmlite OBS-URL: https://build.opensuse.org/request/show/798175 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numba?expand=0&rev=41
2020-04-27 19:40:16 +00:00
@@ -2541,7 +2541,7 @@ class TestParforsVectorizer(TestPrangeBa
# to check vsqrtpd operates on zmm
match_vsqrtpd_on_zmm = re.compile('\n\s+vsqrtpd\s+.*zmm.*\n')
- @linux_only
+ @unittest.skip("Our x86_64 asm is most probably different from the Travis one.")
def test_vectorizer_fastmath_asm(self):
""" This checks that if fastmath is set and the underlying hardware
is suitable, and the function supplied is amenable to fastmath based
@@ -2584,7 +2584,7 @@ class TestParforsVectorizer(TestPrangeBa
# check no zmm addressing is present
self.assertTrue('zmm' not in v)
- @linux_only
+ @unittest.skip("Our x86_64 asm is most probably different from the Travis one.")
def test_unsigned_refusal_to_vectorize(self):
""" This checks that if fastmath is set and the underlying hardware
is suitable, and the function supplied is amenable to fastmath based
Index: numba-0.49.0/numba/tests/test_parfors_passes.py
===================================================================
--- numba-0.49.0.orig/numba/tests/test_parfors_passes.py
+++ numba-0.49.0/numba/tests/test_parfors_passes.py
@@ -512,6 +512,7 @@ class TestConvertLoopPass(BaseTest):
str(raises.exception),
)
+ @unittest.skip("Fails on type check in OBS")
def test_init_prange(self):
def test_impl():
n = 20
Reference in New Issue Copy Permalink