b4daad252d
- 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
44 lines
1.9 KiB
Diff
44 lines
1.9 KiB
Diff
Index: numba-0.49.0/numba/tests/test_parfors.py
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===================================================================
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--- numba-0.49.0.orig/numba/tests/test_parfors.py
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+++ numba-0.49.0/numba/tests/test_parfors.py
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@@ -1505,7 +1505,7 @@ class TestParfors(TestParforsBase):
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msg = ("The reshape API may only include one negative argument.")
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self.assertIn(msg, str(raised.exception))
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- @skip_parfors_unsupported
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+ @unittest.skip("Fails on type check in OBS")
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def test_ndarray_fill(self):
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def test_impl(x):
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x.fill(7.0)
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@@ -2541,7 +2541,7 @@ class TestParforsVectorizer(TestPrangeBa
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# to check vsqrtpd operates on zmm
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match_vsqrtpd_on_zmm = re.compile('\n\s+vsqrtpd\s+.*zmm.*\n')
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- @linux_only
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+ @unittest.skip("Our x86_64 asm is most probably different from the Travis one.")
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def test_vectorizer_fastmath_asm(self):
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""" This checks that if fastmath is set and the underlying hardware
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is suitable, and the function supplied is amenable to fastmath based
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@@ -2584,7 +2584,7 @@ class TestParforsVectorizer(TestPrangeBa
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# check no zmm addressing is present
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self.assertTrue('zmm' not in v)
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- @linux_only
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+ @unittest.skip("Our x86_64 asm is most probably different from the Travis one.")
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def test_unsigned_refusal_to_vectorize(self):
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""" This checks that if fastmath is set and the underlying hardware
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is suitable, and the function supplied is amenable to fastmath based
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Index: numba-0.49.0/numba/tests/test_parfors_passes.py
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===================================================================
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--- numba-0.49.0.orig/numba/tests/test_parfors_passes.py
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+++ numba-0.49.0/numba/tests/test_parfors_passes.py
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@@ -512,6 +512,7 @@ class TestConvertLoopPass(BaseTest):
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str(raises.exception),
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)
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+ @unittest.skip("Fails on type check in OBS")
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def test_init_prange(self):
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def test_impl():
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n = 20
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