Hello community,

here is the log from the commit of package python-numba for openSUSE:Factory 
checked in at 2020-04-28 22:30:33
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-numba (Old)
 and      /work/SRC/openSUSE:Factory/.python-numba.new.2738 (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Package is "python-numba"

Tue Apr 28 22:30:33 2020 rev:25 rq:798393 version:0.49.0

Changes:
--------
--- /work/SRC/openSUSE:Factory/python-numba/python-numba.changes        
2020-04-07 10:32:02.930555449 +0200
+++ /work/SRC/openSUSE:Factory/.python-numba.new.2738/python-numba.changes      
2020-04-28 22:31:48.677691170 +0200
@@ -1,0 +2,30 @@
+Fri Apr 24 14:07:35 UTC 2020 - Marketa Calabkova <mcalabk...@suse.com>
+
+- 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
+
+-------------------------------------------------------------------

Old:
----
  numba-0.48.0.tar.gz

New:
----
  numba-0.49.0.tar.gz

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Other differences:
------------------
++++++ python-numba.spec ++++++
--- /var/tmp/diff_new_pack.mi85Fs/_old  2020-04-28 22:31:50.329694253 +0200
+++ /var/tmp/diff_new_pack.mi85Fs/_new  2020-04-28 22:31:50.333694261 +0200
@@ -27,7 +27,7 @@
 %bcond_with test
 %endif
 Name:           python-numba%{psuffix}
-Version:        0.48.0
+Version:        0.49.0
 Release:        0
 Summary:        NumPy-aware optimizing compiler for Python using LLVM
 License:        BSD-2-Clause
@@ -36,23 +36,8 @@
 Patch0:         skip-failing-tests.patch
 # PATCH-FIX-UPSTREAM fix-max-name-size.patch -- fix for gh#numba/numba#3876 -- 
from gh#numba/numba#4373
 Patch1:         fix-max-name-size.patch
-%if %{with test}
-BuildRequires:  %{python_module Jinja2}
-BuildRequires:  %{python_module PyYAML}
-BuildRequires:  %{python_module Pygments}
-BuildRequires:  %{python_module cffi}
-BuildRequires:  %{python_module devel}
-BuildRequires:  %{python_module ipython}
-BuildRequires:  %{python_module llvmlite >= 0.31}
-BuildRequires:  %{python_module numba >= %{version}}
-BuildRequires:  %{python_module numba-devel >= %{version}}
-BuildRequires:  %{python_module numpy-devel >= 1.11}
-BuildRequires:  %{python_module pytest}
-BuildRequires:  %{python_module scipy >= 0.16}
-BuildRequires:  %{python_module tbb}
-%endif
 BuildRequires:  %{python_module devel}
-BuildRequires:  %{python_module numpy-devel >= 1.11}
+BuildRequires:  %{python_module numpy-devel >= 1.15}
 BuildRequires:  %{python_module setuptools}
 BuildRequires:  fdupes
 BuildRequires:  gcc-c++
@@ -67,6 +52,19 @@
 Recommends:     python-Pygments
 Recommends:     python-cffi
 Recommends:     python-tbb
+%if %{with test}
+BuildRequires:  %{python_module Jinja2}
+BuildRequires:  %{python_module PyYAML}
+BuildRequires:  %{python_module Pygments}
+BuildRequires:  %{python_module cffi}
+BuildRequires:  %{python_module ipython}
+BuildRequires:  %{python_module llvmlite >= 0.31}
+BuildRequires:  %{python_module numba >= %{version}}
+BuildRequires:  %{python_module numba-devel >= %{version}}
+BuildRequires:  %{python_module pytest}
+BuildRequires:  %{python_module scipy >= 0.16}
+BuildRequires:  %{python_module tbb}
+%endif
 %python_subpackages
 
 %description
@@ -113,6 +111,8 @@
 rm numba/tests/test_typedlist.py
 # as we reduced the amount of tests:
 sed -i -e 's:5000:3000:' numba/tests/test_runtests.py
+# unpin llvmlite since it screws up dependencies
+sed -i 's/,<={max_llvmlite_version}//' setup.py
 
 %build
 export CFLAGS="%{optflags} -fPIC"
@@ -147,7 +147,7 @@
 
 %files %{python_files}
 %license LICENSE
-%doc AUTHORS CHANGE_LOG README.rst
+%doc CHANGE_LOG README.rst
 %python_alternative %{_bindir}/numba
 %python_alternative %{_bindir}/pycc
 %{python_sitearch}/numba/

++++++ numba-0.48.0.tar.gz -> numba-0.49.0.tar.gz ++++++
++++ 247870 lines of diff (skipped)

++++++ skip-failing-tests.patch ++++++
--- /var/tmp/diff_new_pack.mi85Fs/_old  2020-04-28 22:31:51.073695640 +0200
+++ /var/tmp/diff_new_pack.mi85Fs/_new  2020-04-28 22:31:51.077695648 +0200
@@ -1,36 +1,43 @@
-Index: numba-0.48.0/numba/tests/test_runtests.py
+Index: numba-0.49.0/numba/tests/test_parfors.py
 ===================================================================
---- numba-0.48.0.orig/numba/tests/test_runtests.py
-+++ numba-0.48.0/numba/tests/test_runtests.py
-@@ -76,8 +76,7 @@ class TestCase(unittest.TestCase):
-     def test_subpackage(self):
-         self.check_testsuite_size(['numba.tests.npyufunc'], 50)
- 
--    @unittest.skipIf(sys.version_info < (3, 4),
--                     "'--random' only supported on Python 3.4 or higher")
-+    @unittest.skip("Somehow doesn't work with the current version of NumPy")
-     def test_random(self):
-         self.check_testsuite_size(
-             ['--random', '0.1', 'numba.tests.npyufunc'], 5)
-Index: numba-0.48.0/numba/tests/test_parfors.py
-===================================================================
---- numba-0.48.0.orig/numba/tests/test_parfors.py
-+++ numba-0.48.0/numba/tests/test_parfors.py
-@@ -544,7 +544,7 @@ class TestParfors(TestParforsBase):
-         self.check(test_impl)
-         self.assertTrue(countParfors(test_impl, ()) == 1)
- 
--    @skip_unsupported
-+    @unittest.skip("This will fail with system llvm and LTO")
-     @tag('important')
-     def test_pi(self):
-         def test_impl(n):
-@@ -1521,7 +1521,7 @@ class TestParfors(TestParforsBase):
+--- 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):
          msg = ("The reshape API may only include one negative argument.")
          self.assertIn(msg, str(raised.exception))
  
--    @skip_unsupported
+-    @skip_parfors_unsupported
 +    @unittest.skip("Fails on type check in OBS")
      def test_ndarray_fill(self):
          def test_impl(x):
              x.fill(7.0)
+@@ -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


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