Hello community,

here is the log from the commit of package python-numba for openSUSE:Factory 
checked in at 2019-02-24 17:09:49
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-numba (Old)
 and      /work/SRC/openSUSE:Factory/.python-numba.new.28833 (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Package is "python-numba"

Sun Feb 24 17:09:49 2019 rev:16 rq:668985 version:0.42.0

Changes:
--------
--- /work/SRC/openSUSE:Factory/python-numba/python-numba.changes        
2018-12-03 10:12:32.615589428 +0100
+++ /work/SRC/openSUSE:Factory/.python-numba.new.28833/python-numba.changes     
2019-02-24 17:09:51.320515737 +0100
@@ -1,0 +2,72 @@
+Sat Jan 26 17:06:14 UTC 2019 - Arun Persaud <[email protected]>
+
+- specfile:
+  * update copyright year
+
+- update to version 0.42.0:
+  * In this release the major features are:
+    + The capability to launch and attach the GDB debugger from within
+      a jitted function.
+    + The upgrading of LLVM to version 7.0.0.
+  * We added a draft of the project roadmap to the developer
+    manual. The roadmap is for informational purposes only as
+    priorities and resources may change.
+  * Here are some enhancements from contributed PRs:
+    + #3532. Daniel Wennberg improved the "cuda.{pinned, mapped}" API
+       so that the associated memory is released immediately at the
+       exit of the context manager.
+    + #3531. Dimitri Vorona enabled the inlining of jitclass methods.
+    + #3516. Simon Perkins added the support for passing numpy dtypes
+       (i.e.  "np.dtype("int32")") and their type constructor
+       (i.e. "np.int32") into a jitted function.
+    + #3509. Rob Ennis added support for "np.corrcoef".
+  * A regression issue (#3554, #3461) relating to making an empty
+    slice in parallel mode is resolved by #3558.
+  * General Enhancements:
+    + PR #3392: Launch and attach gdb directly from Numba.
+    + PR #3437: Changes to accommodate LLVM 7.0.x
+    + PR #3509: Support for np.corrcoef
+    + PR #3516: Typeof dtype values
+    + PR #3520: Fix @stencil ignoring cval if out kwarg supplied.
+    + PR #3531: Fix jitclass method inlining and avoid unnecessary
+      increfs
+    + PR #3538: Avoid future C-level assertion error due to invalid
+      visibility
+    + PR #3543: Avoid implementation error being hidden by the
+      try-except
+    + PR #3544: Add `long_running` test flag and feature to exclude
+      tests.
+    + PR #3549: ParallelAccelerator caching improvements
+    + PR #3558: Fixes array analysis for inplace binary operators.
+    + PR #3566: Skip alignment tests on armv7l.
+    + PR #3567: Fix unifying literal types in namedtuple
+    + PR #3576: Add special copy routine for NumPy out arrays
+    + PR #3577: Fix example and docs typos for `objmode` context
+      manager.  reorder statements.
+    + PR #3580: Use alias information when determining whether it is
+      safe to
+    + PR #3583: Use `ir.unknown_loc` for unknown `Loc`, as #3390 with
+      tests
+    + PR #3587: Fix llvm.memset usage changes in llvm7
+    + PR #3596: Fix Array Analysis for Global Namedtuples
+    + PR #3597: Warn users if threading backend init unsafe.
+    + PR #3605: Add guard for writing to read only arrays from ufunc
+      calls
+    + PR #3606: Improve the accuracy of error message wording for
+      undefined type.
+    + PR #3611: gdb test guard needs to ack ptrace permissions
+    + PR #3616: Skip gdb tests on ARM.
+  * CUDA Enhancements:
+    + PR #3532: Unregister temporarily pinned host arrays at once
+    + PR #3552: Handle broadcast arrays correctly in host->device
+      transfer.
+    + PR #3578: Align cuda and cuda simulator kwarg names.
+  * Documentation Updates:
+    + PR #3545: Fix @njit description in 5 min guide
+    + PR #3570: Minor documentation fixes for numba.cuda
+    + PR #3581: Fixing minor typo in `reference/types.rst`
+    + PR #3594: Changing `@stencil` docs to correctly reflect
+      `func_or_mode` param
+    + PR #3617: Draft roadmap as of Dec 2018
+
+-------------------------------------------------------------------

Old:
----
  numba-0.41.0.tar.gz

New:
----
  numba-0.42.0.tar.gz

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

Other differences:
------------------
++++++ python-numba.spec ++++++
--- /var/tmp/diff_new_pack.ROWNQf/_old  2019-02-24 17:09:51.896515555 +0100
+++ /var/tmp/diff_new_pack.ROWNQf/_new  2019-02-24 17:09:51.896515555 +0100
@@ -1,7 +1,7 @@
 #
 # spec file for package python-numba
 #
-# Copyright (c) 2018 SUSE LINUX GmbH, Nuernberg, Germany.
+# Copyright (c) 2019 SUSE LINUX GmbH, Nuernberg, Germany.
 #
 # All modifications and additions to the file contributed by third parties
 # remain the property of their copyright owners, unless otherwise agreed
@@ -18,7 +18,7 @@
 
 %{?!python_module:%define python_module() python-%{**} python3-%{**}}
 Name:           python-numba
-Version:        0.41.0
+Version:        0.42.0
 Release:        0
 Summary:        NumPy-aware optimizing compiler for Python using LLVM
 License:        BSD-2-Clause

++++++ numba-0.41.0.tar.gz -> numba-0.42.0.tar.gz ++++++
++++ 4769 lines of diff (skipped)


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