Hello community,
here is the log from the commit of package python-numba for openSUSE:Factory
checked in at 2018-07-13 10:21:26
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/python-numba (Old)
and /work/SRC/openSUSE:Factory/.python-numba.new (New)
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Package is "python-numba"
Fri Jul 13 10:21:26 2018 rev:11 rq:622244 version:0.39.0
Changes:
--------
--- /work/SRC/openSUSE:Factory/python-numba/python-numba.changes
2018-06-25 11:42:53.152408029 +0200
+++ /work/SRC/openSUSE:Factory/.python-numba.new/python-numba.changes
2018-07-13 10:21:29.930466041 +0200
@@ -1,0 +2,91 @@
+Thu Jul 12 03:31:08 UTC 2018 - a...@gmx.de
+
+- update to version 0.39.0:
+ * Here are the highlights for the Numba 0.39.0 release.
+ + This is the first version that supports Python 3.7.
+ + With help from Intel, we have fixed the issues with SVML support
+ (related issues #2938, #2998, #3006).
+ + List has gained support for containing reference-counted types
+ like NumPy arrays and `list`. Note, list still cannot hold
+ heterogeneous types.
+ + We have made a significant change to the internal
+ calling-convention, which should be transparent to most users,
+ to allow for a future feature that will permitting jumping back
+ into python-mode from a nopython-mode function. This also fixes
+ a limitation to `print` that disabled its use from nopython
+ functions that were deep in the call-stack.
+ + For CUDA GPU support, we added a `__cuda_array_interface__`
+ following the NumPy array interface specification to allow Numba
+ to consume externally defined device arrays. We have opened a
+ corresponding pull request to CuPy to test out the concept and
+ be able to use a CuPy GPU array.
+ + The Numba dispatcher `inspect_types()` method now supports the
+ kwarg `pretty` which if set to `True` will produce ANSI/HTML
+ output, showing the annotated types, when invoked from
+ ipython/jupyter-notebook respectively.
+ + The NumPy functions `ndarray.dot`, `np.percentile` and
+ `np.nanpercentile`, and `np.unique` are now supported.
+ + Numba now supports the use of a per-project configuration file
+ to permanently set behaviours typically set via `NUMBA_*` family
+ environment variables.
+ + Support for the `ppc64le` architecture has been added.
+ * Enhancements:
+ + PR #2793: Simplify and remove javascript from html_annotate
+ templates.
+ + PR #2840: Support list of refcounted types
+ + PR #2902: Support for np.unique
+ + PR #2926: Enable fence for all architecture and add developer
+ notes
+ + PR #2928: Making error about untyped list more informative.
+ + PR #2930: Add configuration file and color schemes.
+ + PR #2932: Fix encoding to 'UTF-8' in `check_output` decode.
+ + PR #2938: Python 3.7 compat: _Py_Finalizing becomes
+ _Py_IsFinalizing()
+ + PR #2939: Comprehensive SVML unit test
+ + PR #2946: Add support for `ndarray.dot` method and tests.
+ + PR #2953: percentile and nanpercentile
+ + PR #2957: Add new 3.7 opcode support.
+ + PR #2963: Improve alias analysis to be more comprehensive
+ + PR #2984: Support for namedtuples in array analysis
+ + PR #2986: Fix environment propagation
+ + PR #2990: Improve function call matching for intrinsics
+ + PR #3002: Second pass at error rewrites (interpreter errors).
+ + PR #3004: Add numpy.empty to the list of pure functions.
+ + PR #3008: Augment SVML detection with llvmlite SVML patch
+ detection.
+ + PR #3012: Make use of the common spelling of
+ heterogeneous/homogeneous.
+ + PR #3032: Fix pycc ctypes test due to mismatch in
+ calling-convention
+ + PR #3039: Add SVML detection to Numba environment diagnostic
+ tool.
+ + PR #3041: This adds @needs_blas to tests that use BLAS
+ + PR #3056: Require llvmlite>=0.24.0
+ * CUDA Enhancements:
+ + PR #2860: __cuda_array_interface__
+ + PR #2910: More CUDA intrinsics
+ + PR #2929: Add Flag To Prevent Unneccessary D->H Copies
+ + PR #3037: Add CUDA IPC support on non-peer-accessible devices
+ * CI Enhancements:
+ + PR #3021: Update appveyor config.
+ + PR #3040: Add fault handler to all builds
+ + PR #3042: Add catchsegv
+ + PR #3077: Adds optional number of processes for `-m` in testing
+ * Fixes:
+ + PR #2897: Fix line position of delete statement in numba ir
+ + PR #2905: Fix for #2862
+ + PR #3009: Fix optional type returning in recursive call
+ + PR #3019: workaround and unittest for issue #3016
+ + PR #3035: [TESTING] Attempt delayed removal of Env
+ + PR #3048: [WIP] Fix cuda tests failure on buildfarm
+ + PR #3054: Make test work on 32-bit
+ + PR #3062: Fix cuda.In freeing devary before the kernel launch
+ + PR #3073: Workaround #3072
+ + PR #3076: Avoid ignored exception due to missing globals at
+ interpreter teardown
+ * Documentation Updates:
+ + PR #2966: Fix syntax in env var docs.
+ + PR #2967: Fix typo in CUDA kernel layout example.
+ + PR #2970: Fix docstring copy paste error.
+
+-------------------------------------------------------------------
Old:
----
numba-0.38.1.tar.gz
New:
----
numba-0.39.0.tar.gz
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Other differences:
------------------
++++++ python-numba.spec ++++++
--- /var/tmp/diff_new_pack.ljysjO/_old 2018-07-13 10:21:30.478466697 +0200
+++ /var/tmp/diff_new_pack.ljysjO/_new 2018-07-13 10:21:30.478466697 +0200
@@ -18,7 +18,7 @@
%{?!python_module:%define python_module() python-%{**} python3-%{**}}
Name: python-numba
-Version: 0.38.1
+Version: 0.39.0
Release: 0
Summary: Compiling Python code using LLVM
License: BSD-2-Clause
++++++ numba-0.38.1.tar.gz -> numba-0.39.0.tar.gz ++++++
++++ 9918 lines of diff (skipped)
