Hello community, here is the log from the commit of package python-numba for openSUSE:Factory checked in at 2018-10-29 14:22:25 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Comparing /work/SRC/openSUSE:Factory/python-numba (Old) and /work/SRC/openSUSE:Factory/.python-numba.new (New) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "python-numba" Mon Oct 29 14:22:25 2018 rev:14 rq:644977 version:0.40.1 Changes: -------- --- /work/SRC/openSUSE:Factory/python-numba/python-numba.changes 2018-07-28 12:45:34.853009419 +0200 +++ /work/SRC/openSUSE:Factory/.python-numba.new/python-numba.changes 2018-10-29 14:25:31.190213783 +0100 @@ -1,0 +2,128 @@ +Fri Oct 26 21:28:50 UTC 2018 - Jan Engelhardt <[email protected]> + +- Use noun phrase in summary. + +------------------------------------------------------------------- +Fri Oct 26 19:45:47 UTC 2018 - Todd R <[email protected]> + +- Update to Version 0.40.1 + * PR #3338: Accidentally left Anton off contributor list for 0.40.0 + * PR #3374: Disable OpenMP in wheel building + * PR #3376: Update 0.40.1 changelog and docs on OpenMP backend +- Update to Version 0.40.0 + + This release adds a number of major features: + * A new GPU backend: kernels for AMD GPUs can now be compiled using the ROCm + driver on Linux. + * The thread pool implementation used by Numba for automatic multithreading + is configurable to use TBB, OpenMP, or the old "workqueue" implementation. + (TBB is likely to become the preferred default in a future release.) + * New documentation on thread and fork-safety with Numba, along with overall + improvements in thread-safety. + * Experimental support for executing a block of code inside a nopython mode + function in object mode. + * Parallel loops now allow arrays as reduction variables + * CUDA improvements: FMA, faster float64 atomics on supporting hardware, + records in const memory, and improved datatime dtype support + * More NumPy functions: vander, tri, triu, tril, fill_diagonal + + General Enhancements: + * PR #3017: Add facility to support with-contexts + * PR #3033: Add support for multidimensional CFFI arrays + * PR #3122: Add inliner to object mode pipeline + * PR #3127: Support for reductions on arrays. + * PR #3145: Support for np.fill_diagonal + * PR #3151: Keep a queue of references to last N deserialized functions. Fixes #3026 + * PR #3154: Support use of list() if typeable. + * PR #3166: Objmode with-block + * PR #3179: Updates for llvmlite 0.25 + * PR #3181: Support function extension in alias analysis + * PR #3189: Support literal constants in typing of object methods + * PR #3190: Support passing closures as literal values in typing + * PR #3199: Support inferring stencil index as constant in simple unary expressions + * PR #3202: Threading layer backend refactor/rewrite/reinvention! + * PR #3209: Support for np.tri, np.tril and np.triu + * PR #3211: Handle unpacking in building tuple (BUILD_TUPLE_UNPACK opcode) + * PR #3212: Support for np.vander + * PR #3227: Add NumPy 1.15 support + * PR #3272: Add MemInfo_data to runtime._nrt_python.c_helpers + * PR #3273: Refactor. Removing thread-local-storage based context nesting. + * PR #3278: compiler threadsafety lockdown + * PR #3291: Add CPU count and CFS restrictions info to numba -s. + + CUDA Enhancements: + * PR #3152: Use cuda driver api to get best blocksize for best occupancy + * PR #3165: Add FMA intrinsic support + * PR #3172: Use float64 add Atomics, Where Available + * PR #3186: Support Records in CUDA Const Memory + * PR #3191: CUDA: fix log size + * PR #3198: Fix GPU datetime timedelta types usage + * PR #3221: Support datetime/timedelta scalar argument to a CUDA kernel. + * PR #3259: Add DeviceNDArray.view method to reinterpret data as a different type. + * PR #3310: Fix IPC handling of sliced cuda array. + + ROCm Enhancements: + * PR #3023: Support for AMDGCN/ROCm. + * PR #3108: Add ROC info to `numba -s` output. + * PR #3176: Move ROC vectorize init to npyufunc + * PR #3177: Add auto_synchronize support to ROC stream + * PR #3178: Update ROC target documentation. + * PR #3294: Add compiler lock to ROC compilation path. + * PR #3280: Add wavebits property to the HSA Agent. + * PR #3281: Fix ds_permute types and add tests + + Continuous Integration / Testing: + * PR #3091: Remove old recipes, switch to test config based on env var. + * PR #3094: Add higher ULP tolerance for products in complex space. + * PR #3096: Set exit on error in incremental scripts + * PR #3109: Add skip to test needing jinja2 if no jinja2. + * PR #3125: Skip cudasim only tests + * PR #3126: add slack, drop flowdock + * PR #3147: Improve error message for arg type unsupported during typing. + * PR #3128: Fix recipe/build for jetson tx2/ARM + * PR #3167: In build script activate env before installing. + * PR #3180: Add skip to broken test. + * PR #3216: Fix libcuda.so loading in some container setup + * PR #3224: Switch to new Gitter notification webhook URL and encrypt it + * PR #3235: Add 32bit Travis CI jobs + * PR #3257: This adds scipy/ipython back into windows conda test phase. + + Fixes: + * PR #3038: Fix random integer generation to match results from NumPy. + * PR #3045: Fix #3027 - Numba reassigns sys.stdout + * PR #3059: Handler for known LoweringErrors. + * PR #3060: Adjust attribute error for NumPy functions. + * PR #3067: Abort simulator threads on exception in thread block. + * PR #3079: Implement +/-(types.boolean) Fix #2624 + * PR #3080: Compute np.var and np.std correctly for complex types. + * PR #3088: Fix #3066 (array.dtype.type in prange) + * PR #3089: Fix invalid ParallelAccelerator hoisting issue. + * PR #3136: Fix #3135 (lowering error) + * PR #3137: Fix for issue3103 (race condition detection) + * PR #3142: Fix Issue #3139 (parfors reuse of reduction variable across prange blocks) + * PR #3148: Remove dead array equal @infer code + * PR #3153: Fix canonicalize_array_math typing for calls with kw args + * PR #3156: Fixes issue with missing pygments in testing and adds guards. + * PR #3168: Py37 bytes output fix. + * PR #3171: Fix #3146. Fix CFUNCTYPE void* return-type handling + * PR #3193: Fix setitem/getitem resolvers + * PR #3222: Fix #3214. Mishandling of POP_BLOCK in while True loop. + * PR #3230: Fixes liveness analysis issue in looplifting + * PR #3233: Fix return type difference for 32bit ctypes.c_void_p + * PR #3234: Fix types and layout for `np.where`. + * PR #3237: Fix DeprecationWarning about imp module + * PR #3241: Fix #3225. Normalize 0nd array to scalar in typing of indexing code. + * PR #3256: Fix #3251: Move imports of ABCs to collections.abc for Python >= 3.3 + * PR #3292: Fix issue3279. + * PR #3302: Fix error due to mismatching dtype + + Documentation Updates: + * PR #3104: Workaround for #3098 (test_optional_unpack Heisenbug) + * PR #3132: Adds an ~5 minute guide to Numba. + * PR #3194: Fix docs RE: np.random generator fork/thread safety + * PR #3242: Page with Numba talks and tutorial links + * PR #3258: Allow users to choose the type of issue they are reporting. + * PR #3260: Fixed broken link + * PR #3266: Fix cuda pointer ownership problem with user/externally allocated pointer + * PR #3269: Tweak typography with CSS + * PR #3270: Update FAQ for functions passed as arguments + * PR #3274: Update installation instructions + * PR #3275: Note pyobject and voidptr are types in docs + * PR #3288: Do not need to call parallel optimizations "experimental" anymore + * PR #3318: Tweak spacing to avoid search box wrapping onto second line +- Remove upstream-included numba-0.39.0-fix-3135.patch + +------------------------------------------------------------------- Old: ---- numba-0.39.0-fix-3135.patch numba-0.39.0.tar.gz New: ---- numba-0.40.1.tar.gz ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Other differences: ------------------ ++++++ python-numba.spec ++++++ --- /var/tmp/diff_new_pack.9gbRKV/_old 2018-10-29 14:25:31.654192760 +0100 +++ /var/tmp/diff_new_pack.9gbRKV/_new 2018-10-29 14:25:31.654192760 +0100 @@ -12,20 +12,19 @@ # license that conforms to the Open Source Definition (Version 1.9) # published by the Open Source Initiative. -# Please submit bugfixes or comments via http://bugs.opensuse.org/ +# Please submit bugfixes or comments via https://bugs.opensuse.org/ # %{?!python_module:%define python_module() python-%{**} python3-%{**}} Name: python-numba -Version: 0.39.0 +Version: 0.40.1 Release: 0 -Summary: Compiling Python code using LLVM +Summary: NumPy-aware optimizing compiler for Python using LLVM License: BSD-2-Clause Group: Development/Languages/Python URL: http://numba.github.com Source: https://files.pythonhosted.org/packages/source/n/numba/numba-%{version}.tar.gz -Patch0: numba-0.39.0-fix-3135.patch BuildRequires: %{python_module devel} BuildRequires: %{python_module llvmlite >= 0.24} BuildRequires: %{python_module numpy-devel >= 1.10} @@ -77,7 +76,6 @@ %prep %setup -q -n numba-%{version} -%patch0 -p1 sed -i '1{\@^#!%{_bindir}/env python@d}' numba/appdirs.py %build ++++++ numba-0.39.0.tar.gz -> numba-0.40.1.tar.gz ++++++ ++++ 40859 lines of diff (skipped)
