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Revisions of python-numba

Todd R's avatar Todd R (TheBlackCat) committed (revision 18)
buildservice-autocommit accepted request 733400 from Tomáš Chvátal's avatar Tomáš Chvátal (scarabeus_iv) (revision 17) 
baserev update by copy to link target
Tomáš Chvátal's avatar Tomáš Chvátal (scarabeus_iv) committed (revision 16) 
- Update to 0.45.1:
  * Many fixes and changes for llvm/cuda updates
    See CHANGE_LOG file for details
- Update skip-failing-tests.patch to skip one more failing test
buildservice-autocommit accepted request 693357 from Matej Cepl's avatar Matej Cepl (mcepl) (revision 15) 
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Matej Cepl's avatar Matej Cepl (mcepl) accepted request 693356 from Matej Cepl's avatar Matej Cepl (mcepl) (revision 14) 
- Update to 0.43.1, which is a bugfix release.
buildservice-autocommit accepted request 686900 from Matej Cepl's avatar Matej Cepl (mcepl) (revision 13) 
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Matej Cepl's avatar Matej Cepl (mcepl) accepted request 686899 from Matej Cepl's avatar Matej Cepl (mcepl) (revision 12) 
- Update to 0.43.0:
  - Initial support for statically typed dictionaries
  - Improvements to `hash()` to match Python 3 behavior
  - Support for the heapq module
  - Ability to pass C structs to Numba
  - More NumPy functions: asarray, trapz, roll, ptp, extract
- Add skip-failing-tests.patch to avoid problems with possibly
  incompatible version of NumPy 1.16.
buildservice-autocommit accepted request 668985 from Tomáš Chvátal's avatar Tomáš Chvátal (scarabeus_iv) (revision 11) 
baserev update by copy to link target
Tomáš Chvátal's avatar Tomáš Chvátal (scarabeus_iv) accepted request 668822 from Arun Persaud's avatar Arun Persaud (apersaud) (revision 10) 
update to latest version
buildservice-autocommit accepted request 653423 from Tomáš Chvátal's avatar Tomáš Chvátal (scarabeus_iv) (revision 9) 
baserev update by copy to link target
Tomáš Chvátal's avatar Tomáš Chvátal (scarabeus_iv) accepted request 653378 from Arun Persaud's avatar Arun Persaud (apersaud) (revision 8) 
update to latest version
buildservice-autocommit accepted request 644977 from Todd R's avatar Todd R (TheBlackCat) (revision 7) 
baserev update by copy to link target
Todd R's avatar Todd R (TheBlackCat) accepted request 644969 from Jan Engelhardt's avatar Jan Engelhardt (jengelh) (revision 6) 
- Use noun phrase in summary.
Todd R's avatar Todd R (TheBlackCat) accepted request 644953 from Todd R's avatar Todd R (TheBlackCat) (revision 5) 
- 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
buildservice-autocommit accepted request 625840 from Todd R's avatar Todd R (TheBlackCat) (revision 4) 
baserev update by copy to link target
Todd R's avatar Todd R (TheBlackCat) accepted request 625839 from Todd R's avatar Todd R (TheBlackCat) (revision 3) 
- Add patch numba-0.39.0-fix-3135.patch to make not fail datashader
  tests. (https://github.com/bokeh/datashader/issues/620)
Todd R's avatar Todd R (TheBlackCat) committed (revision 2) 
converted link to branch
Todd R's avatar Todd R (TheBlackCat) committed (revision 1)
Displaying revisions 81 - 98 of 98
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