Accepting request 644953 from home:TheBlackCat:branches:devel:languages:python:numeric

- 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 OBS-URL: https://build.opensuse.org/request/show/644953 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numba?expand=0&rev=5
2018-10-26 20:02:59 +00:00 · 2018-10-26 20:02:59 +00:00 · fa72637a9d
commit fa72637a9d
parent 4a228144f6
5 changed files with 127 additions and 54 deletions
--- a/numba-0.39.0-fix-3135.patch
+++ b/numba-0.39.0-fix-3135.patch
@ -1,48 +0,0 @@
-From 99d35798b2e833792624574fd1b31b41bd1f496e Mon Sep 17 00:00:00 2001
-From: Stuart Archibald <stuart.archibald@googlemail.com>
-Date: Thu, 19 Jul 2018 20:38:31 +0100
-Subject: [PATCH] Fix #3135
-
-This fixes #3135 by adding guards to make sure that only line
-numbers in Z^+ are accessed and if no lines are found then they
-are not addressed. Test case from bug report is added.
---
- numba/ir.py                       | 18 ++++++++++++------
- numba/tests/test_errorhandling.py | 16 ++++++++++++++++
- 2 files changed, 28 insertions(+), 6 deletions(-)
-
--- a/numba/ir.py
-+++ b/numba/ir.py
-@@ -63,7 +63,12 @@ class Loc(object):
-                     spaces += 1
-                 return spaces
- 
-            selected = lines[self.line - nlines_up:self.line]
-+            # A few places in the code still use no `loc` or default to line 1
-+            # this is often in places where exceptions are used for the purposes
-+            # of flow control. As a result max is in use to prevent slice from
-+            # `[negative: positive]`
-+            selected = lines[max(0, self.line - nlines_up):self.line]
-+
-             # see if selected contains a definition
-             def_found = False
-             for x in selected:
-@@ -83,12 +88,13 @@ class Loc(object):
-                     spaces = count_spaces(x)
-                     ret.append(' '*(4 + spaces) + '<source elided>\n')
- 
-            ret.extend(selected[:-1])
-            ret.append(_termcolor.highlight(selected[-1]))
-+            if selected:
-+                ret.extend(selected[:-1])
-+                ret.append(_termcolor.highlight(selected[-1]))
- 
-            # point at the problem with a caret
-            spaces = count_spaces(selected[-1])
-            ret.append(' '*(spaces) + _termcolor.indicate("^"))
-+                # point at the problem with a caret
-+                spaces = count_spaces(selected[-1])
-+                ret.append(' '*(spaces) + _termcolor.indicate("^"))
- 
-         # if in the REPL source may not be available
-         if not ret:
--- a/numba-0.39.0.tar.gz
+++ b/numba-0.39.0.tar.gz
@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:07749d1ddac8c4c0ce8b22bf3dec52ef2fd4922174c71447126807f5f8dc2bae
-size 1408098
--- a/numba-0.40.1.tar.gz
+++ b/numba-0.40.1.tar.gz
@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:52d046c13bcf0de79dbfb936874b7228f141b9b8e3447cc35855e9ad3e12aa33
+size 1518126
--- a/python-numba.changes
+++ b/python-numba.changes
@ -1,3 +1,126 @@
+-------------------------------------------------------------------
+Fri Oct 26 19:45:47 UTC 2018 - Todd R <toddrme2178@gmail.com>
+
+- 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
+
 -------------------------------------------------------------------
 Fri Jul 20 13:09:58 UTC 2018 - mcepl@suse.com

--- a/python-numba.spec
+++ b/python-numba.spec
@ -18,14 +18,13 @@

 %{?!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
 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 @@ This package contains files for developing applications using numba.

 %prep
 %setup -q -n numba-%{version}
-%patch0 -p1
 sed -i '1{\@^#!%{_bindir}/env python@d}' numba/appdirs.py

 %build