Package Release Info

python-numba-0.37.0-bp152.3.21

Update Info: Base Release
Available in Package Hub : 15 SP2

platforms

AArch64
ppc64le
s390x
x86-64

subpackages

python2-numba
python2-numba-devel
python3-numba
python3-numba-devel

Change Logs

Version: 0.37.0-bp150.2.3
* Mon Apr 23 2018 toddrme2178@gmail.com
- Fix dependency versions
* Fri Mar 02 2018 arun@gmx.de
- specfile:
  * update required llvmlite version
- update to version 0.37.0:
  * Misc enhancements:
    + PR #2627: Remove hacks to make llvmlite threadsafe
    + PR #2672: Add ascontiguousarray
    + PR #2678: Add Gitter badge
    + PR #2691: Fix #2690: add intrinsic to convert array to tuple
    + PR #2703: Test runner feature: failed-first and last-failed
    + PR #2708: Patch for issue #1907
    + PR #2732: Add support for array.fill
  * Misc Fixes:
    + PR #2610: Fix #2606 lowering of optional.setattr
    + PR #2650: Remove skip for win32 cosine test
    + PR #2668: Fix empty_like from readonly arrays.
    + PR #2682: Fixes 2210, remove _DisableJitWrapper
    + PR #2684: Fix #2340, generator error yielding bool
    + PR #2693: Add travis-ci testing of NumPy 1.14, and also check on
    Python 2.7
    + PR #2694: Avoid type inference failure due to a typing template
    rejection
    + PR #2695: Update llvmlite version dependency.
    + PR #2696: Fix tuple indexing codegeneration for empty tuple
    + PR #2698: Fix #2697 by deferring deletion in the simplify_CFG
    loop.
    + PR #2701: Small fix to avoid tempfiles being created in the
    current directory
    + PR #2725: Fix 2481, LLVM IR parsing error due to mutated IR
    + PR #2726: Fix #2673: incorrect fork error msg.
    + PR #2728: Alternative to #2620.  Remove dead code
    ByteCodeInst.get.
    + PR #2730: Add guard for test needing SciPy/BLAS
  * Documentation updates:
    + PR #2670: Update communication channels
    + PR #2671: Add docs about diagnosing loop vectorizer
    + PR #2683: Add docs on const arg requirements and on const mem
    alloc
    + PR #2722: Add docs on numpy support in cuda
    + PR #2724: Update doc: warning about unsupported arguments
  * ParallelAccelerator enhancements/fixes:
    + Parallel support for `np.arange` and `np.linspace`, also
    `np.mean`, `np.std` and `np.var` are added. This was performed
    as part of a general refactor and cleanup of the core ParallelAccelerator code.
    + PR #2674: Core pa
    + PR #2704: Generate Dels after parfor sequential lowering
    + PR #2716: Handle matching directly supported functions
  * CUDA enhancements:
    + PR #2665: CUDA DeviceNDArray: Support numpy tranpose API
    + PR #2681: Allow Assigning to DeviceNDArrays
    + PR #2702: Make DummyArray do High Dimensional Reshapes
    + PR #2714: Use CFFI to Reuse Code
  * CUDA fixes:
    + PR #2667: Fix CUDA DeviceNDArray slicing
    + PR #2686: Fix #2663: incorrect offset when indexing cuda array.
    + PR #2687: Ensure Constructed Stream Bound
    + PR #2706: Workaround for unexpected warp divergence due to
    exception raising code
    + PR #2707: Fix regression: cuda test submodules not loading
    properly in runtests
    + PR #2731: Use more challenging values in slice tests.
    + PR #2720: A quick testsuite fix to not run the new cuda testcase
    in the multiprocess pool
* Thu Jan 11 2018 toddrme2178@gmail.com
- Bump minimum llvmlite version.
* Thu Dec 21 2017 arun@gmx.de
- update to version 0.36.2:
  * PR #2645: Avoid CPython bug with "exec" in older 2.7.x.
  * PR #2652: Add support for CUDA 9.
* Fri Dec 08 2017 arun@gmx.de
- update to version 0.36.1:
  * ParallelAccelerator features:
    + PR #2457: Stencil Computations in ParallelAccelerator
    + PR #2548: Slice and range fusion, parallelizing bitarray and
    slice assignment
    + PR #2516: Support general reductions in ParallelAccelerator
  * ParallelAccelerator fixes:
    + PR #2540: Fix bug #2537
    + PR #2566: Fix issue #2564.
    + PR #2599: Fix nested multi-dimensional parfor type inference
    issue
    + PR #2604: Fixes for stencil tests and cmath sin().
    + PR #2605: Fixes issue #2603.
  * PR #2568: Update for LLVM 5
  * PR #2607: Fixes abort when getting address to
    "nrt_unresolved_abort"
  * PR #2615: Working towards conda build 3
  * Misc fixes/enhancements:
    + PR #2534: Add tuple support to np.take.
    + PR #2551: Rebranding fix
    + PR #2552: relative doc links
    + PR #2570: Fix issue #2561, handle missing successor on loop exit
    + PR #2588: Fix #2555. Disable libpython.so linking on linux
    + PR #2601: Update llvmlite version dependency.
    + PR #2608: Fix potential cache file collision
    + PR #2612: Fix NRT test failure due to increased overhead when
    running in coverage
    + PR #2619: Fix dubious pthread_cond_signal not in lock
    + PR #2622: Fix `np.nanmedian` for all NaN case.
    + PR #2633: Fix markdown in CONTRIBUTING.md
    + PR #2635: Make the dependency on compilers for AOT optional.
  * CUDA support fixes:
    + PR #2523: Fix invalid cuda context in memory transfer calls in
    another thread
    + PR #2575: Use CPU to initialize xoroshiro states for GPU
    RNG. Fixes #2573
    + PR #2581: Fix cuda gufunc mishandling of scalar arg as array and
    out argument
* Tue Oct 03 2017 arun@gmx.de
- update to version 0.35.0:
  * ParallelAccelerator:
    + PR #2400: Array comprehension
    + PR #2405: Support printing Numpy arrays
    + PR #2438: from Support more np.random functions in
    ParallelAccelerator
    + PR #2482: Support for sum with axis in nopython mode.
    + PR #2487: Adding developer documentation for ParallelAccelerator
    technology.
    + PR #2492: Core PA refactor adds assertions for broadcast
    semantics
  * ParallelAccelerator fixes:
    + PR #2478: Rename cfg before parfor translation (#2477)
    + PR #2479: Fix broken array comprehension tests on unsupported
    platforms
    + PR #2484: Fix array comprehension test on win64
    + PR #2506: Fix for 32-bit machines.
  * Additional features of note:
    + PR #2490: Implement np.take and ndarray.take
    + PR #2493: Display a warning if parallel=True is set but not
    possible.
    + PR #2513: Add np.MachAr, np.finfo, np.iinfo
    + PR #2515: Allow environ overriding of cpu target and cpu
    features.
  * Misc fixes/enhancements:
    + PR #2455: add contextual information to runtime errors
    + PR #2470: Fixes #2458, poor performance in np.median
    + PR #2471: Ensure LLVM threadsafety in {g,}ufunc building.
    + PR #2494: Update doc theme
    + PR #2503: Remove hacky code added in 2482 and feature
    enhancement
    + PR #2505: Serialise env mutation tests during multithreaded
    testing.
    + PR #2520: Fix failing cpu-target override tests
  * CUDA support fixes:
    + PR #2504: Enable CUDA toolkit version testing
    + PR #2509: Disable tests generating code unavailable in lower CC
    versions.
    + PR #2511: Fix Windows 64 bit CUDA tests.
- changes from version 0.34.0:
  * ParallelAccelerator features:
    + PR #2318: Transfer ParallelAccelerator technology to Numba
    + PR #2379: ParallelAccelerator Core Improvements
    + PR #2367: Add support for len(range(...))
    + PR #2369: List comprehension
    + PR #2391: Explicit Parallel Loop Support (prange)
  * CUDA support enhancements:
    + PR #2377: New GPU reduction algorithm
  * CUDA support fixes:
    + PR #2397: Fix #2393, always set alignment of cuda static memory
    regions
  * Misc Fixes:
    + PR #2373, Issue #2372: 32-bit compatibility fix for parfor
    related code
    + PR #2376: Fix #2375 missing stdint.h for py2.7 vc9
    + PR #2378: Fix deadlock in parallel gufunc when kernel acquires
    the GIL.
    + PR #2382: Forbid unsafe casting in bitwise operation
    + PR #2385: docs: fix Sphinx errors
    + PR #2396: Use 64-bit RHS operand for shift
    + PR #2404: Fix threadsafety logic issue in ufunc compilation
    cache.
    + PR #2424: Ensure consistent iteration order of blocks for type
    inference.
    + PR #2425: Guard code to prevent the use of ?parallel? on win32 +
    py27
    + PR #2426: Basic test for Enum member type recovery.
    + PR #2433: Fix up the parfors tests with respect to windows py2.7
    + PR #2442: Skip tests that need BLAS/LAPACK if scipy is not
    available.
    + PR #2444: Add test for invalid array setitem
    + PR #2449: Make the runtime initialiser threadsafe
    + PR #2452: Skip CFG test on 64bit windows
  * Misc Enhancements:
    + PR #2366: Improvements to IR utils
    + PR #2388: Update README.rst to indicate the proper version of
    LLVM
    + PR #2394: Upgrade to llvmlite 0.19.*
    + PR #2395: Update llvmlite version to 0.19
    + PR #2406: Expose environment object to ufuncs
    + PR #2407: Expose environment object to target-context inside
    lowerer
    + PR #2413: Add flags to pass through to conda build for buildbot
    + PR #2414: Add cross compile flags to local recipe
    + PR #2415: A few cleanups for rewrites
    + PR #2418: Add getitem support for Enum classes
    + PR #2419: Add support for returning enums in vectorize
    + PR #2421: Add copyright notice for Intel contributed files.
    + PR #2422: Patch code base to work with np 1.13 release
    + PR #2448: Adds in warning message when using ?parallel? if
    cache=True
    + PR #2450: Add test for keyword arg on .sum-like and .cumsum-like
    array methods
- changes from version 0.33.0:
  * There are also several enhancements to the CUDA GPU support:
    + A GPU random number generator based on xoroshiro128+ algorithm
    is added. See details and examples in documentation.
    + @cuda.jit CUDA kernels can now call @jit and @njit CPU functions
    and they will automatically be compiled as CUDA device
    functions.
    + CUDA IPC memory API is exposed for sharing memory between
    proceses. See usage details in documentation.
  * Reference counting enhancements:
    + PR #2346, Issue #2345, #2248: Add extra refcount pruning after
    inlining
    + PR #2349: Fix refct pruning not removing refct op with tail
    call.
    + PR #2352, Issue #2350: Add refcount pruning pass for function
    that does not need refcount
  * CUDA support enhancements:
    + PR #2023: Supports CUDA IPC for device array
    + PR #2343, Issue #2335: Allow CPU jit decorated function to be
    used as cuda device function
    + PR #2347: Add random number generator support for CUDA device
    code
    + PR #2361: Update autotune table for CC: 5.3, 6.0, 6.1, 6.2
  * Misc fixes:
    + PR #2362: Avoid test failure due to typing to int32 on 32-bit
    platforms
    + PR #2359: Fixed nogil example that threw a TypeError when
    executed.
    + PR #2357, Issue #2356: Fix fragile test that depends on how the
    script is executed.
    + PR #2355: Fix cpu dispatcher referenced as attribute of another
    module
    + PR #2354: Fixes an issue with caching when function needs NRT
    and refcount pruning
    + PR #2342, Issue #2339: Add warnings to inspection when it is
    used on unserialized cached code
    + PR #2329, Issue #2250: Better handling of missing op codes
  * Misc enhancements:
    + PR #2360: Adds missing values in error mesasge interp.
    + PR #2353: Handle when get_host_cpu_features() raises
    RuntimeError
    + PR #2351: Enable SVML for erf/erfc/gamma/lgamma/log2
    + PR #2344: Expose error_model setting in jit decorator
    + PR #2337: Align blocking terminate support for fork() with new
    TBB version
    + PR #2336: Bump llvmlite version to 0.18
    + PR #2330: Core changes in PR #2318
* Wed May 03 2017 toddrme2178@gmail.com
- update to version 0.32.0:
  + Improvements:
  * PR #2322: Suppress test error due to unknown but consistent error with tgamma
  * PR #2320: Update llvmlite dependency to 0.17
  * PR #2308: Add details to error message on why cuda support is disabled.
  * PR #2302: Add os x to travis
  * PR #2294: Disable remove_module on MCJIT due to memory leak inside LLVM
  * PR #2291: Split parallel tests and recycle workers to tame memory usage
  * PR #2253: Remove the pointer-stuffing hack for storing meminfos in lists
  + Fixes:
  * PR #2331: Fix a bug in the GPU array indexing
  * PR #2326: Fix #2321 docs referring to non-existing function.
  * PR #2316: Fixing more race-condition problems
  * PR #2315: Fix #2314.  Relax strict type check to allow optional type.
  * PR #2310: Fix race condition due to concurrent compilation and cache loading
  * PR #2304: Fix intrinsic 1st arg not a typing.Context as stated by the docs.
  * PR #2287: Fix int64 atomic min-max
  * PR #2286: Fix #2285 `@overload_method` not linking dependent libs
  * PR #2303: Missing import statements to interval-example.rst
- Implement single-spec version
* Wed Feb 22 2017 arun@gmx.de
- update to version 0.31.0:
  * Improvements:
    + PR #2281: Update for numpy1.12
    + PR #2278: Add CUDA atomic.{max, min, compare_and_swap}
    + PR #2277: Add about section to conda recipies to identify
    license and other metadata in Anaconda Cloud
    + PR #2271: Adopt itanium C++-style mangling for CPU and CUDA
    targets
    + PR #2267: Add fastmath flags
    + PR #2261: Support dtype.type
    + PR #2249: Changes for llvm3.9
    + PR #2234: Bump llvmlite requirement to 0.16 and add
    install_name_tool_fixer to mviewbuf for OS X
    + PR #2230: Add python3.6 to TravisCi
    + PR #2227: Enable caching for gufunc wrapper
    + PR #2170: Add debugging support
    + PR #2037: inspect_cfg() for easier visualization of the function
    operation
  * Fixes:
    + PR #2274: Fix nvvm ir patch in mishandling ?load?
    + PR #2272: Fix breakage to cuda7.5
    + PR #2269: Fix caching of copy_strides kernel in cuda.reduce
    + PR #2265: Fix #2263: error when linking two modules with dynamic
    globals
    + PR #2252: Fix path separator in test
    + PR #2246: Fix overuse of memory in some system with fork
    + PR #2241: Fix #2240: __module__ in dynamically created function
    not a str
    + PR #2239: Fix fingerprint computation failure preventing
    fallback
* Sun Jan 15 2017 arun@gmx.de
- update to version 0.30.1:
  * Fixes:
    + PR #2232: Fix name clashes with _Py_hashtable_xxx in Python 3.6.
  * Improvements:
    + PR #2217: Add Intel TBB threadpool implementation for parallel
    ufunc.
* Tue Jan 10 2017 arun@gmx.de
- specfile:
  * update copyright year
- update to version 0.30.0:
  * Improvements:
    + PR #2209: Support Python 3.6.
    + PR #2175: Support np.trace(), np.outer() and np.kron().
    + PR #2197: Support np.nanprod().
    + PR #2190: Support caching for ufunc.
    + PR #2186: Add system reporting tool.
  * Fixes:
    + PR #2214, Issue #2212: Fix memory error with ndenumerate and
    flat iterators.
    + PR #2206, Issue #2163: Fix zip() consuming extra elements in
    early exhaustion.
    + PR #2185, Issue #2159, #2169: Fix rewrite pass affecting objmode
    fallback.
    + PR #2204, Issue #2178: Fix annotation for liftedloop.
    + PR #2203: Fix Appveyor segfault with Python 3.5.
    + PR #2202, Issue #2198: Fix target context not initialized when
    loading from ufunc cache.
    + PR #2172, Issue #2171: Fix optional type unpacking.
    + PR #2189, Issue #2188: Disable freezing of big (>1MB) global
    arrays.
    + PR #2180, Issue #2179: Fix invalid variable version in
    looplifting.
    + PR #2156, Issue #2155: Fix divmod, floordiv segfault on CUDA.
* Fri Dec 02 2016 jengelh@inai.de
- remove subjective words from description
* Sat Nov 05 2016 arun@gmx.de
- update to version 0.29.0:
  * Improvements:
    + PR #2130, #2137: Add type-inferred recursion with docs and
    examples.
    + PR #2134: Add np.linalg.matrix_power.
    + PR #2125: Add np.roots.
    + PR #2129: Add np.linalg.{eigvals,eigh,eigvalsh}.
    + PR #2126: Add array-to-array broadcasting.
    + PR #2069: Add hstack and related functions.
    + PR #2128: Allow for vectorizing a jitted function. (thanks to
    @dhirschfeld)
    + PR #2117: Update examples and make them test-able.
    + PR #2127: Refactor interpreter class and its results.
  * Fixes:
    + PR #2149: Workaround MSVC9.0 SP1 fmod bug kb982107.
    + PR #2145, Issue #2009: Fixes kwargs for jitclass __init__
    method.
    + PR #2150: Fix slowdown in objmode fallback.
    + PR #2050, Issue #1258: Fix liveness problem with some generator
    loops.
    + PR #2072, Issue #1995: Right shift of unsigned LHS should be
    logical.
    + PR #2115, Issue #1466: Fix inspect_types() error due to mangled
    variable name.
    + PR #2119, Issue #2118: Fix array type created from record-dtype.
    + PR #2122, Issue #1808: Fix returning a generator due to
    datamodel error.
* Fri Sep 23 2016 toddrme2178@gmail.com
- Initial version