File python-numba.changes of Package python-numba

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File python-numba.changes of Package python-numba (Revision eeaca56a7f6fc3bd8420a2a4594e6a8b)

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Wed May  3 18:23:09 UTC 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

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Wed Feb 22 22:15:53 UTC 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

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Sun Jan 15 00:33:08 UTC 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.

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Tue Jan 10 17:17:33 UTC 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.

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Fri Dec  2 21:07:51 UTC 2016 - jengelh@inai.de

- remove subjective words from description

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Sat Nov  5 17:53:40 UTC 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.

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Fri Sep 23 23:38:02 UTC 2016 - toddrme2178@gmail.com

- Initial version

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File python-numba.changes of Package python-numba (Revision eeaca56a7f6fc3bd8420a2a4594e6a8b)

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