Accepting request 492720 from devel:languages:python
replaces python3-numba OBS-URL: https://build.opensuse.org/request/show/492720 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-numba?expand=0&rev=1
This commit is contained in:
Dominique Leuenberger
Git OBS Bridge
commit
1abb7c3174
23
.gitattributes
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.gitattributes
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## Default LFS
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.bsp filter=lfs diff=lfs merge=lfs -text
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.gitignore
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.gitignore
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.osc
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numba-0.32.0.tar.gz
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numba-0.32.0.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:f402ad47e2025f498f1303757ef38174a0358ac1a9f33657258671050d6b7683
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size 1177902
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140
python-numba.changes
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python-numba.changes
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-------------------------------------------------------------------
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Wed May 3 18:23:09 UTC 2017 - toddrme2178@gmail.com
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- update to version 0.32.0:
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+ Improvements:
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* PR #2322: Suppress test error due to unknown but consistent error with tgamma
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* PR #2320: Update llvmlite dependency to 0.17
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* PR #2308: Add details to error message on why cuda support is disabled.
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* PR #2302: Add os x to travis
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* PR #2294: Disable remove_module on MCJIT due to memory leak inside LLVM
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* PR #2291: Split parallel tests and recycle workers to tame memory usage
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* PR #2253: Remove the pointer-stuffing hack for storing meminfos in lists
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+ Fixes:
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* PR #2331: Fix a bug in the GPU array indexing
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* PR #2326: Fix #2321 docs referring to non-existing function.
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* PR #2316: Fixing more race-condition problems
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* PR #2315: Fix #2314. Relax strict type check to allow optional type.
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* PR #2310: Fix race condition due to concurrent compilation and cache loading
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* PR #2304: Fix intrinsic 1st arg not a typing.Context as stated by the docs.
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* PR #2287: Fix int64 atomic min-max
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* PR #2286: Fix #2285 `@overload_method` not linking dependent libs
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* PR #2303: Missing import statements to interval-example.rst
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- Implement single-spec version
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-------------------------------------------------------------------
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Wed Feb 22 22:15:53 UTC 2017 - arun@gmx.de
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- update to version 0.31.0:
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* Improvements:
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+ PR #2281: Update for numpy1.12
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+ PR #2278: Add CUDA atomic.{max, min, compare_and_swap}
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+ PR #2277: Add about section to conda recipies to identify
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license and other metadata in Anaconda Cloud
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+ PR #2271: Adopt itanium C++-style mangling for CPU and CUDA
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targets
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+ PR #2267: Add fastmath flags
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+ PR #2261: Support dtype.type
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+ PR #2249: Changes for llvm3.9
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+ PR #2234: Bump llvmlite requirement to 0.16 and add
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install_name_tool_fixer to mviewbuf for OS X
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+ PR #2230: Add python3.6 to TravisCi
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+ PR #2227: Enable caching for gufunc wrapper
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+ PR #2170: Add debugging support
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+ PR #2037: inspect_cfg() for easier visualization of the function
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operation
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* Fixes:
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+ PR #2274: Fix nvvm ir patch in mishandling “load”
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+ PR #2272: Fix breakage to cuda7.5
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+ PR #2269: Fix caching of copy_strides kernel in cuda.reduce
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+ PR #2265: Fix #2263: error when linking two modules with dynamic
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globals
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+ PR #2252: Fix path separator in test
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+ PR #2246: Fix overuse of memory in some system with fork
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+ PR #2241: Fix #2240: __module__ in dynamically created function
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not a str
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+ PR #2239: Fix fingerprint computation failure preventing
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fallback
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-------------------------------------------------------------------
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Sun Jan 15 00:33:08 UTC 2017 - arun@gmx.de
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- update to version 0.30.1:
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* Fixes:
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+ PR #2232: Fix name clashes with _Py_hashtable_xxx in Python 3.6.
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* Improvements:
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+ PR #2217: Add Intel TBB threadpool implementation for parallel
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ufunc.
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-------------------------------------------------------------------
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Tue Jan 10 17:17:33 UTC 2017 - arun@gmx.de
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- specfile:
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* update copyright year
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- update to version 0.30.0:
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* Improvements:
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+ PR #2209: Support Python 3.6.
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+ PR #2175: Support np.trace(), np.outer() and np.kron().
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+ PR #2197: Support np.nanprod().
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+ PR #2190: Support caching for ufunc.
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+ PR #2186: Add system reporting tool.
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* Fixes:
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+ PR #2214, Issue #2212: Fix memory error with ndenumerate and
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flat iterators.
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+ PR #2206, Issue #2163: Fix zip() consuming extra elements in
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early exhaustion.
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+ PR #2185, Issue #2159, #2169: Fix rewrite pass affecting objmode
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fallback.
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+ PR #2204, Issue #2178: Fix annotation for liftedloop.
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+ PR #2203: Fix Appveyor segfault with Python 3.5.
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+ PR #2202, Issue #2198: Fix target context not initialized when
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loading from ufunc cache.
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+ PR #2172, Issue #2171: Fix optional type unpacking.
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+ PR #2189, Issue #2188: Disable freezing of big (>1MB) global
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arrays.
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+ PR #2180, Issue #2179: Fix invalid variable version in
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looplifting.
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+ PR #2156, Issue #2155: Fix divmod, floordiv segfault on CUDA.
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-------------------------------------------------------------------
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Fri Dec 2 21:07:51 UTC 2016 - jengelh@inai.de
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- remove subjective words from description
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-------------------------------------------------------------------
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Sat Nov 5 17:53:40 UTC 2016 - arun@gmx.de
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- update to version 0.29.0:
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* Improvements:
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+ PR #2130, #2137: Add type-inferred recursion with docs and
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examples.
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+ PR #2134: Add np.linalg.matrix_power.
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+ PR #2125: Add np.roots.
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+ PR #2129: Add np.linalg.{eigvals,eigh,eigvalsh}.
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+ PR #2126: Add array-to-array broadcasting.
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+ PR #2069: Add hstack and related functions.
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+ PR #2128: Allow for vectorizing a jitted function. (thanks to
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@dhirschfeld)
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+ PR #2117: Update examples and make them test-able.
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+ PR #2127: Refactor interpreter class and its results.
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* Fixes:
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+ PR #2149: Workaround MSVC9.0 SP1 fmod bug kb982107.
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+ PR #2145, Issue #2009: Fixes kwargs for jitclass __init__
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method.
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+ PR #2150: Fix slowdown in objmode fallback.
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+ PR #2050, Issue #1258: Fix liveness problem with some generator
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loops.
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+ PR #2072, Issue #1995: Right shift of unsigned LHS should be
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logical.
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+ PR #2115, Issue #1466: Fix inspect_types() error due to mangled
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variable name.
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+ PR #2119, Issue #2118: Fix array type created from record-dtype.
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+ PR #2122, Issue #1808: Fix returning a generator due to
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datamodel error.
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-------------------------------------------------------------------
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Fri Sep 23 23:38:02 UTC 2016 - toddrme2178@gmail.com
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- Initial version
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111
python-numba.spec
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python-numba.spec
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#
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# spec file for package python-numba
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#
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# Copyright (c) 2017 SUSE LINUX GmbH, Nuernberg, Germany.
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via http://bugs.opensuse.org/
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#
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%bcond_without tests
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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Name: python-numba
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Version: 0.32.0
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Release: 0
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Summary: Compiling Python code using LLVM
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License: BSD-2-Clause
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Group: Development/Languages/Python
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Url: http://numba.github.com
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Source: https://files.pythonhosted.org/packages/source/n/numba/numba-%{version}.tar.gz
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BuildRequires: gcc-c++
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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BuildRequires: %{python_module devel}
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BuildRequires: %{python_module setuptools}
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BuildRequires: %{python_module llvmlite >= 0.17}
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BuildRequires: %{python_module numpy-devel >= 1.7}
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Requires: python-llvmlite >= 0.17
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Requires: python-numpy >= 1.7
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BuildRoot: %{_tmppath}/%{name}-%{version}-build
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Requires(post): update-alternatives
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Requires(preun): update-alternatives
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%python_subpackages
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%description
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Numba is a NumPy-aware optimizing compiler for Python. It uses the
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LLVM compiler infrastructure to compile Python syntax to
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machine code.
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It is aware of NumPy arrays as typed memory regions and so can speed-up
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code using NumPy arrays. Other, less well-typed code will be translated
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to Python C-API calls, effectively removing the "interpreter", but not removing
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the dynamic indirection.
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Numba is also not a tracing JIT. It *compiles* your code before it gets
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run, either using run-time type information or type information you provide
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in the decorator.
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Numba is a mechanism for producing machine code from Python syntax and typed
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data structures such as those that exist in NumPy.
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%package devel
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Summary: Development files for numba applications
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Group: Development/Libraries/Python
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Requires: %{name} = %{version}
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Requires: python-devel
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Requires: python-numpy-devel >= 1.7
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%description devel
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This package contains files for developing applications using numba.
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%prep
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%setup -q -n numba-%{version}
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sed -i '1{\@^#!/usr/bin/env python@d}' numba/appdirs.py
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%build
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%python_build
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%install
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%python_install
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%python_expand %fdupes %{buildroot}%{$python_sitearch}
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%python_clone -a %{buildroot}%{_bindir}/numba
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%python_clone -a %{buildroot}%{_bindir}/pycc
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%post
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%{python_install_alternative numba pycc}
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%preun
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%python_uninstall_alternative numba
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%files %{python_files}
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%defattr(-,root,root,-)
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%doc AUTHORS CHANGE_LOG LICENSE README.rst
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%python_alternative %{_bindir}/numba
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%python_alternative %{_bindir}/pycc
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%{python_sitearch}/numba/
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%{python_sitearch}/numba-%{version}-py*.egg-info
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%exclude %{python_sitearch}/numba/*.c
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%exclude %{python_sitearch}/numba/*.h
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%exclude %{python_sitearch}/numba/*/*.c
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%exclude %{python_sitearch}/numba/*/*.h
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%files %{python_files devel}
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%defattr(-,root,root)
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%{python_sitearch}/numba/*.c
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%{python_sitearch}/numba/*.h
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%{python_sitearch}/numba/*/*.c
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%{python_sitearch}/numba/*/*.h
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%changelog
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