python3-numpy_1_14_0-gnu-hpc-devel-1.14.0-lp150.3.3.1<>,(\gy/=„vIL@yL"[Q 8$FOv uHY98ErUSpQiBHA5e $; ) Ы$!O锔ʣ@>\CW!FOXN)ZM0TX-YBS˭Jj3ї@1Rcpa>;u?ud%, 8 a -3<  4   O  p   " \  ( D (8<9<:w<FmGmHnInXnYn\n]o\^qBbsBcsdtetftltutvu zu]uputuzuCpython3-numpy_1_14_0-gnu-hpc-devel1.14.0lp150.3.3.1Development files for numpy applicationsThis package contains files for developing applications using numpy.\gysheep83uopenSUSE Leap 15.0openSUSEBSD-3-Clausehttp://bugs.opensuse.orgDevelopment/Libraries/Pythonhttp://www.numpy.org/linuxx86_64k-E V*//  oHX710tJC A큤\gV\gWY\gVZGZGZLZLZLZLZGZLZLZLZLZGZLZGYZLZGZLZLY\gYZN%6ZLZN%6\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-numpy_1_14_0-gnu-hpc-1.14.0-lp150.3.3.1.src.rpmpython3-numpy_1_14_0-gnu-hpc-develpython3-numpy_1_14_0-gnu-hpc-devel(x86-64)    libopenblas-gnu-hpc-develpython3-develpython3-numpy_1_14_0-gnu-hpcrpmlib(CompressedFileNames)rpmlib(FileDigests)rpmlib(PayloadFilesHavePrefix)rpmlib(PayloadIsXz)1.14.03.0.4-14.6.0-14.0-15.2-14.14.1\X)@Z}@ZyZaZV@ZOhZ @Z7Y@YY{Yχ@Y@Y\Y6@X-XXXX~@X43@W֘WίWWW@VVV@VV@TPT[bT @S@SKRjRrF@QQ^Q?Q5@P.2@Ọ@OȮOȮO.@O9O~OD@O@O@NNyM<@LLKPXKMKKIܑMatej Cepl cgoll@suse.comeich@suse.comro@suse.deadrian@suse.deeich@suse.comeich@suse.comeich@suse.comeich@suse.comeich@suse.comeich@suse.comarun@gmx.dehsk17@mail.deschwab@suse.demanfred99@gmx.chtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comdmueller@suse.comjweberhofer@weberhofer.atdmueller@suse.comtoddrme2178@gmail.comstecue@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comarun@gmx.demls@suse.detoddrme2178@gmail.comtoddrme2178@gmail.comidonmez@suse.comhighwaystar.ru@gmail.comdmueller@suse.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comkukuk@suse.detoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comidonmez@suse.combadshah400@gmail.combehrisch@users.sf.netsaschpe@suse.detoddrme2178@gmail.comcoolo@novell.combg@novell.comaeszter@gwdg.delars@linux-schulserver.decoolo@novell.commatejcik@suse.cz- bsc#1122208 add CVE-2019-6446_numpy_load.patch fixing gh#numpy/numpy#12759 numpy.load() has functionality which allows loading pickle with potentially insecure code.- Fix summary in module files (bnc#1080259)- The HPC of python-numpy expects openBLAS. OpenBLAS is not availble for sc390: disable buidling on s390 for HPC (bsc#1079513).- add s390 to the ifarch conditional to build without openblas- update to version 1.14.0 Changes documented in release notes: https://github.com/numpy/numpy/blob/master/doc/release/1.14.0-notes.rst- Switch from gcc6 to gcc7 as additional compiler flavor for HPC on SLES. - Fix library package requires - use HPC macro (boo#1074890).- Add 'family "NumPy"' to modules file to avoid that different versions of this get loaded.- Add Requires for libopenblas to base package. - Add Requires for lua-lmod - Fix '-' in environment variable mane of modulefile.- Fix Requires: of devel package for openblas.- Add magic to limit the number of flavors built in the OBS ring to non-HPC builds.- Convert to multibuild: Add support for HPC environment modules (FATE#321709).- updated line numbers in patches - update to version 1.13.3: * #9390 BUG: Return the poly1d coefficients array directly * #9555 BUG: Fix regression in 1.13.x in distutils.mingw32ccompiler. * #9556 BUG: Fix true_divide when dtype=np.float64 specified. * #9557 DOC: Fix some rst markup in numpy/doc/basics.py. * #9558 BLD: Remove -xhost flag from IntelFCompiler. * #9559 DOC: Removes broken docstring example (source code, png, pdf)... * #9580 BUG: Add hypot and cabs functions to WIN32 blacklist. * #9732 BUG: Make scalar function elision check if temp is writeable. * #9736 BUG: Various fixes to np.gradient * #9742 BUG: Fix np.pad for CVE-2017-12852 (bsc#1053963) * #9744 BUG: Check for exception in sort functions, add tests * #9745 DOC: Add whitespace after "versionadded::" directive so it actually... * #9746 BUG: Memory leak in np.dot of size 0 * #9747 BUG: Adjust gfortran version search regex * #9757 BUG: Cython 0.27 breaks NumPy on Python 3. * #9764 BUG: Ensure _npy_scaled_cexp{,f,l} is defined when needed. * #9765 BUG: PyArray_CountNonzero does not check for exceptions * #9766 BUG: Fixes histogram monotonicity check for unsigned bin values * #9767 BUG: Ensure consistent result dtype of count_nonzero * #9771 BUG: MAINT: Fix mtrand for Cython 0.27. * #9772 DOC: Create the 1.13.2 release notes. * #9794 DOC: Create 1.13.3 release notes. - changes from version 1.13.2: * #9390 BUG: Return the poly1d coefficients array directly * #9555 BUG: Fix regression in 1.13.x in distutils.mingw32ccompiler. * #9556 BUG: Fix true_divide when dtype=np.float64 specified. * #9557 DOC: Fix some rst markup in numpy/doc/basics.py. * #9558 BLD: Remove -xhost flag from IntelFCompiler. * #9559 DOC: Removes broken docstring example (source code, png, pdf)... * #9580 BUG: Add hypot and cabs functions to WIN32 blacklist. * #9732 BUG: Make scalar function elision check if temp is writeable. * #9736 BUG: Various fixes to np.gradient * #9742 BUG: Fix np.pad for CVE-2017-12852 (bsc#1053963) * #9744 BUG: Check for exception in sort functions, add tests * #9745 DOC: Add whitespace after "versionadded::" directive so it actually... * #9746 BUG: Memory leak in np.dot of size 0 * #9747 BUG: Adjust gfortran version search regex * #9757 BUG: Cython 0.27 breaks NumPy on Python 3. * #9764 BUG: Ensure _npy_scaled_cexp{,f,l} is defined when needed. * #9765 BUG: PyArray_CountNonzero does not check for exceptions * #9766 BUG: Fixes histogram monotonicity check for unsigned bin values * #9767 BUG: Ensure consistent result dtype of count_nonzero * #9771 BUG, MAINT: Fix mtrand for Cython 0.27.- Update to version 1.13.1 * bugfix release for problems found in 1.13.0; major changes: + fixes for the new memory overlap detection and temporary elision + reversion of the removal of the boolean binary - operator * 1.13.0 Highlights: + Operations like a + b + c will reuse temporaries on some platforms + Inplace operations check if inputs overlap outputs and create temporaries + New __array_ufunc__ attribute provides improved ability for classes to override default ufunc behavior. + New np.block function for creating blocked arrays. * 1.13.0 New functions: + New np.positive ufunc. + New np.divmod ufunc provides more efficient divmod. + New np.isnat ufunc tests for NaT special values. + New np.heaviside ufunc computes the Heaviside function. + New np.isin function, improves on in1d. + New np.block function for creating blocked arrays. + New PyArray_MapIterArrayCopyIfOverlap added to NumPy C-API. * deprecations, compatibility notes, etc see full changelog at https://github.com/numpy/numpy/blob/master/doc/changelog/1.13.0-changelog.rst - dropped xlocale.patch (now upstream) - do not apply 'sed 1d' command to exec_command.py- Add xlocale.patch: xlocale.h: don't use obsolete - allow building numpy on fedora by making fdupes dependency optional- Update to version 1.12.1 * Fix wrong future nat warning and equiv type logic error... * Fix wrong masked median for some special cases * Place np.average in inline code * Work around isfinite inconsistency on i386 * Guard against replacing constants without '_' spec in f2py. * Fix mean for float 16 non-array inputs for 1.12 * Fix calling python api with error set and minor leaks for... * Make iscomplexobj compatible with custom dtypes again * Fix undefined behaviour induced by bad __array_wrap__ * Fix MaskedArray.__setitem__ * PPC64el machines are POWER for Fortran in f2py * Look up methods on MaskedArray in `_frommethod` * Remove extra digit in binary_repr at limit * Fix deepcopy regression for empty arrays. * Fix ma.median for empty ndarrays - Further updates to macro usage.- Fix macro usage.- Fix -devel package dependency- Switch to single-spec version- update to version 1.12.0: * Highlights + Order of operations in np.einsum can now be optimized for large speed improvements. + New signature argument to np.vectorize for vectorizing with core dimensions. + The keepdims argument was added to many functions. + New context manager for testing warnings + Support for BLIS in numpy.distutils + Much improved support for PyPy (not yet finished) * full changelog at: https://github.com/numpy/numpy/blob/master/doc/release/1.12.0-notes.rst - changes from version 1.11.3: * #8341: BUG: Fix ndarray.tofile large file corruption in append mode. * #8346: TST: Fix tests in PR #8341 for NumPy 1.11.x - update to version 1.11.2: * #7736 BUG: Many functions silently drop 'keepdims' kwarg. * #7738 ENH: Add extra kwargs and update doc of many MA methods. * #7778 DOC: Update Numpy 1.11.1 release notes. * #7793 BUG: MaskedArray.count treats negative axes incorrectly. * #7816 BUG: Fix array too big error for wide dtypes. * #7821 BUG: Make sure npy_mul_with_overflow_ detects overflow. * #7824 MAINT: Allocate fewer bytes for empty arrays. * #7847 MAINT,DOC: Fix some imp module uses and update f2py.compile docstring. * #7849 MAINT: Fix remaining uses of deprecated Python imp module. * #7851 BLD: Fix ATLAS version detection. * #7896 BUG: Construct ma.array from np.array which contains padding. * #7904 BUG: Fix float16 type not being called due to wrong ordering. * #7917 BUG: Production install of numpy should not require nose. * #7919 BLD: Fixed MKL detection for recent versions of this library. * #7920 BUG: Fix for issue #7835 (ma.median of 1d). * #7932 BUG: Monkey-patch _msvccompile.gen_lib_option like other compilers. * #7939 BUG: Check for HAVE_LDOUBLE_DOUBLE_DOUBLE_LE in npy_math_complex. * #7953 BUG: Guard against buggy comparisons in generic quicksort. * #7954 BUG: Use keyword arguments to initialize Extension base class. * #7955 BUG: Make sure numpy globals keep identity after reload. * #7972 BUG: MSVCCompiler grows 'lib' & 'include' env strings exponentially. * #8005 BLD: Remove __NUMPY_SETUP__ from builtins at end of setup.py. * #8010 MAINT: Remove leftover imp module imports. * #8020 BUG: Fix return of np.ma.count if keepdims is True and axis is None. * #8024 BUG: Fix numpy.ma.median. * #8031 BUG: Fix np.ma.median with only one non-masked value. * #8044 BUG: Fix bug in NpyIter buffering with discontinuous arrays. - update copyright year - changed from tar.gz to zip on pypi - Remove long-unused atlas support. - Use preferrered pypi.io download url. - Add openBLAS support. This can improve performance in many situations. - Remove numpy-1.10.4-cblas.patch since openblas handles this.- Fix cblas handling for SLES 12.- use pypi.io as Source URL- Don't include cblas-devel on SLES 12- update to 1.11.1: - #7506 BUG: Make sure numpy imports on python 2.6 when nose is unavailable. - #7530 BUG: Floating exception with invalid axis in np.lexsort. - #7535 BUG: Extend glibc complex trig functions blacklist to glibc < 2.18. - #7551 BUG: Allow graceful recovery for no compiler. - #7558 BUG: Constant padding expected wrong type in constant_values. - #7578 BUG: Fix OverflowError in Python 3.x. in swig interface. - #7590 BLD: Fix configparser.InterpolationSyntaxError. - #7597 BUG: Make np.ma.take work on scalars. - #7608 BUG: linalg.norm(): Don't convert object arrays to float. - #7638 BLD: Correct C compiler customization in system_info.py. - #7654 BUG: ma.median of 1d array should return a scalar. - #7656 BLD: Remove hardcoded Intel compiler flag -xSSE4.2. - #7660 BUG: Temporary fix for str(mvoid) for object field types. - #7665 BUG: Fix incorrect printing of 1D masked arrays. - #7670 BUG: Correct initial index estimate in histogram. - #7671 BUG: Boolean assignment no GIL release when transfer needs API. - #7676 BUG: Fix handling of right edge of final histogram bin. - #7680 BUG: Fix np.clip bug NaN handling for Visual Studio 2015. - #7724 BUG: Fix segfaults in np.random.shuffle. - #7731 MAINT: Change mkl_info.dir_env_var from MKL to MKLROOT.specfile: * require setuptools - update to version 1.11.0: * Highlights + The datetime64 type is now timezone naive. + A dtype parameter has been added to randint. + Improved detection of two arrays possibly sharing memory. + Automatic bin size estimation for np.histogram. + Speed optimization of A @ A.T and dot(A, A.T). + New function np.moveaxis for reordering array axes. * full changelog at https://github.com/numpy/numpy/blob/master/doc/release/1.11.0-notes.rst- Add numpy-1.10.4-cblas.patch to build against system cblas. Numpy assumes either libblas.so or libcblas.so to contain all CBLAS and BLAS functions. However the cblas-devel in Leap and Tumbleweed contains only the CBLAS interface and libblas.so is also needed.- update to version 1.10.4: * see https://github.com/numpy/numpy/blob/master/doc/release/1.10.4-notes.rst * There is no 1.10.3 due to packaging issues. - update to version 1.10.2: * see https://github.com/numpy/numpy/blob/master/doc/release/1.10.2-notes.rst- Update to 1.10.1 + Bugfix for build problems * Compiling with msvc9 or msvc10 for 32 bit Windows now requires SSE2. This was the easiest fix for what looked to be some miscompiled code when SSE2 was not used. If you need to compile for 32 bit Windows systems without SSE2 support, mingw32 should still work. * Make compiling with VS2008 python2.7 SDK easier * Change Intel compiler options so that code will also be generated to support systems without SSE4.2. * Some _config test functions needed an explicit integer return in order to avoid the openSUSE rpmlinter erring out. * We ran into a problem with pipy not allowing reuse of filenames and a resulting proliferation of *.*.*.postN releases. Not only were the names getting out of hand, some packages were unable to work with the postN suffix. - Remove upstream-included numpy-1.10.0-remove_Wreturn_type_warnings.patch- Update to version 1.10.0 + Highlights * numpy.distutils now supports parallel compilation via the --parallel/-j argument passed to setup.py build * numpy.distutils now supports additional customization via site.cfg to control compilation parameters, i.e. runtime libraries, extra linking/compilation flags. * Addition of *np.linalg.multi_dot*: compute the dot product of two or more arrays in a single function call, while automatically selecting the fastest evaluation order. * The new function `np.stack` provides a general interface for joining a sequence of arrays along a new axis, complementing `np.concatenate` for joining along an existing axis. * Addition of `nanprod` to the set of nanfunctions. * Support for the '@' operator in Python 3.5. + Dropped Support: * The _dotblas module has been removed. CBLAS Support is now in Multiarray. * The testcalcs.py file has been removed. * The polytemplate.py file has been removed. * npy_PyFile_Dup and npy_PyFile_DupClose have been removed from npy_3kcompat.h. * splitcmdline has been removed from numpy/distutils/exec_command.py. * try_run and get_output have been removed from numpy/distutils/command/config.py * The a._format attribute is no longer supported for array printing. * Keywords ``skiprows`` and ``missing`` removed from np.genfromtxt. * Keyword ``old_behavior`` removed from np.correlate. + Future Changes: * In array comparisons like ``arr1 == arr2``, many corner cases involving strings or structured dtypes that used to return scalars now issue ``FutureWarning`` or ``DeprecationWarning``, and in the future will be change to either perform elementwise comparisons or raise an error. * The SafeEval class will be removed. * The alterdot and restoredot functions will be removed. - Rebase numpy-1.9.0-remove-__declspec.patch - Add numpy-1.10.0-remove_Wreturn_type_warnings.patch This patch is already merged upstream and should be present in numpy-1.10.1- update to version 1.9.3: * #5866: fix error finding Python headers when build_ext --include-dirs is set; * #6016: fix np.loadtxt error on Python 3.5 when reading from gzip files; * #5555: Replace deprecated options for ifort; * #6096: remove /GL for VS2015 in check_long_double_representation; * #6141: enable Visual Studio 2015 C99 features; * #6171: revert C99 complex for MSVC14.- Update to 1.9.2: Bugfix release * #5316: fix too large dtype alignment of strings and complex types * #5424: fix ma.median when used on ndarrays * #5481: Fix astype for structured array fields of different byte order * #5354: fix segfault when clipping complex arrays * #5524: allow np.argpartition on non ndarrays * #5612: Fixes ndarray.fill to accept full range of uint64 * #5155: Fix loadtxt with comments=None and a string None data * #4476: Masked array view fails if structured dtype has datetime component * #5388: Make RandomState.set_state and RandomState.get_state threadsafe * #5390: make seed, randint and shuffle threadsafe * #5374: Fixed incorrect assert_array_almost_equal_nulp documentation * #5393: Add support for ATLAS > 3.9.33. * #5313: PyArray_AsCArray caused segfault for 3d arrays * #5492: handle out of memory in rfftf * #4181: fix a few bugs in the random.pareto docstring * #5359: minor changes to linspace docstring * #4723: fix a compile issues on AIX- Update to 1.9.1: Bugfix release * gh-5184: restore linear edge behaviour of gradient to as it was in < 1.9. The second order behaviour is available via the `edge_order` keyword * gh-4007: workaround Accelerate sgemv crash on OSX 10.9 * gh-5100: restore object dtype inference from iterable objects without `len()` * gh-5163: avoid gcc-4.1.2 (red hat 5) miscompilation causing a crash * gh-5138: fix nanmedian on arrays containing inf * gh-5203: copy inherited masks in MaskedArray.__array_finalize__ * gh-2317: genfromtxt did not handle filling_values=0 correctly * gh-5067: restore api of npy_PyFile_DupClose in python2 * gh-5063: cannot convert invalid sequence index to tuple * gh-5082: Segmentation fault with argmin() on unicode arrays * gh-5095: don't propagate subtypes from np.where * gh-5104: np.inner segfaults with SciPy's sparse matrices * gh-5136: Import dummy_threading if importing threading fails * gh-5148: Make numpy import when run with Python flag '-OO' * gh-5147: Einsum double contraction in particular order causes ValueError * gh-479: Make f2py work with intent(in out) * gh-5170: Make python2 .npy files readable in python3 * gh-5027: Use 'll' as the default length specifier for long long * gh-4896: fix build error with MSVC 2013 caused by C99 complex support * gh-4465: Make PyArray_PutTo respect writeable flag * gh-5225: fix crash when using arange on datetime without dtype set * gh-5231: fix build in c99 mode- Update to 1.9.0 Highlights * Numerous performance improvements in various areas, most notably indexing and operations on small arrays are significantly faster. Indexing operations now also release the GIL. * Addition of nanmedian and nanpercentile rounds out the nanfunction set. - Remove upstreamed numpy-double-double-le.patch - Add numpy-1.9.0-remove-__declspec.patch Fixes spurious warnings during build. These warnings are related to a windows-specific function that is not built, so the patch just removed the function. See: http://lists.opensuse.org/opensuse-packaging/2014-09/msg00004.html - Added patch tag for numpy-buildfix.patch- Update to 1.8.2: Bugfix release * gh-4836: partition produces wrong results for multiple selections in equal ranges * gh-4656: Make fftpack._raw_fft threadsafe * gh-4628: incorrect argument order to _copyto in in np.nanmax, np.nanmin * gh-4642: Hold GIL for converting dtypes types with fields * gh-4733: fix np.linalg.svd(b, compute_uv=False) * gh-4853: avoid unaligned simd load on reductions on i386 * gh-4722: Fix seg fault converting empty string to object * gh-4613: Fix lack of NULL check in array_richcompare * gh-4774: avoid unaligned access for strided byteswap * gh-650: Prevent division by zero when creating arrays from some buffers * gh-4602: ifort has issues with optimization flag O2, use O1 - Switch to pypi download location - Changed Url to current home page - Minor spec file cleanups- bugfix release 1.8.1- add numpy-double-double-le.patch for ppc64le- Update to 1.8.0 Highlights: * New, no 2to3, Python 2 and Python 3 are supported by a common code base. * New, gufuncs for linear algebra, enabling operations on stacked arrays. * New, inplace fancy indexing for ufuncs with the ``.at`` method. * New, ``partition`` function, partial sorting via selection for fast median. * New, ``nanmean``, ``nanvar``, and ``nanstd`` functions skipping NaNs. * New, ``full`` and ``full_like`` functions to create value initialized arrays. * New, ``PyUFunc_RegisterLoopForDescr``, better ufunc support for user dtypes. * Numerous performance improvements in many areas. - Add a new flag to easily enable/disable atlas support for if it ever gets fixed in the future - Rebase numpy-buildfix.patch- Update to 1.7.1 * Bugfixes- Add Source URL, see https://en.opensuse.org/SourceUrls- update to 1.7.0 * This release includes several new features as well as numerous bug fixes and refactorings Highlights: - ``where=`` parameter to ufuncs (allows the use of boolean arrays to choose where a computation should be done) - ``vectorize`` improvements (added 'excluded' and 'cache' keyword, general cleanup and bug fixes) - ``numpy.random.choice`` (random sample generating function) New Features: - Reduction UFuncs Generalize axis= Parameter - Reduction UFuncs New keepdims= Parameter - Datetime support - Custom formatter for printing arrays - New function numpy.random.choice - New function isclose - Preliminary multi-dimensional support in the polynomial package - Ability to pad rank-n arrays - New argument to searchsorted - Added experimental support for the AArch64 architecture. * For additional details check release notes at http://sourceforge.net/projects/numpy/files/NumPy/1.7.0/ - numpy-aarch64.diff: removed, now upstream- add numpy-aarch64.diff: * Fix build for AArch64- Disable atlas buildrequires until the problems with atlas are worked out- Add libatlas2 buildrequires- Remove blas/lapack tests since these build successfully on all targets now - Add documentation packages These are separate packages because a lot of packages depend on numpy, so building the documentation inside the base spec file would slow down the build process for the entire project- Old products don't provide python(abi).- Update to version 1.6.2: * bugfixes- Fix rpmlint warnings- Removed tests for unsupported openSUSE versions- Add python 3 package - devel package BuildRequires -> Requires- Fix SLE_11 build- Modify BuildRequires to match recent name changes of lapack and blas in project.- Added static lib to devel package for scipy build- Update to version 1.6.1: * Please see http://downloads.sourceforge.net/project/numpy/NumPy/1.6.1/Changelog - Spec file cleanup: * Set license to BSD-3-Clause (SPDX style) * Removed testsuite from packages * Removed rpmlintrc file and actually fixed the issues- update to 1.5.1 Numpy 1.5.1 is a bug-fix release with no new features compared to 1.5.0. Relevant bugs fixed: * linalg: lstsq should always return real residual * lib: fix negative indices in s_ and index_exp * core: fix uint64 -> Python int cast * core: richcompare should return Py_NotImplemented when undefined * lib: close file handles after use in numpy.lib.npyio.* * core: ensure PEP 3118 buffers can be released in exception handler * core: fix clongdouble cast to Python complex() * core: fix detection for ``isfinite`` routine- update to 1.5.0 to fix build against python 2.7 highlights 1.3 -> 1.4: * New datetime dtype support to deal with dates in arrays * Faster import time * Extended array wrapping mechanism for ufuncs * New Neighborhood iterator (C-level only) * C99-like complex functions in npymath highlights 1.4 -> 1.5: * support for python3 and python 2.7- fix build for hppa- re-enable build on non-SUSE distros - do not provide python-numeric on Fedora, since a package by that name exists- use a more generic way to define py_sitedir on all targets- remerge d:l:p version with O:F version - split -devel package and add support for !suse targets- update to 1.3.0 * official python 2.6 support (although it did (mostly) work before) * new multiarray APIssheep83 1550315897 1.14.0-lp150.3.3.11.14.0-lp150.3.3.1__multiarray_api.h__ufunc_api.h_neighborhood_iterator_imp.h_numpyconfig.harrayobject.harrayscalars.hhalffloat.hndarrayobject.hndarraytypes.hnoprefix.hnpy_1_7_deprecated_api.hnpy_3kcompat.hnpy_common.hnpy_cpu.hnpy_endian.hnpy_interrupt.hnpy_math.hnpy_no_deprecated_api.hnpy_os.hnumpyconfig.hold_defines.holdnumeric.hufuncobject.hutils.hlibnpymath.agfortran_vs2003_hack.cfortranobject.cfortranobject.hrandomkit.hpython3-numpy_1_14_0-gnu-hpc-develLICENSE.txt/usr/lib/hpc/gnu7/python-numpy/1.14.0/lib64/python3.6/site-packages/numpy/core/include/numpy//usr/lib/hpc/gnu7/python-numpy/1.14.0/lib64/python3.6/site-packages/numpy/core/lib//usr/lib/hpc/gnu7/python-numpy/1.14.0/lib64/python3.6/site-packages/numpy/distutils/mingw//usr/lib/hpc/gnu7/python-numpy/1.14.0/lib64/python3.6/site-packages/numpy/f2py/src//usr/lib/hpc/gnu7/python-numpy/1.14.0/lib64/python3.6/site-packages/numpy/random//usr/share/licenses//usr/share/licenses/python3-numpy_1_14_0-gnu-hpc-devel/-fmessage-length=0 -grecord-gcc-switches -O2 -Wall -D_FORTIFY_SOURCE=2 -fstack-protector-strong -funwind-tables -fasynchronous-unwind-tables -fstack-clash-protection -gobs://build.opensuse.org/openSUSE:Maintenance:9678/openSUSE_Leap_15.0_Update/7be1725d4eeb3b9e25961fa8699a847b-python-numpy.openSUSE_Leap_15.0_Update:gnu-hpcdrpmxz5x86_64-suse-linuxC source, ASCII textcurrent ar archiveASCII textdirectoryN]%+*5Lrutf-8c7d94eafa4818cccd5c3de6b1934c14d76aa68634da7b641ebfb6790cd9e57cf?P7zXZ !t/VD=]"k%a â] DXtB'5'p畎iѓ{e*4P3' GM|.(ci_9G1~ [Q%I:Ț7#qǁϐ½d]a4be$Q\-y.o~˳gca|UZPj|CYm"]\ūiZ^lAG,5^=r9L6A4a-uTUud!W6p鎃`,@V^ u5V^a=؁Yܸ? 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