python-opt-einsum-3.3.0-1.oe24090>    f$ ;G|`u` $ *Tj>ʌ9]!IF`\dLSiI65$Fki'FtEAjp^H^y1)ƴINͱ@a܊K)mjJ츊㺞iWu}=5Nm `cZ dU3spnsʍlÎK!=㣰bWLF(4%ZP\.7+T0)Ʌ׵\nq?x9~ǘ G(Bw !ʴ, ~LKFApPzsFPrJ+̈uʇ ZDMBHMּu|춲E|4;yjDc46mrc6256eedc70f84da74656704c1755bace79eecec16e7e15df66aac4985bf05b0e93885d69c63bb8b743dad206998713d06f6b00eHzIHu>7?d # E  06@H L P X  ,<(89:AFGHI R$X(Y0\P]X^def%Cpython-opt-einsum3.3.01.oe2409Optimizing numpys einsum functionOptimized einsum can significantly reduce the overall execution time of einsum-like expressions (e.g., [`np.einsum`](https://docs.scipy.org/doc/numpy/reference/generated/numpy.einsum.html), [`dask.array.einsum`](https://docs.dask.org/en/latest/array-api.html#dask.array.einsum), [`pytorch.einsum`](https://pytorch.org/docs/stable/torch.html#torch.einsum), [`tensorflow.einsum`](https://www.tensorflow.org/api_docs/python/tf/einsum), ) by optimizing the expression's contraction order and dispatching many operations to canonical BLAS, cuBLAS, or other specialized routines. Optimized einsum is agnostic to the backend and can handle NumPy, Dask, PyTorch, Tensorflow, CuPy, Sparse, Theano, JAX, and Autograd arrays as well as potentially any library which conforms to a standard API. See the [**documentation**](http://optimized-einsum.readthedocs.io) for more information.fdc-64g.compass-ci34MIThttp://openeuler.orgUnspecifiedopt_einsum-3.3.0.tar.gzhttps://github.com/dgasmith/opt_einsumlinuxnoarch UfOfO59f6475f77bbc37dcf7cd748519c0ec60722e91e63ca114e68821c0c54a46549751463ccfff0090aaa31f027149f17ad1921fb788a045a93845af6600388b07e rootrootrootrootpython3-opt-einsumpython-opt-einsum-help  python3-develpython3-setuptoolsrpmlib(CompressedFileNames)rpmlib(FileDigests)3.0.4-14.6.0-14.18.2_y@Python_Bot - Package Spec generatednoarchdc-64g.compass-ci 17266598713.3.0-1.oe24093.3.0-1.oe2409opt_einsum-3.3.0.tar.gzpython-opt-einsum.speccpiogzip9utf-8599e6225db2d918731257db0049f03902e9d177c89634cb56749501a507dbb3efb92120e28a012fde16e4fbf07e5df9708f139dc0ae3c4dd5fdf0a725507ffa1 Name: python-opt-einsum Version: 3.3.0 Release: 1 Summary: Optimizing numpys einsum function License: MIT URL: https://github.com/dgasmith/opt_einsum Source0: https://files.pythonhosted.org/packages/7d/bf/9257e53a0e7715bc1127e15063e831f076723c6cd60985333a1c18878fb8/opt_einsum-3.3.0.tar.gz BuildArch: noarch Requires: python3-numpy Requires: python3-sphinx Requires: python3-sphinxcontrib-napoleon Requires: python3-sphinx-rtd-theme Requires: python3-numpydoc Requires: python3-pytest Requires: python3-pytest-cov Requires: python3-pytest-pep8 %description Optimized einsum can significantly reduce the overall execution time of einsum-like expressions (e.g., [`np.einsum`](https://docs.scipy.org/doc/numpy/reference/generated/numpy.einsum.html), [`dask.array.einsum`](https://docs.dask.org/en/latest/array-api.html#dask.array.einsum), [`pytorch.einsum`](https://pytorch.org/docs/stable/torch.html#torch.einsum), [`tensorflow.einsum`](https://www.tensorflow.org/api_docs/python/tf/einsum), ) by optimizing the expression's contraction order and dispatching many operations to canonical BLAS, cuBLAS, or other specialized routines. Optimized einsum is agnostic to the backend and can handle NumPy, Dask, PyTorch, Tensorflow, CuPy, Sparse, Theano, JAX, and Autograd arrays as well as potentially any library which conforms to a standard API. See the [**documentation**](http://optimized-einsum.readthedocs.io) for more information. %package -n python3-opt-einsum Summary: Optimizing numpys einsum function Provides: python-opt-einsum BuildRequires: python3-devel BuildRequires: python3-setuptools %description -n python3-opt-einsum Optimized einsum can significantly reduce the overall execution time of einsum-like expressions (e.g., [`np.einsum`](https://docs.scipy.org/doc/numpy/reference/generated/numpy.einsum.html), [`dask.array.einsum`](https://docs.dask.org/en/latest/array-api.html#dask.array.einsum), [`pytorch.einsum`](https://pytorch.org/docs/stable/torch.html#torch.einsum), [`tensorflow.einsum`](https://www.tensorflow.org/api_docs/python/tf/einsum), ) by optimizing the expression's contraction order and dispatching many operations to canonical BLAS, cuBLAS, or other specialized routines. Optimized einsum is agnostic to the backend and can handle NumPy, Dask, PyTorch, Tensorflow, CuPy, Sparse, Theano, JAX, and Autograd arrays as well as potentially any library which conforms to a standard API. See the [**documentation**](http://optimized-einsum.readthedocs.io) for more information. %package help Summary: Development documents and examples for opt-einsum Provides: python3-opt-einsum-doc %description help Optimized einsum can significantly reduce the overall execution time of einsum-like expressions (e.g., [`np.einsum`](https://docs.scipy.org/doc/numpy/reference/generated/numpy.einsum.html), [`dask.array.einsum`](https://docs.dask.org/en/latest/array-api.html#dask.array.einsum), [`pytorch.einsum`](https://pytorch.org/docs/stable/torch.html#torch.einsum), [`tensorflow.einsum`](https://www.tensorflow.org/api_docs/python/tf/einsum), ) by optimizing the expression's contraction order and dispatching many operations to canonical BLAS, cuBLAS, or other specialized routines. Optimized einsum is agnostic to the backend and can handle NumPy, Dask, PyTorch, Tensorflow, CuPy, Sparse, Theano, JAX, and Autograd arrays as well as potentially any library which conforms to a standard API. See the [**documentation**](http://optimized-einsum.readthedocs.io) for more information. %prep cd '/home/lkp/rpmbuild/BUILD' rm -rf 'opt_einsum-3.3.0' /usr/lib/rpm/rpmuncompress -x '/home/lkp/rpmbuild/SOURCES/opt_einsum-3.3.0.tar.gz' STATUS=$? if [ $STATUS -ne 0 ]; then exit $STATUS fi cd 'opt_einsum-3.3.0' /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . \ CFLAGS="${CFLAGS:-${RPM_OPT_FLAGS}}" LDFLAGS="${LDFLAGS:-${RPM_LD_FLAGS}}"\ /usr/bin/python3 setup.py build --executable="/usr/bin/python3 -s" sleep 1 %install \ CFLAGS="${CFLAGS:-${RPM_OPT_FLAGS}}" LDFLAGS="${LDFLAGS:-${RPM_LD_FLAGS}}"\ /usr/bin/python3 setup.py install -O1 --skip-build --root /home/lkp/rpmbuild/BUILDROOT/python-opt-einsum-3.3.0-1.oe2409.x86_64 install -d -m755 /home/lkp/rpmbuild/BUILDROOT/python-opt-einsum-3.3.0-1.oe2409.x86_64//usr/share/doc/python-opt-einsum if [ -d doc ]; then cp -arf doc /home/lkp/rpmbuild/BUILDROOT/python-opt-einsum-3.3.0-1.oe2409.x86_64//usr/share/doc/python-opt-einsum; fi if [ -d docs ]; then cp -arf docs /home/lkp/rpmbuild/BUILDROOT/python-opt-einsum-3.3.0-1.oe2409.x86_64//usr/share/doc/python-opt-einsum; fi if [ -d example ]; then cp -arf example /home/lkp/rpmbuild/BUILDROOT/python-opt-einsum-3.3.0-1.oe2409.x86_64//usr/share/doc/python-opt-einsum; fi if [ -d examples ]; then cp -arf examples /home/lkp/rpmbuild/BUILDROOT/python-opt-einsum-3.3.0-1.oe2409.x86_64//usr/share/doc/python-opt-einsum; fi pushd /home/lkp/rpmbuild/BUILDROOT/python-opt-einsum-3.3.0-1.oe2409.x86_64 if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv /home/lkp/rpmbuild/BUILDROOT/python-opt-einsum-3.3.0-1.oe2409.x86_64/filelist.lst . mv /home/lkp/rpmbuild/BUILDROOT/python-opt-einsum-3.3.0-1.oe2409.x86_64/doclist.lst . %files -n python3-opt-einsum -f filelist.lst %dir /usr/lib/python3.11/site-packages/* %files help -f doclist.lst /usr/share/doc/* %changelog * Sun Oct 04 2020 Python_Bot - Package Spec generated ?xCp/dlɋm۶m۶mN^l۶m[=l_fjjN=U==# llF,f311f.vήtt t.Nt^@@@PPMS KgW#uϖۖF+7L3D]WJZjN]qeh0B8 PpՁc1Qwnn"D*<[G{mbg}iۆ]Kno+Rl_\_ \+dqq r{,\/}ŪVu t-cwylH[p -=u? \Cbplqv)u#@u(y#&X6`~]t usBft)뾔' q{>^d@Б/{  ہo:E!N ͯBRV 6dWg?񏙋h?}EBP]'Ao<Dnr`vຎ 2njt{ ⸫@ؐ!u{3|h hv'0؈ʹ[Vѯ;տu|=X]^fӓw6h;7_h^hLT3^[#y{h l SlJs T6Ҧ p_|ӎ|K,Z}t7+XqeQL 4|؄ wn¯_3]o90u۱˛;tG8p˂ Z qݮYM5~zNu;L2+=oy~zfA/3t}b^rT7S '5~fx4ݠʹfSa#'2{FC(6ttI}kYv?Im~RFՉs͈"Wz5?M6O1^QgO-̿VG@cid >M3D9ud[w;wG:Srʞg .C -.Kn䊻9z*[Zv]}Lz0kձY`lٖ}Q2&t "J}> ar3Q 5aC<r '{$) "A0{ ysO{0'X] {ւCQu(u88ى9s+#g;0MpG^ț? ;w%% l^ZZ!s=YcE[j㻇 B[NZId u9`Piλ V7y"+5\@#O/ZKa ,{V$Y۞Y%pNI)68/!1Af~(#!5 %&qcQWs˓s"hk%wJx`ss$+!+MVma5 KZ$ԯ1ԵXo+,ƩpČÊcEȕju@~j@ӁhʗAruf́yl^TŨdzӌ+mA , 0 ,m aylX r0EQNזHe.m1gvQl yԨ5 X;xM8k jWQ 4[™H9T@ yd) T$)]q%7kj]x VN_Ǐoud#Ն]wv`v5[)1~.栚Z>$w)5+ !*0]L!(2g?xZj6# Dv,$j[7sGPDu_锹\;DO2(Ɋr>tuIr1iP_טW#34HӐ_^..wz\52 fu>LGl!6C 9^R eNldnq02@ft<sjλ]_gXpֽ.?4Wv 5 m.'smזYB="V %i2 9 q j.`#D7H+:Z3'\p֝Cwٳ ^zA~EOXD=eo߃SYޚ⾮LqFNT>Jfc*Ћﵑ1XZsVaJ?FCҟ\ gL0 \Ț+" i8i:+G^nչϛBny(_pOz+ohx%ѽ{7|nw0ٕ d'k֖٩˜CxJe3t ( vTX_lJ_V#Z.ݐİ!X;GV >dPaf33 o(I-5Uktm??w#vs$L_{~ԇq@ Œ-JdDDcڭЦɕ T:Y%E VTPuw+܉شMY=]]8@ e]>62Ƈ_ϖm5}t rc'z!͇҃cڠɲ(M~)!S~ ?)kٽ_5k.'0/?klJ%ݴ.ÉAouOotnl.6ѨkǬ:gU|ig3v8>/f଍C;xx,}+P/9V`hlydt) %?+^^a競}FKt=q7 ,#)ޞ"?_~.lmyew[W8(+b1ڎǷˬsnߣU BP -$֝M)%WZyngMEuH>u"0Cu5w#0C> Qvh E\tpգb68)ċT:A:W4gR7D ,kh-- {w]@ji{[[ߝ͍mՇtW*6A0=hr5K>x8g ^\ݭϏ ۆ<̕0xk} Adُm-},"Er/CSc1l;v Z3=|姯P8=mJP[9 y;zoA8@ /"ޗtz!&Wn{o(_.u&Cbdm m?y,S{%Q#UwHsW:u$qR}Am6}{b4䒳sVU,>:Kc~EigeyTs47-WAaxg;9;a|B^iwo{Gc'eXD+?>r,'a2Eў 6lͮJ1c_~tk%S:>b#K/b=A^0Pu~r“+DgG\_%)1 '5$ ?Mm|/4tĆb0=v(qgd|W.ߩ K{Yc%+ cQ`ޅjag>]"_"04w$k0cY#.[sUKjK:zi\$;pyO1[ogCcsgcwcwz'(30 MΧNZ)3-\2D/haS?@(>8wzG3+0x&Bw֋7ϷHۤѪ,j$l=]l7]| -H/S1ƙʪ1a cs.e0ZK_U5K?%=Rp3զ.cʀ`N*U.ojINk7FF+z)L ݔy}>~ަei?_'ZF&0Dc|Y:el_W~Q .̋ŋUb+^%(aW#r*4:HS[Iv7HxhjuX&D]G3A7{Pښm&5I@EUfޞ94O%\}pC+H7΁lf?mwfA>HbR܈=:n+q53xiuUI2zNe7u}ҫѬ;HؠۄaElAZ݈4 B`4~B|Ͳ JL! 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