From 74a7aa2a4f4c701c1ee7c982838afccbd8688c51 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Thu, 18 May 2023 05:42:55 +0000 Subject: automatic import of python-neural-semigroups --- .gitignore | 1 + python-neural-semigroups.spec | 145 ++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 147 insertions(+) create mode 100644 python-neural-semigroups.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..55d5d46 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/neural-semigroups-0.6.3.tar.gz diff --git a/python-neural-semigroups.spec b/python-neural-semigroups.spec new file mode 100644 index 0000000..0ece52b --- /dev/null +++ b/python-neural-semigroups.spec @@ -0,0 +1,145 @@ +%global _empty_manifest_terminate_build 0 +Name: python-neural-semigroups +Version: 0.6.3 +Release: 1 +Summary: Neural networks powered research of semigroups +License: Apache-2.0 +URL: https://github.com/inpefess/neural-semigroups +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/f4/a1/1e9a7d27e62f24b735e459375c51978fc084c1056d3cab0b5f0ee4c3cf09/neural-semigroups-0.6.3.tar.gz +BuildArch: noarch + +Requires: python3-torch +Requires: python3-tqdm +Requires: python3-pytorch-ignite +Requires: python3-tensorboard + +%description +The project is abandoned. +If you want to reproduce results from the +`paper `__, please use `this +notebook `__. +Here we try to model Cayley tables of semigroups using neural networks. +This work was inspired by `a sudoku +solver `__. A solved Sudoku puzzle +is nothing more than a Cayley table of a quasigroup from 9 items with +some well-known additional properties. So, one can imagine a puzzle made +from a Cayley table of any other magma, e.g. a semigroup, by hiding part +of its cells. +There are two major differences between sudoku and puzzles based on +semigroups: +1) it’s easy to take a glance on a table to understand whether it is a + sudoku or not. That’s why it was possible to encode numbers in a + table cells as colour intensities. Sudoku is a picture, and a + semigroup is not. It’s difficult to check a Cayley table’s + associativity with a naked eye; +2) Sudoku puzzles are solved by humans for fun and thus catalogued. When + solving a sudoku one knows for sure that there is a unique solution. + On the contrary, nobody guesses values in a partially filled Cayley + table of a semigroup as a form of amusement. As a result, one can + create a puzzle from a full Cayley table of a semigroup but there may + be many distinct solutions. + +%package -n python3-neural-semigroups +Summary: Neural networks powered research of semigroups +Provides: python-neural-semigroups +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-neural-semigroups +The project is abandoned. +If you want to reproduce results from the +`paper `__, please use `this +notebook `__. +Here we try to model Cayley tables of semigroups using neural networks. +This work was inspired by `a sudoku +solver `__. A solved Sudoku puzzle +is nothing more than a Cayley table of a quasigroup from 9 items with +some well-known additional properties. So, one can imagine a puzzle made +from a Cayley table of any other magma, e.g. a semigroup, by hiding part +of its cells. +There are two major differences between sudoku and puzzles based on +semigroups: +1) it’s easy to take a glance on a table to understand whether it is a + sudoku or not. That’s why it was possible to encode numbers in a + table cells as colour intensities. Sudoku is a picture, and a + semigroup is not. It’s difficult to check a Cayley table’s + associativity with a naked eye; +2) Sudoku puzzles are solved by humans for fun and thus catalogued. When + solving a sudoku one knows for sure that there is a unique solution. + On the contrary, nobody guesses values in a partially filled Cayley + table of a semigroup as a form of amusement. As a result, one can + create a puzzle from a full Cayley table of a semigroup but there may + be many distinct solutions. + +%package help +Summary: Development documents and examples for neural-semigroups +Provides: python3-neural-semigroups-doc +%description help +The project is abandoned. +If you want to reproduce results from the +`paper `__, please use `this +notebook `__. +Here we try to model Cayley tables of semigroups using neural networks. +This work was inspired by `a sudoku +solver `__. A solved Sudoku puzzle +is nothing more than a Cayley table of a quasigroup from 9 items with +some well-known additional properties. So, one can imagine a puzzle made +from a Cayley table of any other magma, e.g. a semigroup, by hiding part +of its cells. +There are two major differences between sudoku and puzzles based on +semigroups: +1) it’s easy to take a glance on a table to understand whether it is a + sudoku or not. That’s why it was possible to encode numbers in a + table cells as colour intensities. Sudoku is a picture, and a + semigroup is not. It’s difficult to check a Cayley table’s + associativity with a naked eye; +2) Sudoku puzzles are solved by humans for fun and thus catalogued. When + solving a sudoku one knows for sure that there is a unique solution. + On the contrary, nobody guesses values in a partially filled Cayley + table of a semigroup as a form of amusement. As a result, one can + create a puzzle from a full Cayley table of a semigroup but there may + be many distinct solutions. + +%prep +%autosetup -n neural-semigroups-0.6.3 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +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 %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-neural-semigroups -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Thu May 18 2023 Python_Bot - 0.6.3-1 +- Package Spec generated diff --git a/sources b/sources new file mode 100644 index 0000000..6da302f --- /dev/null +++ b/sources @@ -0,0 +1 @@ +27a72bfcfd87f9f1a77fb662036cd31d neural-semigroups-0.6.3.tar.gz -- cgit v1.2.3