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%global _empty_manifest_terminate_build 0
Name: python-pygmars
Version: 0.8.0
Release: 1
Summary: Craft simple regex-based small language lexers and parsers. Build parsers from grammars and accept Pygments lexers as an input. Derived from NLTK.
License: Apache-2.0
URL: https://github.com/nexB/pygmars
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/1d/2f/ba7149eb6c36b30ebe413e03f0ae19b15edbff0f82f299a477ef93ab6489/pygmars-0.8.0.tar.gz
BuildArch: noarch
Requires: python3-Sphinx
Requires: python3-sphinx-rtd-theme
Requires: python3-doc8
Requires: python3-pytest
Requires: python3-pytest-xdist
Requires: python3-aboutcode-toolkit
Requires: python3-black
%description
https://github.com/nexB/pygmars
pygmars is a simple lexing and parsing library designed to craft lightweight
lexers and parsers using regular expressions.
pygmars allows you to craft simple lexers that recognizes words based on
regular expressions and identify sequences of words using lightweight grammars
to obtain a parse tree.
The lexing task transforms a sequence of words or strings (e.g. already split
in words) in a sequence of Token objects, assigning a label to each word and
tracking their position and line number.
In particular, the lexing output is designed to be compatible with the output
of Pygments lexers. It becomes possible to build simple grammars on top of
existing Pygments lexers to perform lightweight parsing of the many (130+)
programming languages supported by Pygments.
The parsing task transforms a sequence of Tokens in a parse Tree where each node
in the tree is recognized and assigned a label. Parsing is using regular
expression-based grammar rules applied to recognize Token sequences.
These rules are evaluated sequentially and not recursively: this keeps things
simple and works very well in practice. This approach and the rules syntax has
been battle-tested with NLTK from which pygmars is derived.
%package -n python3-pygmars
Summary: Craft simple regex-based small language lexers and parsers. Build parsers from grammars and accept Pygments lexers as an input. Derived from NLTK.
Provides: python-pygmars
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-pygmars
https://github.com/nexB/pygmars
pygmars is a simple lexing and parsing library designed to craft lightweight
lexers and parsers using regular expressions.
pygmars allows you to craft simple lexers that recognizes words based on
regular expressions and identify sequences of words using lightweight grammars
to obtain a parse tree.
The lexing task transforms a sequence of words or strings (e.g. already split
in words) in a sequence of Token objects, assigning a label to each word and
tracking their position and line number.
In particular, the lexing output is designed to be compatible with the output
of Pygments lexers. It becomes possible to build simple grammars on top of
existing Pygments lexers to perform lightweight parsing of the many (130+)
programming languages supported by Pygments.
The parsing task transforms a sequence of Tokens in a parse Tree where each node
in the tree is recognized and assigned a label. Parsing is using regular
expression-based grammar rules applied to recognize Token sequences.
These rules are evaluated sequentially and not recursively: this keeps things
simple and works very well in practice. This approach and the rules syntax has
been battle-tested with NLTK from which pygmars is derived.
%package help
Summary: Development documents and examples for pygmars
Provides: python3-pygmars-doc
%description help
https://github.com/nexB/pygmars
pygmars is a simple lexing and parsing library designed to craft lightweight
lexers and parsers using regular expressions.
pygmars allows you to craft simple lexers that recognizes words based on
regular expressions and identify sequences of words using lightweight grammars
to obtain a parse tree.
The lexing task transforms a sequence of words or strings (e.g. already split
in words) in a sequence of Token objects, assigning a label to each word and
tracking their position and line number.
In particular, the lexing output is designed to be compatible with the output
of Pygments lexers. It becomes possible to build simple grammars on top of
existing Pygments lexers to perform lightweight parsing of the many (130+)
programming languages supported by Pygments.
The parsing task transforms a sequence of Tokens in a parse Tree where each node
in the tree is recognized and assigned a label. Parsing is using regular
expression-based grammar rules applied to recognize Token sequences.
These rules are evaluated sequentially and not recursively: this keeps things
simple and works very well in practice. This approach and the rules syntax has
been battle-tested with NLTK from which pygmars is derived.
%prep
%autosetup -n pygmars-0.8.0
%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-pygmars -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 0.8.0-1
- Package Spec generated
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