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%global _empty_manifest_terminate_build 0
Name: python-construct
Version: 2.10.68
Release: 1
Summary: A powerful declarative symmetric parser/builder for binary data
License: MIT
URL: http://construct.readthedocs.org
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/e0/b7/a4a032e94bcfdff481f2e6fecd472794d9da09f474a2185ed33b2c7cad64/construct-2.10.68.tar.gz
BuildArch: noarch
%description
Construct is a powerful **declarative** and **symmetrical** parser and builder for binary data.
Instead of writing *imperative code* to parse a piece of data, you declaratively define a *data structure* that describes your data. As this data structure is not code, you can use it in one direction to *parse* data into Pythonic objects, and in the other direction, to *build* objects into binary data.
The library provides both simple, atomic constructs (such as integers of various sizes), as well as composite ones which allow you form hierarchical and sequential structures of increasing complexity. Construct features **bit and byte granularity**, easy debugging and testing, an **easy-to-extend subclass system**, and lots of primitive constructs to make your work easier:
* Fields: raw bytes or numerical types
* Structs and Sequences: combine simpler constructs into more complex ones
* Bitwise: splitting bytes into bit-grained fields
* Adapters: change how data is represented
* Arrays/Ranges: duplicate constructs
* Meta-constructs: use the context (history) to compute the size of data
* If/Switch: branch the computational path based on the context
* On-demand (lazy) parsing: read and parse only what you require
* Pointers: jump from here to there in the data stream
* Tunneling: prefix data with a byte count or compress it
%package -n python3-construct
Summary: A powerful declarative symmetric parser/builder for binary data
Provides: python-construct
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-construct
Construct is a powerful **declarative** and **symmetrical** parser and builder for binary data.
Instead of writing *imperative code* to parse a piece of data, you declaratively define a *data structure* that describes your data. As this data structure is not code, you can use it in one direction to *parse* data into Pythonic objects, and in the other direction, to *build* objects into binary data.
The library provides both simple, atomic constructs (such as integers of various sizes), as well as composite ones which allow you form hierarchical and sequential structures of increasing complexity. Construct features **bit and byte granularity**, easy debugging and testing, an **easy-to-extend subclass system**, and lots of primitive constructs to make your work easier:
* Fields: raw bytes or numerical types
* Structs and Sequences: combine simpler constructs into more complex ones
* Bitwise: splitting bytes into bit-grained fields
* Adapters: change how data is represented
* Arrays/Ranges: duplicate constructs
* Meta-constructs: use the context (history) to compute the size of data
* If/Switch: branch the computational path based on the context
* On-demand (lazy) parsing: read and parse only what you require
* Pointers: jump from here to there in the data stream
* Tunneling: prefix data with a byte count or compress it
%package help
Summary: Development documents and examples for construct
Provides: python3-construct-doc
%description help
Construct is a powerful **declarative** and **symmetrical** parser and builder for binary data.
Instead of writing *imperative code* to parse a piece of data, you declaratively define a *data structure* that describes your data. As this data structure is not code, you can use it in one direction to *parse* data into Pythonic objects, and in the other direction, to *build* objects into binary data.
The library provides both simple, atomic constructs (such as integers of various sizes), as well as composite ones which allow you form hierarchical and sequential structures of increasing complexity. Construct features **bit and byte granularity**, easy debugging and testing, an **easy-to-extend subclass system**, and lots of primitive constructs to make your work easier:
* Fields: raw bytes or numerical types
* Structs and Sequences: combine simpler constructs into more complex ones
* Bitwise: splitting bytes into bit-grained fields
* Adapters: change how data is represented
* Arrays/Ranges: duplicate constructs
* Meta-constructs: use the context (history) to compute the size of data
* If/Switch: branch the computational path based on the context
* On-demand (lazy) parsing: read and parse only what you require
* Pointers: jump from here to there in the data stream
* Tunneling: prefix data with a byte count or compress it
%prep
%autosetup -n construct-2.10.68
%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-construct -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 2.10.68-1
- Package Spec generated
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