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%global _empty_manifest_terminate_build 0
Name: python-aspecd
Version: 0.8.0
Release: 1
Summary: Framework for handling spectroscopic data.
License: BSD
URL: https://www.aspecd.de/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/93/94/812ec7958882e2e0e8c12c6551a2f8c53c162d6888d17098625fdf0ec718/aspecd-0.8.0.tar.gz
BuildArch: noarch
Requires: python3-asdf
Requires: python3-bibrecord
Requires: python3-jinja2
Requires: python3-matplotlib
Requires: python3-numpy
Requires: python3-oyaml
Requires: python3-scipy
Requires: python3-prospector
Requires: python3-sphinx
Requires: python3-sphinx-multiversion
Requires: python3-sphinx-rtd-theme
%description
ASpecD is a **framework for handling spectroscopic data** focussing on **reproducibility**. In short: Each and every processing step applied to your data will be recorded and can be traced back, and additionally, for each representation of your data (e.g., figures, tables) you can easily follow how the data shown have been processed and where they originate from.
What is even better: Actual data processing and analysis **no longer requires programming skills**, but is as simple as writing a text file summarising all the steps you want to have been performed on your dataset(s) in an organised way. Curious? Here is an example::
format:
type: ASpecD recipe
version: '0.2'
datasets:
- /path/to/first/dataset
- /path/to/second/dataset
tasks:
- kind: processing
type: BaselineCorrection
properties:
parameters:
kind: polynomial
order: 0
- kind: singleplot
type: SinglePlotter1D
properties:
filename:
- first-dataset.pdf
- second-dataset.pdf
For more general information on the ASpecD framework see its `homepage <https://www.aspecd.de/>`_, and for how to use it, its `documentation <https://doc.aspecd.de/>`_.
%package -n python3-aspecd
Summary: Framework for handling spectroscopic data.
Provides: python-aspecd
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-aspecd
ASpecD is a **framework for handling spectroscopic data** focussing on **reproducibility**. In short: Each and every processing step applied to your data will be recorded and can be traced back, and additionally, for each representation of your data (e.g., figures, tables) you can easily follow how the data shown have been processed and where they originate from.
What is even better: Actual data processing and analysis **no longer requires programming skills**, but is as simple as writing a text file summarising all the steps you want to have been performed on your dataset(s) in an organised way. Curious? Here is an example::
format:
type: ASpecD recipe
version: '0.2'
datasets:
- /path/to/first/dataset
- /path/to/second/dataset
tasks:
- kind: processing
type: BaselineCorrection
properties:
parameters:
kind: polynomial
order: 0
- kind: singleplot
type: SinglePlotter1D
properties:
filename:
- first-dataset.pdf
- second-dataset.pdf
For more general information on the ASpecD framework see its `homepage <https://www.aspecd.de/>`_, and for how to use it, its `documentation <https://doc.aspecd.de/>`_.
%package help
Summary: Development documents and examples for aspecd
Provides: python3-aspecd-doc
%description help
ASpecD is a **framework for handling spectroscopic data** focussing on **reproducibility**. In short: Each and every processing step applied to your data will be recorded and can be traced back, and additionally, for each representation of your data (e.g., figures, tables) you can easily follow how the data shown have been processed and where they originate from.
What is even better: Actual data processing and analysis **no longer requires programming skills**, but is as simple as writing a text file summarising all the steps you want to have been performed on your dataset(s) in an organised way. Curious? Here is an example::
format:
type: ASpecD recipe
version: '0.2'
datasets:
- /path/to/first/dataset
- /path/to/second/dataset
tasks:
- kind: processing
type: BaselineCorrection
properties:
parameters:
kind: polynomial
order: 0
- kind: singleplot
type: SinglePlotter1D
properties:
filename:
- first-dataset.pdf
- second-dataset.pdf
For more general information on the ASpecD framework see its `homepage <https://www.aspecd.de/>`_, and for how to use it, its `documentation <https://doc.aspecd.de/>`_.
%prep
%autosetup -n aspecd-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-aspecd -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
|
