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%global _empty_manifest_terminate_build 0
Name: python-autocti
Version: 2023.1.15.1
Release: 1
Summary: PyAutoCTI: Charge Transfer Inefficiency Modeling
License: MIT License
URL: https://github.com/jammy2211/PyAutoCTI
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/28/78/d789d4dbf093e6eda5c545ed66343d6326f0033bffe8d823007608bd0525/autocti-2023.1.15.1.tar.gz
BuildArch: noarch
Requires: python3-arcticpy
Requires: python3-autoconf
Requires: python3-autofit
Requires: python3-autoarray
%description
|binder| |RTD| |Tests| |Build| |code-style| |arXiv|
`Installation Guide <https://pyautocti.readthedocs.io/en/latest/installation/overview.html>`_ |
`readthedocs <https://pyautocti.readthedocs.io/en/latest/index.html>`_ |
`Introduction on Binder <https://mybinder.org/v2/gh/Jammy2211/autocti_workspace/release?filepath=introduction.ipynb>`_ |
`What is CTI? <https://pyautocti.readthedocs.io/en/latest/overview/overview_1_what_is_cti.html>`_
Charge Transfer Inefficiency, or CTI for short, is an effect that occurs when acquiring imaging data from
Charge Coupled Devices (CCDs). Due to radiation damage to the CCD's silicon lattice electrons are read-out inefficiently,
creating a characteristic trailing or smearing effect.
Here is an example of CTI in the Hubble space telescope, after decades of radiation damage:
**PyAutoCTI** makes it simple to calibrate a time-varying CTI model using in-orbit observations and correct CTI in
science imaging using this model.
**PyAutoCTI** development is centred around mitigating CTI for the Euclid space mission, which relies on the precise
measurement of galaxy shapes in order to map out the distribution of dark matter throughout the Universe via a
phenomena called weak gravitational lensing.
%package -n python3-autocti
Summary: PyAutoCTI: Charge Transfer Inefficiency Modeling
Provides: python-autocti
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-autocti
|binder| |RTD| |Tests| |Build| |code-style| |arXiv|
`Installation Guide <https://pyautocti.readthedocs.io/en/latest/installation/overview.html>`_ |
`readthedocs <https://pyautocti.readthedocs.io/en/latest/index.html>`_ |
`Introduction on Binder <https://mybinder.org/v2/gh/Jammy2211/autocti_workspace/release?filepath=introduction.ipynb>`_ |
`What is CTI? <https://pyautocti.readthedocs.io/en/latest/overview/overview_1_what_is_cti.html>`_
Charge Transfer Inefficiency, or CTI for short, is an effect that occurs when acquiring imaging data from
Charge Coupled Devices (CCDs). Due to radiation damage to the CCD's silicon lattice electrons are read-out inefficiently,
creating a characteristic trailing or smearing effect.
Here is an example of CTI in the Hubble space telescope, after decades of radiation damage:
**PyAutoCTI** makes it simple to calibrate a time-varying CTI model using in-orbit observations and correct CTI in
science imaging using this model.
**PyAutoCTI** development is centred around mitigating CTI for the Euclid space mission, which relies on the precise
measurement of galaxy shapes in order to map out the distribution of dark matter throughout the Universe via a
phenomena called weak gravitational lensing.
%package help
Summary: Development documents and examples for autocti
Provides: python3-autocti-doc
%description help
|binder| |RTD| |Tests| |Build| |code-style| |arXiv|
`Installation Guide <https://pyautocti.readthedocs.io/en/latest/installation/overview.html>`_ |
`readthedocs <https://pyautocti.readthedocs.io/en/latest/index.html>`_ |
`Introduction on Binder <https://mybinder.org/v2/gh/Jammy2211/autocti_workspace/release?filepath=introduction.ipynb>`_ |
`What is CTI? <https://pyautocti.readthedocs.io/en/latest/overview/overview_1_what_is_cti.html>`_
Charge Transfer Inefficiency, or CTI for short, is an effect that occurs when acquiring imaging data from
Charge Coupled Devices (CCDs). Due to radiation damage to the CCD's silicon lattice electrons are read-out inefficiently,
creating a characteristic trailing or smearing effect.
Here is an example of CTI in the Hubble space telescope, after decades of radiation damage:
**PyAutoCTI** makes it simple to calibrate a time-varying CTI model using in-orbit observations and correct CTI in
science imaging using this model.
**PyAutoCTI** development is centred around mitigating CTI for the Euclid space mission, which relies on the precise
measurement of galaxy shapes in order to map out the distribution of dark matter throughout the Universe via a
phenomena called weak gravitational lensing.
%prep
%autosetup -n autocti-2023.1.15.1
%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-autocti -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue May 30 2023 Python_Bot <Python_Bot@openeuler.org> - 2023.1.15.1-1
- Package Spec generated
|
