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diff --git a/python-pyimfit.spec b/python-pyimfit.spec new file mode 100644 index 0000000..c7108c3 --- /dev/null +++ b/python-pyimfit.spec @@ -0,0 +1,183 @@ +%global _empty_manifest_terminate_build 0 +Name: python-pyimfit +Version: 0.12.0 +Release: 1 +Summary: Python wrapper for astronomical image-fitting program Imfit +License: GNU General Public License v3 (GPLv3) +URL: https://github.com/perwin/pyimfit +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/2b/a8/054568ea68498fef20f9de6ae49a40a6f2cce8791dd9dff228d4387252fb/pyimfit-0.12.0.tar.gz +BuildArch: noarch + + +%description +# Pyimfit + +This is a Python wrapper for the astronomical image-fitting program Imfit. + +Online documentation: [https://pyimfit.readthedocs.io/en/latest/](https://pyimfit.readthedocs.io/en/latest/). + + +## Sample Usage + +The following assumes an interactive Python session (such as an iPython session +or Jupyter notebook): + + from astropy.io import fits + import pyimfit + + imageFile = "<path-to-FITS-file-directory>/ic3478rss_256.fits" + imfitConfigFile = "<path-to-config-file-directory>/config_exponential_ic3478_256.dat" + + # read in image data, convert to proper double-precisions, little-endian format + image_data = fits.getdata(imageFile) + + # construct model from config file; construct new Imfit fitter based on model,; + model_desc = pyimfit.ModelDescription.load(configFile) + + # create an Imfit object, using the previously loaded model configuration + imfit_fitter = pyimfit.Imfit(model_desc) + + # load the image data and image characteristics and do a standard fit + # (using default chi^2 statistics and Levenberg-Marquardt solver) + result = imfit_fitter.fit(image_data, gain=4.725, read_noise=4.3, original_sky=130.14) + + # check the fit and print the resulting best-fit parameter values + if result.fitConverged is True: + print("Fit converged: chi^2 = {0}, reduced chi^2 = {1}".format(imfit_fitter.fitStatistic, + result.reducedFitStat)) + bestfit_params = result.params + print("Best-fit parameter values:", bestfit_params) + + +%package -n python3-pyimfit +Summary: Python wrapper for astronomical image-fitting program Imfit +Provides: python-pyimfit +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-pyimfit +# Pyimfit + +This is a Python wrapper for the astronomical image-fitting program Imfit. + +Online documentation: [https://pyimfit.readthedocs.io/en/latest/](https://pyimfit.readthedocs.io/en/latest/). + + +## Sample Usage + +The following assumes an interactive Python session (such as an iPython session +or Jupyter notebook): + + from astropy.io import fits + import pyimfit + + imageFile = "<path-to-FITS-file-directory>/ic3478rss_256.fits" + imfitConfigFile = "<path-to-config-file-directory>/config_exponential_ic3478_256.dat" + + # read in image data, convert to proper double-precisions, little-endian format + image_data = fits.getdata(imageFile) + + # construct model from config file; construct new Imfit fitter based on model,; + model_desc = pyimfit.ModelDescription.load(configFile) + + # create an Imfit object, using the previously loaded model configuration + imfit_fitter = pyimfit.Imfit(model_desc) + + # load the image data and image characteristics and do a standard fit + # (using default chi^2 statistics and Levenberg-Marquardt solver) + result = imfit_fitter.fit(image_data, gain=4.725, read_noise=4.3, original_sky=130.14) + + # check the fit and print the resulting best-fit parameter values + if result.fitConverged is True: + print("Fit converged: chi^2 = {0}, reduced chi^2 = {1}".format(imfit_fitter.fitStatistic, + result.reducedFitStat)) + bestfit_params = result.params + print("Best-fit parameter values:", bestfit_params) + + +%package help +Summary: Development documents and examples for pyimfit +Provides: python3-pyimfit-doc +%description help +# Pyimfit + +This is a Python wrapper for the astronomical image-fitting program Imfit. + +Online documentation: [https://pyimfit.readthedocs.io/en/latest/](https://pyimfit.readthedocs.io/en/latest/). + + +## Sample Usage + +The following assumes an interactive Python session (such as an iPython session +or Jupyter notebook): + + from astropy.io import fits + import pyimfit + + imageFile = "<path-to-FITS-file-directory>/ic3478rss_256.fits" + imfitConfigFile = "<path-to-config-file-directory>/config_exponential_ic3478_256.dat" + + # read in image data, convert to proper double-precisions, little-endian format + image_data = fits.getdata(imageFile) + + # construct model from config file; construct new Imfit fitter based on model,; + model_desc = pyimfit.ModelDescription.load(configFile) + + # create an Imfit object, using the previously loaded model configuration + imfit_fitter = pyimfit.Imfit(model_desc) + + # load the image data and image characteristics and do a standard fit + # (using default chi^2 statistics and Levenberg-Marquardt solver) + result = imfit_fitter.fit(image_data, gain=4.725, read_noise=4.3, original_sky=130.14) + + # check the fit and print the resulting best-fit parameter values + if result.fitConverged is True: + print("Fit converged: chi^2 = {0}, reduced chi^2 = {1}".format(imfit_fitter.fitStatistic, + result.reducedFitStat)) + bestfit_params = result.params + print("Best-fit parameter values:", bestfit_params) + + +%prep +%autosetup -n pyimfit-0.12.0 + +%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-pyimfit -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Thu May 18 2023 Python_Bot <Python_Bot@openeuler.org> - 0.12.0-1 +- Package Spec generated |