automatic import of python-pyimfit

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diff --git a/.gitignore b/.gitignore
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+/pyimfit-0.12.0.tar.gz
diff --git a/python-pyimfit.spec b/python-pyimfit.spec
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+%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
diff --git a/sources b/sources
new file mode 100644
index 0000000..8502fcb
--- /dev/null
+++ b/sources
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+bb4e0dd5a60101ab77984ca7f2e7e59e  pyimfit-0.12.0.tar.gz