automatic import of python-nitransforms

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+/nitransforms-22.0.0.tar.gz
diff --git a/python-nitransforms.spec b/python-nitransforms.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-nitransforms
+Version:	22.0.0
+Release:	1
+Summary:	NiTransforms -- Neuroimaging spatial transforms in Python.
+License:	MIT License
+URL:		https://github.com/poldracklab/nitransforms
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/84/d3/0b688d199c450d6904b88da60cac5eac4506973792dc58ae7a12f3521fc3/nitransforms-22.0.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-nibabel
+Requires:	python3-h5py
+Requires:	python3-numpy
+Requires:	python3-scipy
+Requires:	python3-numpy
+Requires:	python3-scipy
+Requires:	python3-lxml
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+Requires:	python3-codecov
+Requires:	python3-lxml
+Requires:	python3-lxml
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+Requires:	python3-codecov
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+Requires:	python3-codecov
+
+%description
+# NiTransforms
+[![DOI](https://joss.theoj.org/papers/10.21105/joss.03459/status.svg)](https://doi.org/10.21105/joss.03459)
+[![ISBI2020](https://img.shields.io/badge/doi-10.31219%2Fosf.io%2F8aq7b-blue.svg)](https://doi.org/10.31219/osf.io/8aq7b)
+[![Deps & CI](https://github.com/poldracklab/nitransforms/actions/workflows/travis.yml/badge.svg)](https://github.com/poldracklab/nitransforms/actions/workflows/travis.yml)
+[![CircleCI](https://circleci.com/gh/poldracklab/nitransforms.svg?style=svg)](https://circleci.com/gh/poldracklab/nitransforms)
+[![codecov](https://codecov.io/gh/poldracklab/nitransforms/branch/master/graph/badge.svg)](https://codecov.io/gh/poldracklab/nitransforms)
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/poldracklab/nitransforms/master?filepath=docs%2Fnotebooks%2F)
+[![Docs](https://readthedocs.org/projects/nitransforms/badge/?version=latest)](http://nitransforms.readthedocs.io/en/latest/?badge=latest)
+
+A development repo for [nipy/nibabel#656](https://github.com/nipy/nibabel/pull/656)
+
+## About
+Spatial transforms formalize mappings between coordinates of objects in biomedical images.
+Transforms typically are the outcome of image registration methodologies, which estimate
+the alignment between two images.
+Image registration is a prominent task present in nearly all standard image processing
+and analysis pipelines.
+The proliferation of software implementations of image registration methodologies has
+resulted in a spread of data structures and file formats used to preserve and communicate
+transforms.
+This segregation of formats precludes the compatibility between tools and endangers the
+reproducibility of results.
+We propose a software tool capable of converting between formats and resampling images
+to apply transforms generated by the most popular neuroimaging packages and libraries
+(AFNI, FSL, FreeSurfer, ITK, and SPM).
+The proposed software is subject to continuous integration tests to check the
+compatibility with each supported tool after every change to the code base.
+Compatibility between software tools and imaging formats is a necessary bridge
+to ensure the reproducibility of results and enable the optimization and evaluation
+of current image processing and analysis workflows.
+
+## Integration with *NiBabel*
+*NiTransforms* started as a feature-repo spun off of *NiBabel*.
+Shortly after starting with [nipy/nibabel#656](https://github.com/nipy/nibabel/pull/656), it became apparent that it was going to build up in a humongous PR nobody would be able to review as thoroughly as it would require.
+Also, *NiTransforms* has many connections to BIDS/BIDS-Derivatives and its X5 format specification for transforms, which falls outside of the current scope of *NiBabel*.
+
+The plan is to make it an isolated tool, and once it is pertinent, proceed with the integration into *NiBabel*.
+Once this repository is ready for integration, we will define what can go into *NiBabel* (presumably everything, except perhaps some final details of the X5 implementation, although *NiBabel* will support the data structure at least logically).
+This is to say that the chances that NiTransforms is integrated into NiBabel are high and scheduled to happen in ~2022 Q2.
+
+
+
+
+%package -n python3-nitransforms
+Summary:	NiTransforms -- Neuroimaging spatial transforms in Python.
+Provides:	python-nitransforms
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-nitransforms
+# NiTransforms
+[![DOI](https://joss.theoj.org/papers/10.21105/joss.03459/status.svg)](https://doi.org/10.21105/joss.03459)
+[![ISBI2020](https://img.shields.io/badge/doi-10.31219%2Fosf.io%2F8aq7b-blue.svg)](https://doi.org/10.31219/osf.io/8aq7b)
+[![Deps & CI](https://github.com/poldracklab/nitransforms/actions/workflows/travis.yml/badge.svg)](https://github.com/poldracklab/nitransforms/actions/workflows/travis.yml)
+[![CircleCI](https://circleci.com/gh/poldracklab/nitransforms.svg?style=svg)](https://circleci.com/gh/poldracklab/nitransforms)
+[![codecov](https://codecov.io/gh/poldracklab/nitransforms/branch/master/graph/badge.svg)](https://codecov.io/gh/poldracklab/nitransforms)
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/poldracklab/nitransforms/master?filepath=docs%2Fnotebooks%2F)
+[![Docs](https://readthedocs.org/projects/nitransforms/badge/?version=latest)](http://nitransforms.readthedocs.io/en/latest/?badge=latest)
+
+A development repo for [nipy/nibabel#656](https://github.com/nipy/nibabel/pull/656)
+
+## About
+Spatial transforms formalize mappings between coordinates of objects in biomedical images.
+Transforms typically are the outcome of image registration methodologies, which estimate
+the alignment between two images.
+Image registration is a prominent task present in nearly all standard image processing
+and analysis pipelines.
+The proliferation of software implementations of image registration methodologies has
+resulted in a spread of data structures and file formats used to preserve and communicate
+transforms.
+This segregation of formats precludes the compatibility between tools and endangers the
+reproducibility of results.
+We propose a software tool capable of converting between formats and resampling images
+to apply transforms generated by the most popular neuroimaging packages and libraries
+(AFNI, FSL, FreeSurfer, ITK, and SPM).
+The proposed software is subject to continuous integration tests to check the
+compatibility with each supported tool after every change to the code base.
+Compatibility between software tools and imaging formats is a necessary bridge
+to ensure the reproducibility of results and enable the optimization and evaluation
+of current image processing and analysis workflows.
+
+## Integration with *NiBabel*
+*NiTransforms* started as a feature-repo spun off of *NiBabel*.
+Shortly after starting with [nipy/nibabel#656](https://github.com/nipy/nibabel/pull/656), it became apparent that it was going to build up in a humongous PR nobody would be able to review as thoroughly as it would require.
+Also, *NiTransforms* has many connections to BIDS/BIDS-Derivatives and its X5 format specification for transforms, which falls outside of the current scope of *NiBabel*.
+
+The plan is to make it an isolated tool, and once it is pertinent, proceed with the integration into *NiBabel*.
+Once this repository is ready for integration, we will define what can go into *NiBabel* (presumably everything, except perhaps some final details of the X5 implementation, although *NiBabel* will support the data structure at least logically).
+This is to say that the chances that NiTransforms is integrated into NiBabel are high and scheduled to happen in ~2022 Q2.
+
+
+
+
+%package help
+Summary:	Development documents and examples for nitransforms
+Provides:	python3-nitransforms-doc
+%description help
+# NiTransforms
+[![DOI](https://joss.theoj.org/papers/10.21105/joss.03459/status.svg)](https://doi.org/10.21105/joss.03459)
+[![ISBI2020](https://img.shields.io/badge/doi-10.31219%2Fosf.io%2F8aq7b-blue.svg)](https://doi.org/10.31219/osf.io/8aq7b)
+[![Deps & CI](https://github.com/poldracklab/nitransforms/actions/workflows/travis.yml/badge.svg)](https://github.com/poldracklab/nitransforms/actions/workflows/travis.yml)
+[![CircleCI](https://circleci.com/gh/poldracklab/nitransforms.svg?style=svg)](https://circleci.com/gh/poldracklab/nitransforms)
+[![codecov](https://codecov.io/gh/poldracklab/nitransforms/branch/master/graph/badge.svg)](https://codecov.io/gh/poldracklab/nitransforms)
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/poldracklab/nitransforms/master?filepath=docs%2Fnotebooks%2F)
+[![Docs](https://readthedocs.org/projects/nitransforms/badge/?version=latest)](http://nitransforms.readthedocs.io/en/latest/?badge=latest)
+
+A development repo for [nipy/nibabel#656](https://github.com/nipy/nibabel/pull/656)
+
+## About
+Spatial transforms formalize mappings between coordinates of objects in biomedical images.
+Transforms typically are the outcome of image registration methodologies, which estimate
+the alignment between two images.
+Image registration is a prominent task present in nearly all standard image processing
+and analysis pipelines.
+The proliferation of software implementations of image registration methodologies has
+resulted in a spread of data structures and file formats used to preserve and communicate
+transforms.
+This segregation of formats precludes the compatibility between tools and endangers the
+reproducibility of results.
+We propose a software tool capable of converting between formats and resampling images
+to apply transforms generated by the most popular neuroimaging packages and libraries
+(AFNI, FSL, FreeSurfer, ITK, and SPM).
+The proposed software is subject to continuous integration tests to check the
+compatibility with each supported tool after every change to the code base.
+Compatibility between software tools and imaging formats is a necessary bridge
+to ensure the reproducibility of results and enable the optimization and evaluation
+of current image processing and analysis workflows.
+
+## Integration with *NiBabel*
+*NiTransforms* started as a feature-repo spun off of *NiBabel*.
+Shortly after starting with [nipy/nibabel#656](https://github.com/nipy/nibabel/pull/656), it became apparent that it was going to build up in a humongous PR nobody would be able to review as thoroughly as it would require.
+Also, *NiTransforms* has many connections to BIDS/BIDS-Derivatives and its X5 format specification for transforms, which falls outside of the current scope of *NiBabel*.
+
+The plan is to make it an isolated tool, and once it is pertinent, proceed with the integration into *NiBabel*.
+Once this repository is ready for integration, we will define what can go into *NiBabel* (presumably everything, except perhaps some final details of the X5 implementation, although *NiBabel* will support the data structure at least logically).
+This is to say that the chances that NiTransforms is integrated into NiBabel are high and scheduled to happen in ~2022 Q2.
+
+
+
+
+%prep
+%autosetup -n nitransforms-22.0.0
+
+%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-nitransforms -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 22.0.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..b59b2c9
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+9fcfe380e236dc7fb30c0f05d17cab87  nitransforms-22.0.0.tar.gz