automatic import of python-tfs-pandas

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+/tfs-pandas-3.7.0.tar.gz
diff --git a/python-tfs-pandas.spec b/python-tfs-pandas.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-tfs-pandas
+Version:	3.7.0
+Release:	1
+Summary:	Read and write tfs files.
+License:	MIT
+URL:		https://github.com/pylhc/tfs
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/25/58/31e92bed9554d146e658f88e4b27257f5bc2dd4954bf5aaa1f52a352258a/tfs-pandas-3.7.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-pandas
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+Requires:	python3-cpymad
+Requires:	python3-zstandard
+Requires:	python3-h5py
+Requires:	python3-tables
+Requires:	python3-sphinx
+Requires:	python3-sphinx-rtd-theme
+Requires:	python3-sphinx-copybutton
+Requires:	python3-sphinx-prompt
+Requires:	python3-sphinx-codeautolink
+Requires:	python3-sphinx
+Requires:	python3-sphinx-rtd-theme
+Requires:	python3-sphinx-copybutton
+Requires:	python3-sphinx-prompt
+Requires:	python3-sphinx-codeautolink
+Requires:	python3-h5py
+Requires:	python3-tables
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+Requires:	python3-cpymad
+Requires:	python3-zstandard
+Requires:	python3-h5py
+Requires:	python3-tables
+
+%description
+# TFS-Pandas
+
+[![Cron Testing](https://github.com/pylhc/tfs/workflows/Cron%20Testing/badge.svg)](https://github.com/pylhc/tfs/actions?query=workflow%3A%22Cron+Testing%22)
+[![Code Climate coverage](https://img.shields.io/codeclimate/coverage/pylhc/tfs.svg?style=popout)](https://codeclimate.com/github/pylhc/tfs)
+[![Code Climate maintainability (percentage)](https://img.shields.io/codeclimate/maintainability-percentage/pylhc/tfs.svg?style=popout)](https://codeclimate.com/github/pylhc/tfs)
+<!-- [![GitHub last commit](https://img.shields.io/github/last-commit/pylhc/tfs.svg?style=popout)](https://github.com/pylhc/tfs/) -->
+[![PyPI Version](https://img.shields.io/pypi/v/tfs-pandas?label=PyPI&logo=pypi)](https://pypi.org/project/tfs-pandas/)
+[![GitHub release](https://img.shields.io/github/v/release/pylhc/tfs?logo=github)](https://github.com/pylhc/tfs/)
+[![Conda-forge Version](https://img.shields.io/conda/vn/conda-forge/tfs-pandas?color=orange&logo=anaconda)](https://anaconda.org/conda-forge/tfs-pandas)
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5070986.svg)](https://doi.org/10.5281/zenodo.5070986)
+
+This package provides reading and writing functionality for [**Table Format System (TFS)** files](http://mad.web.cern.ch/mad/madx.old/Introduction/tfs.html). 
+Files are read into a `TfsDataFrame`, a class built on top of the famous `pandas.DataFrame`, which in addition to the normal behavior attaches an `OrderedDict` of headers to the `DataFrame`.
+
+See the [API documentation](https://pylhc.github.io/tfs/) for details.
+
+## Installing
+
+Installation is easily done via `pip`:
+```bash
+python -m pip install tfs-pandas
+```
+
+One can also install in a `conda`/`mamba` environment via the `conda-forge` channel with:
+```bash
+conda install -c conda-forge tfs-pandas
+```
+
+## Example Usage
+
+The package is imported as `tfs`, and exports top-level functions for reading and writing:
+```python
+import tfs
+
+# Loading a TFS file is simple
+data_frame = tfs.read("path_to_input.tfs", index="index_column")
+
+# You can access and modify the headers with the .headers attribute
+useful_variable = data_frame.headers["SOME_KEY"]
+data_frame.headers["NEW_KEY"] = some_variable
+
+# Manipulate data as you do with pandas DataFrames
+data_frame["NEWCOL"] = data_frame.COL_A * data_frame.COL_B
+
+# You can check the validity of a TfsDataFrame, and choose the behavior in case of errors
+tfs.frame.validate(data_frame, non_unique_behavior="raise")  # or choose "warn"
+
+# Writing out to disk is simple too
+tfs.write("path_to_output.tfs", data_frame, save_index="index_column")
+```
+
+Reading and writing compressed files is also supported, and done automatically based on the provided file extension:
+```python
+import tfs
+
+# Reading a compressed file is simple, compression format is inferred
+df = tfs.read("path_to_input.tfs.gz")
+
+# When writing choose the compression format by providing the appropriate file extension
+tfs.write("path_to_output.tfs.bz2", df)
+tfs.write("path_to_output.tfs.zip", df)
+```
+
+## License
+
+This project is licensed under the `MIT License` - see the [LICENSE](LICENSE) file for details.
+
+
+%package -n python3-tfs-pandas
+Summary:	Read and write tfs files.
+Provides:	python-tfs-pandas
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-tfs-pandas
+# TFS-Pandas
+
+[![Cron Testing](https://github.com/pylhc/tfs/workflows/Cron%20Testing/badge.svg)](https://github.com/pylhc/tfs/actions?query=workflow%3A%22Cron+Testing%22)
+[![Code Climate coverage](https://img.shields.io/codeclimate/coverage/pylhc/tfs.svg?style=popout)](https://codeclimate.com/github/pylhc/tfs)
+[![Code Climate maintainability (percentage)](https://img.shields.io/codeclimate/maintainability-percentage/pylhc/tfs.svg?style=popout)](https://codeclimate.com/github/pylhc/tfs)
+<!-- [![GitHub last commit](https://img.shields.io/github/last-commit/pylhc/tfs.svg?style=popout)](https://github.com/pylhc/tfs/) -->
+[![PyPI Version](https://img.shields.io/pypi/v/tfs-pandas?label=PyPI&logo=pypi)](https://pypi.org/project/tfs-pandas/)
+[![GitHub release](https://img.shields.io/github/v/release/pylhc/tfs?logo=github)](https://github.com/pylhc/tfs/)
+[![Conda-forge Version](https://img.shields.io/conda/vn/conda-forge/tfs-pandas?color=orange&logo=anaconda)](https://anaconda.org/conda-forge/tfs-pandas)
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5070986.svg)](https://doi.org/10.5281/zenodo.5070986)
+
+This package provides reading and writing functionality for [**Table Format System (TFS)** files](http://mad.web.cern.ch/mad/madx.old/Introduction/tfs.html). 
+Files are read into a `TfsDataFrame`, a class built on top of the famous `pandas.DataFrame`, which in addition to the normal behavior attaches an `OrderedDict` of headers to the `DataFrame`.
+
+See the [API documentation](https://pylhc.github.io/tfs/) for details.
+
+## Installing
+
+Installation is easily done via `pip`:
+```bash
+python -m pip install tfs-pandas
+```
+
+One can also install in a `conda`/`mamba` environment via the `conda-forge` channel with:
+```bash
+conda install -c conda-forge tfs-pandas
+```
+
+## Example Usage
+
+The package is imported as `tfs`, and exports top-level functions for reading and writing:
+```python
+import tfs
+
+# Loading a TFS file is simple
+data_frame = tfs.read("path_to_input.tfs", index="index_column")
+
+# You can access and modify the headers with the .headers attribute
+useful_variable = data_frame.headers["SOME_KEY"]
+data_frame.headers["NEW_KEY"] = some_variable
+
+# Manipulate data as you do with pandas DataFrames
+data_frame["NEWCOL"] = data_frame.COL_A * data_frame.COL_B
+
+# You can check the validity of a TfsDataFrame, and choose the behavior in case of errors
+tfs.frame.validate(data_frame, non_unique_behavior="raise")  # or choose "warn"
+
+# Writing out to disk is simple too
+tfs.write("path_to_output.tfs", data_frame, save_index="index_column")
+```
+
+Reading and writing compressed files is also supported, and done automatically based on the provided file extension:
+```python
+import tfs
+
+# Reading a compressed file is simple, compression format is inferred
+df = tfs.read("path_to_input.tfs.gz")
+
+# When writing choose the compression format by providing the appropriate file extension
+tfs.write("path_to_output.tfs.bz2", df)
+tfs.write("path_to_output.tfs.zip", df)
+```
+
+## License
+
+This project is licensed under the `MIT License` - see the [LICENSE](LICENSE) file for details.
+
+
+%package help
+Summary:	Development documents and examples for tfs-pandas
+Provides:	python3-tfs-pandas-doc
+%description help
+# TFS-Pandas
+
+[![Cron Testing](https://github.com/pylhc/tfs/workflows/Cron%20Testing/badge.svg)](https://github.com/pylhc/tfs/actions?query=workflow%3A%22Cron+Testing%22)
+[![Code Climate coverage](https://img.shields.io/codeclimate/coverage/pylhc/tfs.svg?style=popout)](https://codeclimate.com/github/pylhc/tfs)
+[![Code Climate maintainability (percentage)](https://img.shields.io/codeclimate/maintainability-percentage/pylhc/tfs.svg?style=popout)](https://codeclimate.com/github/pylhc/tfs)
+<!-- [![GitHub last commit](https://img.shields.io/github/last-commit/pylhc/tfs.svg?style=popout)](https://github.com/pylhc/tfs/) -->
+[![PyPI Version](https://img.shields.io/pypi/v/tfs-pandas?label=PyPI&logo=pypi)](https://pypi.org/project/tfs-pandas/)
+[![GitHub release](https://img.shields.io/github/v/release/pylhc/tfs?logo=github)](https://github.com/pylhc/tfs/)
+[![Conda-forge Version](https://img.shields.io/conda/vn/conda-forge/tfs-pandas?color=orange&logo=anaconda)](https://anaconda.org/conda-forge/tfs-pandas)
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5070986.svg)](https://doi.org/10.5281/zenodo.5070986)
+
+This package provides reading and writing functionality for [**Table Format System (TFS)** files](http://mad.web.cern.ch/mad/madx.old/Introduction/tfs.html). 
+Files are read into a `TfsDataFrame`, a class built on top of the famous `pandas.DataFrame`, which in addition to the normal behavior attaches an `OrderedDict` of headers to the `DataFrame`.
+
+See the [API documentation](https://pylhc.github.io/tfs/) for details.
+
+## Installing
+
+Installation is easily done via `pip`:
+```bash
+python -m pip install tfs-pandas
+```
+
+One can also install in a `conda`/`mamba` environment via the `conda-forge` channel with:
+```bash
+conda install -c conda-forge tfs-pandas
+```
+
+## Example Usage
+
+The package is imported as `tfs`, and exports top-level functions for reading and writing:
+```python
+import tfs
+
+# Loading a TFS file is simple
+data_frame = tfs.read("path_to_input.tfs", index="index_column")
+
+# You can access and modify the headers with the .headers attribute
+useful_variable = data_frame.headers["SOME_KEY"]
+data_frame.headers["NEW_KEY"] = some_variable
+
+# Manipulate data as you do with pandas DataFrames
+data_frame["NEWCOL"] = data_frame.COL_A * data_frame.COL_B
+
+# You can check the validity of a TfsDataFrame, and choose the behavior in case of errors
+tfs.frame.validate(data_frame, non_unique_behavior="raise")  # or choose "warn"
+
+# Writing out to disk is simple too
+tfs.write("path_to_output.tfs", data_frame, save_index="index_column")
+```
+
+Reading and writing compressed files is also supported, and done automatically based on the provided file extension:
+```python
+import tfs
+
+# Reading a compressed file is simple, compression format is inferred
+df = tfs.read("path_to_input.tfs.gz")
+
+# When writing choose the compression format by providing the appropriate file extension
+tfs.write("path_to_output.tfs.bz2", df)
+tfs.write("path_to_output.tfs.zip", df)
+```
+
+## License
+
+This project is licensed under the `MIT License` - see the [LICENSE](LICENSE) file for details.
+
+
+%prep
+%autosetup -n tfs-pandas-3.7.0
+
+%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-tfs-pandas -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Thu May 18 2023 Python_Bot <Python_Bot@openeuler.org> - 3.7.0-1
+- Package Spec generated
diff --git a/sources b/sources
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+++ b/sources
@@ -0,0 +1 @@
+7dd05a358df076b9830c463da8b0ac32  tfs-pandas-3.7.0.tar.gz