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+%global _empty_manifest_terminate_build 0
+Name:		python-pitchplots
+Version:	1.4.2
+Release:	1
+Summary:	A package containing representation tools for musical purposes
+License:	MIT License
+URL:		https://github.com/DCMLab/pitchplots
+Source0:	https://mirrors.aliyun.com/pypi/web/packages/1e/a4/6e04a2ec0d04473702e3f37c3d850b0056d0ed70ca0f5b9a61d3b368712a/pitchplots-1.4.2.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-matplotlib
+Requires:	python3-pandas
+Requires:	python3-numpy
+
+%description
+# pitchplots
+
+library plotting charts for different tonal representations
+
+## Getting Started
+
+The program consist in the following files: functions.py, reader.py, modified_musicxml_parser.py, parser.py and static.py 
+
+### Prerequisites
+
+What things you need to install the software and how to install them
+
+```
+You will need python on your computer and the following libaries: matplotlib, pandas and numpy
+```
+
+note that if you are using anaconda, these libraries are already installed
+
+### Installing
+
+You can download the pitchplots package on pypi with pip using the following command in the prompt:
+
+```
+python3 -m pip install pitchplots
+```
+
+or if you're using anaconda prompt
+
+```
+pip install pitchplots
+```
+
+## Running the tests
+
+you can first try to parse xml/musicScore xml files to csv or DataFrame, that is the Gymnopédie from Sati with:
+
+```python
+import pitchplots.parser as ppp
+
+# If no filepath is specified, will automatically charge data_example.mxl
+df_data_example = ppp.xml_to_csv(save_csv=True)
+```
+
+then you can try the static module by passing csv files or Dataframe:
+
+```
+import pitchplots.static as pps
+
+pps.tonnetz(df_data_example)
+```
+or
+```
+import pitchplots.static as pps
+
+pps.circle('csv/data_example.csv')
+```
+
+to try the dynamic videos:
+```
+import pitchplots.dynamic as ppd
+
+ppd.tonnetz_animation(df_data_example)
+```
+
+## Authors
+
+* **Timothy Loayza**, **Fabian Moss**
+
+## Use of magenta's code
+
+The [modified_musicxml_parser.py](modified_musicxml_parser.py) file is taken from the [magenta](https://github.com/tensorflow/magenta) project and has been modified. Therefore the modifications are listed in the [magenta_musicxml_code_modifications.md](magenta_musicxml_code_modifications.md) file and there is the [magenta_LICENSE.md](magenta_LICENSE.md).
+
+## License
+
+This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details
+
+
+
+
+%package -n python3-pitchplots
+Summary:	A package containing representation tools for musical purposes
+Provides:	python-pitchplots
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-pitchplots
+# pitchplots
+
+library plotting charts for different tonal representations
+
+## Getting Started
+
+The program consist in the following files: functions.py, reader.py, modified_musicxml_parser.py, parser.py and static.py 
+
+### Prerequisites
+
+What things you need to install the software and how to install them
+
+```
+You will need python on your computer and the following libaries: matplotlib, pandas and numpy
+```
+
+note that if you are using anaconda, these libraries are already installed
+
+### Installing
+
+You can download the pitchplots package on pypi with pip using the following command in the prompt:
+
+```
+python3 -m pip install pitchplots
+```
+
+or if you're using anaconda prompt
+
+```
+pip install pitchplots
+```
+
+## Running the tests
+
+you can first try to parse xml/musicScore xml files to csv or DataFrame, that is the Gymnopédie from Sati with:
+
+```python
+import pitchplots.parser as ppp
+
+# If no filepath is specified, will automatically charge data_example.mxl
+df_data_example = ppp.xml_to_csv(save_csv=True)
+```
+
+then you can try the static module by passing csv files or Dataframe:
+
+```
+import pitchplots.static as pps
+
+pps.tonnetz(df_data_example)
+```
+or
+```
+import pitchplots.static as pps
+
+pps.circle('csv/data_example.csv')
+```
+
+to try the dynamic videos:
+```
+import pitchplots.dynamic as ppd
+
+ppd.tonnetz_animation(df_data_example)
+```
+
+## Authors
+
+* **Timothy Loayza**, **Fabian Moss**
+
+## Use of magenta's code
+
+The [modified_musicxml_parser.py](modified_musicxml_parser.py) file is taken from the [magenta](https://github.com/tensorflow/magenta) project and has been modified. Therefore the modifications are listed in the [magenta_musicxml_code_modifications.md](magenta_musicxml_code_modifications.md) file and there is the [magenta_LICENSE.md](magenta_LICENSE.md).
+
+## License
+
+This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details
+
+
+
+
+%package help
+Summary:	Development documents and examples for pitchplots
+Provides:	python3-pitchplots-doc
+%description help
+# pitchplots
+
+library plotting charts for different tonal representations
+
+## Getting Started
+
+The program consist in the following files: functions.py, reader.py, modified_musicxml_parser.py, parser.py and static.py 
+
+### Prerequisites
+
+What things you need to install the software and how to install them
+
+```
+You will need python on your computer and the following libaries: matplotlib, pandas and numpy
+```
+
+note that if you are using anaconda, these libraries are already installed
+
+### Installing
+
+You can download the pitchplots package on pypi with pip using the following command in the prompt:
+
+```
+python3 -m pip install pitchplots
+```
+
+or if you're using anaconda prompt
+
+```
+pip install pitchplots
+```
+
+## Running the tests
+
+you can first try to parse xml/musicScore xml files to csv or DataFrame, that is the Gymnopédie from Sati with:
+
+```python
+import pitchplots.parser as ppp
+
+# If no filepath is specified, will automatically charge data_example.mxl
+df_data_example = ppp.xml_to_csv(save_csv=True)
+```
+
+then you can try the static module by passing csv files or Dataframe:
+
+```
+import pitchplots.static as pps
+
+pps.tonnetz(df_data_example)
+```
+or
+```
+import pitchplots.static as pps
+
+pps.circle('csv/data_example.csv')
+```
+
+to try the dynamic videos:
+```
+import pitchplots.dynamic as ppd
+
+ppd.tonnetz_animation(df_data_example)
+```
+
+## Authors
+
+* **Timothy Loayza**, **Fabian Moss**
+
+## Use of magenta's code
+
+The [modified_musicxml_parser.py](modified_musicxml_parser.py) file is taken from the [magenta](https://github.com/tensorflow/magenta) project and has been modified. Therefore the modifications are listed in the [magenta_musicxml_code_modifications.md](magenta_musicxml_code_modifications.md) file and there is the [magenta_LICENSE.md](magenta_LICENSE.md).
+
+## License
+
+This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details
+
+
+
+
+%prep
+%autosetup -n pitchplots-1.4.2
+
+%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-pitchplots -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 1.4.2-1
+- Package Spec generated