automatic import of python-drawdata

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diff --git a/.gitignore b/.gitignore
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+/drawdata-0.2.0.tar.gz
diff --git a/python-drawdata.spec b/python-drawdata.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-drawdata
+Version:	0.2.0
+Release:	1
+Summary:	draw a dataset from inside jupyter
+License:	MIT License
+URL:		https://pypi.org/project/drawdata/
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/d5/ed/f0d354e256126384fc1dd9e8ac9ac7a42423c466b7920d17f5eb269075b0/drawdata-0.2.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-jupyter
+Requires:	python3-ipython
+
+%description
+<img src="logo.png" width=125 height=125 align="right">
+
+# drawdata 
+
+This small python app allows you to draw a dataset in a jupyter
+notebook. This should be very useful when teaching machine learning algorithms.
+
+![](gif.gif)
+
+You can get the same tooling from going to [drawdata.xyz](https://drawdata.xyz)
+but with this library you'll also be able to use it from within jupyter. This will save you a precious tab in the browser.
+
+## Installation 
+
+Installation occurs via pip. 
+
+```
+python -m pip install drawdata
+```
+
+To read the data, `pandas` is useful:
+
+```
+python -m pip install pandas
+```
+
+## Usage 
+
+When you run this from jupyter, you should load in an iframe.
+
+```python
+from drawdata import draw_scatter
+
+draw_scatter()
+```
+
+Once you're done drawing you can copy the data to the clipboard. After this you can use pandas to read the clipboard to get your drawn data into a dataframe.
+
+```python
+import pandas as pd 
+pd.read_clipboard(sep=",")
+```
+
+
+
+
+%package -n python3-drawdata
+Summary:	draw a dataset from inside jupyter
+Provides:	python-drawdata
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-drawdata
+<img src="logo.png" width=125 height=125 align="right">
+
+# drawdata 
+
+This small python app allows you to draw a dataset in a jupyter
+notebook. This should be very useful when teaching machine learning algorithms.
+
+![](gif.gif)
+
+You can get the same tooling from going to [drawdata.xyz](https://drawdata.xyz)
+but with this library you'll also be able to use it from within jupyter. This will save you a precious tab in the browser.
+
+## Installation 
+
+Installation occurs via pip. 
+
+```
+python -m pip install drawdata
+```
+
+To read the data, `pandas` is useful:
+
+```
+python -m pip install pandas
+```
+
+## Usage 
+
+When you run this from jupyter, you should load in an iframe.
+
+```python
+from drawdata import draw_scatter
+
+draw_scatter()
+```
+
+Once you're done drawing you can copy the data to the clipboard. After this you can use pandas to read the clipboard to get your drawn data into a dataframe.
+
+```python
+import pandas as pd 
+pd.read_clipboard(sep=",")
+```
+
+
+
+
+%package help
+Summary:	Development documents and examples for drawdata
+Provides:	python3-drawdata-doc
+%description help
+<img src="logo.png" width=125 height=125 align="right">
+
+# drawdata 
+
+This small python app allows you to draw a dataset in a jupyter
+notebook. This should be very useful when teaching machine learning algorithms.
+
+![](gif.gif)
+
+You can get the same tooling from going to [drawdata.xyz](https://drawdata.xyz)
+but with this library you'll also be able to use it from within jupyter. This will save you a precious tab in the browser.
+
+## Installation 
+
+Installation occurs via pip. 
+
+```
+python -m pip install drawdata
+```
+
+To read the data, `pandas` is useful:
+
+```
+python -m pip install pandas
+```
+
+## Usage 
+
+When you run this from jupyter, you should load in an iframe.
+
+```python
+from drawdata import draw_scatter
+
+draw_scatter()
+```
+
+Once you're done drawing you can copy the data to the clipboard. After this you can use pandas to read the clipboard to get your drawn data into a dataframe.
+
+```python
+import pandas as pd 
+pd.read_clipboard(sep=",")
+```
+
+
+
+
+%prep
+%autosetup -n drawdata-0.2.0
+
+%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-drawdata -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..893d043
--- /dev/null
+++ b/sources
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+be1086848ace0af3ad85f05cfbe6f9da  drawdata-0.2.0.tar.gz