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+%global _empty_manifest_terminate_build 0
+Name:		python-dash-bio
+Version:	1.0.2
+Release:	1
+Summary:	Dash components for bioinformatics
+License:	MIT License
+URL:		http://github.com/plotly/dash-bio
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/7e/eb/5f12d4b0b91974e2457aaf344230010488453edadffb9e5c241eb9f02d34/dash_bio-1.0.2.tar.gz
+BuildArch:	noarch
+
+
+%description
+# Dash Bio
+[![CircleCI](https://circleci.com/gh/plotly/dash-bio/tree/master.svg?style=svg)](https://circleci.com/gh/plotly/dash-bio)
+[![PyPI version](https://badge.fury.io/py/dash-bio.svg)](https://badge.fury.io/py/dash-bio)
+
+Dash Bio is a suite of bioinformatics components built to work with
+[Dash](https://github.com/plotly/dash/).
+
+Announcement: https://medium.com/@plotlygraphs/announcing-dash-bio-ed8835d5da0c
+
+Demo:
+[https://dash-gallery.plotly.host/Portal/?search=Bioinformatics](https://dash-gallery.plotly.host/Portal/?search=Bioinformatics)
+
+Documentation:
+[https://dash.plotly.com/dash-bio](https://dash.plotly.com/dash-bio)
+
+## Components
+
+The Dash Bio components each fall into one of three categories:
+
+- Custom chart types
+- Sequence analysis tools
+- 3D rendering tools
+
+
+### Custom chart types
+
+- Dash Circos
+- Dash Clustergram
+- Dash Manhattan Plot
+- Dash Needle Plot
+- Dash Volcano Plot
+
+### Sequence analysis tools
+
+- Dash Alignment Chart
+- Dash Onco Print
+- Dash Forna Container
+- Dash Sequence Viewer
+
+### Visualization tools
+
+- Dash Mol2D
+- Dash Mol3D
+- Dash Speck
+- Dash Ngl
+
+
+## Using Dash Bio
+
+It's easy to add a fully interactive chromosomal, molecular or genomic visualization to your Dash app by simply
+including the Dash Bio component into your app layout as follows:
+
+```python
+import urllib.request as urlreq
+from dash import Dash, html
+import dash_bio as dashbio
+
+app = Dash(__name__)
+
+data = urlreq.urlopen(
+    'https://raw.githubusercontent.com/plotly/dash-bio-docs-files/master/alignment_viewer_p53.fasta'
+).read().decode('utf-8')
+
+app.layout = html.Div([
+    dashbio.AlignmentChart(
+        id='my-default-alignment-viewer',
+        data=data
+    )
+])
+
+if __name__ == '__main__':
+    app.run_server(debug=True)
+```
+
+See the [Dash Bio documentation](https://dash.plotly.com/dash-bio) for more components and examples.
+
+
+## Run Dash Bio in a JupyterLab environment
+
+1. Create a virtual environment:
+
+    The following steps require a virtual environment tool to be installed on your computer: `pip install virtualenv`
+
+    a. On macOS and Linux: `python3 -m venv env`
+
+    b. On Windows, enter: `py -m venv env`
+
+2. Activate your new environment:
+
+    a. On macOS and Linux, enter: `source env/bin/activate`
+
+    b. On Windows, enter: `.\env\Scripts\activate`
+
+3. Install required libraries (make sure you have pip installed with `pip help`):
+```
+pip install dash dash-bio pandas numpy Jupyterlab
+```
+
+4. To run Dash inside Jupyter lab:
+
+    a. Install jupyter-dash:  `pip install jupyter-dash`
+
+    b. Enter `jupyter lab build`
+
+    (Note: This step requires Node.js and NPM installed on yourcomputer. To check if Node and NPM are installed, enter `node -v` and `npm -v` in your terminal. For install instructions see [nodejs.org](https://nodejs.org/en/).
+
+5. To display Plotly figures in JupyterLab:
+```
+pip install jupyterlab "ipywidgets>=7.5”
+jupyter labextension install jupyterlab-plotly@4.14.3
+```
+
+6. Start JupyterLab by typing: `jupyter lab`
+
+    Important: JupyterLab must be run within the virtual environment that was previously activated.
+
+
+For more on running a Dash app in Jupyter Lab visit [Getting Started with Jupyter Dash](https://github.com/plotly/jupyter-dash/blob/master/notebooks/getting_started.ipynb).
+
+## Dash
+
+Learn more about Dash at
+[https://plotly.com/products/dash/](https://plotly.com/products/dash/).
+
+## Consulting and OEM
+
+For inquiries about Dash app development, advanced OEM integration,
+and more, please [reach
+out](https://plotly.typeform.com/to/mH1Cpb).
+
+## Contributing and Local Development
+
+If you would like to contribute to this repository, or run demo apps and tests, please refer to
+the [contributing
+guidelines](https://github.com/plotly/dash-bio/blob/master/CONTRIBUTING.md).
+
+
+
+
+%package -n python3-dash-bio
+Summary:	Dash components for bioinformatics
+Provides:	python-dash-bio
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-dash-bio
+# Dash Bio
+[![CircleCI](https://circleci.com/gh/plotly/dash-bio/tree/master.svg?style=svg)](https://circleci.com/gh/plotly/dash-bio)
+[![PyPI version](https://badge.fury.io/py/dash-bio.svg)](https://badge.fury.io/py/dash-bio)
+
+Dash Bio is a suite of bioinformatics components built to work with
+[Dash](https://github.com/plotly/dash/).
+
+Announcement: https://medium.com/@plotlygraphs/announcing-dash-bio-ed8835d5da0c
+
+Demo:
+[https://dash-gallery.plotly.host/Portal/?search=Bioinformatics](https://dash-gallery.plotly.host/Portal/?search=Bioinformatics)
+
+Documentation:
+[https://dash.plotly.com/dash-bio](https://dash.plotly.com/dash-bio)
+
+## Components
+
+The Dash Bio components each fall into one of three categories:
+
+- Custom chart types
+- Sequence analysis tools
+- 3D rendering tools
+
+
+### Custom chart types
+
+- Dash Circos
+- Dash Clustergram
+- Dash Manhattan Plot
+- Dash Needle Plot
+- Dash Volcano Plot
+
+### Sequence analysis tools
+
+- Dash Alignment Chart
+- Dash Onco Print
+- Dash Forna Container
+- Dash Sequence Viewer
+
+### Visualization tools
+
+- Dash Mol2D
+- Dash Mol3D
+- Dash Speck
+- Dash Ngl
+
+
+## Using Dash Bio
+
+It's easy to add a fully interactive chromosomal, molecular or genomic visualization to your Dash app by simply
+including the Dash Bio component into your app layout as follows:
+
+```python
+import urllib.request as urlreq
+from dash import Dash, html
+import dash_bio as dashbio
+
+app = Dash(__name__)
+
+data = urlreq.urlopen(
+    'https://raw.githubusercontent.com/plotly/dash-bio-docs-files/master/alignment_viewer_p53.fasta'
+).read().decode('utf-8')
+
+app.layout = html.Div([
+    dashbio.AlignmentChart(
+        id='my-default-alignment-viewer',
+        data=data
+    )
+])
+
+if __name__ == '__main__':
+    app.run_server(debug=True)
+```
+
+See the [Dash Bio documentation](https://dash.plotly.com/dash-bio) for more components and examples.
+
+
+## Run Dash Bio in a JupyterLab environment
+
+1. Create a virtual environment:
+
+    The following steps require a virtual environment tool to be installed on your computer: `pip install virtualenv`
+
+    a. On macOS and Linux: `python3 -m venv env`
+
+    b. On Windows, enter: `py -m venv env`
+
+2. Activate your new environment:
+
+    a. On macOS and Linux, enter: `source env/bin/activate`
+
+    b. On Windows, enter: `.\env\Scripts\activate`
+
+3. Install required libraries (make sure you have pip installed with `pip help`):
+```
+pip install dash dash-bio pandas numpy Jupyterlab
+```
+
+4. To run Dash inside Jupyter lab:
+
+    a. Install jupyter-dash:  `pip install jupyter-dash`
+
+    b. Enter `jupyter lab build`
+
+    (Note: This step requires Node.js and NPM installed on yourcomputer. To check if Node and NPM are installed, enter `node -v` and `npm -v` in your terminal. For install instructions see [nodejs.org](https://nodejs.org/en/).
+
+5. To display Plotly figures in JupyterLab:
+```
+pip install jupyterlab "ipywidgets>=7.5”
+jupyter labextension install jupyterlab-plotly@4.14.3
+```
+
+6. Start JupyterLab by typing: `jupyter lab`
+
+    Important: JupyterLab must be run within the virtual environment that was previously activated.
+
+
+For more on running a Dash app in Jupyter Lab visit [Getting Started with Jupyter Dash](https://github.com/plotly/jupyter-dash/blob/master/notebooks/getting_started.ipynb).
+
+## Dash
+
+Learn more about Dash at
+[https://plotly.com/products/dash/](https://plotly.com/products/dash/).
+
+## Consulting and OEM
+
+For inquiries about Dash app development, advanced OEM integration,
+and more, please [reach
+out](https://plotly.typeform.com/to/mH1Cpb).
+
+## Contributing and Local Development
+
+If you would like to contribute to this repository, or run demo apps and tests, please refer to
+the [contributing
+guidelines](https://github.com/plotly/dash-bio/blob/master/CONTRIBUTING.md).
+
+
+
+
+%package help
+Summary:	Development documents and examples for dash-bio
+Provides:	python3-dash-bio-doc
+%description help
+# Dash Bio
+[![CircleCI](https://circleci.com/gh/plotly/dash-bio/tree/master.svg?style=svg)](https://circleci.com/gh/plotly/dash-bio)
+[![PyPI version](https://badge.fury.io/py/dash-bio.svg)](https://badge.fury.io/py/dash-bio)
+
+Dash Bio is a suite of bioinformatics components built to work with
+[Dash](https://github.com/plotly/dash/).
+
+Announcement: https://medium.com/@plotlygraphs/announcing-dash-bio-ed8835d5da0c
+
+Demo:
+[https://dash-gallery.plotly.host/Portal/?search=Bioinformatics](https://dash-gallery.plotly.host/Portal/?search=Bioinformatics)
+
+Documentation:
+[https://dash.plotly.com/dash-bio](https://dash.plotly.com/dash-bio)
+
+## Components
+
+The Dash Bio components each fall into one of three categories:
+
+- Custom chart types
+- Sequence analysis tools
+- 3D rendering tools
+
+
+### Custom chart types
+
+- Dash Circos
+- Dash Clustergram
+- Dash Manhattan Plot
+- Dash Needle Plot
+- Dash Volcano Plot
+
+### Sequence analysis tools
+
+- Dash Alignment Chart
+- Dash Onco Print
+- Dash Forna Container
+- Dash Sequence Viewer
+
+### Visualization tools
+
+- Dash Mol2D
+- Dash Mol3D
+- Dash Speck
+- Dash Ngl
+
+
+## Using Dash Bio
+
+It's easy to add a fully interactive chromosomal, molecular or genomic visualization to your Dash app by simply
+including the Dash Bio component into your app layout as follows:
+
+```python
+import urllib.request as urlreq
+from dash import Dash, html
+import dash_bio as dashbio
+
+app = Dash(__name__)
+
+data = urlreq.urlopen(
+    'https://raw.githubusercontent.com/plotly/dash-bio-docs-files/master/alignment_viewer_p53.fasta'
+).read().decode('utf-8')
+
+app.layout = html.Div([
+    dashbio.AlignmentChart(
+        id='my-default-alignment-viewer',
+        data=data
+    )
+])
+
+if __name__ == '__main__':
+    app.run_server(debug=True)
+```
+
+See the [Dash Bio documentation](https://dash.plotly.com/dash-bio) for more components and examples.
+
+
+## Run Dash Bio in a JupyterLab environment
+
+1. Create a virtual environment:
+
+    The following steps require a virtual environment tool to be installed on your computer: `pip install virtualenv`
+
+    a. On macOS and Linux: `python3 -m venv env`
+
+    b. On Windows, enter: `py -m venv env`
+
+2. Activate your new environment:
+
+    a. On macOS and Linux, enter: `source env/bin/activate`
+
+    b. On Windows, enter: `.\env\Scripts\activate`
+
+3. Install required libraries (make sure you have pip installed with `pip help`):
+```
+pip install dash dash-bio pandas numpy Jupyterlab
+```
+
+4. To run Dash inside Jupyter lab:
+
+    a. Install jupyter-dash:  `pip install jupyter-dash`
+
+    b. Enter `jupyter lab build`
+
+    (Note: This step requires Node.js and NPM installed on yourcomputer. To check if Node and NPM are installed, enter `node -v` and `npm -v` in your terminal. For install instructions see [nodejs.org](https://nodejs.org/en/).
+
+5. To display Plotly figures in JupyterLab:
+```
+pip install jupyterlab "ipywidgets>=7.5”
+jupyter labextension install jupyterlab-plotly@4.14.3
+```
+
+6. Start JupyterLab by typing: `jupyter lab`
+
+    Important: JupyterLab must be run within the virtual environment that was previously activated.
+
+
+For more on running a Dash app in Jupyter Lab visit [Getting Started with Jupyter Dash](https://github.com/plotly/jupyter-dash/blob/master/notebooks/getting_started.ipynb).
+
+## Dash
+
+Learn more about Dash at
+[https://plotly.com/products/dash/](https://plotly.com/products/dash/).
+
+## Consulting and OEM
+
+For inquiries about Dash app development, advanced OEM integration,
+and more, please [reach
+out](https://plotly.typeform.com/to/mH1Cpb).
+
+## Contributing and Local Development
+
+If you would like to contribute to this repository, or run demo apps and tests, please refer to
+the [contributing
+guidelines](https://github.com/plotly/dash-bio/blob/master/CONTRIBUTING.md).
+
+
+
+
+%prep
+%autosetup -n dash-bio-1.0.2
+
+%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-dash-bio -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.2-1
+- Package Spec generated