automatic import of python-jupyter-plotly-dash

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+/jupyter-plotly-dash-0.4.3.tar.gz
diff --git a/python-jupyter-plotly-dash.spec b/python-jupyter-plotly-dash.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-jupyter-plotly-dash
+Version:	0.4.3
+Release:	1
+Summary:	Interactive Jupyter use of plotly dash apps
+License:	MIT
+URL:		https://github.com/GibbsConsulting/jupyter-plotly-dash
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/70/9c/020dd6bad01e4ecbdcdb1c92af68b831774cb06f2276f892bc3cb358278b/jupyter-plotly-dash-0.4.3.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-aiohttp
+Requires:	python3-django-bootstrap4
+Requires:	python3-django-plotly-dash
+Requires:	python3-dpd-components
+Requires:	python3-dpd-static-support
+Requires:	python3-jupyter
+Requires:	python3-nbserverproxy
+
+%description
+# jupyter-plotly-dash
+
+[![PyPI version](https://badge.fury.io/py/jupyter-plotly-dash.svg)](https://badge.fury.io/py/jupyter-plotly-dash)
+[![Downloads](https://img.shields.io/pypi/dw/jupyter-plotly-dash.svg)](https://img.shields.io/pypi/dw/jupyter-plotly-dash.svg)
+![Develop Branch Build Status](https://travis-ci.org/GibbsConsulting/jupyter-plotly-dash.svg?branch=master)
+[![Coverage Status](https://coveralls.io/repos/github/GibbsConsulting/jupyter-plotly-dash/badge.svg?branch=master)](https://coveralls.io/github/GibbsConsulting/jupyter-plotly-dash?branch=master)
+[![Documentation Status](https://readthedocs.org/projects/jupyter-plotly-dash/badge/?version=latest)](https://jupyter-plotly-dash.readthedocs.io/en/latest/?badge=latest)
+
+Allow use of [plotly dash](https://plot.ly/products/dash/) applications within Jupyter notebooks, with the management of both session and internal state.
+
+See the source for this project here:
+<https://github.com/GibbsConsulting/jupyter-plotly-dash>
+
+Try me here in your browser: [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/GibbsConsulting/jupyter-plotly-dash/master)
+
+More detailed information
+can be found in the online documentation at
+<https://readthedocs.org/projects/jupyter-plotly-dash>
+
+## Installation
+
+Install the package. Use of a `virtualenv` environment is strongly recommended.
+
+    pip install jupyter_plotly_dash
+
+Now the package is installed, it can be used within a Jupyter notebook.
+
+## Simple use
+
+After installation, launch a python Jupyter notebook server using `jupyter notebook` or `jupyter lab` as desired. Create a `Dash` application, using
+the `JupyterDash` class instead of `dash.Dash` for the application, and copy the following into a code cell and evaluate it.
+
+```python
+from jupyter_plotly_dash import JupyterDash
+
+import dash
+import dash_core_components as dcc
+import dash_html_components as html
+from dash.dependencies import Input, Output
+
+app = JupyterDash('SimpleExample')
+
+app.layout = html.Div([
+    dcc.RadioItems(
+        id='dropdown-color',
+        options=[{'label': c, 'value': c.lower()}
+                 for c in ['Red', 'Green', 'Blue']],
+        value='red'
+    ),
+    html.Div(id='output-color'),
+    dcc.RadioItems(
+        id='dropdown-size',
+        options=[{'label': i, 'value': j}
+                 for i, j in [('L','large'), ('M','medium'), ('S','small')]],
+        value='medium'
+    ),
+    html.Div(id='output-size')
+
+])
+
+@app.callback(
+    dash.dependencies.Output('output-color', 'children'),
+    [dash.dependencies.Input('dropdown-color', 'value')])
+def callback_color(dropdown_value):
+    return "The selected color is %s." % dropdown_value
+
+@app.callback(
+    dash.dependencies.Output('output-size', 'children'),
+    [dash.dependencies.Input('dropdown-color', 'value'),
+     dash.dependencies.Input('dropdown-size', 'value')])
+def callback_size(dropdown_color, dropdown_size):
+    return "The chosen T-shirt is a %s %s one." %(dropdown_size,
+                                                  dropdown_color)
+
+app
+```
+
+The last line causes the dash application to be rendered. All callbacks are invoked asynchronously, so the display of an
+application does not prevent other notebook cells from being evaluated. Multiple instances of the same dash application
+can be rendered at the same time within a single notebook.
+
+## Binder use
+
+To launch a binder
+image, visit [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/GibbsConsulting/jupyter-plotly-dash/master) to
+run Jupyter notebooks using the latest version on the master branch of the main repository.
+
+
+
+
+%package -n python3-jupyter-plotly-dash
+Summary:	Interactive Jupyter use of plotly dash apps
+Provides:	python-jupyter-plotly-dash
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-jupyter-plotly-dash
+# jupyter-plotly-dash
+
+[![PyPI version](https://badge.fury.io/py/jupyter-plotly-dash.svg)](https://badge.fury.io/py/jupyter-plotly-dash)
+[![Downloads](https://img.shields.io/pypi/dw/jupyter-plotly-dash.svg)](https://img.shields.io/pypi/dw/jupyter-plotly-dash.svg)
+![Develop Branch Build Status](https://travis-ci.org/GibbsConsulting/jupyter-plotly-dash.svg?branch=master)
+[![Coverage Status](https://coveralls.io/repos/github/GibbsConsulting/jupyter-plotly-dash/badge.svg?branch=master)](https://coveralls.io/github/GibbsConsulting/jupyter-plotly-dash?branch=master)
+[![Documentation Status](https://readthedocs.org/projects/jupyter-plotly-dash/badge/?version=latest)](https://jupyter-plotly-dash.readthedocs.io/en/latest/?badge=latest)
+
+Allow use of [plotly dash](https://plot.ly/products/dash/) applications within Jupyter notebooks, with the management of both session and internal state.
+
+See the source for this project here:
+<https://github.com/GibbsConsulting/jupyter-plotly-dash>
+
+Try me here in your browser: [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/GibbsConsulting/jupyter-plotly-dash/master)
+
+More detailed information
+can be found in the online documentation at
+<https://readthedocs.org/projects/jupyter-plotly-dash>
+
+## Installation
+
+Install the package. Use of a `virtualenv` environment is strongly recommended.
+
+    pip install jupyter_plotly_dash
+
+Now the package is installed, it can be used within a Jupyter notebook.
+
+## Simple use
+
+After installation, launch a python Jupyter notebook server using `jupyter notebook` or `jupyter lab` as desired. Create a `Dash` application, using
+the `JupyterDash` class instead of `dash.Dash` for the application, and copy the following into a code cell and evaluate it.
+
+```python
+from jupyter_plotly_dash import JupyterDash
+
+import dash
+import dash_core_components as dcc
+import dash_html_components as html
+from dash.dependencies import Input, Output
+
+app = JupyterDash('SimpleExample')
+
+app.layout = html.Div([
+    dcc.RadioItems(
+        id='dropdown-color',
+        options=[{'label': c, 'value': c.lower()}
+                 for c in ['Red', 'Green', 'Blue']],
+        value='red'
+    ),
+    html.Div(id='output-color'),
+    dcc.RadioItems(
+        id='dropdown-size',
+        options=[{'label': i, 'value': j}
+                 for i, j in [('L','large'), ('M','medium'), ('S','small')]],
+        value='medium'
+    ),
+    html.Div(id='output-size')
+
+])
+
+@app.callback(
+    dash.dependencies.Output('output-color', 'children'),
+    [dash.dependencies.Input('dropdown-color', 'value')])
+def callback_color(dropdown_value):
+    return "The selected color is %s." % dropdown_value
+
+@app.callback(
+    dash.dependencies.Output('output-size', 'children'),
+    [dash.dependencies.Input('dropdown-color', 'value'),
+     dash.dependencies.Input('dropdown-size', 'value')])
+def callback_size(dropdown_color, dropdown_size):
+    return "The chosen T-shirt is a %s %s one." %(dropdown_size,
+                                                  dropdown_color)
+
+app
+```
+
+The last line causes the dash application to be rendered. All callbacks are invoked asynchronously, so the display of an
+application does not prevent other notebook cells from being evaluated. Multiple instances of the same dash application
+can be rendered at the same time within a single notebook.
+
+## Binder use
+
+To launch a binder
+image, visit [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/GibbsConsulting/jupyter-plotly-dash/master) to
+run Jupyter notebooks using the latest version on the master branch of the main repository.
+
+
+
+
+%package help
+Summary:	Development documents and examples for jupyter-plotly-dash
+Provides:	python3-jupyter-plotly-dash-doc
+%description help
+# jupyter-plotly-dash
+
+[![PyPI version](https://badge.fury.io/py/jupyter-plotly-dash.svg)](https://badge.fury.io/py/jupyter-plotly-dash)
+[![Downloads](https://img.shields.io/pypi/dw/jupyter-plotly-dash.svg)](https://img.shields.io/pypi/dw/jupyter-plotly-dash.svg)
+![Develop Branch Build Status](https://travis-ci.org/GibbsConsulting/jupyter-plotly-dash.svg?branch=master)
+[![Coverage Status](https://coveralls.io/repos/github/GibbsConsulting/jupyter-plotly-dash/badge.svg?branch=master)](https://coveralls.io/github/GibbsConsulting/jupyter-plotly-dash?branch=master)
+[![Documentation Status](https://readthedocs.org/projects/jupyter-plotly-dash/badge/?version=latest)](https://jupyter-plotly-dash.readthedocs.io/en/latest/?badge=latest)
+
+Allow use of [plotly dash](https://plot.ly/products/dash/) applications within Jupyter notebooks, with the management of both session and internal state.
+
+See the source for this project here:
+<https://github.com/GibbsConsulting/jupyter-plotly-dash>
+
+Try me here in your browser: [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/GibbsConsulting/jupyter-plotly-dash/master)
+
+More detailed information
+can be found in the online documentation at
+<https://readthedocs.org/projects/jupyter-plotly-dash>
+
+## Installation
+
+Install the package. Use of a `virtualenv` environment is strongly recommended.
+
+    pip install jupyter_plotly_dash
+
+Now the package is installed, it can be used within a Jupyter notebook.
+
+## Simple use
+
+After installation, launch a python Jupyter notebook server using `jupyter notebook` or `jupyter lab` as desired. Create a `Dash` application, using
+the `JupyterDash` class instead of `dash.Dash` for the application, and copy the following into a code cell and evaluate it.
+
+```python
+from jupyter_plotly_dash import JupyterDash
+
+import dash
+import dash_core_components as dcc
+import dash_html_components as html
+from dash.dependencies import Input, Output
+
+app = JupyterDash('SimpleExample')
+
+app.layout = html.Div([
+    dcc.RadioItems(
+        id='dropdown-color',
+        options=[{'label': c, 'value': c.lower()}
+                 for c in ['Red', 'Green', 'Blue']],
+        value='red'
+    ),
+    html.Div(id='output-color'),
+    dcc.RadioItems(
+        id='dropdown-size',
+        options=[{'label': i, 'value': j}
+                 for i, j in [('L','large'), ('M','medium'), ('S','small')]],
+        value='medium'
+    ),
+    html.Div(id='output-size')
+
+])
+
+@app.callback(
+    dash.dependencies.Output('output-color', 'children'),
+    [dash.dependencies.Input('dropdown-color', 'value')])
+def callback_color(dropdown_value):
+    return "The selected color is %s." % dropdown_value
+
+@app.callback(
+    dash.dependencies.Output('output-size', 'children'),
+    [dash.dependencies.Input('dropdown-color', 'value'),
+     dash.dependencies.Input('dropdown-size', 'value')])
+def callback_size(dropdown_color, dropdown_size):
+    return "The chosen T-shirt is a %s %s one." %(dropdown_size,
+                                                  dropdown_color)
+
+app
+```
+
+The last line causes the dash application to be rendered. All callbacks are invoked asynchronously, so the display of an
+application does not prevent other notebook cells from being evaluated. Multiple instances of the same dash application
+can be rendered at the same time within a single notebook.
+
+## Binder use
+
+To launch a binder
+image, visit [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/GibbsConsulting/jupyter-plotly-dash/master) to
+run Jupyter notebooks using the latest version on the master branch of the main repository.
+
+
+
+
+%prep
+%autosetup -n jupyter-plotly-dash-0.4.3
+
+%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-jupyter-plotly-dash -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.3-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..b4d4303
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+7a76adfa12a1aef435f08686946272cf  jupyter-plotly-dash-0.4.3.tar.gz