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Meriem-BenIsmailMeriem-BenIsmail
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Create ui tests for jupyterlab extensions (#1)
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‎environment.yaml‎

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@@ -8,6 +8,7 @@ dependencies:
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- git
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- ruff=0.9.10
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- nb_conda_kernels=2.5.1
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- black=25.1.0
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# Extensions
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- papermill=2.6.0
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- voila=0.5.8

‎notebooks/test-code-formatter.ipynb‎

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"def my_function(x, y):\n",
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" print(x, y)"
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]
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}
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],
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"metadata": {
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"language_info": {
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"name": "python"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎notebooks/test-dash.ipynb‎

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from dash import dcc, html, Dash\n",
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"app = Dash(__name__)\n",
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"app.layout = html.Div([\n",
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" dcc.Graph(\n",
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" id='graph',\n",
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" figure={\n",
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" 'data': [{\n",
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" 'x': [1, 2, 3, 4],\n",
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" 'y': [10, 11, 12, 13],\n",
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" 'type': 'line',\n",
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" 'name': 'Test',\n",
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" }],\n",
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" 'layout': {\n",
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" 'title': 'Dash in JupyterLab'\n",
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" }\n",
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" })\n",
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"])\n",
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"app.run_server(host=\"0.0.0.0\", port=8052)"
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]
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}
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],
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"metadata": {
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"language_info": {
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"name": "python"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎notebooks/test-git.ipynb‎

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(\"Testing git difference\")"
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]
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}
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],
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"metadata": {
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"language_info": {
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"name": "python"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎notebooks/test-ipydatagrid.ipynb‎

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import pandas as pd\n",
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"import ipydatagrid\n",
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"\n",
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"data = pd.DataFrame(\n",
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" np.random.randint(0, 100, size=(5, 5)), \n",
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" columns=[\"A\", \"B\", \"C\", \"D\", \"E\"]\n",
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")\n",
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"\n",
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"grid = ipydatagrid.DataGrid(data, editable=True)\n",
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"\n",
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"grid\n"
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]
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}
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],
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"metadata": {
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"language_info": {
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"name": "python"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎notebooks/test-ipympl.ipynb‎

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Activate ipympl\n",
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"%matplotlib widget \n",
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"\n",
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"import matplotlib.pyplot as plt \n",
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"import numpy as np \n",
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"\n",
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"x = np.linspace(0, 10, 100) \n",
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"y = np.sin(x) \n",
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"\n",
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"fig, ax = plt.subplots() \n",
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"ax.plot(x, y) \n",
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"plt.show()\n"
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]
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}
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],
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"metadata": {
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"language_info": {
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"name": "python"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎notebooks/test-ipywidgets.ipynb‎

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "50782ddbb20d4554b3177cd46a259adf",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"IntSlider(value=50, description='Slider:')"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "2798f6e7c7b34b76be50958d5d60fd5c",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"Button(description='Click Me', style=ButtonStyle())"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "e4b5b3a74ffd4947912da1c191a393c0",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"Output()"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"import ipywidgets as widgets\n",
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"from IPython.display import display\n",
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"\n",
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"slider = widgets.IntSlider(value=50, min=0, max=100, description=\"Slider:\")\n",
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"\n",
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"button = widgets.Button(description=\"Click Me\")\n",
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"\n",
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"output = widgets.Output()\n",
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"\n",
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"def on_button_click(b):\n",
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" with output:\n",
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" print(\"Button Clicked!\")\n",
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"\n",
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"button.on_click(on_button_click)\n",
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"\n",
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"display(slider, button, output)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}

‎notebooks/test-lsp.ipynb‎

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"np"
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]
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}
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],
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"metadata": {
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"language_info": {
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"name": "python"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎notebooks/test-papermill.ipynb‎

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"tags": [
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"parameters"
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]
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},
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"outputs": [],
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"source": [
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"# Parameters\n",
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"param1 = \"default_value\"\n",
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"param2 = 0"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"result = f\"Processed {param1} with value {param2}\"\n",
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"print(result)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import datetime\n",
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"print(f\"Notebook executed at {datetime.datetime.now()}\")"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}

‎notebooks/test-voila.ipynb‎

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