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{
"cells": [
{
"cell_type": "markdown",
"id": "73287ed4-81e3-496a-9e47-f0e8c3770ce9",
"metadata": {},
"source": [
"# Gathering Essential Diagnostic information\n",
"\n",
"## Please run this next cell to gather some important data\n",
"\n",
"Please run the next cell; it should take a minute or so to run (mostly the network test).\n",
"Rhen email me the output of the last cell to [email protected]. \n",
"Alternatively: this will create a file called report.txt - just attach the file to your email."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ed8056e8-efa2-4b6f-a4bb-e7ceb733c517",
"metadata": {},
"outputs": [],
"source": [
"# Run my diagnostics report to collect key information for debugging\n",
"# Please email me the results. Either copy & paste the output, or attach the file report.txt\n",
"\n",
"!pip install -q requests speedtest-cli psutil setuptools\n",
"from diagnostics import Diagnostics\n",
"Diagnostics().run()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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