55 lines
1.5 KiB
Plaintext
55 lines
1.5 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "73287ed4-81e3-496a-9e47-f0e8c3770ce9",
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"metadata": {},
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"source": [
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"# Gathering Essential Diagnostic information\n",
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"\n",
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"## Please run this next cell to gather some important data\n",
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"\n",
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"Please run the next cell; it should take a minute or so to run (mostly the network test).\n",
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"Then email me the output of the last cell to ed@edwarddonner.com. \n",
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"Alternatively: this will create a file called report.txt - just attach the file to your email."
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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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"id": "ed8056e8-efa2-4b6f-a4bb-e7ceb733c517",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Run my diagnostics report to collect key information for debugging\n",
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"# Please email me the results. Either copy & paste the output, or attach the file report.txt\n",
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"\n",
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"!pip install -q requests speedtest-cli psutil setuptools\n",
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"from diagnostics import Diagnostics\n",
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"Diagnostics().run()"
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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": "3.11.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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