mirror of
https://github.com/wassname/scrape_r_rational.git
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misc
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@@ -0,0 +1,46 @@
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<!doctype html>
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<html lang=en>
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<head>
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<meta charset=utf-8>
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<title>scraping reddit.com/r/rational recs</title>
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<link href="https://cdn.datatables.net/v/dt/jq-3.7.0/dt-2.1.8/b-3.2.0/b-colvis-3.2.0/sc-2.4.3/sr-1.4.1/datatables.min.css" rel="stylesheet">
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<script src="https://cdn.datatables.net/v/dt/jq-3.7.0/dt-2.1.8/b-3.2.0/b-colvis-3.2.0/sc-2.4.3/sr-1.4.1/datatables.min.js"></script>
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</head>
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<body>
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<p>scraping <a href="https://old.reddit.com/r/rational/">reddit.com/r/rational/</a></p>
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<a href="https://github.com/wassname/scrape_r_rational">source code</a>
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<table id="myTable" class="cell-border compact stripe"></table>
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</body>
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<script>
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let data = {{data}}
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</script>
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<script>
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table = new DataTable('#myTable', {
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data: data,
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columns: {{columns}},
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order: [[1, 'score']],
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pageLength: 50,
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responsive: true,
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columnDefs: [
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{
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targets: 1,
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className: 'noVis'
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}
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],
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layout: {
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topStart: {
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buttons: [
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{
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extend: 'colvis',
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columns: ':not(.noVis)',
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popoverTitle: 'Column visibility selector'
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}
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]
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}
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}
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});
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</script>
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</html>
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@@ -176,6 +176,26 @@
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"df_links.to_markdown('../outputs/links2.md')"
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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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{
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"ename": "AttributeError",
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"evalue": "'Series' object has no attribute 'to_html'",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)",
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"\u001b[0;32m/tmp/ipykernel_2936525/1764501736.py\u001b[0m in \u001b[0;36m?\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdf_links\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_html\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'../outputs/links2.html'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
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"\u001b[0;32m/media/wassname/SGIronWolf/projects5/rrational/.venv/lib/python3.10/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m?\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m 6295\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mname\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_accessors\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6296\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_info_axis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_can_hold_identifiers_and_holds_name\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6297\u001b[0m ):\n\u001b[1;32m 6298\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 6299\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
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"\u001b[0;31mAttributeError\u001b[0m: 'Series' object has no attribute 'to_html'"
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]
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}
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],
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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Load Diff
@@ -21,6 +21,7 @@ anycache = "^2.2.0"
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# lightnovel-crawler = "^3.7.2"
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tiktoken = "^0.8.0"
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cloudscraper = "^1.2.71"
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jinja2 = "^3.1.5"
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[[tool.poetry.source]]
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# pytorch cuda needs to compe from another source https://python-poetry.org/docs/dependency-specification/#source-dependencies
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