mirror of
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71 lines
2.1 KiB
Plaintext
71 lines
2.1 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "abstract-broad",
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"metadata": {},
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"source": [
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"# Program to read through folders in a file-path and spit out description"
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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": "similar-algeria",
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"metadata": {},
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"outputs": [],
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"source": [
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"def find_algorithm():\n",
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" import os # To enable you walk through the OS directory\n",
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" import re # To enable pattern recognition\n",
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" \n",
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" \n",
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" # Take file-path and extract names of files in file-path as list data type\n",
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" check_folder = input(\"Please enter the file-path of the folder: \\n\")\n",
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" found_items = os.listdir(check_folder)\n",
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" \n",
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" \n",
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" # Initialize what the pattern to be searched for should look like\n",
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" pattern = \"\\W\\W\\W\"\n",
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" \n",
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" # Look into the individual txt files and extraxt the description \n",
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" for items in range(0, len(found_items)):\n",
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" print(f\"\\n({items + 1}): I found the file named: {found_items[items]}\")\n",
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" inside_file = check_folder + '\\\\' + found_items[items]\n",
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" \n",
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" with open(inside_file, mode ='r', encoding = 'utf-8') as myfile:\n",
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" print(\"Inside the file, I found this description: \\n \")\n",
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" contents = myfile.readlines()\n",
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" \n",
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" for indexing in range(0, len(contents)):\n",
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" if re.search(pattern, contents[indexing]):\n",
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" print(contents[indexing+1])\n",
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" break\n",
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" \n",
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" print(\"\\n\\n\")"
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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",
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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": "3.9.2"
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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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