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DP easy
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‎17. Dynamic Programming/00. LeetCode Easy.ipynb‎

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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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"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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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"source": [
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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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"data": {
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"text/plain": [
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"6"
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},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"outputs": [],
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"source": [
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"cost = [10,15,20]\n",
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"cost = [1,100,1,1,1,100,1,1,100,1]\n",
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"data": {
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"[1, 5, 10, 10, 5, 1]"
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"execution_count": 90,
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"metadata": {},
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"output_type": "execute_result"
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"outputs": [],
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"rowIndex = 5\n",
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"Solution().getRow(rowIndex)"
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"cell_type": "code",
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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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"data": {
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"text/plain": [
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"3"
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]
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},
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"execution_count": 110,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"outputs": [],
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"source": [
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"n = 5\n",
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"Solution().getMaximumGenerated(n)"
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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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"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 os\n",
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"os.getcwd()"
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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 csv\n",
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"import PyPDF2\n",
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"\n",
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"# Open the PDF file\n"
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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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"pdf_file = open(\"RNW 3Q'23 Earnings_vF.pdf\", 'rb')\n",
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"\n",
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"\n",
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"\"RNW 3Q'23 Earnings_vF.pdf\"\n",
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"\n",
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"\n",
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"\"Rehire-Policy-_-Final-draft\""
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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 csv\n",
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"from pdfminer.high_level import extract_text\n",
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"\n",
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"# Extract the text from the PDF file\n",
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"text = extract_text('Rehire-Policy-_-Final-draft.pdf')\n",
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"\n",
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"# Create a CSV file to write the extracted text\n",
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"csv_file = open('example.csv', 'w', newline='')\n",
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"csv_writer = csv.writer(csv_file)\n",
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"\n",
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"# Write the text to the CSV file\n",
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"csv_writer.writerow([text])\n",
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"\n",
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"# Close the CSV file\n",
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"csv_file.close()\n"
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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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"print(text)"
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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 openpyxl\n",
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"from pdfminer.high_level import extract_pages, extract_text\n",
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"\n",
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"# Create an Excel workbook\n",
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"workbook = openpyxl.Workbook()\n",
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"\n",
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"# Extract the pages from the PDF file and save each page into a separate sheet in the workbook\n",
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"for page_num, page_layout in enumerate(extract_pages(\"RNW 3Q'23 Earnings_vF.pdf\"), start=1):\n",
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" # Create a new sheet in the workbook\n",
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" sheet_name = f'Page {page_num}'\n",
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" worksheet = workbook.create_sheet(sheet_name)\n",
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"\n",
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" # Extract the text from the page layout\n",
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" text = extract_text(page_layout)\n",
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"\n",
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" # Split the text into lines and write each line to a row in the sheet\n",
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" lines = text.split('\\n')\n",
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" for row_num, line in enumerate(lines, start=1):\n",
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" worksheet.cell(row=row_num, column=1, value=line)\n",
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"\n",
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"# Save the workbook\n",
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"workbook.save('Renew-Power-Prospectus.xlsx')\n"
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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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"text = extract_text(page_layout)"
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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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"page_layout"
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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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"\n",
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"\n",
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"\n",
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"# Create a CSV file to write the extracted text\n",
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"csv_file = open('example.csv', 'w', newline='')\n",
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"csv_writer = csv.writer(csv_file)\n",
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"\n",
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"# Loop through each page in the PDF file\n",
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"for page_num in range(num_pages):\n",
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" # Get the page object\n",
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" page = pdf_reader.getPage(page_num)\n",
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"\n",
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" # Extract the text from the page\n",
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" text = page.extractText()\n",
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"\n",
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" # Write the text to the CSV file\n",
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" csv_writer.writerow([text])\n",
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"\n",
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"# Close the CSV file and PDF file\n",
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"csv_file.close()\n",
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"pdf_file.close()"
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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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"cell_type": "code",
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"execution_count": null,

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