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Shaun Setlock
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problems/005_problem/005_problem_jnotebook.ipynb
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203
problems/005_problem/005_problem_jnotebook.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Problem 5:\n",
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"\n",
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"[Euler Project #5](https://projecteuler.net/problem=5)\n",
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"\n",
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"> *2520 is the smallest number that can be divided by each of the numbers from 1 to 10 without any remainder.*\n",
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"> *What is the smallest positive number that is evenly divisible by all of the numbers from 1 to 20?*\n",
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"\n",
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"---"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Reserved Space For Imports\n",
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"---"
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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": 1,
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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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"import pprint\n",
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"import time # Typically imported for sleep function, to slow down execution in terminal.\n",
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"import typing\n",
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"import decorators # Typically imported to compute execution duration of functions.\n",
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"import numpy"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Reserved Space For Method Definition\n",
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"---"
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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": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"def primes_gen(start_n: int,max_n: int):\n",
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" \"\"\"\n",
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" Returns a generator object, containing the \n",
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" primes inside a specified range.\n",
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" primes_gen(start_n,max_n)\n",
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" param 'start_n': Previous prime.\n",
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" param 'max_n': Maximum integer allowed to be returned. Quit if reached.\n",
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" \"\"\"\n",
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" start_n += 1\n",
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" for candidate in range(start_n,max_n):\n",
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" notPrime = False\n",
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" \n",
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" if candidate in [0,1,2,3]:\n",
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" yield candidate\n",
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" for dividend in range(2,candidate):\n",
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" \n",
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" if candidate%dividend == 0:\n",
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" notPrime = True\n",
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" \n",
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" if not notPrime:\n",
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" yield candidate"
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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": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"def evenly_divisible(candidate: int,factors: list):\n",
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" \"\"\"\n",
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" Determines if the supplied integer candidate is \n",
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" evenly divisble by the supplied list of factors.\n",
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" \n",
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" evenly_divisible(candidate: int, factors: list)\n",
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"\n",
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" param 'candidate': Integer to be tested.\n",
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" param 'factors': List of factors for the modulus operator.\n",
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" \n",
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" \"\"\"\n",
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" \n",
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" modulus_sum = 0\n",
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"\n",
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" for n in factors:\n",
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" modulus_sum += candidate%n\n",
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" \n",
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" if modulus_sum == 0: \n",
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" return True\n",
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" else:\n",
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" return False"
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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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},
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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": "markdown",
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"metadata": {},
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"source": [
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"## 1. Begin with testing the problem statement's example case.\n",
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"---"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"*Mathematically, the trick is to recognize that this a LCM (Least Common Multiple) problem. The solution is list all the prime factors of each number in the factor list, then compute their collective product.*\n",
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"\n",
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" - [x] Create the list of factors, prescribed by the problem statement. Use a list.\n",
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" - [ ] Generate a list of prime factors for each of the factors. Use a list of list.\n",
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" - [ ] For each of the unique prime factors found in the previous list of lists, \n",
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" find the factor for which the \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": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Receive problem inputs...\n",
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"smallest_factor = 1\n",
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"largest_factor = 10\n",
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"\n",
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"# Compute intermediate inputs\n",
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"factor_list = [int(i) for i in range(smallest_factor,largest_factor+1)]\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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},
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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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"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": "3.8.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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