euler/ipython/EulerProblem008.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Euler Problem 8\n",
"\n",
"The four adjacent digits in the 1000-digit number that have the greatest product are 9 × 9 × 8 × 9 = 5832.\n",
"\n",
"~~~\n",
"73167176531330624919225119674426574742355349194934\n",
"96983520312774506326239578318016984801869478851843\n",
"85861560789112949495459501737958331952853208805511\n",
"12540698747158523863050715693290963295227443043557\n",
"66896648950445244523161731856403098711121722383113\n",
"62229893423380308135336276614282806444486645238749\n",
"30358907296290491560440772390713810515859307960866\n",
"70172427121883998797908792274921901699720888093776\n",
"65727333001053367881220235421809751254540594752243\n",
"52584907711670556013604839586446706324415722155397\n",
"53697817977846174064955149290862569321978468622482\n",
"83972241375657056057490261407972968652414535100474\n",
"82166370484403199890008895243450658541227588666881\n",
"16427171479924442928230863465674813919123162824586\n",
"17866458359124566529476545682848912883142607690042\n",
"24219022671055626321111109370544217506941658960408\n",
"07198403850962455444362981230987879927244284909188\n",
"84580156166097919133875499200524063689912560717606\n",
"05886116467109405077541002256983155200055935729725\n",
"71636269561882670428252483600823257530420752963450\n",
"~~~\n",
"\n",
"Find the thirteen adjacent digits in the 1000-digit number that have the greatest product. What is the value of this product?"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We need the number as a list of integers first."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"def remove_newlines(s):\n",
" import re\n",
" return re.sub(r'\\n', '', s)\n",
"\n",
"digits_string = \"\"\"73167176531330624919225119674426574742355349194934\n",
"96983520312774506326239578318016984801869478851843\n",
"85861560789112949495459501737958331952853208805511\n",
"12540698747158523863050715693290963295227443043557\n",
"66896648950445244523161731856403098711121722383113\n",
"62229893423380308135336276614282806444486645238749\n",
"30358907296290491560440772390713810515859307960866\n",
"70172427121883998797908792274921901699720888093776\n",
"65727333001053367881220235421809751254540594752243\n",
"52584907711670556013604839586446706324415722155397\n",
"53697817977846174064955149290862569321978468622482\n",
"83972241375657056057490261407972968652414535100474\n",
"82166370484403199890008895243450658541227588666881\n",
"16427171479924442928230863465674813919123162824586\n",
"17866458359124566529476545682848912883142607690042\n",
"24219022671055626321111109370544217506941658960408\n",
"07198403850962455444362981230987879927244284909188\n",
"84580156166097919133875499200524063689912560717606\n",
"05886116467109405077541002256983155200055935729725\n",
"71636269561882670428252483600823257530420752963450\"\"\"\n",
"\n",
"digits = [int(d) for d in remove_newlines(digits_string)]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" Then we can use slicing to do a brute force."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"23514624000\n"
]
}
],
"source": [
"def product(xs):\n",
" from operator import mul\n",
" from functools import reduce\n",
" return reduce(mul, xs, 1)\n",
"\n",
"def get_largest_product_of_n_digits(digits, n):\n",
" return max((product(digits[i:i + n]) for i in range(len(digits))))\n",
"\n",
"assert(get_largest_product_of_n_digits(digits, 4) == 5832)\n",
"assert(get_largest_product_of_n_digits(digits, 13) == 23514624000)\n",
"print(get_largest_product_of_n_digits(digits, 13))"
]
}
],
"metadata": {
"completion_date": "Wed, 20 Aug 2014, 16:03",
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.4"
},
"tags": [
"product",
"reduce",
"slice"
]
},
"nbformat": 4,
"nbformat_minor": 0
}