{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import numpy as np\n", "from itertools import combinations, product\n", "from collections import defaultdict" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## algorithm" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def sum4(data):\n", " # store 2-sums\n", " sum_of_2 = defaultdict(list)\n", " for i, j in combinations(range(len(data)), 2):\n", " k = data[i] + data[j]\n", " sum_of_2[k].append((i, j))\n", "\n", " # match pairs of 2-sums\n", " sum_of_4 = set()\n", " for k in sum_of_2:\n", " if k >= 0 and -k in sum_of_2:\n", " for i, j in product(sum_of_2[k], sum_of_2[-k]):\n", " index = tuple(sorted(set(i + j)))\n", " if len(index) == 4:\n", " sum_of_4.add(index)\n", "\n", " return sum_of_4" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## run" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array([ 5, 1, -9, -6, 4, -4, 7, 1, -10, -6])" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "n = 10\n", "data = np.random.randint(-n, n, n)\n", "data" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(0, 1, 4, 8) [ 5 1 4 -10]\n", "(1, 2, 6, 7) [ 1 -9 7 1]\n", "(1, 3, 4, 7) [ 1 -6 4 1]\n", "(0, 3, 6, 9) [ 5 -6 7 -6]\n", "(0, 4, 7, 8) [ 5 4 1 -10]\n", "(1, 4, 7, 9) [ 1 4 1 -6]\n" ] } ], "source": [ "for index in sum4(data):\n", " print(index, data[list(index)])" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "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": "3.6.0" } }, "nbformat": 4, "nbformat_minor": 2 }