{ "cells": [ { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "# if needed, do: pip install python-constraint\n", "from constraint import *" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "#create a new constrint problem\n", "p = Problem()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "# create nine variables named 0..8\n", "# where each one has a domain of 1..9\n", "p.addVariables(range(0, 9), range(1, 9+1))" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "# Each variable must have a different value\n", "p.addConstraint(AllDifferentConstraint(), range(0, 9))\n", "\n", "# the sum of the diagonals must be 15\n", "p.addConstraint(ExactSumConstraint(15), [0,4,8])\n", "p.addConstraint(ExactSumConstraint(15), [2,4,6])\n", "\n", "# the sum of each row must be 15\n", "for row in range(3):\n", " p.addConstraint(ExactSumConstraint(15),\n", " [row*3+i for i in range(3)])\n", " \n", "# the sum of each column must be 15\n", "for col in range(3):\n", " p.addConstraint(ExactSumConstraint(15),\n", " [col+3*i for i in range(3)])" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "6 7 2\n", "1 5 9\n", "8 3 4\n", "\n", "6 1 8\n", "7 5 3\n", "2 9 4\n", "\n", "8 1 6\n", "3 5 7\n", "4 9 2\n", "\n", "8 3 4\n", "1 5 9\n", "6 7 2\n", "\n", "4 3 8\n", "9 5 1\n", "2 7 6\n", "\n", "4 9 2\n", "3 5 7\n", "8 1 6\n", "\n", "2 7 6\n", "9 5 1\n", "4 3 8\n", "\n", "2 9 4\n", "7 5 3\n", "6 1 8\n" ] } ], "source": [ "# find all solutions and print them\n", "for solution in p.getSolutions():\n", " print\n", " for row in range(3):\n", " for col in range(3):\n", " print solution[row*3+col],\n", " print" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.14" } }, "nbformat": 4, "nbformat_minor": 2 }