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ortools-clone/examples/notebook/contrib/magic_square.ipynb
Corentin Le Molgat 27121a1068 Update examples/notebook
generated using ./tools/gen_all_notebook.sh
2020-03-04 14:34:33 +01:00

120 lines
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{
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{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# Copyright 2010 Hakan Kjellerstrand hakank@gmail.com\n",
"#\n",
"# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
"# you may not use this file except in compliance with the License.\n",
"# You may obtain a copy of the License at\n",
"#\n",
"# http://www.apache.org/licenses/LICENSE-2.0\n",
"#\n",
"# Unless required by applicable law or agreed to in writing, software\n",
"# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
"# See the License for the specific language governing permissions and\n",
"# limitations under the License.\n",
"\"\"\"\n",
"\n",
" Magic squares in Google CP Solver.\n",
"\n",
" Magic square problem.\n",
"\n",
" This model was created by Hakan Kjellerstrand (hakank@gmail.com)\n",
" Also see my other Google CP Solver models:\n",
" http://www.hakank.org/google_or_tools/\n",
"\"\"\"\n",
"from __future__ import print_function\n",
"import sys\n",
"from ortools.constraint_solver import pywrapcp\n",
"\n",
"\n",
"# Create the solver.\n",
"solver = pywrapcp.Solver(\"n-queens\")\n",
"\n",
"#\n",
"# data\n",
"#\n",
"\n",
"#\n",
"# declare variables\n",
"#\n",
"x = {}\n",
"for i in range(n):\n",
" for j in range(n):\n",
" x[(i, j)] = solver.IntVar(1, n * n, \"x(%i,%i)\" % (i, j))\n",
"x_flat = [x[(i, j)] for i in range(n) for j in range(n)]\n",
"\n",
"# the sum\n",
"# s = ( n * (n*n + 1)) / 2\n",
"s = solver.IntVar(1, n * n * n, \"s\")\n",
"\n",
"#\n",
"# constraints\n",
"#\n",
"# solver.Add(s == ( n * (n*n + 1)) / 2)\n",
"\n",
"solver.Add(solver.AllDifferent(x_flat))\n",
"\n",
"[solver.Add(solver.Sum([x[(i, j)] for j in range(n)]) == s) for i in range(n)]\n",
"[solver.Add(solver.Sum([x[(i, j)] for i in range(n)]) == s) for j in range(n)]\n",
"\n",
"solver.Add(solver.Sum([x[(i, i)] for i in range(n)]) == s) # diag 1\n",
"solver.Add(solver.Sum([x[(i, n - i - 1)] for i in range(n)]) == s) # diag 2\n",
"\n",
"# symmetry breaking\n",
"# solver.Add(x[(0,0)] == 1)\n",
"\n",
"#\n",
"# solution and search\n",
"#\n",
"solution = solver.Assignment()\n",
"solution.Add(x_flat)\n",
"solution.Add(s)\n",
"\n",
"# db: DecisionBuilder\n",
"db = solver.Phase(\n",
" x_flat,\n",
" # solver.INT_VAR_DEFAULT,\n",
" solver.CHOOSE_FIRST_UNBOUND,\n",
" # solver.CHOOSE_MIN_SIZE_LOWEST_MAX,\n",
"\n",
" # solver.ASSIGN_MIN_VALUE\n",
" solver.ASSIGN_CENTER_VALUE)\n",
"\n",
"solver.NewSearch(db)\n",
"num_solutions = 0\n",
"while solver.NextSolution():\n",
" print(\"s:\", s.Value())\n",
" for i in range(n):\n",
" for j in range(n):\n",
" print(\"%2i\" % x[(i, j)].Value(), end=\" \")\n",
" print()\n",
"\n",
" print()\n",
" num_solutions += 1\n",
" if num_solutions > limit:\n",
" break\n",
"solver.EndSearch()\n",
"\n",
"print()\n",
"print(\"num_solutions:\", num_solutions)\n",
"print(\"failures:\", solver.Failures())\n",
"print(\"branches:\", solver.Branches())\n",
"print(\"WallTime:\", solver.WallTime())\n",
"\n",
"n = 4\n",
"limit=100\n"
]
}
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