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contiguity_regular.cs
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contiguity_regular.cs
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//
// Copyright 2012 Hakan Kjellerstrand
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
using System;
using System.Collections;
using System.Linq;
using System.Diagnostics;
using Google.OrTools.ConstraintSolver;
public class ContiguityRegular
{
/*
* Global constraint regular
*
* This is a translation of MiniZinc's regular constraint (defined in
* lib/zinc/globals.mzn), via the Comet code refered above.
* All comments are from the MiniZinc code.
* """
* The sequence of values in array 'x' (which must all be in the range 1..S)
* is accepted by the DFA of 'Q' states with input 1..S and transition
* function 'd' (which maps (1..Q, 1..S) -> 0..Q)) and initial state 'q0'
* (which must be in 1..Q) and accepting states 'F' (which all must be in
* 1..Q). We reserve state 0 to be an always failing state.
* """
*
* x : IntVar array
* Q : number of states
* S : input_max
* d : transition matrix
* q0: initial state
* F : accepting states
*
*/
static void MyRegular(Solver solver, IntVar[] x, int Q, int S, int[,] d, int q0, int[] F)
{
Debug.Assert(Q > 0, "regular: 'Q' must be greater than zero");
Debug.Assert(S > 0, "regular: 'S' must be greater than zero");
// d2 is the same as d, except we add one extra transition for
// each possible input; each extra transition is from state zero
// to state zero. This allows us to continue even if we hit a
// non-accepted input.
int[][] d2 = new int [Q + 1][];
for (int i = 0; i <= Q; i++)
{
int[] row = new int[S];
for (int j = 0; j < S; j++)
{
if (i == 0)
{
row[j] = 0;
}
else
{
row[j] = d[i - 1, j];
}
}
d2[i] = row;
}
int[] d2_flatten =
(from i in Enumerable.Range(0, Q + 1) from j in Enumerable.Range(0, S) select d2[i][j]).ToArray();
// If x has index set m..n, then a[m-1] holds the initial state
// (q0), and a[i+1] holds the state we're in after processing
// x[i]. If a[n] is in F, then we succeed (ie. accept the
// string).
int m = 0;
int n = x.Length;
IntVar[] a = solver.MakeIntVarArray(n + 1 - m, 0, Q + 1, "a");
// Check that the final state is in F
solver.Add(a[a.Length - 1].Member(F));
// First state is q0
solver.Add(a[m] == q0);
for (int i = 0; i < n; i++)
{
solver.Add(x[i] >= 1);
solver.Add(x[i] <= S);
// Determine a[i+1]: a[i+1] == d2[a[i], x[i]]
solver.Add(a[i + 1] == d2_flatten.Element(((a[i] * S) + (x[i] - 1))));
}
}
static void MyContiguity(Solver solver, IntVar[] x)
{
// the DFA (for regular)
int n_states = 3;
int input_max = 2;
int initial_state = 1; // note: state 0 is used for the failing state
// in MyRegular
// all states are accepting states
int[] accepting_states = { 1, 2, 3 };
// The regular expression 0*1*0*
int[,] transition_fn = {
{ 1, 2 }, // state 1 (start): input 0 -> state 1, input 1 -> state 2 i.e. 0*
{ 3, 2 }, // state 2: 1*
{ 3, 0 }, // state 3: 0*
};
MyRegular(solver, x, n_states, input_max, transition_fn, initial_state, accepting_states);
}
/**
*
* Global constraint contiguity using regular
*
* This is a decomposition of the global constraint global contiguity.
*
* From Global Constraint Catalogue
* http://www.emn.fr/x-info/sdemasse/gccat/Cglobal_contiguity.html
* """
* Enforce all variables of the VARIABLES collection to be assigned to 0 or 1.
* In addition, all variables assigned to value 1 appear contiguously.
*
* Example:
* (<0, 1, 1, 0>)
*
* The global_contiguity constraint holds since the sequence 0 1 1 0 contains
* no more than one group of contiguous 1.
* """
*
* Also see http://www.hakank.org/or-tools/contiguity_regular.py
*
*/
private static void Solve()
{
Solver solver = new Solver("ContiguityRegular");
//
// Data
//
int n = 7; // length of the array
//
// Decision variables
//
// Note: We use 1..2 (instead of 0..1) and subtract 1 in the solution
IntVar[] reg_input = solver.MakeIntVarArray(n, 1, 2, "reg_input");
//
// Constraints
//
MyContiguity(solver, reg_input);
//
// Search
//
DecisionBuilder db = solver.MakePhase(reg_input, Solver.CHOOSE_FIRST_UNBOUND, Solver.ASSIGN_MIN_VALUE);
solver.NewSearch(db);
while (solver.NextSolution())
{
for (int i = 0; i < n; i++)
{
// Note: here we subtract 1 to get 0..1
Console.Write((reg_input[i].Value() - 1) + " ");
}
Console.WriteLine();
}
Console.WriteLine("\nSolutions: {0}", solver.Solutions());
Console.WriteLine("WallTime: {0}ms", solver.WallTime());
Console.WriteLine("Failures: {0}", solver.Failures());
Console.WriteLine("Branches: {0} ", solver.Branches());
solver.EndSearch();
}
public static void Main(String[] args)
{
Solve();
}
}