暗号パズルは数学の演習で、いくつかの 数字は文字(または記号)で表します。各文字は、一意の ID を表す あります。目標は、数式が成り立ち、 確認済み:
CP + IS + FUN -------- = TRUE
文字を数字に 1 回代入すると、次の式が得られます。
23 + 74 + 968 -------- = 1065
この問題には他の答えがあります。すべての解決策を見つける方法を紹介します。
問題のモデル化
他の最適化問題と同様に、まず変数を特定し、 必要があります。変数は文字で、1 桁の数字であればどれでもかまいません。 あります。
CP + IS + FUN = TRUE の場合、制約は次のようになります。
- 計算式:
CP + IS + FUN = TRUE
。 - 10 文字はそれぞれ別の数字である必要があります。
C
、I
、F
、T
をゼロにすることはできません(先頭にゼロは書き込まれないため、 あります。
新しい CP-SAT ソルバーは、 元の CP ソルバーよりも効率的です。 両方のソルバーを使用した例を紹介します。最初は CP-SAT です。
CP-SAT ソリューション
変数、制約、ソルバーの呼び出し、最後に 学習します。
ライブラリのインポート
次のコードは、必要なライブラリをインポートします。
Python
from ortools.sat.python import cp_model
C++
#include <stdlib.h> #include <cstdint> #include "ortools/base/logging.h" #include "ortools/sat/cp_model.h" #include "ortools/sat/cp_model.pb.h" #include "ortools/sat/cp_model_solver.h" #include "ortools/sat/model.h" #include "ortools/sat/sat_parameters.pb.h" #include "ortools/util/sorted_interval_list.h"
Java
import com.google.ortools.Loader; import com.google.ortools.sat.CpModel; import com.google.ortools.sat.CpSolver; import com.google.ortools.sat.CpSolverSolutionCallback; import com.google.ortools.sat.IntVar; import com.google.ortools.sat.LinearExpr;
C#
using System; using Google.OrTools.Sat;
モデルを宣言する
次のコードは、問題のモデルを宣言しています。
Python
model = cp_model.CpModel()
C++
CpModelBuilder cp_model;
Java
CpModel model = new CpModel();
C#
CpModel model = new CpModel(); int kBase = 10; IntVar c = model.NewIntVar(1, kBase - 1, "C"); IntVar p = model.NewIntVar(0, kBase - 1, "P"); IntVar i = model.NewIntVar(1, kBase - 1, "I"); IntVar s = model.NewIntVar(0, kBase - 1, "S"); IntVar f = model.NewIntVar(1, kBase - 1, "F"); IntVar u = model.NewIntVar(0, kBase - 1, "U"); IntVar n = model.NewIntVar(0, kBase - 1, "N"); IntVar t = model.NewIntVar(1, kBase - 1, "T"); IntVar r = model.NewIntVar(0, kBase - 1, "R"); IntVar e = model.NewIntVar(0, kBase - 1, "E"); // We need to group variables in a list to use the constraint AllDifferent. IntVar[] letters = new IntVar[] { c, p, i, s, f, u, n, t, r, e }; // Define constraints. model.AddAllDifferent(letters); // CP + IS + FUN = TRUE model.Add(c * kBase + p + i * kBase + s + f * kBase * kBase + u * kBase + n == t * kBase * kBase * kBase + r * kBase * kBase + u * kBase + e); // Creates a solver and solves the model. CpSolver solver = new CpSolver(); VarArraySolutionPrinter cb = new VarArraySolutionPrinter(letters); // Search for all solutions. solver.StringParameters = "enumerate_all_solutions:true"; // And solve. solver.Solve(model, cb); Console.WriteLine("Statistics"); Console.WriteLine($" conflicts : {solver.NumConflicts()}"); Console.WriteLine($" branches : {solver.NumBranches()}"); Console.WriteLine($" wall time : {solver.WallTime()} s"); Console.WriteLine($" number of solutions found: {cb.SolutionCount()}"); } }
変数の定義
CP-SAT ソルバーを使用する際に役立ついくつかのヘルパー メソッドがあります。
定義します。
そのうちの 1 つ、NewIntVar
を使用して、(整数)数字を宣言します。
ゼロになる可能性がある文字と、ゼロになる可能性がある文字を区別します。
できません(C
、I
、F
、T
)。
Python
base = 10 c = model.new_int_var(1, base - 1, "C") p = model.new_int_var(0, base - 1, "P") i = model.new_int_var(1, base - 1, "I") s = model.new_int_var(0, base - 1, "S") f = model.new_int_var(1, base - 1, "F") u = model.new_int_var(0, base - 1, "U") n = model.new_int_var(0, base - 1, "N") t = model.new_int_var(1, base - 1, "T") r = model.new_int_var(0, base - 1, "R") e = model.new_int_var(0, base - 1, "E") # We need to group variables in a list to use the constraint AllDifferent. letters = [c, p, i, s, f, u, n, t, r, e] # Verify that we have enough digits. assert base >= len(letters)
C++
const int64_t kBase = 10; // Define decision variables. Domain digit(0, kBase - 1); Domain non_zero_digit(1, kBase - 1); IntVar c = cp_model.NewIntVar(non_zero_digit).WithName("C"); IntVar p = cp_model.NewIntVar(digit).WithName("P"); IntVar i = cp_model.NewIntVar(non_zero_digit).WithName("I"); IntVar s = cp_model.NewIntVar(digit).WithName("S"); IntVar f = cp_model.NewIntVar(non_zero_digit).WithName("F"); IntVar u = cp_model.NewIntVar(digit).WithName("U"); IntVar n = cp_model.NewIntVar(digit).WithName("N"); IntVar t = cp_model.NewIntVar(non_zero_digit).WithName("T"); IntVar r = cp_model.NewIntVar(digit).WithName("R"); IntVar e = cp_model.NewIntVar(digit).WithName("E");
Java
int base = 10; IntVar c = model.newIntVar(1, base - 1, "C"); IntVar p = model.newIntVar(0, base - 1, "P"); IntVar i = model.newIntVar(1, base - 1, "I"); IntVar s = model.newIntVar(0, base - 1, "S"); IntVar f = model.newIntVar(1, base - 1, "F"); IntVar u = model.newIntVar(0, base - 1, "U"); IntVar n = model.newIntVar(0, base - 1, "N"); IntVar t = model.newIntVar(1, base - 1, "T"); IntVar r = model.newIntVar(0, base - 1, "R"); IntVar e = model.newIntVar(0, base - 1, "E"); // We need to group variables in a list to use the constraint AllDifferent. IntVar[] letters = new IntVar[] {c, p, i, s, f, u, n, t, r, e};
C#
int kBase = 10; IntVar c = model.NewIntVar(1, kBase - 1, "C"); IntVar p = model.NewIntVar(0, kBase - 1, "P"); IntVar i = model.NewIntVar(1, kBase - 1, "I"); IntVar s = model.NewIntVar(0, kBase - 1, "S"); IntVar f = model.NewIntVar(1, kBase - 1, "F"); IntVar u = model.NewIntVar(0, kBase - 1, "U"); IntVar n = model.NewIntVar(0, kBase - 1, "N"); IntVar t = model.NewIntVar(1, kBase - 1, "T"); IntVar r = model.NewIntVar(0, kBase - 1, "R"); IntVar e = model.NewIntVar(0, kBase - 1, "E"); // We need to group variables in a list to use the constraint AllDifferent. IntVar[] letters = new IntVar[] { c, p, i, s, f, u, n, t, r, e };
制約の定義
次は制約ですまず、すべての文字がそれぞれ異なる値であることを確認します。
AddAllDifferent
ヘルパー メソッドを使用します。次に、AddEquality
ヘルパーを使用します。
メソッドを使用して、CP + IS + FUN = TRUE
の等式を適用する制約を作成します。
Python
model.add_all_different(letters) # CP + IS + FUN = TRUE model.add( c * base + p + i * base + s + f * base * base + u * base + n == t * base * base * base + r * base * base + u * base + e )
C++
// Define constraints. cp_model.AddAllDifferent({c, p, i, s, f, u, n, t, r, e}); // CP + IS + FUN = TRUE cp_model.AddEquality( c * kBase + p + i * kBase + s + f * kBase * kBase + u * kBase + n, kBase * kBase * kBase * t + kBase * kBase * r + kBase * u + e);
Java
model.addAllDifferent(letters); // CP + IS + FUN = TRUE model.addEquality(LinearExpr.weightedSum(new IntVar[] {c, p, i, s, f, u, n, t, r, u, e}, new long[] {base, 1, base, 1, base * base, base, 1, -base * base * base, -base * base, -base, -1}), 0);
C#
// Define constraints. model.AddAllDifferent(letters); // CP + IS + FUN = TRUE model.Add(c * kBase + p + i * kBase + s + f * kBase * kBase + u * kBase + n == t * kBase * kBase * kBase + r * kBase * kBase + u * kBase + e);
ソリューション プリンタ
解法として各解答を表示する解答プリンタのコード 表示されます。
Python
class VarArraySolutionPrinter(cp_model.CpSolverSolutionCallback): """Print intermediate solutions.""" def __init__(self, variables: list[cp_model.IntVar]): cp_model.CpSolverSolutionCallback.__init__(self) self.__variables = variables self.__solution_count = 0 def on_solution_callback(self) -> None: self.__solution_count += 1 for v in self.__variables: print(f"{v}={self.value(v)}", end=" ") print() @property def solution_count(self) -> int: return self.__solution_count
C++
Model model; int num_solutions = 0; model.Add(NewFeasibleSolutionObserver([&](const CpSolverResponse& response) { LOG(INFO) << "Solution " << num_solutions; LOG(INFO) << "C=" << SolutionIntegerValue(response, c) << " " << "P=" << SolutionIntegerValue(response, p) << " " << "I=" << SolutionIntegerValue(response, i) << " " << "S=" << SolutionIntegerValue(response, s) << " " << "F=" << SolutionIntegerValue(response, f) << " " << "U=" << SolutionIntegerValue(response, u) << " " << "N=" << SolutionIntegerValue(response, n) << " " << "T=" << SolutionIntegerValue(response, t) << " " << "R=" << SolutionIntegerValue(response, r) << " " << "E=" << SolutionIntegerValue(response, e); num_solutions++; }));
Java
static class VarArraySolutionPrinter extends CpSolverSolutionCallback { public VarArraySolutionPrinter(IntVar[] variables) { variableArray = variables; } @Override public void onSolutionCallback() { for (IntVar v : variableArray) { System.out.printf(" %s = %d", v.getName(), value(v)); } System.out.println(); solutionCount++; } public int getSolutionCount() { return solutionCount; } private int solutionCount; private final IntVar[] variableArray; }
C#
public class VarArraySolutionPrinter : CpSolverSolutionCallback { public VarArraySolutionPrinter(IntVar[] variables) { variables_ = variables; } public override void OnSolutionCallback() { { foreach (IntVar v in variables_) { Console.Write(String.Format(" {0}={1}", v.ToString(), Value(v))); } Console.WriteLine(); solution_count_++; } } public int SolutionCount() { return solution_count_; } private int solution_count_; private IntVar[] variables_; }
ソルバーの呼び出し
最後に問題を解いて解答を表示します。すべての魔法は
operations_research::sat::SolveCpModel()
メソッドを呼び出します。
Python
solver = cp_model.CpSolver() solution_printer = VarArraySolutionPrinter(letters) # Enumerate all solutions. solver.parameters.enumerate_all_solutions = True # Solve. status = solver.solve(model, solution_printer)
C++
// Tell the solver to enumerate all solutions. SatParameters parameters; parameters.set_enumerate_all_solutions(true); model.Add(NewSatParameters(parameters)); const CpSolverResponse response = SolveCpModel(cp_model.Build(), &model); LOG(INFO) << "Number of solutions found: " << num_solutions;
Java
CpSolver solver = new CpSolver(); VarArraySolutionPrinter cb = new VarArraySolutionPrinter(letters); // Tell the solver to enumerate all solutions. solver.getParameters().setEnumerateAllSolutions(true); // And solve. solver.solve(model, cb);
C#
// Creates a solver and solves the model. CpSolver solver = new CpSolver(); VarArraySolutionPrinter cb = new VarArraySolutionPrinter(letters); // Search for all solutions. solver.StringParameters = "enumerate_all_solutions:true"; // And solve. solver.Solve(model, cb);
プログラムを実行すると、次の出力が表示されます。各行が解答を示しています。
C=2 P=3 I=7 S=4 F=9 U=6 N=8 T=1 R=0 E=5 C=2 P=4 I=7 S=3 F=9 U=6 N=8 T=1 R=0 E=5 C=2 P=5 I=7 S=3 F=9 U=4 N=8 T=1 R=0 E=6 C=2 P=8 I=7 S=3 F=9 U=4 N=5 T=1 R=0 E=6 C=2 P=8 I=7 S=3 F=9 U=6 N=4 T=1 R=0 E=5 C=3 P=7 I=6 S=2 F=9 U=8 N=5 T=1 R=0 E=4 C=6 P=7 I=3 S=2 F=9 U=8 N=5 T=1 R=0 E=4 C=6 P=5 I=3 S=2 F=9 U=8 N=7 T=1 R=0 E=4 C=3 P=5 I=6 S=2 F=9 U=8 N=7 T=1 R=0 E=4 C=3 P=8 I=6 S=4 F=9 U=2 N=5 T=1 R=0 E=7 C=3 P=7 I=6 S=5 F=9 U=8 N=2 T=1 R=0 E=4 C=3 P=8 I=6 S=5 F=9 U=2 N=4 T=1 R=0 E=7 C=3 P=5 I=6 S=4 F=9 U=2 N=8 T=1 R=0 E=7 C=3 P=4 I=6 S=5 F=9 U=2 N=8 T=1 R=0 E=7 C=3 P=2 I=6 S=5 F=9 U=8 N=7 T=1 R=0 E=4 C=3 P=4 I=6 S=8 F=9 U=2 N=5 T=1 R=0 E=7 C=3 P=2 I=6 S=7 F=9 U=8 N=5 T=1 R=0 E=4 C=3 P=5 I=6 S=8 F=9 U=2 N=4 T=1 R=0 E=7 C=3 P=5 I=6 S=7 F=9 U=8 N=2 T=1 R=0 E=4 C=2 P=5 I=7 S=6 F=9 U=8 N=3 T=1 R=0 E=4 C=2 P=5 I=7 S=8 F=9 U=4 N=3 T=1 R=0 E=6 C=2 P=6 I=7 S=5 F=9 U=8 N=3 T=1 R=0 E=4 C=2 P=4 I=7 S=8 F=9 U=6 N=3 T=1 R=0 E=5 C=2 P=3 I=7 S=8 F=9 U=6 N=4 T=1 R=0 E=5 C=2 P=8 I=7 S=5 F=9 U=4 N=3 T=1 R=0 E=6 C=2 P=8 I=7 S=4 F=9 U=6 N=3 T=1 R=0 E=5 C=2 P=6 I=7 S=3 F=9 U=8 N=5 T=1 R=0 E=4 C=2 P=5 I=7 S=3 F=9 U=8 N=6 T=1 R=0 E=4 C=2 P=3 I=7 S=5 F=9 U=4 N=8 T=1 R=0 E=6 C=2 P=3 I=7 S=5 F=9 U=8 N=6 T=1 R=0 E=4 C=2 P=3 I=7 S=6 F=9 U=8 N=5 T=1 R=0 E=4 C=2 P=3 I=7 S=8 F=9 U=4 N=5 T=1 R=0 E=6 C=4 P=3 I=5 S=8 F=9 U=2 N=6 T=1 R=0 E=7 C=5 P=3 I=4 S=8 F=9 U=2 N=6 T=1 R=0 E=7 C=6 P=2 I=3 S=7 F=9 U=8 N=5 T=1 R=0 E=4 C=7 P=3 I=2 S=6 F=9 U=8 N=5 T=1 R=0 E=4 C=7 P=3 I=2 S=8 F=9 U=4 N=5 T=1 R=0 E=6 C=6 P=4 I=3 S=8 F=9 U=2 N=5 T=1 R=0 E=7 C=5 P=3 I=4 S=6 F=9 U=2 N=8 T=1 R=0 E=7 C=4 P=3 I=5 S=6 F=9 U=2 N=8 T=1 R=0 E=7 C=5 P=6 I=4 S=3 F=9 U=2 N=8 T=1 R=0 E=7 C=7 P=4 I=2 S=3 F=9 U=6 N=8 T=1 R=0 E=5 C=7 P=3 I=2 S=4 F=9 U=6 N=8 T=1 R=0 E=5 C=6 P=2 I=3 S=5 F=9 U=8 N=7 T=1 R=0 E=4 C=7 P=3 I=2 S=5 F=9 U=4 N=8 T=1 R=0 E=6 C=6 P=4 I=3 S=5 F=9 U=2 N=8 T=1 R=0 E=7 C=6 P=5 I=3 S=4 F=9 U=2 N=8 T=1 R=0 E=7 C=7 P=5 I=2 S=3 F=9 U=4 N=8 T=1 R=0 E=6 C=4 P=6 I=5 S=3 F=9 U=2 N=8 T=1 R=0 E=7 C=6 P=5 I=3 S=8 F=9 U=2 N=4 T=1 R=0 E=7 C=6 P=5 I=3 S=7 F=9 U=8 N=2 T=1 R=0 E=4 C=7 P=5 I=2 S=8 F=9 U=4 N=3 T=1 R=0 E=6 C=7 P=5 I=2 S=6 F=9 U=8 N=3 T=1 R=0 E=4 C=5 P=8 I=4 S=6 F=9 U=2 N=3 T=1 R=0 E=7 C=4 P=8 I=5 S=6 F=9 U=2 N=3 T=1 R=0 E=7 C=4 P=8 I=5 S=3 F=9 U=2 N=6 T=1 R=0 E=7 C=5 P=8 I=4 S=3 F=9 U=2 N=6 T=1 R=0 E=7 C=7 P=8 I=2 S=3 F=9 U=4 N=5 T=1 R=0 E=6 C=7 P=8 I=2 S=3 F=9 U=6 N=4 T=1 R=0 E=5 C=7 P=8 I=2 S=4 F=9 U=6 N=3 T=1 R=0 E=5 C=7 P=8 I=2 S=5 F=9 U=4 N=3 T=1 R=0 E=6 C=6 P=8 I=3 S=5 F=9 U=2 N=4 T=1 R=0 E=7 C=6 P=8 I=3 S=4 F=9 U=2 N=5 T=1 R=0 E=7 C=6 P=7 I=3 S=5 F=9 U=8 N=2 T=1 R=0 E=4 C=7 P=6 I=2 S=5 F=9 U=8 N=3 T=1 R=0 E=4 C=7 P=3 I=2 S=5 F=9 U=8 N=6 T=1 R=0 E=4 C=7 P=4 I=2 S=8 F=9 U=6 N=3 T=1 R=0 E=5 C=7 P=3 I=2 S=8 F=9 U=6 N=4 T=1 R=0 E=5 C=5 P=6 I=4 S=8 F=9 U=2 N=3 T=1 R=0 E=7 C=4 P=6 I=5 S=8 F=9 U=2 N=3 T=1 R=0 E=7 C=7 P=6 I=2 S=3 F=9 U=8 N=5 T=1 R=0 E=4 C=7 P=5 I=2 S=3 F=9 U=8 N=6 T=1 R=0 E=4 Statistics - status : OPTIMAL - conflicts : 110 - branches : 435 - wall time : 0.014934 ms - solutions found : 72
プログラムを完了する
全プログラムは次のとおりです。
Python
"""Cryptarithmetic puzzle. First attempt to solve equation CP + IS + FUN = TRUE where each letter represents a unique digit. This problem has 72 different solutions in base 10. """ from ortools.sat.python import cp_model class VarArraySolutionPrinter(cp_model.CpSolverSolutionCallback): """Print intermediate solutions.""" def __init__(self, variables: list[cp_model.IntVar]): cp_model.CpSolverSolutionCallback.__init__(self) self.__variables = variables self.__solution_count = 0 def on_solution_callback(self) -> None: self.__solution_count += 1 for v in self.__variables: print(f"{v}={self.value(v)}", end=" ") print() @property def solution_count(self) -> int: return self.__solution_count def main() -> None: """solve the CP+IS+FUN==TRUE cryptarithm.""" # Constraint programming engine model = cp_model.CpModel() base = 10 c = model.new_int_var(1, base - 1, "C") p = model.new_int_var(0, base - 1, "P") i = model.new_int_var(1, base - 1, "I") s = model.new_int_var(0, base - 1, "S") f = model.new_int_var(1, base - 1, "F") u = model.new_int_var(0, base - 1, "U") n = model.new_int_var(0, base - 1, "N") t = model.new_int_var(1, base - 1, "T") r = model.new_int_var(0, base - 1, "R") e = model.new_int_var(0, base - 1, "E") # We need to group variables in a list to use the constraint AllDifferent. letters = [c, p, i, s, f, u, n, t, r, e] # Verify that we have enough digits. assert base >= len(letters) # Define constraints. model.add_all_different(letters) # CP + IS + FUN = TRUE model.add( c * base + p + i * base + s + f * base * base + u * base + n == t * base * base * base + r * base * base + u * base + e ) # Creates a solver and solves the model. solver = cp_model.CpSolver() solution_printer = VarArraySolutionPrinter(letters) # Enumerate all solutions. solver.parameters.enumerate_all_solutions = True # Solve. status = solver.solve(model, solution_printer) # Statistics. print("\nStatistics") print(f" status : {solver.status_name(status)}") print(f" conflicts: {solver.num_conflicts}") print(f" branches : {solver.num_branches}") print(f" wall time: {solver.wall_time} s") print(f" sol found: {solution_printer.solution_count}") if __name__ == "__main__": main()
C++
// Cryptarithmetic puzzle // // First attempt to solve equation CP + IS + FUN = TRUE // where each letter represents a unique digit. // // This problem has 72 different solutions in base 10. #include <stdlib.h> #include <cstdint> #include "ortools/base/logging.h" #include "ortools/sat/cp_model.h" #include "ortools/sat/cp_model.pb.h" #include "ortools/sat/cp_model_solver.h" #include "ortools/sat/model.h" #include "ortools/sat/sat_parameters.pb.h" #include "ortools/util/sorted_interval_list.h" namespace operations_research { namespace sat { void CPIsFunSat() { // Instantiate the solver. CpModelBuilder cp_model; const int64_t kBase = 10; // Define decision variables. Domain digit(0, kBase - 1); Domain non_zero_digit(1, kBase - 1); IntVar c = cp_model.NewIntVar(non_zero_digit).WithName("C"); IntVar p = cp_model.NewIntVar(digit).WithName("P"); IntVar i = cp_model.NewIntVar(non_zero_digit).WithName("I"); IntVar s = cp_model.NewIntVar(digit).WithName("S"); IntVar f = cp_model.NewIntVar(non_zero_digit).WithName("F"); IntVar u = cp_model.NewIntVar(digit).WithName("U"); IntVar n = cp_model.NewIntVar(digit).WithName("N"); IntVar t = cp_model.NewIntVar(non_zero_digit).WithName("T"); IntVar r = cp_model.NewIntVar(digit).WithName("R"); IntVar e = cp_model.NewIntVar(digit).WithName("E"); // Define constraints. cp_model.AddAllDifferent({c, p, i, s, f, u, n, t, r, e}); // CP + IS + FUN = TRUE cp_model.AddEquality( c * kBase + p + i * kBase + s + f * kBase * kBase + u * kBase + n, kBase * kBase * kBase * t + kBase * kBase * r + kBase * u + e); Model model; int num_solutions = 0; model.Add(NewFeasibleSolutionObserver([&](const CpSolverResponse& response) { LOG(INFO) << "Solution " << num_solutions; LOG(INFO) << "C=" << SolutionIntegerValue(response, c) << " " << "P=" << SolutionIntegerValue(response, p) << " " << "I=" << SolutionIntegerValue(response, i) << " " << "S=" << SolutionIntegerValue(response, s) << " " << "F=" << SolutionIntegerValue(response, f) << " " << "U=" << SolutionIntegerValue(response, u) << " " << "N=" << SolutionIntegerValue(response, n) << " " << "T=" << SolutionIntegerValue(response, t) << " " << "R=" << SolutionIntegerValue(response, r) << " " << "E=" << SolutionIntegerValue(response, e); num_solutions++; })); // Tell the solver to enumerate all solutions. SatParameters parameters; parameters.set_enumerate_all_solutions(true); model.Add(NewSatParameters(parameters)); const CpSolverResponse response = SolveCpModel(cp_model.Build(), &model); LOG(INFO) << "Number of solutions found: " << num_solutions; // Statistics. LOG(INFO) << "Statistics"; LOG(INFO) << CpSolverResponseStats(response); } } // namespace sat } // namespace operations_research int main(int argc, char** argv) { operations_research::sat::CPIsFunSat(); return EXIT_SUCCESS; }
Java
package com.google.ortools.sat.samples; import com.google.ortools.Loader; import com.google.ortools.sat.CpModel; import com.google.ortools.sat.CpSolver; import com.google.ortools.sat.CpSolverSolutionCallback; import com.google.ortools.sat.IntVar; import com.google.ortools.sat.LinearExpr; /** Cryptarithmetic puzzle. */ public final class CpIsFunSat { static class VarArraySolutionPrinter extends CpSolverSolutionCallback { public VarArraySolutionPrinter(IntVar[] variables) { variableArray = variables; } @Override public void onSolutionCallback() { for (IntVar v : variableArray) { System.out.printf(" %s = %d", v.getName(), value(v)); } System.out.println(); solutionCount++; } public int getSolutionCount() { return solutionCount; } private int solutionCount; private final IntVar[] variableArray; } public static void main(String[] args) throws Exception { Loader.loadNativeLibraries(); // Create the model. CpModel model = new CpModel(); int base = 10; IntVar c = model.newIntVar(1, base - 1, "C"); IntVar p = model.newIntVar(0, base - 1, "P"); IntVar i = model.newIntVar(1, base - 1, "I"); IntVar s = model.newIntVar(0, base - 1, "S"); IntVar f = model.newIntVar(1, base - 1, "F"); IntVar u = model.newIntVar(0, base - 1, "U"); IntVar n = model.newIntVar(0, base - 1, "N"); IntVar t = model.newIntVar(1, base - 1, "T"); IntVar r = model.newIntVar(0, base - 1, "R"); IntVar e = model.newIntVar(0, base - 1, "E"); // We need to group variables in a list to use the constraint AllDifferent. IntVar[] letters = new IntVar[] {c, p, i, s, f, u, n, t, r, e}; // Define constraints. model.addAllDifferent(letters); // CP + IS + FUN = TRUE model.addEquality(LinearExpr.weightedSum(new IntVar[] {c, p, i, s, f, u, n, t, r, u, e}, new long[] {base, 1, base, 1, base * base, base, 1, -base * base * base, -base * base, -base, -1}), 0); // Create a solver and solve the model. CpSolver solver = new CpSolver(); VarArraySolutionPrinter cb = new VarArraySolutionPrinter(letters); // Tell the solver to enumerate all solutions. solver.getParameters().setEnumerateAllSolutions(true); // And solve. solver.solve(model, cb); // Statistics. System.out.println("Statistics"); System.out.println(" - conflicts : " + solver.numConflicts()); System.out.println(" - branches : " + solver.numBranches()); System.out.println(" - wall time : " + solver.wallTime() + " s"); System.out.println(" - solutions : " + cb.getSolutionCount()); } private CpIsFunSat() {} }
C#
// Cryptarithmetic puzzle // // First attempt to solve equation CP + IS + FUN = TRUE // where each letter represents a unique digit. // // This problem has 72 different solutions in base 10. using System; using Google.OrTools.Sat; public class CpIsFunSat { public class VarArraySolutionPrinter : CpSolverSolutionCallback { public VarArraySolutionPrinter(IntVar[] variables) { variables_ = variables; } public override void OnSolutionCallback() { { foreach (IntVar v in variables_) { Console.Write(String.Format(" {0}={1}", v.ToString(), Value(v))); } Console.WriteLine(); solution_count_++; } } public int SolutionCount() { return solution_count_; } private int solution_count_; private IntVar[] variables_; } // Solve the CP+IS+FUN==TRUE cryptarithm. static void Main() { // Constraint programming engine CpModel model = new CpModel(); int kBase = 10; IntVar c = model.NewIntVar(1, kBase - 1, "C"); IntVar p = model.NewIntVar(0, kBase - 1, "P"); IntVar i = model.NewIntVar(1, kBase - 1, "I"); IntVar s = model.NewIntVar(0, kBase - 1, "S"); IntVar f = model.NewIntVar(1, kBase - 1, "F"); IntVar u = model.NewIntVar(0, kBase - 1, "U"); IntVar n = model.NewIntVar(0, kBase - 1, "N"); IntVar t = model.NewIntVar(1, kBase - 1, "T"); IntVar r = model.NewIntVar(0, kBase - 1, "R"); IntVar e = model.NewIntVar(0, kBase - 1, "E"); // We need to group variables in a list to use the constraint AllDifferent. IntVar[] letters = new IntVar[] { c, p, i, s, f, u, n, t, r, e }; // Define constraints. model.AddAllDifferent(letters); // CP + IS + FUN = TRUE model.Add(c * kBase + p + i * kBase + s + f * kBase * kBase + u * kBase + n == t * kBase * kBase * kBase + r * kBase * kBase + u * kBase + e); // Creates a solver and solves the model. CpSolver solver = new CpSolver(); VarArraySolutionPrinter cb = new VarArraySolutionPrinter(letters); // Search for all solutions. solver.StringParameters = "enumerate_all_solutions:true"; // And solve. solver.Solve(model, cb); Console.WriteLine("Statistics"); Console.WriteLine($" conflicts : {solver.NumConflicts()}"); Console.WriteLine($" branches : {solver.NumBranches()}"); Console.WriteLine($" wall time : {solver.WallTime()} s"); Console.WriteLine($" number of solutions found: {cb.SolutionCount()}"); } }
元の CP ソリューション
この場合、底を変数として扱うため、方程式を解くことができます
必要があります(基盤となるソリューションは
CP + IS + FUN = TRUE
。10 文字がすべて異なる必要があるためです)。
ライブラリのインポート
次のコードは、必要なライブラリをインポートします。
Python
from ortools.constraint_solver import pywrapcp
C++
#include <cstdint> #include <vector> #include "absl/flags/flag.h" #include "absl/log/flags.h" #include "ortools/base/init_google.h" #include "ortools/base/logging.h" #include "ortools/constraint_solver/constraint_solver.h"
Java
C#
using System; using Google.OrTools.ConstraintSolver;
ソルバーを作成する
まず、Solver
を作成します。
Python
solver = pywrapcp.Solver("CP is fun!")
C++
Solver solver("CP is fun!");
Java
Solver solver = new Solver("CP is fun!");
C#
Solver solver = new Solver("CP is fun!");
変数の定義
まず、文字ごとに IntVar
を作成します。Google では、
ゼロになり得る文字とそうでない文字(C
、I
、F
、
および T
など)。
次に、各文字に対応する新しい IntVar
を含む配列を作成します。これは、
制約を定義するときは
AllDifferent
であるため、すべての要素が異なる配列が必要です。
最後に、底が少なくとも文字の数と同じ大きさであることを確認します。 そうでなければ解決策はありません
Python
base = 10 # Decision variables. digits = list(range(0, base)) digits_without_zero = list(range(1, base)) c = solver.IntVar(digits_without_zero, "C") p = solver.IntVar(digits, "P") i = solver.IntVar(digits_without_zero, "I") s = solver.IntVar(digits, "S") f = solver.IntVar(digits_without_zero, "F") u = solver.IntVar(digits, "U") n = solver.IntVar(digits, "N") t = solver.IntVar(digits_without_zero, "T") r = solver.IntVar(digits, "R") e = solver.IntVar(digits, "E") # We need to group variables in a list to use the constraint AllDifferent. letters = [c, p, i, s, f, u, n, t, r, e] # Verify that we have enough digits. assert base >= len(letters)
C++
const int64_t kBase = 10; // Define decision variables. IntVar* const c = solver.MakeIntVar(1, kBase - 1, "C"); IntVar* const p = solver.MakeIntVar(0, kBase - 1, "P"); IntVar* const i = solver.MakeIntVar(1, kBase - 1, "I"); IntVar* const s = solver.MakeIntVar(0, kBase - 1, "S"); IntVar* const f = solver.MakeIntVar(1, kBase - 1, "F"); IntVar* const u = solver.MakeIntVar(0, kBase - 1, "U"); IntVar* const n = solver.MakeIntVar(0, kBase - 1, "N"); IntVar* const t = solver.MakeIntVar(1, kBase - 1, "T"); IntVar* const r = solver.MakeIntVar(0, kBase - 1, "R"); IntVar* const e = solver.MakeIntVar(0, kBase - 1, "E"); // We need to group variables in a vector to be able to use // the global constraint AllDifferent std::vector<IntVar*> letters{c, p, i, s, f, u, n, t, r, e}; // Check if we have enough digits CHECK_GE(kBase, letters.size());
Java
final int base = 10; // Decision variables. final IntVar c = solver.makeIntVar(1, base - 1, "C"); final IntVar p = solver.makeIntVar(0, base - 1, "P"); final IntVar i = solver.makeIntVar(1, base - 1, "I"); final IntVar s = solver.makeIntVar(0, base - 1, "S"); final IntVar f = solver.makeIntVar(1, base - 1, "F"); final IntVar u = solver.makeIntVar(0, base - 1, "U"); final IntVar n = solver.makeIntVar(0, base - 1, "N"); final IntVar t = solver.makeIntVar(1, base - 1, "T"); final IntVar r = solver.makeIntVar(0, base - 1, "R"); final IntVar e = solver.makeIntVar(0, base - 1, "E"); // Group variables in a vector so that we can use AllDifferent. final IntVar[] letters = new IntVar[] {c, p, i, s, f, u, n, t, r, e}; // Verify that we have enough digits. if (base < letters.length) { throw new Exception("base < letters.Length"); }
C#
const int kBase = 10; // Decision variables. IntVar c = solver.MakeIntVar(1, kBase - 1, "C"); IntVar p = solver.MakeIntVar(0, kBase - 1, "P"); IntVar i = solver.MakeIntVar(1, kBase - 1, "I"); IntVar s = solver.MakeIntVar(0, kBase - 1, "S"); IntVar f = solver.MakeIntVar(1, kBase - 1, "F"); IntVar u = solver.MakeIntVar(0, kBase - 1, "U"); IntVar n = solver.MakeIntVar(0, kBase - 1, "N"); IntVar t = solver.MakeIntVar(1, kBase - 1, "T"); IntVar r = solver.MakeIntVar(0, kBase - 1, "R"); IntVar e = solver.MakeIntVar(0, kBase - 1, "E"); // Group variables in a vector so that we can use AllDifferent. IntVar[] letters = new IntVar[] { c, p, i, s, f, u, n, t, r, e }; // Verify that we have enough digits. if (kBase < letters.Length) { throw new Exception("kBase < letters.Length"); }
制約の定義
変数を定義したところで、次のステップは制約の定義です。
まず、AllDifferent
制約を追加し、各文字に
数字が異なるためです。
次に、CP + IS + FUN = TRUE
制約を追加します。サンプル プログラムでは、この処理を行います。
いくつかあります。
Python
solver.Add(solver.AllDifferent(letters)) # CP + IS + FUN = TRUE solver.Add( p + s + n + base * (c + i + u) + base * base * f == e + base * u + base * base * r + base * base * base * t )
C++
// Define constraints. solver.AddConstraint(solver.MakeAllDifferent(letters)); // CP + IS + FUN = TRUE IntVar* const term1 = MakeBaseLine2(&solver, c, p, kBase); IntVar* const term2 = MakeBaseLine2(&solver, i, s, kBase); IntVar* const term3 = MakeBaseLine3(&solver, f, u, n, kBase); IntVar* const sum_terms = solver.MakeSum(solver.MakeSum(term1, term2), term3)->Var(); IntVar* const sum = MakeBaseLine4(&solver, t, r, u, e, kBase); solver.AddConstraint(solver.MakeEquality(sum_terms, sum));
Java
solver.addConstraint(solver.makeAllDifferent(letters)); // CP + IS + FUN = TRUE final IntVar sum1 = solver .makeSum(new IntVar[] {p, s, n, solver.makeProd(solver.makeSum(new IntVar[] {c, i, u}).var(), base).var(), solver.makeProd(f, base * base).var()}) .var(); final IntVar sum2 = solver .makeSum(new IntVar[] {e, solver.makeProd(u, base).var(), solver.makeProd(r, base * base).var(), solver.makeProd(t, base * base * base).var()}) .var(); solver.addConstraint(solver.makeEquality(sum1, sum2));
C#
solver.Add(letters.AllDifferent()); // CP + IS + FUN = TRUE solver.Add(p + s + n + kBase * (c + i + u) + kBase * kBase * f == e + kBase * u + kBase * kBase * r + kBase * kBase * kBase * t);
ソルバーの呼び出し
変数と制約が用意できたので、いよいよ解決できます。
解法として各解答を表示する解答プリンタのコード 表示されます。
この問題には複数の解決策があるため、すべての解決策を
while solver.NextSolution()
ループを使用して解答を導き出すことができます。単に
次のようなイディオムを使用します。
if (solver.NextSolution()) { // Print solution. } else { // Print that no solution could be found. }
Python
solution_count = 0 db = solver.Phase(letters, solver.INT_VAR_DEFAULT, solver.INT_VALUE_DEFAULT) solver.NewSearch(db) while solver.NextSolution(): print(letters) # Is CP + IS + FUN = TRUE? assert ( base * c.Value() + p.Value() + base * i.Value() + s.Value() + base * base * f.Value() + base * u.Value() + n.Value() == base * base * base * t.Value() + base * base * r.Value() + base * u.Value() + e.Value() ) solution_count += 1 solver.EndSearch() print(f"Number of solutions found: {solution_count}")
C++
int num_solutions = 0; // Create decision builder to search for solutions. DecisionBuilder* const db = solver.MakePhase( letters, Solver::CHOOSE_FIRST_UNBOUND, Solver::ASSIGN_MIN_VALUE); solver.NewSearch(db); while (solver.NextSolution()) { LOG(INFO) << "C=" << c->Value() << " " << "P=" << p->Value() << " " << "I=" << i->Value() << " " << "S=" << s->Value() << " " << "F=" << f->Value() << " " << "U=" << u->Value() << " " << "N=" << n->Value() << " " << "T=" << t->Value() << " " << "R=" << r->Value() << " " << "E=" << e->Value(); // Is CP + IS + FUN = TRUE? CHECK_EQ(p->Value() + s->Value() + n->Value() + kBase * (c->Value() + i->Value() + u->Value()) + kBase * kBase * f->Value(), e->Value() + kBase * u->Value() + kBase * kBase * r->Value() + kBase * kBase * kBase * t->Value()); num_solutions++; } solver.EndSearch(); LOG(INFO) << "Number of solutions found: " << num_solutions;
Java
int countSolution = 0; // Create the decision builder to search for solutions. final DecisionBuilder db = solver.makePhase(letters, Solver.CHOOSE_FIRST_UNBOUND, Solver.ASSIGN_MIN_VALUE); solver.newSearch(db); while (solver.nextSolution()) { System.out.println("C=" + c.value() + " P=" + p.value()); System.out.println(" I=" + i.value() + " S=" + s.value()); System.out.println(" F=" + f.value() + " U=" + u.value()); System.out.println(" N=" + n.value() + " T=" + t.value()); System.out.println(" R=" + r.value() + " E=" + e.value()); // Is CP + IS + FUN = TRUE? if (p.value() + s.value() + n.value() + base * (c.value() + i.value() + u.value()) + base * base * f.value() != e.value() + base * u.value() + base * base * r.value() + base * base * base * t.value()) { throw new Exception("CP + IS + FUN != TRUE"); } countSolution++; } solver.endSearch(); System.out.println("Number of solutions found: " + countSolution);
C#
int SolutionCount = 0; // Create the decision builder to search for solutions. DecisionBuilder db = solver.MakePhase(letters, Solver.CHOOSE_FIRST_UNBOUND, Solver.ASSIGN_MIN_VALUE); solver.NewSearch(db); while (solver.NextSolution()) { Console.Write("C=" + c.Value() + " P=" + p.Value()); Console.Write(" I=" + i.Value() + " S=" + s.Value()); Console.Write(" F=" + f.Value() + " U=" + u.Value()); Console.Write(" N=" + n.Value() + " T=" + t.Value()); Console.Write(" R=" + r.Value() + " E=" + e.Value()); Console.WriteLine(); // Is CP + IS + FUN = TRUE? if (p.Value() + s.Value() + n.Value() + kBase * (c.Value() + i.Value() + u.Value()) + kBase * kBase * f.Value() != e.Value() + kBase * u.Value() + kBase * kBase * r.Value() + kBase * kBase * kBase * t.Value()) { throw new Exception("CP + IS + FUN != TRUE"); } SolutionCount++; } solver.EndSearch(); Console.WriteLine($"Number of solutions found: {SolutionCount}");
プログラムを完了する
全プログラムは次のとおりです。
Python
"""Cryptarithmetic puzzle. First attempt to solve equation CP + IS + FUN = TRUE where each letter represents a unique digit. This problem has 72 different solutions in base 10. """ from ortools.constraint_solver import pywrapcp def main(): # Constraint programming engine solver = pywrapcp.Solver("CP is fun!") base = 10 # Decision variables. digits = list(range(0, base)) digits_without_zero = list(range(1, base)) c = solver.IntVar(digits_without_zero, "C") p = solver.IntVar(digits, "P") i = solver.IntVar(digits_without_zero, "I") s = solver.IntVar(digits, "S") f = solver.IntVar(digits_without_zero, "F") u = solver.IntVar(digits, "U") n = solver.IntVar(digits, "N") t = solver.IntVar(digits_without_zero, "T") r = solver.IntVar(digits, "R") e = solver.IntVar(digits, "E") # We need to group variables in a list to use the constraint AllDifferent. letters = [c, p, i, s, f, u, n, t, r, e] # Verify that we have enough digits. assert base >= len(letters) # Define constraints. solver.Add(solver.AllDifferent(letters)) # CP + IS + FUN = TRUE solver.Add( p + s + n + base * (c + i + u) + base * base * f == e + base * u + base * base * r + base * base * base * t ) solution_count = 0 db = solver.Phase(letters, solver.INT_VAR_DEFAULT, solver.INT_VALUE_DEFAULT) solver.NewSearch(db) while solver.NextSolution(): print(letters) # Is CP + IS + FUN = TRUE? assert ( base * c.Value() + p.Value() + base * i.Value() + s.Value() + base * base * f.Value() + base * u.Value() + n.Value() == base * base * base * t.Value() + base * base * r.Value() + base * u.Value() + e.Value() ) solution_count += 1 solver.EndSearch() print(f"Number of solutions found: {solution_count}") if __name__ == "__main__": main()
C++
// Cryptarithmetic puzzle // // First attempt to solve equation CP + IS + FUN = TRUE // where each letter represents a unique digit. // // This problem has 72 different solutions in base 10. #include <cstdint> #include <vector> #include "absl/flags/flag.h" #include "absl/log/flags.h" #include "ortools/base/init_google.h" #include "ortools/base/logging.h" #include "ortools/constraint_solver/constraint_solver.h" namespace operations_research { // Helper functions. IntVar* MakeBaseLine2(Solver* s, IntVar* const v1, IntVar* const v2, const int64_t base) { return s->MakeSum(s->MakeProd(v1, base), v2)->Var(); } IntVar* MakeBaseLine3(Solver* s, IntVar* const v1, IntVar* const v2, IntVar* const v3, const int64_t base) { std::vector<IntVar*> tmp_vars; std::vector<int64_t> coefficients; tmp_vars.push_back(v1); coefficients.push_back(base * base); tmp_vars.push_back(v2); coefficients.push_back(base); tmp_vars.push_back(v3); coefficients.push_back(1); return s->MakeScalProd(tmp_vars, coefficients)->Var(); } IntVar* MakeBaseLine4(Solver* s, IntVar* const v1, IntVar* const v2, IntVar* const v3, IntVar* const v4, const int64_t base) { std::vector<IntVar*> tmp_vars; std::vector<int64_t> coefficients; tmp_vars.push_back(v1); coefficients.push_back(base * base * base); tmp_vars.push_back(v2); coefficients.push_back(base * base); tmp_vars.push_back(v3); coefficients.push_back(base); tmp_vars.push_back(v4); coefficients.push_back(1); return s->MakeScalProd(tmp_vars, coefficients)->Var(); } void CPIsFunCp() { // Instantiate the solver. Solver solver("CP is fun!"); const int64_t kBase = 10; // Define decision variables. IntVar* const c = solver.MakeIntVar(1, kBase - 1, "C"); IntVar* const p = solver.MakeIntVar(0, kBase - 1, "P"); IntVar* const i = solver.MakeIntVar(1, kBase - 1, "I"); IntVar* const s = solver.MakeIntVar(0, kBase - 1, "S"); IntVar* const f = solver.MakeIntVar(1, kBase - 1, "F"); IntVar* const u = solver.MakeIntVar(0, kBase - 1, "U"); IntVar* const n = solver.MakeIntVar(0, kBase - 1, "N"); IntVar* const t = solver.MakeIntVar(1, kBase - 1, "T"); IntVar* const r = solver.MakeIntVar(0, kBase - 1, "R"); IntVar* const e = solver.MakeIntVar(0, kBase - 1, "E"); // We need to group variables in a vector to be able to use // the global constraint AllDifferent std::vector<IntVar*> letters{c, p, i, s, f, u, n, t, r, e}; // Check if we have enough digits CHECK_GE(kBase, letters.size()); // Define constraints. solver.AddConstraint(solver.MakeAllDifferent(letters)); // CP + IS + FUN = TRUE IntVar* const term1 = MakeBaseLine2(&solver, c, p, kBase); IntVar* const term2 = MakeBaseLine2(&solver, i, s, kBase); IntVar* const term3 = MakeBaseLine3(&solver, f, u, n, kBase); IntVar* const sum_terms = solver.MakeSum(solver.MakeSum(term1, term2), term3)->Var(); IntVar* const sum = MakeBaseLine4(&solver, t, r, u, e, kBase); solver.AddConstraint(solver.MakeEquality(sum_terms, sum)); int num_solutions = 0; // Create decision builder to search for solutions. DecisionBuilder* const db = solver.MakePhase( letters, Solver::CHOOSE_FIRST_UNBOUND, Solver::ASSIGN_MIN_VALUE); solver.NewSearch(db); while (solver.NextSolution()) { LOG(INFO) << "C=" << c->Value() << " " << "P=" << p->Value() << " " << "I=" << i->Value() << " " << "S=" << s->Value() << " " << "F=" << f->Value() << " " << "U=" << u->Value() << " " << "N=" << n->Value() << " " << "T=" << t->Value() << " " << "R=" << r->Value() << " " << "E=" << e->Value(); // Is CP + IS + FUN = TRUE? CHECK_EQ(p->Value() + s->Value() + n->Value() + kBase * (c->Value() + i->Value() + u->Value()) + kBase * kBase * f->Value(), e->Value() + kBase * u->Value() + kBase * kBase * r->Value() + kBase * kBase * kBase * t->Value()); num_solutions++; } solver.EndSearch(); LOG(INFO) << "Number of solutions found: " << num_solutions; } } // namespace operations_research int main(int argc, char** argv) { InitGoogle(argv[0], &argc, &argv, true); absl::SetFlag(&FLAGS_stderrthreshold, 0); operations_research::CPIsFunCp(); return EXIT_SUCCESS; }
Java
// Cryptarithmetic puzzle // // First attempt to solve equation CP + IS + FUN = TRUE // where each letter represents a unique digit. // // This problem has 72 different solutions in base 10. package com.google.ortools.constraintsolver.samples; import com.google.ortools.Loader; import com.google.ortools.constraintsolver.DecisionBuilder; import com.google.ortools.constraintsolver.IntVar; import com.google.ortools.constraintsolver.Solver; /** Cryptarithmetic puzzle. */ public final class CpIsFunCp { public static void main(String[] args) throws Exception { Loader.loadNativeLibraries(); // Instantiate the solver. Solver solver = new Solver("CP is fun!"); final int base = 10; // Decision variables. final IntVar c = solver.makeIntVar(1, base - 1, "C"); final IntVar p = solver.makeIntVar(0, base - 1, "P"); final IntVar i = solver.makeIntVar(1, base - 1, "I"); final IntVar s = solver.makeIntVar(0, base - 1, "S"); final IntVar f = solver.makeIntVar(1, base - 1, "F"); final IntVar u = solver.makeIntVar(0, base - 1, "U"); final IntVar n = solver.makeIntVar(0, base - 1, "N"); final IntVar t = solver.makeIntVar(1, base - 1, "T"); final IntVar r = solver.makeIntVar(0, base - 1, "R"); final IntVar e = solver.makeIntVar(0, base - 1, "E"); // Group variables in a vector so that we can use AllDifferent. final IntVar[] letters = new IntVar[] {c, p, i, s, f, u, n, t, r, e}; // Verify that we have enough digits. if (base < letters.length) { throw new Exception("base < letters.Length"); } // Define constraints. solver.addConstraint(solver.makeAllDifferent(letters)); // CP + IS + FUN = TRUE final IntVar sum1 = solver .makeSum(new IntVar[] {p, s, n, solver.makeProd(solver.makeSum(new IntVar[] {c, i, u}).var(), base).var(), solver.makeProd(f, base * base).var()}) .var(); final IntVar sum2 = solver .makeSum(new IntVar[] {e, solver.makeProd(u, base).var(), solver.makeProd(r, base * base).var(), solver.makeProd(t, base * base * base).var()}) .var(); solver.addConstraint(solver.makeEquality(sum1, sum2)); int countSolution = 0; // Create the decision builder to search for solutions. final DecisionBuilder db = solver.makePhase(letters, Solver.CHOOSE_FIRST_UNBOUND, Solver.ASSIGN_MIN_VALUE); solver.newSearch(db); while (solver.nextSolution()) { System.out.println("C=" + c.value() + " P=" + p.value()); System.out.println(" I=" + i.value() + " S=" + s.value()); System.out.println(" F=" + f.value() + " U=" + u.value()); System.out.println(" N=" + n.value() + " T=" + t.value()); System.out.println(" R=" + r.value() + " E=" + e.value()); // Is CP + IS + FUN = TRUE? if (p.value() + s.value() + n.value() + base * (c.value() + i.value() + u.value()) + base * base * f.value() != e.value() + base * u.value() + base * base * r.value() + base * base * base * t.value()) { throw new Exception("CP + IS + FUN != TRUE"); } countSolution++; } solver.endSearch(); System.out.println("Number of solutions found: " + countSolution); } private CpIsFunCp() {} }
C#
// Cryptarithmetic puzzle // // First attempt to solve equation CP + IS + FUN = TRUE // where each letter represents a unique digit. // // This problem has 72 different solutions in base 10. using System; using Google.OrTools.ConstraintSolver; public class CpIsFunCp { public static void Main(String[] args) { // Instantiate the solver. Solver solver = new Solver("CP is fun!"); const int kBase = 10; // Decision variables. IntVar c = solver.MakeIntVar(1, kBase - 1, "C"); IntVar p = solver.MakeIntVar(0, kBase - 1, "P"); IntVar i = solver.MakeIntVar(1, kBase - 1, "I"); IntVar s = solver.MakeIntVar(0, kBase - 1, "S"); IntVar f = solver.MakeIntVar(1, kBase - 1, "F"); IntVar u = solver.MakeIntVar(0, kBase - 1, "U"); IntVar n = solver.MakeIntVar(0, kBase - 1, "N"); IntVar t = solver.MakeIntVar(1, kBase - 1, "T"); IntVar r = solver.MakeIntVar(0, kBase - 1, "R"); IntVar e = solver.MakeIntVar(0, kBase - 1, "E"); // Group variables in a vector so that we can use AllDifferent. IntVar[] letters = new IntVar[] { c, p, i, s, f, u, n, t, r, e }; // Verify that we have enough digits. if (kBase < letters.Length) { throw new Exception("kBase < letters.Length"); } // Define constraints. solver.Add(letters.AllDifferent()); // CP + IS + FUN = TRUE solver.Add(p + s + n + kBase * (c + i + u) + kBase * kBase * f == e + kBase * u + kBase * kBase * r + kBase * kBase * kBase * t); int SolutionCount = 0; // Create the decision builder to search for solutions. DecisionBuilder db = solver.MakePhase(letters, Solver.CHOOSE_FIRST_UNBOUND, Solver.ASSIGN_MIN_VALUE); solver.NewSearch(db); while (solver.NextSolution()) { Console.Write("C=" + c.Value() + " P=" + p.Value()); Console.Write(" I=" + i.Value() + " S=" + s.Value()); Console.Write(" F=" + f.Value() + " U=" + u.Value()); Console.Write(" N=" + n.Value() + " T=" + t.Value()); Console.Write(" R=" + r.Value() + " E=" + e.Value()); Console.WriteLine(); // Is CP + IS + FUN = TRUE? if (p.Value() + s.Value() + n.Value() + kBase * (c.Value() + i.Value() + u.Value()) + kBase * kBase * f.Value() != e.Value() + kBase * u.Value() + kBase * kBase * r.Value() + kBase * kBase * kBase * t.Value()) { throw new Exception("CP + IS + FUN != TRUE"); } SolutionCount++; } solver.EndSearch(); Console.WriteLine($"Number of solutions found: {SolutionCount}"); } }