結果
問題 | No.1122 Plane Tickets |
ユーザー | koyumeishi |
提出日時 | 2020-07-23 09:00:00 |
言語 | Python3 (3.12.2 + numpy 1.26.4 + scipy 1.12.0) |
結果 |
RE
|
実行時間 | - |
コード長 | 2,251 bytes |
コンパイル時間 | 654 ms |
コンパイル使用メモリ | 13,056 KB |
実行使用メモリ | 44,924 KB |
最終ジャッジ日時 | 2024-06-23 17:07:58 |
合計ジャッジ時間 | 32,735 ms |
ジャッジサーバーID (参考情報) |
judge4 / judge1 |
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テストケース
テストケース表示入力 | 結果 | 実行時間 実行使用メモリ |
---|---|---|
testcase_00 | RE | - |
testcase_01 | RE | - |
testcase_02 | RE | - |
testcase_03 | RE | - |
testcase_04 | RE | - |
testcase_05 | RE | - |
testcase_06 | RE | - |
testcase_07 | RE | - |
testcase_08 | RE | - |
testcase_09 | RE | - |
testcase_10 | RE | - |
testcase_11 | RE | - |
testcase_12 | RE | - |
testcase_13 | RE | - |
testcase_14 | RE | - |
testcase_15 | RE | - |
testcase_16 | RE | - |
testcase_17 | RE | - |
testcase_18 | RE | - |
testcase_19 | RE | - |
testcase_20 | RE | - |
testcase_21 | RE | - |
testcase_22 | RE | - |
testcase_23 | RE | - |
testcase_24 | RE | - |
testcase_25 | RE | - |
testcase_26 | RE | - |
testcase_27 | RE | - |
testcase_28 | RE | - |
testcase_29 | RE | - |
testcase_30 | RE | - |
testcase_31 | RE | - |
testcase_32 | RE | - |
testcase_33 | RE | - |
testcase_34 | RE | - |
testcase_35 | RE | - |
testcase_36 | RE | - |
testcase_37 | RE | - |
testcase_38 | RE | - |
testcase_39 | RE | - |
testcase_40 | RE | - |
testcase_41 | RE | - |
testcase_42 | RE | - |
testcase_43 | RE | - |
testcase_44 | RE | - |
testcase_45 | RE | - |
testcase_46 | RE | - |
testcase_47 | RE | - |
testcase_48 | RE | - |
testcase_49 | RE | - |
testcase_50 | RE | - |
testcase_51 | RE | - |
testcase_52 | RE | - |
testcase_53 | RE | - |
testcase_54 | RE | - |
testcase_55 | RE | - |
testcase_56 | RE | - |
ソースコード
from __future__ import print_function import numpy as np from pprint import pprint from ortools.linear_solver import pywraplp def mip_ortools(a): solver = pywraplp.Solver('mip_program', pywraplp.Solver.CBC_MIXED_INTEGER_PROGRAMMING) infinity = solver.infinity() x = [solver.IntVar(0.0, infinity, f'x_{i}') for i in range(5)] for i in range(5): solver.Add(sum(x[(i+j)%5] for j in range(3)) <= a[i]) solver.Maximize(sum(x)) status = solver.Solve() if status == pywraplp.Solver.OPTIMAL: print('OPTIMAL') print('Solution:') print('Objective value =', solver.Objective().Value()) for i in range(5): print(f'x_{i} =', x[i].solution_value()) else: print('The problem does not have an optimal solution.') print(list(map(lambda w: w.solution_value(), x))) return int(solver.Objective().Value()) import pulp import sys def mip_pulp(a): problem = pulp.LpProblem("prob", pulp.LpMaximize) x = [pulp.LpVariable(f'x_{i}', 0, sys.maxsize, pulp.LpInteger) for i in range(5)] problem += (sum(x), "Objective") for i in range(5): problem += (sum(x[(i+j)%5] for j in range(3)) <= a[i], f'Constraint_{i}') print(problem) res = problem.solve() print(f"Status = {pulp.LpStatus[res]}") print(f"Objective = {pulp.value(problem.objective)}") for i in range(5): print(f'x_{i} = {pulp.value(x[i])}') return pulp.value(problem.objective) from scipy.optimize import linprog def lp(a): c = np.ones(5) A = np.array([[1 if (j-i+5)%5 <= 2 else 0 for j in range(5)] for i in range(5)]) b = np.array(a) pprint(c) print(A) pprint(b) res = linprog(-c, A, b) print(res) return int(-res.fun + 0.001) if __name__ == '__main__': # input: # 1048577 1048579 1048576 1048577 1048577 a = list(map(int, input().split())) while True: # a = np.random.randint(0, 4, 5) + 2**20 ans_mip_ortools = mip_ortools(a) ans_mip_pulp = mip_pulp(a) ans_lp = lp(a) eps = 1e-1 if np.abs(ans_mip_ortools - ans_lp) > eps or np.abs(ans_mip_pulp - ans_lp) > eps: print("MIP != LP") pprint(ans_mip_ortools) # 1747627 pprint(ans_mip_pulp) # 1747628 pprint(ans_lp) # 1747628 pprint(a) exit() # else: # print("OK") break