我正在尝试收集Google OR-tools库的搜索日志。具体来说,我正在使用 python 编写一个程序,该程序使用该库来解决 TSP 实例。我想做的是让库用不同的方法解决相同的实例并收集搜索的输出(库将其写入 stderr)。问题是该库是用 C++ 编写和编译的,并且只编写了 python 的包装器。我尝试使用
redirect_stderr
以及 sys
模块将 stderr
设置为另一个文件,但结果是相同的:输出仍然写入 stderr 并显示在控制台上。因为我编写了一个多线程程序,所以 shell 重定向实际上并不是一个选项。有办法解决这个问题吗?
下面的脚本取自 Google OR-Tools 文档,并稍加修改以包括使用方法的规范和我尝试重定向 srderr 文件:
"""Simple travelling salesman problem between cities."""
from __future__ import print_function
from ortools.constraint_solver import routing_enums_pb2
from ortools.constraint_solver import pywrapcp
from contextlib import redirect_stderr, redirect_stdout
import sys
def create_data_model():
"""Stores the data for the problem."""
data = {}
data['distance_matrix'] = [
[0, 2451, 713, 1018, 1631, 1374, 2408, 213, 2571, 875, 1420, 2145, 1972],
[2451, 0, 1745, 1524, 831, 1240, 959, 2596, 403, 1589, 1374, 357, 579],
[713, 1745, 0, 355, 920, 803, 1737, 851, 1858, 262, 940, 1453, 1260],
[1018, 1524, 355, 0, 700, 862, 1395, 1123, 1584, 466, 1056, 1280, 987],
[1631, 831, 920, 700, 0, 663, 1021, 1769, 949, 796, 879, 586, 371],
[1374, 1240, 803, 862, 663, 0, 1681, 1551, 1765, 547, 225, 887, 999],
[2408, 959, 1737, 1395, 1021, 1681, 0, 2493, 678, 1724, 1891, 1114, 701],
[213, 2596, 851, 1123, 1769, 1551, 2493, 0, 2699, 1038, 1605, 2300, 2099],
[2571, 403, 1858, 1584, 949, 1765, 678, 2699, 0, 1744, 1645, 653, 600],
[875, 1589, 262, 466, 796, 547, 1724, 1038, 1744, 0, 679, 1272, 1162],
[1420, 1374, 940, 1056, 879, 225, 1891, 1605, 1645, 679, 0, 1017, 1200],
[2145, 357, 1453, 1280, 586, 887, 1114, 2300, 653, 1272, 1017, 0, 504],
[1972, 579, 1260, 987, 371, 999, 701, 2099, 600, 1162, 1200, 504, 0],
] # yapf: disable
data['num_vehicles'] = 1
data['depot'] = 0
return data
def print_solution(manager, routing, solution):
"""Prints solution on console."""
print('Objective: {} miles'.format(solution.ObjectiveValue()))
index = routing.Start(0)
plan_output = 'Route for vehicle 0:\n'
route_distance = 0
while not routing.IsEnd(index):
plan_output += ' {} ->'.format(manager.IndexToNode(index))
previous_index = index
index = solution.Value(routing.NextVar(index))
route_distance += routing.GetArcCostForVehicle(previous_index, index, 0)
plan_output += ' {}\n'.format(manager.IndexToNode(index))
plan_output += 'Route distance: {}miles\n'.format(route_distance)
print(plan_output)
def main():
"""Entry point of the program."""
# Instantiate the data problem.
data = create_data_model()
# Create the routing index manager.
manager = pywrapcp.RoutingIndexManager(len(data['distance_matrix']),
data['num_vehicles'], data['depot'])
# Create Routing Model.
routing = pywrapcp.RoutingModel(manager)
def distance_callback(from_index, to_index):
"""Returns the distance between the two nodes."""
# Convert from routing variable Index to distance matrix NodeIndex.
from_node = manager.IndexToNode(from_index)
to_node = manager.IndexToNode(to_index)
return data['distance_matrix'][from_node][to_node]
transit_callback_index = routing.RegisterTransitCallback(distance_callback)
# Define cost of each arc.
routing.SetArcCostEvaluatorOfAllVehicles(transit_callback_index)
# Setting first solution heuristic.
search_parameters = pywrapcp.DefaultRoutingSearchParameters()
search_parameters.first_solution_strategy = (
routing_enums_pb2.FirstSolutionStrategy.PATH_CHEAPEST_ARC)
search_parameters.local_search_metaheuristic = (routing_enums_pb2.LocalSearchMetaheuristic.TABU_SEARCH)
search_parameters.time_limit.seconds = 1
search_parameters.log_search = True
# This is the first approach and it does not work
# (Yes, I'm sure that it's routing.SolveWithParameters() that logs the search
# parameters to stderr.
with open("output.txt", "wt") as f:
with redirect_stderr(f):
solution = routing.SolveWithParameters(search_parameters)
# Print solution on console.
if solution:
print_solution(manager, routing, solution)
if __name__ == '__main__':
main()
第二种方法是:
#[code omitted: see above]
search_parameters.time_limit.seconds = 1
search_parameters.log_search = True
# This is the second approach and it does not work
# (Yes, I'm sure that it's routing.SolveWithParameters() that logs the search
# parameters to stderr.
sys.stderr = open("output.txt", "wt")
solution = routing.SolveWithParameters(search_parameters)
#[code omitted: see above]
您可能需要重定向 stdout/stderr 文件描述符,而不是像 contextmanager 位那样重定向流对象。
有一篇关于此的文章,但归结为类似
redirect_file = tempfile.TemporaryFile(mode='w+b')
stdout_fd = sys.stdout.fileno()
sys.stdout.close()
os.dup2(redirect_file.fileno(), stdout_fd)
和
stderr
相同。 (链接的文章展示了如何保留原来的 stdout
/stderr
来恢复以前的行为。)