- Currently not implemented... Add abseil patch - Add patches/absl-config.cmake Makefile: Add abseil-cpp on unix - Force abseil-cpp SHA1 to 45221cc note: Just before the PR #136 which break all CMake Makefile: Add abseil-cpp on windows - Force abseil-cpp SHA1 to 45221cc note: Just before the PR #136 which break all CMake CMake: Add abseil-cpp - Force abseil-cpp SHA1 to 45221cc note: Just before the PR #136 which break all CMake port to absl: C++ Part - Fix warning with the use of ABSL_MUST_USE_RESULT > The macro must appear as the very first part of a function declaration or definition: ... Note: past advice was to place the macro after the argument list. src: dependencies/sources/abseil-cpp-master/absl/base/attributes.h:418 - Rename enum after windows clash - Remove non compact table constraints - Change index type from int64 to int in routing library - Fix file_nonport compilation on windows - Fix another naming conflict with windows (NO_ERROR is a macro) - Cleanup hash containers; work on sat internals - Add optional_boolean sub-proto Sync cpp examples with internal code - reenable issue173 after reducing number of loops port to absl: Python Part - Add back cp_model.INT32_MIN|MAX for examples Update Python examples - Add random_tsp.py - Run words_square example - Run magic_square in python tests port to absl: Java Part - Fix compilation of the new routing parameters in java - Protect some code from SWIG parsing Update Java Examples port to absl: .Net Part Update .Net examples work on sat internals; Add C++ CP-SAT CpModelBuilder API; update sample code and recipes to use the new API; sync with internal code Remove VS 2015 in Appveyor-CI - abseil-cpp does not support VS 2015... improve tables upgrade C++ sat examples to use the new API; work on sat internals update license dates rewrite jobshop_ft06_distance.py to use the CP-SAT solver rename last example revert last commit more work on SAT internals fix
231 lines
6.7 KiB
Python
Executable File
231 lines
6.7 KiB
Python
Executable File
#!/usr/bin/env python
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# This Python file uses the following encoding: utf-8
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# Copyright 2015 Tin Arm Engineering AB
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# Copyright 2018 Google LLC
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Display Transit Time
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Distances are in meters and time in minutes.
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Manhattan average block: 750ft x 264ft -> 228m x 80m
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src: https://nyti.ms/2GDoRIe "NY Times: Know Your distance"
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here we use: 114m x 80m city block
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"""
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from __future__ import print_function
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from six.moves import xrange
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from ortools.constraint_solver import pywrapcp
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from ortools.constraint_solver import routing_enums_pb2
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###########################
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# Problem Data Definition #
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###########################
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class Vehicle():
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"""Stores the property of a vehicle"""
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def __init__(self):
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"""Initializes the vehicle properties"""
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self._capacity = 15
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# Travel speed: 5km/h to convert in m/min
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self._speed = 5 * 60 / 3.6
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@property
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def speed(self):
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"""Gets the average travel speed of a vehicle"""
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return self._speed
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class CityBlock():
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"""City block definition"""
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@property
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def width(self):
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"""Gets Block size West to East"""
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return 228 / 2
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@property
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def height(self):
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"""Gets Block size North to South"""
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return 80
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class DataProblem():
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"""Stores the data for the problem"""
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def __init__(self):
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"""Initializes the data for the problem"""
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self._vehicle = Vehicle()
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# Locations in block unit
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locations = \
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[(4, 4), # depot
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(2, 0), (8, 0), # row 0
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(0, 1), (1, 1),
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(5, 2), (7, 2),
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(3, 3), (6, 3),
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(5, 5), (8, 5),
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(1, 6), (2, 6),
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(3, 7), (6, 7),
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(0, 8), (7, 8)]
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# locations in meters using the city block dimension
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city_block = CityBlock()
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self._locations = [(loc[0] * city_block.width,
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loc[1] * city_block.height) for loc in locations]
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self._depot = 0
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self._demands = \
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[0, # depot
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1, 1, # 1, 2
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2, 4, # 3, 4
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2, 4, # 5, 6
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8, 8, # 7, 8
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1, 2, # 9,10
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1, 2, # 11,12
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4, 4, # 13, 14
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8, 8] # 15, 16
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self._time_windows = \
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[(0, 0),
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(75, 85), (75, 85), # 1, 2
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(60, 70), (45, 55), # 3, 4
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(0, 8), (50, 60), # 5, 6
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(0, 10), (10, 20), # 7, 8
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(0, 10), (75, 85), # 9, 10
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(85, 95), (5, 15), # 11, 12
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(15, 25), (10, 20), # 13, 14
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(45, 55), (30, 40)] # 15, 16
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@property
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def vehicle(self):
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"""Gets a vehicle"""
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return self._vehicle
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@property
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def locations(self):
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"""Gets locations"""
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return self._locations
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@property
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def num_locations(self):
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"""Gets number of locations"""
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return len(self.locations)
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@property
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def depot(self):
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"""Gets depot location index"""
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return self._depot
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@property
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def demands(self):
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"""Gets demands at each location"""
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return self._demands
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@property
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def time_per_demand_unit(self):
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"""Gets the time (in min) to load a demand"""
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return 5 # 5 minutes/unit
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@property
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def time_windows(self):
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"""Gets (start time, end time) for each locations"""
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return self._time_windows
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#######################
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# Problem Constraints #
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#######################
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def manhattan_distance(position_1, position_2):
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"""Computes the Manhattan distance between two points"""
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return (abs(position_1[0] - position_2[0]) +
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abs(position_1[1] - position_2[1]))
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class CreateTimeEvaluator(object):
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"""Creates callback to get total times between locations."""
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@staticmethod
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def service_time(data, node):
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"""Gets the service time for the specified location."""
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return data.demands[node] * data.time_per_demand_unit
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@staticmethod
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def travel_time(data, from_node, to_node):
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"""Gets the travel times between two locations."""
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if from_node == to_node:
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travel_time = 0
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else:
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travel_time = manhattan_distance(
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data.locations[from_node],
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data.locations[to_node]) / data.vehicle.speed
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return travel_time
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def __init__(self, data):
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"""Initializes the total time matrix."""
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self._total_time = {}
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# precompute total time to have time callback in O(1)
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for from_node in xrange(data.num_locations):
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self._total_time[from_node] = {}
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for to_node in xrange(data.num_locations):
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if from_node == to_node:
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self._total_time[from_node][to_node] = 0
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else:
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self._total_time[from_node][to_node] = int(
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self.service_time(data, from_node) +
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self.travel_time(data, from_node, to_node))
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def time_evaluator(self, from_node, to_node):
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"""Returns the total time between the two nodes"""
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return self._total_time[from_node][to_node]
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def print_transit_time(route, time_evaluator):
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"""Print transit time between nodes of a route"""
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total_time = 0
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for i, j in route:
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total_time += time_evaluator(i, j)
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print('{0} -> {1}: {2}min'.format(i, j, time_evaluator(i, j)))
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print('Total time: {0}min\n'.format(total_time))
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########
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# Main #
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########
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def main():
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"""Entry point of the program"""
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# Instantiate the data problem.
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data = DataProblem()
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# Print Transit Time
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time_evaluator = CreateTimeEvaluator(data).time_evaluator
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print('Route 0:')
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print_transit_time([[0, 5], [5, 8], [8, 6], [6, 2], [2, 0]],
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time_evaluator)
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print('Route 1:')
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print_transit_time([[0, 9], [9, 14], [14, 16], [16, 10], [10, 0]],
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time_evaluator)
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print('Route 2:')
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print_transit_time([[0, 12], [12, 13], [13, 15], [15, 11], [11, 0]],
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time_evaluator)
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print('Route 3:')
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print_transit_time([[0, 7], [7, 4], [4, 3], [3, 1], [1, 0]],
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time_evaluator)
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if __name__ == '__main__':
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main()
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