fixed the optimizer_v4
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@@ -73,7 +73,7 @@ def test4(coordinates: tuple[float, float]) -> List[Landmark]:
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sightseeing=Preference(
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name='sightseeing',
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type=LandmarkType(landmark_type='sightseeing'),
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score = 5),
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score = 0),
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nature=Preference(
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name='nature',
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type=LandmarkType(landmark_type='nature'),
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@@ -105,21 +105,22 @@ def test4(coordinates: tuple[float, float]) -> List[Landmark]:
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with open (os.path.dirname(os.path.abspath(__file__)) + '/parameters/optimizer.params', "r") as f :
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parameters = json.loads(f.read())
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max_landmarks = parameters['max landmarks']
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max_walking_time = 120 # minutes
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detour = 30 # minutes
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max_walking_time = 120 # minutes
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detour = 10 # minutes
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# First stage optimization
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#base_tour = solve_optimization(landmarks_short, max_walking_time, True)
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base_tour = solve_optimization(landmarks_short, max_walking_time, True)
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#base_tour = solve_optimization(landmarks_short, max_walking_time, True)
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# First stage using NetworkX
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base_tour = generate_path(landmarks_short, max_walking_time, max_landmarks)
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#base_tour = generate_path(landmarks_short, max_walking_time, max_landmarks)
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# Second stage using linear optimization
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refined_tour = refine_optimization(landmarks, base_tour, max_walking_time+detour, True)
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if detour != 0 :
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refined_tour = refine_optimization(landmarks, base_tour, max_walking_time+detour, True)
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# Second stage using NetworkX
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#refined_tour = refine_path(landmarks, base_tour, max_walking_time+detour, True)
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@@ -130,8 +131,8 @@ def test4(coordinates: tuple[float, float]) -> List[Landmark]:
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return refined_tour
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#test4(tuple((48.8344400, 2.3220540))) # Café Chez César
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test4(tuple((48.8344400, 2.3220540))) # Café Chez César
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#test4(tuple((48.8375946, 2.2949904))) # Point random
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#test4(tuple((47.377859, 8.540585))) # Zurich HB
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test4(tuple((45.7576485, 4.8330241))) # Lyon Bellecour
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#test4(tuple((45.7576485, 4.8330241))) # Lyon Bellecour
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#test3('Vienna, Austria')
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