fixed timing and optimizer speed
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20f20da9c5
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@ -7,5 +7,5 @@ tag_exponent: 1.15
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image_bonus: 10
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viewpoint_bonus: 15
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wikipedia_bonus: 6
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N_important: 50
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N_important: 40
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pay_bonus: -1
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@ -1,5 +1,5 @@
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detour_factor: 1.4
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detour_corridor_width: 200
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detour_corridor_width: 300
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average_walking_speed: 4.8
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max_landmarks: 10
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max_landmarks_refiner: 20
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@ -24,8 +24,8 @@ def test(start_coords: tuple[float, float], finish_coords: tuple[float, float] =
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nature=Preference(type='nature', score = 5),
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shopping=Preference(type='shopping', score = 5),
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max_time_minute=1000,
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detour_tolerance_minute=0
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max_time_minute=120,
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detour_tolerance_minute=10
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)
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# Create start and finish
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@ -70,9 +70,9 @@ def test(start_coords: tuple[float, float], finish_coords: tuple[float, float] =
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return linked_tour
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test(tuple((48.8344400, 2.3220540))) # Café Chez César
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# test(tuple((48.8344400, 2.3220540))) # Café Chez César
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# test(tuple((48.8375946, 2.2949904))) # Point random
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# test(tuple((47.377859, 8.540585))) # Zurich HB
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# test(tuple((45.7576485, 4.8330241))) # Lyon Bellecour
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test(tuple((47.377859, 8.540585))) # Zurich HB
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# test(tuple((45.758217, 4.831814))) # Lyon Bellecour
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# test(tuple((48.5848435, 7.7332974))) # Strasbourg Gare
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# test(tuple((48.2067858, 16.3692340))) # Vienne
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@ -318,6 +318,7 @@ class LandmarkManager:
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if "viewpoint" in tag:
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score += self.viewpoint_bonus
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duration = 10
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if "image" in tag:
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score += self.image_bonus
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@ -334,7 +335,6 @@ class LandmarkManager:
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if tag == "building" and elem.tag('building') in ['retail', 'supermarket', 'parking']:
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skip = True
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break
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# Get additional information
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# if tag == 'wikipedia' :
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@ -352,14 +352,14 @@ class LandmarkManager:
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score = score_function(score)
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if "place_of_worship" in elem.tags().values() :
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score = int(score*self.church_coeff)
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duration = 20
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duration = 15
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elif "museum" in elem.tags().values() :
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score = int(score*self.church_coeff)
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duration = 60
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else :
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duration = 30
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duration = 5
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# Generate the landmark and append it to the list
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landmark = Landmark(
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@ -193,7 +193,7 @@ class Optimizer:
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for j, spot2 in enumerate(landmarks) :
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t = get_time(spot1.location, spot2.location) + spot1.duration
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dist_table[j] = t
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closest = sorted(dist_table)[:22]
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closest = sorted(dist_table)[:20]
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for i, dist in enumerate(dist_table) :
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if dist not in closest :
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dist_table[i] = 32700
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