Skip to content

Commit

Permalink
Moving examples to use the new discrete spaces (#198)
Browse files Browse the repository at this point in the history
  • Loading branch information
@quaquel
quaquel authored Oct 15, 2024
1 parent d63ce06 commit 9a05b05
Show file tree
Hide file tree
Showing 36 changed files with 885 additions and 884 deletions.
46 changes: 27 additions & 19 deletions examples/aco_tsp/aco_tsp/model.py
View file
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@
import mesa
import networkx as nx
import numpy as np
from mesa.experimental.cell_space import CellAgent, Network


@dataclass
Expand Down Expand Up @@ -77,7 +78,7 @@ def from_tsp_file(cls, file_path: str) -> "TSPGraph":
return cls(g)


class AntTSP(mesa.Agent):
class AntTSP(CellAgent):
"""
An agent
"""
Expand All @@ -93,6 +94,7 @@ def __init__(self, model, alpha: float = 1.0, beta: float = 5.0):
self._traveled_distance = 0
self.tsp_solution = []
self.tsp_distance = 0
self.graph = self.model.grid.G

def calculate_pheromone_delta(self, q: float = 100):
results = {}
Expand All @@ -102,31 +104,39 @@ def calculate_pheromone_delta(self, q: float = 100):

return results

def move_to(self, cell) -> None:
self._cities_visited.append(cell)
if self.cell:
self._traveled_distance += self.graph[self.cell.coordinate][
cell.coordinate
]["distance"]
super().move_to(cell)

def decide_next_city(self):
# Random
# new_city = self.random.choice(list(self.model.all_cities - set(self.cities_visited)))
# Choose closest city not yet visited
g = self.model.grid.G
current_city = self.pos
neighbors = list(g.neighbors(current_city))
neighbors = self.cell.neighborhood
candidates = [n for n in neighbors if n not in self._cities_visited]
if len(candidates) == 0:
return current_city
return self.cell

# p_ij(t) = 1/Z*[(tau_ij)**alpha * (1/distance)**beta]
results = []
for city in candidates:
val = (
(g[current_city][city]["pheromone"]) ** self.alpha
* (g[current_city][city]["visibility"]) ** self.beta
(self.graph[self.cell.coordinate][city.coordinate]["pheromone"])
** self.alpha
* (self.graph[self.cell.coordinate][city.coordinate]["visibility"])
** self.beta
)
results.append(val)

results = np.array(results)
norm = results.sum()
results /= norm

new_city = self.model.random.choices(candidates, weights=results)[0]
new_city = self.random.choices(candidates, weights=results)[0]

return new_city

Expand All @@ -135,16 +145,13 @@ def step(self):
Modify this method to change what an individual agent will do during each step.
Can include logic based on neighbors states.
"""
g = self.model.grid.G
for idx in range(self.model.num_cities - 1):

for _ in range(self.model.num_cities - 1):
# Pick a random city that isn't in the list of cities visited
current_city = self.pos
new_city = self.decide_next_city()
self._cities_visited.append(new_city)
self.model.grid.move_agent(self, new_city)
self._traveled_distance += g[current_city][new_city]["distance"]
self.move_to(new_city)

self.tsp_solution = self._cities_visited.copy()
self.tsp_solution = [entry.coordinate for entry in self._cities_visited]
self.tsp_distance = self._traveled_distance
self._cities_visited = []
self._traveled_distance = 0
Expand Down Expand Up @@ -173,14 +180,15 @@ def __init__(
self.num_cities = tsp_graph.num_cities
self.all_cities = set(range(self.num_cities))
self.max_steps = max_steps
self.grid = mesa.space.NetworkGrid(tsp_graph.g)
self.grid = Network(tsp_graph.g, random=self.random)

for _ in range(self.num_agents):
agent = AntTSP(model=self, alpha=ant_alpha, beta=ant_beta)

city = tsp_graph.cities[self.random.randrange(self.num_cities)]
self.grid.place_agent(agent, city)
agent._cities_visited.append(city)
city = self.grid.all_cells.select_random_cell()
agent.move_to(city)
# self.grid.place_agent(agent, city)
# agent._cities_visited.append(city) # FIXME should be endogenous to agent

self.num_steps = 0
self.best_path = None
Expand Down
251 changes: 251 additions & 0 deletions examples/bank_reserves/BankReservesModel_Data.csv
View file
Original file line number Diff line number Diff line change
@@ -0,0 +1,251 @@
,RunId,iteration,Step,init_people,rich_threshold,reserve_percent,Rich,Poor,Middle Class,Savings,Wallets,Money,Loans,AgentID,Wealth
0,0,0,1000,25,5,5,11,5,7,251,0,251,173,1,2
1,0,0,1000,25,5,5,11,5,7,251,0,251,173,2,44
2,0,0,1000,25,5,5,11,5,7,251,0,251,173,3,-22
3,0,0,1000,25,5,5,11,5,7,251,0,251,173,4,-10
4,0,0,1000,25,5,5,11,5,7,251,0,251,173,5,8
5,0,0,1000,25,5,5,11,5,7,251,0,251,173,6,17
6,0,0,1000,25,5,5,11,5,7,251,0,251,173,7,5
7,0,0,1000,25,5,5,11,5,7,251,0,251,173,8,1
8,0,0,1000,25,5,5,11,5,7,251,0,251,173,9,2
9,0,0,1000,25,5,5,11,5,7,251,0,251,173,10,51
10,0,0,1000,25,5,5,11,5,7,251,0,251,173,11,14
11,0,0,1000,25,5,5,11,5,7,251,0,251,173,12,-22
12,0,0,1000,25,5,5,11,5,7,251,0,251,173,13,10
13,0,0,1000,25,5,5,11,5,7,251,0,251,173,14,57
14,0,0,1000,25,5,5,11,5,7,251,0,251,173,15,7
15,0,0,1000,25,5,5,11,5,7,251,0,251,173,16,3
16,0,0,1000,25,5,5,11,5,7,251,0,251,173,17,12
17,0,0,1000,25,5,5,11,5,7,251,0,251,173,18,-64
18,0,0,1000,25,5,5,11,5,7,251,0,251,173,19,-2
19,0,0,1000,25,5,5,11,5,7,251,0,251,173,20,9
20,0,0,1000,25,5,5,11,5,7,251,0,251,173,21,7
21,0,0,1000,25,5,5,11,5,7,251,0,251,173,22,-1
22,0,0,1000,25,5,5,11,5,7,251,0,251,173,23,-23
23,0,0,1000,25,5,5,11,5,7,251,0,251,173,24,2
24,0,0,1000,25,5,5,11,5,7,251,0,251,173,25,-29
25,1,0,1000,25,10,5,12,8,3,422,5,427,251,1,38
26,1,0,1000,25,10,5,12,8,3,422,5,427,251,2,30
27,1,0,1000,25,10,5,12,8,3,422,5,427,251,3,-21
28,1,0,1000,25,10,5,12,8,3,422,5,427,251,4,65
29,1,0,1000,25,10,5,12,8,3,422,5,427,251,5,40
30,1,0,1000,25,10,5,12,8,3,422,5,427,251,6,10
31,1,0,1000,25,10,5,12,8,3,422,5,427,251,7,-12
32,1,0,1000,25,10,5,12,8,3,422,5,427,251,8,8
33,1,0,1000,25,10,5,12,8,3,422,5,427,251,9,30
34,1,0,1000,25,10,5,12,8,3,422,5,427,251,10,20
35,1,0,1000,25,10,5,12,8,3,422,5,427,251,11,-5
36,1,0,1000,25,10,5,12,8,3,422,5,427,251,12,-38
37,1,0,1000,25,10,5,12,8,3,422,5,427,251,13,-12
38,1,0,1000,25,10,5,12,8,3,422,5,427,251,14,27
39,1,0,1000,25,10,5,12,8,3,422,5,427,251,15,-29
40,1,0,1000,25,10,5,12,8,3,422,5,427,251,16,6
41,1,0,1000,25,10,5,12,8,3,422,5,427,251,17,-37
42,1,0,1000,25,10,5,12,8,3,422,5,427,251,18,27
43,1,0,1000,25,10,5,12,8,3,422,5,427,251,19,-38
44,1,0,1000,25,10,5,12,8,3,422,5,427,251,20,-10
45,1,0,1000,25,10,5,12,8,3,422,5,427,251,21,-49
46,1,0,1000,25,10,5,12,8,3,422,5,427,251,22,37
47,1,0,1000,25,10,5,12,8,3,422,5,427,251,23,35
48,1,0,1000,25,10,5,12,8,3,422,5,427,251,24,37
49,1,0,1000,25,10,5,12,8,3,422,5,427,251,25,12
50,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,1,-81
51,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,2,27
52,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,3,-56
53,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,4,53
54,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,5,86
55,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,6,77
56,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,7,20
57,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,8,-28
58,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,9,51
59,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,10,-72
60,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,11,-96
61,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,12,81
62,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,13,-43
63,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,14,66
64,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,15,70
65,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,16,7
66,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,17,32
67,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,18,21
68,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,19,64
69,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,20,-54
70,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,21,11
71,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,22,-30
72,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,23,-21
73,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,24,24
74,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,25,-4
75,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,26,-12
76,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,27,-67
77,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,28,53
78,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,29,79
79,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,30,-9
80,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,31,-6
81,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,32,-2
82,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,33,45
83,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,34,85
84,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,35,23
85,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,36,-32
86,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,37,-36
87,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,38,-75
88,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,39,-67
89,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,40,-44
90,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,41,-13
91,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,42,-53
92,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,43,105
93,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,44,20
94,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,45,-77
95,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,46,36
96,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,47,-35
97,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,48,-87
98,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,49,-70
99,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,50,98
100,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,51,109
101,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,52,-93
102,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,53,-18
103,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,54,72
104,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,55,38
105,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,56,-33
106,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,57,43
107,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,58,87
108,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,59,-2
109,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,60,29
110,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,61,123
111,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,62,-22
112,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,63,47
113,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,64,108
114,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,65,-53
115,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,66,-3
116,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,67,-58
117,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,68,-16
118,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,69,-28
119,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,70,41
120,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,71,-60
121,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,72,-69
122,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,73,93
123,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,74,9
124,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,75,37
125,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,76,-108
126,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,77,-69
127,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,78,75
128,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,79,-11
129,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,80,-18
130,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,81,16
131,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,82,-32
132,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,83,12
133,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,84,8
134,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,85,25
135,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,86,16
136,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,87,-99
137,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,88,-15
138,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,89,33
139,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,90,12
140,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,91,43
141,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,92,2
142,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,93,-139
143,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,94,25
144,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,95,101
145,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,96,78
146,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,97,44
147,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,98,3
148,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,99,-44
149,2,0,1000,100,5,5,50,42,8,2563,7,2570,2219,100,-59
150,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,1,-22
151,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,2,27
152,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,3,60
153,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,4,89
154,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,5,11
155,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,6,12
156,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,7,-47
157,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,8,60
158,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,9,34
159,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,10,2
160,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,11,5
161,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,12,-27
162,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,13,-13
163,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,14,105
164,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,15,-63
165,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,16,138
166,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,17,65
167,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,18,40
168,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,19,-68
169,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,20,39
170,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,21,-27
171,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,22,64
172,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,23,50
173,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,24,-86
174,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,25,21
175,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,26,42
176,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,27,-2
177,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,28,-124
178,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,29,90
179,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,30,-39
180,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,31,-40
181,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,32,21
182,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,33,55
183,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,34,60
184,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,35,71
185,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,36,-27
186,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,37,66
187,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,38,48
188,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,39,-63
189,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,40,74
190,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,41,3
191,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,42,13
192,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,43,-20
193,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,44,0
194,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,45,-51
195,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,46,45
196,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,47,44
197,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,48,-110
198,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,49,-95
199,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,50,-21
200,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,51,-46
201,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,52,-34
202,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,53,31
203,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,54,-42
204,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,55,52
205,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,56,39
206,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,57,112
207,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,58,39
208,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,59,-57
209,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,60,108
210,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,61,-33
211,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,62,28
212,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,63,7
213,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,64,33
214,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,65,-22
215,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,66,69
216,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,67,-77
217,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,68,-58
218,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,69,19
219,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,70,27
220,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,71,-41
221,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,72,63
222,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,73,97
223,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,74,60
224,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,75,32
225,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,76,36
226,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,77,-48
227,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,78,-47
228,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,79,45
229,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,80,-5
230,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,81,-27
231,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,82,13
232,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,83,48
233,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,84,-69
234,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,85,-55
235,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,86,-41
236,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,87,-31
237,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,88,-14
238,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,89,-103
239,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,90,-29
240,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,91,64
241,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,92,-74
242,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,93,1
243,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,94,-72
244,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,95,57
245,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,96,6
246,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,97,-15
247,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,98,-15
248,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,99,-46
249,3,0,1000,100,10,5,49,42,9,2598,33,2631,2046,100,58
Loading

0 comments on commit 9a05b05

Please sign in to comment.