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rebase and some additional fixes
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@quaquel
quaquel committed Oct 12, 2024
1 parent 40399c7 commit 86f8592
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Showing 6 changed files with 334 additions and 140 deletions.
251 changes: 251 additions & 0 deletions examples/bank_reserves/BankReservesModel_Data.csv
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,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
96 changes: 8 additions & 88 deletions examples/bank_reserves/batch_run.py
View file
Original file line number Diff line number Diff line change
Expand Up @@ -36,97 +36,17 @@
get_total_money,
get_total_savings,
get_total_wallets,
BankReservesModel
)


def track_params(model):
return (model.init_people, model.rich_threshold, model.reserve_percent)


def track_run(model):
return model.uid


class BankReservesModel(mesa.Model):
# id generator to track run number in batch run data

# grid height
grid_h = 20
# grid width
grid_w = 20

"""init parameters "init_people", "rich_threshold", and "reserve_percent"
are all set via Slider"""

def __init__(
self,
height=grid_h,
width=grid_w,
init_people=2,
rich_threshold=10,
reserve_percent=50,
):
super().__init__()
self.uid = next(self.id_gen)
self.height = height
self.width = width
self.init_people = init_people

self.grid = mesa.space.MultiGrid(self.width, self.height, torus=True)
# rich_threshold is the amount of savings a person needs to be considered "rich"
self.rich_threshold = rich_threshold
self.reserve_percent = reserve_percent
# see datacollector functions above
self.datacollector = mesa.DataCollector(
model_reporters={
"Rich": get_num_rich_agents,
"Poor": get_num_poor_agents,
"Middle Class": get_num_mid_agents,
"Savings": get_total_savings,
"Wallets": get_total_wallets,
"Money": get_total_money,
"Loans": get_total_loans,
"Model Params": track_params,
"Run": track_run,
},
agent_reporters={"Wealth": "wealth"},
)

# create a single bank object for the model
self.bank = Bank(self, self.reserve_percent)

# create people for the model according to number of people set by user
for i in range(self.init_people):
# set x coordinate as a random number within the width of the grid
x = self.random.randrange(self.width)
# set y coordinate as a random number within the height of the grid
y = self.random.randrange(self.height)
p = Person(i, (x, y), self, True, self.bank, self.rich_threshold)
# place the Person object on the grid at coordinates (x, y)
self.grid.place_agent(p, (x, y))

self.running = True

def step(self):
# collect data
self.datacollector.collect(self)
# tell all the agents in the model to run their step function
self.agents.shuffle_do("step")

def run_model(self):
for i in range(self.run_time):
self.step()


# parameter lists for each parameter to be tested in batch run
br_params = {
"init_people": [25, 100],
"rich_threshold": [5, 10],
"reserve_percent": 5,
}


def main():
# parameter lists for each parameter to be tested in batch run
br_params = {
"init_people": [25, 100],
"rich_threshold": [5, 10],
"reserve_percent": 5,
}

# The existing batch run logic here
data = mesa.batch_run(
BankReservesModel,
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