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wjsjwr 2022-07-30 11:01:15 +08:00
parent 68d06e3f94
commit a5f9c700a1
18 changed files with 22 additions and 17 deletions
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2
calc_coopr_rate.py
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@ -6,7 +6,7 @@ import json
def calcAndSave(mode, network_type=None):
MAX_ROUND = 16 # = game_end_at
MAX_ROUND = 28 # = game_end_at
# matches = Matches.from_profile(mode)
matches = Matches('wos-data-2022-1', network_type=network_type)
times = np.zeros(MAX_ROUND)

5
calc_participants.py
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@ -8,10 +8,11 @@ result = 0
count = 0
ma,mi=0,1000
# ms = Matches.from_profile('CCCN')
ms = Matches.from_profile_expr(lambda r: True)
ms = Matches('wos-data-2022-1')
# ms = Matches.from_profile_expr(lambda r: True)
for m in ms.data:
l = len(m.query('player', 'join').where(lambda x: 'bot' not in x or x['bot'] == False).select('pid').raw_data)
print(f"{m.name} => players: {l} game-end-at: {int(m.query('game', 'created').first()['info']['game_end_at'])}")
ma = max([ma,l])
mi = min([mi,l])
result += l

2
calc_survivals.py
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@ -5,7 +5,7 @@ from island.match import Match
result = {}
# = game_end_at + 1
MAX_ROUND = 17
MAX_ROUND = 29
for f in Path('wos-data-2022-1').iterdir():
p = Path(f)

2
fc_plot.py
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@ -76,7 +76,7 @@ if __name__ == '__main__':
elif argv[1] == 'nb':
mode = 'NEW'
network_type = 'BA'
MAX_ROUND = 14
MAX_ROUND = 28
else:
mode = 'NEW'
network_type = 'WS'

2
outputs/CRAW_NEW_BA.json
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@ -1 +1 @@
[[0.9329268292682927, 0.926829268292683, 0.845679012345679, 0.8506493506493507, 0.8287671232876712, 0.8375, 0.7608695652173914, 0.8333333333333334, 0.7954545454545454, 0.7214285714285714, 0.7578125, 0.7622950819672131, 0.6384615384615384, 0.5819672131147541], [0.9038461538461539, 0.831081081081081, 0.8066666666666666, 0.7246376811594203, 0.7578125, 0.7236842105263158, 0.7364864864864865, 0.7121212121212122, 0.7071428571428572, 0.717948717948718, 0.6890243902439024, 0.75, 0.753968253968254]]
[[0.9329268292682927, 0.926829268292683, 0.845679012345679, 0.8506493506493507, 0.8287671232876712, 0.8375, 0.7608695652173914, 0.8333333333333334, 0.7954545454545454, 0.7214285714285714, 0.7578125, 0.7622950819672131, 0.6384615384615384, 0.5819672131147541], [0.7837837837837838, 0.6785714285714286, 0.76, 0.7727272727272727, 0.7843137254901961, 0.7363636363636363, 0.7653061224489796, 0.7608695652173914, 0.7325581395348837, 0.6794871794871795, 0.7307692307692307], [0.8166666666666667, 0.73, 0.7941176470588235, 0.8292682926829268, 0.75, 0.7159090909090909, 0.7674418604651163, 0.7631578947368421, 0.7, 0.7051282051282052, 0.6219512195121951, 0.6309523809523809, 0.6351351351351351, 0.5697674418604651, 0.48484848484848486, 0.625, 0.6447368421052632, 0.6621621621621622, 0.6125, 0.578125, 0.5714285714285714, 0.5285714285714286, 0.5925925925925926, 0.5833333333333334, 0.5833333333333334, 0.5645161290322581, 0.6212121212121212, 0.65625]]

1
outputs/CR_G646.csv Normal file
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@ -0,0 +1 @@
0.7837837837837838,0.6785714285714286,0.76,0.7727272727272727,0.7843137254901961,0.7363636363636363,0.7653061224489796,0.7608695652173914,0.7325581395348837,0.6794871794871795,0.7307692307692307
1 0.7837837837837838 0.6785714285714286 0.76 0.7727272727272727 0.7843137254901961 0.7363636363636363 0.7653061224489796 0.7608695652173914 0.7325581395348837 0.6794871794871795 0.7307692307692307

1
outputs/CR_G903.csv Normal file
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@ -0,0 +1 @@
0.8166666666666667,0.73,0.7941176470588235,0.8292682926829268,0.75,0.7159090909090909,0.7674418604651163,0.7631578947368421,0.7,0.7051282051282052,0.6219512195121951,0.6309523809523809,0.6351351351351351,0.5697674418604651,0.48484848484848486,0.625,0.6447368421052632,0.6621621621621622,0.6125,0.578125,0.5714285714285714,0.5285714285714286,0.5925925925925926,0.5833333333333334,0.5833333333333334,0.5645161290322581,0.6212121212121212,0.65625
1 0.8166666666666667 0.73 0.7941176470588235 0.8292682926829268 0.75 0.7159090909090909 0.7674418604651163 0.7631578947368421 0.7 0.7051282051282052 0.6219512195121951 0.6309523809523809 0.6351351351351351 0.5697674418604651 0.48484848484848486 0.625 0.6447368421052632 0.6621621621621622 0.6125 0.578125 0.5714285714285714 0.5285714285714286 0.5925925925925926 0.5833333333333334 0.5833333333333334 0.5645161290322581 0.6212121212121212 0.65625

2
outputs/CR_NEW_BA.csv
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@ -1 +1 @@
0.91875,0.8814102564102564,0.8269230769230769,0.791095890410959,0.7956204379562044,0.782051282051282,0.7482517482517482,0.7753623188405797,0.75,0.7195945945945946,0.7191780821917808,0.7560975609756098,0.6953125,0.5819672131147541,0.0,0.0
0.8631284916201117,0.800531914893617,0.8076923076923077,0.8208092485549133,0.7946428571428571,0.776536312849162,0.7639751552795031,0.7948717948717948,0.7516778523489933,0.706081081081081,0.7118055555555556,0.7087378640776699,0.6372549019607843,0.5769230769230769,0.48484848484848486,0.625,0.6447368421052632,0.6621621621621622,0.6125,0.578125,0.5714285714285714,0.5285714285714286,0.5925925925925926,0.5833333333333334,0.5833333333333334,0.5645161290322581,0.6212121212121212,0.65625

1 0.91875 0.8631284916201117 0.8814102564102564 0.800531914893617 0.8269230769230769 0.8076923076923077 0.791095890410959 0.8208092485549133 0.7956204379562044 0.7946428571428571 0.782051282051282 0.776536312849162 0.7482517482517482 0.7639751552795031 0.7753623188405797 0.7948717948717948 0.75 0.7516778523489933 0.7195945945945946 0.706081081081081 0.7191780821917808 0.7118055555555556 0.7560975609756098 0.7087378640776699 0.6953125 0.6372549019607843 0.5819672131147541 0.5769230769230769 0.0 0.48484848484848486 0.0 0.625 0.6447368421052632 0.6621621621621622 0.6125 0.578125 0.5714285714285714 0.5285714285714286 0.5925925925925926 0.5833333333333334 0.5833333333333334 0.5645161290322581 0.6212121212121212 0.65625

2
outputs/CR_NEW_WS.csv
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@ -1 +1 @@
0.918918918918919,0.907563025210084,0.9012875536480687,0.8951219512195122,0.8853658536585366,0.8729729729729729,0.8532608695652174,0.8285714285714286,0.7774390243902439,0.7774566473988439,0.7212121212121212,0.6488095238095238,0.5911949685534591,0.4873417721518987,0.29411764705882354,0.23026315789473684
0.918918918918919,0.907563025210084,0.9012875536480687,0.8951219512195122,0.8853658536585366,0.8729729729729729,0.8532608695652174,0.8285714285714286,0.7774390243902439,0.7774566473988439,0.7212121212121212,0.6488095238095238,0.5911949685534591,0.4873417721518987,0.29411764705882354,0.23026315789473684,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0

1 0.918918918918919 0.907563025210084 0.9012875536480687 0.8951219512195122 0.8853658536585366 0.8729729729729729 0.8532608695652174 0.8285714285714286 0.7774390243902439 0.7774566473988439 0.7212121212121212 0.6488095238095238 0.5911949685534591 0.4873417721518987 0.29411764705882354 0.23026315789473684 0.23026315789473684 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

1
outputs/THETA_G646.csv Normal file
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@ -0,0 +1 @@
1256.84,1210.5,1221.24,1081.78,946.94,1072.76,1051.78,1124.18,919.48,1169.78,917.66
1 1256.84 1210.5 1221.24 1081.78 946.94 1072.76 1051.78 1124.18 919.48 1169.78 917.66

1
outputs/THETA_G903.csv Normal file
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@ -0,0 +1 @@
1104.9318181818182,1153.1818181818182,1088.3181818181818,997.8636363636364,1011.9318181818181,866.6136363636364,1082.7954545454545,1114.75,1043.1818181818182,981.8409090909091,1134.8863636363637,1091.8181818181818,1047.2727272727273,1127.9545454545455,1099.0227272727273,1085.3181818181818,977.1136363636364,1156.5227272727273,1065.25,1256.8181818181818,1096.3636363636363,1034.9772727272727,1101.2727272727273,1100.1136363636363,1210.4318181818182,1113.5681818181818,1254.5,1219.5227272727273
1 1104.9318181818182 1153.1818181818182 1088.3181818181818 997.8636363636364 1011.9318181818181 866.6136363636364 1082.7954545454545 1114.75 1043.1818181818182 981.8409090909091 1134.8863636363637 1091.8181818181818 1047.2727272727273 1127.9545454545455 1099.0227272727273 1085.3181818181818 977.1136363636364 1156.5227272727273 1065.25 1256.8181818181818 1096.3636363636363 1034.9772727272727 1101.2727272727273 1100.1136363636363 1210.4318181818182 1113.5681818181818 1254.5 1219.5227272727273

2
outputs/THETA_NEW_BA.csv
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@ -1 +1 @@
1191.0056818181818,1216.3522727272727,1152.0625,1174.596590909091,1138.0397727272727,1154.2386363636363,1136.653409090909,1043.6306818181818,1175.3125,1062.5568181818182,1109.375,1223.6420454545455,1146.8693181818182,1195.0235294117647,0.0,0.0
1135.877094972067,1121.2011173184358,1117.3519553072626,1060.5865921787708,995.4860335195531,1028.1061452513966,1058.0279329608938,994.8324022346369,1045.441340782123,1021.1899441340782,1048.703910614525,1178.108527131783,1034.5271317829458,1172.1472868217054,1099.0227272727273,1085.3181818181818,977.1136363636364,1156.5227272727273,1065.25,1256.8181818181818,1096.3636363636363,1034.9772727272727,1101.2727272727273,1100.1136363636363,1210.4318181818182,1113.5681818181818,1254.5,1219.5227272727273

1 1191.0056818181818 1135.877094972067 1216.3522727272727 1121.2011173184358 1152.0625 1117.3519553072626 1174.596590909091 1060.5865921787708 1138.0397727272727 995.4860335195531 1154.2386363636363 1028.1061452513966 1136.653409090909 1058.0279329608938 1043.6306818181818 994.8324022346369 1175.3125 1045.441340782123 1062.5568181818182 1021.1899441340782 1109.375 1048.703910614525 1223.6420454545455 1178.108527131783 1146.8693181818182 1034.5271317829458 1195.0235294117647 1172.1472868217054 0.0 1099.0227272727273 0.0 1085.3181818181818 977.1136363636364 1156.5227272727273 1065.25 1256.8181818181818 1096.3636363636363 1034.9772727272727 1101.2727272727273 1100.1136363636363 1210.4318181818182 1113.5681818181818 1254.5 1219.5227272727273

2
outputs/THETA_NEW_WS.csv
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@ -1 +1 @@
1283.093023255814,1227.2209302325582,1192.5116279069769,1209.8488372093022,1267.5523255813953,1283.5232558139535,1284.0813953488373,1305.1744186046512,1294.1976744186047,1322.5232558139535,1335.6802325581396,1326.1627906976744,1371.8081395348838,1350.3023255813953,1401.5747126436781,1405.2413793103449
1283.093023255814,1227.2209302325582,1192.5116279069769,1209.8488372093022,1267.5523255813953,1283.5232558139535,1284.0813953488373,1305.1744186046512,1294.1976744186047,1322.5232558139535,1335.6802325581396,1326.1627906976744,1371.8081395348838,1350.3023255813953,1401.5747126436781,1405.2413793103449,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0

1 1283.093023255814 1227.2209302325582 1192.5116279069769 1209.8488372093022 1267.5523255813953 1283.5232558139535 1284.0813953488373 1305.1744186046512 1294.1976744186047 1322.5232558139535 1335.6802325581396 1326.1627906976744 1371.8081395348838 1350.3023255813953 1401.5747126436781 1405.2413793103449 1405.2413793103449 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

2
outputs/THETA_new_detail.json
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2
outputs/neighborhood_new.json
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2
outputs/survivals_new.json
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6
theta_plot.py
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@ -5,15 +5,15 @@ from matplotlib import markers
blue = '#0984e3'
red = '#d63031'
MAX_ROUND = 16 # = game_end_at + 1
MAX_ROUND = 28 # = game_end_at
x = np.arange(1, MAX_ROUND+1)
tc = np.loadtxt("outputs/THETA_NEW_BA.csv", delimiter=',')
ts = np.loadtxt("outputs/THETA_NEW_WS.csv", delimiter=',')
fig = plt.figure(figsize=(6,4.5))
ax = fig.gca()
ax.plot(x[:-2], tc[:-2], 'o--', color='limegreen', linewidth=2, label=r"BA")
ax.plot(x, ts, 'o-', color='darkorange', linewidth=2, label=r"WS")
ax.plot(x, tc, 'o--', color='limegreen', linewidth=2, label=r"BA")
ax.plot(x[:15], ts[:15], 'o-', color='darkorange', linewidth=2, label=r"WS")
# ax.set_ylim(-1500, 500)
# ax.set_yticks(sp.linspace(-1500, 500, 6))

2
theta_r.py
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@ -22,7 +22,7 @@ import numpy as np
from island.match import Match
from island.matches import Matches
MAX_ROUND = 16 # game_end_at
MAX_ROUND = 28 # game_end_at
class theta_r_i:
def __init__(self):