50 lines
1.5 KiB
Python
50 lines
1.5 KiB
Python
from island.match import Match
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from island.matches import Matches
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import numpy as np
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import csv
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import json
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def calcAndSave(mode, network_type=None):
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MAX_ROUND = 28 # = game_end_at
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# matches = Matches.from_profile(mode)
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matches = Matches('wos-data-2022-1', network_type=network_type)
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times = np.zeros(MAX_ROUND)
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cs = np.zeros(MAX_ROUND)
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crs = []
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for m in matches.data:
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maxr = int(m.query('game', 'created').first()['info']['game_end_at'])
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c = [0]*maxr
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for r in range(1, maxr+1):
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rows = m.query('action', 'done').where(lambda x: x['rno'] == r).raw_data
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coop = 0
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for row in rows:
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if row['act_a'] == 'C':
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coop += 1
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if row['act_b'] == 'C':
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coop += 1
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if rows:
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times[r-1] += len(rows) * 2
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cs[r-1] += coop
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c[r - 1] = coop / (len(rows) * 2)
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with open(f"outputs/CR_{m.name}.csv", 'w') as f:
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csv.writer(f).writerow(c)
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crs.append(c)
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for i in range(MAX_ROUND):
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if(times[i] == 0):
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times[i] = 1
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cs /= times
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with open("outputs/CR_%s_%s.csv"%(mode, network_type), 'w') as f:
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csv.writer(f).writerow(cs)
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with open("outputs/CRAW_%s_%s.json"%(mode, network_type), 'w') as f:
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json.dump(crs, f)
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if __name__ == '__main__':
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# calcAndSave('CLASSIC')
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# calcAndSave('SURVIVE')
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calcAndSave('NEW', 'BA')
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calcAndSave('NEW', 'WS')
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