def evalTeamFitness(individual, BT, stats, p, time):
i = team.calcTeamStats(individual,stats,p,time)
BT = team.calcTeamStats(BT,stats,p,time)
i[stats.index(31)]=i[stats.index(31)]+800
i[stats.index(32)]=i[stats.index(32)]+800
i[stats.index(4)]=i[stats.index(4)]+100
i[stats.index(1)]=i[stats.index(1)]+5
BT[stats.index(31)]=BT[stats.index(31)]+800
BT[stats.index(32)]=BT[stats.index(32)]+800
BT[stats.index(4)]=BT[stats.index(4)]+100
BT[stats.index(1)]=BT[stats.index(1)]+5
x= tuple( [a/b for a,b in zip(i,BT)] )
if 0.0 in x:
print(x)
input()
#return tuple( [a/b for a,b in zip(i,BT)] )
return sum([a/b for a,b in zip(i,BT)])-len(stats),
def test(stat,time):
mystats = team.calcTeamStats(mystarters, stat, players, time)
head = team.statidHeader(stat)
t1,f1=genetic.run(mystarters,TeamsToInclude=[0,MYTEAMID],StatsToMaximize=stat,
TimeFrame=time, Population=1000, Generations=60)
print('\n\n\n\n\n\n\n')
[print(head[i],mystats[i]) for i in range(len(head))]
print()
gastats = team.calcTeamStats(t1, stat, players, time)
[print(head[i],gastats[i]) for i in range(len(head))]
m = set(mystarters)
g = set(t1)
k = m&g
d = m-g
u = g-m
print('\nKeep:')
for x in k:
p = players[x]
print(p['stats_percentown'],p['stats_percentowndelta'],p['player_name'],p['position_eligible'])
print('\nDrop:')
for x in d:
p = players[x]
print(p['stats_percentown'],p['stats_percentowndelta'],p['player_name'],p['position_eligible'])
print('\nPickup:')
for x in u:
p = players[x]
print(p['stats_percentown'],p['stats_percentowndelta'],p['player_name'],p['position_eligible'])
mystats = team.calcTeamStats(mystarters, st, players, time)
gastats = team.calcTeamStats(t1, st, players, time)
print (gastats)
print (mystats)
print (len(mystats))
print ( sum( [a/b for a,b in zip(gastats,mystats)] ) )
