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lara.py
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lara.py
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import sys
def scan(file):
linesparsed=0
while True:
field = next(file).split(",")
field = [f.strip() for f in field]
field = [int(f) for f in field]
linesparsed+=1
yield [field,linesparsed]
def file_len(fname):
with open(fname) as f:
for i, l in enumerate(f):
pass
return i + 1
def calculateScore(stat,statmax):
score = float(stat)/float(statmax)
return score
def sortedArray(array,i):
array = sorted(array, key=lambda score: score[i])
array = array[::-1]
return array
def appendedPlayersArray(player,playersArray,growing):
FILE = 2
ID = 0
found = False
if(playersArray==[]):
playersArray.append(player)
else:
for p in playersArray:
if(player[ID][ID] == p[ID][ID]):
p[FILE]+=player[FILE]
p[3]+=player[3]
found = True
if(not found and growing == True): # if not found add player
playersArray.append(player)
return playersArray
def main(argv1,argv2):
statsarray = argv1.split(',')
statsarray = [int(stat) for stat in statsarray]
k = int(argv2)
trbparser = astparser = stlparser = blkparser = ptsparser= None
trbmax = blkmax = astmax = stlmax = ptsmax = 0
trblen=astlen=blklen=ptslen=stllen = 0
playersArray = []
for stat in statsarray:
if(stat == 1):
trbfile = open("2017_TRB.csv","r")
trbparser = scan(trbfile)
trblen = file_len("2017_TRB.csv")
with open('2017_TRB.csv') as f:
trbmax = float(f.readline().split(',')[-1])
f.close()
elif(stat == 2):
astfile = open("2017_AST.csv","r")
astparser = scan(astfile)
astlen = file_len("2017_AST.csv")
with open('2017_AST.csv') as f:
astmax = float(f.readline().split(',')[-1])
f.close()
elif(stat == 3):
stlfile = open("2017_STL.csv","r")
stlparser = scan(stlfile)
stllen = file_len("2017_STL.csv")
with open('2017_STL.csv') as f:
stlmax = float(f.readline().split(',')[-1])
f.close()
elif(stat ==4):
blkfile = open("2017_BLK.csv","r")
blkparser = scan(blkfile)
blklen = file_len("2017_BLK.csv")
with open('2017_BLK.csv') as f:
blkmax = float(f.readline().split(',')[-1])
f.close()
elif(stat == 5):
ptsfile = open("2017_PTS.csv","r")
ptsparser = scan(ptsfile)
ptslen = file_len("2017_PTS.csv")
with open('2017_PTS.csv') as f:
ptsmax = float(f.readline().split(',')[-1])
f.close()
filelen = max(trblen,astlen,blklen,ptslen,stllen)
#extreme if more than existing players get asked
if(k>filelen):
k = filelen
growing = True
Wk = []
firsttime=0
prevTarray = []
while True:
T_Array = []
trbflag = astflag = stlflag = blkflag = ptsflag = 0
if(trbparser!=None and trbflag == 0):
trbflag = 1
token = next(trbparser)
temptoken = token
temptoken.append(['trb'])
temptoken.append(calculateScore(token[0][1],trbmax))
temptoken[0].pop(-1)
playersArray = appendedPlayersArray(temptoken,playersArray,growing)
T_Array.append(temptoken)
if(astparser!=None and astflag==0):
astflag = 1
token = next(astparser)
temptoken = token
temptoken.append(['ast'])
temptoken.append(calculateScore(token[0][1],astmax))
temptoken[0].pop(-1)
playersArray = appendedPlayersArray(temptoken,playersArray,growing)
T_Array.append(temptoken)
if(stlparser!=None and stlflag == 0):
stlflag = 1
token = next(stlparser)
temptoken = token
temptoken.append(['stl'])
temptoken.append(calculateScore(token[0][1],stlmax))
temptoken[0].pop(-1)
playersArray = appendedPlayersArray(temptoken,playersArray,growing)
T_Array.append(temptoken)
if(blkparser!=None and blkflag==0):
blkflag = 1
token = next(blkparser)
temptoken = token
temptoken.append(['blk'])
temptoken.append(calculateScore(token[0][1],blkmax))
temptoken[0].pop(-1)
playersArray = appendedPlayersArray(temptoken,playersArray,growing)
T_Array.append(temptoken)
if(ptsparser!=None and ptsflag==0):
ptsflag = 1
token = next(ptsparser)
temptoken = token
temptoken.append(['pts'])
temptoken.append(calculateScore(token[0][1],ptsmax))
temptoken[0].pop(-1)
playersArray = appendedPlayersArray(temptoken,playersArray,growing)
T_Array.append(temptoken)
if(trbflag+blkflag+astflag+stlflag+ptsflag == len(statsarray)):
T = 0
for player in T_Array:
T += player[3]
if(growing == True):
lowerbounds = sortedArray(playersArray,3)
t = lowerbounds[min(k-1,len(lowerbounds)-1)][3]
if(len(statsarray)==1):
W = lowerbounds
if(len(lowerbounds)==k):
print "\t\tTOP-K"
print "------------------------------------------"
for lb in playersArray:
print lb
print "------------------------------------------"
print "\t lines parsed: " + temptoken[1].__str__()
exit(0)
if(t>=T and len(statsarray)!=1 and len(lowerbounds)>=k):
growing = False
Wk = lowerbounds[0:k]
prevTarray = T_Array
else:
for player in playersArray:
player_upper_bound = 0
if( len(player[2])==len(statsarray) ): # if found on every file
player_upper_bound = player[3] # upper bound is lower bound
if(firsttime==0):
player.append(player_upper_bound) # save upper bound
elif(firsttime==1):
player[4]=player_upper_bound
else:
for newPlayer in T_Array:
if newPlayer[2][0] not in player[2]:
player_upper_bound += newPlayer[3]
player_upper_bound += player[3] # upper bound is lower bound
if(firsttime==0):
player.append(player_upper_bound) # save upper bound
elif(firsttime==1):
player[4]=player_upper_bound
firsttime=1
lowerbounds = sortedArray(playersArray,3)
upperbounds = sortedArray(playersArray,4)
W = []
ub = upperbounds[0][-1]
# pruning
prevub = ub
for player in lowerbounds:
if(player[3]>=ub):
W.append(player)
upperbounds.remove(player)
upperbounds = sortedArray(upperbounds,4)
if(len(W)>=k):
print "\t\tTOP-K"
print "------------------------------------------"
W = sortedArray(W,3)
for w in W[0:k]:
print w
print "------------------------------------------"
print "\t lines parsed: " + temptoken[1].__str__()
exit(0)
if(upperbounds!=[]):
ub = upperbounds[0][-1]
prevub = ub
t = lowerbounds[min(k-1,len(lowerbounds)-1)][3]
# pruning
prevTarray = T_Array
if __name__ == "__main__":
main(sys.argv[1],sys.argv[2])