def expStatus(csvname, impcsvfile):
reScore = redis.Redis(host='10.96.142.109', port=6380, db=8)
reSign = redis.Redis(host='10.96.142.109', port=6380, db=7)
with open(csvname, 'w', newline='', encoding='gb2312') as csvfile:
wr = csv.writer(csvfile,
quoting=csv.QUOTE_NONE,
quotechar='',
escapechar='\\')
#progress
impcsv = open(impcsvfile, 'r')
csvline = len(impcsv.readlines())
impcsv = open(impcsvfile, 'r')
reader = csv.reader(impcsv, delimiter=',')
i = 0
printProgress(i,
csvline,
prefix='Process',
suffix='Complete',
barLength=50)
for row in reader:
exprow = [1 for x in range(9)]
exprow[1] = row[0] #studentcode
exprow[2] = row[1] #courseid
#get score
score = reScore.hget('maxscore', ''.join(row))
#print("{}:{}".format(''.join(row),score))
if score is not None:
scorelist = score.decode('utf-8').split(',')
if float(scorelist[0]) > 59:
exprow[3] = '4' #studystatus
exprow[5] = scorelist[0] #score
exprow[6] = scorelist[1] #scorecode
exprow[7] = scorelist[2] #scoretype
#get signnum
sign = reSign.get(''.join(row))
if sign is not None:
exprow[4] = sign.decode('utf-8')
wr.writerow(exprow)
i += 1
printProgress(i,
csvline,
prefix='Process',
suffix='Complete',
barLength=50)
impcsv.close()
def expStatus(csvname,impcsvfile):
reScore = redis.Redis(host='10.96.142.109',port=6380,db=8)
reSign = redis.Redis(host='10.96.142.109',port=6380,db=7)
with open(csvname,'w',newline='',encoding='gb2312') as csvfile:
wr = csv.writer(csvfile,quoting=csv.QUOTE_NONE,quotechar='',escapechar='\\')
#progress
impcsv=open(impcsvfile,'r')
csvline = len(impcsv.readlines())
impcsv=open(impcsvfile,'r')
reader = csv.reader(impcsv,delimiter=',')
i=0
printProgress(i,csvline,prefix='Process',suffix='Complete',barLength=50)
for row in reader:
exprow=[1 for x in range(9)]
exprow[1]=row[0] #studentcode
exprow[2]=row[1] #courseid
#get score
score = reScore.hget('maxscore',''.join(row))
#print("{}:{}".format(''.join(row),score))
if score is not None:
scorelist=score.decode('utf-8').split(',')
if float(scorelist[0])>59:
exprow[3]='4' #studystatus
exprow[5]=scorelist[0]#score
exprow[6]=scorelist[1] #scorecode
exprow[7]=scorelist[2] #scoretype
#get signnum
sign = reSign.get(''.join(row))
if sign is not None:
exprow[4]=sign.decode('utf-8')
wr.writerow(exprow)
i +=1
printProgress(i,csvline,prefix='Process',suffix='Complete',barLength=50)
impcsv.close()
def expScore(csvname,xlsfile,papercodetype='4'):
# get date from score***xls to create composescore
#filename is format that is name such as elc90* or signup90* or score90*
#deal with numeric
studict=getstuinfoDic()
scoredic=getscoreDic()
col_score=['学号','课程ID','考试代码','考试类别代码','试卷号','试卷成绩代码','形考成绩代码','形考比例','综合成绩代码','教学点代码','考试单位类型','考试次数']
batlist={"秋季":"09","春季":"03"}
examunitlist={"中央":"1","省":"2","国开":"1","省开":"2"}
rnNum =[0,1,2,3,4,5] # deal \n
intnum=[11,12,13,14,15,16,17,23,24]
blknum=[18,19,20,21,22]
with open(csvname,'w',newline='',encoding='gb2312') as csvfile:
wr = csv.writer(csvfile,quoting=csv.QUOTE_NONE,quotechar='',escapechar='\\')
wb = xlrd.open_workbook(xlsfile)
tmpCol2=""
tmpCol3=""
tmpCol4=""
tmpCol5=""
for sh in wb.sheets():
if sh.nrows==0:
print("{} is empty".format(sh.name))
continue # return top to get next sheet
# deal with mutilpline
# from the second line
#begin to process
bColOrder=True
rowcollist=sh.row_values(0) #get the column's name from the first row
for i in range(len(col_score)):
rowcollist[i]=rowcollist[i].replace('\n','')
if col_score[i] not in rowcollist[i]:
bColOrder=False
print ("sheet:{} {}'s {} is not current order".format(xlsfile,sh.name,col_score[i]))
break
if bColOrder==False: # if the order of column is not current ,return to get next sheet
continue
lins = [x for x in range(1,sh.nrows)]
iTotal=0
iValid=0
totalLines=len(lins) # total rows
printProgress(0,totalLines,prefix='Process',suffix='Complete',barLength=50)
for rownum in lins:
#print("rownum:{}".format(rownum))
bvalid=True
csvlist=["" for x in range(23)]
rowlist =[str(item).replace('\n',' ').replace(',',' ').strip() for item in sh.row_values(rownum)]
#print("{},{}".format(rownum,rowlist))
# get current student's info dicts
dic_current=studict[removelast(rowlist[0])]
csvlist[0]="1" # SN
csvlist[1]=dic_current['LEARNINGCENTERCODE'][:3] #segmentcode
csvlist[2]=dic_current['LEARNINGCENTERCODE'][:5] #collegecode
#get info by dic
if removelast(rowlist[0]) not in studict.keys():
bvalid=False
print("{}:{},{}:{} no find".format(sh.name,rownum+1,rowlist[0],rowlist[9]))
else:
#dic = eval(infodic[1])
# get current student's info dicts
csvlist[3]=dic_current['CLASSCODE'] #classcode
csvlist[4]=rowlist[2].rstrip('0').rstrip('.') #examPlanCode
csvlist[5]=str(rowlist[3].rstrip('0').rstrip('.')).zfill(2) #ExamCategory
csvlist[6]=examunitlist[rowlist[10]]
csvlist[7]=str(removelast(rowlist[1])).zfill(5) #courseid
if papercodetype=='4':
oldpapercode=str(removelast(rowlist[4])) # if papercode 's lenght is 3 or 4
if len(oldpapercode)<4:
oldpapercode=oldpapercode.zfill(4)
csvlist[8]=newPaperCode(oldpapercode) if len(oldpapercode)==4 else oldpapercode
else:
csvlist[8]=str(removelast(rowlist[4])).zfill(5)
csvlist[9]=dic_current['LEARNINGCENTERCODE'] #learningcentercode
csvlist[10]=removelast(rowlist[0]) #studentcode
scorelist=()
#print("{key}{val}".format(key=rowlist[5],val=getRedis(rowlist[5])))
#get score by scoredic
#print (rowlist[5])
if rowlist[5]!='':
csvlist[12]=score2round(rowlist[5])# PaperScoreCode
csvlist[11]=scoredic[csvlist[12]] #PaperScore
if rowlist[6]!='':
csvlist[14]=score2round(rowlist[6]) #xkscorecode
csvlist[13]=scoredic[csvlist[14]] #XKscore
#xk scale
valscale='0'
#print (rowlist[7])
if is_number(rowlist[7]):
if float(rowlist[7])<=1.0:
valscale='%d'%(float(rowlist[7])*100)
else:
valscale='%d'%float(rowlist[7])
else :
valscale=rowlist[7].rstrip('%')
csvlist[15]=valscale #xkscale
# composescore
if rowlist[8]!='':
csvlist[17]=score2round(rowlist[8]) #composescorecode
csvlist[16]=scoredic[csvlist[17]] #composescore
#csvlist[18] #composeDate
#csvlist[19] #publistdate
csvlist[20]="1"
csvlist[21]="1"
csvlist[22]="end"
iTotal+=1
printProgress(iTotal,totalLines,prefix='Process',suffix='Complete',barLength=50)
#print(iTotal)
if bvalid==True:
iValid+=1
wr.writerow(csvlist)
print("{}:Totla{},valid{}".format(sh.name,iTotal,iValid))
currelfreq = float(countdict[word])/total
maxsofar = currelfreq
bestsplit = word
toks = tokenize(word)
for tokenization in toks[1:]:
if tokenization:
score = reduce(mul, [countdict[j]/float(total) for j in tokenization])
if score>maxsofar:
maxsofar = score
bestsplit = tokenization
if maxsofar > currelfreq:
wtd[word] = bestsplit
for token in bestsplit:
if token in wtd.keys():
del wtd[token]
#sys.stdout.write("\nGoing to delete "+word);sys.stdout.flush()
if not i%500:
progressbar.printProgress(i,length)
print "done!"
sys.stdout.write("Deleting uncommons...");sys.stdout.flush()
for word,split in wtd.items():
val = countdict[word]
del countdict[word]
for token in split:
countdict[token] += val
print "done!"
sys.stdout.write("Saving new model...");sys.stdout.flush()
with gzip.open('engmodel3.json.gz', 'wb') as f:
f.write(json.dumps(countdict, f, separators=(',',':')))
print "done!"""
and arrivals.created_at <= '{time_now}'
'''.format(**locals())
#TODO: recalculate high water mark based on all dependant table updates
#TODO: ^rather, maybe run a cron job that sets given arrivals to updates if one
# of their dependant tables is updated
es_cursor = easiersolar.cursor(buffered=True)
es_cursor.execute(query_sql)
rows = es_cursor.fetchall()
print '%d arrivals found for given timeframe' % len(rows)
#for each row in easiersolar arrivals db
for index, row in enumerate(rows):
progressbar.printProgress(index, len(rows), prefix = 'Progress:', suffix = 'Complete', barLength = 25)
_w.arrival_facts.clear_data()
#####################
#get data from current easiersolar arrival row
row = list(row)
arrival_id_internal = row[0]
arrival_id_external = row[1]
_w.created_at.data = row[2]
_w.updated_at.data = row[3]
_w.user_agent.data = row[4]
_w.ip_address.data = row[5]
_w.gclid.data = row[6]
if _w.gclid.data:
_w.has_gclid.data = 1
else:
def main():
player_score_sums = dict.fromkeys(player_id_list)
player_num_samples = dict.fromkeys(player_id_list)
player_names = dict.fromkeys(player_id_list)
player_status = dict.fromkeys(player_id_list)
#initialize dictionaries
for s in player_id_list:
player_score_sums[s] = 0.0
player_num_samples[s] = 0
player_names[s] = nflgame.players[s].name
player_status[s] = nflgame.players[s].status
current_year, current_week = nflgame.live.current_year_and_week()
years = range(current_year - 2, current_year + 1)
weeks = dict.fromkeys(years)
weeks[current_year] = range(1, current_week + 1)
for y in years[:-1]:
weeks[y] = range(1, 18)
#set up probabilities for choosing a given season (more weight given to current year, scaled based on how many weeks have passed in season)
p_current_year = 0.5 * float(current_week) / 17.0
p_previous_years = 1.0 - p_current_year
N = 10000 #number of Monte Carlo samples
for j in xrange(N):
year = np.random.choice(years,
p=[
0.25 * p_previous_years,
0.75 * p_previous_years, p_current_year
])
if year == current_year:
week = np.random.randint(1, current_week + 1)
else:
week = np.random.randint(1, 18)
for p in get_games(year, week):
#p is a nflgame.player.GamePlayerStats object
if p.player is None:
continue
else:
player_score_sums[p.playerid] += score_player(p)
player_num_samples[p.playerid] += 1
progressbar.printProgress(j + 1,
N,
prefix="Monte Carlo sample {}".format(j + 1),
barLength=40)
score_sums = pd.DataFrame(player_score_sums.items(),
columns=["playerid", "sum_scores"])
num_samples = pd.DataFrame(player_num_samples.items(),
columns=["playerid", "num_samples"])
ave_player_scores = score_sums.copy()
ave_player_scores['name'] = ave_player_scores['playerid'].map(
player_names) #add player names to data frame
ave_player_scores['num_samples'] = num_samples['num_samples']
ave_player_scores['status'] = ave_player_scores['playerid'].map(
player_status)
ave_player_scores.columns = [
'playerid', 'ave score', 'name', 'num_samples', 'status'
]
ave_player_scores['ave score'] /= num_samples['num_samples']
ave_player_scores = ave_player_scores[np.isfinite(
ave_player_scores['ave score'])]
ave_player_scores = ave_player_scores.sort_values(by='ave score',
ascending=False)
ave_player_scores = ave_player_scores[ave_player_scores['status'] == "ACT"]
print ave_player_scores.head(n=50)
def run(self):
'''this function runs the annealing protocol and creates attributes to store the data within the class'''
# find the ground state of the base hamiltonian
base_eigen_vals0, base_eigen_vecs0 = np.linalg.eigh(
self.H(0)
) # the minus sign before the base hamiltonian is because we use H(s) = -A(s)Hb + B(s)Hp and H(0) = -Hb
self.base_x0 = base_eigen_vecs0[:, base_eigen_vals0.argmin(
)] + 0.j * base_eigen_vecs0[:, base_eigen_vals0.argmin()]
# we need to distinguish between the ground state of the base hamiltonian and the base state of the hamiltonian at t=0 because these may be different
start_eigen_vals0, start_eigen_vecs0 = np.linalg.eigh(self.H(0))
self.start_x0 = start_eigen_vecs0[:, start_eigen_vals0.argmin(
)] + 0.j * start_eigen_vecs0[:, start_eigen_vals0.argmin()]
# find the ground state of the problem hamiltonian
d, P = np.linalg.eigh(self.Hp)
self.problem_x0s = [
P[:, d == min(d)][:, i] for i in range(P[:, d == min(d)].shape[1])
]
# set the time steps
dt = self.T / self.points
# set up data stores for the anneal whilst setting the inital state to be th ground state on the base hamiltonian
self.states = [self.base_x0] # store the vector wavestates
self.instant_x0s = [] # store the instantaneous ground state
self.eigenvals = [] # store the energy eigenvalues
self.delta_eigenvals = []
self.problem_x0_prob = [
] # store the probabilities of being measured in the problem base state
self.instant_x0s_prob = [
] # store the probabilities of being measured in the instantaneous base state
# carry out the anneal whilst storing the state and the energy eigenvalues thoughout the process
l = len(self.ss) - 1
if self.method == 'Euler':
for i in range(len(self.ss)):
# print loading bar but only update after each full percent has been completed
if (((i + 1) * 100 %
(l + 1) <= 100) or i == l) and self.show_bar:
printProgress(i,
l,
prefix='Annealing: ',
suffix='est_time',
decimals=0,
barLength=50,
PROGRESS_IT_NUMBER=self.PITNUM)
self.euler_update(dt, i)
if self.light and i == self.points - 1: # calculate only the last probability of success
self.problem_x0_prob.append(
sum([
abs(
np.dot(self.states[-1].getH(),
prob_x0_pos)**2).item(0)
for prob_x0_pos in self.problem_x0s
]))
elif self.method == 'RK4':
for i in range(len(self.ss)):
# print loading bar but only update after each full percent has been completed
if (((i + 1) * 100 %
(l + 1) <= 100) or i == l) and self.show_bar:
printProgress(i,
l,
prefix='Annealing: ',
suffix='est_time',
decimals=0,
barLength=50,
PROGRESS_IT_NUMBER=self.PITNUM)
# update and store the data with this function
if i != self.points - 1: # the Runge Kutta technique won't work on the last step since it needs to index i+1
self.rk4_update(dt, i)
else:
self.euler_update(dt, i)
if self.light and i == self.points - 1: # calculate only the last probability of success
self.problem_x0_prob.append(
sum([
abs(
np.dot(self.states[-1].getH(),
prob_x0_pos)**2).item(0)
for prob_x0_pos in self.problem_x0s
]))
# set attributes to store the data
self.states = self.states[1:]
# self.instant_x0s = instant_x0s I have decided I don't need these stored
self.eigenvals = np.asarray(self.eigenvals)
self.delta_eigenvals = np.asarray(self.delta_eigenvals)
self.problem_x0_prob = np.asarray(self.problem_x0_prob)
self.instant_x0s_prob = np.asarray(self.instant_x0s_prob)
del self.PITNUM # Don't need this anymore. It was just to see when running
del self.show_bar
def expScore(csvname, xlsfile, papercodetype='4'):
# get date from score***xls to create composescore
#filename is format that is name such as elc90* or signup90* or score90*
#deal with numeric
studict = getstuinfoDic()
scoredic = getscoreDic()
col_score = [
'学号', '课程ID', '考试代码', '考试类别代码', '试卷号', '试卷成绩代码', '形考成绩代码', '形考比例',
'综合成绩代码', '教学点代码', '考试单位类型', '考试次数'
]
batlist = {"秋季": "09", "春季": "03"}
examunitlist = {"中央": "1", "省": "2", "国开": "1", "省开": "2"}
rnNum = [0, 1, 2, 3, 4, 5] # deal \n
intnum = [11, 12, 13, 14, 15, 16, 17, 23, 24]
blknum = [18, 19, 20, 21, 22]
with open(csvname, 'w', newline='', encoding='gb2312') as csvfile:
wr = csv.writer(csvfile,
quoting=csv.QUOTE_NONE,
quotechar='',
escapechar='\\')
wb = xlrd.open_workbook(xlsfile)
tmpCol2 = ""
tmpCol3 = ""
tmpCol4 = ""
tmpCol5 = ""
for sh in wb.sheets():
if sh.nrows == 0:
print("{} is empty".format(sh.name))
continue # return top to get next sheet
# deal with mutilpline
# from the second line
#begin to process
bColOrder = True
rowcollist = sh.row_values(
0) #get the column's name from the first row
for i in range(len(col_score)):
rowcollist[i] = rowcollist[i].replace('\n', '')
if rowcollist[i] not in str(col_score[i]).split(','):
bColOrder = False
print("sheet:{} {}'s number:{} column,{} is not match {}".
format(xlsfile, sh.name, i, col_score[i],
rowcollist[i]))
break
if bColOrder == False: # if the order of column is not current ,return to get next sheet
continue
lins = [x for x in range(1, sh.nrows)]
iTotal = 0
iValid = 0
totalLines = len(lins) # total rows
printProgress(0,
totalLines,
prefix='Process',
suffix='Complete',
barLength=50)
for rownum in lins:
#print("rownum:{}".format(rownum))
bvalid = True
csvlist = ["" for x in range(23)]
rowlist = [
str(item).replace('\n', ' ').replace(',', ' ').strip()
for item in sh.row_values(rownum)
]
#print("{},{}".format(rownum,rowlist))
# get current student's info dicts
if removelast(rowlist[0]) not in studict.keys():
bvalid = False
print("{}:{},{}:{} no find".format(sh.name, rownum + 1,
rowlist[0], rowlist[9]))
else:
#dic = eval(infodic[1])
# get current student's info dicts
dic_current = studict[removelast(rowlist[0])]
csvlist[0] = "1" # SN
csvlist[1] = dic_current[
'LEARNINGCENTERCODE'][:3] #segmentcode
csvlist[2] = dic_current[
'LEARNINGCENTERCODE'][:5] #collegecode
#get info by dic
csvlist[3] = dic_current['CLASSCODE'] #classcode
csvlist[4] = rowlist[2].rstrip('0').rstrip(
'.') #examPlanCode
csvlist[5] = str(rowlist[3].rstrip('0').rstrip('.')).zfill(
2) #ExamCategory
csvlist[6] = examunitlist[rowlist[10]]
csvlist[7] = str(removelast(rowlist[1])).zfill(
5) #courseid
if papercodetype == '4':
oldpapercode = str(removelast(
rowlist[4])) # if papercode 's lenght is 3 or 4
if len(oldpapercode) < 4:
oldpapercode = oldpapercode.zfill(4)
try:
csvlist[8] = newPaperCode(oldpapercode) if len(
oldpapercode) == 4 else oldpapercode
except (ValueError):
print("papercode error: line number {}".format(
rownum + 1))
pass
else:
csvlist[8] = str(removelast(rowlist[4])).zfill(5)
csvlist[9] = dic_current[
'LEARNINGCENTERCODE'] #learningcentercode
csvlist[10] = removelast(rowlist[0]) #studentcode
scorelist = ()
#print("{key}{val}".format(key=rowlist[5],val=getRedis(rowlist[5])))
#get score by scoredic
#print (rowlist[5])
if rowlist[5] != '' and str(rowlist[5]).upper() != 'NULL':
csvlist[12] = score2round(rowlist[5]) # PaperScoreCode
csvlist[11] = scoredic[csvlist[12]] #PaperScore
if rowlist[6] != '' and str(rowlist[6]).upper() != 'NULL':
csvlist[14] = score2round(rowlist[6]) #xkscorecode
try:
csvlist[13] = scoredic[csvlist[14]] #XKscore
except:
print("score error line:{}".format(rownum + 1))
pass
#xk scale
valscale = '0'
#print (rowlist[7])
if is_number(rowlist[7]):
if float(rowlist[7]) <= 1.0:
valscale = '%d' % (float(rowlist[7]) * 100)
else:
valscale = '%d' % float(rowlist[7])
else:
valscale = rowlist[7].rstrip('%')
csvlist[15] = valscale #xkscale
# composescore
if rowlist[8] != '' and str(rowlist[8]).upper() != 'NULL':
csvlist[17] = score2round(
rowlist[8]) #composescorecode
try:
csvlist[16] = scoredic[csvlist[17]] #composescore
except:
print("composescore error line:{}".format(rownum +
1))
pass
#csvlist[18] #composeDate
#csvlist[19] #publistdate
csvlist[20] = "1"
csvlist[21] = "1"
csvlist[22] = "end"
iTotal += 1
printProgress(iTotal,
totalLines,
prefix='Process',
suffix='Complete',
barLength=50)
#print(iTotal)
if bvalid == True:
iValid += 1
wr.writerow(csvlist)
print("{}:Totla{},valid{}".format(sh.name, iTotal, iValid))
def expScore(csvname,xlsfile):
# get date from score***xls to create composescore
#filename is format that is name such as elc90* or signup90* or score90*
#deal with numeric
col_score=['学号','课程ID','考试代码','考试类别代码','试卷号','试卷成绩代码','形考成绩代码','形考比例','综合成绩代码','教学点代码','考试单位类型','考试次数']
batlist={"秋季":"09","春季":"03"}
examunitlist={"中央":"1","省":"2"}
rnNum =[0,1,2,3,4,5] # deal \n
intnum=[11,12,13,14,15,16,17,23,24]
blknum=[18,19,20,21,22]
with open(csvname,'w',newline='',encoding='gb2312') as csvfile:
wr = csv.writer(csvfile,quoting=csv.QUOTE_NONE,quotechar='',escapechar='\\')
wb = xlrd.open_workbook(xlsfile)
tmpCol2=""
tmpCol3=""
tmpCol4=""
tmpCol5=""
for sh in wb.sheets():
if sh.nrows==0:
print("{} is empty".format(sh.name))
continue
# deal with mutilpline
# from the second line
bColOrder=True
rowcollist=sh.row_values(0)
for i in range(len(col_score)):
rowcollist[i]=rowcollist[i].replace('\n','')
if col_score[i] not in rowcollist[i]:
bColOrder=False
print ("sheet:{} {}'s {} is not current order".format(xlsfile,sh.name,col_score[i]))
break
if bColOrder==False:
continue
lins = [x for x in range(1,sh.nrows)]
iTotal=0
iValid=0
totalLines=len(lins)
printProgress(0,totalLines,prefix='Process',suffix='Complete',barLength=50)
for rownum in lins:
bvalid=True
csvlist=["" for x in range(22)]
rowlist =[str(item).replace('\n',' ').replace(',',' ').strip() for item in sh.row_values(rownum)]
#print("{},{}".format(rownum,rowlist))
csvlist[0]="1" # SN
csvlist[1]=rowlist[9][:3] #segmentcode
csvlist[2]=rowlist[9][:5] #collegecode
#get info by redis
infodic=getRedis(rowlist[0])
if infodic[1]=='':
bvalid=False
print("{}:{},{} no find".format(sh.name,rownum,rowlist[0]))
else:
dic = eval(infodic[1])
csvlist[3]=dic['classcode'] #classcode
csvlist[4]=rowlist[2].rstrip('0').rstrip('.') #examPlanCode
csvlist[5]=rowlist[3] #ExamCategory
csvlist[6]=examunitlist[rowlist[10]]
csvlist[7]=removelast(rowlist[1]) #courseid
csvlist[8]=newPaperCode('%d'%float(rowlist[4]))
csvlist[9]=dic['learningcentercode'] #learningcentercode
csvlist[10]=removelast(rowlist[0]) #studentcode
scorelist=()
#print("{key}{val}".format(key=rowlist[5],val=getRedis(rowlist[5])))
scorelist=getRedis(rowlist[5])
csvlist[11]=scorelist[1] #PaperScore
csvlist[12]=scorelist[0] # PaperScoreCode
scorelist=getRedis(rowlist[6])
csvlist[13]=scorelist[1] #XKscore
csvlist[14]=scorelist[0] #xkscorecode
valscale='0'
#print (rowlist[7])
if is_number(rowlist[7]):
if float(rowlist[7])<=1.0:
valscale='%d'%(float(rowlist[7])*100)
else:
valscale='%d'%float(rowlist[7])
else :
valscale=rowlist[7].rstrip('%')
csvlist[15]=valscale #xkscale
scorelist=getRedis(rowlist[8])
csvlist[16]=scorelist[1] #composescore
csvlist[17]=scorelist[0]
#csvlist[18] #composeDate
#csvlist[19] #publistdate
csvlist[20]="1"
csvlist[21]="1"
iTotal+=1
printProgress(iTotal,totalLines,prefix='Process',suffix='Complete',barLength=50)
if bvalid==True:
iValid+=1
wr.writerow(csvlist)
print("{}:Totla{},valid{}".format(sh.name,iTotal,iValid))