def Read(self, filename):
pdbfile = open(filename)
sys.stderr.write("Opened '%s' for reading as PDB\n" % filename)
while(1):
line = pdbfile.readline()
if line == '':
break
if line[0:4] == 'ATOM' or line[0:6] == 'HETATM':
type = string.strip(line[0:6])
anum = string.atoi(string.strip(line[7:11]))
atom = string.strip(line[12:17])
residue = string.strip(line[17:20])
chain = string.strip(line[21:22])
rnum = string.atoi(string.strip(line[23:26]))
x = string.atof(string.strip(line[31:38]))
y = string.atof(string.strip(line[39:46]))
z = string.atof(string.strip(line[47:54]))
self.records.append(PDBRecord(type, anum, atom, residue, chain, rnum))
self.crds.append((x,y,z))
self.crds = Numeric.array(self.crds)
def LoadFile(self,FileName):
fp = open(str(FileName),'r')
self.FileName = FileName
lines = fp.readlines()
NumAtom = string.atoi(lines[0])
self.NumAtom = NumAtom
AtomStr = []*4
self.AtomName = [None]*NumAtom
self.AtomId = [None]*NumAtom
self.AtomPos = [None]*NumAtom
self.AtomVel = [None]*NumAtom
x = 0.0
y = 0.0
z = 0.0
for i in range(NumAtom):
self.AtomId[i] = i+1
AtomStr = string.split(lines[i+2])[0:4]
self.AtomName[i] = AtomStr[0]
x = string.atof(AtomStr[1])
y = string.atof(AtomStr[2])
z = string.atof(AtomStr[3])
self.AtomPos[i] = Vector(x,y,z)
self.AtomVel[i] = Vector()
def extractDM(Shash,Dhash,outfile):
outfile = open(outfile,'w')
Smuts = sorted(Shash.keys())
outfile.write('Background'+"\t"+'Fit'+"\t"+"\t".join(Smuts)+"\n")
countben = 0
for mut1 in Smuts:
if Shash[mut1] > 1: countben += 1; continue
outfile.write(mut1+"\t"+str(Shash[mut1]))
for mut2 in Smuts:
Dmut= ''
fit = '' #fit actually means fraction folded
Smut1Fit = fit2energy(cap(floor(atof(Shash[mut1]))))
Smut2Fit = fit2energy(cap(floor(atof(Shash[mut2]))))
if Dhash.has_key(mut1+'-'+mut2): Dmut = mut1+'-'+mut2
elif Dhash.has_key(mut2+'-'+mut1): Dmut = mut2+'-'+mut1
if Dmut != '':
#fit = fit2energy(cap(floor(atof(Dhash[Dmut]))))/Smut1Fit/Smut2Fit*Shash[mut1] #
fit = Dhash[Dmut]/Shash[mut2] #Another way of calculating, this way without capping and flooring matches anders
if fit >= 1 or fit <= 0: fit = 'NA'
else: fit = -1.9858775*296/1000*log((1-fit)/fit) - (-1.9858775*296/1000*log((1-Shash[mut1])/Shash[mut1])) #
else: fit = 'NA'
outfile.write("\t"+str(fit))
outfile.write("\n")
outfile.close()
print "There is a total of %d beneficial mutations" % countben
def HexamerFeatures(seq,hash_matrix):
if len(seq) < 6:
return(0,0)
frame_sequence = list(seq)
frame_seq_length = len(frame_sequence)
CDS_array = []
for o in range(0,3):
frame_TempStr = ''
frame_TempStr = InitCodonSeq(o,frame_seq_length-2,3,frame_sequence)
frame_array = frame_TempStr.split(' ') ## codon array
frame_array.pop()
other_num = 0
frame_array_Len = len(frame_array) - 1
for j in range(frame_array_Len):
temp2 = frame_array[j]+frame_array[j+1]
temple4 = re.compile('[atcg]{6}')
if temple4.match(temp2):
other_num = string.atof(other_num) + string.atof(hash_matrix[temp2])
frame_array_Len = frame_array_Len + 2
other_num = other_num / frame_array_Len
CDS_array.append(other_num)
Mscore = max(CDS_array)
score_distance = 0
for m in range(0,3): #problem location
score_distance += Mscore - CDS_array[m]
score_distance = score_distance/float(2)
return(Mscore,score_distance)
def _read_data(self, fp, pos):
fp.seek(pos)
size = fp.readline().split()
self.nrow = atoi(size[0])
self.ncol = atoi(size[1])
self.shape = (self.nrow, self.ncol)
self.nnz = atoi(size[2])
self.irow = np.empty(self.nnz, dtype=np.int)
self.jcol = np.empty(self.nnz, dtype=np.int)
if self.dtype is not None:
self.values = np.empty(self.nnz, dtype=self.dtype)
# Read in data
k = 0
for line in fp.readlines():
line = line.split()
self.irow[k] = atoi(line[0]) - 1
self.jcol[k] = atoi(line[1]) - 1
if self.dtype == np.int:
self.values[k] = atoi(line[2])
elif self.dtype == np.float:
self.values[k] = atof(line[2])
elif self.dtype == np.complex:
self.values[k] = complex(atof(line[2]), atof(line[3]))
k += 1
return k
def get_detailed_store(html, store_cat):
store_list = []
start = 0
while True:
sub_html, start, end = common.extract_closure(html, ur"<li\b", ur"</li>")
if end == 0:
break
# 得到单个门店的页面代码
html = html[end:]
entry = common.init_store_entry(brand_id, brandname_e, brandname_c)
m = re.findall(ur'<div class="store-title -h3a">(.+?)</div>', sub_html)
if len(m) > 0:
entry[common.name_e] = common.reformat_addr(m[0])
m = re.findall(ur'<div class="store-address">(.+?)</div>', sub_html, re.S)
if len(m) > 0:
addr = common.reformat_addr(m[0])
# 最后一行是否为电话号码？
terms = addr.split(", ")
tel = common.extract_tel(terms[-1])
if tel != "":
addr = ", ".join(terms[:-1])
entry[common.tel] = tel
entry[common.addr_e] = addr
# 获得门店类型
# store_type = [store_cat]
type_html, type_start, type_end = common.extract_closure(sub_html, ur'<ul class="service-list">', ur"</ul>")
if type_end != 0:
store_type = [m for m in re.findall(ur'<li class="service-item">(.+?)</li>', type_html)]
store_type.insert(0, store_cat)
entry[common.store_type] = ", ".join(store_type)
else:
entry[common.store_type] = store_cat
# 获得经纬度
m = re.findall(ur'data-latitude="(-?\d+\.\d+)"', sub_html)
if len(m) > 0:
entry[common.lat] = string.atof(m[0])
m = re.findall(ur'data-longitude="(-?\d+\.\d+)"', sub_html)
if len(m) > 0:
entry[common.lng] = string.atof(m[0])
entry[common.city_e] = common.extract_city(data[common.city_e])[0]
entry[common.country_e] = common.reformat_addr(data[common.country_e]).strip().upper()
gs.field_sense(entry)
print "%s: Found store: %s, %s (%s, %s, %s)" % (
brandname_e,
entry[common.name_e],
entry[common.addr_e],
entry[common.city_e],
entry[common.country_e],
entry[common.continent_e],
)
db.insert_record(entry, "stores")
store_list.append(entry)
return store_list
def dealline(rdlin,sepin):
rdlsplit=rdlin.split(sepin)
x0=string.atof(rdlsplit[1])
y0=string.atof(rdlsplit[2])
x1=string.atof(rdlsplit[3])
y1=string.atof(rdlsplit[4])
return x0,y0,x1,y1
def load(self, filename):
self.seqs = []
idx = 0
fp = open(filename, "r")
header = fp.readline().strip("\n").split("\t")
feaidx = [header.index(fld) for fld in header if fld.startswith("f") or fld.startswith("g")]
self.featname = [fld for fld in header if fld.startswith("f") or fld.startswith("g")]
seq_idx = header.index("seq")
pnt_idx = header.index("ptn")
x_idx = header.index("x")
y_idx = header.index("y")
seq = Sequence()
pre_seq = -1
for line in fp.readlines():
pt = myPoint()
line = line.strip("\n")
dr = line.split('\t')
pt.x = string.atof(dr[x_idx])
pt.y = string.atof(dr[y_idx])
for f in feaidx:
pt.addvalue(header[f], string.atof(dr[f]))
if (dr[seq_idx] != pre_seq and pre_seq != -1):
self.seqs.append(seq)
seq = Sequence()
pre_seq = dr[seq_idx]
seq.addPoint(pt)
self.seqs.append(seq)
def signOR(ntot,ns,curs):
ORv={}
snpor = curs.fetchall()
desc = curs.description
ntot += 1
founds=0;
for OR in snpor: ### check all CI
for (name, value) in zip(desc, OR) :
ORv[name[0]] = value
pval = ORv['Pvalue']
ci = ORv['CI']
# print pval
#print ci
if founds == 0:
if ci is not None:
# print 'y',ci
c0=string.atof(ci.split("-", 1)[0])
c1=string.atof(ci.split("-", 1)[1])
if(c1 >1 and c0> 1) or (c0 <1 and c1 < 1):
founds +=1
elif pval is not None and pval <=0.05:
#print 'z', pval
founds +=1
# elif pval is None and ci is not None:
else:
break
ns += founds
return (ntot,ns)
def process_item(self,item,spider):
if spider.name != 'ershoufang5i5j':
return item
#判断是否存在历史价格数据
#这里要用字典类型中的get方法来判断，否则会报错。
#原因是如果housePrice不存在，那么字典旧无法索引找到此项，返回错误；而使用get方法则返回空。
if not item.get('housePrice'):
return item
#打开写入的文件和CSV写入模块
self.file = open('ershoufang5i5j.csv','ab')
csvWriter = csv.writer(self.file)
#格式化item为CSV格式数据
for house in item['housePrice']:
house_area = item['houseArea'][:-2]
price_chengjiao_tmp = item['housePrice'][house]['price_chengjiao']
price_guapai_tmp = item['housePrice'][house]['price_guapai']
price_chengjiao = string.atof(price_chengjiao_tmp) * string.atof(house_area)
price_guapai = string.atof(price_guapai_tmp) * string.atof(house_area)
house_name = item['houseName'].strip()
line = (house,house_name,item['houseCity'],price_chengjiao,price_guapai,house_area,item['houseAddress'],item['houseBaiduLatitude'],item['houseBaiduLongitude'],item['houseTitle'])
csvWriter.writerow(line)
return item
def monitor(url, price_accpet):
idx = 0
timenow = time.strftime("%Y-%m-%d %X", time.localtime())
while True:
#for idx in range(COUNTER):
try:
page = urllib2.urlopen(url, timeout=1000)
page = unicode(page.read(), "gb2312", "ignore").encode("gb2312", "ignore")
soup = BeautifulSoup(page, fromEncoding="gb18030")
global subject_header
subject_header = soup.html.head.title.string
print subject_header
subject_header = ''.join(subject_header.encode('utf-8').split('【')[:-1])
print subject_header
skuid = url.split('/')[-1].split('.')[0]
f = urllib2.urlopen('http://p.3.cn/prices/get?skuid=J_'+skuid, timeout=5)
except Exception, ex:
print ex, 'timenow:%s,couldnot open this %s' % (timenow, url)
continue
price = json.loads(f.read())
f.close()
#print price_promotion
price_promotion = price[0]['p']
print price_promotion, price_accpet
if string.atof(price_promotion) < string.atof(price_accpet):
message = ''.join(['价格降低到 ', (price_promotion.encode('utf-8'))])
subject_header = ''.join([subject_header, message])
print subject_header, '----', message
send_mail(message)
break
time.sleep(60)
def __handle_value(self,value,iskey=False):
tp=self.__value_type(value)
if tp=="datetime":
year,month,day=atoi(value[:4])-1850,atoi(value[5:7]),atoi(value[8:10])
hour,minute,second=atoi(value[11:13]),atoi(value[14:16]),atoi(value[17:19])
d=date(year=year,month=month,day=day).toordinal()
t=(hour*60+minute)*60+second
return "T"+struct.pack("H",d)+struct.pack("I",t)
elif tp=="date":
year,month,day=atoi(value[:4])-1850,atoi(value[5:7]),atoi(value[8:10])
d=date(year=year,month=month,day=day).toordinal()
return "D"+struct.pack("H",d)
elif tp=="int":
return "I"+struct.pack("I",atoi(value))
elif tp=="float":
return "F"+struct.pack("f",atof(value))
elif tp=="@":
pattern=re.compile("(\d+)@(\d+\.\d+)")
match=pattern.match(value)
volume,price=atoi(match.group(1)),atof(match.group(2))
return "A"+struct.pack("I",volume)+"@"+struct.pack("f",price)
else:
if iskey:
if not self.table_key.has_key(value):
self.table_key[value]=len(self.table_key)+1
return "M"+struct.pack("B",self.table_key[value])[0]
else:
return "S"+str(value)
def gui_updateMarkers(self):
M=self.GM.Marker
M.equalize()
n=M.number
for i in range(n):
gm=self.guiMarkers[i]
s=self.guiVar[i][1].get()
if s==0:
M.status[i]='off'
else:
M.status[i]='on'
a=gm[3].getcurselection()
M.size[i]=string.atoi(gm[5].get(0.0,Tkinter.END))
M.symbol[i]=gm[3].getcurselection()
M.color[i]=gm[4].get()
M.id[i]=gm[6].get(0.0,Tkinter.END)[:-1]
M.id_size[i]=string.atoi(gm[7].get(0.0,Tkinter.END))
x=string.atof(gm[8].get(0.0,Tkinter.END))
y=string.atof(gm[9].get(0.0,Tkinter.END))
M.xoffset[i]=x
M.yoffset[i]=y
M.id_color[i]=gm[10].get()
M.id_font[i]=string.atoi(gm[11].getcurselection())
M.line[i]=string.lower(gm[12].getcurselection())
if M.line[i]=='none' : M.line[i]=None
M.line_type[i]=gm[13].getcurselection()
M.line_size[i]=string.atof(gm[14].get(0.0,Tkinter.END))
M.line_color[i]=gm[15].get()
def loadData(self, fName):
# a CVRP has a demand for each node
self.nodeAttributes += [ 'demand' ]
self.globalAttributes += [ 'capacity', 'maximum duration' ]
self.nodes = []
self.attributes = {}
# load a Christofides, Mingozzi and Toth instance
cpt = 0
for line in file.readlines(file(fName)):
line = line.split()
if len(line) > 3:
self.attributes['directed'] = False
self.attributes['capacity'] = string.atoi(line[1])
self.attributes['maximum duration'] = string.atoi(line[2])
elif len(line) >= 2:
thisNode = {}
thisNode['index'] = cpt
thisNode['label'] = str(cpt)
thisNode['is depot'] = True if cpt == 0 else False
thisNode['demand'] = string.atoi(line[2])\
if len(line) > 2 else 0
thisNode['x'] = string.atof(line[0])
thisNode['y'] = string.atof(line[1])
self.nodes.append(thisNode)
cpt += 1
else:
continue
def rescale_canvas_cb(self, value):
value = string.atof(value)
cur_value = math.log10(self.current_zoom_factor)
if abs(cur_value - value) > .5 * string.atof(self.zscale['resolution']):
factor = math.pow(10.0, value) / self.current_zoom_factor
self.zoom_by_factor(factor, 0)
def set_to_sequence():
sl_nodes = nuke.selectedNodes()
sl = nuke.Panel('Set Sequence')
sl.addSingleLineInput('Start', '')
sl.addSingleLineInput('End', '')
ret = sl.show()
if not ret:
return False
start = sl.value('Start')
if ('.' in start):
i_start = string.atof(start)
else:
i_start = string.atoi(start)
end = sl.value("End")
if ('.' in end):
i_end = string.atof(end)
else:
i_end = string.atoi(end)
for node in sl_nodes:
source_file = node['file'].getValue()
dir_name = os.path.dirname(source_file)
base_name = os.path.basename(source_file)
name_list = base_name.split('.')
name_list[-2] = '#' * len(name_list[-2])
new_name = os.path.join(dir_name, '.'.join(name_list))
node['file'].setValue(new_name.replace('\\', '/'))
node['first'].setValue(i_start)
node['last'].setValue(i_end)
node['on_error'].setValue(1)
return True
def usageAct(self):
name=self.__name
pid=self.__pid
useAge="top -bn 1 -p %s |grep %s | awk '{print $9}'"%(pid,pid)
vcpustime="virsh vcpuinfo %s |grep 'CPU time'|awk '{split($3,b,\"s\");print b[1]}'"%(name)
usedtime="virsh cpu-stats %s --total|awk 'NR>2{print $2}'|awk 'BEGIN{sum=0}{sum+=$1}END{print sum}'"%(name)
files=os.popen(useAge)
useAgeTmp=files.readline()
if useAgeTmp:
useAge=string.atof(useAgeTmp)
else:
useAge=0
files=os.popen(usedtime)
usedTimeTmp=files.readline()
if usedTimeTmp:
usedTime=string.atof(usedTimeTmp)
else:
usedTime=0
files=os.popen(vcpustime)
sts=""
while True:
strs=files.readline()
if strs:
sts+=strs[:-1]+","
else:
break
self.__dataSlot["cpu"]["core_time"]=sts
self.__dataSlot["cpu"]["usedTime"]="%.3f"%(usedTime)
self.__dataSlot["cpu"]["useAge"]=useAge
def main ( opt ) :
vcfInfile = opt[0]
if vcfInfile[-3:] == '.gz' :
I = os.popen( 'gzip -dc %s' % vcfInfile )
else :
I = open ( opt.vcfInfile )
newdata,trainData = {}, {}
while 1 :
lines = I.readlines( 100000 )
if not lines : break
for line in lines :
if re.search(r'^#', line) : continue
col= line.strip('\n').split()
vcfinfo = { d.split('=')[0] : d.split('=')[1] for d in col[7].split(';') if len(d.split('=')) == 2 }
vq = string.atof( vcfinfo['VQ'] )
culprit = string.atof( vcfinfo[ vcfinfo['CU'] ] )
if vcfinfo['CU'] not in newdata : newdata[vcfinfo['CU']] = []
if vcfinfo['CU'] not in trainData : trainData[vcfinfo['CU']] = []
if re.search(r'_TRAIN_SITE', col[7]) :
trainData[vcfinfo['CU']].append( [vq, culprit] )
else :
newdata[vcfinfo['CU']].append( [vq, culprit] )
I.close()
figName = 'fig'
if len(opt) > 1 : figName = opt[1]
Draw ( newdata, trainData, figName )
def inputsqx1(databasename,sqxfilename,rampid,verid):
#读入竖曲线
#输入纬地数据的纵断面地面线
theproject=incadproject()
theproject.openproject(databasename)
if not theproject.haveramp(rampid):
print("\n错误，未找到指定的匝道")
if theproject.havevertical(rampid,verid):
grd=theproject.vertical(rampid,verid)
grd.removeall()
else:
grd=theproject.newvertical(rampid,verid,"旧路地面线作为交点")
#读入竖曲线设计线文件
fi=file(sqxfilename)
index=0
ff=fi.readlines()
for lines in ff:
if index <> 0:
#忽略文件头
di=lines.split()
ch=string.atof(di[0])
high=string.atof(di[1])
grd.append(ch,high,0)
print "读入桩号/高程:", ch,high
index=index+1
grd.cal()
grd.save()
fi.close()
theproject.closeproject()
print "共读入交点<",index,">"
print "完成读入纬地设计线输入"
def read_positions( self ):
j = 1
for s in self.species:
for i in range( 0, self.species[s] ):
if j > 1:
self.getline()
# end if
# POSCAR or CHGCAR
try:
( x, y, z, xm, ym, zm, no, symb ) = self.line()
except:
( x, y, z, no, symb ) = self.line()
xm = ym = zm = 'T'
# end try
x = string.atof( x )
y = string.atof( y )
z = string.atof( z )
no = string.atoi( no )
# without renumbering
self.geom.add( AtomPos( symbol = symb, no = no,
vec = [ x, y, z ],
moveable = [ xm, ym, zm ] ), False )
if self.debug:
print " %05d Process:" % self.lc(), "%4d" % j, "%3d" % i, "%2s" % s, self.line()
# end if
j += 1
def get_md(request):
def total_IO(s):
total = 0
list_by_sharp = s.split("#")
for l in list_by_sharp:
v = string.atof(l.split(":")[1])
total = total + v
return total
result = {}
rediscli = ThRedisClient("localhost")
qin = request.GET["query"].split(",")
tstart = request.GET["stime"]
if tstart == "latest":
for id in qin:
temp = {}
try:
iinfo = rediscli.get1byinstance(id, -1).split("$")
temp["cpu"] = iinfo[0] + "%"
mem_usage = round((string.atof(iinfo[2]) - string.atof(iinfo[1])) / string.atof(iinfo[2]) * 100, 2)
temp["mem"] = mem_usage if mem_usage <= 100 else 100
temp["netin"] = string.atoi(iinfo[3].split(":")[1]) / 1024 / 1024
temp["netout"] = string.atoi(iinfo[4].split(":")[1]) / 1024 / 1024
result[id] = temp
except Exception, e:
result[id] = None
def single():
infile = open('Doc/SMutList','r')
outfile = open('result/SingleSub.txt','w')
header = "\t".join(['Substitution-WTaa','Substitution-Pos','Substitution-Mutaa','InputCount','SelectionCount(SumOfTriplicates)'])
outfile.write(header+"\n")
Shash = {}
for line in infile.xreadlines():
if 'Mut' in line: continue
line = line.rstrip().rsplit("\t")
mut = line[0]
DNA = line[1]
sel1 = int(line[3])
sel2 = int(line[4])
sel3 = int(line[5])
SEL = line[6]
wtaa = mut[0]
pos = str(int(mut[1:-1])+1)
mutaa = mut[-1]
out = "\t".join([wtaa,pos,mutaa,DNA,SEL])
outfile.write(out+"\n")
DNAfreq = atof(DNA)/atof(line[7])
Selfreq = atof(SEL)/atof(line[12])
fit = Selfreq/DNAfreq
Shash[wtaa+pos+mutaa] = fit
infile.close()
outfile.close()
return Shash
def parseGSA(self, words):
if len(words[1]):
(self.mode, self.LATLON) = self.update(self.mode, string.atoi(words[1]), self.LATLON)
self.fix = ["none", "2d", "3d"][string.atoi(words[1]) - 1]
else:
self.fix = "none"
usedSatellites = [int(i) for i in words[2:13] if i != ""]
for prn, sat in self.sats.iteritems():
if prn in usedSatellites:
sat.used = True
sat.gsaLast = self.gsaLast
elif self.gsaLast - sat.gsaLast > 2:
sat.used = False
self.gsaLast += 1
if words[14] != "":
self.pdop = string.atof(words[14])
if words[15] != "":
self.hdop = string.atof(words[15])
if words[16] != "":
self.vdop = string.atof(words[16])
if self.vdop == 0:
self.vdop = None
def fromXYZrecord(cls,aline):
AtomStr = string.split(aline)[0:4]
name = AtomStr[0]
x = string.atof(AtomStr[1])
y = string.atof(AtomStr[2])
z = string.atof(AtomStr[3])
return cls(name,[x,y,z])
def do_lat_lon(self, words):
if len(words[0]) == 0 or len(words[1]) == 0: # empty strings?
return
if words[0][-1] == "N":
words[0] = words[0][:-1]
words[1] = "N"
if words[0][-1] == "S":
words[0] = words[0][:-1]
words[1] = "S"
if words[2][-1] == "E":
words[2] = words[2][:-1]
words[3] = "E"
if words[2][-1] == "W":
words[2] = words[2][:-1]
words[3] = "W"
if len(words[0]):
lat = string.atof(words[0])
frac, intpart = math.modf(lat / 100.0)
lat = intpart + frac * 100.0 / 60.0
if words[1] == "S":
lat = -lat
(self.lat, self.LATLON) = self.update(self.lat, lat, self.LATLON)
if len(words[2]):
lon = string.atof(words[2])
frac, intpart = math.modf(lon / 100.0)
lon = intpart + frac * 100.0 / 60.0
if words[3] == "W":
lon = -lon
(self.lon, self.LATLON) = self.update(self.lon, lon, self.LATLON)
def AUTOatof(input_string):
#Sometimes AUTO messes up the output. I.e. it gives an
#invalid floating point number of the form x.xxxxxxxE
#instead of x.xxxxxxxE+xx. Here we assume the exponent
#is 0 and make it into a real real number :-)
try:
value=string.atof(input_string)
except (ValueError):
try:
if input_string[-1] == "E":
# This is the case where you have 0.0000000E
value=string.atof(strip(input_string)[0:-1])
elif input_string[-4] == "-":
# This is the case where you have x.xxxxxxxxx-yyy
value=0.0
else:
print "Encountered value I don't understand"
print input_string
print "Setting to 0"
value=0.0
except:
print "Encountered value which raises an exception while processing!!!"
print input_string
print "Setting to 0"
value=0.0
return value
def TF_rotate( self, c = [] ):
s = c[0]
n = string.atoi( c[1] )
# direction
u = numpy.array( [ 0.0, 0.0, 0.0 ] )
u[0] = string.atof( c[2] )
u[1] = string.atof( c[3] )
u[2] = string.atof( c[4] )
# angle
t = string.atof( c[5] )
self.cart()
atom = self.get( n )
if atom.symbol != s:
raise Warning( "Symbol mismatch" )
# end if
origo = atom.position
print " TF/rotate origo"
atom.info()
print " TF/rotate",u,t
R = ROT(u,t)
# copy atoms
for atom in self.atoms:
dv = atom.position - origo
dv = numpy.dot(R,dv)
atom.position = dv + origo
# end for
self.direct()
return self
def down(each, j, data): url = 'http://www.worldweather.cn/zh/json/'+str(each)+'_zh.xml' html = urllib2.urlopen(url).read() con = json.loads(html)['city'] name = con['cityName'] memName = con['member']['memName'] data.write(j, 0, name) data.write(j, 1, memName) data.write(j, 2, each) month_list = con['climate']['climateMonth'] list_len = len(month_list) for i in range(list_len): #print i['month'],i['minTemp'],i['maxTemp'],i['rainfall'],i['raindays'] minTemp = month_list[i]['minTemp'] maxTemp = month_list[i]['maxTemp'] rainfall = month_list[i]['rainfall'] raindays = month_list[i]['raindays'] print month_list[i]['month'], minTemp, maxTemp, rainfall, raindays if not func(minTemp): minTemp = 0 if not func(maxTemp): maxTemp = 0 if not func(rainfall): rainfall = 0 if not func(raindays): raindays = 0 data.write(j, 4*i+3, string.atof(minTemp)) data.write(j, 4*i+4, string.atof(maxTemp)) data.write(j, 4*i+5, string.atof(rainfall)) data.write(j, 4*i+6, string.atof(raindays))
def storeTimedCurrentCostDatav2(self, reftimestamp, ccdb, hist):
global trc
trc.FunctionEntry("storeTimedCurrentCostDatav2")
# months
for i in range(1, 10):
key = "m0" + str(i)
ccdb.StoreMonthData(self.GetOldMonth(reftimestamp, i), atoi(hist['mths'][key]))
for i in range(10, 13):
key = "m" + str(i)
ccdb.StoreMonthData(self.GetOldMonth(reftimestamp, i), atoi(hist['mths'][key]))
# days
for i in range(1, 10):
key = "d0" + str(i)
ccdb.StoreDayData(self.GetOldDay(reftimestamp, i), atoi(hist['days'][key]))
for i in range(10, 32):
key = "d" + str(i)
ccdb.StoreDayData(self.GetOldDay(reftimestamp, i), atoi(hist['days'][key]))
# hours
for i in range(2, 9, 2):
key = "h0" + str(i)
ccdb.StoreHourData(self.GetOldHour(reftimestamp, i - 2), atof(hist['hrs'][key]))
for i in range(10, 27, 2):
key = "h" + str(i)
ccdb.StoreHourData(self.GetOldHour(reftimestamp, i - 2), atof(hist['hrs'][key]))
trc.FunctionExit("storeTimedCurrentCostDatav2")
def __init__(self,iptFile,ctFile,truncTime):
# Read epidemic and truncate to truncTime
self.infectives = []
self.labels = []
epiFile = open(iptFile,'r')
for line in epiFile:
toks = line.split()
label = atoi(toks[0])
I = atof(toks[1])
N = atof(toks[2])
R = atof(toks[3])
if N <= truncTime: # Take individuals who have been notified by truncTime
if R > truncTime: # If R > truncTime, set R = truncTime
R = truncTime
self.infectives.append(Infective(label,I,N,R))
self.labels.append(label)
epiFile.close()
# Read in XML
conFile = Uri.OsPathToUri(ctFile)
xmlSrc = DefaultFactory.fromUri(conFile,stripElements=[(EMPTY_NAMESPACE,'*',1)])
self.doc = NonvalidatingReader.parse(xmlSrc)
# Remove from the contact DOM any contact info
# for individuals that are not present in labels
self.labels = set(self.labels)
for contact in self.doc.documentElement.xpath(u'tc:contact',explicitNss={u'tc':u'tracedcontacts'}):
contactLabel = atoi(contact.getAttributeNS(None,u'id'))
if contactLabel not in self.labels:
self.doc.documentElement.removeChild(contact)
def CompareRates(opath, level, varname, input_rates, index_html, ratetype=""):
if options.latex:
ofile = open(
opath + 'compare_' + ratetype + varname + '_' + level + '.tex',
'w')
else:
ofile = open(
opath + 'compare_' + ratetype + varname + '_' + level + '.html',
'w')
table = ResultTable()
if options.do_plots:
hname_frac = ratetype + varname + '_fraction_' + level
hist_frac = GetHist(hname_frac, varname, 'frac')
hname_sfrac = ratetype + varname + '_sigma_fraction_' + level
hist_sfrac = GetHist(hname_sfrac, varname, 'sigma_frac')
canv_frac = GetCanvas(hname_frac, hname_frac)
#canv_sfrac = GetCanvas(hname_sfrac, hname_sfrac)
hname_chfrac = ratetype + varname + '_chain_fraction_' + level
hist_chfrac = GetHist(hname_chfrac, varname, 'chain_frac')
canv_chfrac = GetCanvas(hname_chfrac, hname_chfrac, 5000, 2500)
chfrac_maxchains = 0
column_labels = []
if options.labels != '':
column_labels = options.labels.split(',')
else:
for i in xrange(0, len(input_rates)):
column_labels.append(str(i))
if len(column_labels) != len(input_rates):
print "Number of column labels must be equal to the number of inputs"
for i in xrange(0, len(input_rates)):
column_labels.append(str(i))
# Write headers
counter = -1
table.add_header('Chain')
table.add_column_type('chain_name')
table.add_display(True)
for result in input_rates:
counter += 1
label1 = column_labels[counter]
table.add_header(label1)
table.add_column_type('rate')
table.add_display(True)
table.add_header('%s_PS' % label1)
table.add_column_type('rate_ps')
table.add_display((options.show_pspt or options.show_ps))
table.add_header('%s_PT' % label1)
table.add_column_type('rate_pt')
table.add_display(options.show_pspt)
if options.ratio_columns != '':
for col in options.ratio_columns.split(','):
label_denom = column_labels[int(col) - 1]
counter = 0 # counts the results
for rate in input_rates:
counter += 1
label_num = column_labels[counter - 1]
if counter == int(col): # Don't make raio with self
continue
table.add_header('%s/%s' % (label_num, label_denom))
table.add_column_type('rate_ratio')
table.add_display(True)
table.add_header('%s-%s' % (label_num, label_denom))
table.add_column_type('rate_diff')
table.add_display(options.show_diff)
table.add_header('rate_isZero')
table.add_column_type('rate_isZero')
table.add_display(False)
# Loop over all results and get a complete list of triggers
all_chains = set()
for result in input_rates:
#for chain in result.GetChainNames(level) :
# all_chains.add(chain)
for ch in result.GetChains(level):
if string.count(ratetype, "Groups"):
if string.count(ch.GetName(), "str"):
pass
#print "STREAM",ch.GetName(),ch.IsGroup()
if ch.IsGroup():
if options.regex != '':
if re.match(options.regex, ch.GetName()):
all_chains.add(ch.GetName())
else:
all_chains.add(ch.GetName())
else:
if not ch.IsGroup():
if options.regex != '':
if re.match(options.regex, ch.GetName()):
all_chains.add(ch.GetName())
else:
all_chains.add(ch.GetName())
rateTable = []
# Write values
for chain in all_chains:
# Check for PS of 0 and -1
# Check ALL input rates for this condition
skip_chain = False
if options.hide_zero_PS:
rate_counter = 0
skip_counter = 0
thischain = result.GetChain(chain)
for result in input_rates:
rate_counter += 1
var = getattr(thischain, "prescale")
if var == None:
var = getattr(thischain, "chain_prescale")
if var == 0:
skip_counter += 1
if var < 0:
skip_counter += 1
if skip_counter == rate_counter:
skip_chain = True
if skip_chain:
continue
table.add_entry('Chain', chain)
counter = -1
isZero = False
if varname == 'rate':
# Set isZero to true now. Set it to false if at least one of the inputs has a non zero rate
isZero = True
for result in input_rates:
counter += 1
if chain not in result.GetChainNames(level):
nblanks = 1
table.add_entry('%s_PS' % column_labels[counter], 0)
table.add_entry('%s_PT' % column_labels[counter], 0)
for i in xrange(0, nblanks):
table.add_entry(column_labels[counter + i], " ")
continue
thischain = result.GetChain(chain)
Var = getattr(thischain, varname)
# Check for zero rate
if varname == 'rate':
if Var > 0:
isZero = False
Err = 0
if varname == 'rate':
Err = getattr(thischain, varname + "err")
if options.use_mhz:
Var *= 1000
Err *= 1000
scale_factor = 1
if options.scale != '':
scales = options.scale.split(',')
scale_counter = -1
for scale in scales:
scale_counter += 1
if counter == scale_counter:
scale_factor = string.atof(scale)
if varname == "rate":
Var = Var * scale_factor
Err = Err * scale_factor
if options.hlt_rej and level != 'L1':
try:
# Ignoring error on lower chain (probably smaller and correlated)
lower_chain = thischain.GetLowerChain()
if not result.HasChain(lower_chain):
raise TrigCostAnalysis.VarNotAvailable(
"Empty lower chain for " + chain)
Var_lower = result.GetChain(lower_chain).GetAttrWithCheck(
varname)
if Var_lower > 0:
Var /= Var_lower
Err /= Var_lower
else:
Var = 0
Err = 0
if Var > 0:
print "Zero lower chain (1)?! ", chain, lower_chain, Var, Var_lower
except TrigCostAnalysis.VarNotAvailable, e:
Var = 0
Err = 0
print "Missing lower chain for ", chain
ps = thischain.GetPrescale()
pt = thischain.GetAttrWithDefault("passthrough", -1)
if level != 'L1' and result.source != 'XML_prediction':
lowerchain = thischain.GetAttrWithDefault("lowerchain", "none")
if lowerchain != 'none':
if result.HasChain(lowerchain):
lchain = result.GetChain(thischain.lowerchain)
ps *= lchain.prescale
if level == 'EF':
if result.HasChain(lchain.lowerchain):
llchain = result.GetChain(lchain.lowerchain)
ps *= llchain.prescale
table.add_entry('%s_PS' % column_labels[counter], '%.2f' % ps)
table.add_entry('%s_PT' % column_labels[counter], '%.2f' % pt)
if options.show_err:
table.add_entry(column_labels[counter],
'%6.2f +- %6.2f' % (Var, Err))
else:
table.add_entry(column_labels[counter], '%6.2f' % Var)
# Write ratios and differences
if options.ratio_columns != '':
for col in options.ratio_columns.split(','):
counter = 0 # counts the results
ratio_rate = input_rates[int(col) - 1]
label_denom = column_labels[int(col) - 1]
for rate in input_rates:
counter += 1
label_num = column_labels[counter - 1]
if counter == int(col): # Don't make raio with self
continue
# Get labels
if chain not in ratio_rate.GetChainNames(level) \
or chain not in rate.GetChainNames(level) :
nblanks = 1
for i in xrange(0, nblanks):
table.add_entry('%s/%s' % (label_num, label_denom),
" ")
table.add_entry('%s-%s' % (label_num, label_denom),
" ")
continue
Var1 = rate.GetChain(chain).GetAttrWithCheck(varname)
Var2 = ratio_rate.GetChain(chain).GetAttrWithCheck(varname)
Err1 = 0
Err2 = 0
if varname == 'rate':
Err1 = rate.GetChain(chain).GetAttrWithCheck(varname +
"err")
Err2 = ratio_rate.GetChain(chain).GetAttrWithCheck(
varname + "err")
scale_factor_1 = 1
scale_factor_2 = 1
if options.scale != '':
scales = options.scale.split(',')
scale_counter = -1
for scale in scales:
scale_counter += 1
if int(col) == scale_counter:
scale_factor_1 = string.atof(scale)
if counter == scale_counter:
scale_factor_2 = string.atof(scale)
if options.apply_PS:
if rate.GetChain(chain).GetAttrWithCheck(
"prescale") > 0:
scale_factor_1 = scale_factor_1 / rate.GetChain(
chain).GetAttrWithCheck("prescale")
if ratio_rate.GetChain(chain).GetAttrWithCheck(
"prescale") > 0:
scale_factor_2 = scale_factor_2 / ratio_rate.GetChain(
chain).GetAttrWithCheck("prescale")
if options.hlt_rej and level != 'L1':
# Ignoring error on lower chain (probably smaller and correlated)
try:
lower_chain1 = rate.GetChain(chain).GetLowerChain()
if not result.HasChain(lower_chain1):
raise TrigCostAnalysis.VarNotAvailable(
"Empty lower chain for " + chain)
Var1_lower = rate.GetChain(
lower_chain).GetAttrWithCheck(varname)
lower_chain2 = ratio_rate.GetChain(
chain).GetLowerChain()
if not result.HasChain(lower_chain2):
raise TrigCostAnalysis.VarNotAvailable(
"Empty lower chain for " + chain)
Var2_lower = ratio_rate.GetChain(
lower_chain2).GetAttrWithCheck(varname)
if Var1_lower > 0 and Var2_lower > 0:
Var1 /= Var1_lower
Err1 /= Var1_lower
Var2 /= Var2_lower
Err2 /= Var2_lower
else:
Var1 = 0
Var2 = 0
Err1 = 0
Err2 = 0
if Var1_lower > 0 and Var1 > 0:
print "Zero lower chain (2)?! ", chain, Var1, Var1_lower
if Var2_lower > 0 and Var2 > 0:
print "Zero lower chain (3)?! ", chain, Var2, Var2_lower
except TrigCostAnalysis.VarNotAvailable, e:
pass
if varname == "rate":
Var1 = Var1 * scale_factor_1
Err1 = Err1 * scale_factor_1
Var2 = Var2 * scale_factor_2
Err2 = Err2 * scale_factor_2
diff = Var1 - Var2
ratio = 0.0
if Var2 != 0.0:
ratio = Var1 / Var2
ratio_err = 0.0
if Var1 != 0.0 and Var2 != 0.0:
ratio_err = ratio * math.sqrt((Err1 / Var1) *
(Err1 / Var1) +
(Err2 / Var2) *
(Err2 / Var2))
ratio_diff = 0.0
if Err1 != 0.0:
ratio_diff = (Var1 - Var2) / Err1
if options.do_plots and Var1 != 0.0 and Var2 != 0.0:
if hist_frac != None:
hist_frac.Fill(ratio)
if hist_sfrac != None:
hist_sfrac.Fill(ratio_diff)
if hist_chfrac != None:
chfrac_maxchains += 2
hist_chfrac.SetBinContent(chfrac_maxchains, ratio)
hist_chfrac.SetBinError(chfrac_maxchains,
ratio_err)
hist_chfrac.GetXaxis().SetBinLabel(
chfrac_maxchains, chain)
# print "%d %s"% (chfrac_maxchains,chain)
if options.show_err:
table.add_entry('%s/%s' % (label_num, label_denom),
'%6.2f +- %6.2f' % (ratio, ratio_err))
else:
table.add_entry('%s/%s' % (label_num, label_denom),
'%6.2f' % ratio)
table.add_entry('%s-%s' % (label_num, label_denom),
'%6.2f' % diff)
def make_point(column, mb_inball, tg_inball, mb_inball_hr, tg_inball_hr,
match_type, match_showtype, rgg, dxgg, match_nowscore):
print mb_inball
print tg_inball
print mb_inball_hr
print tg_inball_hr
if (mb_inball.isdigit() or mb_inball == '-1'):
mb_inball = int(mb_inball)
if (tg_inball.isdigit() or tg_inball == '-1'):
tg_inball = int(tg_inball)
if (mb_inball_hr.isdigit() or mb_inball_hr == '-1'):
mb_inball_hr = int(mb_inball_hr)
if (tg_inball_hr.isdigit() or tg_inball_hr == '-1'):
tg_inball_hr = int(tg_inball_hr)
if (mb_inball < 0):
#全场取消
return {
"column": column,
"ben_add": 0,
"status": 3,
"mb_inball": str(mb_inball),
"tg_inball": str(tg_inball)
}
elif (mb_inball == "" and mb_inball_hr < 0):
#半场取消
return {
"column": column,
"ben_add": 0,
"status": 3,
"mb_inball": str(mb_inball_hr),
"tg_inball": str(tg_inball_hr)
}
elif (mb_inball == "" and mb_inball_hr == ""):
return {
"column": column,
"ben_add": 0,
"status": 3,
"mb_inball": str(mb_inball_hr),
"tg_inball": str(tg_inball_hr)
}
ben_add = 0
status = 2 #默认为输
print column
if (column == 'match_bzm'): #标准盘独赢 --标配的主场赢
if (mb_inball > tg_inball):
status = 1
elif (column == 'match_bzg'): #--标配的客场赢
if (mb_inball < tg_inball):
status = 1
elif (column == 'match_bzh'): ##--标配的和局
if (mb_inball == tg_inball):
status = 1
elif (column == 'match_ho'): #主让球盘
m = rgg.split('/') #让球
ben_add = 1
temp = 0
if (len(m) == 2):
for k in m:
k = string.atof(k)
if (match_showtype.lower() == 'h'):
#??
mb_temp = mb_inball
tg_temp = tg_inball + k
else:
mb_temp = mb_inball + k
tg_temp = tg_inball
if (match_type == 2 and not match_nowscore == 'unneed'):
# 如果是滚球,减去下注比分
n = match_nowscore.split(':')
n[0] = string.atof(n[0])
n[1] = string.atof(n[1])
mb_temp -= n[0]
tg_temp -= n[1]
if (mb_temp > tg_temp):
temp += 1
elif (mb_temp == tg_temp):
temp += 0.5
else:
temp += 0
if (temp == 0.5):
status = 5
elif (temp == 1.5):
status = 4
elif (temp == 2):
status = 1
elif (temp == 0):
status = 2
else:
rgg = string.atof(rgg)
if (match_showtype.lower() == 'h'):
mb_temp = mb_inball
tg_temp = tg_inball + rgg
else:
mb_temp = mb_inball + rgg
tg_temp = tg_inball
if (match_type == 2 and not match_nowscore == 'unneed'):
# 如果是滚球,减去下注比分
n = match_nowscore.split(':')
n[0] = string.atof(n[0])
n[1] = string.atof(n[1])
mb_temp -= n[0]
tg_temp -= n[1]
if (mb_temp > tg_temp):
status = 1
elif (mb_temp == tg_temp):
status = 8
else:
status = 2
elif (column == 'match_ao'): #让球盘
m = rgg.split('/')
ben_add = 1
temp = 0
if (len(m) == 2):
for k in m:
k = string.atof(k)
if (match_showtype.lower() == 'h'):
mb_temp = mb_inball
tg_temp = tg_inball + k
else:
mb_temp = mb_inball + k
tg_temp = tg_inball
if (match_type == 2 and not match_nowscore == 'unneed'):
# 如果是滚球,减去下注比分
n = match_nowscore.split(':')
n[0] = string.atof(n[0])
n[1] = string.atof(n[1])
mb_temp -= n[0]
tg_temp -= n[1]
if (mb_temp < tg_temp):
temp += 1
elif (mb_temp == tg_temp):
temp += 0.5
else:
temp += 0
if (temp == 0.5):
status = 5
elif (temp == 1.5):
status = 4
elif (temp == 2):
status = 1
elif (temp == 0):
status = 2
else:
rgg = string.atof(rgg)
if (match_showtype.lower() == 'h'):
mb_temp = mb_inball
tg_temp = tg_inball + rgg
else:
mb_temp = mb_inball + rgg
tg_temp = tg_inball
if (match_type == 2 and not match_nowscore == 'unneed'):
# 如果是滚球,减去下注比分
n = match_nowscore.split(':')
n[0] = string.atof(n[0])
n[1] = string.atof(n[1])
mb_temp -= n[0]
tg_temp -= n[1]
if (mb_temp < tg_temp):
status = 1
elif (mb_temp == tg_temp):
status = 8
else:
status = 2
#---------------------------大小,单双竞彩
elif (column == 'match_dxdpl'): #大小盘
m = dxgg.split('/')
ben_add = 1
total = mb_inball + tg_inball
temp = 0
if (len(m) == 2):
for t in m:
t = string.atof(t)
if (total > t):
temp += 1
elif (total == t):
temp += 0.5
if (temp == 0.5):
status = 5
elif (temp == 1.5):
status = 4
elif (temp == 2):
status = 1
elif (temp == 0):
status = 2
else:
dxgg = string.atof(dxgg)
if (total > dxgg):
status = 1
elif (total == dxgg):
status = 8
else:
status = 2
elif (column == 'match_dxxpl'): #大小盘
m = dxgg.split('/')
ben_add = 1
total = mb_inball + tg_inball
print mb_inball
print tg_inball
temp = 0
if (len(m) == 2):
for t in m:
t = string.atof(t)
if (total < t):
temp += 1
elif (total == t):
temp += 0.5
if (temp == 0.5):
status = 5
elif (temp == 1.5):
status = 4
elif (temp == 2):
status = 1
elif (temp == 0):
status = 2
else:
dxgg = string.atof(dxgg)
if (total < dxgg):
status = 1
elif (total == dxgg):
status = 8
else:
status = 2
elif (column == 'match_dsdpl'):
if ((mb_inball + tg_inball) % 2 == 1):
status = 1
elif (column == 'match_dsspl'):
if ((mb_inball + tg_inball) % 2 == 0):
status = 1
#--------------------------------------主场赢
elif (column == 'match_bmdy'): #上半场独赢
if (mb_inball_hr > tg_inball_hr):
status = 1
mb_inball = mb_inball_hr
tg_inball = tg_inball_hr
elif (column == 'match_bgdy'):
if (mb_inball_hr < tg_inball_hr):
status = 1
mb_inball = mb_inball_hr
tg_inball = tg_inball_hr
elif (column == 'match_bhdy'):
if (mb_inball_hr == tg_inball_hr):
status = 1
mb_inball = mb_inball_hr
tg_inball = tg_inball_hr
#-------------------------------------
elif (column == 'match_bho'):
m = rgg.split('/')
ben_add = 1
temp = 0
if (len(m) == 2):
for k in m:
k = string.atof(k)
if (match_showtype.lower() == 'h'):
mb_temp = mb_inball_hr
tg_temp = tg_inball_hr + k
else:
mb_temp = mb_inball_hr + k
tg_temp = tg_inball_hr
if (match_type == 2 and not match_nowscore == 'unneed'):
# 如果是滚球,减去下注比分
n = match_nowscore.split(':')
n[0] = string.atof(n[0])
n[1] = string.atof(n[1])
mb_temp -= n[0]
tg_temp -= n[1]
if (mb_temp > tg_temp):
temp += 1
elif (mb_temp == tg_temp):
temp += 0.5
if (temp == 0.5):
status = 5
elif (temp == 1.5):
status = 4
elif (temp == 2):
status = 1
elif (temp == 0):
status = 2
else:
rgg = string.atof(rgg)
if (match_showtype.lower() == 'h'):
mb_temp = mb_inball_hr
tg_temp = tg_inball_hr + rgg
else:
mb_temp = mb_inball_hr + rgg
tg_temp = tg_inball_hr
if (match_type == 2 and not match_nowscore == 'unneed'):
# 如果是滚球,减去下注比分
n = match_nowscore.split(':')
n[0] = string.atof(n[0])
n[1] = string.atof(n[1])
mb_temp -= n[0]
tg_temp -= n[1]
if (mb_temp > tg_temp):
status = 1
elif (mb_temp == tg_temp):
status = 8
else:
status = 2
mb_inball = mb_inball_hr
tg_inball = tg_inball_hr
elif (column == 'match_bao'):
m = rgg.split('/')
ben_add = 1
temp = 0
if (len(m) == 2):
for k in m:
k = string.atof(k)
if (match_showtype.lower() == 'h'):
mb_temp = mb_inball_hr
tg_temp = tg_inball_hr + k
else:
mb_temp = mb_inball_hr + k
tg_temp = tg_inball_hr
if (match_type == 2 and not match_nowscore == 'unneed'):
# 如果是滚球,减去下注比分
n = match_nowscore.split(':')
n[0] = string.atof(n[0])
n[1] = string.atof(n[1])
mb_temp -= int(n[0])
tg_temp -= int(n[1])
if (mb_temp < tg_temp):
temp += 1
elif (mb_temp == tg_temp):
temp += 0.5
else:
temp += 0
if (temp == 0.5):
status = 5
elif (temp == 1.5):
status = 4
elif (temp == 2):
status = 1
elif (temp == 0):
status = 2
else:
rgg = string.atof(rgg)
if (match_showtype.lower() == 'h'):
mb_temp = mb_inball_hr
tg_temp = tg_inball_hr + rgg
else:
mb_temp = mb_inball_hr + rgg
tg_temp = tg_inball_hr
if (match_type == 2 and not match_nowscore == 'unneed'):
# 如果是滚球,减去下注比分
n = match_nowscore.split(':')
n[0] = string.atof(n[0])
n[1] = string.atof(n[1])
mb_temp -= n[0]
tg_temp -= n[1]
if (mb_temp < tg_temp):
status = 1
elif (mb_temp == tg_temp):
status = 8
else:
status = 2
mb_inball = mb_inball_hr
tg_inball = tg_inball_hr
#------------------------------------------------
elif (column == 'match_bdpl'):
m = dxgg.split('/')
ben_add = 1
temp = 0
total = mb_inball_hr + tg_inball_hr
if (len(m) == 2):
for t in m:
t = string.atof(t)
if (total > t):
temp += 1
elif (total == t):
temp += 0.5
if (temp == 0.5):
status = 5
elif (temp == 1.5):
status = 4
elif (temp == 2):
status = 1
elif (temp == 0):
status = 2
else:
dxgg = string.atof(dxgg)
if (total > dxgg):
status = 1
elif (total == dxgg):
status = 8
else:
status = 2
mb_inball = mb_inball_hr
tg_inball = tg_inball_hr
elif (column == 'match_bxpl'):
m = dxgg.split('/')
ben_add = 1
total = mb_inball_hr + tg_inball_hr
temp = 0
if (len(m) == 2):
for t in m:
t = string.atof(t)
if (total < t):
temp += 1
elif (total == t):
temp += 0.5
else:
temp += 0
if (temp == 0.5):
status = 5
elif (temp == 1.5):
status = 4
elif (temp == 2):
status = 1
elif (temp == 0):
status = 2
else:
dxgg = string.atof(dxgg)
if (total < dxgg):
status = 1
elif (total == dxgg):
status = 8
else:
status = 2
mb_inball = mb_inball_hr
tg_inball = tg_inball_hr
#---------------------以下是波胆盘 波胆竞猜
elif (column == 'match_bd10'): #波胆
if ((mb_inball == 1) and (tg_inball == 0)):
status = 1
elif (column == 'match_bd20'): #波胆
if ((mb_inball == 2) and (tg_inball == 0)):
status = 1
elif (column == 'match_bd21'): #波胆
if ((mb_inball == 2) and (tg_inball == 1)):
status = 1
elif (column == 'match_bd30'): #波胆
if ((mb_inball == 3) and (tg_inball == 0)):
status = 1
elif (column == 'match_bd31'): #波胆
if ((mb_inball == 3) and (tg_inball == 1)):
status = 1
elif (column == 'match_bd32'): #波胆
if ((mb_inball == 3) and (tg_inball == 2)):
status = 1
elif (column == 'match_bd40'): #波胆
if ((mb_inball == 4) and (tg_inball == 0)):
status = 1
elif (column == 'match_bd41'): #波胆
if ((mb_inball == 4) and (tg_inball == 1)):
status = 1
elif (column == 'match_bd42'): #波胆
if ((mb_inball == 4) and (tg_inball == 2)):
status = 1
elif (column == 'match_bd43'): #波胆
if ((mb_inball == 4) and (tg_inball == 3)):
status = 1
elif (column == 'match_bd00'): #波胆
if ((mb_inball == 0) and (tg_inball == 0)):
status = 1
elif (column == 'match_bd11'): #波胆
if ((mb_inball == 1) and (tg_inball == 1)):
status = 1
elif (column == 'match_bd22'): #波胆
if ((mb_inball == 2) and (tg_inball == 2)):
status = 1
elif (column == 'match_bd33'): #波胆
if ((mb_inball == 3) and (tg_inball == 3)):
status = 1
elif (column == 'match_bd44'): #波胆
if ((mb_inball == 4) and (tg_inball == 4)):
status = 1
elif (column == 'match_bdup5'):
if ((mb_inball >= 5) or (tg_inball >= 5)):
status = 1
elif (column == 'match_bdg10'):
if ((mb_inball == 0) and (tg_inball == 1)):
status = 1
elif (column == 'match_bdg20'):
if ((mb_inball == 0) and (tg_inball == 2)):
status = 1
elif (column == 'match_bdg21'):
if ((mb_inball == 1) and (tg_inball == 2)):
status = 1
elif (column == 'match_bdg30'):
if ((mb_inball == 0) and (tg_inball == 3)):
status = 1
elif (column == 'match_bdg31'):
if ((mb_inball == 1) and (tg_inball == 3)):
status = 1
elif (column == 'match_bdg32'):
if ((mb_inball == 2) and (tg_inball == 3)):
status = 1
elif (column == 'match_bdg40'):
if ((mb_inball == 0) and (tg_inball == 4)):
status = 1
elif (column == 'match_bdg41'):
if ((mb_inball == 1) and (tg_inball == 4)):
status = 1
elif (column == 'match_bdg42'):
if ((mb_inball == 2) and (tg_inball == 4)):
status = 1
elif (column == 'match_bdg43'):
if ((mb_inball == 3) and (tg_inball == 4)):
status = 1
elif (column == 'match_hr_bd10'):
if ((mb_inball_hr == 1) and (tg_inball_hr == 0)):
status = 1
elif (column == 'match_hr_bd20'):
if ((mb_inball_hr == 2) and (tg_inball_hr == 0)):
status = 1
elif (column == 'match_hr_bd21'):
if ((mb_inball_hr == 2) and (tg_inball_hr == 1)):
status = 1
elif (column == 'match_hr_bd30'):
if ((mb_inball_hr == 3) and (tg_inball_hr == 0)):
status = 1
elif (column == 'match_hr_bd31'):
if ((mb_inball_hr == 3) and (tg_inball_hr == 1)):
status = 1
elif (column == 'match_hr_bd32'):
if ((mb_inball_hr == 3) and (tg_inball_hr == 2)):
status = 1
elif (column == 'match_hr_bd40'):
if ((mb_inball_hr == 4) and (tg_inball_hr == 0)):
status = 1
elif (column == 'match_hr_bd41'):
if ((mb_inball_hr == 4) and (tg_inball_hr == 1)):
status = 1
elif (column == 'match_hr_bd42'):
if ((mb_inball_hr == 4) and (tg_inball_hr == 2)):
status = 1
elif (column == 'match_hr_bd43'):
if ((mb_inball_hr == 4) and (tg_inball_hr == 3)):
status = 1
elif (column == 'match_hr_bd00'):
if ((mb_inball_hr == 0) and (tg_inball_hr == 0)):
status = 1
elif (column == 'match_hr_bd11'):
if ((mb_inball_hr == 1) and (tg_inball_hr == 1)):
status = 1
elif (column == 'match_hr_bd22'):
if ((mb_inball_hr == 2) and (tg_inball_hr == 2)):
status = 1
elif (column == 'match_hr_bd33'):
if ((mb_inball_hr == 3) and (tg_inball_hr == 3)):
status = 1
elif (column == 'match_hr_bd44'):
if ((mb_inball_hr == 4) and (tg_inball_hr == 4)):
status = 1
elif (column == 'match_hr_bdup5'):
if ((mb_inball_hr >= 5) or (tg_inball_hr >= 5)):
status = 1
elif (column == 'match_hr_bdg10'):
if ((mb_inball_hr == 0) and (tg_inball_hr == 1)):
status = 1
elif (column == 'match_hr_bdg20'):
if ((mb_inball_hr == 0) and (tg_inball_hr == 2)):
status = 1
elif (column == 'match_hr_bdg21'):
if ((mb_inball_hr == 1) and (tg_inball_hr == 2)):
status = 1
elif (column == 'match_hr_bdg30'):
if ((mb_inball_hr == 0) and (tg_inball_hr == 3)):
status = 1
elif (column == 'match_hr_bdg31'):
if ((mb_inball_hr == 1) and (tg_inball_hr == 3)):
status = 1
elif (column == 'match_hr_bdg32'):
if ((mb_inball_hr == 2) and (tg_inball_hr == 3)):
status = 1
elif (column == 'match_hr_bdg40'):
if ((mb_inball_hr == 0) and (tg_inball_hr == 4)):
status = 1
elif (column == 'match_hr_bdg41'):
if ((mb_inball_hr == 1) and (tg_inball_hr == 4)):
status = 1
elif (column == 'match_hr_bdg42'):
if ((mb_inball_hr == 2) and (tg_inball_hr == 4)):
status = 1
elif (column == 'match_hr_bdg43'):
if ((mb_inball_hr == 3) and (tg_inball_hr == 4)):
status = 1
#------------------入球数竞猜
elif (column == 'match_total01pl'):
total = mb_inball + tg_inball
if ((total >= 0) and (total <= 1)):
status = 1
elif (column == 'match_total23pl'):
total = mb_inball + tg_inball
if ((total >= 2) and (total <= 3)):
status = 1
elif (column == 'match_total46pl'):
total = mb_inball + tg_inball
if ((total >= 4) and (total <= 6)):
status = 1
elif (column == 'match_total7uppl'):
total = mb_inball + tg_inball
if ((total >= 7)):
status = 1
#------------------半全场竞猜和派彩
elif (column == 'match_bqmm'): #主/主
mb_inball = mb_inball.split('/')
tg_inball = tg_inball.split('/')
if ((mb_inball[1] > tg_inball[1]) and (mb_inball[0] > tg_inball[0])):
status = 1
mb_inball = int(mb_inball[1])
tg_inball = int(tg_inball[1])
elif (column == 'match_bqmh'): #主/和
mb_inball = mb_inball.split('/')
tg_inball = tg_inball.split('/')
if ((mb_inball[1] == tg_inball[1]) and (mb_inball[0] > tg_inball[0])):
status = 1
mb_inball = int(mb_inball[1])
tg_inball = int(tg_inball[1])
elif (column == 'match_bqmg'): #主/客
mb_inball = mb_inball.split('/')
tg_inball = tg_inball.split('/')
if ((mb_inball[1] < tg_inball[1]) and (mb_inball[0] > tg_inball[0])):
status = 1
mb_inball = int(mb_inball[1])
tg_inball = int(tg_inball[1])
elif (column == 'match_bqhm'): #和/主
mb_inball = mb_inball.split('/')
tg_inball = tg_inball.split('/')
if ((mb_inball[1] > tg_inball[1]) and (mb_inball[0] == tg_inball[0])):
status = 1
mb_inball = int(mb_inball[1])
tg_inball = int(tg_inball[1])
elif (column == 'match_bqhh'): #和/和
mb_inball = mb_inball.split('/')
tg_inball = tg_inball.split('/')
if ((mb_inball[1] == tg_inball[1]) and (mb_inball[0] == tg_inball[0])):
status = 1
mb_inball = int(mb_inball[1])
tg_inball = int(tg_inball[1])
elif (column == 'match_bqhg'): #和/客
mb_inball = mb_inball.split('/')
tg_inball = tg_inball.split('/')
if ((mb_inball[1] < tg_inball[1]) and (mb_inball[0] == tg_inball[0])):
status = 1
mb_inball = int(mb_inball[1])
tg_inball = int(tg_inball[1])
elif (column == 'match_bqgm'): #客/主
mb_inball = mb_inball.split('/')
tg_inball = tg_inball.split('/')
if ((mb_inball[1] > tg_inball[1]) and (mb_inball[0] < tg_inball[0])):
status = 1
mb_inball = int(mb_inball[1])
tg_inball = int(tg_inball[1])
elif (column == 'match_bqgh'): #客/和
mb_inball = mb_inball.split('/')
tg_inball = tg_inball.split('/')
if ((mb_inball[1] == tg_inball[1]) and (mb_inball[0] < tg_inball[0])):
status = 1
mb_inball = int(mb_inball[1])
tg_inball = int(tg_inball[1])
elif (column == 'match_bqgg'): #客/客
mb_inball = mb_inball.split('/')
tg_inball = tg_inball.split('/')
if ((mb_inball[1] < tg_inball[1]) and (mb_inball[0] < tg_inball[0])):
status = 1
mb_inball = int(mb_inball[1])
tg_inball = int(tg_inball[1])
date = {
"column": column,
"ben_add": ben_add,
"status": status,
"mb_inball": '%d' % mb_inball,
"tg_inball": '%d' % tg_inball
}
return date
#end of model
def main(argv):
qFaLen = LoadFaLen(argv[1])
figPrefix = 'test'
if len(argv) > 2: figPrefix = argv[2]
if argv[0][-3:] == '.gz':
I = os.popen('gzip -dc %s' % argv[0])
else:
I = open(argv[0])
data, distance, nr, aa, bb = [], {}, {}, {}, {}
s = set()
print '#Chr\tPosition\tDistance\tLeftIden\tRightIden\tAveIden\tN-Ratio\tAA'
while 1: # VCF format
lines = I.readlines(100000)
if not lines: break
for line in lines:
col = line.strip('\n').split()
if re.search(r'^#CHROM', line):
col2sam = {i + 9: sam for i, sam in enumerate(col[9:])}
if re.search(r'^#', line): continue
key = col[0] + ':' + col[1]
if key in s: continue
s.add(key)
#if re.search(r'^PASS', col[6] ) : continue
if not re.search(r'^PASS', col[6]): continue
#if not re.search(r'_TRAIN_SITE', col[7]) : continue
fmat = {k: i for i, k in enumerate(col[8].split(':'))}
if 'VS' not in fmat or 'QR' not in fmat: continue
annotations = []
for i, sample in enumerate(col[9:]):
sampleId = col2sam[9 + i]
if len(sample.split(':')[fmat['AA']].split(',')) != 4:
print >> sys.stderr, '[WARNING] %s\n%s' % (
line, sample.split(':')[fmat['AA']])
continue
qr = sample.split(':')[fmat['QR']].split(',')[-1]
if qr == '.': continue
qId, qSta, qEnd = qr.split('-')
qSta = string.atoi(qSta)
qEnd = string.atoi(qEnd)
if sampleId not in qFaLen:
raise ValueError(
'[ERROR] The sample name $s(in vcf) is not in the name of Fa list.'
% sampleId)
if qId not in qFaLen[sampleId]:
raise ValueError('[ERROR]', qId,
'is not been found in file', opt.qFalen,
'\n')
qSta = int(qSta * 100 / qFaLen[sampleId][qId] + 0.5)
qEnd = int(qEnd * 100 / qFaLen[sampleId][qId] + 0.5)
if qSta > 100 or qEnd > 100:
raise ValueError(
'[ERROR] Query size Overflow! sample : %s; scaffold : %s'
% (sampleId, qId))
leg = qSta
if 100 - qEnd < qSta: leg = qEnd
nn = string.atof(sample.split(':')[fmat['FN']])
n = int(1000 * nn + 0.5) / 10.0
alt = string.atoi(sample.split(':')[fmat['AA']].split(',')
[1]) # Alternate perfect
bot = string.atoi(sample.split(':')[fmat['AA']].split(',')
[3]) # Both imperfect
pro = string.atoi(
sample.split(':')[fmat['RP']].split(',')[0]) # Proper Pair
ipr = string.atoi(sample.split(':')[fmat['RP']].split(',')
[1]) # ImProper Pair
annotations.append([leg, n, alt, bot, pro, ipr])
leg, n, alt, bot, pro, ipr = np.median(annotations, axis=0)
if leg not in distance: distance[leg] = [0, 0]
if n not in nr: nr[n] = [0, 0]
if alt not in aa: aa[alt] = [0, 0]
if bot not in bb: bb[bot] = [0, 0]
distance[leg][0] += 1
nr[n][0] += 1
aa[alt][0] += 1
bb[bot][0] += 1
data.append([leg, alt, pro, ipr, n, bot])
I.close()
data = np.array(data)
print >> sys.stderr, '\nPosition\tALTernatePerfect\tLeftIdentity\tRightIdentity\tAveIden\tNRatio\tBothImperfect'
print >> sys.stderr, 'Means: ', data.mean(axis=0), '\nstd : ', data.std(
axis=0), '\nMedian: ', np.median(data, axis=0)
print >> sys.stderr, '25 Percentile:', np.percentile(
data, 25, axis=0), '\n50 Percentile:', np.percentile(
data, 50, axis=0), '\n75 Percentile:', np.percentile(data,
75,
axis=0)
DrawFig( figPrefix, \
np.array (Accum( distance )), \
np.array (Accum( nr, True )), \
np.array (Accum( aa )), \
np.array (Accum( bb )) )
time = 0
while (1):
if C * (F + S) > X * F:
time += X / S
print 'Case #%r: %.7f' % (count, time)
return
else:
time += C / S
S += F
def parseline(line):
return line.rstrip().split(' ')
if __name__ == "__main__":
if len(sys.argv) == 1:
fin = open('input.txt')
else:
fin = open(sys.argv[1])
count = string.atoi(fin.readline().rstrip())
count = 1
for line in fin:
data = parseline(line)
C = string.atof(data[0])
F = string.atof(data[1])
X = string.atof(data[2])
calTime(C, F, X, count)
count += 1
def handleSamplingParams(self, params):
import string
return list(params[:3]) + [string.atof(str(s)) for s in params[3:]]
i = 0
a = []
b = []
c = []
d = []
while True:
line = file1.readline()
if not line:
break
list = line.split()
if len(list) > 0:
if i % 4 == 0:
a.append(string.atof(list[5]))
elif i % 4 == 1:
b.append(string.atof(list[5]))
elif i % 4 == 2:
c.append(string.atof(list[5]))
else:
d.append(string.atof(list[5]))
i += 1
outfile = open(name + ".dat", 'w')
i = 0
#
# Compare the demo tixwidgets.py to the original Tcl program and you will
# appreciate the advantages.
#
import string
from Tkinter import *
from Tkinter import _flatten, _cnfmerge, _default_root
# WARNING - TkVersion is a limited precision floating point number
if TkVersion < 3.999:
raise ImportError, "This version of Tix.py requires Tk 4.0 or higher"
import _tkinter # If this fails your Python may not be configured for Tk
TixVersion = string.atof(
tkinter.TIX_VERSION
) # If this fails your Python may not be configured for Tix
# WARNING - TixVersion is a limited precision floating point number
# Some more constants (for consistency with Tkinter)
WINDOW = 'window'
TEXT = 'text'
IMAGETEXT = 'imagetext'
# BEWARE - this is implemented by copying some code from the Widget class
# in Tkinter (to override Widget initialization) and is therefore
# liable to break.
class TixWidget(Widget):
"""A TixWidget class is used to package all (or most) Tix widgets.
def apply(self):
DD['legX'] = string.atof(self.labels[0].get())
DD['legY'] = string.atof(self.labels[1].get())
replot()
def Read(filename,
asFloat=1,
savespace=1,
doByteSwap=1,
compliant=1,
allHDU=1,
HDU=None,
memmap=None):
"""if savespace is set, the array will maintain its type if asfloat is set.
If doByteSwap is not set, no byteswap will be done if little endian - if this is the case, the file is not actually fits compliant
if memmap is used, the file is memmapped rather than read. If this is used, it is recommended that memmap="r" and that the file is non-byte-swapped.
If allHDU==0 then will only read the current HDU.
"""
if type(filename) == type(""):
flist = glob.glob(os.path.expanduser(filename))
if len(flist) == 0:
raise Exception("No files found to load")
else:
filename = flist[0]
if len(flist) > 1:
print "Ignoring %s" % str(flist[1:])
print "Loading %s" % flist[0]
file = open(filename, "rb")
filelen = os.path.getsize(filename)
else:
file = filename
filename = str(filename)
cur = file.tell()
file.seek(0, 2) #go to end of file
filelen = file.tell()
file.seek(cur, 0)
done = 0
returnVal = []
hduno = 0
while done == 0:
rawHeader = []
header = {}
buffer = file.read(2880)
if buffer[:6] != 'SIMPLE' and buffer[:8] != "XTENSION":
if compliant:
print "Warning - non compliant FITS file - error reading the %dth HDU - this should start with SIMPLE or XTENSION, but starts with:" % (
len(returnVal) / 2 + 1)
print buffer[:80]
raise Exception(error +
'Not a simple fits file: %s' % filename)
else:
print "WARNING - non compliant FITS file for %dth HDU" % (
len(returnVal) / 2 + 1)
return returnVal
while (1):
for char in range(0, 2880, 80):
line = buffer[char:char + 80]
rawHeader.append(line)
key = string.strip(line[:8]).strip("\0")
if key:
val = line[9:]
val = string.strip(val).strip("\0")
if val:
if val[0] == "'":
try:
pos = string.index(val, "'", 1)
val = val[1:pos]
except:
val = val[1:]
else:
pos = string.find(val, '/')
if pos != -1:
val = val[:pos]
if header.has_key(key):
header[key] += val
else:
header[key] = val
if header.has_key('END'): break
buffer = file.read(2880)
naxis = string.atoi(header['NAXIS'])
shape = []
for i in range(1, naxis + 1):
shape.append(string.atoi(header['NAXIS%d' % i]))
shape.reverse()
if len(shape) > 0:
numPix = 1
for i in shape:
numPix = numPix * i
else:
numPix = 0
bitpix = string.atoi(header['BITPIX'])
if bitpix == 8:
typ = numpy.uint8
elif bitpix == 16:
typ = numpy.int16
elif bitpix == 32:
typ = numpy.int32
elif bitpix == -32:
typ = numpy.float32
bitpix = 32
elif bitpix == -64:
typ = numpy.float64
bitpix = 64
elif bitpix == -16:
typ = numpy.uint16
bitpix = 16
elif bitpix == -8:
typ = numpy.uint8
bitpix = 8
elif bitpix == 64:
typ = numpy.int64
bitpix = 64
else:
print("Unknown BITPIX: %d" % bitpix)
numByte = numPix * bitpix / 8
if HDU is None or hduno == HDU:
if memmap is None:
data = numpy.fromfile(file, typ, count=numPix)
else:
nel = reduce(lambda x, y: x * y, shape)
data = numpy.memmap(filename,
dtype=typ,
mode=memmap,
offset=file.tell())[:nel]
file.seek(bitpix / 8 * nel, 1)
else:
file.seek(int((numByte + 2880 - 1) // 2880) * 2880, 1)
data = None
#data = file.read(numByte)
#data = numpy.fromstring(data, dtype=typ)
#data.savespace(1)
if data is not None:
if len(shape) > 0:
data.shape = shape
if numpy.little_endian and doByteSwap:
if header.has_key("UNORDERD") and header["UNORDERD"] == 'T':
pass
else:
data.byteswap(True)
if asFloat:
bscale = string.atof(header.get('BSCALE', '1.0'))
bzero = string.atof(header.get('BZERO', '0.0'))
if savespace:
if bscale != 1:
data *= bscale #array(bscale,typecode=typ)
if bzero != 0:
data += bzero #array(bzero,typecode=typ)
else:
data = data * bscale + bzero
returnVal.append({'raw': rawHeader, 'parsed': header})
returnVal.append(data)
ntoread = 2880 - numByte % 2880
if ntoread != 0 and ntoread != 2880:
file.read(ntoread)
#print "Read 1 hdu at %d/%d"%(file.tell(),filelen)
if file.tell() == filelen or (allHDU == 0 and data is not None):
done = 1
hduno += 1
return returnVal #( { 'raw' : rawHeader, 'parsed' : header}, data )
def parseFValue(self, d):
val = string.split(d, ',')
ret = ''
for val in val:
ret = ret + val
return string.atof(ret)
kraken_fp = open(kraken_output_M_S_path)
kraken_fp_start = kraken_fp.tell()
blast_fp = open(kraken_output_M_S_blastout_path)
out_fp = open(output_path, 'w')
blast_reads_taxid_dic = {}
best_eval_dic = {}
while True:
line = blast_fp.readline()
if not line:
break
linesplit = line.split('\t')
taxon_id = linesplit[3]
read_id = linesplit[0]
e_value = linesplit[13].strip()
e_value = string.atof(e_value)
if blast_reads_taxid_dic.has_key(read_id):
best_eval = best_eval_dic[read_id]
if e_value <= best_eval:
blast_reads_taxid_dic[read_id].append(taxon_id)
else:
blast_reads_taxid_dic[read_id] = [taxon_id]
best_eval_dic[read_id] = e_value
while True:
line = kraken_fp.readline()
if not line:
break
linesplit = line.split('\t')
read_id = linesplit[1]
taxon_id = linesplit[2]
file = open('4.out')
file2 = open('4.outdoor', 'w')
import string
while True:
line = file.readline()
if not line:
break
list = line.split()
newline = list[0] + ' ' + str(string.atof(list[5]) * 1000) + '\n'
file2.write(newline)
def getLastSolutionFromWekaTopKAllOne(rRate,inputFile,outputFile,K,buysRate,MINCLICK):
file_out = open(outputFile+"-"+str(K)+"-"+str(buysRate)+"-"+str(MINCLICK)+".dat",'w')
file_read = open(inputFile)
sessionIds = getTestSessionIds('D:\Data\\feature\\yoochoose-test-sessionId.dat')
buysFrequentness = getBuysFrequentness('D:\Data\yoochoose-buys-analyse-sorted.dat')
start = -1
recieveRate = rRate
buys = {}
for line in file_read:
if line.find("inst#")!=-1:
start = 0
continue
if start == -1:
continue
if len(line)>5:
data = (line.split(":")[2]).split(" ")
answer = data[0]
rate = string.atof(data[1])
if answer=="yes" and rate > recieveRate:
buys[sessionIds[start]] = 1
start +=1
file_click = open('D:\Data\yoochoose-test.dat')
sessionId = "-1"
itemId = "-1"
clickInfo = {}
oneClickBuysRate = getDicFromFile('D:\Data\yoochoose-buysRate-oneClick.dat')
eachNumber = 0
oneNumberBuy = 0
oneNumberAll = 0
items = []
for line in file_click:
data = line.split(",")
if data[0]!=sessionId:
if sessionId != "-1":
if eachNumber==1:
oneNumberAll+=1
if oneClickBuysRate.has_key(itemId) and oneClickBuysRate[itemId]>buysRate:
buys[sessionId] = 1
#if buysFrequentness.has_key(itemId) and buysFrequentness[itemId]>10:
# buys[sessionId] = 1
if buys.has_key(sessionId):
if eachNumber==1:
oneNumberBuy+=1
outString = sessionId+";";
clickInfo = sorted(clickInfo.iteritems(),key=lambda s:s[1],reverse=True)
choosedNumber = 0
if eachNumber==1:
outString+=clickInfo_[0][0]
else:
for clickInfo_ in clickInfo:
if clickInfo_[1]>1 and buysFrequentness.has_key(clickInfo_[0]) and buysFrequentness[clickInfo_[0]] > MINCLICK:
if choosedNumber==0:
outString+=clickInfo_[0]
else:
outString+=","+clickInfo_[0]
choosedNumber +=1
if choosedNumber==K:
break
if outString!=(sessionId+";") :
file_out.write(outString+"\n")
clickInfo = {}
eachNumber = 0
if clickInfo.has_key(data[2]):
clickInfo[data[2]]+=1
else:
clickInfo[data[2]] = 1
sessionId = data[0]
itemId = data[2]
eachNumber += 1
print [oneNumberBuy,oneNumberAll,1.0*oneNumberBuy/oneNumberAll] #[5, 314545, 1.589597672829007e-05]
file_out.close()
def ReadXmlFile(filename):
def GetData(nodelist, name):
for val in nodelist:
if val.nodeName != name:
continue
svalue = ''
icount = int(0)
for s in val.childNodes:
icount = icount + 1
svalue = s.data
if icount == 1:
return svalue
else:
raise Exception('Wrong child list')
raise Exception('Failed to find data')
# create and initialize parser
myf = open(filename)
dom = xml.dom.minidom.parse(myf)
trig_map = dict()
group_list = dict()
for top in dom.getElementsByTagName('trigger'):
#Get triggers, store info
for lev in top.getElementsByTagName('level'):
for trsig in lev.getElementsByTagName('signature'):
tr = Trigger()
tr.name = GetData(trsig.childNodes, 'sig_name')
tr.rate = GetData(trsig.childNodes, 'rate')
tr.rerr = GetData(trsig.childNodes, 'rate_err')
tr.PS = GetData(trsig.childNodes, 'prescale')
trig_map[tr.name] = tr
#Get groups
for sig in top.getElementsByTagName('cplx_signature'):
if GetData(sig.childNodes, 'type') == 'Group':
gr = group()
gr.name = GetData(sig.childNodes, 'sig_name')
gr.rate = string.atof(GetData(sig.childNodes, 'rate'))
group_list[gr.name] = gr
#Now get cumulative rates
for sig in top.getElementsByTagName('cplx_signature'):
if GetData(sig.childNodes, 'type').find('Cumulative') != -1:
cumu_name = GetData(sig.childNodes, 'sig_name')
group_name = cumu_name[:cumu_name.find('cumu') - 1]
cumu_index = -1
try:
cumu_index = int(cumu_name.split('_')[-1])
except ValueError:
print 'ERROR - Trailing character on cumulative group is not an integer'
continue
cumutr = group()
cumutr.name = cumu_name
cumutr.rate = GetData(sig.childNodes, 'rate')
#Get triggers in this group
for comp in sig.getElementsByTagName('components'):
for compsig in comp.getElementsByTagName('sig'):
cumutr.triggers.append(trig_map[GetData(
compsig.childNodes, 'sig_name')])
if len(cumutr.triggers) != cumu_index + 1:
print 'Error in parsing triggers for group ' + cumu_name
continue
if cumu_name.count('rev') > 0:
group_list[group_name].rev_cumu_group[cumu_index] = cumutr
else:
group_list[group_name].cumu_group[cumu_index] = cumutr
return group_list, trig_map
symtol = 0 # tolerance for symmetry check
for opt in options:
if opt[0] == '-3':
quad = 0
elif opt[0] == '-4':
quad = 1
elif opt[0] == '-o':
order = string.atoi(opt[1])
if order != 1 and order != 2:
sys.stderr.write("order must be 1 or 2!\n")
sys.exit(1)
elif opt[0] == '-n':
meshsize = string.atoi(opt[1])
elif opt[0] == '-t':
symtol = string.atof(opt[1])
hexmaterial = newMaterial("2d-elastic",
HexagonalElasticity("hex", 1.0, 0.5, 0.0, 0.0, 0.0),
Orientation("unrotated", EulerAngle(0, 0, 0)))
mesh = Mesh()
mesh.activate_equation(forcebalance_eqn)
#mesh.activate_equation(plane_stress_eqn)
displacement.set_in_plane(mesh, 1)
mesh.define_field(displacement)
mesh.activate_field(displacement)
#mesh.activate_field(displacement.out_of_plane())
data['brandname_c'])
store_id = string.atoi(s['physicalStoreId'])
if store_id in store_map:
item = store_map[store_id]
cm.dump(
'Duplicated: %s, %s' % (item[cm.addr_e], item[cm.country_e]),
log_name)
continue
entry[cm.country_e] = cm.html2plain(s['country']).strip().upper()
entry[cm.city_e] = cm.html2plain(s['city']).strip().upper()
entry[cm.addr_e] = cm.reformat_addr(s['address'])
val = str(s['latitude'])
if val is not None and val.strip() != '':
entry[cm.lat] = string.atof(val)
val = str(s['longitude'])
if val is not None and val.strip() != '':
entry[cm.lng] = string.atof(val)
entry[cm.name_e] = cm.html2plain(s['name'])
entry[cm.tel] = s['phone1'].strip() if s['phone1'] else ''
entry[cm.zip_code] = s['postalCode'].strip()
entry[cm.store_type] = s['sections'].strip()
gs.field_sense(entry)
ret = gs.addr_sense(entry[cm.addr_e], entry[cm.country_e])
if ret[1] is not None and entry[cm.province_e] == '':
entry[cm.province_e] = ret[1]
if ret[2] is not None and entry[cm.city_e] == '':
entry[cm.city_e] = ret[2]
def run(cluster, detect):
import os
import MySQLdb
import os, sys, anydbm, time
#from config import datb, dataloc
#from config_bonn import cluster
#cluster = sys.argv[1]
#detect = sys.argv[2]
SUBARUDIR = '/nfs/slac/g/ki/ki05/anja/SUBARU/'
output = SUBARUDIR + cluster + '/PHOTOMETRY_' + detect + '_aper/' + cluster + 'spec.cat'
#print datb + cluster
import lib
os.system("mkdir " + cluster)
import string
#if string.find(cluster,'MACS') != -1:
# name = cluster[4:8]
#else:
# name = cluster
from glob import glob
file = './spec/' + cluster + '.zcat'
if glob(file):
zcat_harald = open(file, 'r').readlines()
else:
zcat_harald = []
file = './nedspec/' + cluster + '.zcat'
if glob(file):
zcat_ned = open(file, 'r').readlines()
else:
zcat_ned = []
if len(zcat_harald) or len(zcat_ned):
if len(zcat_harald) > len(zcat_ned):
zcat = zcat_harald
else:
zcat = zcat_ned
import re
op = open('op', 'w')
import os
SeqNr = 0
for line in zcat:
import re
ll = re.split('\s+', line)
if ll[0] == '': ll = ll[1:]
import string
if string.find(ll[0], ':') != 0:
ll = [''] + ll
temp = ['', 'temp']
#print len(ll), 'length'
print ll
if string.find(ll[1], ':') != -1:
for ele in ll[1:]:
temp.append(ele)
ll = temp
#print ll
print ll
id = ll[1] #line[0:6]
agalra = ll[2] #line[8:20]
agaldec = ll[3] #line[22:34]
z = ll[4] #line[37:43]
if string.find(agalra, ':') != -1:
#print id, agalra, agaldec, z
rlist = ['', '', '']
dlist = ['', '', '']
rlist[0] = agalra[0:2]
rlist[1] = agalra[3:5]
rlist[2] = agalra[6:]
dsign = agaldec[0]
dmul = float(dsign + '1')
dlist[0] = agaldec[1:3]
dlist[1] = agaldec[4:6]
dlist[2] = agaldec[7:]
import string
#print rlist, dlist, dsign
radeg = (360 / 24.0) * string.atof(rlist[0]) + (
360.0 / (24.0 * 60)) * string.atof(rlist[1]) + (
360.0 / (24.0 * 60.0 * 60.0)) * string.atof(rlist[2])
spectrara = radeg
decdeg = dmul * (string.atof(dlist[0]) +
(1 / 60.0) * string.atof(dlist[1]) +
string.atof(dlist[2]) * (1 / (60.0 * 60.0)))
else:
radeg = float(agalra)
decdeg = float(agaldec)
spectradec = decdeg
spectraz = z
label = id
#decdiff =decdeg - 24.0695846901
#radiff = radeg - 215.925761617995
#print decdiff, radiff
#op.write(str(radiff) + " " + str(decdiff)+ "\n")
p = re.compile('\S')
m = p.findall(label)
if len(m) == 0: label = 'nolab'
SeqNr += 1
if string.find(
spectraz, '?'
) == -1 and spectraz != '' and spectraz != '-1' and 0 < float(
spectraz) < 3:
print radeg, decdeg, spectraz
op.write(
str(SeqNr) + ' ' + str(radeg) + " " + str(decdeg) + " " +
str(spectraz) + "\n")
op.close()
os.system('asctoldac -i op -o ' + output + ' -c ./photconf/zspec.conf')
return True
else:
return False
tree = string.rstrip(allLines[2])
outFileBre.write(tree)
outFileBre.write("\nttag !;")
i = 4
while i < (numberLines - 1):
allLines_splitted = string.split(allLines[i])
#get pbs values and make sure are clean
pbsValues_splitted = allLines_splitted[2].split(",")
pbsValues_splitted.remove(";")
#get BS
BS = 0 #Bremer support
for item in pbsValues_splitted:
a = string.atof(item) #get PBSi
BS += a
#get PBSi and absPBSi
PBS = 0
c = 0
for item in pbsValues_splitted:
PBSi = string.atof(item) #get PBSi
absPBSi = abs(PBSi) #get absPBSi
b = (absPBSi - BS)
c += b
#Suma|PBSi| - BS
if (BS != 0):
pci2 = c / BS
#(Suma|PBSi| - BS)/BS
def fetch_stores(data):
global national_added
url = data['url']
try:
body = cm.get_data(url)
except Exception:
cm.dump('Error in fetching stores: %s' % url, log_name)
return []
store_list = []
if national_added:
pat = re.compile(ur'<div\s+class\s*=\s*"retailer_address"')
else:
pat = re.compile(
ur'<div\s+class\s*=\s*"retailer_address(\s+national)?"')
national_added = True
for m in re.finditer(pat, body):
entry = cm.init_store_entry(data['brand_id'], data['brandname_e'],
data['brandname_c'])
entry[cm.country_e] = data['country']
entry[cm.province_e] = data['state']
entry[cm.city_e] = cm.extract_city(data['city'])[0]
if u'national' in m.group():
entry[cm.store_type] = u'National Distributor'
else:
entry[cm.store_type] = u'Retailer'
sub = cm.extract_closure(body[m.start():], ur'<div\b', ur'</div>')[0]
name_list = [
cm.reformat_addr(tmp)
for tmp in re.findall(ur'<h3 itemprop="name">([^<>]+)</h3>', sub)
]
entry[cm.name_e] = ', '.join(name_list)
addr_list = [
cm.reformat_addr(tmp) for tmp in re.findall(
ur'<span itemprop="street-address">([^<>]+)</span>', sub)
]
city_addr = ''
m1 = re.search(ur'<span itemprop="locality">([^<>]+)</span>', sub)
if m1 is not None:
city_addr = cm.html2plain(m1.group(1)).strip()
m1 = re.search(ur'<span itemprop="postal-code">([^<>]+)</span>', sub)
if m1 is not None:
entry[cm.zip_code] = cm.html2plain(m1.group(1)).strip()
if city_addr != '':
city_addr = u'%s %s' % (entry[cm.zip_code], city_addr)
if city_addr != '':
addr_list.append(city_addr)
m1 = re.search(ur'<span itemprop="region">([^<>]+)</span>', sub)
if m1 is not None:
addr_list.append(cm.html2plain(m1.group(1)).strip())
if entry[cm.province_e] == '':
entry[cm.province_e] = cm.html2plain(
m1.group(1)).strip().upper()
entry[cm.addr_e] = ', '.join(addr_list)
m1 = re.search(ur'<span itemprop="tel">([^<>]+)</span>', sub)
if m1 is not None:
entry[cm.tel] = m1.group(1).strip()
m1 = re.search(ur'Fax\s*:\s*([^<>]+)', sub)
if m1 is not None:
entry[cm.fax] = m1.group(1).strip()
m1 = re.search(ur'll=(-?\d+\.\d+),(-?\d+\.\d+)', sub)
if m1 is not None:
entry[cm.lat] = string.atof(m1.group(1))
entry[cm.lng] = string.atof(m1.group(2))
gs.field_sense(entry)
ret = gs.addr_sense(entry[cm.addr_e], entry[cm.country_e])
if ret[1] is not None and entry[cm.province_e] == '':
entry[cm.province_e] = ret[1]
if ret[2] is not None and entry[cm.city_e] == '':
entry[cm.city_e] = ret[2]
gs.field_sense(entry)
cm.dump(
'(%s / %d) Found store: %s, %s (%s, %s)' %
(data['brandname_e'], data['brand_id'], entry[cm.name_e],
entry[cm.addr_e], entry[cm.country_e], entry[cm.continent_e]),
log_name)
db.insert_record(entry, 'stores')
store_list.append(entry)
return store_list
raw = json.loads(cm.get_data(url))
except Exception, e:
cm.dump('Error in fetching stores: %s' % url, log_name)
return ()
store_list = []
for s in raw:
entry = cm.init_store_entry(data['brand_id'], data['brandname_e'], data['brandname_c'])
entry[cm.addr_e] = cm.reformat_addr(s['address'])
entry[cm.city_e] = cm.extract_city(s['city'])[0]
entry[cm.country_e] = cm.html2plain(s['country']).strip().upper()
entry[cm.name_e] = cm.html2plain(s['name']).strip().upper()
entry[cm.hours] = cm.reformat_addr(s['hours'])
try:
entry[cm.lat] = string.atof(s['latitude'])
except (ValueError, KeyError, TypeError) as e:
cm.dump('Error in fetching lat-lng: %s' % str(e), log_name)
try:
entry[cm.lng] = string.atof(s['longitude'])
except (ValueError, KeyError, TypeError) as e:
cm.dump('Error in fetching lat-lng: %s' % str(e), log_name)
entry[cm.store_class] = s['public_type'].strip()
entry[cm.tel] = s['telf'].strip()
entry[cm.zip_code] = s['zip'].strip()
gs.field_sense(entry)
ret = gs.addr_sense(entry[cm.addr_e], entry[cm.country_e])
if ret[1] is not None and entry[cm.province_e] == '':
entry[cm.province_e] = ret[1]
if ret[2] is not None and entry[cm.city_e] == '':
def _scaleCommand(self, strVal):
if not self.fScaleCommand:
return
# convert scale val to float
self.set(string.atof(strVal))
"""
Gstr_ageInput = a
if Gstr_ageInput == "-x": fatal('ageSpec')
if len(Gstr_ageInput) != 4:
if Gb_showErr:
print >> sys.stderr, "Invalid length of <ageString>. Must be of form 'XXXM' where"
print >> sys.stderr, "'X' is a number and 'A' is either 'D', 'W', 'M', or 'Y'."
print >> sys.stderr, "\n"
print >> sys.stderr, "Examples of valid <ageStrings>: 034D, 002W, 007Y, etc."
print >> sys.stderr, "\n"
fatal('ageStringLen')
Gstr_ageString = Gstr_ageInput[0:3]
Gstr_ageFact = Gstr_ageInput[3]
if Gstr_ageFact != 'D' and Gstr_ageFact != 'M' and Gstr_ageFact != 'Y' and Gstr_ageFact != 'W':
fatal('ageStringF')
Gf_ageInput = string.atof(Gstr_ageString)
Gf = Gf_ageInput
Gf_ageInDays = {
'D': lambda Gf: Gf * 1.0,
'W': lambda Gf: Gf * 7.0,
'M': lambda Gf: Gf * 30.42,
'Y': lambda Gf: Gf * 365.25
}[Gstr_ageFact](Gf)
print "%d" % Gf_ageInDays,
sys.exit(0)
ANC = first_result_lines[15][2]
NLS = first_result_lines[16][2]
print "precision_micro - " + str(precision_micro)
print "recall_micro - " + str(recall_micro)
print "p8_precision_micro - " + str(p8_precision_micro)
print "r8_recall_micro - " + str(r8_recall_micro)
print "p5_precision_micro - " + str(p5_precision_micro)
print "r5_recall_micro - " + str(r5_recall_micro)
print "mediate_size_micro - " + str(mediate_size_micro)
print "sample_cluster_num_micro - " + str(sample_cluster_num_micro)
print "ANC - " + str(ANC)
print "NLS - " + str(NLS)
y_value_precision_micro.append(
string.atof(first_result_lines[0][2]))
y_value_recall_micro.append(string.atof(first_result_lines[1][2]))
y_value_9_precision_micro.append(
string.atof(first_result_lines[2][2]))
y_value_9_recall_micro.append(string.atof(
first_result_lines[3][2]))
y_value_8_precision_micro.append(
string.atof(first_result_lines[4][2]))
y_value_8_recall_micro.append(string.atof(
first_result_lines[5][2]))
y_value_7_precision_micro.append(
string.atof(first_result_lines[6][2]))
y_value_7_recall_micro.append(string.atof(
first_result_lines[7][2]))
y_value_6_precision_micro.append(
string.atof(first_result_lines[8][2]))
sys.exit(-1)
#for ix in argvs:
# if '.vasp' in ix:
# print ' Read ', ix, '. It is converted to ctrl file now.'
ext2 = argvs[1]
print ext2
# ext1=re.sub('POSCAR_','',ix)
# ext2=re.sub('.vasp','',ext1)
# break
# elif '.cif' in ix:
# ext1 = re.sub('.cif','',ix)
# ext2 = re.sub('.vasp','',ext1)
# break
for ix in argvs:
if '--alat=' in ix:
alatin = string.atof(eval(re.sub('--alat=', '', ix)))
else:
alatin = None
ratioa = 1.00000000000
titleinput = 'ctrls.' + ext2
vaspread = open(argvs[1]).read().split('\n')
plat1 = vaspread[2].split()
plat2 = vaspread[3].split()
plat3 = vaspread[4].split()
print ' ' + vaspread[7]
alat_val = convctrl.vasp2ctrl_alat(vaspread) #unit
if (alatin): ratioa = alatin / alat_val #conversion by given --alat=alatin
all_atom, NBAS_val = convctrl.vasp2ctrl_atomcount(vaspread)
#atom_list = convctrl.vasp2ctrl_atom(vaspread,alat_val,NBAS_val)
def stockCheckUpdate(request):
try:
if isTokenExpired(request):
json2Dict = json.loads(request.body)
identifier = json2Dict['identifier']
stocks = TakeStockOrder.objects.filter(identifier=identifier)
if len(stocks) > 0:
stock = stocks[0]
else:
stockUpdate = setStatus(300, {})
return HttpResponse(json.dumps(stockUpdate),
content_type='application/json')
if 'warehouseID' in json2Dict:
if isValid(json2Dict['warehouseID']):
warehouse_id = int(json2Dict['warehouseID'])
stock.warehouse_id = warehouse_id
if 'personID' in json2Dict:
if isValid(json2Dict['personID']):
person_id = int(json2Dict['personID'])
stock.person_id = person_id
if 'originator' in json2Dict:
if isValid(json2Dict['originator']):
originator = json2Dict['originator']
stock.originator = originator
if 'financeReviewer' in json2Dict:
if isValid(json2Dict['financeReviewer']):
finance_reviewer = json2Dict['financeReviewer']
stock.finance_reviewer = finance_reviewer
if 'managerReviewer' in json2Dict:
if isValid(json2Dict['managerReviewer']):
manager_reviewer = json2Dict['managerReviewer']
stock.manager_reviewer = manager_reviewer
if 'summary' in json2Dict:
if isValid(json2Dict['summary']):
summary = json2Dict['summary']
stock.summary = summary
if 'state' in json2Dict:
if isValid(json2Dict['state']):
state = int(json2Dict['state'])
stock.state = state
if 'printNum' in json2Dict:
if isValid(json2Dict['printNum']):
print_num = int(json2Dict['printNum'])
stock.print_num = print_num
stock.save()
if 'stockCommodities' in json2Dict:
stockCommodities = json2Dict['stockCommodities']
for stockCommodity in stockCommodities:
if 'stockCommoditiyID' in stockCommodity:
stockCommoditiyID = stockCommodity['stockCommoditiyID']
stockCommodityObjs = TakeStockOrderCommodity.objects.filter(
id=stockCommoditiyID)
if len(stockCommodityObjs) > 0:
stockCommodityObj = stockCommodityObjs[0]
else:
stockUpdate = setStatus(300, {})
return HttpResponse(
json.dumps(stockUpdate),
content_type='application/json')
else:
continue
if 'commoditySpecificationID' in stockCommodity:
if isValid(stockCommodity['commoditySpecificationID']):
commodity_specification_id = int(
stockCommodity['commoditySpecificationID'])
stockCommodityObj.commodity_specification_id = commodity_specification_id
if 'inventoryNum' in stockCommodity:
if isValid(stockCommodity['inventoryNum']):
inventory_num = int(stockCommodity['inventoryNum'])
stockCommodityObj.inventory_num = inventory_num
if 'realNum' in stockCommodity:
if isValid(stockCommodity['realNum']):
real_num = int(stockCommodity['realNum'])
stockCommodityObj.real_num = real_num
if 'profitOrLossNum' in stockCommodity:
if isValid(stockCommodity['profitOrLossNum']):
profit_or_loss_num = int(
stockCommodity['profitOrLossNum'])
stockCommodityObj.profit_or_loss_num = profit_or_loss_num
if 'advanceMoney' in stockCommodity:
if isValid(stockCommodity['advanceMoney']):
unit_price = atof(stockCommodity['advanceMoney'])
stockCommodityObj.unit_price = unit_price
if 'money' in stockCommodity:
if isValid(stockCommodity['money']):
money = atof(stockCommodity['money'])
stockCommodityObj.money = money
stockCommodityObj.save()
stockJSON = getStock(stock)
stockCheckUpdate = setStatus(200, stockJSON)
else:
return notTokenExpired()
except Exception, e:
logErr = basic_log.Logger('error')
logErr.log(traceback.format_exc())
transaction.rollback()
stockCheckUpdate = setStatus(500, traceback.format_exc())
def fetch_stores(data):
url = data['store_url']
param = {
'store_country': data['country_code'],
'store_city': data['city_code']
}
try:
body = cm.post_data(url, param)
except Exception:
cm.dump('Error in fetching stores: %s, %s' % (url, param), log_name)
return []
store_list = []
for s in re.findall(ur'<marker\b([^<>]+)/\s*>', body):
entry = cm.init_store_entry(data['brand_id'], data['brandname_e'],
data['brandname_c'])
m = re.search(ur'store_name="([^"]+)"', s)
if m is not None:
entry[cm.name_e] = cm.reformat_addr(m.group(1))
entry[cm.country_e] = data['country_code']
entry[cm.city_e] = data['city']
addr_list = []
for key in ['store_mall_name', 'store_address', 'store_zip_code']:
m = re.search(ur'%s="([^"]+)"' % key, s)
if m is not None:
tmp = cm.reformat_addr(m.group(1))
if tmp != '':
addr_list.append(tmp)
entry[cm.addr_e] = ', '.join(addr_list)
m = re.search(ur'store_zip_code="([^"]+)"', s)
if m is not None:
entry[cm.zip_code] = m.group(1).strip()
m = re.search(ur'store_telephone="([^"]+)"', s)
if m is not None:
entry[cm.tel] = m.group(1).strip()
m = re.search(ur'store_fax="([^"]+)"', s)
if m is not None:
entry[cm.fax] = m.group(1).strip()
m = re.search(ur'store_email="([^"]+)"', s)
if m is not None:
entry[cm.email] = m.group(1).strip()
m = re.search(ur'store_latitude="([^"]+)"', s)
if m is not None:
entry[cm.lat] = string.atof(m.group(1).strip())
m = re.search(ur'store_longitude="([^"]+)"', s)
if m is not None:
entry[cm.lng] = string.atof(m.group(1).strip())
gs.field_sense(entry)
ret = gs.addr_sense(entry[cm.addr_e], entry[cm.country_e])
if ret[1] is not None and entry[cm.province_e] == '':
entry[cm.province_e] = ret[1]
gs.field_sense(entry)
cm.dump(
'(%s / %d) Found store: %s, %s (%s, %s)' %
(data['brandname_e'], data['brand_id'], entry[cm.name_e],
entry[cm.addr_e], entry[cm.country_e], entry[cm.continent_e]),
log_name)
db.insert_record(entry, 'stores')
store_list.append(entry)
m3 = re.search(ur'<div class="address1">([^<>]+)', m2)
val = cm.html2plain(m3.group(1)).strip() if m3 else ''
if val != '':
addr_list.append(val)
m3 = re.search(ur'<div class="address2">([^<>]+)', m2)
val = cm.html2plain(m3.group(1)).strip() if m3 else ''
if val != '':
addr_list.append(val)
entry[cm.addr_e] = ', '.join(addr_list)
m3 = re.search(ur'<div class="zipcode">([^<>]+)', m2)
entry[cm.zip_code] = m3.group(1).strip() if m3 else ''
try:
m3 = re.search(ur'<div class="latitude">([^<>]+)', m2)
entry[cm.lat] = string.atof(m3.group(1)) if m3 else ''
except (ValueError, KeyError, TypeError) as e:
cm.dump('Error in fetching lat: %s' % str(e), log_name)
try:
m3 = re.search(ur'<div class="longitude">([^<>]+)', m2)
entry[cm.lng] = string.atof(m3.group(1)) if m3 else ''
except (ValueError, KeyError, TypeError) as e:
cm.dump('Error in fetching lng: %s' % str(e), log_name)
m3 = re.search(ur'<a href="([^"]+)"\s*>DETAILS', m2)
if m3:
d = data.copy()
d['url'] = m3.group(1)
entry = fetch_store_details(d, entry)
gs.field_sense(entry)
def fetch_stores(data):
print '(%s/%d) Found city: %s' % (data['brandname_e'], data['brand_id'], data['city_e'])
url = data['url']
try:
html = cm.get_data(url)
except Exception:
print 'Error occured: %s' % url
dump_data = {'level': 0, 'time': cm.format_time(), 'data': {'url': url}, 'brand_id': data['brand_id']}
cm.dump(dump_data)
return []
# 处理重定向
m = re.search('<h2>Object moved to <a href="(.+?)">', html)
if m is not None:
data['url'] = data['host'] + m.group(1)
return fetch_countries(data)
m = re.search('var\s+data\s*=\s*', html)
if m is None:
return []
sub, start, end = cm.extract_closure(html[m.end():], r'\[', r'\]')
if end == 0:
return []
store_list = []
for s in json.loads(sub):
entry = cm.init_store_entry(data['brand_id'], data['brandname_e'], data['brandname_c'])
name = s['Name']
if cm.is_cjk(name):
entry[cm.name_c] = name
else:
entry[cm.name_e] = name
entry[cm.addr_e] = cm.html2plain(s['Street'])
entry[cm.city_e] = cm.extract_city(data['city_e'])[0]
entry[cm.country_e] = data['country_e']
entry[cm.province_e] = data['province_e']
pat = re.compile(ur'tel[\.: ]*', re.I)
entry[cm.tel] = re.sub(pat, '', s['Phone']).strip()
pat = re.compile(ur'fax[\.: ]*', re.I)
entry[cm.fax] = re.sub(pat, '', s['Fax']).strip()
entry[cm.email] = s['Email'].strip()
entry[cm.url] = s['Website'].strip()
coord = s['LatLng']
if coord is not None and len(coord) >= 2:
if coord[0] is not None:
entry[cm.lat] = string.atof(coord[0])
if coord[1] is not None:
entry[cm.lng] = string.atof(coord[1])
gs.field_sense(entry)
ret = gs.addr_sense(entry[cm.addr_e], entry[cm.country_e])
if ret[1] is not None and entry[cm.province_e] == '':
entry[cm.province_e] = ret[1]
if ret[2] is not None and entry[cm.city_e] == '':
entry[cm.city_e] = ret[2]
gs.field_sense(entry)
print '(%s/%d) Found store: %s, %s (%s, %s)' % (data['brandname_e'], data['brand_id'],
entry[cm.name_e], entry[cm.addr_e], entry[cm.country_e],
entry[cm.continent_e])
store_list.append(entry)
db.insert_record(entry, 'stores')
return store_list
def modularity(vector_dict, edge_dict):
Q = 0.0
# m represents the total wight
m = 0
for i in edge_dict.keys():
edge_list = edge_dict[i]
for j in xrange(len(edge_list)):
l = edge_list[j].strip().split(":")
m += string.atof(l[1].strip())
# cal community of every vector
#find member in every community
community_dict = {}
for i in vector_dict.keys():
if vector_dict[i] not in community_dict:
community_list = []
else:
community_list = community_dict[vector_dict[i]]
community_list.append(i)
community_dict[vector_dict[i]] = community_list
#cal inner link num and degree
innerLink_dict = {}
for i in community_dict.keys():
sum_in = 0.0
sum_tot = 0.0
#vector num
vector_list = community_dict[i]
#print "vector_list : ", vector_list
#two loop cal inner link
if len(vector_list) == 1:
tmp_list = edge_dict[vector_list[0]]
tmp_dict = {}
for link_mem in tmp_list:
l = link_mem.strip().split(":")
tmp_dict[l[0]] = l[1]
if vector_list[0] in tmp_dict:
sum_in = string.atof(tmp_dict[vector_list[0]])
else:
sum_in = 0.0
else:
for j in xrange(0, len(vector_list)):
link_list = edge_dict[vector_list[j]]
tmp_dict = {}
for link_mem in link_list:
l = link_mem.strip().split(":")
#split the vector and weight
tmp_dict[l[0]] = l[1]
for k in xrange(0, len(vector_list)):
if vector_list[k] in tmp_dict:
sum_in += string.atof(tmp_dict[vector_list[k]])
#cal degree
for vec in vector_list:
link_list = edge_dict[vec]
for i in link_list:
l = i.strip().split(":")
sum_tot += string.atof(l[1])
Q += ((sum_in / m) - (sum_tot / m) * (sum_tot / m))
return Q
def stockCheckInsert(request):
try:
if isTokenExpired(request):
json2Dict = json.loads(request.body)
take_stock_date = time.strftime('%Y-%m-%d %H:%M:%S',
time.localtime(time.time()))
identifier = 'TSO-' + take_stock_date[0:10] + '-'
if 'warehouseID' in json2Dict:
if isValid(json2Dict['warehouseID']):
warehouse_id = int(json2Dict['warehouseID'])
else:
warehouse_id = 0
else:
warehouse_id = 0
if 'personID' in json2Dict:
if isValid(json2Dict['personID']):
person_id = int(json2Dict['personID'])
else:
person_id = 0
else:
person_id = 0
if 'originator' in json2Dict:
if isValid(json2Dict['originator']):
originator = json2Dict['originator']
else:
originator = None
else:
warehouse_id = None
if 'financeReviewer' in json2Dict:
if isValid(json2Dict['financeReviewer']):
finance_reviewer = json2Dict['financeReviewer']
else:
finance_reviewer = None
else:
finance_reviewer = None
if 'managerReviewer' in json2Dict:
if isValid(json2Dict['managerReviewer']):
manager_reviewer = json2Dict['managerReviewer']
else:
manager_reviewer = None
else:
manager_reviewer = None
if 'summary' in json2Dict:
if isValid(json2Dict['summary']):
summary = json2Dict['summary']
else:
summary = None
else:
summary = None
if 'state' in json2Dict:
if isValid(json2Dict['state']):
state = int(json2Dict['state'])
else:
state = 0
else:
state = 0
if 'printNum' in json2Dict:
if isValid(json2Dict['printNum']):
print_num = int(json2Dict['printNum'])
else:
print_num = 0
else:
print_num = 0
is_delete = 0
stock = TakeStockOrder(None, take_stock_date, identifier,
warehouse_id, person_id, originator,
finance_reviewer, manager_reviewer, summary,
state, print_num, is_delete)
stock.save()
stock.identifier = identifier + str(stock.id)
stock.save()
if 'stockCommodities' in json2Dict:
stockCommodities = json2Dict['stockCommodities']
for stockCommodity in stockCommodities:
take_stock_order_id = stock.id
if 'commoditySpecificationID' in stockCommodity:
if isValid(stockCommodity['commoditySpecificationID']):
commodity_specification_id = int(
stockCommodity['commoditySpecificationID'])
else:
commodity_specification_id = 0
else:
commodity_specification_id = 0
if 'inventoryNum' in stockCommodity:
if isValid(stockCommodity['inventoryNum']):
inventory_num = int(stockCommodity['inventoryNum'])
else:
inventory_num = 0
else:
inventory_num = 0
if 'realNum' in stockCommodity:
if isValid(stockCommodity['realNum']):
real_num = int(stockCommodity['realNum'])
else:
real_num = 0
else:
real_num = 0
if 'profitOrLossNum' in stockCommodity:
if isValid(stockCommodity['profitOrLossNum']):
profit_or_loss_num = int(
stockCommodity['profitOrLossNum'])
else:
profit_or_loss_num = 0
else:
profit_or_loss_num = 0
if 'unitPrice' in stockCommodity:
if isValid(stockCommodity['unitPrice']):
unit_price = atof(stockCommodity['unitPrice'])
else:
unit_price = 0
else:
unit_price = 0
if 'money' in stockCommodity:
if isValid(stockCommodity['money']):
money = atof(stockCommodity['money'])
else:
money = 0
else:
money = 0
stockCommoditiObj = TakeStockOrderCommodity(
None, take_stock_order_id, commodity_specification_id,
inventory_num, real_num, profit_or_loss_num,
unit_price, money)
stockCommoditiObj.save()
stockJSON = getStock(stock)
stockCheckInsert = setStatus(200, stockJSON)
else:
return notTokenExpired()
except Exception, e:
logErr = basic_log.Logger('error')
logErr.log(traceback.format_exc())
transaction.rollback()
stockCheckInsert = setStatus(500, traceback.format_exc())