How to use max_window method in AutoItDriverServer
Best Python code snippet using AutoItDriverServer_python
factor.py
Source:factor.py 
1import pandas as pd2class Factor(object):3 def __init__(self, name, max_window, dependencies):4 self.name = name5 self.max_window = max_window6 self.dependencies = dependencies7 def calc(self):8 pass9def calc_factors(universe, factor_list, date):10 factor_dict = dict({})11 for fac in factor_list:12 factor_dict[fac.name] = fac.calc(universe, date)13 return factor_dict14######################################## å å对象 ###############################################15class gb(Factor):16 def __init__(self,name = 'gb',max_window = 1,dependencies = ['alpham5am10']):17 Factor.__init__(self,name,max_window,dependencies)18 19 def calc(self,):20 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')21 return data22class rf(Factor):23 def __init__(self,name = 'rf',max_window = 1,dependencies = ['alpham5am10']):24 Factor.__init__(self,name,max_window,dependencies)25 26 def calc(self,):27 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')28 return data29class knn(Factor):30 def __init__(self,name = 'knn',max_window = 1,dependencies = ['alpham5am10']):31 Factor.__init__(self,name,max_window,dependencies)32 33 def calc(self,):34 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')35 return data36class svr(Factor):37 def __init__(self,name = 'svr',max_window = 1,dependencies = ['alpham5am10']):38 Factor.__init__(self,name,max_window,dependencies)39 40 def calc(self,):41 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')42 return data43class mlp(Factor):44 def __init__(self,name = 'mlp',max_window = 1,dependencies = ['alpham5am10']):45 Factor.__init__(self,name,max_window,dependencies)46 47 def calc(self,):48 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')49 return data50class lr(Factor):51 def __init__(self,name = 'lr',max_window = 1,dependencies = ['alpham5am10']):52 Factor.__init__(self,name,max_window,dependencies)53 54 def calc(self,):55 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')56 return data57class varm5am10(Factor):58 def __init__(self,name = 'varm5am10',max_window = 1,dependencies = ['alpham5am10']):59 Factor.__init__(self,name,max_window,dependencies)60 61 def calc(self,):62 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')63 return data64class varm10am10(Factor):65 def __init__(self,name = 'varm10am10',max_window = 1,dependencies = ['alpham5am10']):66 Factor.__init__(self,name,max_window,dependencies)67 68 def calc(self,):69 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')70 return data71class varm15am10(Factor):72 def __init__(self,name = 'varm15am10',max_window = 1,dependencies = ['alpham5am10']):73 Factor.__init__(self,name,max_window,dependencies)74 75 def calc(self,):76 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')77 return data78class varm20am10(Factor):79 def __init__(self,name = 'varm20am10',max_window = 1,dependencies = ['alpham5am10']):80 Factor.__init__(self,name,max_window,dependencies)81 82 def calc(self,):83 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')84 return data85class lgb_factor_intraday(Factor):86 def __init__(self,name = 'lgb_factor_intraday',max_window = 1,dependencies = ['alpham5am10']):87 Factor.__init__(self,name,max_window,dependencies)88 89 def calc(self,):90 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')91 return data92class lgb_factor_daily(Factor):93 def __init__(self,name = 'lgb_factor_daily',max_window = 1,dependencies = ['alpham5am10']):94 Factor.__init__(self,name,max_window,dependencies)95 96 def calc(self,):97 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')98 return data99class lgb_factor_daily_test(Factor):100 def __init__(self,name = 'lgb_factor_daily_test',max_window = 1,dependencies = ['alpham5am10']):101 Factor.__init__(self,name,max_window,dependencies)102 103 def calc(self,):104 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')105 return data106class lgb_1519(Factor):107 def __init__(self,name = 'lgb_1519',max_window = 1,dependencies = ['alpham5am10']):108 Factor.__init__(self,name,max_window,dependencies)109 110 def calc(self,):111 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')112 return data113class alpham5am10(Factor):114 def __init__(self,name = 'alpham5am10',max_window = 1,dependencies = ['alpham5am10']):115 Factor.__init__(self,name,max_window,dependencies)116 117 def calc(self,):118 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')119 return data120class alpham10am10(Factor):121 def __init__(self,name = 'alpham10am10',max_window = 1,dependencies = ['alpham10am10']):122 Factor.__init__(self,name,max_window,dependencies)123 124 def calc(self,):125 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')126 return data127class alpham15am10(Factor):128 def __init__(self,name = 'alpham15am10',max_window = 1,dependencies = ['alpham15am10']):129 Factor.__init__(self,name,max_window,dependencies)130 131 def calc(self,):132 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')133 return data134class alpham20am10(Factor):135 def __init__(self,name = 'alpham20am10',max_window = 1,dependencies = ['alpham20am10']):136 Factor.__init__(self,name,max_window,dependencies)137 138 def calc(self,):139 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')140 return data141class alphad30_vard30(Factor):142 def __init__(self,name = 'alphad30_vard30',max_window = 1,dependencies = ['vard1']):143 Factor.__init__(self,name,max_window,dependencies)144 145 def calc(self,):146 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')147 # ans = data.loc[date, universe]148 return data149class vard1(Factor):150 def __init__(self,name = 'vard1',max_window = 1,dependencies = ['vard1']):151 Factor.__init__(self,name,max_window,dependencies)152 153 def calc(self,):154 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')155 # ans = data.loc[date, universe]156 return data157class vard2(Factor):158 def __init__(self,name = 'vard2',max_window = 1,dependencies = ['vard1']):159 Factor.__init__(self,name,max_window,dependencies)160 161 def calc(self,):162 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')163 # ans = data.loc[date, universe]164 return data165class vard3(Factor):166 def __init__(self,name = 'vard3',max_window = 1,dependencies = ['vard3']):167 Factor.__init__(self,name,max_window,dependencies)168 169 def calc(self,):170 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')171 return data172class vard4(Factor):173 def __init__(self,name = 'vard4',max_window = 1,dependencies = ['vard4']):174 Factor.__init__(self,name,max_window,dependencies)175 176 def calc(self,):177 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')178 return data179class vard5(Factor):180 def __init__(self,name = 'vard5',max_window = 1,dependencies = ['vard5']):181 Factor.__init__(self,name,max_window,dependencies)182 183 def calc(self,):184 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')185 return data186class vard10(Factor):187 def __init__(self,name = 'vard10',max_window = 1,dependencies = ['vard10']):188 Factor.__init__(self,name,max_window,dependencies)189 190 def calc(self,):191 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')192 return data193class vard20(Factor):194 def __init__(self,name = 'vard20',max_window = 1,dependencies = ['vard20']):195 Factor.__init__(self,name,max_window,dependencies)196 197 def calc(self,):198 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')199 return data200class vard30(Factor):201 def __init__(self,name = 'vard30',max_window = 1,dependencies = ['vard30']):202 Factor.__init__(self,name,max_window,dependencies)203 204 def calc(self,):205 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')206 return data207class vard60(Factor):208 def __init__(self,name = 'vard60',max_window = 1,dependencies = ['vard60']):209 Factor.__init__(self,name,max_window,dependencies)210 def calc(self,):211 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')212 return data213class vard120(Factor):214 def __init__(self,name = 'vard120',max_window = 1,dependencies = ['alphad120']):215 Factor.__init__(self,name,max_window,dependencies)216 def calc(self,):217 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')218 return data219class vard240(Factor):220 def __init__(self,name = 'vard240',max_window = 1,dependencies = ['alphad240']):221 Factor.__init__(self,name,max_window,dependencies)222 def calc(self,):223 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')224 return data225class alphad1(Factor):226 def __init__(self,name = 'alphad1',max_window = 1,dependencies = ['alphad1']):227 Factor.__init__(self,name,max_window,dependencies)228 229 def calc(self,):230 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')231 # ans = data.loc[date, universe]232 return data233class alphad2(Factor):234 def __init__(self,name = 'alphad2',max_window = 1,dependencies = ['alphad2']):235 Factor.__init__(self,name,max_window,dependencies)236 237 def calc(self,):238 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')239 return data240class alphad3(Factor):241 def __init__(self,name = 'alphad3',max_window = 1,dependencies = ['alphad3']):242 Factor.__init__(self,name,max_window,dependencies)243 244 def calc(self,):245 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')246 return data247class alphad4(Factor):248 def __init__(self,name = 'alphad4',max_window = 1,dependencies = ['alphad4']):249 Factor.__init__(self,name,max_window,dependencies)250 251 def calc(self,):252 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')253 return data254class alphad5(Factor):255 def __init__(self,name = 'alphad5',max_window = 1,dependencies = ['alphad5']):256 Factor.__init__(self,name,max_window,dependencies)257 258 def calc(self,):259 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')260 return data261class alphad10(Factor):262 def __init__(self,name = 'alphad10',max_window = 1,dependencies = ['alphad10']):263 Factor.__init__(self,name,max_window,dependencies)264 265 def calc(self,):266 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')267 return data268class alphad20(Factor):269 def __init__(self,name = 'alphad20',max_window = 1,dependencies = ['alphad20']):270 Factor.__init__(self,name,max_window,dependencies)271 272 def calc(self,):273 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')274 return data275class alphad30(Factor):276 def __init__(self,name = 'alphad30',max_window = 1,dependencies = ['alphad30']):277 Factor.__init__(self,name,max_window,dependencies)278 279 def calc(self,):280 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')281 return data282class alphad60(Factor):283 def __init__(self,name = 'alphad60',max_window = 1,dependencies = ['alphad60']):284 Factor.__init__(self,name,max_window,dependencies)285 def calc(self,):286 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')287 return data288class alphad120(Factor):289 def __init__(self,name = 'alphad120',max_window = 1,dependencies = ['alphad120']):290 Factor.__init__(self,name,max_window,dependencies)291 def calc(self,):292 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')293 return data294class alphad240(Factor):295 def __init__(self,name = 'alphad240',max_window = 1,dependencies = ['alphad240']):296 Factor.__init__(self,name,max_window,dependencies)297 def calc(self,):298 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')299 return data300class alphard240_md5(Factor):301 def __init__(self,name = 'alphard240_md5',max_window = 1,dependencies = ['alphad240']):302 Factor.__init__(self,name,max_window,dependencies)303 def calc(self,):304 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')305 return data306class pctd1(Factor):307 def __init__(self,name = 'pctd1',max_window = 1,dependencies = ['pctd1']):308 Factor.__init__(self,name,max_window,dependencies)309 310 def calc(self):311 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')312 # ans = data.loc[date, universe]313 return data314class pctd60(Factor):315 def __init__(self,name = 'pctd60',max_window = 1,dependencies = ['pctd60']):316 Factor.__init__(self,name,max_window,dependencies)317 def calc(self):318 data = pd.read_pickle('../data/factors/'+self.name+'.pkl')319 # ans = data.loc[date, universe]320 return data...
Longest Substring With Without Repeating Characters.py
Source:Longest Substring With Without Repeating Characters.py
1def longestSubStringWithoutRepeating(string):2 n = len(string)3 hashMap = {}4 max_window = 05 i = j = 06 FLAG = False7 while j < n:8 FLAG = False9 char = string[j]10 if char not in hashMap:11 hashMap[char] = 112 j += 113 FLAG = True14 else:15 max_window = max(max_window, j - i)16 while string[i] != char:17 if hashMap[string[i]] == 1:18 del hashMap[string[i]]19 i += 120 del hashMap[char]21 i += 122 if FLAG:23 max_window = max(max_window, j - i)24 return max_window25def longestSubStringWithoutRepeating2(string):26 n = len(string)27 hashMap = {}28 i = j = 029 max_window = -130 current_window = 031 while j < n:32 current_window = j - i + 133 char = string[j]34 if char not in hashMap:35 hashMap[char] = 136 else:37 hashMap[char] += 138 39 if len(hashMap) > current_window:40 j += 141 42 elif len(hashMap) == current_window:43 max_window = max(max_window, current_window)44 j += 145 46 elif len(hashMap) < current_window:47 while len(hashMap) and len(hashMap) < current_window:48 char = string[i]49 hashMap[char] -= 150 if hashMap[char] == 0:51 del hashMap[char]52 i += 153 max_window = max(max_window, current_window)54 j += 155 56 return max_window57if __name__ == "__main__":58 s = "pwwkew"59 print(longestSubStringWithoutRepeating(s))...
2096.py
Source:2096.py
1from .. import util2example = """3341 2 354 5 664 9 07"""8util.setinput(example)9import sys10input = sys.stdin.readline11N = int(input())12min_window = [[0 for _ in range(3)] for _ in range(2)]13max_window = [[0 for _ in range(3)] for _ in range(2)]14for n in range(N):15 num = list(map(int, input().split()))16 current = n % 217 next = (n + 1) % 218 min_window[next][0] = min(19 min_window[current][0] + num[0], min_window[current][1] + num[0]20 )21 min_window[next][1] = min(22 min_window[current][0] + num[1],23 min_window[current][1] + num[1],24 min_window[current][2] + num[1],25 )26 min_window[next][2] = min(27 min_window[current][1] + num[2], min_window[current][2] + num[2]28 )29 max_window[next][0] = max(30 max_window[current][0] + num[0], max_window[current][1] + num[0]31 )32 max_window[next][1] = max(33 max_window[current][0] + num[1],34 max_window[current][1] + num[1],35 max_window[current][2] + num[1],36 )37 max_window[next][2] = max(38 max_window[current][1] + num[2], max_window[current][2] + num[2]39 )...
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