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How to use get_parent method in Slash
Best Python code snippet using slash
Basics.py
Source:Basics.py 
1from src.engine.types import Helpers2import random3import traceback4import os5import pandas as pd6class Basics:7 parent = ""8 subsector = ""9 data = []10 def __init__(self, parent, subsector, data):11 self.parent = parent12 self.subsector = subsector13 self.data = data14 def final(self):15 self.mc()16 self.div()17 self.beta()18 self.price()19 self.pt()20 self.up()21 self.tpe()22 self.fpe()23 self.ps()24 self.pb()25 self.pf()26 self.pMargin()27 self.opMargin()28 self.retOnAsset()29 self.retOnEquity()30 self.evToRev()31 self.evToEbitda()32 return str(self.data).replace("'", "\"")33 def mc(self):34 count = 035 parent_t = ""36 for tick in self.data:37 if self.parent == "Customs":38 if os.path.isfile('./data/tickers/Categories.csv'):39 get_parent = pd.read_csv('./data/tickers/Categories.csv')40 isSubsector = get_parent['Subsector'] == tick['Category']41 parentSect = get_parent[isSubsector]42 parent_t = str(parentSect['ParentSector'].head(1).item())43 else:44 parent_t = self.parent45 try:46 p_e = Helpers.get_by_type(parent_t, tick['Category'], tick['Ticker'], "quote")47 if "ERROR" in p_e:48 self.data[count]['basics'] = {'mc': '-999'}49 else:50 if p_e[str(list(p_e.keys())[0])]['Market Cap'] == 'N/A':51 self.data[count]['basics'] = {'mc': '-999'}52 else:53 m_cap = str(p_e[str(list(p_e.keys())[0])]['Market Cap'])54 if "B" in m_cap:55 m_cap = float(m_cap.replace("B", ""))56 elif "M" in m_cap:57 m_cap = round(float(m_cap.replace("M", ""))/1000, 2)58 elif "T" in m_cap:59 m_cap = round(float(m_cap.replace("T", ""))*1000, 2)60 else:61 m_cap = round(float(m_cap.replace(",", ""))/1000000, 2)62 self.data[count]['basics'] = {'mc': str(m_cap)}63 except:64 self.data[count]['basics'] = {'mc': '-999'}65 pass66 count = count + 167 def div(self):68 count = 069 parent_t = ""70 for tick in self.data:71 if self.parent == "Customs":72 if os.path.isfile('./data/tickers/Categories.csv'):73 get_parent = pd.read_csv('./data/tickers/Categories.csv')74 isSubsector = get_parent['Subsector'] == tick['Category']75 parentSect = get_parent[isSubsector]76 parent_t = str(parentSect['ParentSector'].head(1).item())77 else:78 parent_t = self.parent79 try:80 p_e = Helpers.get_by_type(parent_t, tick['Category'], tick['Ticker'], "quote")81 if "ERROR" in p_e:82 self.data[count]['basics']['div'] = '-999'83 else:84 if 'N/A' in p_e[str(list(p_e.keys())[0])]['Forward Dividend & Yield']:85 self.data[count]['basics']['div'] = '-999'86 else:87 div = str(p_e[str(list(p_e.keys())[0])]['Forward Dividend & Yield'])88 div = div.split("(")[1]89 div = div.split("%")[0]90 self.data[count]['basics']['div'] = str(div)91 except:92 self.data[count]['basics']['div'] = '-999'93 pass94 count = count + 195 def beta(self):96 count = 097 parent_t = ""98 for tick in self.data:99 if self.parent == "Customs":100 if os.path.isfile('./data/tickers/Categories.csv'):101 get_parent = pd.read_csv('./data/tickers/Categories.csv')102 isSubsector = get_parent['Subsector'] == tick['Category']103 parentSect = get_parent[isSubsector]104 parent_t = str(parentSect['ParentSector'].head(1).item())105 else:106 parent_t = self.parent107 try:108 p_e = Helpers.get_by_type(parent_t, tick['Category'], tick['Ticker'], "quote")109 if "ERROR" in p_e:110 self.data[count]['basics']['beta'] = '-999'111 else:112 if 'N/A' in p_e[str(list(p_e.keys())[0])]['Beta (5Y Monthly)']:113 self.data[count]['basics']['beta'] = '-999'114 else:115 beta = str(p_e[str(list(p_e.keys())[0])]['Beta (5Y Monthly)'])116 self.data[count]['basics']['beta'] = str(beta)117 except:118 self.data[count]['basics']['beta'] = '-999'119 pass120 count = count + 1121 def price(self):122 count = 0123 parent_t = ""124 for tick in self.data:125 if self.parent == "Customs":126 if os.path.isfile('./data/tickers/Categories.csv'):127 get_parent = pd.read_csv('./data/tickers/Categories.csv')128 isSubsector = get_parent['Subsector'] == tick['Category']129 parentSect = get_parent[isSubsector]130 parent_t = str(parentSect['ParentSector'].head(1).item())131 else:132 parent_t = self.parent133 try:134 p_e = Helpers.get_by_type(parent_t, tick['Category'], tick['Ticker'], "quote")135 if "ERROR" in p_e:136 self.data[count]['basics']['price'] = '-999'137 else:138 if 'N/A' in p_e[str(list(p_e.keys())[0])]['value']:139 self.data[count]['basics']['price'] = '-999'140 else:141 price = str(p_e[str(list(p_e.keys())[0])]['value'])142 self.data[count]['basics']['price'] = str(price)143 except:144 self.data[count]['basics']['price'] = '-999'145 pass146 count = count + 1147 def pt(self):148 count = 0149 parent_t = ""150 for tick in self.data:151 if self.parent == "Customs":152 if os.path.isfile('./data/tickers/Categories.csv'):153 get_parent = pd.read_csv('./data/tickers/Categories.csv')154 isSubsector = get_parent['Subsector'] == tick['Category']155 parentSect = get_parent[isSubsector]156 parent_t = str(parentSect['ParentSector'].head(1).item())157 else:158 parent_t = self.parent159 try:160 p_e = Helpers.get_by_type(parent_t, tick['Category'], tick['Ticker'], "quote")161 if "ERROR" in p_e:162 self.data[count]['basics']['target'] = '-999'163 else:164 if 'N/A' in p_e[str(list(p_e.keys())[0])]['1y Target Est']:165 self.data[count]['basics']['target'] = '-999'166 else:167 target = str(p_e[str(list(p_e.keys())[0])]['1y Target Est'])168 self.data[count]['basics']['target'] = str(target)169 except:170 self.data[count]['basics']['target'] = '-999'171 pass172 count = count + 1173 def up(self):174 count = 0175 parent_t = ""176 for tick in self.data:177 if self.parent == "Customs":178 if os.path.isfile('./data/tickers/Categories.csv'):179 get_parent = pd.read_csv('./data/tickers/Categories.csv')180 isSubsector = get_parent['Subsector'] == tick['Category']181 parentSect = get_parent[isSubsector]182 parent_t = str(parentSect['ParentSector'].head(1).item())183 else:184 parent_t = self.parent185 try:186 p_e = Helpers.get_by_type(parent_t, tick['Category'], tick['Ticker'], "quote")187 if "ERROR" in p_e:188 self.data[count]['basics']['upside'] = '-999'189 else:190 if 'N/A' in p_e[str(list(p_e.keys())[0])]['1y Target Est']:191 self.data[count]['basics']['upside'] = '-999'192 else:193 target = float(p_e[str(list(p_e.keys())[0])]['1y Target Est'].replace(",", ""))194 price = float(p_e[str(list(p_e.keys())[0])]['value'].replace(",", ""))195 upside = round(((target - price)/price)*100, 2)196 if upside>300:197 raise Exception("Upaside over 300% - Invalid")198 else:199 self.data[count]['basics']['upside'] = str(upside)200 except:201 self.data[count]['basics']['upside'] = '-999'202 pass203 count = count + 1204 def pMargin(self):205 count = 0206 parent_t = ""207 for tick in self.data:208 if self.parent == "Customs":209 if os.path.isfile('./data/tickers/Categories.csv'):210 get_parent = pd.read_csv('./data/tickers/Categories.csv')211 isSubsector = get_parent['Subsector'] == tick['Category']212 parentSect = get_parent[isSubsector]213 parent_t = str(parentSect['ParentSector'].head(1).item())214 else:215 parent_t = self.parent216 try:217 p_e = Helpers.get_by_type(parent_t, tick['Category'], tick['Ticker'], "quote")218 if "ERROR" in p_e:219 self.data[count]['basics']['pMar'] = '-999'220 else:221 if 'N/A' in p_e[str(list(p_e.keys())[0])]['Profit Margin ']:222 self.data[count]['basics']['pMar'] = '-999'223 else:224 target = float(p_e[str(list(p_e.keys())[0])]['Profit Margin '].replace(",", "").replace("%", ""))225 if target>100:226 raise Exception("Profit margin over 100% - Invalid")227 else:228 self.data[count]['basics']['pMar'] = str(target)229 except:230 self.data[count]['basics']['pMar'] = '-999'231 pass232 count = count + 1233 def opMargin(self):234 count = 0235 parent_t = ""236 for tick in self.data:237 if self.parent == "Customs":238 if os.path.isfile('./data/tickers/Categories.csv'):239 get_parent = pd.read_csv('./data/tickers/Categories.csv')240 isSubsector = get_parent['Subsector'] == tick['Category']241 parentSect = get_parent[isSubsector]242 parent_t = str(parentSect['ParentSector'].head(1).item())243 else:244 parent_t = self.parent245 try:246 p_e = Helpers.get_by_type(parent_t, tick['Category'], tick['Ticker'], "quote")247 if "ERROR" in p_e:248 self.data[count]['basics']['opMar'] = '-999'249 else:250 if 'N/A' in p_e[str(list(p_e.keys())[0])]['Operating Margin (ttm)']:251 self.data[count]['basics']['opMar'] = '-999'252 else:253 target = float(254 p_e[str(list(p_e.keys())[0])]['Operating Margin (ttm)'].replace(",", "").replace("%", ""))255 if target > 100:256 raise Exception("Operating margin over 100% - Invalid")257 else:258 self.data[count]['basics']['opMar'] = str(target)259 except:260 self.data[count]['basics']['opMar'] = '-999'261 pass262 count = count + 1263 def retOnAsset(self):264 count = 0265 parent_t = ""266 for tick in self.data:267 if self.parent == "Customs":268 if os.path.isfile('./data/tickers/Categories.csv'):269 get_parent = pd.read_csv('./data/tickers/Categories.csv')270 isSubsector = get_parent['Subsector'] == tick['Category']271 parentSect = get_parent[isSubsector]272 parent_t = str(parentSect['ParentSector'].head(1).item())273 else:274 parent_t = self.parent275 try:276 p_e = Helpers.get_by_type(parent_t, tick['Category'], tick['Ticker'], "quote")277 if "ERROR" in p_e:278 self.data[count]['basics']['retAs'] = '-999'279 else:280 if 'N/A' in p_e[str(list(p_e.keys())[0])]['Return on Assets (ttm)']:281 self.data[count]['basics']['retAs'] = '-999'282 else:283 target = float(284 p_e[str(list(p_e.keys())[0])]['Return on Assets (ttm)'].replace(",", "").replace("%", ""))285 if target > 100:286 raise Exception("Return on asset over 100% - Invalid")287 else:288 self.data[count]['basics']['retAs'] = str(target)289 except:290 self.data[count]['basics']['retAs'] = '-999'291 pass292 count = count + 1293 def retOnEquity(self):294 count = 0295 parent_t = ""296 for tick in self.data:297 if self.parent == "Customs":298 if os.path.isfile('./data/tickers/Categories.csv'):299 get_parent = pd.read_csv('./data/tickers/Categories.csv')300 isSubsector = get_parent['Subsector'] == tick['Category']301 parentSect = get_parent[isSubsector]302 parent_t = str(parentSect['ParentSector'].head(1).item())303 else:304 parent_t = self.parent305 try:306 p_e = Helpers.get_by_type(parent_t, tick['Category'], tick['Ticker'], "quote")307 if "ERROR" in p_e:308 self.data[count]['basics']['retEq'] = '-999'309 else:310 if 'N/A' in p_e[str(list(p_e.keys())[0])]['Return on Equity (ttm)']:311 self.data[count]['basics']['retEq'] = '-999'312 else:313 target = float(314 p_e[str(list(p_e.keys())[0])]['Return on Equity (ttm)'].replace(",", "").replace("%", ""))315 if target > 100:316 raise Exception("Return on asset over 100% - Invalid")317 else:318 self.data[count]['basics']['retEq'] = str(target)319 except:320 self.data[count]['basics']['retEq'] = '-999'321 pass322 count = count + 1323 def fpe(self):324 count = 0325 parent_t = ""326 for tick in self.data:327 if self.parent == "Customs":328 if os.path.isfile('./data/tickers/Categories.csv'):329 get_parent = pd.read_csv('./data/tickers/Categories.csv')330 isSubsector = get_parent['Subsector'] == tick['Category']331 parentSect = get_parent[isSubsector]332 parent_t = str(parentSect['ParentSector'].head(1).item())333 else:334 parent_t = self.parent335 try:336 p_e = Helpers.get_by_type(parent_t, tick['Category'], tick['Ticker'], "ks")337 if "ERROR" in p_e:338 self.data[count]['basics']['fpe'] = '-999'339 else:340 if p_e['Current']['Forward P/E 1'] == 'N/A':341 self.data[count]['basics']['fpe'] = '-999'342 else:343 self.data[count]['basics']['fpe'] = p_e['Current']['Forward P/E 1']344 except:345 self.data[count]['basics']['fpe'] = '-999'346 pass347 count = count + 1348 def tpe(self):349 count = 0350 parent_t = ""351 for tick in self.data:352 if self.parent == "Customs":353 if os.path.isfile('./data/tickers/Categories.csv'):354 get_parent = pd.read_csv('./data/tickers/Categories.csv')355 isSubsector = get_parent['Subsector'] == tick['Category']356 parentSect = get_parent[isSubsector]357 parent_t = str(parentSect['ParentSector'].head(1).item())358 else:359 parent_t = self.parent360 try:361 p_e = Helpers.get_by_type(parent_t, tick['Category'], tick['Ticker'], "ks")362 if "ERROR" in p_e:363 self.data[count]['basics']['tpe'] = '-999'364 else:365 if p_e['Current']['Trailing P/E '] == 'N/A':366 self.data[count]['basics']['tpe'] = '-999'367 else:368 self.data[count]['basics']['tpe'] = p_e['Current']['Trailing P/E ']369 except:370 self.data[count]['basics']['tpe'] = '-999'371 pass372 count = count + 1373 def ps(self):374 count = 0375 parent_t = ""376 for tick in self.data:377 if self.parent == "Customs":378 if os.path.isfile('./data/tickers/Categories.csv'):379 get_parent = pd.read_csv('./data/tickers/Categories.csv')380 isSubsector = get_parent['Subsector'] == tick['Category']381 parentSect = get_parent[isSubsector]382 parent_t = str(parentSect['ParentSector'].head(1).item())383 else:384 parent_t = self.parent385 try:386 p_e = Helpers.get_by_type(parent_t, tick['Category'], tick['Ticker'], "ks")387 if "ERROR" in p_e:388 self.data[count]['basics']['ps'] = '-999'389 else:390 if p_e['Current']['Price/Sales (ttm)'] == 'N/A':391 self.data[count]['basics']['ps'] = '-999'392 else:393 self.data[count]['basics']['ps'] = p_e['Current']['Price/Sales (ttm)']394 except:395 self.data[count]['basics']['ps'] = '-999'396 pass397 count = count + 1398 def pb(self):399 count = 0400 parent_t = ""401 for tick in self.data:402 if self.parent == "Customs":403 if os.path.isfile('./data/tickers/Categories.csv'):404 get_parent = pd.read_csv('./data/tickers/Categories.csv')405 isSubsector = get_parent['Subsector'] == tick['Category']406 parentSect = get_parent[isSubsector]407 parent_t = str(parentSect['ParentSector'].head(1).item())408 else:409 parent_t = self.parent410 try:411 p_e = Helpers.get_by_type(parent_t, tick['Category'], tick['Ticker'], "ks")412 if "ERROR" in p_e:413 self.data[count]['basics']['pb'] = '-999'414 else:415 if p_e['Current']['Price/Book (mrq)'] == 'N/A':416 self.data[count]['basics']['pb'] = '-999'417 else:418 self.data[count]['basics']['pb'] = p_e['Current']['Price/Book (mrq)']419 except:420 self.data[count]['basics']['pb'] = '-999'421 pass422 count = count + 1423 def pf(self):424 count = 0425 parent_t = ""426 for tick in self.data:427 if self.parent == "Customs":428 if os.path.isfile('./data/tickers/Categories.csv'):429 get_parent = pd.read_csv('./data/tickers/Categories.csv')430 isSubsector = get_parent['Subsector'] == tick['Category']431 parentSect = get_parent[isSubsector]432 parent_t = str(parentSect['ParentSector'].head(1).item())433 else:434 parent_t = self.parent435 try:436 quote = Helpers.get_by_type(parent_t, tick['Category'], tick['Ticker'], "quote")437 m_cap = str(quote[str(list(quote.keys())[0])]['Market Cap'])438 if "T" in m_cap:439 m_cap = int(float(m_cap.replace("T", "")) * 1000000000000)440 elif "B" in m_cap:441 m_cap = int(float(m_cap.replace("B", "")) * 1000000000)442 elif "M" in m_cap:443 m_cap = int(float(m_cap.replace("M", "")) * 1000000)444 cf = Helpers.get_by_type(parent_t, tick['Category'], tick['Ticker'], "cf")['TTM']445 fin = int(str(cf['Free Cash Flow']).replace(",", "")) * 1000446 self.data[count]['basics']['pf'] = str(round(float(m_cap / fin), 2))447 except:448 self.data[count]['basics']['pf'] = str("-999")449 pass450 count = count + 1451 def evToRev(self):452 count = 0453 parent_t = ""454 for tick in self.data:455 if self.parent == "Customs":456 if os.path.isfile('./data/tickers/Categories.csv'):457 get_parent = pd.read_csv('./data/tickers/Categories.csv')458 isSubsector = get_parent['Subsector'] == tick['Category']459 parentSect = get_parent[isSubsector]460 parent_t = str(parentSect['ParentSector'].head(1).item())461 else:462 parent_t = self.parent463 try:464 p_e = Helpers.get_by_type(parent_t, tick['Category'], tick['Ticker'], "ks")465 if "ERROR" in p_e:466 self.data[count]['basics']['evRev'] = '-999'467 else:468 if p_e['Current']['Enterprise Value/Revenue 3'] == 'N/A':469 self.data[count]['basics']['evRev'] = '-999'470 else:471 self.data[count]['basics']['evRev'] = p_e['Current']['Enterprise Value/Revenue 3']472 except:473 self.data[count]['basics']['evRev'] = '-999'474 pass475 count = count + 1476 def evToEbitda(self):477 count = 0478 parent_t = ""479 for tick in self.data:480 if self.parent == "Customs":481 if os.path.isfile('./data/tickers/Categories.csv'):482 get_parent = pd.read_csv('./data/tickers/Categories.csv')483 isSubsector = get_parent['Subsector'] == tick['Category']484 parentSect = get_parent[isSubsector]485 parent_t = str(parentSect['ParentSector'].head(1).item())486 else:487 parent_t = self.parent488 try:489 p_e = Helpers.get_by_type(parent_t, tick['Category'], tick['Ticker'], "ks")490 if "ERROR" in p_e:491 self.data[count]['basics']['evEbit'] = '-999'492 else:493 if p_e['Current']['Enterprise Value/EBITDA 7'] == 'N/A':494 self.data[count]['basics']['evEbit'] = '-999'495 else:496 self.data[count]['basics']['evEbit'] = p_e['Current']['Enterprise Value/EBITDA 7']497 except:498 self.data[count]['basics']['evEbit'] = '-999'499 pass...
distances_with_trie.py
Source:distances_with_trie.py
...3TEST_MODULE_FLAG = True4# Si al terminar una etapa el menor valor es >threshold se podrÃa parar5# - El nº filas antes era uno más la longitud de una cadena, ahora es el nº estados del Trie.6# - Cuando miras una dependencia vertical en el grafo de dependencia antes venÃa de la letra anterior7# [i-1,j], ahora con [trie.get_parent(i),j].8# - Cuando miras una dependencia diagonal en el grafo de dependencia era una sustitución que venÃa de9# [i-1,j-1] y ahora será de [trie.get_parent(i),j-1]. Para determinar si es sustitución o acierto hay que10# consultar trie.get_label(i).11def dp_levenshtein_backwards_threshold_trie(term_trie, ref, threshold):12 """13 term_trie: Trie of term word14 ref: String15 Calcula la distancia de Levenshtein entre las cadenas term y ref16 con un umbral maximo threshold17 """18 # Res: matriz estructura term_trie.get_num_states x len(ref) + 119 res = init_matriz_trie(term_trie, ref)20 for i in range(1, term_trie.get_num_states()):21 # Si la distancia de el padre es mayor al threshold evitamos j iteraciones22 if min(res[term_trie.get_parent(i), :]) > threshold:23 continue24 for j in range(1, len(ref) + 1):25 res[i,j] = min(26 res[term_trie.get_parent(i),j-1] if term_trie.get_label(i) == ref[j-1] else 1 + res[term_trie.get_parent(i),j-1],27 1 + res[term_trie.get_parent(i),j],28 1 + res[i, j-1]29 )30 result = [(i, res[i, len(ref)]) for i in range(0, term_trie.get_num_states()) if term_trie.is_final(i) and res[i, len(ref)] <= threshold]31 return result32def dp_restricted_damerau_backwards_threshold_trie(term_trie, ref, threshold):33 """34 Calcula la distancia de Damerau Levenshtein Restringida entre las cadenas ref y term.35 Ãnicamente añade la función de que si dos carácteres seguidos aparecen al reves estos supone coste 1 en vez de coste 2.36 """37 # Simula el infinito38 INF = term_trie.get_num_states()+ len(ref)39 res = init_matriz_trie(term_trie, ref)40 for i in range(1, term_trie.get_num_states()):41 for j in range(1, len(ref) + 1):42 if j == 1 or term_trie.get_parent(i) == term_trie.get_root():43 res[i,j] = min(44 res[term_trie.get_parent(i),j-1] if term_trie.get_label(i) == ref[j-1] else 1 + res[term_trie.get_parent(i),j-1],45 1 + res[term_trie.get_parent(i),j],46 1 + res[i, j-1]47 )48 else:49 res[i,j] = min(50 res[term_trie.get_parent(i),j-1] if term_trie.get_label(i) == ref[j-1] else 1 + res[term_trie.get_parent(i),j-1],51 1 + res[term_trie.get_parent(i),j],52 1 + res[i, j-1],53 1 + res[term_trie.get_parent(term_trie.get_parent(i)),j-2] if term_trie.get_label(term_trie.get_parent(i)) == ref[j-1] and term_trie.get_label(i) == ref[j-2] else INF54 )55 result = [(i, res[i, len(ref)]) for i in range(0, term_trie.get_num_states()) if term_trie.is_final(i) and res[i, len(ref)] <= threshold]56 return result57def dp_intermediate_damerau_backwards_threshold_trie(term_trie, ref, threshold):58 """59 Calcula la distancia de Damerau Levenshtein Restringida entre las cadenas ref y term.60 Ãnicamente añade la función de que si dos carácteres seguidos aparecen al reves estos supone coste 1 en vez de coste 2.61 """62 # Simula el infinito63 INF = term_trie.get_num_states()+ len(ref)64 res = init_matriz_trie(term_trie, ref)65 for i in range(0, term_trie.get_num_states()):66 for j in range(1, len(ref) + 1):67 init_actual = min(68 res[term_trie.get_parent(i),j-1] if term_trie.get_label(i) == ref[j-1] else 1 + res[term_trie.get_parent(i),j-1],69 1 + res[term_trie.get_parent(i),j],70 1 + res[i, j-1]71 )72 if j>1 and term_trie.get_parent(i) != term_trie.get_root() and term_trie.get_label(term_trie.get_parent(i)) == ref[j-1] and term_trie.get_label(i) == ref[j-2]:73 res[i,j] = min(74 init_actual,75 1 + res[term_trie.get_parent(term_trie.get_parent(i)),j-2]76 )77 elif j > 2 and term_trie.get_parent(i) != term_trie.get_root() and term_trie.get_label(term_trie.get_parent(i)) == ref[j-1] and term_trie.get_label(i) == ref[j-3]:78 res [i,j] = min(79 init_actual,80 2 + res[term_trie.get_parent(term_trie.get_parent(i)), j-3]81 )82 elif term_trie.get_parent(i) != term_trie.get_root() and term_trie.get_parent(term_trie.get_parent(i)) != term_trie.get_root() and j > 1 and term_trie.get_label(term_trie.get_parent(term_trie.get_parent(i))) == ref[j-1] and term_trie.get_label(i) == ref[j-2]:83 res [i,j] = min(84 init_actual,85 2 + res[term_trie.get_parent(term_trie.get_parent(term_trie.get_parent(i))), j-2]86 )87 else:88 res[i,j] = init_actual89 result = [(i, res[i, len(ref)]) for i in range(0, term_trie.get_num_states()) if term_trie.is_final(i) and res[i, len(ref)] <= threshold]...
백준 1717.py
Source:백준 1717.py
1import sys2sys.setrecursionlimit(10**6)3n, m = map(int, sys.stdin.readline().split())4arr = [i for i in range(n+1)]5def get_parent(n):6 if arr[n] != n:7 arr[n] = get_parent(arr[n])8 return arr[n]9def union_(u, v):10 u = get_parent(u)11 v = get_parent(v)12 if u > v:13 arr[v] = u14 else:15 arr[u] = v16# ë ë¤ë¥¸ ë§ì í¨ì17def union_(u, v):18 u = get_parent(u)19 v = get_parent(v)20 if u != v:21 arr[v]=u22 else:23 return arr[u]24# ë ë¤ë¥¸ í¨ì (ê·¸ë¥ ì°ë©´ í리ë ì´ì : ì¬ê·ê° ë무 ë§ì´ ëë©´ í°ì§)25# sys.setrecursionlimit(10**6)를 ì¶ê°í´ì£¼ë©´ ë§ì.26def union_(u, v):27 u = get_parent(u)28 v = get_parent(v)29 if u < v:30 arr[v] = u31 else:32 arr[u] = v33def find_parent(u, v):34 u = get_parent(u)35 v = get_parent(v)36 if u == v:37 print("YES")38 else:39 print("NO")40for _ in range(m):41 r, a, b = map(int, sys.stdin.readline().split())42 if not r:43 union_(a, b)44 else:45 a = get_parent(a)46 b = get_parent(b)47 if a==b:48 print("YES")49 else:...
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