How to use list_all method in avocado
Best Python code snippet using avocado_python
My_BypassTree.py
Source:My_BypassTree.py 
1class BSTNode:2 def __init__(self, key, val, parent):3 self.NodeKey = key # клÑÑ Ñзла4 self.NodeValue = val # знаÑение в Ñзле5 self.Parent = parent # ÑодиÑÐµÐ»Ñ Ð¸Ð»Ð¸ None Ð´Ð»Ñ ÐºÐ¾ÑнÑ6 self.LeftChild = None # левÑй поÑомок7 self.RightChild = None # пÑавÑй поÑомок8 self.from_level = 09class BSTFind: # пÑомежÑÑоÑнÑй ÑезÑлÑÑÐ°Ñ Ð¿Ð¾Ð¸Ñка10 def __init__(self):11 self.Node = None # None еÑли12 # в деÑеве вообÑе неÑÑ Ñзлов13 self.NodeHasKey = False # True еÑли Ñзел найден14 self.ToLeft = False # True, еÑли ÑодиÑелÑÑÐºÐ¾Ð¼Ñ ÑÐ·Ð»Ñ Ð½Ð°Ð´Ð¾15 # добавиÑÑ Ð½Ð¾Ð²Ñй Ñзел левÑм поÑомком16class BST:17 def __init__(self, node=None):18 self.Root = node # коÑÐµÐ½Ñ Ð´ÐµÑева, или None19 self.levels = 020 def FindNodeByKey(self, key):21 # иÑем в деÑеве Ñзел и ÑопÑÑÑÑвÑÑÑÑÑ Ð¸Ð½ÑоÑмаÑÐ¸Ñ Ð¿Ð¾ клÑÑÑ22 # возвÑаÑÐ°ÐµÑ BSTFind23 itemFind = BSTFind()24 if self.Root == None:25 return itemFind26 else:27 def find(node, key):28 if node.NodeKey < key and node.RightChild != None:29 find(node.RightChild, key)30 elif node.NodeKey < key and node.RightChild == None:31 itemFind.Node = node32 itemFind.NodeHasKey = False33 itemFind.ToLeft = False34 return itemFind35 elif node.NodeKey > key and node.LeftChild != None:36 find(node.LeftChild, key)37 elif node.NodeKey > key and node.LeftChild == None:38 itemFind.Node = node39 itemFind.NodeHasKey = False40 itemFind.ToLeft = True41 return itemFind42 else:43 itemFind.Node = node44 itemFind.NodeHasKey = True45 return itemFind46 return itemFind47 return find(self.Root, key)48 def AddKeyValue(self, key, val):49 # добавлÑем клÑÑ-знаÑение в деÑево50 # false еÑли клÑÑ Ñже еÑÑÑ51 search_result = self.FindNodeByKey(key)52 if self.Root == None:53 newNode = BSTNode(key, val, None)54 self.Root = newNode55 newNode.from_level = 156 return True57 elif search_result.NodeHasKey == True:58 return False59 elif search_result.NodeHasKey == False:60 if search_result.ToLeft == True:61 newNode = BSTNode(key, val, search_result.Node)62 search_result.Node.LeftChild = newNode63 newNode.Parent = search_result.Node64 newNode.from_level = self.Count_Parent(newNode)65 return True66 else:67 newNode = BSTNode(key, val, search_result.Node)68 search_result.Node.RightChild = newNode69 newNode.Parent = search_result.Node70 newNode.from_level = self.Count_Parent(newNode)71 return True72 def FinMinMax(self, FromNode, FindMax=False):73 # иÑем макÑималÑное/минималÑное (Ñзел) в поддеÑеве74 if self.Root == None or FromNode == None:75 return None76 node = FromNode77 if FindMax == False:78 while node.LeftChild != None:79 node = node.LeftChild80 return node81 else:82 while node.RightChild != None:83 node = node.RightChild84 return node85 def DeleteNodeByKey(self, key):86 # ÑдалÑем Ñзел по клÑÑÑ ÐµÑли Ñзел не найден87 if self.Root == None:88 return False89 else:90 def remove_leaf(del_node):91 # ÑÑнкÑÐ¸Ñ ÑÐ´Ð°Ð»ÐµÐ½Ð¸Ñ Ð»Ð¸ÑÑа92 if del_node.Parent.LeftChild == del_node:93 del_node.Parent.LeftChild = None94 del_node.Parent = None95 else:96 del_node.Parent.RightChild = None97 del_node.Parent = None98 return True99 100 def remove_node_with_right_child(del_node):101 # ÑÑнкÑÐ¸Ñ ÑÐ´Ð°Ð»ÐµÐ½Ð¸Ñ Ñзла Ñ Ð¾Ð´Ð½Ð¸Ð¼ пÑавÑм поÑомком102 if del_node.Parent.LeftChild == del_node:103 del_node.Parent.LeftChild = del_node.RightChild104 else:105 del_node.Parent.RightChild = del_node.RightChild106 del_node.RightChild.Parent = del_node.Parent107 del_node.Parent = None108 del_node.RightChild = None109 return True110 111 def remove_node_with_left_child(del_node):112 # ÑÑнкÑÐ¸Ñ ÑÐ´Ð°Ð»ÐµÐ½Ð¸Ñ Ñзла Ñ Ð¾Ð´Ð½Ð¸Ð¼ левÑм поÑомком113 if del_node.Parent.LeftChild == del_node:114 del_node.Parent.LeftChild = del_node.LeftChild115 else:116 del_node.Parent.RightChild = del_node.LeftChild117 del_node.LeftChild.Parent = del_node.Parent118 del_node.Parent = None119 del_node.LeftChild = None120 return True121 122 find_remove = self.FindNodeByKey(key)123 del_node = find_remove.Node124 if find_remove.NodeHasKey == False:125 return False126 elif del_node.Parent == None: # еÑли ÑдалÑемÑй Ñзел - коÑенÑ127 self.Root = None128 return True129 elif del_node.RightChild == None and del_node.LeftChild == None:130 # еÑли в ÑдалÑемом Ñзле Ð½ÐµÑ Ð¿Ð¾Ñомков131 return remove_leaf(del_node)132 elif (del_node.RightChild != None and del_node.LeftChild == None):133 # еÑли в ÑдалÑемом Ñзле еÑÑÑ Ð¾Ð´Ð¸Ð½ пÑавÑй поÑомок134 return remove_node_with_right_child(del_node)135 elif (del_node.RightChild == None and del_node.LeftChild != None):136 # еÑли в ÑдалÑемом Ñзле еÑÑÑ Ð¾Ð´Ð¸Ð½ левÑй поÑомок137 return remove_node_with_left_child(del_node)138 elif (del_node.RightChild != None and del_node.LeftChild != None):139 # еÑли в ÑдалÑемом Ñзле еÑÑÑ Ð¾Ð±Ð° поÑомка140 node = del_node.RightChild141 while True:142 if (node.LeftChild == None and node.RightChild != None): # наÑли Ñзел ÑолÑко Ñ Ð¿ÑавÑм поÑомком. ÐоÑомка пеÑемеÑаем на меÑÑо ÑдалÑемого143 del_node.NodeKey = node.NodeKey144 del_node.NodeValue = node.NodeValue145 return remove_node_with_right_child(node)146 elif (node.LeftChild == None and node.RightChild == None): # наÑли лиÑÑ. Ðго помеÑаем на меÑÑо ÑдалÑемого Ñзла.147 del_node.NodeKey = node.NodeKey148 del_node.NodeValue = node.NodeValue149 return remove_leaf(node)150 node = node.LeftChild151 def Count_Parent(self, node):152 count = 1153 while node.Parent != None:154 node = node.Parent155 count += 1156 return count157 def Count(self):158 # колиÑеÑÑво Ñзлов в деÑеве159 list_count = []160 if self.Root == None:161 return 0162 else:163 def find(node):164 list_count.append(1)165 if node.RightChild != None and node.LeftChild != None:166 child = []167 child.append(node.LeftChild)168 child.append(node.RightChild)169 for i in child:170 find(i)171 elif node.RightChild != None and node.LeftChild == None:172 find(node.RightChild)173 elif node.RightChild == None and node.LeftChild != None:174 find(node.LeftChild)175 elif node.RightChild == None and node.LeftChild == None:176 return list_count177 return list_count178 size = len(find(self.Root))179 return size180 def WideAllNodes(self):181 q = []182 list_all = []183 if self.Root == None:184 return list_all185 else:186 q.append(self.Root)187 while len(q) != 0:188 node = q.pop(0)189 list_all.append(node)190 if node.LeftChild != None:191 q.append(node.LeftChild)192 if node.RightChild != None:193 q.append(node.RightChild)194 return list_all195 def DeepAllNodes(self, option_bypass):196 list_all = []197 if self.Root == None:198 return list_all199 else:200 def bypass_0(node, list_all):201 if node.LeftChild != None and node.RightChild != None:202 bypass_0(node.LeftChild, list_all)203 list_all.append(node)204 bypass_0(node.RightChild, list_all)205 return list_all206 elif node.LeftChild == None and node.RightChild != None:207 list_all.append(node)208 bypass_0(node.RightChild, list_all)209 return list_all210 elif node.LeftChild != None and node.RightChild == None:211 bypass_0(node.LeftChild, list_all)212 return list_all213 else:214 list_all.append(node)215 return list_all216 def bypass_1(node, list_all):217 if node.LeftChild != None and node.RightChild != None:218 bypass_1(node.LeftChild, list_all)219 bypass_1(node.RightChild, list_all)220 list_all.append(node)221 return list_all222 elif node.LeftChild == None and node.RightChild != None:223 bypass_1(node.RightChild, list_all)224 list_all.append(node)225 return list_all226 elif node.LeftChild != None and node.RightChild == None:227 bypass_1(node.LeftChild, list_all)228 list_all.append(node)229 return list_all230 else:231 list_all.append(node)232 return list_all233 234 def bypass_2(node, list_all):235 if node.LeftChild != None and node.RightChild != None:236 list_all.append(node)237 bypass_2(node.LeftChild, list_all)238 bypass_2(node.RightChild, list_all)239 return list_all240 elif node.LeftChild == None and node.RightChild != None:241 list_all.append(node)242 bypass_2(node.RightChild, list_all)243 return list_all244 elif node.LeftChild != None and node.RightChild == None:245 list_all.append(node)246 bypass_2(node.LeftChild, list_all)247 return list_all248 else:249 list_all.append(node)250 return list_all251 if option_bypass == 0:252 bypass_0(self.Root, list_all)253 return list_all254 elif option_bypass == 1:255 bypass_1(self.Root, list_all)256 return list_all257 elif option_bypass == 2:258 bypass_2(self.Root, list_all)259 return list_all260"""261My_BTS = BST()262My_BTS.AddKeyValue(70, 7)263My_BTS.AddKeyValue(31, 3)264My_BTS.AddKeyValue(80, 8)265My_BTS.AddKeyValue(22, 2)266My_BTS.AddKeyValue(37, 3)267My_BTS.AddKeyValue(73, 7)268My_BTS.AddKeyValue(91, 7)269My_BTS.AddKeyValue(18, 7)270My_BTS.AddKeyValue(25, 7)271My_BTS.AddKeyValue(100, 7)272My_BTS.AddKeyValue(20, 2)273My_BTS.AddKeyValue(23, 2)274My_BTS.AddKeyValue(27, 2)275My_BTS.AddKeyValue(26, 2)276print('size:', My_BTS.Count())277root = My_BTS.FindNodeByKey(70)278deep = My_BTS.DeepAllNodes(1)279wide = My_BTS.WideAllNodes()280#print(deep, wide)281for i in deep:282 print(i.NodeKey)...
main_TimingGeneData.py
Source:main_TimingGeneData.py
1# -*- coding: utf-8 -*-2"""3Created on Sun May 19 17:34:46 20194@author: 329085"""6import csv7import random8import time 9from datetime import datetime10import pymysql11import uuid12# -----------------------------------------------------------------------------13def strTimeProp(start, end, prop, frmt):14 stime = time.mktime(time.strptime(start, frmt))15 etime = time.mktime(time.strptime(end, frmt))16 ptime = stime + prop * (etime - stime)17 return int(ptime)18def randomDate(start, end, frmt='%Y-%m-%d %H:%M:%S'):19 return time.strftime(frmt, time.localtime(strTimeProp(start, end, random.random(), frmt)))20# -----------------------------------------------------------------------------21def get_column(key,column_all):22 column = [row[key] for row in column_all]23 column = list(set(column))24 return column 25# -----------------------------------------------------------------------------26def gen_uuid():27 uuid_now = str(uuid.uuid4())28 uuid_tmp = uuid_now.split('-')29 uuid_now = "".join(uuid_tmp)30 return uuid_now31# -----------------------------------------------------------------------------32def get_faultobj():33 count = random.randint(0,4)34 list_obj = []35 with open("fault_object_all.csv","r",encoding="utf-8-sig") as csvfile:36 reader = csv.DictReader(csvfile)37 column_all = [row for row in reader]38 if count != 0:39 for i in range(1,count+1):40 column = get_column(str(i),column_all)41 cho = random.choice(column)42 list_obj.append(cho)43 str_obj = ".".join(list_obj)44 else:45 str_obj = ''46 return str_obj47# -----------------------------------------------------------------------------48def write2mysql(list_all):49 db = pymysql.connect("192.168.1.21","root","123456",charset="utf8")50 cur = db.cursor()51 cur.execute("use darams")52 uuid_now = gen_uuid()53 time_now = datetime.now()54 sql = \55 '''56 INSERT INTO data_fault_order_simu VALUES('{}',{},'{}','{}','{}','{}','{}','{}','{}','{}','{}','{}',{},'{}','{}','{}','{}',{},\57 '{}','{}',{},'{}','{}','{}','{}','{}','{}','{}','{}','{}',{},'{}',{},{},'{}','{}','{}','{}','{}','{}','{}','{}','{}','{}',\58 '{}','{}','{}',{},'{}','{}',{},'{}','{}','{}','{}','{}','{}',{},'{}','{}',{},'{}',{},{},{},{},'{}','{}','{}','{}','{}',\59 'YX','{}','YX','{}','0','')60 '''.format(uuid_now,list_all[0],list_all[1],list_all[2],list_all[3],list_all[4],list_all[5],list_all[6],list_all[7],list_all[8],\61 list_all[9],list_all[10],list_all[11],list_all[12],list_all[13],list_all[14],list_all[15],list_all[16],list_all[17],\62 list_all[18],list_all[19],list_all[20],list_all[23],list_all[24],list_all[25],list_all[26],\63 list_all[27],list_all[28],list_all[29],list_all[30],list_all[31],list_all[32],list_all[33],list_all[34],list_all[35],\64 list_all[36],list_all[37],list_all[38],list_all[39],list_all[40],list_all[41],list_all[42],list_all[43],list_all[44],\65 list_all[45],list_all[46],list_all[47],list_all[48],list_all[49],list_all[50],list_all[51],list_all[52],list_all[53],\66 list_all[54],list_all[55],list_all[56],list_all[57],list_all[58],list_all[59],list_all[60],list_all[61],list_all[62],\67 list_all[63],list_all[64],list_all[65],list_all[66],list_all[67],list_all[68],list_all[69],list_all[70],list_all[71],\68 time_now,time_now)69 cur.execute(sql)70 db.commit()71 db.close()72# print(sql)73# -----------------------------------------------------------------------------74def main(list_keys):75# count = 176# if count >= 1 \77# and count <= 10:78 list_all = []79 start = '2018-06-02 12:12:12'80 end = '2018-11-01 00:00:00'81 with open("data_template.csv","r",encoding = "utf-8-sig") as csvfile:82 reader = csv.DictReader(csvfile)83 column_all = [row for row in reader]84 for key in list_keys:85 if key in ['if_fault_id','intuitive_fault_object_id','intuitive_fault_pattern_id','accumulated_mileage',\86 'real_fault_object_id','real_fault_pattern_id','replace_parts']:87 cho = random.randint(1,9999999)88 elif key in ['start_late','end_late','diagnostic_time','debugging_time','total_repair_counts','repair_time',\89 'total_downtime']:90 cho = random.uniform(0,100)91 cho = round(cho,2)92 elif key == 'fault_no':93 cho = 'simu_' + str(list_all[0])94 elif key == 'train_no':95 continue96 elif key == 'train_type':97 column = get_column(key,column_all)98 cho = random.choice(column)99 cho_split = cho.split(':')100 list_all.append(cho_split[-1])101 cho = cho_split[0]102 elif key in ['occurrence_time','occurrence_time','report_time','processing_date']:103 cho = randomDate(start,end)104 elif key in ['fault_brief','configuration_location','intuitive_fault_object','intuitive_fault_object_desc',\105 'intuitive_fault_pattern_desc','fault_desc','report_person','report_part','contact_tel',\106 'real_fault_object','real_other_fault_object_desc','real_other_fault_pattern_desc','fault_cause',\107 'other_fault_cause_desc','initial_cause_analysis','final_cause_analysis','initial_treatment_measures',\108 'final_treatment_measures']:109 cho = get_faultobj()110 elif key in ['fault_environment','fault_result','other_solution','closed_loop_time']:111 cho = 'None'112 else:113 column = get_column(key,column_all)114 cho = random.choice(column)115 list_all.append(cho)116# print(list_all)117# print(len(list_all))118 write2mysql(list_all)119# -----------------------------------------------------------------------------120# if __name__ == "__main__":121# list_keys = ['if_fault_id', 'fault_no', 'status', 'occurrence_time', 'occurrence_place', 'train_no', 'train_type', 'car_no', 'railway', 'report_position', 'cause_class', 'org_id', 'fault_level', 'fault_brief', 'configuration_location', 'intuitive_fault_object', 'intuitive_fault_object_id', 'intuitive_fault_object_desc', 'intuitive_fault_pattern', 'intuitive_fault_pattern_id', 'intuitive_fault_pattern_desc', 'reconnect_location', 'occurrence_time', 'occurrence_place', 'accident_level', 'responsibility_class', 'running_way', 'fault_environment', 'main_responsibility', 'other_responsibility', 'car_trips', 'accumulated_mileage', 'fault_result', 'start_late', 'end_late', 'fault_desc', 'fault_order_type', 'report_time', 'processing_date', 'processing_result', 'special_fault', 'safety_supervisio_fault', 'in_repair', 'startup_fault_analysis', 'report_person', 'report_part', 'contact_tel', 'real_fault_object', 'real_fault_object_id', 'real_other_fault_object_desc', 'real_fault_pattern', 'real_fault_pattern_id', 'real_other_fault_pattern_desc', 'fault_cause', 'other_fault_cause_desc', 'solution', 'other_solution', 'fault_property', 'diagnostic_time', 'initial_cause_analysis', 'final_cause_analysis', 'replace_parts', 'repair_location', 'debugging_time', 'total_repair_counts', 'repair_time', 'total_downtime', 'repair_property', 'initial_treatment_measures', 'final_treatment_measures', 'important_info_no', 'closed_loop_time']122# # list_keys = ['if_fault_id','fault_no','status','occurrence_time','train_no','train_type','intuitive_fault_object']123# main(list_keys)...
utils.py
Source:utils.py
1import pandas as pd2import glob3from datetime import datetime, timedelta4# read all csv in folder 'dataset'5def read_csv():6 list_csv = []7 name_path = 'dataset'8 # Select all csv in folder selected9 names_files = glob.glob(name_path + "/*.csv")10 # join all them11 for filename in names_files:12 df = pd.read_csv(filename, sep=';')13 df_mask = df['codmun'].isnull()14 filtered_df = df[df_mask]15 list_csv.append(filtered_df)16 frame = pd.concat(list_csv, axis=0, ignore_index=True)17 frame['data'] = pd.to_datetime(frame['data']) # .dt.strftime('%d/%m/%Y')18 return frame19# Calculate all itens20def itens_calculate(df, date, date_start, uf):21 list_all = []22 mask = df['data'] == date.strftime('%Y-%m-%d')23 df_aux = df[mask]24 # Date25 list_all.append(date)26 # State27 if uf == 76:28 list_all.append('Brasil')29 else:30 list_all.append(df['estado'].iloc[0])31 # CasosAcumulado32 list_all.append(int(df_aux['casosAcumulado'].iloc[0]))33 # MediaMovelCasosAtual, MediaMovelCasosAnterior, Situação, Porcentagem34 for i in moving_average(df, date, date_start, 0):35 list_all.append(i)36 # ObitosAcumulados37 list_all.append(df_aux['obitosAcumulado'].iloc[0])38 # MediaMovelObtitosAtual, MediaMovelObitosAnterior, Situação, Porcentagem39 for j in moving_average(df, date, date_start, 1):40 list_all.append(j)41 return list_all42# number = 0 -> Casos or number != 0 -> Ãbitos43def moving_average(df, date, date_start, number):44 list_all = []45 if number == 0:46 df_aux = df[['data', 'casosAcumulado']]47 else:48 df_aux = df[['data', 'obitosAcumulado']]49 # MediaMovelAtual50 mean_today = average_call(df, date, date_start, number)51 # MediaMovelAnterior52 mean_before = average_call(53 df, date - timedelta(days=1), date_start, number)54 list_all.append(int(mean_today))55 list_all.append(int(mean_before))56 # Situação e Porcentagem of each moving-average57 if mean_before == 0:58 if mean_today != 0:59 list_all.append('Aumento')60 list_all.append(100)61 else:62 list_all.append('Estabilidade')63 list_all.append('-')64 elif mean_today/mean_before > 1:65 list_all.append('Aumento')66 list_all.append(round(((mean_today/mean_before - 1)*100), 4))67 elif mean_today/mean_before < 1:68 list_all.append('Diminuicao')69 list_all.append(round(abs(mean_today/mean_before - 1)*100, 4))70 else:71 list_all.append('Estabilidade')72 list_all.append(round((mean_today/mean_before - 1)*100, 4))73 return list_all74# Calculate Average Moving75def average_call(df, date, date_start, number):76 colum = ''77 if number == 0:78 colum = 'casosAcumulado'79 else:80 colum = 'obitosAcumulado'81 # First 7 days82 if date.strftime('%Y-%m-%d') < (date_start + timedelta(days=7)).strftime('%Y-%m-%d'):83 mask = (df['data'] <= date.strftime('%Y-%m-%d'))84 df_aux = df[mask]85 return df_aux[colum].sum()/786 # After87 else:88 # Select part of dataframe that need to calculate mean89 mask = (df['data'] <= date.strftime(90 '%Y-%m-%d')) & (df['data'] > (date - timedelta(days=7)).strftime('%Y-%m-%d'))91 df_aux = df[mask]...
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