KaneAI - World’s First E2E Software Testing Agent.Signup for Private Beta Join TestMu Conference

How to use _line method in localstack

Best Python code snippet using localstack_python

data_vector.py

Source:data_vector.py

1ï»¿import sys2reload(sys)3import pickle4sys.setdefaultencoding('utf8')5x = []6y = []7_data = {}8_yData = {}9max_loud = -50.010min_loud = 0.011music_db = file('Music_DB.txt','r')12movie_db = file('Movie_DB.txt','r')13brand_db = open('Brand_DB.txt','r')14#making features15for a in music_db:16    if (a.split(':')[1].strip()=='None'):17        continue18    if(a.split(':')[0]=='artist'):19        _data[a.split(':')[1].strip()]=120    elif(a.split(':')[0]=='song_type'):21        song_type = a.split(':')[1].split(',')22        for b in song_type:23            _data[b.strip()]=024    elif(a.split(':')[0]=='artist_terms'):25        art_term = a.split(':')[1].split(',')26        for b in art_term:27            _data[b.strip()]=028for a in movie_db:29    if(a.split(':')[0]=='director'):30        director = a.split(':')[1].split(',')31        for b in director:32            _data[b.strip()]=033    elif(a.split(':')[0]=='stars'):34        stars = a.split(':')[1].split(',')35        for b in stars:36            _data[b.strip()]=037    elif(a.split(':')[0]=='genres'):38        genres = a.split(':')[1].split(',')39        for b in genres:40            _data[b.strip()]=041#making features which need to be separated into 10 parts42for a in range(0,10):43    string = 'energy:'+str(a)44    _data[string]=045    string = 'liveness:'+str(a)46    _data[string]=047    string = 'loudness:'+str(a)48    _data[string]=049    string = 'tempo:'+str(a)50    _data[string]=051    string = 'speechiness:'+str(a)52    _data[string]=053    string = 'acousticness:'+str(a)54    _data[string]=055    string = 'danceability:'+str(a)56    _data[string]=057    string = 'instrumentalness:'+str(a)58    _data[string]=059    string = 'valeance:'+str(a)60    _data[string]=061    string = 'song_hotttnesss:'+str(a)62    _data[string]=063    string = 'votes:'+str(a)64    _data[string]=065    string = 'rate:'+str(a)66    _data[string]=067if '' in _data:68    del _data['']69if '\n' in _data:70    del _data['\n']71print len(_data)72#y73for line in brand_db:74    _yData[line.strip()] = 075#pickle.dump(_yData,open('y_vector','wb'))76#search element(movie, music) in list77samples = open('training.txt','r')78#format: title1 title2 title3 .... 79for sample in samples:80    _yData = dict.fromkeys(_yData,0)81    _data = dict.fromkeys(_data, 0)82    answer = sample.split(',,')[1].strip()83    sample = sample.split(',,')[0].split(',')84    _yData[answer] = 185    for a in sample:86        music_db.close()87        movie_db.close()88        music_db = file('Music_DB.txt','r')89        movie_db = file('Movie_DB.txt','r')90        if 'movie_' in a:91            a = a.split('movie_')[1]92            for line in movie_db:93                if 'title' in line and  a == line.split('title:')[1].strip():94                    _line = movie_db.next()95                else:96                    continue97                while(_line.split(':')[0].strip()!='title'):98                    if(_line.split(':')[0]=='rating'):99                        string = 'rate:'+str(int(float(_line.split(':')[1].replace('\n',''))))100                        if string.strip() in _data:101                            _data[string.strip()]=1102                    elif(_line.split(':')[0]=='director'):103                        director = _line.split(':')[1].split(',')104                        for c in director:105                            if c.strip() in _data:106                                _data[c.strip()]=1107                    elif(_line.split(':')[0]=='stars'):108                        stars = _line.split(':')[1].split(',')109                        for c in stars:110                            if c.strip() in _data:111                                _data[c.strip()]=1112                    elif(_line.split(':')[0]=='genres'):113                        genres = _line.split(':')[1].split(',')114                        for c in genres:115                            if c.strip() in _data:116                                _data[c.strip()]=1117                    #votes: 5103 ~ 1447826118                    elif _line.split(':')[0] == 'votes' :119                        votes = float(_line.split(':')[1].replace(',',''))120                        votes = votes - 5103121                        votes = int(votes/1442723)122                        #print votes123                        string = 'votes:' + str(votes)124                       #if string.strip() in _data:125                        _data[string.strip()] = 1126                    _line = movie_db.next()127        #if a is song title128        else:129            for line in music_db:130                if not line:131                    break132                if 'title' in line and str(a) == line.split('title:')[1].strip():133                    _line = music_db.next()134                    while(_line.split(':')[0].strip()!='title'):135                        if(_line.split(':')[0]=='artist'):136                            string = _line.split(':')[1].strip()137                            if string in _data:138                                _data[string]=1139                        elif(_line.split(':')[0]=='energy'):140                            ene = float(_line.split(':')[1].strip())141                            string = 'energy:'+(str)((int)(ene/0.1))142                            if string in _data:143                                _data[string]=1144                        elif(_line.split(':')[0]=='liveness'):145                            live = float(_line.split(':')[1].strip())146                            string = 'liveness:'+(str)((int)(live/0.1))147                            if string in _data:148                                _data[string]=1149                        elif(_line.split(':')[0]=='tempo'):150                            tempo = int(float(_line.split(':')[1].strip()))-65151                            tempo /= 15152                            string = 'tempo:'+str(tempo)153                            if string in _data:154                                _data[string]=1155                        elif(_line.split(':')[0]=='speechiness'):156                            if _line.split(':')[1].strip() == 'None':157                                a = 0.1158                            else:159                                a = float(_line.split(':')[1].strip())160                            string = 'speechiness:'+(str)((int)(a/0.1))161                            if string in _data:162                                _data[string]=1163                        elif(_line.split(':')[0]=='acousticness'):164                            a = float(_line.split(':')[1].strip())165                            string = 'acousticness:'+(str)((int)(a/0.1))166                            if string in _data:167                                _data[string]=1168                        elif(_line.split(':')[0]=='danceability'):169                            a = float(_line.split(':')[1].strip())170                            string = 'danceability:'+(str)((int)(a/0.1))171                            if string in _data:172                                _data[string]=1173                        elif(_line.split(':')[0]=='instrumentalness'):174                            a = float(_line.split(':')[1].strip())175                            string = 'instrumentalness:'+(str)((int)(a/0.1))176                            if string in _data:177                                _data[string]=1178                        elif(_line.split(':')[0]=='loudness'):179                            a = float(_line.split(':')[1].strip())+31180                            string = 'loudness:'+str((int)(a/3.0))181                            if string in _data:182                                _data[string]=1183                        elif(_line.split(':')[0]=='valence'):184                            a = float(_line.split(':')[1].strip())185                            string = 'valeance:'+(str)((int)(a/0.1))186                            if string in _data:187                                _data[string]=1188                        elif(_line.split(':')[0]=='song_hotttnesss'):189                            a = float(_line.split(':')[1].strip())-0.67190                            string = 'song_hotttnesss:'+(str)((int)(a/0.03))191                            if string in _data:192                                _data[string]=1193                        elif(_line.split(':')[0]=='song_type' or _line.split(':')[0]=='artist_terms'):194                            a = _line.split(':')[1].split(',')195                            for b in a:196                                if b.strip() in _data:197                                    _data[b.strip()]=1198                        _line = music_db.next()199        if '\n' in _data:200            del _data['\n']201        if '' in _data:202            del _data['']203    x.append(_data)204    y.append(_yData)205#x,y will be the list of vector206#write x,y to file207x_f = open('x.p','wb')208y_f = open('y.p','wb')209pickle.dump(x,x_f)...

Application.py

Source:Application.py

1from instagram.client import InstagramAPI2import requests3from BeautifulSoup import BeautifulSoup4import sys5import locale6import re7import pickle8import numpy as np9reload(sys)10sys.setdefaultencoding('utf8')11access_token='1085114028.582f029.208ffc1f880049b49b96db01f78e049b'12api=InstagramAPI(access_token=access_token)13client_id='582f02988f5b48baa669fedc9d51fb06'14#get tags data from files15tags_dic={}16music_tags=open('music_tag','r')17for line in music_tags:18	title=line.split('::')[0].strip()19	tags=line.split('::')[1].strip().split(' ')20	tags_dic[title]=tags21movie_tags=open('movie_tag','r')22for line in movie_tags:23	title='movie_'+line.split('::')[0].strip()24	tags=line.split('::')[1].strip().split(' ')25	tags_dic[title]=tags26	27	28	29from sklearn.svm import SVC30from sklearn.externals import joblib31clf = joblib.load('SVM.pkl')	32_data = pickle.load(open('vector.p','rb'))33y = pickle.load(open('y_vector','rb'))34y = y.keys()35while True:36	username=raw_input('What is your instagram UserName? :')37	if username=='q':38		break39	#get user id from username40	url='https://api.instagram.com/v1/users/search?q='+username+'&client_id='+client_id41	result=requests.get(url).json()42	data=result['data']43	for datum in data:44		if datum['username']==username:45			print datum['username']46			user_id=datum['id']47			print user_id48			break49	#get contents from user50	#temp id51	#user_id='453076946'52	url_user='https://api.instagram.com/v1/users/'+user_id+'/media/recent/?client_id='+client_id53	#print url_user54	user_tags=[]55	temp=[]56	check_list=['listening','music','listeningto','nowlisteningto']57	result_user=requests.get(url_user).json()58	while True:59		if 'data' not in result_user:60			next_url=result_user['pagination']61			next_url=next_url['next_url']62			result_user=requests.get(next_url).json()		63			continue64		data_user=result_user['data']65		66		for i in data_user:			67			if any(map(lambda v:v in check_list,i['tags'])):68				#print i['tags']69				for j in i['tags']:70					if j not in user_tags:71						user_tags.append(j)72				#if i['tags'] not in user_tags:73				#	user_tags.append(i['tags'])74			else:75				for k in i['tags']:76					if 'movie' in k:77						for l in i['tags']:78							if l not in user_tags:79								user_tags.append(l)80						break81		next_url=result_user['pagination']82		if 'next_url' not in next_url:83			break84		next_url=next_url['next_url']85		result_user=requests.get(next_url).json()86	87	88	#find valid contents from tags89	valid_tag=[]90	91	for user_tag_item in user_tags:92		is_found=093		for title, tags in tags_dic.iteritems():94			if is_found==1:95				break96			for tag_item in tags:97				if user_tag_item==tag_item:98					if title not in valid_tag:99						valid_tag.append(title)100						is_found=1101						break102	print valid_tag103	for sample in valid_tag:104		_data = dict.fromkeys(_data,0)105		for a in sample:106			music_db = file('Music_DB.txt','r')107			movie_db = file('Movie_DB.txt','r')108			if 'movie_' in a:109			    a = a.split('movie_')[1]110			    for line in movie_db:111			        if 'title' in line and  a == line.split('title:')[1].strip():112			            _line = movie_db.next()113			        else:114			            continue115			        while(_line.split(':')[0].strip()!='title'):116			            if(_line.split(':')[0]=='rating'):117			                string = 'rate:'+str(int(float(_line.split(':')[1].replace('\n',''))))118			                if string.strip() in _data:119			                    _data[string.strip()]=1120			            elif(_line.split(':')[0]=='director'):121			                director = _line.split(':')[1].split(',')122			                for c in director:123			                    if c.strip() in _data:124			                        _data[c.strip()]=1125			            elif(_line.split(':')[0]=='stars'):126			                stars = _line.split(':')[1].split(',')127			                for c in stars:128			                    if c.strip() in _data:129			                        _data[c.strip()]=1130			            elif(_line.split(':')[0]=='genres'):131			                genres = _line.split(':')[1].split(',')132			                for c in genres:133			                    if c.strip() in _data:134			                        _data[c.strip()]=1135			            #votes: 5103 ~ 1419284136			            elif _line.split(':')[0] == 'votes' :137			                votes = float(_line.split(':')[1].replace(',',''))138			                votes = votes - 5103139			                votes = int(votes/141418)140			                #print votes141			                string = 'votes:' + str(votes)142			               #if string.strip() in _data:143			                _data[string.strip()] = 1144			            _line = movie_db.next()145			#if a is song title146			else:147			    for line in music_db:148			        if 'title' in line and str(a) == line.split('title:')[1].strip():149			            _line = music_db.next()150			            while(_line.split(':')[0].strip()!='title'):151			                if(_line.split(':')[0]=='artist'):152			                    string = _line.split(':')[1].strip()153			                    if string in _data:154			                        _data[string]=1155			                elif(_line.split(':')[0]=='energy'):156			                    ene = float(_line.split(':')[1].strip())157			                    string = 'energy:'+(str)((int)(ene/0.1))158			                    if string in _data:159			                        _data[string]=1160			                elif(_line.split(':')[0]=='liveness'):161			                    live = float(_line.split(':')[1].strip())162			                    string = 'liveness:'+(str)((int)(live/0.1))163			                    if string in _data:164			                        _data[string]=1165			                elif(_line.split(':')[0]=='tempo'):166			                    tempo = int(float(_line.split(':')[1].strip()))-65167			                    tempo /= 15168			                    string = 'tempo:'+str(tempo)169			                    if string in _data:170			                        _data[string]=1171			                elif(_line.split(':')[0]=='speechiness'):172			                    a = float(_line.split(':')[1].strip())173			                    string = 'speechiness:'+(str)((int)(a/0.1))174			                    if string in _data:175			                        _data[string]=1176			                elif(_line.split(':')[0]=='acousticness'):177			                    a = float(_line.split(':')[1].strip())178			                    string = 'acousticness:'+(str)((int)(a/0.1))179			                    if string in _data:180			                        _data[string]=1181			                elif(_line.split(':')[0]=='danceability'):182			                    a = float(_line.split(':')[1].strip())183			                    string = 'danceability:'+(str)((int)(a/0.1))184			                    if string in _data:185			                        _data[string]=1186			                elif(_line.split(':')[0]=='instrumentalness'):187			                    a = float(_line.split(':')[1].strip())188			                    string = 'instrumentalness:'+(str)((int)(a/0.1))189			                    if string in _data:190			                        _data[string]=1191			                elif(_line.split(':')[0]=='loudness'):192			                    a = float(_line.split(':')[1].strip())+31193			                    string = 'loudness:'+str((int)(a/3.0))194			                    if string in _data:195			                        _data[string]=1196			                elif(_line.split(':')[0]=='valence'):197			                    a = float(_line.split(':')[1].strip())198			                    string = 'valeance:'+(str)((int)(a/0.1))199			                    if string in _data:200			                        _data[string]=1201			                elif(_line.split(':')[0]=='song_hotttnesss'):202			                    a = float(_line.split(':')[1].strip())-0.67203			                    string = 'song_hotttnesss:'+(str)((int)(a/0.03))204			                    if string in _data:205			                        _data[string]=1206			                elif(_line.split(':')[0]=='song_type' or _line.split(':')[0]=='artist_terms'):207			                    a = _line.split(':')[1].split(',')208			                    for b in a:209			                        if b.strip() in _data:210			                            _data[b.strip()]=1211			                _line = music_db.next()212		if '\n' in _data:213		    del _data['\n']214		if '' in _data:215		    del _data['']216	x = np.array([_data.values()])217	y_index = clf.predict(x)...

2-1.py

Source:2-1.py

1#!/usr/bin/env python32import csv3DATA_DIR = "data/"4def main():5    """Main function."""6    provinces = {}7    with open(DATA_DIR + "çåºå.csv", "r", encoding="utf-8-sig") as in_file:8        for _line in csv.reader(in_file):9            province = dict(name=_line[1])10            provinces[_line[0]] = province11    citys = {}12    with open(DATA_DIR + "å¸åºå.csv", "r", encoding="utf-8-sig") as in_file:13        for _line in csv.reader(in_file):14            try:15                _ = provinces[_line[2]]16                city = dict(name=_line[1], belong=_line[2])17                citys[_line[0]] = city18            except KeyError:19                continue20    countys = {}21    with open(DATA_DIR + "å¿åºåºå.csv", "r", encoding="utf-8-sig") as in_file:22        for _line in csv.reader(in_file):23            try:24                _ = citys[_line[2]]25                county = dict(name=_line[1], belong=_line[2])26                countys[_line[0]] = county27            except KeyError:28                continue29    sites_by_name = {}30    with open(DATA_DIR + "åºç«.csv", "r", encoding="utf-8-sig") as in_file:31        for _line in csv.reader(in_file):32            try:33                _ = countys[_line[3]]34                site = dict(site_id=_line[0], belong=_line[3],35                            stat=_line[4])36                sites_by_name[_line[1]] = site37            except KeyError:38                continue39    faults = []40    with open(DATA_DIR + "åè¦.csv", "r", encoding="utf-8-sig") as in_file:41        for _line in csv.reader(in_file):42            try:43                site = sites_by_name[_line[4]]44                site_id = site['site_id']45                stat = site['stat']46                county = site['belong']47                city = countys[county]['belong']48                province = citys[city]['belong']49            except KeyError:50                continue51            fault = (_line[0], _line[1], _line[2], _line[3], _line[4],52                     site_id, stat, provinces[province]['name'],53                     citys[city]['name'], countys[county]['name'])54            faults.append(fault)55    with open(DATA_DIR + "æ åååè¦.csv", "w", encoding="utf-8-sig") \56        as in_file:57        csv_writer = csv.writer(in_file)58        csv_writer.writerows(faults)...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.