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How to use windowsR method in pyatom
Best Python code snippet using pyatom_python
plot_params.py
Source:plot_params.py 
1"""2===================3plot_params.py4Erica Lastufka 16.10.175===================6Get data to dictionaries. plot.7"""8import glob9import pickle10import os11#from edge_and_hough import windows as windowsf12#from edge_and_hough import windowsr13#print windowsf[0]['pitch'],windowsf[0]['nominal angle']14def load_dict(front_dir='/Users/wheatley/Documents/Solar/MiSolFA/prototypes/mw469sub2737_2017_06_01',rear_dir='/Users/wheatley/Documents/Solar/MiSolFA/prototypes/mw469sub2765_2017_06_02',mag=5.0):15 windowsf=[{'number':11,'pitch':89.6752, 'nominal angle':-44.79357},16 {'number':21,'pitch':90.326, 'nominal angle': 45.20793},17 {'number':12,'pitch':22.4797,'nominal angle': 44.94825},18 {'number':22,'pitch':22.5203,'nominal angle':-45.05184},19 {'number':31,'pitch':45.0814, 'nominal angle':-45.10378},20 {'number':41,'pitch':44.9187, 'nominal angle': 44.8966},21 {'number':32,'pitch':18.013, 'nominal angle': 45.04146},22 {'number':42,'pitch':17.987, 'nominal angle':-44.95859},23 {'number':33,'pitch':29.9639, 'nominal angle':-44.93102},24 {'number':43,'pitch':30.0362, 'nominal angle': 45.06914},25 {'number':34,'pitch':14.991, 'nominal angle': 44.96549},26 {'number':44,'pitch':15.009, 'nominal angle':-45.03455}]27 windowsr=[{'number':11,'pitch':90.326, 'nominal angle':-45.20793},28 {'number':21,'pitch':89.6752, 'nominal angle': 44.79357},29 {'number':12,'pitch':22.5203,'nominal angle': 45.05184},30 {'number':22,'pitch':22.4797,'nominal angle':-44.94825},31 {'number':31,'pitch':44.9187, 'nominal angle':-44.8966},32 {'number':41,'pitch':45.0814, 'nominal angle': 45.10378},33 {'number':32,'pitch':17.987, 'nominal angle': 44.95859},34 {'number':42,'pitch':18.013, 'nominal angle':-45.04146},35 {'number':33,'pitch':30.0362, 'nominal angle':-45.06914},36 {'number':43,'pitch':29.9639, 'nominal angle': 44.93102},37 {'number':34,'pitch':15.009, 'nominal angle': 45.03455},38 {'number':44,'pitch':14.991, 'nominal angle':-44.96549}] #dectector side angle for ease, windows swapped...39 40 windows=[{'side':'f','number':11,'pitch':windowsf[0]['pitch'], 'nangle':windowsf[0]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},41 {'side':'f','number':21,'pitch':windowsf[1]['pitch'], 'nangle': windowsf[1]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},42 {'side':'f','number':12,'pitch':windowsf[2]['pitch'],'nangle': windowsf[2]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},43 {'side':'f','number':22,'pitch':windowsf[3]['pitch'],'nangle':windowsf[3]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},44 {'side':'f','number':31,'pitch':windowsf[4]['pitch'], 'nangle':windowsf[4]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},45 {'side':'f','number':41,'pitch':windowsf[5]['pitch'], 'nangle': windowsf[5]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},46 {'side':'f','number':32,'pitch':windowsf[6]['pitch'], 'nangle':windowsf[6]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},47 {'side':'f','number':42,'pitch':windowsf[7]['pitch'], 'nangle':windowsf[7]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},48 {'side':'f','number':33,'pitch':windowsf[8]['pitch'], 'nangle':windowsf[8]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},49 {'side':'f','number':43,'pitch':windowsf[9]['pitch'], 'nangle': windowsf[9]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},50 {'side':'f','number':34,'pitch':windowsf[10]['pitch'], 'nangle': windowsf[10]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},51 {'side':'f','number':44,'pitch':windowsf[11]['pitch'], 'nangle':windowsf[11]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},52 {'side':'r','number':11,'pitch':windowsr[0]['pitch'], 'nangle':windowsr[0]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},53 {'side':'r','number':21,'pitch':windowsr[1]['pitch'], 'nangle': windowsr[1]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},54 {'side':'r','number':12,'pitch':windowsr[2]['pitch'],'nangle':windowsr[2]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},55 {'side':'r','number':22,'pitch':windowsr[3]['pitch'],'nangle':windowsr[3]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},56 {'side':'r','number':31,'pitch':windowsr[4]['pitch'], 'nangle':windowsr[4]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},57 {'side':'r','number':41,'pitch':windowsr[5]['pitch'], 'nangle':windowsr[5]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},58 {'side':'r','number':32,'pitch':windowsr[6]['pitch'], 'nangle':windowsr[6]['nominal angle'] ,'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},59 {'side':'r','number':42,'pitch':windowsr[7]['pitch'], 'nangle':windowsr[7]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},60 {'side':'r','number':33,'pitch':windowsr[8]['pitch'], 'nangle':windowsr[8]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},61 {'side':'r','number':43,'pitch':windowsr[9]['pitch'], 'nangle':windowsr[9]['nominal angle'] ,'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},62 {'side':'r','number':34,'pitch':windowsr[10]['pitch'], 'nangle': windowsr[10]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0},63 {'side':'r','number':44,'pitch':windowsr[11]['pitch'], 'nangle':windowsr[1]['nominal angle'],'pmean':0.0,'pmed':0.0,'pvar':0.0,'amean':0.0,'amed':0.0,'avar':0.0}]64 65 #frontdir='/Users/wheatley/Documents/Solar/MiSolFA/prototypes/mw469sub2737_2017_06_01'66 #reardir='/Users/wheatley/Documents/Solar/MiSolFA/prototypes/mw469sub2765_2017_06_02'67 os.chdir(front_dir)68 statfiles=glob.glob('*stats*'+str(mag)+'.p')69 #statfiles=glob.glob('*stats.p')70 for sf in statfiles:71 win=sf[3:5]72 idx=[i for i in range(0,12) if windows[i]['number']==int(win)][0]73 sdict=pickle.load(open(sf,'rb'))74 if 'width' in sf:75 windows[idx]['pmean']=sdict['mean']76 windows[idx]['pmed']=sdict['median']77 windows[idx]['pvar']=sdict['stddev']78 else:79 windows[idx]['amean']=sdict['mean']80 windows[idx]['amed']=sdict['median']81 windows[idx]['avar']=sdict['stddev']82 83 os.chdir(rear_dir)84 statfiles=glob.glob('*stats*'+str(mag)+'.p')85 #statfiles=glob.glob('*stats.p')86 for sf in statfiles:87 win=sf[3:5]88 idx=[i for i in range(12,24) if windows[i]['number']==int(win)][0]89 sdict=pickle.load(open(sf,'rb'))90 if 'width' in sf:91 windows[idx]['pmean']=sdict['mean']92 windows[idx]['pmed']=sdict['median']93 windows[idx]['pvar']=sdict['stddev']94 else:95 windows[idx]['amean']=sdict['mean']96 windows[idx]['amed']=sdict['median']97 windows[idx]['avar']=sdict['stddev']98 os.chdir('../')99 pickle.dump(windows,open('windows'+str(mag)+'.p','wb'))100 return windows101def repickle():102 frontdir='/Users/wheatley/Documents/Solar/MiSolFA/prototypes/mw469sub2737_2017_06_01'103 reardir='/Users/wheatley/Documents/Solar/MiSolFA/prototypes/mw469sub2765_2017_06_02'104 os.chdir(frontdir)105 statfiles=glob.glob('*stats.p')106 for sf in statfiles:107 sdict=pickle.load(open(sf,'rb'))108 data=sdict['data']109 stats={'mean':sdict['mean'],'median':sdict['median'],'stddev':sdict['stddev']}110 dname=sf[:-7]+'data.p'111 pickle.dump(data,open(dname,'wb'))112 pickle.dump(stats,open(sf,'wb'))113 114 os.chdir(reardir)115 statfiles=glob.glob('*stats.p')116 for sf in statfiles:117 sdict=pickle.load(open(sf,'rb'))118 data=sdict['data']119 stats={'mean':sdict['mean'],'median':sdict['median'],'stddev':sdict['stddev']}120 dname=sf[:-7]+'data.p'121 pickle.dump(data,open(dname,'wb'))122 pickle.dump(stats,open(sf,'wb'))123 os.chdir('../')124def plot_params(window,title1='Front Assembly',title2='Rear Assembly',ptype=False):125 error=np.zeros(12)+1.995126 #front window - pitch vs. expected values127 wnums=[window[i]['number'] for i in range(0,12)]128 nomsa=[window[i]['nangle'] for i in range(0,12)]129 pmeans=[window[i]['pmean'] for i in range(0,12)]130 print pmeans131 perrs=[window[i]['pvar'] for i in range(0,12)]132 noms=[]133 for i in range(0,12):134 noms.append(window[i]['pitch'])135 x=np.linspace(1,12,12)136 fig,ax=plt.subplots()137 ax.errorbar(x, np.array(pmeans)-np.array(noms), yerr=np.array(perrs),138 fmt='o', ecolor='g', capthick=2)139 #pl.plot(x, y, 'k', color='#CC4F1B')140 #ax.fill_between(x,-error, error,alpha=0.5, facecolor='#FF9848')141 ax.set_xticks(x)142 ax.set_xticklabels(wnums)143 ax.set_title(title1)144 ax.set_xlabel('Window Number')145 ax.set_xlim([0,13])146 ax.set_ylim([-2,2])147 ax.set_ylabel('Mean Pitch - Nominal Pitch, $\mu$m')148 fig.show()149 #return noms150 151 #front window - angle vs. expected values152 #wnums=[window[i]['number'] for i in range(0,12)]153 ameds=[np.abs(window[i]['amean']) for i in range(0,12)]154 aerrs=[window[i]['avar'] for i in range(0,12)]155 noms=[window[i]['nangle'] for i in range(0,12)]156 x=np.linspace(1,12,12)157 fig,ax=plt.subplots()158 ax.errorbar(x, ameds, yerr=aerrs,159 fmt='o', ecolor='g', capthick=2,label='Mean Value')160 ax.scatter(x,np.abs(np.array(noms)),color='r',marker='v',s=40, label='Nominal Value')161 #pl.plot(x, y, 'k', color='#CC4F1B')162 #ax.fill_between(x,noms-error, noms+error,alpha=0.5, facecolor='#FF9848')163 #ax.set_xtickinterval(x[:-1])164 ax.set_xticks(x)165 ax.set_xticklabels(wnums)166 ax.set_title(title1)167 ax.set_xlabel('Window Number')168 ax.set_xlim([0,13])169 ax.set_ylim([44.25,45.75])170 ax.set_ylabel('Absolute Value of Slat Orientation in degrees')171 ax.legend()172 fig.show()173 174 #rear window - pitch vs. expected values175 wnums=[window[i]['number'] for i in range(12,24)]176 if ptype: #shuffle the rear windows to correspond to the correct numbers177 real21=window[13]178 print real21['amean']179 real11=window[12]180 print real11['amean'] 181 real22=window[14]182 real12=window[15]183 real41=window[16]184 real31=window[17]185 real42=window[18]186 real32=window[19]187 real43=window[20]188 real33=window[21]189 real44=window[22]190 real34=window[23]191 window[12]['number']=21192 window[12]['nangle']=-44.72509193 window[13]['number']=11194 window[13]['nangle']=45.27757195 window[14]['number']=22196 window[14]['nangle']=44.93102197 window[15]['number']=12198 window[15]['nangle']=-45.06914199 window[16]['number']=41200 window[16]['nangle']=-45.13845 201 window[17]['number']=31202 window[17]['nangle']=44.86222203 window[18]['number']=42204 window[18]['nangle']=45.0553205 window[19]['number']=32206 window[19]['nangle']=-44.94481207 window[20]['number']=43208 window[20]['nangle']=-44.90807209 window[21]['number']=33210 window[21]['nangle']=45.09223211 window[22]['number']=44212 window[22]['nangle']= 44.954 213 window[23]['number']=34214 window[23]['nangle']=-45.04608215 nwins=[window[0],window[1],window[2],window[3],window[4],window[5],window[6],window[7],window[8],window[9],window[10],window[11],window[13],window[12],window[15],window[14],window[17],window[16],window[19],window[18],window[21],window[20],window[23],window[22]]216 window=nwins217 nomsa=[window[i]['nangle'] for i in range(12,24)] 218 pmeans=[window[i]['pmean'] for i in range(12,24)]219 perrs=[window[i]['pvar'] for i in range(12,24)]220 noms=[]221 for i in range(0,12):222 noms.append(window[i]['pitch'])223 x=np.linspace(1,12,12)224 fig,ax=plt.subplots()225 ax.errorbar(x, np.array(pmeans)-np.array(noms), yerr=np.array(perrs),226 fmt='o', ecolor='g', capthick=2)227 #pl.plot(x, y, 'k', color='#CC4F1B')228 ax.fill_between(x,-error, error,alpha=0.5, facecolor='#FF9848')229 #ax.set_xtickinterval(x[:-1])230 ax.set_xticks(x)231 ax.set_xticklabels(wnums)232 ax.set_title(title2)233 ax.set_xlabel('Window Number')234 ax.set_xlim([0,13])235 ax.set_ylim([-15,15])236 ax.set_ylabel('Mean Width - Nominal Width, $\mu$m')237 fig.show()238 #return noms239 240 #rear window - angle vs. expected values241 #wnums=[window[i]['number'] for i in range(0,12)]242 ameds=[np.abs(window[i]['amean']) for i in range(12,24)]243 aerrs=[window[i]['avar'] for i in range(12,24)]244 noms=[window[i]['nangle'] for i in range(12,24)]245 x=np.linspace(1,12,12)246 fig,ax=plt.subplots()247 ax.errorbar(x, ameds, yerr=aerrs,248 fmt='o', ecolor='g', capthick=2,label='Mean Value')249 ax.scatter(x,np.abs(np.array(noms)),color='r',marker='v',s=40,label='Nominal Value')250 #pl.plot(x, y, 'k', color='#CC4F1B')251 #ax.fill_between(x,noms-error, noms+error,alpha=0.5, facecolor='#FF9848')252 #ax.set_xtickinterval(x[:-1])253 ax.set_xticks(x)254 ax.set_xticklabels(wnums)255 ax.set_title(title2)256 ax.set_xlabel('(Rear) Window Number')257 ax.set_xlim([0,13])258 ax.set_ylim([44.25,45.75])# ax.set_ylim([44.25,46.75])259 ax.set_ylabel('Absolute Value of Slat Orientation in degrees')260 #ax.legend()261 fig.show()262 return window263def rv(value):264 return str(np.round([value],decimals=4)[0])265def dict2tex(window,filename=False):266 front=window[:12]267 rear=window[12:]268 fwlines,falines,rwlines,ralines=[],[],[],[]269 window_numbers=['11','21','12','22','31','41','32','42','33','43','34','44']270 for i,j,win in zip(front,rear,window_numbers):271 fwline=win+' & & '+rv(i['pmean'])+' & '+rv(i['pmed'])+' & '+rv(i['pvar'])+' & '272 faline=rv(i['amean'])+' & '+rv(i['amed'])+' & '+rv(i['avar'])+' & '273 rwline=rv(j['pmean'])+' & '+rv(j['pmed'])+' & '+rv(j['pvar'])+' & '274 raline=rv(j['amean'])+' & '+rv(j['amed'])+' & '+rv(j['avar'])+' \\'275 fwlines.append(fwline)276 falines.append(faline)277 rwlines.append(rwline)278 ralines.append(raline)279 280 lines=[fwlines[i]+falines[i]+rwlines[i]+ralines[i] for i in range(0,len(fwlines))]281 os.chdir('../')282 if not filename:283 filename='results_table.txt'284 with open(filename,'wb') as f:285 f.write('\n'.join(lines))...
script.py
Source:script.py
1import concurrent.futures2import sys3import argparse4import requests5import re6from colorama import Fore, Style7import time8# arguments9parser_arg_menu = argparse.ArgumentParser(prog='tool', formatter_class=lambda prog: argparse.HelpFormatter(prog, max_help_position=40)10)11parser_arg_menu.add_argument(12"-e" , "--endpoints" , help="File contain subdomains Ex: endpoints.txt",13metavar=""14)15parser_arg_menu.add_argument(16"-o", "--output" ,help="Output results in file", 17metavar=""18)19arg_menu = parser_arg_menu.parse_args()20endpoints_file = arg_menu.endpoints21output_file = arg_menu.output22# Reading givien input file and add =FUZZ then output it.23def readFile(filePath, output):24 with open(filePath, 'r') as file:25 for line in file:26 if '=' in line:27 patern = re.sub(r'=[a-zA-Z0-9%\-_.+:/]{0,}', '=FUZZ', line)28 print(patern, file=open(output, "a"))29 else:30 pass31# Sorting and delete duplicated lines32def sorting(output):33 with open(output) as resultx:34 uniqlines = set(resultx.readlines())35 delemptylines = filter(lambda x: not x.isspace(), uniqlines)36 with open(output, 'w') as final_file:37 final_file.writelines(set(delemptylines))38# Threading39def Thread(vuln):40 myList = open(output_file).readlines()41 with concurrent.futures.ThreadPoolExecutor() as executor:42 futures = []43 for url in myList:44 futures.append(executor.submit(vuln, url))45 for future in concurrent.futures.as_completed(futures):46 #print(future.result())47 pass48def testSQLI(url, timeout=10):49 r1 = requests.get(url, timeout)50 re1 = (len(r1.text))51 x = url.replace("FUZZ", "'")52 r2 = requests.get(x)53 re2 = (len(r2.text))54 if re2 < re1:55 print(Fore.GREEN + '[*] Vulnerable to SQLI => ' + Fore.YELLOW +url, end='')56 else:57 pass58def testXSS(url, timeout=10):59 x = url.replace('FUZZ', ">bat\"man/<'")60 r = requests.get(x, timeout)61 if ">bat\"man/<'" in r.text:62 print(Fore.GREEN + '[*] Vulnerable to XSS => ' + Fore.YELLOW +url, end='')63 else:64 pass65def testLFI(url, timeout=10):66 linux = url.replace('FUZZ', '../../../../../../../../../../../../../../../../../../../proc/version')67 linuxR = requests.get(linux, timeout)68 if "gcc" in linuxR.text:69 print(Fore.GREEN + '[*] Vulnerable to LFI (Linux) => ' + Fore.YELLOW +url, end='')70 else:71 pass72 x = url73 windows = x.replace('FUZZ', "C:/Windows/win.ini")74 try:75 windowsR = requests.get(windows)76 if "[Mail]" in windowsR.text:77 print(Fore.GREEN + '[*] Vulnerable to LFI (Windows) => ' + Fore.YELLOW +url, end='')78 79 except Exception as error:80 print(error)81if __name__=='__main__':82 try:83 if arg_menu.endpoints:84 t1 = time.perf_counter()85 86 print(Style.BRIGHT + Fore.RED + '''87 ___ ______ _____88 / |/_ __/ /__ /89 / /| | / / / / 90 / ___ |/ / / / 91 /_/ |_/_/_____ /_/ 92 /_____/93''')94 print(Fore.YELLOW + ''' CODED BY : A.Tarek95''')96 #Running Functions97 readFile(endpoints_file, output_file)98 sorting(output_file)99 print(Fore.CYAN + "[#]Testing LFI[#]")100 Thread(testLFI)101 print(Fore.CYAN + "[#]Testing SQLI[#]")102 Thread(testSQLI)103 print(Fore.CYAN + "[#]Testing XSS[#]")104 Thread(testXSS)105 t2 = time.perf_counter() - t1106 print(f'Total time taken: {t2:0.2f} seconds')107 else:108 print(Fore.YELLOW + '[*] Usage: python3 script.py -e endpoints.txt -o output.txt')109 except:...
one.py
Source:one.py
1print('''Ð¯ÐºÑ ÐС ви викоÑиÑÑовÑÑÑе?21 - windowsr32 - windowsXP43 - windowsVista''')5os = input('ÐведÑÑÑ ÑиÑло, Ñке вÑдповÑÐ´Ð°Ñ Ð²ÑдповÑдÑ: ')6os = os.rstrip('\r')7if os == '1' :8 print('Ðи вибÑали Windows 7 ')9elif os == '2':10 print('Ðи вибÑали Windows XP ')11 12elif os == '3':13 print('Ðи вибÑали Windows Vista ')14else:...
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