Python ValueError: not enough values to unpack (expected 3, got 1) - python
i tried writing this code but had an error. used windows 10 and python 3.8.5
#usage
#python3 coex.py combo.txt extracted.txt
from sys import argv
import re
script , combo_file , ex_file = argv
cfile = open(combo_file)
xfile = open(ex_file, 'w')
def rexmail(cfile):
rexmail = re.compile(r'[a-zA-Z0-9_.+-]+#[a-zA-Z0-9.-]+:[a-zA-Z0-9._-]+')
cfile = rexmail.findall(cfile.read())
lenofclist = len(cfile)
for i in range(lenofclist):
xfile.write("\n")
xfile.write(str(cfile[i]))
print("[+]*********EXTRACTING DONE***********[+]\n")
print("[+]*********CHECK extracted.txt FILE FOR EMAIL:PASS COMBOS*************[+]\n")
def header():
print('''
made with <3
_______ ___ ___ _________ ________ ________ ________ _________ ________ ________
|\ ___ \ |\ \ / /| |\___ ___\ |\ __ \ |\ __ \ |\ ____\ |\___ ___\ |\ __ \ |\ __ \
\ \ __/| \ \ \/ / / \|___ \ \_| \ \ \|\ \ \ \ \|\ \ \ \ \___| \|___ \ \_| \ \ \|\ \ \ \ \|\ \
\ \ \_|/__ \ \ / / \ \ \ \ \ _ _\ \ \ __ \ \ \ \ \ \ \ \ \ \\\ \ \ \ _ _\
\ \ \_|\ \ / \/ \ \ \ \ \ \\ \| \ \ \ \ \ \ \ \____ \ \ \ \ \ \\\ \ \ \ \\ \|
\ \_______\ / /\ \ \ \__\ \ \__\\ _\ \ \__\ \__\ \ \_______\ \ \__\ \ \_______\ \ \__\\ _\
\|_______| /__/ /\ __\ \|__| \|__|\|__| \|__|\|__| \|_______| \|__| \|_______| \|__|\|__|
|__|/ \|__|
EMAIL:PASS extractor from any txt file .
''')
header()
rexmail(cfile)
Error:
Traceback (most recent call last):
File "C:\Users\BRS\Desktop\minecraft\Combo-Extractor-master\coex.py", line 8, in <module>
script , combo_file , ex_file = argv
ValueError: not enough values to unpack (expected 3, got 1)
I dont really get what's off. please help me by correcting this code. and if possible tell me why this happens
is it a problem with tuples or what pls help with this
argv actually return a list whose first element (i.e. index 0 element) is the location of the python file. To correct this error, use
script, combo_file, ex_file = argv[1:]
Alternatively, you can also use _, script, combo_file, ex_file = argv
Relevant Documentation - https://docs.python.org/3/library/sys.html
(Tested on Windows 10 (64 Bit) Python 3.7.4)
Related
pyfiglet issues in printing ascii art
PROBLEM 1: how can i remove these external text parts from my ASCII text in python (i am using pyfiglet ) ? it appears well in VScode terminal but when i run it from python shell it just appear so bad like this : ←[33m___________________________________________________←[0m ←[34m ____ _ _ __ __ ______ / __ \(_)___ ____ _ (_) /_ / / \ \ \ \ / /_/ / / __ \/ __ `/ / / __/ / / \ \ \ \ / _, _/ / / / / /_/ / / / /_ /_/ / / / / /_/ |_/_/_/ /_/\__, / /_/\__/ (_) /_/_/_/ /____/ ←[33m←[0m ←[33m___________________________________________________←[0m ←[32m<<< WELCOME TO RING IT APPLICATION >>> ←[0m←[31m Please enter how many alarms you want to set ? ←[0m ←[95m>>> here is the header code : ascii_art = pyfiglet.figlet_format("Ring it ! >>>" , font="slant") + colorama.Fore.YELLOW ascii_art_colored = colored(ascii_art , "blue") print(colored("___________________________________________________" , "yellow")) print("\n\n" +ascii_art_colored + "\n") print(colored("___________________________________________________" , "yellow")+"\n\n") print(colored("<<< WELCOME TO RING IT APPLICATION >>>\n" , "green") + colored("\n\nPlease enter how many alarms you want to set ? \n\n" , "red")) i want to remove these ( ←[33m ←[0m ←[32 ) and it appear like this : ___________________________________________________ ____ _ _ __ __ ______ / __ \(_)___ ____ _ (_) /_ / / \ \ \ \ / /_/ / / __ \/ __ `/ / / __/ / / \ \ \ \ / _, _/ / / / / /_/ / / / /_ /_/ / / / / /_/ |_/_/_/ /_/\__, / /_/\__/ (_) /_/_/_/ /____/ ___________________________________________________ <<< WELCOME TO RING IT APPLICATION >>> Please enter how many alarms you want to set ? PROBLEM 2 : also i have an issue with it color ... it just get cmd theme color not that color i set for it with termcolor2 or colorama ...
Name: 'carbs' is not defined
Here is my python code: def output(carbs, fat, pro, fiber): carbs = carbs*4 pro = pro*4 fat = fat*9 fiber = fiber*4 final = carbs + fat + pro - fiber if(final >= 500): print("Food: ", "Total Calories: ", final) elif(final < 100): print("Food: Salad", "Total Calories: ", final) elif(final < 500 and final <= 100): print("Food: Hamburger", "Total Calories: ", final) def main(): print('''___________ .___ _________ .__ .__ __ \_ _________ ____ __| _/ \_ ___ \_____ | | ____ __ __| | _____ _/ |_ ___________ | __)/ _ \ / _ \ / __ | / \ \/\__ \ | | _/ ___\| | | | \__ \\ __/ _ \_ __ \ | \( <_> ( <_> / /_/ | \ \____/ __ \| |_\ \___| | | |__/ __ \| |( <_> | | \/ \___ / \____/ \____/\____ | \______ (____ |____/\___ |____/|____(____ |__| \____/|__| \/ \/ \/ \/ \/ \/ ''') print("ADD CARBOHYDRATES, FAT, PROTEIN, AND FIBER") carbs_input = int(input("Carbohydrate content: ")) fat_input = int(input("Fat content: ")) pro_input = int(input("Protein content: ")) fiber_input = int(input("Fiber content: ")) output(carbs, fat, pro, fiber) main() Python is telling me that output(carbs, fat, pro, fiber) is not defined. Namely 'carbs'. I think it has to do with the output function. Any thoughts?
Where are you unclear? Your call to output uses four variables, none of which is defined in that scope. You define variables carbs_input, fat_input, pro_input, fiber_input, but those are the only ones. Try using the variables you defined, instead of those "ghost" variables. output(carbs_input, fat_input, pro_input, fiber_input)
How can I convert this Python2.x code to Python3.x?
File "gridworld.py", line 19, in <module> import util File "/home/user/Desktop/reinforcement/util.py", line 23 fixedState = (3, 2147483648L, 507801126L, 683453281L, 310439348L, 2597246090L, \ ^ SyntaxError: invalid syntax class FixedRandom: def __init__(self): fixedState = (3, (2147483648L, 507801126L, 683453281L, 310439348L, 2597246090L, \ 2209084787L, 2267831527L, 979920060L, 3098657677L, 37650879L, 807947081L, 3974896263L, \ 881243242L, 3100634921L, 1334775171L, 3965168385L, 746264660L, 4074750168L, 500078808L, \ 776561771L, 702988163L, 1636311725L, 2559226045L, 157578202L, 2498342920L, 2794591496L, \ 4130598723L, 496985844L, 2944563015L, 3731321600L, 3514814613L, 3362575829L, 3038768745L, \ 2206497038L, 1108748846L, 1317460727L, 3134077628L, 988312410L, 1674063516L, 746456451L, \ 3958482413L, 1857117812L, 708750586L, 1583423339L, 3466495450L, 1536929345L, 1137240525L, \ 3875025632L, 2466137587L, 1235845595L, 4214575620L, 3792516855L, 657994358L, 1241843248L, \ 1695651859L, 3678946666L, 1929922113L, 2351044952L, 2317810202L, 2039319015L, 460787996L, \ 3654096216L, 4068721415L, 1814163703L, 2904112444L, 1386111013L, 574629867L, 2654529343L, \ 3833135042L, 2725328455L, 552431551L, 4006991378L, 1331562057L, 3710134542L, 303171486L, \ 1203231078L, 2670768975L, 54570816L, 2679609001L, 578983064L, 1271454725L, 3230871056L, \ 2496832891L, 2944938195L, 1608828728L, 367886575L, 2544708204L, 103775539L, 1912402393L, \ 1098482180L, 2738577070L, 3091646463L, 1505274463L, 2079416566L, 659100352L, 839995305L, \ 1696257633L, 274389836L, 3973303017L, 671127655L, 1061109122L, 517486945L, 1379749962L, \ 3421383928L, 3116950429L, 2165882425L, 2346928266L, 2892678711L, 2936066049L, 1316407868L, \ 2873411858L, 4279682888L, 2744351923L, 3290373816L, 1014377279L, 955200944L, 4220990860L, \ 2386098930L, 1772997650L, 3757346974L, 1621616438L, 2877097197L, 442116595L, 2010480266L, \ 2867861469L, 2955352695L, 605335967L, 2222936009L, 2067554933L, 4129906358L, 1519608541L, \ 1195006590L, 1942991038L, 2736562236L, 279162408L, 1415982909L, 4099901426L, 1732201505L, \ 2934657937L, 860563237L, 2479235483L, 3081651097L, 2244720867L, 3112631622L, 1636991639L, \ 3860393305L, 2312061927L, 48780114L, 1149090394L, 2643246550L, 1764050647L, 3836789087L, \ 3474859076L, 4237194338L, 1735191073L, 2150369208L, 92164394L, 756974036L, 2314453957L, \ 323969533L, 4267621035L, 283649842L, 810004843L, 727855536L, 1757827251L, 3334960421L, \ 3261035106L, 38417393L, 2660980472L, 1256633965L, 2184045390L, 811213141L, 2857482069L, \ 2237770878L, 3891003138L, 2787806886L, 2435192790L, 2249324662L, 3507764896L, 995388363L, \ 856944153L, 619213904L, 3233967826L, 3703465555L, 3286531781L, 3863193356L, 2992340714L, \ 413696855L, 3865185632L, 1704163171L, 3043634452L, 2225424707L, 2199018022L, 3506117517L, \ 3311559776L, 3374443561L, 1207829628L, 668793165L, 1822020716L, 2082656160L, 1160606415L, \ 3034757648L, 741703672L, 3094328738L, 459332691L, 2702383376L, 1610239915L, 4162939394L, 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919910444L, \ 1318414447L, 3383806712L, 3054941722L, 3378649942L, 1205735655L, 1268136494L, 2214009444L, \ 2532395133L, 3232230447L, 230294038L, 342599089L, 772808141L, 4096882234L, 3146662953L, \ 2784264306L, 1860954704L, 2675279609L, 2984212876L, 2466966981L, 2627986059L, 2985545332L, \ 2578042598L, 1458940786L, 2944243755L, 3959506256L, 1509151382L, 325761900L, 942251521L, \ 4184289782L, 2756231555L, 3297811774L, 1169708099L, 3280524138L, 3805245319L, 3227360276L, \ 3199632491L, 2235795585L, 2865407118L, 36763651L, 2441503575L, 3314890374L, 1755526087L, \ 17915536L, 1196948233L, 949343045L, 3815841867L, 489007833L, 2654997597L, 2834744136L, \ 417688687L, 2843220846L, 85621843L, 747339336L, 2043645709L, 3520444394L, 1825470818L, \ 647778910L, 275904777L, 1249389189L, 3640887431L, 4200779599L, 323384601L, 3446088641L, \ 4049835786L, 1718989062L, 3563787136L, 44099190L, 3281263107L, 22910812L, 1826109246L, \ 745118154L, 3392171319L, 1571490704L, 354891067L, 815955642L, 1453450421L, 940015623L, \ 796817754L, 1260148619L, 3898237757L, 176670141L, 1870249326L, 3317738680L, 448918002L, \ 4059166594L, 2003827551L, 987091377L, 224855998L, 3520570137L, 789522610L, 2604445123L, \ 454472869L, 475688926L, 2990723466L, 523362238L, 3897608102L, 806637149L, 2642229586L, \ 2928614432L, 1564415411L, 1691381054L, 3816907227L, 4082581003L, 1895544448L, 3728217394L, \ 3214813157L, 4054301607L, 1882632454L, 2873728645L, 3694943071L, 1297991732L, 2101682438L, \ 3952579552L, 678650400L, 1391722293L, 478833748L, 2976468591L, 158586606L, 2576499787L, \ 662690848L, 3799889765L, 3328894692L, 2474578497L, 2383901391L, 1718193504L, 3003184595L, \ 3630561213L, 1929441113L, 3848238627L, 1594310094L, 3040359840L, 3051803867L, 2462788790L, \ 954409915L, 802581771L, 681703307L, 545982392L, 2738993819L, 8025358L, 2827719383L, \ 770471093L, 3484895980L, 3111306320L, 3900000891L, 2116916652L, 397746721L, 2087689510L, \ 721433935L, 1396088885L, 2751612384L, 1998988613L, 2135074843L, 2521131298L, 707009172L, \ 2398321482L, 688041159L, 2264560137L, 482388305L, 207864885L, 3735036991L, 3490348331L, \ 1963642811L, 3260224305L, 3493564223L, 1939428454L, 1128799656L, 1366012432L, 2858822447L, \ 1428147157L, 2261125391L, 1611208390L, 1134826333L, 2374102525L, 3833625209L, 2266397263L, \ 3189115077L, 770080230L, 2674657172L, 4280146640L, 3604531615L, 4235071805L, 3436987249L, \ 509704467L, 2582695198L, 4256268040L, 3391197562L, 1460642842L, 1617931012L, 457825497L, \ 1031452907L, 1330422862L, 4125947620L, 2280712485L, 431892090L, 2387410588L, 2061126784L, \ 896457479L, 3480499461L, 2488196663L, 4021103792L, 1877063114L, 2744470201L, 1046140599L, \ 2129952955L, 3583049218L, 4217723693L, 2720341743L, 820661843L, 1079873609L, 3360954200L, \ 3652304997L, 3335838575L, 2178810636L, 1908053374L, 4026721976L, 1793145418L, 476541615L, \ 973420250L, 515553040L, 919292001L, 2601786155L, 1685119450L, 3030170809L, 1590676150L, \ 1665099167L, 651151584L, 2077190587L, 957892642L, 646336572L, 2743719258L, 866169074L, \ 851118829L, 4225766285L, 963748226L, 799549420L, 1955032629L, 799460000L, 2425744063L, \ 2441291571L, 1928963772L, 528930629L, 2591962884L, 3495142819L, 1896021824L, 901320159L, \ 3181820243L, 843061941L, 3338628510L, 3782438992L, 9515330L, 1705797226L, 953535929L, \ 764833876L, 3202464965L, 2970244591L, 519154982L, 3390617541L, 566616744L, 3438031503L, \ 1853838297L, 170608755L, 1393728434L, 676900116L, 3184965776L, 1843100290L, 78995357L, \ 2227939888L, 3460264600L, 1745705055L, 1474086965L, 572796246L, 4081303004L, 882828851L, \ 1295445825L, 137639900L, 3304579600L, 2722437017L, 4093422709L, 273203373L, 2666507854L, \ 3998836510L, 493829981L, 1623949669L, 3482036755L, 3390023939L, 833233937L, 1639668730L, \ 1499455075L, 249728260L, 1210694006L, 3836497489L, 1551488720L, 3253074267L, 3388238003L, \ 2372035079L, 3945715164L, 2029501215L, 3362012634L, 2007375355L, 4074709820L, 631485888L, \ 3135015769L, 4273087084L, 3648076204L, 2739943601L, 1374020358L, 1760722448L, 3773939706L, \ 1313027823L, 1895251226L, 4224465911L, 421382535L, 1141067370L, 3660034846L, 3393185650L, \ 1850995280L, 1451917312L, 3841455409L, 3926840308L, 1397397252L, 2572864479L, 2500171350L, \ 3119920613L, 531400869L, 1626487579L, 1099320497L, 407414753L, 2438623324L, 99073255L, \ 3175491512L, 656431560L, 1153671785L, 236307875L, 2824738046L, 2320621382L, 892174056L, \ 230984053L, 719791226L, 2718891946L, 624L), None) self.random = random.Random() self.random.setstate(fixedState) fixedState = (3, (2147483648L, 507801126L, 683453281L, 310439348L, 2597246090L, \ ^ SyntaxError: invalid syntax
There is no trailing L needed to define an integer in Python3, which you are using in your code. You need to hence remove the trailing L from your integers and define that without that. From the docs: https://docs.python.org/3/whatsnew/3.0.html Integer literals no longer support a trailing l or L. In [11]: a = 1 In [12]: a = 1L File "<ipython-input-12-61aa3f5b6495>", line 1 a = 1L ^ SyntaxError: invalid syntax
Python 2.7 | Insert a closing bracket for variables using RegEx
I have a file that contains: a[0 a[1 a[2 a[3 a[4 a[5 a[6 a[7 a[8 \ a[9 a[10 a[11 a[12 a[13 a[14 a[15 a[16 \ a[17 a[18 a[19 a[20 a[21 a[22 a[23 a[24 \ a[25 a[26 a[27 a[28 a[29 a[30 a[31 b[0 b[1 \ b[2 b[3 b[4 b[5 b[6 b[7 b[8 b[9 b[10 \ b[11 b[12 b[13 b[14 b[15 b[16 b[17 b[18 \ b[19 b[20 b[21 b[22 b[23 b[24 b[25 b[26 \ b[27 b[28 b[29 b[30 b[31 I want to insert a closing bracket for each variable. The numbers can grow for future variables. How can we do it using regex? Thanks in advance.
Using re.sub Ex: import re s = """a[0 a[1 a[2 a[3 a[4 a[5 a[6 a[7 a[8 \ a[9 a[10 a[11 a[12 a[13 a[14 a[15 a[16 \ a[17 a[18 a[19 a[20 a[21 a[22 a[23 a[24 \ a[25 a[26 a[27 a[28 a[29 a[30 a[31 b[0 b[1 \ b[2 b[3 b[4 b[5 b[6 b[7 b[8 b[9 b[10 \ b[11 b[12 b[13 b[14 b[15 b[16 b[17 b[18 \ b[19 b[20 b[21 b[22 b[23 b[24 b[25 b[26 \ b[27 b[28 b[29 b[30 b[31""" res = re.sub(r"([a-z]\[\d+)", r"\1]", s) print res Output: 'a[0] a[1] a[2] a[3] a[4] a[5] a[6] a[7] a[8] a[9] a[10] a[11] a[12] a[13] a[14] a[15] a[16] a[17] a[18] a[19] a[20] a[21] a[22] a[23] a[24] a[25] a[26] a[27] a[28] a[29] a[30] a[31] b[0] b[1] b[2] b[3] b[4] b[5] b[6] b[7] b[8] b[9] b[10] b[11] b[12] b[13] b[14] b[15] b[16] b[17] b[18] b[19] b[20] b[21] b[22] b[23] b[24] b[25] b[26] b[27] b[28] b[29] b[30] b[31]'
You don't need to use regex for it. Just use split and join: ' '.join(map(lambda x: f'{x}]', text.strip().split()))
You can use pattern: ([a-z]\[\d+) In Python: import re mystr = """ a[0 a[1 a[2 a[3 a[4 a[5 a[6 a[7 a[8 \ a[9 a[10 a[11 a[12 a[13 a[14 a[15 a[16 \ a[17 a[18 a[19 a[20 a[21 a[22 a[23 a[24 \ a[25 a[26 a[27 a[28 a[29 a[30 a[31 b[0 b[1 \ b[2 b[3 b[4 b[5 b[6 b[7 b[8 b[9 b[10 \ b[11 b[12 b[13 b[14 b[15 b[16 b[17 b[18 \ b[19 b[20 b[21 b[22 b[23 b[24 b[25 b[26 \ b[27 b[28 b[29 b[30 b[31 """ print(re.sub(r'([a-z]\[\d+)',r'\1]',mystr))
custom sorting for find command output
I'm trying to get sorted directory/file list with unix "find" command. # find . -type f . ./bin ./data ./data/disks ./inc ./inc/calls ./inc/calls/show ./inc/calls/show/system ./inc/calls/show/cli ./inc/calls/show/network ./inc/calls/show/stats ./inc/calls/services ./inc/calls/services/ntp ./inc/calls/services/tsa ./inc/calls/services/webgui ./inc/calls/services/engine ./inc/calls/system ./inc/calls/change ./inc/calls/change/password ./inc/calls/change/network ./inc/calls/disk ./inc/calls/disk/encr ./inc/etc I want to sort it like: ./inc/calls/show/system \ ./inc/calls/show/cli \ ./inc/calls/show/network \ ./inc/calls/show/stats \ ./inc/calls/services/ntp \ ./inc/calls/services/tsa \ ./inc/calls/services/webgui \ ./inc/calls/services/engine \ ./inc/calls/change/password \ ./inc/calls/change/network \ ./inc/calls/disk/encr \ ./inc/calls/system \ ./inc/calls/change \ ./inc/calls/services \ ./inc/calls/disk \ ./inc/calls/show \ ./inc/calls \ ./data/disks \ ./inc/etc \ ./bin \ ./data \ ./inc Which node (directory/file) has more child (directory/files) should be first... i want to do it with bash or python... What is the best way to do that?
Match lines containing / and prepend the number of fields to the line using / as the separator, sort on the numbers of fields and remove the count. $ awk -F/ '/\//{print NF,$0}' file | sort -nrk1 | cut -d' ' -f2- ./inc/calls/show/system ./inc/calls/show/stats ./inc/calls/show/network ./inc/calls/show/cli ./inc/calls/services/webgui ./inc/calls/services/tsa ./inc/calls/services/ntp ./inc/calls/services/engine ./inc/calls/disk/encr ./inc/calls/change/password ./inc/calls/change/network ./inc/calls/system ./inc/calls/show ./inc/calls/services ./inc/calls/disk ./inc/calls/change ./inc/etc ./inc/calls ./data/disks ./inc ./data ./bin
I would use python and try to convert: a/b a/c b/e/f b/e/g in something like: {'a': {'b': {}, 'c': {}}, 'b': {'e': {'f': {}, 'g': {}}}, } To achieve this: def add_list_to_dict(lst,d): key, lst = lst[0], lst[1:] if not key in d: d[key] = {} if lst: add_list_to_dict(lst,d[key]) d = {} for path in paths: add_list_to_dict(path.split('/'),d)