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Python ValueError: not enough values to unpack (expected 3, got 1)

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)

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, \
557861574L, 3805706338L, 3832520705L, 1248934879L, 3250424034L, 892335058L, 74323433L, \
3209751608L, 3213220797L, 3444035873L, 3743886725L, 1783837251L, 610968664L, 580745246L, \
4041979504L, 201684874L, 2673219253L, 1377283008L, 3497299167L, 2344209394L, 2304982920L, \
3081403782L, 2599256854L, 3184475235L, 3373055826L, 695186388L, 2423332338L, 222864327L, \
1258227992L, 3627871647L, 3487724980L, 4027953808L, 3053320360L, 533627073L, 3026232514L, \
2340271949L, 867277230L, 868513116L, 2158535651L, 2487822909L, 3428235761L, 3067196046L, \
3435119657L, 1908441839L, 788668797L, 3367703138L, 3317763187L, 908264443L, 2252100381L, \
764223334L, 4127108988L, 384641349L, 3377374722L, 1263833251L, 1958694944L, 3847832657L, \
1253909612L, 1096494446L, 555725445L, 2277045895L, 3340096504L, 1383318686L, 4234428127L, \
1072582179L, 94169494L, 1064509968L, 2681151917L, 2681864920L, 734708852L, 1338914021L, \
1270409500L, 1789469116L, 4191988204L, 1716329784L, 2213764829L, 3712538840L, 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))

What does this Python/SQL code do?

So if anyone is knowledgeable on Animal Shelter Manager, I'm looking for some help. I'm trying to figure out what each line of code means.. the first is
from animalcontrol.py
def get_animalcontrol_query(dbo):
return "SELECT ac.*, ac.ID AS ACID, s.SpeciesName, x.Sex AS SexName, " \
"co.OwnerName AS CallerName, co.HomeTelephone, co.WorkTelephone, co.MobileTelephone, " \
"o1.OwnerName AS OwnerName, o1.OwnerName AS OwnerName1, o2.OwnerName AS OwnerName2, o3.OwnerName AS OwnerName3, " \
"o1.OwnerName AS SuspectName, o1.OwnerAddress AS SuspectAddress, o1.OwnerTown AS SuspectTown, o1.OwnerCounty AS SuspectCounty, o1.OwnerPostcode AS SuspectPostcode, " \
"o1.HomeTelephone AS SuspectHomeTelephone, o1.WorkTelephone AS SuspectWorkTelephone, o1.MobileTelephone AS SuspectMobileTelephone, " \
"vo.OwnerName AS VictimName, vo.OwnerAddress AS VictimAddress, vo.OwnerTown AS VictimTown, vo.OwnerCounty AS VictimCounty, vo.OwnerPostcode AS VictimPostcode," \
"vo.HomeTelephone AS VictimHomeTelephone, vo.WorkTelephone AS VictimWorkTelephone, vo.MobileTelephone AS VictimMobileTelephone, " \
"ti.IncidentName, ci.CompletedName, pl.LocationName " \
"FROM animalcontrol ac " \
"LEFT OUTER JOIN species s ON s.ID = ac.SpeciesID " \
"LEFT OUTER JOIN lksex x ON x.ID = ac.Sex " \
"LEFT OUTER JOIN owner co ON co.ID = ac.CallerID " \
"LEFT OUTER JOIN owner o1 ON o1.ID = ac.OwnerID " \
"LEFT OUTER JOIN owner o2 ON o2.ID = ac.Owner2ID " \
"LEFT OUTER JOIN owner o3 ON o3.ID = ac.Owner3ID " \
"LEFT OUTER JOIN owner vo ON vo.ID = ac.VictimID " \
"LEFT OUTER JOIN pickuplocation pl ON pl.ID = ac.PickupLocationID " \
"LEFT OUTER JOIN incidenttype ti ON ti.ID = ac.IncidentTypeID " \
"LEFT OUTER JOIN incidentcompleted ci ON ci.ID = ac.IncidentCompletedID"
What does return "SELECT ac.*, ac.ID AS ACID, mean.
and if I wanted to differ this code from what it is currently what would I have to change. ei "ac." or "ACID"
I know I will have to change def get_animalcontrol_query(dbo):

The code you've referenced is selecting all the rows from the animalcontrol table and JOINING all the data that is also contained in the species, lksex, owner, pickuplocation, incidenttype, and incidentcompleted tables. Basically it is taking all the information from the animalcontrol table and looking for related information in each of the other tables, then returning all those results to the user. For more on 'LEFT OUTER JOIN' see: http://www.1keydata.com/sql/left-outer-join.html The query is also "aliasing" the column names http://www.w3schools.com/sql/sql_alias.asp so that the results make sense to the user.
If you want to change this code, you should learn some basic SQL so you understand what you are changing.

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)