I have some credit card numbers with me and want to validate them over the below rules.
► It must only consist of digits (0-9)
► It may have digits in groups of 4, separated by one hyphen "-"
► It must NOT have 4 or more consecutive repeated digits
► It may contain exactly digits without any spaces
Input:
5123-4567-8912-3456
61234-567-8912-3456
4123356789123456
5133-3367-8912-3456
Output:
Valid
Invalid (because the card number is not divided into equal groups of 4)
Valid
Invalid (consecutive 33 33digits is repeating 4 times)
I have tried here and it works only if i include hyphen at the end. Can somebody give me a correct reg ex for it.
Edit:
Regex Code: ([0-9]{4}-){4}
Input to be matched 6244-5567-8912-3458
It doesn't match until I put hyphen at the end.
Edit
import re
import itertools
text="5133-3367-8912-3456"
print(len(text))
l=[(k, sum(1 for i in g)) for k,g in itertools.groupby(text)] #To calculate frequency of characters and later we can filter it with the condition v<=3 for checking the concurrency condition
if re.search(r'^[456]+',text) and len(text)==16 and re.search(r'[\d]',text) and all(v<=3 for k,v in l) and bool(re.search(r'\s',text)) is False and bool(re.search(r'[a-z]',text)) is False or( bool(re.search(r'-',text))is True and len(text)==19) :
print("it passed")
else :
print("False")
My solution has a 2-step logic. The reason you can not do this in one go, has to do with the limitations of python's re. We'll save that for later. If you're interested, look at Addendum 1.
2 steps: the first step will check if the '-' are in the right place, while the second one will check if there are not 4 consecutive equal numbers.
I will start with the 2nd step, the most memory-consuming one: a regex that checks if there are no consecutive 4 numbers. The following regex will do:
((\d)(?!\2{3})){16}
Explanation:
( # group 1 start
(\d) # group 2: match a digit
(?!\2{3}) # negative lookahead: not 3 times group 2
){16} # repeat that 16 times.
look at example 1
The first step would be matching groups of 4 digits, eventually separated by '-' (look at example 2) The problem to solve here, is to make sure that if first and second group digits is separated by a '-', then all groups need to be separated by a '-'. We manage to do that by using a backreference to group 2 in the next regex.
(\d{4})(-?)(\d{4})(\2\d{4}){2}
Explanation:
(\d{4}) # starting 4 digits
(-?) # group 2 contains a '-' or not
(\d{4}) # 2nd group of 4 digits
(\2\d{4}){2} # last 2 groups, starting with a backreference
# to group 2 ( a '-' or not)
Example program:
import re
pattern1 = r"(\d{4})(-?)(\d{4})(\2\d{4}){2}"
pattern2 = r"((\d)(?!\2{3})){16}"
tests = ["5123-4567-8912-3456"]
for elt in tests:
if re.match( pattern1, elt):
print "example has dashes in correct place"
elt = elt.replace("-", "")
if re.match(pattern2, elt):
print "...and has the right numbers."
Addendum: Now for desert. I've put a regex together to do this in one go. Let's think about what is needed for every digit depending on its position in a group:
So, for the lookahead we used in example 1, we need to present for each digit all possibilities of follow-ups. Let's have a look at a pattern for a group of 4 digits:
(
(\d) # the digit at hand
(?! # negative lookahead
\2{3} # digit, digit, digit
|\2{2}-\2 # OR digit, digit, dash, digit
|\2-\2{2} # OR digit, dash, digit, digit
|-\2{3} # OR dash, digit, digit, digit
)
){4} # 4 times, for each digit in a group of 4
We would like to expand that to 16 digits of course. We need to define if it's possible to add '-' before the digit. A simple -? won't do, because a creditcard doesn't start with a dash. Let's use alternation:
(? # if
(?<=\d{4}) # lookbehind: there are 4 preceding digits
-? # then: '-' or not
| # else: nothing
)
Combined, this brings us to:
\b((?(?<=\d{4})-?|)(\d)(?!\2{3}|\2{2}-\2|\2-\2{2}|-\2{3})){16}\b
Look at example 3. We need the \b on both sides because we want to make sure that, whenever the match succeeds, it matches the complete string.
Let's be fair: one has its doubts if this is the way to go. On the upside, we have a valid reason for doing it in 2 steps now: python's standard re doesn't support conditionals and what not. You can workaround this, by using a replacement. Or switch programming language. ;-)
Addendum 2: People asked me where the 16 comes from in example 3. Isn't it true that the complete string can be 19 characters long? The reason is whenever the inner regex (group 1) matches once, it matches with either [0-9] or -[0-9]. That match has to succeed exactly 16 times.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With