Regular Expression: Match Hex/Key Strings - regex

I have tried creating a regular expression myself to do this, but honestly my mind is so boggled with it right now that I must ask for help... This may be helpful for people in the future as well.
I have the following input templates:
06-6A-BF-05-AF-84-DF-A4-23-7C-BE-B4-6C-95-D7
JK1T-XTSRV-2HC4D-RP4S7-ZMKRG
I need to pick out strings like these two from an input string. An input string may look like this:
JK1T-XTSRV-2HC4D-RP4S7-ZMKRG
FDGF-A1S0M-5M8XJ-T08WC-BCZSJ
C6-6C-1C-17-B7-EE-BE-EA-E3-7C-EF-23-6C-12-F1
asdf234 ,f C6-324_EE
In this case, the following would be returned:
JK1T-XTSRV-2HC4D-RP4S7-ZMKRG, FDGF-A1S0M-5M8XJ-T08WC-BCZSJ, C6-6C-1C-17-B7-EE-BE-EA-E3-7C-EF-23-6C-12-F1
Thus, the regular expression would need to have the following restrictions to match a string:
15 two character (numbers or letters) pairs separated by -
5 four character (numbers or letters) pairs separated by -
What regular expression will match these?

You should use two regular expressions:
(\w{2}-){14}\w{2}
\w{4}-(\w{5}-){3}\w{5}
The second type is actually one four char and four five char.
Test 1:
http://fiddle.re/h3ve6
Test 2:
http://fiddle.re/3a5e6

Related

Can you restrict two characters based on their ASCII order in regex?

Let's say I have a string of 2 characters. Using regex (as a thought exercise), I want to accept it only if the first character has an ascii value bigger than that of the second character.
ae should not match because a is before e in the the ascii table.
ea, za and aA should match for the opposite reason
f$ should match because $ is before letters in the ascii table.
It doesn't matter if aa or a matches or not, I'm only interested in the base case. Any flavor of regex is allowed.
Can it be done ? What if we restrict the problem to lowercase letters only ? What if we restrict it to [abc] only ? What if we invert the condition (accept when the characters are ordered from smallest to biggest) ? What if I want it to work for N characters instead of 2 ?
I guess that'd be almost impossible for me to do it then, however bobble-bubble impressively solved the problem with:
^~*\}*\|*\{*z*y*x*w*v*u*t*s*r*q*p*o*n*m*l*k*j*i*h*g*f*e*d*c*b*a*`*_*\^*\]*\\*\[*Z*Y*X*W*V*U*T*S*R*Q*P*O*N*M*L*K*J*I*H*G*F*E*D*C*B*A*#*\?*\>*\=*\<*;*\:*9*8*7*6*5*4*3*2*1*0*\/*\.*\-*,*\+*\**\)*\(*'*&*%*\$*\#*"*\!*$(?!^)
bobble bubble RegEx Demo
Maybe for abc only or some short sequences we would approach solving the problem with some expression similar to,
^(abc|ab|ac|bc|a|b|c)$
^(?:abc|ab|ac|bc|a|b|c)$
that might help you to see how you would go about it.
RegEx Demo 1
You can simplify that to:
^(a?b?c?)$
^(?:a?b?c?)$
RegEx Demo 2
but I'm not so sure about it.
The number of chars you're trying to allow is irrelevant to the problem you are trying to solve:
because you can simply add an independent statement, if you will, for that, such as with:
(?!.{n})
where n-1 would be the number of chars allowed, which in this case would be
(?!.{3})^(?:a?b?c?)$
(?!.{3})^(a?b?c?)$
RegEx Demo 3
A regex is not the best tool for the job.
But it's doable. A naive approach is to enumerate all the printable ascii characters and their corresponding lower range:
\x21[ -\x20]|\x22[ -\x21]|\x23[ -\x22]|\x24[ -\x23]|\x25[ -\x24]|\x26[ -\x25]|\x27[ -\x26]|\x28[ -\x27]|\x29[ -\x28]|\x2a[ -\x29]|\x2b[ -\x2a]|\x2c[ -\x2b]|\x2d[ -\x2c]|\x2e[ -\x2d]|\x2f[ -\x2e]|\x30[ -\x2f]|\x31[ -\x30]|\x32[ -\x31]|\x33[ -\x32]|\x34[ -\x33]|\x35[ -\x34]|\x36[ -\x35]|\x37[ -\x36]|\x38[ -\x37]|\x39[ -\x38]|\x3a[ -\x39]|\x3b[ -\x3a]|\x3c[ -\x3b]|\x3d[ -\x3c]|\x3e[ -\x3d]|\x3f[ -\x3e]|\x40[ -\x3f]|\x41[ -\x40]|\x42[ -\x41]|\x43[ -\x42]|\x44[ -\x43]|\x45[ -\x44]|\x46[ -\x45]|\x47[ -\x46]|\x48[ -\x47]|\x49[ -\x48]|\x4a[ -\x49]|\x4b[ -\x4a]|\x4c[ -\x4b]|\x4d[ -\x4c]|\x4e[ -\x4d]|\x4f[ -\x4e]|\x50[ -\x4f]|\x51[ -\x50]|\x52[ -\x51]|\x53[ -\x52]|\x54[ -\x53]|\x55[ -\x54]|\x56[ -\x55]|\x57[ -\x56]|\x58[ -\x57]|\x59[ -\x58]|\x5a[ -\x59]|\x5b[ -\x5a]|\x5c[ -\x5b]|\x5d[ -\x5c]|\x5e[ -\x5d]|\x5f[ -\x5e]|\x60[ -\x5f]|\x61[ -\x60]|\x62[ -\x61]|\x63[ -\x62]|\x64[ -\x63]|\x65[ -\x64]|\x66[ -\x65]|\x67[ -\x66]|\x68[ -\x67]|\x69[ -\x68]|\x6a[ -\x69]|\x6b[ -\x6a]|\x6c[ -\x6b]|\x6d[ -\x6c]|\x6e[ -\x6d]|\x6f[ -\x6e]|\x70[ -\x6f]|\x71[ -\x70]|\x72[ -\x71]|\x73[ -\x72]|\x74[ -\x73]|\x75[ -\x74]|\x76[ -\x75]|\x77[ -\x76]|\x78[ -\x77]|\x79[ -\x78]|\x7a[ -\x79]|\x7b[ -\x7a]|\x7c[ -\x7b]|\x7d[ -\x7c]|\x7e[ -\x7d]|\x7f[ -\x7e]
Try it online!
A (better) alternative is to enumerate the ascii characters in reverse order and use the ^ and $ anchors to assert there is nothing else unmatched. This should work for any string length:
^\x7f?\x7e?\x7d?\x7c?\x7b?z?y?x?w?v?u?t?s?r?q?p?o?n?m?l?k?j?i?h?g?f?e?d?c?b?a?`?\x5f?\x5e?\x5d?\x5c?\x5b?Z?Y?X?W?V?U?T?S?R?Q?P?O?N?M?L?K?J?I?H?G?F?E?D?C?B?A?#?\x3f?\x3e?\x3d?\x3c?\x3b?\x3a?9?8?7?6?5?4?3?2?1?0?\x2f?\x2e?\x2d?\x2c?\x2b?\x2a?\x29?\x28?\x27?\x26?\x25?\x24?\x23?\x22?\x21?\x20?$
Try it online!
You may replace ? with * if you want to allow duplicate characters.
ps: some people can come up with absurdly long regexes when they aren't the right tool for the job: to parse email, html or the present question.

Spotfire: count the number of a certain character in a string

I am trying to add a new calculated column that counts the number of semi colons in a string and adds one to it. So the column i have contains a bunch of aliases and I need to know how many for each row.
For example,
A; B; C; D
So basically this means there are 4 aliases (3 semi colons + 1)
Need to do this for over 2 million rows. Help please!
Basic idea is to subtract length of your string without ; characters from it's original length:
len([columnName])-len(Substitute([columnName],";",""))+1
Here it is with a regular expression:
Len(RXReplace([Column 1], "(?!;).", "", "gis"))+1
RXReplace takes as arguments:
The string you are wanting to work on (in this case it is on Column 1)
The regular expression you want to use (here it is (?!;). )
What you want to replace matches with (blank in this situation so
that everything that matches the regex is removed)
Finally a parameter saying how you want it to work (we are passing
in gis which means replace all matches not just the first, ignore case, replace newlines)
We wrap this in a Len which gives us the amount of semicolons since that is all that is left and finally we add 1 to it to get the final result.
You can read more about the regular expression here: https://msdn.microsoft.com/en-us/library/az24scfc(v=vs.110).aspx but in a nutshell it says match everything that isn't a semi colon.
You can read more about RXReplace and Len here: https://docs.tibco.com/pub/spotfire/6.0.0-november-2013/userguide-webhelp/ncfe/ncfe_text_functions.htm

Regular expression to validate sum of numerics

I want to validate the user input,
it should accept,
1+2
1.2+56+3.5
it should not accept any alphabets, special characters other than . and +
and mainly it should not accept ++ and ..
please help me with regular expression.
This should work:
var regex = /^[0-9]+(\.[0-9]+)?(\+[0-9]+(\.[0-9]+)?)*$/;
"1+2".match(regex); // not null
"1.2+56+3.5".match(regex); // not null
"1++2".match(regex); // null
"1..2".match(regex); // null
online: http://regex101.com/r/zJ6tP7/1
Something like this should suffice
^([+]?\d+(\.\d+)?)*$
http://regex101.com/r/qE2kW1/2
Source: Validate mathematical expressions using regular expression?
Note that I'm assuming it should not accept .+ or +. as well. I'm not assuming that you require checking for multiple decimals prior to an addition, meaning this will accept 3.4.5 I'm also assuming you want it to start and end with numbers, so .5 and 4+ will fail.
(\d*[\.\+])*(\d)*
This takes any amount of number values, followed by a . or a +, any number of times, followed by any other number value.
To avoid things like 3.4.5 you'll likely need to use some sort of lookaround.
EDIT: Forgot to format regular expression.

Grep for Pattern in File in R

In a document, I'm trying to look for occurences of a 12-digit string which contains alpha and numerals. A sample string is: "PXB111X2206"
I'm trying to get the line numbers that contain this string in R using the below:
FileInput = readLines("File.txt")
prot_pattern="([A-Z0-9]{12})";
prot_string<-grep(prot_pattern,FileInput)
prot_string
This worked fine until it hit a document containing all upper-case titles and returned a line containing the word "CONCENTRATIO"
The string I am trying to look for is: "PXB111X2206". I am expecting the grep to return the line numbers containing the string : "PXB111X2206". It however is returning the line number containing the word: "CONCENTRATIO"
What is wrong with my expression above? Any idea what I am doing wrong here?
Here is some sample input:
Each design objective described herein is significantly important, yet it is just one aspect of what it takes to achieve a successful project.
A successful project is one where project goals are identified early on and where the >interdependencies of all building systems are coordinated concurrently from the planning and programming phase.
CONCENTRATION:
The areas of concentration for design objectives: accessible, aesthetics, cost effective, >functional/operational, historic preservation, productive, secure/safe, and sustainable and >their interrelationships must be understood, evaluated, and appropriately applied.
Each of these design objectives is presented in the design objectives document number. >PXB111X2206.
>
Thanks & Regards,
Simak
You are using a very powerful tool for a very simple task, the expression
[A-Z0-9]{12}
will match any alphanumeric 12 sized uppercased string, for example the word "CONCENTRATIO", however, your "PXB111X2206" is not even 12 symbols long, so it is not possible that is being matched. If you only want to match "PXB111X2206" you only have to use it as a regular expression itself, for example, if you file contents are:
foo
CONCENTRATIO.
bazz
foo bar bazz PXB111X2206 foo bar bazz
foo
bar
bazz
and you use:
grep('PXB111X2206',readLines("File.txt"))
then R will only match line 4 as you would wish.
EDIT
If you are looking for that specific pattern try:
grep('[A-Z]{3}[0-9]{3}[A-Z]{1}[0-9]{4}',readLines("File.txt"))
That expression will match strings like 'AAADDDADDDD' where A is an capital letter, and D a digit, the regular expression contains a group (symbols inside square brackets) and a quantifier (the number inside the brackets) that tells how many of the previous symbol will the expression accept, if no quantifier is present it assumes it is 1.
Let's take a look at what your regular expression means. [A-Z0-9] means any capitalized letter or number and {12} means the previous expression must occur exactly 12 times. The string CONCENTRATIO is 12 capitaized letters, so it's no surprise that grep picks it up. If you want to take out the matches that match to just letters or just numbers you could try something like
allleters <- grep("[A-Z]{12}",strings)
allnumbers <-grep("[0-9]{12}",strings)
both <- grep("[A-Z0-9]{12}",strings)
the matches you wanted would then be something like
both <- both[!both %in% union(allletters,allnumbers)]
Someone with better regexfu might have a more elegant solution, but this will work too.

Part of as string from a string using regular expressions

I have a string of 5 characters out of which the first two characters should be in some list and next three should be in some other list.
How could i validate them with regular expressions?
Example:
List for First two characters {VBNET, CSNET, HTML)}
List for next three characters {BEGINNER, EXPERT, MEDIUM}
My Strings are going to be: VBBEG, CSBEG, etc.
My regular expression should find that the input string first two characters could be either VB, CS, HT and the rest should also be like that.
Would the following expression work for you in a more general case (so that you don't have hardcoded values): (^..)(.*$)
- returns the first two letters in the first group, and the remaining letters in the second group.
something like this:
^(VB|CS|HT)(BEG|EXP|MED)$
This recipe works for me:
^(VB|CS|HT)(BEG|EXP|MED)$
I guess (VB|CS|HT)(BEG|EXP|MED) should do it.
If your strings are as well-defined as this, you don't even need regex - simple string slicing would work.
For example, in Python we might say:
mystring = "HTEXP"
prefix = mystring[0:2]
suffix = mystring[2:5]
if (prefix in ['HT','CS','VB']) AND (suffix in ['BEG','MED','EXP']):
pass # valid!
else:
pass # not valid. :(
Don't use regex where elementary string operations will do.