I have the following Python regex pattern:
(?P<key>.*)(?P<operator><=>|=|>=|>|<=|<|!=|<>)(?P<value>.*)
and my input string example is: this!=that, but the != is not getting matched as a group:
{u'operator': '=', u'key': 'this!', u'value': 'that'}
Can you please help me match against the full operator != in this example using the above regex pattern with some explanation on why my original pattern did not work? Thank you in advance!
You need to use lazy matching with the first capturing group, otherwise, .* will "eat" the first symbol since it is greedy and can also match any symbols in your alternatives:
(?P<key>.*?)(?P<operator><=>|!=|>=|<=|<>|[=><])(?P<value>.*)
See demo
I have also rearranged the alternatives so that they go from the longest to the shortest. This might be important since regex is processing from left to right, and thus, we should check for the longest option first.
And the last three alternatives can be shrunk into a character class [=><] to lessen the backtracking.
Related
What I am trying to do is match values from one file to another, but I only need to match the first portion of the string and the last portion.
I am reading each file into a list, and manipulating these based on different Regex patterns I have created. Everything works, except when it comes to these type of values:
V-1\ZDS\R\EMBO-20-1:24
V-1\ZDS\R\EMBO-20-6:24
In this example, I only want to match 'V-1\ZDS\R\EMBO-20' and then compare the '24' value at the end of the string. The number x in '20-x:', can vary and doesn't matter in terms of comparisons, as long as the first and last parts of this string match.
This is the Regex I am using:
re.compile(r"(?:.*V-1\\ZDS\\R\\EMBO-20-\d.*)(:\d*\w.*)")
Once I filter down the list, I use the following function to return the difference between the two sets:
funcDiff = lambda x, y: list((set(x)- set(y))) + list((set(y)- set(x)))
Is there a way to take the list of differences and filter out the ones that have matching values after the
:
as mentioned above?
I apologize is this is an obvious answer, I'm new to Python and Regex!
The output I get is the differences between the entire strings, so even if the first and last part of the string match, if the number following the 'EMBO-20-x' doesn't also match, it returns it as being different.
Before discussing your question, regex101 is an incredibly useful tool for this type of thing.
Your issue stems from two issues:
1.) The way you used .*
2.) Greedy vs. Nongreedy matches
.* kinda sucks
.* is a regex expression that is very rarely what you actually want.
As a quick aside, a useful regex expression is [^c]* or [^c]+. These expressions match any character except the letter c, with the first expression matching 0 or more, and the second matched 1 or more.
.* will match all characters as many times as it can. Instead, try to start your regex patterns with more concrete starting points. Two good ways to do this are lookbehind expressions and anchors.
Another quick aside, it's likely that you are misusing regex.match and regex.find. match will only return a match that begins at the start of the string, while find will return matches anywhere in the input string. This could be the reason you included the .* in the first place, to allow a .match call to return a match deeper in the string.
Lookbehind Expressions
There are more complete explanations online, but in short, regex patterns like:
(?<=test)foo
will match the text foo, but only if test is right in front of it. To be more clear, the following strings will not match that regex:
foo
test-foo
test foo
but the following string will match:
testfoo
This will only match the text foo, though.
Anchors
Another option is anchors. ^ and $ are special characters, matching the start and end of a line of text. If you know your regex pattern will match exactly one line of text, start it with ^ and end it with $.
Leading patterns with .* and ending with .* are likely the source of your issue. Although you did not include full examples of your input or your code, you likely used match as opposed to find.
In regex, . matches any character, and * means 0 or more times. This means that for any input, your pattern will match the entire string.
Greedy vs. Non-Greedy qualifiers
The second issue is related to greediness. When your regex patterns have a * in them, they can match 0 or more characters. This can hide problems, as entire * expressions can be skipped. Your regex is likely matched several lines of text as one match, and hiding multiple records in a single .*.
The Actual Answer
Taking all of this in to consideration, let's assume that your input data looks like this:
V-1\ZDS\R\EMBO-20-1:24
V-1\ZDS\R\EMBO-20-6:24
V-1\ZDS\R\EMBO-20-3:93
V-1\ZDS\R\EMBO-20-6:22309
V-1\ZDS\R\EMBO-20-8:2238
V-1\ZDS\R\EMBO-20-3:28
A better regular expression would be:
^V-1\\ZDS\\R\\EMBO-20-\d:(\d+)$
To visualize this regex in action, follow this link.
There are several differences I would like to highlight:
Starting the expression with ^ and ending with $. This forces the regex to match exactly one line. Even though the pattern works without these characters, it's good practice when working with regex to be as explicit as possible.
No useless non-capturing group. Your example had a (?:) group at the start. This denotes a group that does not capture it's match. It's useful if you want to match a subpattern multiple times ((?:ab){5} matches ababababab without capturing anything). However, in your example, it did nothing :)
Only capturing the number. This makes it easier to extract the value of the capture groups.
No use of *, one use of +. + works like *, but it matches 1 or more. This is often more correct, as it prevents 'skipping' entire characters.
Here is a list of input strings:
"collect_project_stage1_20220927_foot60cm_arm70cm_height170cm_......",
"collect_project_version_1_0927_foot60cm_height170cm_......",
"collect_project_ver1_20220927_arm70cm_height170cm_......",
These input strings are provided by many different users.
Leading "collect_" is fixed, and then follows "${project_version}" which doesn't have hard rule to set this variable, the naming will be very different by different users.
Then, there will be repeating "${part}${length}cm_.......", but the number of repeatence is not fixed.
I'd like to capture the the variable ${project_version}.
Then, I try using the following re.match to capture it.
re.match(r'collect_(.*)_(?:(?:foot|arm|height)\d+cm_)+.*' , string)
However, the result is not as expected.
Is there anyone give me a hint that what's wrong in my regular expression?
Assuming you were only planning to capture the part preceding the various cm suffixed components, the reason you're capturing so many of them instead of just checking and discarding them is that regexes are greedy by default.
You can narrow your capture group to only match what you really expect (e.g. just a name followed by a date), replacing (.*) with something like ((?:[a-z]+[0-9]*_)*\d{8}).
Alternatively, you can be lazy and enable non-greedy matching for the capture group, changing (.*) to (.*?) where the ? says to only take the minimal amount required to satisfy the regex. The latter is more brittle, but if you really can't impose any other restrictions on the expression for the capture group, it's what you've got.
Use a non-greedy quantifier. Otherwise, the capture group will match as far as it can, so it will keep going until the last match for (?:foot|arm|height)\d+cm_).
result = re.match(r'collect_(.*?)_(?:(?:foot|arm|height)\d+cm_)+' , string)
print(result.group(1)) # project_stage1_20220927
The regex "(.*)" will capture far too much.
re.match(r'collect_([a-z0-9]+_[a-z0-9]+_[a-z0-9]+)_(?:(?:foot|arm|height)\d+cm_)+' , string)
I have updated the following re to not match when the string is B/C, B/O, S/C, or S/O.
old (.*)/(.*)
new: (.*)(?<!^(B|S)(?=/(C|O)$))/(.*)
This regex is being used downstream with a list of other regex patterns and is expected to separate the data into two groups. Is there a way for my regex pattern (or a better one) to not count the zero-width assertions?
I've tried pushing the validation till the end with a single lookbehind assertion but that only has access to the group after the slash.
I've also tried enclosing the assertions in (?:...) but inner parenthesis are still counted towards matching groups.
Thanks to #user2357112
(.*)(?<!^(?:B|S)(?=/(?:C|O)$))/(.*)
I was using (?:...) incorrectly on my first attempts
I am currently using Python 2.7 (I'm working with some old code of mine). And I am trying to get all words via regex, where I can ignore words with apostrophes, like can't and Gary's. So far I have made all letters in the string lowercase and here's my current regex:
r"(?<=\s|^)([a-z]+)(?=\s|$)"
I get the following error:
raise error, v # invalid expression
error: look-behind requires fixed-width pattern
I also tried:
r"(?:\s|^)([a-z]+)(?=\s|$)"
But, as you can see on Regex101, it doesn't capture the last word.
I know that there are probably better alternatives to doing this, but now I am really curious as to how to do a negative look behind in this situation. However, if you could explain that and offer your own better solution, that'd be fine and appreciated.
In this case, just use a negative lookbehind with the opposite character class \S (same can be done with the lookahead):
r"(?<!\S)([a-z]+)(?!\S)"
See the regex demo.
A "positive" approach will look less pretty:
r"(?:(?<=\s)|^)([a-z]+)(?=\s|$)"
See another regex demo. The (?:(?<=\s)|^) non-capturing group combines 2 zero-width assertion alternatives, (?<=\s) that requires a whitespace before the current location, and ^, matching the start of string.
I am having a hard time understanding regular expression pattern. Could someone help me regular expression pattern to match all words ending in s. And start with a and end with a (like ana).
How do I write ending?
Word boundaries are given by \b so the following regex matches words ending with ing or s: "\b(\w+?(?:ing|s))\b" where as \b is a word boundary, \w+ is one or more "word character" and (?:ing|s) is an uncaptured group of either ing or s.
As you asked "how to develop a regex":
First: Don't use regex for complex tasks. They are hard to read, write and maintain. For example there is a regex that validates email addresses - but its computer generated and nothing you should use in practice.
Start simple and add edge cases. At the beginning plan what characters you need to use: You said you need words ending with s or ing. So you probably need something to represent a word, endings of words and the literal characters s and ing. What is a word? This might change from case to case, but at least every alphabetical character. Looking up in the python documentation on regexes you can find \w which is [a-zA-Z0-9_], which fits my impression of a word character. There you can also find \b which is a word boundary.
So the "first pseudo code try" is something like \b\w...\w\b which matches a word. We still need to "formalize" ... which we want to have the meaning of "one ore more characters", which directly translates to \b\w+\b. We can now match a word! We still need the s or ing. | translates to or, so how is the following: \b\w+ing|s\b? If you test this, you'll see that it will match confusing things like ingest which should not match our regex. What is happening? As you probably already saw the | can't know "which part it should or", so we need to introduce parenthesis: \b\w+(ing|s)\b. Congratulations, you have now arrived at a working regex!
Why (and how) does this differ from the example I gave first? First I wrote \w+? instead of \w+, the ? turns the + into a non-greedy version. If you know what the difference between greedy and non greedy is, skip this paragraph. Consider the following: AaAAbA and we want to match the things enclosed with big letter A. A naive try: A\w+A, so one or more word characters enclosed with A. This matches AaA, but also AaAAbA, A is still something that can be matched by \w. Without further config the *+? quantifier all try to match as much as possible. Sometimes, like in the A example, you don't want that, you can then use a ? after the quantifier to signal you want a non-greedy version, a version that matches as little as possible.
But in our case this isn't needed, the words are well seperated by whitespaces, which are not part of \w. So in fact you can just let + be greedy and everything will be alright. If you use . (any character) you often need to be careful not to match to much.
The other difference is using (?:s|ing) instead of (s|ing). What does the ?: do here? It changes a capturing group to a non capturing group. Generally you don't want to get "everything" from the regex. Consider the following regex: I want to go to \w+. You are not interested in the whole sentence, but only in the \w+, so you can capture it in a group: I want to go to (\w+). This means that you are interested in this specific piece of information and want to retrieve it later. Sometimes (like when using |) you need to group expressions together, but are not interested in their content, you can then declare it as non capturing. Otherwise you will get the group (s or ing) but not the actual word!
So to summarize:
* start small
* add one case after another
* always test with examples
In fact I just tried re.findall(\b\w+(?:ing|s)\b, "fishing words") and it didn't work. \w+(?:ing|s) works. I've no idea why, maybe someone else can explain that. Regex are an arcane thing, only use them for easy and easy to test tasks.
Generally speaking I'd use \b to match "word boundaries" with \w which matches word components (short cut for [A-Za-z0-9_]). Then you can do an or grouping to match "s" or "ing". Result is:
/\b\w+(s|ing)\b/