I'm trying to do lookaheads in a conditional statement.
Explanation by words:
(specified string that has to be a number (decimal or not) or a word character, a named capturing group is created) (if the named capturing group is a word character then check if the next string is a number (decimal or not) with a lookahead else check if the next string is a word character with a lookahead)
To understand, here some examples that are matched or not:
a 6 or 6.4 b-> matched, since the first and the second string haven't the same "type"
ab 7 or 7 rt -> not matched, need only a single word character
R 7.55t -> not matched, 7.55t is not a valid number
a r or 5 6-> not matched, the first and the second string have the same "type" (number and number, or, word character and word character)
I've already found the answer for the first string: (?P<var>([a-zA-Z]|(-?\d+(.\d+)?)))
I've found nothing on Internet about lookaheads in a condition statement in Python.
The problem is that Python doesn't support conditional statement like PCRE:
Python supports conditionals using a numbered or named capturing group. Python does not support conditionals using lookaround, even though Python does support lookaround outside conditionals. Instead of a conditional like (?(?=regex)then|else), you can alternate two opposite lookarounds: (?=regex)then|(?!regex)else. (source: https://www.regular-expressions.info/conditional.html)
Maybe there's a better solution that I've planned or maybe it's just impossible to do what I want, I don't know.
What I tried: (?P<var>([a-zA-Z]|(-?\d+(.\d+)?))) (?(?=[a-zA-Z])(?=(-?\d+(.\d+)?))|(?=[a-zA-Z]))(?P=var) but that doesn't work.
The named capture group (?P<var>...) contains the actual text which matched, not the regex itself. There is a way to create a named regex, too; but it's probably not particularly necessary or useful here.
Simply spell out the alternatives:
((?<![a-zA-Z0-9])[a-zA-Z]\s+-?\d+(.\d+)?(?![a-zA-Z.0-9])|(?<![a-zA-Z.0-9])-?\d+(.\d+)?\s+[a-zA-Z](?![a-zA-Z0-9]))
If you genuinely require the second token to remain unmatched, it should be obvious how to change the parts starting at each \s into a lookahead.
Demo: https://ideone.com/nPNAIN
Related
I am quite new to regex, working on string verification where I want both conditions to be met. I am matching text containing 7digit numbers starting with 4 or 7 + string needs to contain one of the provided words.
What I managed so far:
\b((4|7)\d{6})\b|(\border|Order|Bestellung|bestellung|commande|Commande|ordine|Ordine|objednavku|Objednavku|objednavka|Objednavka)
Regex above correctly finds numbers but words are after OR statement which I would need to follow AND logic instead.
Could you please help me implement a change that would work as AND statement between digits and words?
You can use
(?s)^(?=.*\b(?:order|Order|Bestellung|bestellung|commande|Commande|ordine|Ordine|objednavku|Objednavku|objednavka|Objednavka)\b).*\b([47]\d{6})\b
If you can and want use a case insensitive matching with re.I, you can use
(?si)^(?=.*\b(?:order|bestellung|commande|ordine|objednavk[ua])\b).*\b([47]\d{6})\b
See the regex demo.
This matches
^ - start of string
(?=.*\b(?:order|Order|Bestellung|bestellung|commande|Commande|ordine|Ordine|objednavku|Objednavku|objednavka|Objednavka)\b) - a positive lookahead that matches any zero or more chars, as many as possible, up to any of the whole words listed in the group
.* - zero or more chars, as many as possible
\b([47]\d{6})\b - a 7-digit number as a whole word that starts with 4 or 7.
Do not forget to use a raw string literal to define a regex in Python code:
pattern = r'(?si)^(?=.*\b(?:order|bestellung|commande|ordine|objednavk[ua])\b).*\b([47]\d{6})\b'
By default, everything in regex is AND
if you do
abc,
it means "a" AND "b" AND "c"
so there is no need for an AND in regex
just remove the | between the numbers match and the words
\b(4|7)\d{6}(border|Order|Bestellung|bestellung|commande|Commande|ordine|Ordine|objednavku|Objednavku|objednavka|Objednavka)\b
I assume the backslash with the first word \border was a mistake.
This can match stuff like : "4958374border"
Before I begin — it may be worth stating, that: this technically does not have to be solved using a Regex, it's just that I immediately thought of a Regex when I started solving this problem, and I'm interested in knowing whether it's possible to solve using a Regex.
I've spent the last couple hours trying to create a Regex that does the following.
The regex must match a string that is ten characters long, iff the first five characters and last five characters are identical but each individual character is opposite in case.
In other words, if you take the first five characters, invert the case of each individual character, that should match the last five characters of the string.
For example, the regex should match abCDeABcdE, since the first five characters and the last five characters are the same, but each matching character is opposite in case. In other words, flip_case("abCDe") == "ABcdE"
Here are a few more strings that should match:
abcdeABCDE, abcdEABCDe, zYxWvZyXwV.
And here are a few that shouldn't match:
abcdeABCDZ, although the case is opposite, the strings themselves do not match.
abcdeABCDe, is a very close match, but should not match since the e's are not opposite in case.
Here is the first regex I tried, which is obviously wrong since it doesn't account for the case-swap process.
/([a-zA-Z]{5})\1/g
My next though was whether the following is possible in a regex, but I've been reading several Regex tutorials and I can't seem to find it anywhere.
/([A-Z])[\1+32]/g
This new regex (that obviously doesn't work) is supposed to match a single uppercase letter, immediately followed by itself-plus-32-ascii, so, in other words, it should match an uppercase letter followed immediately by its' lowercase counterpart. But, as far as I'm concerned, you cannot "add an ascii value" to backreference in a regex.
And, bonus points to whoever can answer this — in this specific case, the string in question is known to be 10 characters long. Would it be possible to create a regex that matches strings of an arbitrary length?
You want to use the following pattern with the Python regex module:
^(?=(\p{L})(\p{L})(\p{L})(\p{L})(\p{L}))(?=.*(?!\1)(?i:\1)(?!\2)(?i:\2)(?!\3)(?i:\3)(?!\4)(?i:\4)(?!\5)(?i:\5)$)
See the regex demo
Details
^ - start of string
(?=(\p{L})(\p{L})(\p{L})(\p{L})(\p{L})) - a positive lookahead with a sequence of five capturing groups that capture the first five letters individually
(?=.*(?!\1)(?i:\1)(?!\2)(?i:\2)(?!\3)(?i:\3)(?!\4)(?i:\4)(?!\5)(?i:\5)$) - a ppositive lookahead that make sure that, at the end of the string, there are 5 letters that are the same as the ones captured at the start but are of different case.
In brief, the first (\p{L}) in the first lookahead captures the first a in abcdeABCDE and then, inside the second lookahead, (?!\1)(?i:\1) makes sure the fifth char from the end is the same (with the case insensitive mode on), and (?!\1) negative lookahead make sure this letter is not identical to the one captured.
The re module does not support inline modifier groups, so this expression won't work with that moduue.
Python regex based module demo:
import regex
strs = ['abcdeABCDE', 'abcdEABCDe', 'zYxWvZyXwV', 'abcdeABCDZ', 'abcdeABCDe']
rx = r'^(?=(\p{L})(\p{L})(\p{L})(\p{L})(\p{L}))(?=.*(?!\1)(?i:\1)(?!\2)(?i:\2)(?!\3)(?i:\3)(?!\4)(?i:\4)(?!\5)(?i:\5)$)'
for s in strs:
print("Testing {}...".format(s))
if regex.search(rx, s):
print("Matched")
Output:
Testing abcdeABCDE...
Matched
Testing abcdEABCDe...
Matched
Testing zYxWvZyXwV...
Matched
Testing abcdeABCDZ...
Testing abcdeABCDe...
In Python 2, a Python variable name contains only ASCII letters, numbers and underscores, and it must not start with a number. Thus,
re.search(r'[_a-zA-Z][_a-zA-Z0-9]*', s)
will find a matching Python name in the str s.
In Python 3, the letters are no longer restricted to ASCII. I am in search for a new regex which will match any and all legal Python 3 variable names.
According to the docs, \w in a regex will match any Unicode word literal, including numbers and the underscore. I am however unsure whether this character set contains exactly those characters which might be used in variable names.
Even if the character set \w contains exactly the characters from which Python 3 variable names may legally be constructed, how do I use it to create my regex? Using just \w+ will also match "words" which start with a number, which is no good. I have the following solution in mind,
re.search(r'(\w&[^0-9])\w*', s)
where & is the "and" operator (just like | is the "or" operator). The parentheses will thus match any word literal which at the same time is not a number. The problem with this is that the & operator does not exist, and so I'm stuck with no solution.
Edit
Though the "double negative" trick (as explained in the answer by Patrick Artner below) can also be found in this question, note that this only partly answers my question. Using [^\W0-9]\w* only works if I am guaranteed that \w exactly matches the legal Unicode characters, plus the numbers 0-9. I would like a source of this knowledge, or some other regex which gets the job done.
You can use a double negative - \W is anything that \w is not - just disallow it to allow any \w:
[^\W0-9]\w*
essentially using any not - non-wordcharacter except 0-9 followed by any word character any number of times.
Doku: regular-expression-syntax
You could try using
^(?![0-9])\w+$
Which will not partial match invalid variable names
Alternatively, if you don't need to use regex. str.isidentifier() will probably do what you want.
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/
How do I add the tag NEG_ to all words that follow not, no and never until the next punctuation mark in a string(used for sentiment analysis)? I assume that regular expressions could be used, but I'm not sure how.
Input:It was never going to work, he thought. He did not play so well, so he had to practice some more.
Desired output:It was never NEG_going NEG_to NEG_work, he thought. He did not NEG_play NEG_so NEG_well, so he had to practice some more.
Any idea how to solve this?
To make up for Python's re regex engine's lack of some Perl abilities, you can use a lambda expression in a re.sub function to create a dynamic replacement:
import re
string = "It was never going to work, he thought. He did not play so well, so he had to practice some more. Not foobar !"
transformed = re.sub(r'\b(?:not|never|no)\b[\w\s]+[^\w\s]',
lambda match: re.sub(r'(\s+)(\w+)', r'\1NEG_\2', match.group(0)),
string,
flags=re.IGNORECASE)
Will print (demo here)
It was never NEG_going NEG_to NEG_work, he thought. He did not NEG_play NEG_so NEG_well, so he had to practice some more. Not NEG_foobar !
Explanation
The first step is to select the parts of your string you're interested in. This is done with
\b(?:not|never|no)\b[\w\s]+[^\w\s]
Your negative keyword (\b is a word boundary, (?:...) a non capturing group), followed by alpahnum and spaces (\w is [0-9a-zA-Z_], \s is all kind of whitespaces), up until something that's neither an alphanum nor a space (acting as punctuation).
Note that the punctuation is mandatory here, but you could safely remove [^\w\s] to match end of string as well.
Now you're dealing with never going to work, kind of strings. Just select the words preceded by spaces with
(\s+)(\w+)
And replace them with what you want
\1NEG_\2
I would not do this with regexp. Rather I would;
Split the input on punctuation characters.
For each fragment do
Set negation counter to 0
Split input into words
For each word
Add negation counter number of NEG_ to the word. (Or mod 2, or 1 if greater than 0)
If original word is in {No,Never,Not} increase negation counter by one.
You will need to do this in several steps (at least in Python - .NET languages can use a regex engine that has more capabilities):
First, match a part of a string starting with not, no or never. The regex \b(?:not?|never)\b([^.,:;!?]+) would be a good starting point. You might need to add more punctuation characters to that list if they occur in your texts.
Then, use the match result's group 1 as the target of your second step: Find all words (for example by splitting on whitespace and/or punctuation) and prepend NEG_ to them.
Join the string together again and insert the result in your original string in the place of the first regex's match.