How to most efficiently check if two strings are different? - php

I have two very large strings. How can I compare them to tell if they're identical, or if one of them is different than the other? (That way I can leave the identical strings alone and process the ones that have changed).

The most efficient way is to do:
$string1 == $string2
It does a bit-wise comparison of the strings, so should be at worst O(n) where n is the size of the smaller string. I don't think you're going to get much better than that (short of keeping track of the strings and if they were changed, but the way your question is worded it seems like all you want to do is compare them).

You could compare hash values, or create a wrapper class containing the string in question and a "changed" flag that is set to true each time the string is altered.

Related

Quick way to find common words between two strings

I have a string which has the length of an average sentence, it can be made up of any random words. I also have a file (around 600kb) which contains some more random words.
I want to find out the common words between these two as efficiently as possible. Right now, I am going over two loops to match each word from the string against each word in the file but that seems a bit inefficient. Is there a better and more efficient way to get the common words?
Load one set into an array keys (values can be anything). Then loop the other set and test whether the array has those keys. This way you don't have two nested loops, but two independent ones (load loop and test loop), and key lookup is easy and fast when compared to the value lookup.
If you are testing multiple sentences against one file, loading the file into the array is clearly better. If your file is larger than your memory (shouldn't happen really, not with 600kb), then do it the other way around.
Alternately you can just make two arrays, then use array_intersect or array_intersect_key. If PHP is smart, array_intersect_keys will use the above procedure; in any case it should be good because it is implemented in C. The downside is you must load everything into memory (again, probably not an issue).
Your current algorithm complexity is O(N*M). To improve it, you can use hashtable to store the words from the file. In PHP, associative arrays are implemented as hashtables. So your array will look like this
$array = ['abc' => true, 'dfg' => true, ]// and so on
and use array_key_exists to check if word is in array. This gives you O(1) on validation. And finally, you have to iterate the words in your sentences. It will be O(N), where N is a number of words. Final complexity is O(N)

Find common substrings from 2 separate sets

Background: I have a large database of people, and I want to look for duplicates, which is more difficult than it seems. I already do a lot of comparison between the names (which are often spelled in different ways), dates of birth and so on. When two profiles appear to be similar enough to the matching algorithm, they are presented to an operator who will judge.
Most profiles have more than one phone number attached, so I would like to use them to find duplicates. They can be entered as "001-555-123456", but also as "555-123456", "555-123456-7-8", "555-123456 call me in the evening" or anything you might imagine.
My first idea is to strip all non-numeric characters and get the "longest common substring".
There are a lot of algorithms around to find the longest common substring inside a set.
But whenever I compare two profiles A and B, I have two sets of phone numbers. I would like to find the longest common substring between a string in the set A and a string in a set B.
Can you please help me in finding such an algorithm?
I normally program in PHP, a SQL-only solution would be even better, but any other language would go.
As Voitcus said before, you have to clean your data first before you start comparing or looking for duplicates. A phone number should follow a strict pattern. For the numbers which do not match the pattern try to adjust them to it. Then you have the ability to look for duplicates.
Morevover you should do data-cleaning before persisting it, maybe in a seperate column. You then dont have to care for that when looking for duplicates ... just to avoid performance peaks.
Algorithms like levenshtein or similar_text() in php, doesnt fit to that use-case quite well.
In my opinion the best way is to strip all non-numeric characters from the texts containing phone numbers. You can do this in many ways, some regular expression would be the best, but see below.
Then, if it is possible, you can find the country direction code, if the user has its location country. If there is none, assume default and add to the string. The same would be probably with the cities. You can try to take a look also in place one lives, their zip code etc.
At the end of this you should have uniform phone numbers which can be easily compared.
The other way is to compare strings with the country (and city) code removed.
About searching "the longest common substring": The numbers thus filtered are the same, however you might need it eg. if someone typed "call me after 6 p.m.". If you're sure that the phone number is always at the beginning, so nobody typed something like 555-SUPERMAN which translates to 555-78737626, there is also possibility to remove everything after the last alphanumeric character (and this character, as well).
There is also a possibility to filter such data in the SQL statement. Consider something like a SELECT ..., [your trimming function(phone_number)] AS trimmed_phone WHERE (trimmed_phone is not numerical characters only) GROUP BY trimmed_phone. If trimming function would remove only whitespaces and special dividers like -, +, . (commonly in use in Germany), , perhaps etc., this query would leave you all phone numbers that are trimmed but contain characters not numeric -- take a look at the results, probably mostly digits and letters. How many of them are they? Maybe they have something common? Maybe some typical phrases you can filter out too?
If the result from such query would not be very much, maybe it's easier just to do it by hand?

Cassandra columns order by UTF8 encoded string

I'm not sure if this is specific question for Cassandra or this can also belong to PHP so I'm sorry for tagging PHP.
So basically i'm ordering some long row columns by their column names, which goes like this:
2012-01-01_aa_99999 | 2012-01-01_aaa | 2012-01-12_aaaaa
So this is working the way i want it to work, but i don't understand how does it actually order those string.
What is not clear to me is that first string 2012-01-01_aa_99999 seems to be way bigger then the rest two, and i'm concerned that at some point it might ignore first part of the string which is a date and put some string where they shouldn't belong.
In my case those string consist of quite a few parts so i'm really concerned about this, so basically i need some explanation how does this ordering happens internally.
i don't understand how does it actually order those string.
The strings you provided appear to be lexicographically ordered.
I had the same question as I want to construct a composite primary key index with well-understood sorting abilities. It turns out Cassandra appears to compare UTF-8 strings using a byte-by-byte binary comparison... this is indeed a completely broken sort function from a logical perspective. If you had mixed ASCII and Kanji characters in your string, for example, your sort order would be effectively random. However, as long as this sort order is known, one can design your usage patterns around it.
This could be easily fixed, of course, and it would be nearly a single-line change of code to patch in a "real" sort function. This would require a bit extra CPU time, of course.

Detect random strings

I am building a string to detect whether filename makes sense or if they are completely random with PHP. I'm using regular expressions.
A valid filename = sample-image-25.jpg
A random filename = 46347sdga467234626.jpg
I want to check if the filename makes sense or not, if not, I want to alert the user to fix the filename before continuing.
Any help?
I'm not really sure that's possible because I'm not sure it's possible to define "random" in a way the computer will understand sufficiently well.
"umiarkowany" looks random, but it's a perfectly valid word I pulled off the Polish Wikipedia page for South Korea.
My advice is to think more deeply about why this design detail is important, and look for a more feasible solution to the underlying problem.
You need way to much work on that. You should make an huge array of most-used-word (like a dictionary) and check if most of the work inside the file (maybe separated by - or _) are there and it will have huge bugs.
Basically you will need of
explode()
implode()
array_search() or in_array()
Take the string and look for a piece glue like "_" or "-" with preg_match(); if there are some, explode the string into an array and compare that array with the dictionary array.
Or, since almost every words has alternate vowel and consonants you could make an huge script that checks whatever most of the words inside the file name are considered "not-random" generated. But the problem will be the same: why do you need of that? Check for a more flexible solution.
Notice:
Consider that even a simple-and-friendly-file.png could be the result of a string generator.
Good luck with that.

Storing a bunch of 3bits long binary data with PHP

My PHP program is working with an array of values ranging from 0 to 7. I'm trying to find the most effective way to store those values in PHP. By most effective I mean using the less number of bits.
It's clear that each value only need 3 bits of storage space (b000=0 to b111=7). But what is the most efficient way to store those 3bits values in a binary string ?
I don't know in advance how many 3 bits values I'll need to store or restore, but it might be a lot, so 64bits is clearly not enough.
I was looking into pack() and unpack(): I could store two values in each byte and use a pack('C', $twoValues), but I'm still loosing 2 bits.
Will it work ? Is there a more effective way of storing those values ?
Thanks
You didn't ask if it was a good idea - as many suggested, your benefit of that kind of space compression, is easily lost in the extra processing - but that's another topic :)
You're also not mentioning where you're storing the data after. Whatever that storage location/engine is maybe have further conditions and specialized types (eg a database has a binary column format, might have a byte column format, may even support bit storage etc).
But sticking with the topic, I guess best 3 bit storage is as a nibble (waisting one bit) and I suppose I'd combine two nibbles into a byte (loosing two bits overall). Yes you're loosing two bits (if that's key), but it's simple to combine the two values so you're processing overhead is relatively small:
$byte=$val1*7+$val2;
$val2=$byte%7;$val1=($byte-$val2)/7;
If a byte isn't available, you can combine these up to make 16 (4 stored), 32 (8), 64 (16) bit integers. You can also form an array of these values for larger storage.
I'd consider the above more human readable, but you could also use bit-logic to combine and separate the values:
$combinedbyte=$val1<<3|$val2;
$val2=$combinedbyte&7;$val1=($combinedbyte&56)>>3);
(This is effectively what the PACK/UNPACK commands do)
Alternatively you could encode into characters, since in ASCII the first few are protected, you might as well start at A (A-Z+6 punc+a-z gives you 58 when you only need 49 to store your two values).
$char=chr(($val1*7+$val2)+65); //ord('A')=65
$val2=(ord($char)-65)%7;$val1=(ord($char)-65-$val2)/7;
A series of these encoded characters could be stored as an array or in a null terminated string.
NOTE:
In the case of -say- 64 bit integers above, we're storing 3 bits in 4 so get 64/4=16 storage locations. This means we're waisting 16 further bits (1 per location) so you might be tempted to add another 5 values, for a total of 21 (21*3=63 bits, only 1 wasted). That's certainly possible (with integer math - although most PHP instances don't work # 64 bits, or bit-logic solutions) but it complicates things in the long run - probably more trouble than it's worth.
The best way is to store them as integers and not get involved with packing things bit by bit. Unless you have an actual engineering reason you need these to be stored as 3-bit values (for example, interfacing with hardware), you're just asking for headaches. Keep in mind, esp for odd bit sizes, they become pretty difficult to have direct access to if you do this. And if you are sticking these values in a database, you wouldnt be able to search or index on values packed like this. Store them as integers, or if in a db, perhaps a short integer or byte.
That kind of technique is only necessary if you will have at least half a billion of these. Think about it, the CPU will have to have data in one register, the mask in another and AND them just to get your value out. Now imagine iterating over a list of these that is long enough to justify that kind of space saving technique. A 50% reduction in space and an order of magnitude slower.
Looking at http://php.net/manual/en/language.types.php, you should store them as integers. However, the question is whether to let one integer value represent many 3-bit values or not. The former is more complex but requires less memory, whereas the first is the opposite. If you don't have an extreme need to reduce the amount of memory you use, then I would suggest the latter (use one integer for one 3-bit value).
The main problem with storing many 3-bit values in one integer is figuring out how many 3-bit values there are. You could use an array of integers, and then have an extra integer which states the total number of 3-bit values. However, as also stated in the manual, the number of bits used for an integer value is platform-dependent. So you would have to know whether an integer is 32 bits or 64 bits, or else you may try to store too many values and lose data, or you risk using more memory than needed (which would be a bad thing as you're aiming to use as little memory in the first place).
I would convert each integer to binary, concatenate all of them, and then split the resulting string into bytes. Each byte will be 0-255 so it can be stored as an individual character.

Categories