I have a text file which I geline to a string. The file is like this: 0.2abc 0.2 .2abc .2 abc.2abc abc.2 abc0.20 .2 . 20
I wanna check the result then parse it in to separate float. The result is:0.2 0.2abc 2 20 2abc abc0.20 abc
This is expalined: check if there is 2 digit (before and after '.' (full stop)) whether with char or not. If only 1 site of the '.' is digit the '.' will be full stop.
How can I parse a STRING to separate result like that? I did use iterator to check the '.' and pos of it, but still got stuck.
The first thing you need to do is split the input in words. Easy, just don't use .getline()
but instead rely on `while (cin >> strWord ) { /* do stuff with word*/ };
The second thing is to kick out bad input words early: words of 2 characters or less, with more than one ., or with the . first or last.
You now know that the . is somewhere in the middle. find() will give you an iterator. ++ and -- give you the next and previous iterators. * gives you the character that the iterator points to. isdigit() tells you whether that character is a digit. Add ingredients together and you're done.
Seems like some fairly complicated advice above -- and not necessarily helpful.
Your question does not make it entirely clear what the end result should look like. Do you want an array of floating point numbers? Do you just want the sum? Do you want to print out the results?
If you want help with homework, the best policy is to post your own attempt and then others can help you improve it, to make it work.
One approach that might help is to try to break the string into sub-strings (tokens) and discard the junk.
Write a function that accepts a character and returns true (this is part of a floating point number) or false (it isn't).
Scan along the string using an iterator or an index.
While current char is not part of a token, skip it.
If you find a token char, while current char is part of a token, copy it to another string
etc. to get all floating point substrings.
Then you can use std::stringstream or ::atof() to convert.
Have a bit of a go and post what you can get done.
sounds like you could use some regex to extract your number.
Try this regex in order to extract the floating values within a string.
[0-9]+\.[0-9]+
Keep in mind that this won't extract integer values. ie 234abc
I don't know if there is a built-in way to use regex in c++ but i found this library with a quick google search which allows you to use regex in c++
Sounds like you should look at the "Interpreter" Design Pattern.
Or you could use the "State" Design Pattern and do it by hand.
There should be plenty of examples of both on the web.
Related
I want to be able to match and parse some parameters read from a file such as :
"type:int,register_id:15,value:123456"
"type:int,register_id:16,value:-456789"
"type:double,register_id:17,value:123.456"
"type:double,register_id:18,value:-456.789"
"type:bool,register_id:19,value:true"
"type:bool,register_id:20,value:false"
"type:string,register_id:17,value:Test Set Data Register"
I've come up with the following Regex expression :
(^(type:)\b(bool|int|double|string)\b,(\bregister_id:\b)([1-9][0-9]),(\bvalue:\b)(.)$)
but I have issues where there are negative floats or ints, I can't get the hyphen sorted properly ...
Can someone point me in the right direction ?
https://regex101.com/r/WhXmBE/3
Thanks !
Tried [\s\S] but it reads everything, tried -? as well
Given your example, this seems to work:
(^(type:)(bool|int|double|string),(register_id:)([1-9][0-9]*),(value:)(.*)$)
At least from the example, I didn't see why the \b are necessary. Apologies if I missed something.
Looking at what you try to achieve, I would actually consider moving away from regexes, as regexes by themselves add complexity. You will likely have an easier life if you approach it like this:
Split the line by "," to get the key value pairs
Split each key value pair by the first ":" to split key and value
Validate that all keys are present and that every value matches the format for the key (e.g. if the type is bool then the value should parse to a bool)
You can easily adjust every step to e.g. trim whitespaces.
Edit: Fixed typo
I am working with a messy manually maintained "database" that has a column containing a string with name,value pairs. I am trying to parse the entire column with regexp to pull out the values. The column is huge (>100,000 entries). As a proxy for my actual data, let's use this code:
line1={'''thing1'': ''-583'', ''thing2'': ''245'', ''thing3'': ''246'', ''morestuff'':, '''''};
line2={'''thing1'': ''617'', ''thing2'': ''239'', ''morestuff'':, '''''};
line3={'''thing1'': ''unexpected_string(with)parens5'', ''thing2'': 245, ''thing3'':''246'', ''morestuff'':, '''''};
mycell=vertcat(line1,line2,line3);
This captures the general issues encountered in the database. I want to extract what thing1, thing2, and thing3 are in each line using cellfun to output a scalar cell array. They should normally be 3 digit numbers, but sometimes they have an unexpected form. Sometimes thing3 is completely missing, without the name even showing up in the line. Sometimes there are minor formatting inconsistencies, like single quotes missing around the value, spaces missing, or dashes showing up in front of the three digit value. I have managed to handle all of these, except for the case where thing3 is completely missing.
My general approach has been to use expressions like this:
expr1='(?<=thing1''):\s?''?-?([\w\d().]*?)''?,';
expr2='(?<=thing2''):\s?''?-?([\w\d().]*?)''?,';
expr3='(?<=thing3''):\s?''?-?([\w\d().]*?)''?,';
This looks behind for thingX' and then tries to match : followed by zero or one spaces, followed by 0 or 1 single quote, followed by zero or one dash, followed by any combination of letters, numbers, parentheses, or periods (this is defined as the token), using a lazy match, until zero or one single quote is encountered, followed by a comma. I call regexp as regexp(___,'tokens','once') to return the matching token.
The problem is that when there is no match, regexp returns an empty array. This prevents me from using, say,
out=cellfun(#(x) regexp(x,expr3,'tokens','once'),mycell);
unless I call it with 'UniformOutput',false. The problem with that is twofold. First, I need to then manually find the rows where there was no match. For example, I can do this:
emptyout=cellfun(#(x) isempty(x),out);
emptyID=find(emptyout);
backfill=cell(length(emptyID),1);
[backfill{:}]=deal('Unknown');
out(emptyID)=backfill;
In this example, emptyID has a length of 1 so this code is overkill. But I believe this is the correct way to generalize for when it is longer. This code will change every empty cell array in out with the string Unknown. But this leads to the second problem. I've now got a 'messy' cell array of non-scalar values. I cannot, for example, check unique(out) as a result.
Pardon the long-windedness but I wanted to give a clear example of the problem. Now my actual question is in a few parts:
Is there a way to accomplish what I'm trying to do without using 'UniformOutput',false? For example, is there a way to have regexp pass a custom string if there is no match (e.g. pass 'Unknown' if there is no match)? I can think of one 'cheat', which would be to use the | operator in the expression, and if the first token is not matched, look for something that is ALWAYS found. I would then still need to double back through the output and change every instance of that result to 'Unknown'.
If I take the 'UniformOutput',false approach, how can I recover a scalar cell array at the end to easily manipulate it (e.g. pass it through unique)? I will admit I'm not 100% clear on scalar vs nonscalar cell arrays.
If there is some overall different approach that I'm not thinking of, I'm also open to it.
Tangential to the main question, I also tried using a single expression to run regexp using 3 tokens to pull out the values of thing1, thing2, and thing3 in one pass. This seems to require 'UniformOutput',false even when there are no empty results from regexp. I'm not sure how to get a scalar cell array using this approach (e.g. an Nx1 cell array where each cell is a 3x1 cell).
At the end of the day, I want to build a table using these results:
mytable=table(out1,out2,out3);
Edit: Using celldisp sheds some light on the problem:
celldisp(out)
out{1}{1} =
246
out{2} =
Unknown
out{3}{1} =
246
I assume that I need to change the structure of out so that the contents of out{1}{1} and out{3}{1} are instead just out{1} and out{3}. But I'm not sure how to accomplish this if I need 'UniformOutput',false.
Note: I've not used MATLAB and this doesn't answer the "efficient" aspect, but...
How about forcing there to always be a match?
Just thinking about you really wanting a match to skip this problem, how about an empty match?
Looking on the MATLAB help page here I can see a 'emptymatch' option, perhaps this is something to try.
E.g.
the_thing_i_want_to_find|
Match "the_thing_i_want_to_find" or an empty match, note the | character.
In capture group it might look like this:
(the_thing_i_want_to_find|)
As a workaround, I have found that using regexprep can be used to find entries where thing3 is missing. For example:
replace='$1 ''thing3'': ''Unknown'', ''morestuff''';
missingexpr='(?<=thing2'':\s?)(''?-?[\w\d().]*?''?,) ''morestuff''';
regexprep(mycell{2},missingexpr,replace)
ans =
''thing1': '617', 'thing2': '239', 'thing3': 'Unknown', 'morestuff':, '''
Applying it to the entire array:
fixedcell=cellfun(#(x) regexprep(x,missingexpr,replace),mycell);
out=cellfun(#(x) regexp(x,expr3,'tokens','once'),fixedcell,'UniformOutput',false);
This feels a little roundabout, but it works.
cellfun can be replaced with a plain old for loop. Your code will either be equally fast, or maybe even faster. cellfun is implemented with a loop anyway, there is no advantage of using it other than fewer lines of code. In your explicit loop, you can then check the output of regexp, and build your output array any way you like.
I'm new to this site and this is my first time to ask here.
My problem is I want to check if my string follows a correct pattern or syntax. I'm doing it with C++ String (std::string). I have already done this using C-Style string, however, I want to do it this time in C++ String. Sample problem below:
Input: 2y'' + 3y' - 2y = 0
or y'' = 4y
I want to check if the derivative input is in correct syntax like (a)y'' + (b)y' + (c)y = 0, a second order homogeneous equation. However, I still want to input a non-standard form equation like the second sample input that can be transposed and make it to standard form.
What I did before with it is remove all the white spaces, loop the entire string and check every index. Eg. if 'y' is found the next char should be '\'' or an arithmetic symbol like '-' or '+' or '=' then if it does not match, then, it must return false.
Or maybe I am just implementing this wrong. I'm new to programming and just taking a computer science course. Note: Sorry for my bad English and sorry if I did not written my code here. Its just way too long.
Regular expressions might be the answer. They're commonly used for checking whether a string first a format, or finding parts of a string that do.
RegExr is a great tool to both learn and test your regular expressions.
The following will give me 9090 but I wish to get -9090
regexp_replace('abcd-9090',[^0-9],'')
If I use regexp_replace('abcd-9090',[^0-9-],'')
then it gives -9090
but when the string is abcd9090- it would give me 9090-
There could be many more cases I guess where abc-abcd-9090 would give me -9090 but its safe to assume that such will not be the case and there would be only a single - before the numeric values.
Since there could be many cases , I am just supposed to assume the best and replace the flawed code with a more correct pattern which produces an integer almost always.
May be like assuming a condition where only single - could come at the beginning of any digits in the string is okay to assume.
Any help is appreciated.
I guess you can try to use regexp_extract instead:
regexp_extract('abcd-9090','.*(-[0-9]+)',1)
UPD from comment - author need to address one more corner case:
regexp_extract(regexp_replace('-ab2cd9090','[^\\d-]+',''),'(-?\\d+)',1)
I am writing a program which will tokenize the input text depending upon some specific rules. I am using C++ for this.
Rules
Letter 'a' should be converted to token 'V-A'
Letter 'p' should be converted to token 'C-PA'
Letter 'pp' should be converted to token 'C-PPA'
Letter 'u' should be converted to token 'V-U'
This is just a sample and in real time I have around 500+ rules like this. If I am providing input as 'appu', it should tokenize like 'V-A + C-PPA + V-U'. I have implemented an algorithm for doing this and wanted to make sure that I am doing the right thing.
Algorithm
All rules will be kept in a XML file with the corresponding mapping to the token. Something like
<rules>
<rule pattern="a" token="V-A" />
<rule pattern="p" token="C-PA" />
<rule pattern="pp" token="C-PPA" />
<rule pattern="u" token="V-U" />
</rules>
1 - When the application starts, read this xml file and keep the values in a 'std::map'. This will be available until the end of the application(singleton pattern implementation).
2 - Iterate the input text characters. For each character, look for a match. If found, become more greedy and look for more matches by taking the next characters from the input text. Do this until we are getting a no match. So for the input text 'appu', first look for a match for 'a'. If found, try to get more match by taking the next character from the input text. So it will try to match 'ap' and found no matches. So it just returns.
3 - Replace the letter 'a' from input text as we got a token for it.
4 - Repeat step 2 and 3 with the remaining characters in the input text.
Here is a more simple explanation of the steps
input-text = 'appu'
tokens-generated=''
// First iteration
character-to-match = 'a'
pattern-found = true
// since pattern found, going recursive and check for more matches
character-to-match = 'ap'
pattern-found = false
tokens-generated = 'V-A'
// since no match found for 'ap', taking the first success and replacing it from input text
input-text = 'ppu'
// second iteration
character-to-match = 'p'
pattern-found = true
// since pattern found, going recursive and check for more matches
character-to-match = 'pp'
pattern-found = true
// since pattern found, going recursive and check for more matches
character-to-match = 'ppu'
pattern-found = false
tokens-generated = 'V-A + C-PPA'
// since no match found for 'ppu', taking the first success and replacing it from input text
input-text = 'u'
// third iteration
character-to-match = 'u'
pattern-found = true
tokens-generated = 'V-A + C-PPA + V-U' // we'r done!
Questions
1 - Is this algorithm looks fine for this problem or is there a better way to address this problem?
2 - If this is the right method, std::map is a good choice here? Or do I need to create my own key/value container?
3 - Is there a library available which can tokenize string like the above?
Any help would be appreciated
:)
So you're going through all of the tokens in your map looking for matches? You might as well use a list or array, there; it's going to be an inefficient search regardless.
A much more efficient way of finding just the tokens suitable for starting or continuing a match would be to store them as a trie. A lookup of a letter there would give you a sub-trie which contains only the tokens which have that letter as the first letter, and then you just continue searching downward as far as you can go.
Edit: let me explain this a little further.
First, I should explain that I'm not familiar with these the C++ std::map, beyond the name, which makes this a perfect example of why one learns the theory of this stuff as well as than details of particular libraries in particular programming languages: unless that library is badly misusing the name "map" (which is rather unlikely), the name itself tells me a lot about the characteristics of the data structure. I know, for example, that there's going to be a function that, given a single key and the map, will very efficiently search for and return the value associated with that key, and that there's also likely a function that will give you a list/array/whatever of all of the keys, which you could search yourself using your own code.
My interpretation of your data structure is that you have a map where the keys are what you call a pattern, those being a list (or array, or something of that nature) of characters, and the values are tokens. Thus, you can, given a full pattern, quickly find the token associated with it.
Unfortunately, while such a map is a good match to converting your XML input format to a internal data structure, it's not a good match to the searches you need to do. Note that you're not looking up entire patterns, but the first character of a pattern, producing a set of possible tokens, followed by a lookup of the second character of a pattern from within the set of patterns produced by that first lookup, and so on.
So what you really need is not a single map, but maps of maps of maps, each keyed by a single character. A lookup of "p" on the top level should give you a new map, with two keys: p, producing the C-PPA token, and "anything else", producing the C-PA token. This is effectively a trie data structure.
Does this make sense?
It may help if you start out by writing the parsing code first, in this manner: imagine someone else will write the functions to do the lookups you need, and he's a really good programmer and can do pretty much any magic that you want. Writing the parsing code, concentrate on making that as simple and clean as possible, creating whatever interface using these arbitrary functions you need (while not getting trivial and replacing the whole thing with one function!). Now you can look at the lookup functions you ended up with, and that tells you how you need to access your data structure, which will lead you to the type of data structure you need. Once you've figured that out, you can then work out how to load it up.
This method will work - I'm not sure that it is efficient, but it should work.
I would use the standard std::map rather than your own system.
There are tools like lex (or flex) that can be used for this. The issue would be whether you can regenerate the lexical analyzer that it would construct when the XML specification changes. If the XML specification does not change often, you may be able to use tools such as lex to do the scanning and mapping more easily. If the XML specification can change at the whim of those using the program, then lex is probably less appropriate.
There are some caveats - notably that both lex and flex generate C code, rather than C++.
I would also consider looking at pattern matching technology - the sort of stuff that egrep in particular uses. This has the merit of being something that can be handled at runtime (because egrep does it all the time). Or you could go for a scripting language - Perl, Python, ... Or you could consider something like PCRE (Perl Compatible Regular Expressions) library.
Better yet, if you're going to use the boost library, there's always the Boost tokenizer library -> http://www.boost.org/doc/libs/1_39_0/libs/tokenizer/index.html
You could use a regex (perhaps the boost::regex library). If all of the patterns are just strings of letters, a regex like "(a|p|pp|u)" would find a greedy match. So:
Run a regex_search using the above pattern to locate the next match
Plug the match-text into your std::map to get the replace-text.
Print the non-matched consumed input and replace-text to your output, then repeat 1 on the remaining input.
And done.
It may seem a bit complicated, but the most efficient way to do that is to use a graph to represent a state-chart. At first, i thought boost.statechart would help, but i figured it wasn't really appropriate. This method can be more efficient that using a simple std::map IF there are many rules, the number of possible characters is limited and the length of the text to read is quite high.
So anyway, using a simple graph :
0) create graph with "start" vertex
1) read xml configuration file and create vertices when needed (transition from one "set of characters" (eg "pp") to an additional one (eg "ppa")). Inside each vertex, store a transition table to the next vertices. If "key text" is complete, mark vertex as final and store the resulting text
2) now read text and interpret it using the graph. Start at the "start" vertex. ( * ) Use table to interpret one character and to jump to new vertex. If no new vertex has been selected, an error can be issued. Otherwise, if new vertex is final, print the resulting text and jump back to start vertex. Go back to (*) until there is no more text to interpret.
You could use boost.graph to represent the graph, but i think it is overly complex for what you need. Make your own custom representation.