Is there a multiline string literal syntax in Matlab or is it necessary to concatenate multiple lines?
I found the verbatim package, but it only works in an m-file or function and not interactively within editor cells.
EDIT: I am particularly after readbility and ease of modifying the literal in the code (imagine it contains indented blocks of different levels) - it is easy to make multiline strings, but I am looking for the most convenient sytax for doing that.
So far I have
t = {...
'abc'...
'def'};
t = cellfun(#(x) [x sprintf('\n')],t,'Unif',false);
t = horzcat(t{:});
which gives size(t) = 1 8, but is obviously a bit of a mess.
EDIT 2: Basically verbatim does what I want except it doesn't work in Editor cells, but maybe my best bet is to update it so it does. I think it should be possible to get current open file and cursor position from the java interface to the Editor. The problem would be if there were multiple verbatim calls in the same cell how would you distinguish between them.
I'd go for:
multiline = sprintf([ ...
'Line 1\n'...
'Line 2\n'...
]);
Matlab is an oddball in that escape processing in strings is a function of the printf family of functions instead of the string literal syntax. And no multiline literals. Oh well.
I've ended up doing two things. First, make CR() and LF() functions that just return processed \r and \n respectively, so you can use them as pseudo-literals in your code. I prefer doing this way rather than sending entire strings through sprintf(), because there might be other backslashes in there you didn't want processed as escape sequences (e.g. if some of your strings came from function arguments or input read from elsewhere).
function out = CR()
out = char(13); % # sprintf('\r')
function out = LF()
out = char(10); % # sprintf('\n');
Second, make a join(glue, strs) function that works like Perl's join or the cellfun/horzcat code in your example, but without the final trailing separator.
function out = join(glue, strs)
strs = strs(:)';
strs(2,:) = {glue};
strs = strs(:)';
strs(end) = [];
out = cat(2, strs{:});
And then use it with cell literals like you do.
str = join(LF, {
'abc'
'defghi'
'jklm'
});
You don't need the "..." ellipses in cell literals like this; omitting them does a vertical vector construction, and it's fine if the rows have different lengths of char strings because they're each getting stuck inside a cell. That alone should save you some typing.
Bit of an old thread but I got this
multiline = join([
"Line 1"
"Line 2"
], newline)
I think if makes things pretty easy but obviously it depends on what one is looking for :)
Related
I'm trying to use pyparsing to build a parser that will match on all text within an arbitrarily nested set of brackets. If we consider a string like this:
"[A,[B,C],[D,E,F],G] Random Middle text [H,I,J]"
What I would like is for a parser to match in a way that it returns two matches:
[
"[A,[B,C],[D,E,F],G]",
"[H,I,J]"
]
I was able to accomplish a somewhat-working version of this using a barrage of originalTextFor mashed up with nestedExpr, but this breaks when your nesting is deeper than the number of OriginalTextFor expressions.
Is there a straightforward way to only match on the outermost expression grabbed by nestedExpr, or a way to modify its logic so that everything after the first paired match is treated as plaintext rather than being parsed?
update: One thing that seems to come close to what I want to accomplish is this modified version of the logic from nestedExpr:
def mynest(opener='{', closer='}'):
content = (empty.copy()+CharsNotIn(opener+closer+ParserElement.DEFAULT_WHITE_CHARS))
ret = Forward()
ret <<= ( Suppress(opener) + originalTextFor(ZeroOrMore( ret | content )) + Suppress(closer) )
return ret
This gets me most of the way there, although there's an extra level of list wrapping in there that I really don't need, and what I'd really like is for those brackets to be included in the string (without getting into an infinite recursion situation by not suppressing them).
parser = mynest("[","]")
result = parser.searchString("[A,[B,C],[D,E,F],G] Random Middle text [H,I,J]")
result.asList()
>>> [['A,[B,C],[D,E,F],G'], ['H,I,J']]
I know I could strip these out with a simple list comprehension, but it would be ideal if I could just eliminate that second, redundant level.
Not sure why this wouldn't work:
sample = "[A,[B,C],[D,E,F],G] Random Middle text [H,I,J]"
scanner = originalTextFor(nestedExpr('[',']'))
for match in scanner.searchString(sample):
print(match[0])
prints:
'[A,[B,C],[D,E,F],G]'
'[H,I,J]'
What is the situation where "this breaks when your nesting is deeper than the number of OriginalTextFor expressions"?
Let's say I make this simple string macro
macro e_str(s)
return string("I touched this: ",s)
end
If I apply it to a string with interpolation, I
obtain:
julia> e"foobar $(log(2))"
"I touched this: foobar \$(log(2))"
Whereas I would like to obtain:
julia> e"foobar $(log(2))"
"I touched this: foobar 0.6931471805599453"
What changes do I have to make to my macro declaration?
It's better to parse the string at compile-time than to delegate to Julia. Basically, put the string into an IOBuffer, scan the string for $ signs, and use the parse function whenever they come up.
macro e_str(s)
components = []
buf = IOBuffer(s)
while !eof(buf)
push!(components, rstrip(readuntil(buf, '$'), '$'))
if !eof(buf)
push!(components, parse(buf; greedy=false))
end
end
quote
string($(map(esc, components)...))
end
end
This doesn't work with escaped $ characters, but that can be resolved with some minor changes to handle \ also. I have included a basic example at the bottom of this post.
I wrote it this way because string macros are generally not for emulating Julia strings — regular macros with regular string literals are better for that purpose. So writing up the parsing yourself isn't that bad, especially because it allows customized extensions. If you really want parsing to be identical to how Julia parses it, you could escape the string and then reparse it, as #MattB suggested:
macro e_str(s)
esc(parse("\"$(escape_string(s))\""))
end
The resulting expression is a :string expression which you could dump and inspect, and then analyse the usual way.
String macros do not come with built-in interpolation facilities. However, it is possible to manually implement this functionality. Note that it is not possible to embed without escaping string literals that have the same delimiter as the surrounding string macro; that is, although """ $("x") """ is possible, " $("x") " is not. Instead, this must be escaped as " $(\"x\") ".
There are two approaches to implementing interpolation manually: implement parsing manually, or get Julia to do the parsing. The first approach is more flexible, but the second approach is easier.
Manual parsing
macro interp_str(s)
components = []
buf = IOBuffer(s)
while !eof(buf)
push!(components, rstrip(readuntil(buf, '$'), '$'))
if !eof(buf)
push!(components, parse(buf; greedy=false))
end
end
quote
string($(map(esc, components)...))
end
end
Julia parsing
macro e_str(s)
esc(parse("\"$(escape_string(s))\""))
end
This method escapes the string (but note that escape_string does not escape the $ signs) and passes it back to Julia's parser to parse. Escaping the string is necessary to ensure that " and \ do not affect the string's parsing. The resulting expression is a :string expression, which can be examined and decomposed for macro purposes.
I have a problem with splitting string into two parts on special character.
For example:
12345#data
or
1234567#data
I have 5-7 characters in first part separated with "#" from second part, where are another data (characters,numbers, doesn't matter what)
I need to store two parts on each side of # in two variables:
x = 12345
y = data
without "#" character.
I was looking for some Lua string function like splitOn("#") or substring until character, but I haven't found that.
Use string.match and captures.
Try this:
s = "12345#data"
a,b = s:match("(.+)#(.+)")
print(a,b)
See this documentation:
First of all, although Lua does not have a split function is its standard library, it does have string.gmatch, which can be used instead of a split function in many cases. Unlike a split function, string.gmatch takes a pattern to match the non-delimiter text, instead of the delimiters themselves
It is easily achievable with the help of a negated character class with string.gmatch:
local example = "12345#data"
for i in string.gmatch(example, "[^#]+") do
print(i)
end
See IDEONE demo
The [^#]+ pattern matches one or more characters other than # (so, it "splits" a string with 1 character).
What is an efficient way in MATLAB to replace/insert one symbol (in series of symbols) with several others that correspond to the one that is being replaced?
For example, consider having a string Eq: Eq = 'A*exp(-((x-xc)/w)^2)'. Is there a way to replace * with .*, / with ./,\ with .\, and ^ with .^ without writing four separate strrep() lines?
Regular expressions will do the job nicely. Regular expressions simply find patterns in text. You specify what kind of pattern you are looking for by a regular expression, and the output gives you the locations of where the pattern occurred.
For our particular case, not only do we want to find where patterns occur, we also want to replace those patterns with something else. Specifically, use the function regexprep from MATLAB to replace matches in a string with something else. What you want to do is replace all *, /, \ and ^ symbols by adding a . in front of each.
How regexprep works is that the first input is the string you're looking at, the second input is a pattern that you're trying to find. In our case, we want to find any of *, /, \ and ^. To specify this pattern, you put those desired symbols in [] brackets. Regular expressions reserve \ as a special symbol to delineate characters that can be parsed as a regular expression but actually aren't. As such, you need to use \\ for the \ character and \^ for the ^ character. The third input is what you want to replace each match with. In our case, we simply want to reuse each matched character, but we add a . at the beginning of the match. This is done by doing \.$0 in the regular expression syntax. $0 means to grab the first token produced by a match... which is essentially the matched symbol from the pattern. . is also a reserved keyword using regular expressions, so we must prepend this symbol with a \ character.
Without further ado:
>> Eq = 'A*exp(-((x-xc)/w)^2)';
>> out = regexprep(Eq, '[*/\\\^]', '\.$0')
out =
A.*exp(-((x-xc)./w).^2)
The pattern we are looking for is [*/\\\^], which means that we want to find any of *, /, \ - denoted as \\ in regex, and \^ - denoted as ^ in regex. We want to find any of these symbols and replace them with the same symbol by adding a . character in front - \.$0.
As a more complicated example, let's make sure that we include all of the symbols you're looking for in a sample equation:
>> A = 'A*exp(-((x-xc)/w)^2) \ b^2';
>> out = regexprep(A, '[*/\\\^]', '\.$0')
out =
A.*exp(-((x-xc)./w).^2) .\ b.^2
I'd go with regexp as in rayryeng's answer. But here's another approach, just to provide an alternative.
ops = '*/\^'; %// operators that need a dot
ii = find(ismember(Eq, ops)); %// find where dots should be inserted
[~, jj] = sort([1:numel(Eq) ii-.5]); %// will be used to properly order the result
result = [Eq repmat('.',1,numel(ii))]; %// insert dots at the end
result = result(jj); %// properly order the result
And a variant:
ops = '*/\^'; %// operators that need a dot
ii = find(ismember(Eq, ops)); %// find where dots should be inserted
jj = sort([1:numel(Eq) ii-.5]); %// dot locations are marked with fractional part
result = Eq(ceil(jj)); %// repeat characters where the dots will be placed
result(mod(jj,1)>0) = '.'; %// place dots at indices with fractional part
The vectorize function already does almost all of what you want except that it does not convert mldivide (\) to ldivide (.\).
By "efficient," do you mean fewer lines of code or faster? Regular expressions are almost always slower than other approaches and less readable. I don't think they're necessary or a good choice in this case. If you only need to convert your string once, then speed is less of a concern than readability (strrep will still be faster). If you need to do it many times, this simple code that you alluded to is 4–5 times faster than regexrep for short strings like your example (and much faster for longer strings):
out = strrep(Eq,'*','.*');
out = strrep(out,'/','./');
out = strrep(out,'\','.\');
out = strrep(out,'^','.^');
If you want one line, use:
out = strrep(strrep(strrep(strrep(Eq,'*','.*'),'/','./'),'\','.\'),'^','.^');
which will also be slightly faster still. Or create your own version of vectorize and call that.
Where regular expressions shine is in more complex cases, e.g., if your string is already partially vectorized: Eq = 'A.*exp(-((x-xc)/w)^2)'. Even still, the vectorize function just uses strrep and then calls strfind to "remove any possible '..*', '../', etc." and replace them with the proper element-wise operators because it's faster (symbolic math strings can get very large, for example).
So say I have a string with some underscores like hi_there.
Is there a way to auto-convert that string into "hi there"?
(the original string, by the way, is a variable name that I'm converting into a plot title).
Surprising that no-one has yet mentioned strrep:
>> strrep('string_with_underscores', '_', ' ')
ans =
string with underscores
which should be the official way to do a simple string replacements. For such a simple case, regexprep is overkill: yes, they are Swiss-knifes that can do everything possible, but they come with a long manual. String indexing shown by AndreasH only works for replacing single characters, it cannot do this:
>> s = 'string*-*with*-*funny*-*separators';
>> strrep(s, '*-*', ' ')
ans =
string with funny separators
>> s(s=='*-*') = ' '
Error using ==
Matrix dimensions must agree.
As a bonus, it also works for cell-arrays with strings:
>> strrep({'This_is_a','cell_array_with','strings_with','underscores'},'_',' ')
ans =
'This is a' 'cell array with' 'strings with' 'underscores'
Try this Matlab code for a string variable 's'
s(s=='_') = ' ';
If you ever have to do anything more complicated, say doing a replacement of multiple variable length strings,
s(s == '_') = ' ' will be a huge pain. If your replacement needs ever get more complicated consider using regexprep:
>> regexprep({'hi_there', 'hey_there'}, '_', ' ')
ans =
'hi there' 'hey there'
That being said, in your case #AndreasH.'s solution is the most appropriate and regexprep is overkill.
A more interesting question is why you are passing variables around as strings?
regexprep() may be what you're looking for and is a handy function in general.
regexprep('hi_there','_',' ')
Will take the first argument string, and replace instances of the second argument with the third. In this case it replaces all underscores with a space.
In Matlab strings are vectors, so performing simple string manipulations can be achieved using standard operators e.g. replacing _ with whitespace.
text = 'variable_name';
text(text=='_') = ' '; //replace all occurrences of underscore with whitespace
=> text = variable name
I know this was already answered, however, in my case I was looking for a way to correct plot titles so that I could include a filename (which could have underscores). So, I wanted to print them with the underscores NOT displaying with as subscripts. So, using this great info above, and rather than a space, I escaped the subscript in the substitution.
For example:
% Have the user select a file:
[infile inpath]=uigetfile('*.txt','Get some text file');
figure
% this is a problem for filenames with underscores
title(infile)
% this correctly displays filenames with underscores
title(strrep(infile,'_','\_'))