I know how to do stuff with Lua states and what not but what i don't understand is how you would distribute the final program with a seperate lua file because say you have a .exe and a lua file in the same directory how would I make it so that it is all one executable like how Löve 2d uses
copy /b
to append the lua file to the Löve 2d interpreter so it can be distributed.
could someone possibly explain how this works.
many thanks
Blazing
You could embed the lua code directly into your C++ source in a raw string literal like so:
const auto lua_code = R"lua(
...lua code here...
)lua";
Related
I have a C++ program that parses a binary file and outputs a std::string. I would like to call this function directly from Julia and convert the steam into a DataFrame. I need it to work in Linux and Windows. Currently, I have the program write the output to a text file, and then I read it into Julia. Cxx is no longer supported, and trying to get CxxWrap to work has been an exercise in frustration.
Toy Problem:
If someone could show me how to call the code below from Julia, that would be awesome.
// the example from https://github.com/JuliaInterop/CxxWrap.jl
#include <string>
std::string greet()
{
return "hello, world";
}
There's a new package which might fit your needs here:
https://github.com/eschnett/CxxInterface.jl
It is intended as a successor to Cxx.jl and more stable, so I'd recommend giving it ago although I haven't tried it myself!
I have looked extensively in the net, yet not found exactly what I want.
I have a big simulation program that outputs results in a MATLAB M-file (let's call it res.m) and I want to plot the results visually.
I want to start the simulation with C++ many times in a row and therefore want to automatize the plotting of the results.
I come up to two options:
Execute from C++ an Octave or MATLAB script that generates the graph.
-> Haven't found anyone who managed to do so
Use the Octave source files to read the res.m file and output them after with whatever plotting C++ tool.
-> Theoretically possible but I get lost in those files
Is someone able to solve this? Or has a better, easier approach?
The answer is to execute through the terminal.
I didn't manage to actually run a octave script from my c++ program directly, but there is a way around messing with/through the terminal and a extra Octave file. I used in my cpp:
string = "octave myProgr.m"
const char *command = str.c_str();
system(command);
myProgr.m is the script that plots the res.m file
I have a C++ function that given 3 integers and a string, makes some statical tests from a matrix read from a txt file and creates as output a txt file called as the input string.
I would like to place this program in a matlab scrips that loops inside a cell array A made of sparse matrices in the following way:
formatSpec = string('Validated_edge_layer%d_time%d');
for k=1:size(A,1)
for j=1:size(A,2)
n1=size(A{k,j},1);
n2=size(A{k,j},2);
e=nnz(A{k,j});
write_to_txt(A{k,j};
string=sprintf(formatSpec,k,j);
*** HERE I WOULD LIKE TO CALL THE C++ FUNCTION WITH INPUTS n1,n2,string ***
end
end
So basically inside the loop matlab evaluates the inputs of the C++ function and writes within each iteration a txt files that is then read by the C++ function (the files gets overwritten so that the C++ function can read a new set of variables). At the end of the loop I would like to have something like 120 txt files each named differently and in an order that follows the cell array organization.
Is this task possible? I know that something called MEX files can be used but I know nothing about it.
I hope that I have explained myself clearly. Thanks.
I'm having some trouble getting Matlab to run an executable file. Essentially, I have a C++ code that does some calculations and outputs these calculations to a text file; then, Matlab reads these text files and uses the calculations to makes plots and stuff.
I've been trying to get Matlab to run the C++ exe file so that, when it runs it, the output files are automatically generated and Matlab can start doing its stuff. This just allows the user to run the program quicker. I am using the system() command Like so:
system('MyCppProgram.exe');
However, when I run that, although everything compiles, nothing is outputted from CPP and I even get back something that says "ans = -1" and I have no idea what that means.
Any help would be greatly appreciated. Thank you!
Update: Result from test command.
[status, cmdout] = system('MyCppProgram.exe', '-echo');
status = -1
cmdout = ''
I am doing image analysis using C++ in the QtCreator environment. In order to build a learning model, I want to use the TreeBagger class from MATLAB, which is really powerful. Can I call MATLAB from QtCreator, give it some parameters, and get back the classification error? Can I do this without using mex files?
From QProcess's Synchronous Process API example:
QProcess gzip;
gzip.start("gzip", QStringList() << "-c");
if (!gzip.waitForStarted())
return false;
gzip.write("Qt rocks!");
gzip.closeWriteChannel();
if (!gzip.waitForFinished())
return false;
QByteArray result = gzip.readAll();
The concept to from this example is the process of being able to execute matlab w/ whatever settings that would be preferable and begin writing a script to it immediately. After the write; you can close the channel, wait for response, then read the results from matlab. Uunfortunately, I'm not experienced w/ it to provide a more direct example, but this is the concept for the most case. Please research the documentation for anything else.
Matlab has an "engine" interface described here to let standalone programs call matlab functions. It has the advantage that you can call engPutVariableand engGetVariable to transfer your data in binary format (I think it works by using shared memory between your process and matlab, but I'm not sure on this), so you don't have to convert your data to ascii and parse the result from ascii.
For c++ you might want to write a wrapper class for RAII or have a look at http://www.codeproject.com/Articles/4216/MATLAB-Engine-API, where this has already been done.