Skip to main content

interoperability - Handling error in WSTP program C/C++


I have a program, written in C++, which uses WSTP to communicate with Mathematica 10 (i.e., linked using Install["name_program"]).


How should my code report an internal error? I've read through the WRI docs on Error and Interrupt Handling, but unfortunately they only talk about an instance where there are problems with the connection between the program and Mathematica, which doesn't apply to my case.


Example:


extern "C" int get_number(int param)
{
try
{

//calculate result
return result;
}
catch(...)
{
//What should be here?
}
}

Answer



tl; dr Report errors through return values. MathLink programs can return any Mathematica expression they like which makes structured error handling possible.





It looks like you have a function that returns integers with a template like


:Begin:
:Function: get_number
:Pattern: getNumber[x_Integer]
:Arguments: {x}
:ArgumentTypes: {Integer32}
:ReturnType: Integer32
:End:


Use a Manual return type instead:


:Begin:
:Function: get_number
:Pattern: getNumber[x_Integer]
:Arguments: {x}
:ArgumentTypes: {Integer32}
:ReturnType: Manual
:End:

Then you can return any expression you like, not just integers:



void get_number(int param) {
...
if (success)
MLPutInteger32(stdlink, result);
else
MLPutSymbol(stdlink, "$Failed");
}

You can return a symbol such as $Failed or a compound expression with some information about the error, e.g. myPackage`myError[12, "this is an error"].


Then instead of exposing getNumber on the Mathematica side to the user, create a wrapper for it that will handle the return values with pattern matching and whatever is needed on errors, e.g. issue a Message.



Comments

Popular posts from this blog

plotting - Filling between two spheres in SphericalPlot3D

Manipulate[ SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, Mesh -> None, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], {n, 0, 1}] I cant' seem to be able to make a filling between two spheres. I've already tried the obvious Filling -> {1 -> {2}} but Mathematica doesn't seem to like that option. Is there any easy way around this or ... Answer There is no built-in filling in SphericalPlot3D . One option is to use ParametricPlot3D to draw the surfaces between the two shells: Manipulate[ Show[SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], ParametricPlot3D[{ r {Sin[t] Cos[1.5 Pi], Sin[t] Sin[1.5 Pi], Cos[t]}, r {Sin[t] Cos[0 Pi], Sin[t] Sin[0 Pi], Cos[t]}}, {r, 1, 2 - n}, {t, 0, Pi}, PlotStyle -> Yellow, Mesh -> {2, 15}]], {n, 0, 1}]

plotting - Plot 4D data with color as 4th dimension

I have a list of 4D data (x position, y position, amplitude, wavelength). I want to plot x, y, and amplitude on a 3D plot and have the color of the points correspond to the wavelength. I have seen many examples using functions to define color but my wavelength cannot be expressed by an analytic function. Is there a simple way to do this? Answer Here a another possible way to visualize 4D data: data = Flatten[Table[{x, y, x^2 + y^2, Sin[x - y]}, {x, -Pi, Pi,Pi/10}, {y,-Pi,Pi, Pi/10}], 1]; You can use the function Point along with VertexColors . Now the points are places using the first three elements and the color is determined by the fourth. In this case I used Hue, but you can use whatever you prefer. Graphics3D[ Point[data[[All, 1 ;; 3]], VertexColors -> Hue /@ data[[All, 4]]], Axes -> True, BoxRatios -> {1, 1, 1/GoldenRatio}]

plotting - Mathematica: 3D plot based on combined 2D graphs

I have several sigmoidal fits to 3 different datasets, with mean fit predictions plus the 95% confidence limits (not symmetrical around the mean) and the actual data. I would now like to show these different 2D plots projected in 3D as in but then using proper perspective. In the link here they give some solutions to combine the plots using isometric perspective, but I would like to use proper 3 point perspective. Any thoughts? Also any way to show the mean points per time point for each series plus or minus the standard error on the mean would be cool too, either using points+vertical bars, or using spheres plus tubes. Below are some test data and the fit function I am using. Note that I am working on a logit(proportion) scale and that the final vertical scale is Log10(percentage). (* some test data *) data = Table[Null, {i, 4}]; data[[1]] = {{1, -5.8}, {2, -5.4}, {3, -0.8}, {4, -0.2}, {5, 4.6}, {1, -6.4}, {2, -5.6}, {3, -0.7}, {4, 0.04}, {5, 1.0}, {1, -6.8}, {2, -4.7}, {3, -1.