Yalantis/uCrop · error · CImgArgumentException

[" cimg_appname "_math_parser] CImg<%s>::%s: %s: Type of fir

Error message

[" cimg_appname "_math_parser] CImg<%s>::%s: %s: Type of first argument ('%s') do not match with third argument ('%s'), in expression '%s'.

What it means

For operations between a source and destination matrix, both must share the same number of rows (hS == hD). When the row counts differ (i.e. size(source)/nb_colsS != size(destination)/nb_colsD), the parser throws this mismatch error naming the first and third arguments.

Source

Thrown at ucrop/src/main/jni/CImg.h:22656

                throw CImgArgumentException("[" cimg_appname "_math_parser] "
                                            "CImg<%s>::%s: %s: Type of first argument ('%s') "
                                            "do not match with second argument 'nb_colsS=%u', "
                                            "in expression '%s'.",
                                            pixel_type(),_cimg_mp_calling_function,s_op,
                                            s_type(arg1)._data,wS,s0);
              }
              if (wD*hD!=p2) {
                _cimg_mp_strerr;
                throw CImgArgumentException("[" cimg_appname "_math_parser] "
                                            "CImg<%s>::%s: %s: Type of third argument ('%s') "
                                            "do not match with fourth argument 'nb_colsD=%u', "
                                            "in expression '%s'.",
                                            pixel_type(),_cimg_mp_calling_function,s_op,
                                            s_type(arg3)._data,wD,s0);
              }
              if (hS!=hD) {
                _cimg_mp_strerr;
                throw CImgArgumentException("[" cimg_appname "_math_parser] "
                                            "CImg<%s>::%s: %s: Type of first argument ('%s') "
                                            "do not match with third argument ('%s'), "
                                            "in expression '%s'.",
                                            pixel_type(),_cimg_mp_calling_function,s_op,
                                            s_type(arg1)._data,s_type(arg3)._data,s0);
              }
              pos = vector(wS*wD);
              CImg<ulongT>::vector((ulongT)mp_mproj,pos,arg1,wS,hS,arg3,wD,arg5,arg6,p3).move_to(code);
              return_comp = true;
              _cimg_mp_return(pos);
            }

            if (!std::strncmp(ss,"mse(",4)) { // Mean-squared error
              _cimg_mp_op("Function 'mse()'");
              s1 = ss4; while (s1<se1 && (*s1!=',' || level[s1 - expr._data]!=clevel1)) ++s1;
              arg1 = compile(ss4,s1,depth1,0,block_flags);
              arg2 = compile(++s1,se1,depth1,0,block_flags);
              _cimg_mp_check_type(arg2,2,is_scalar(arg1)?1:2,size(arg1));

View on GitHub (pinned to f788b534b4)

Solutions

  1. Make size(S)/colsS equal size(D)/colsD by resizing one operand
  2. Recheck both column-count arguments; wrong values change implied row counts
  3. Print both vector sizes and column counts to verify row counts match
  4. Restructure the expression so both operands derive from the same geometry

Example fix

// before: S is 3x4 (12), D is 4x3 (12) but rows 3 != 4
op(S,D,4,3)
// after
op(S,D,4,4) // D resized to 3x4 (12 values) -> rows match
Defensive patterns

Strategy: validation

Validate before calling

size(source)/colsS == size(dst)/colsD || error "row counts differ"

Try / catch

try { run(expr) } catch (CImgArgumentException &e) { log(e.what()); }

Prevention

When it happens

Trigger: Two-matrix math-parser op where source and destination have different row counts, e.g. op(S,D,colsS,colsD) with size(S)/colsS != size(D)/colsD.

Common situations: Multiplying an m x n by a p x q matrix with p != m, forgetting to pad/crop the destination, or column-count typos that change the implied row count.

Understand the failure class

Background: Tensor shape mismatch errors ("must have shape", "expected shape ... got ..."): when tensor dimensions disagree with what an op or layer was told to expect — this error's family across 6 libraries.

Related errors

AI-assisted analysis of Yalantis/uCrop@f788b534b4 (2026-09-08). Data as JSON: /api/errors/f2e238d89b88a79a. Report an issue: GitHub.