Error in converting large array using

[binoyp]

For the following code

SectionPolygon::SectionPolygon(const int &npt, const py::array_t<double> &mat) {

// Following Code Works:
//     auto r = mat.unchecked<2>(); // mat must have ndim = 2; 
//    points = arma::mat(r.shape(0), r.shape(1));
//        for (ssize_t i = 0; i < r.shape(0); i++)
//            for (ssize_t j = 0; j < r.shape(1); j++)
//                points(i,j) = r(i,j);




    nPoints = npt;
    points = carma::arr_to_mat<double>(mat);  // Causes Error

}

Inputs : pts shape is (535,2)

 pts =np.array([
	[-121.15449157, 7.08765441],
	[-118.16564981, 6.51760372],
	[-115.14766845, 5.98635615],
	[-112.10806889, 5.49655813],
	[-109.05437256, 5.05085610],
	[-105.99410086, 4.65189652], .....])

pol = SectionPolygon(pts.shape[0], pts)

res = pol.AreaCentroid()
pol.PrintPoints()

Output

Polygon Points:
  1.2513e-311   7.0877e+00
  1.2513e-311   6.5176e+00
  -1.1515e+02   5.9864e+00
   ....

there are error in first element of first and second row.

There are no issues for smaller numpy arrays.

Compiler used is Visual Studio 2019

[RUrlus]

Thanks for the report, I tried reproducing locally, MacOS, just now but can't reproduce. I'll add bigger samples to the test run later this week.

In the mean time could you try and run the tests by adding-DBUILD_TESTS=true and running pytest in the build directory?
If you could increase the sample size in tests/arr_to_mat for the functions test_arr_to_mat_double and test_arr_to_mat_double_c_contiguous that would be much appreciated.

[RUrlus]

Could be due to the same underlying cause as #67

[RUrlus]

Resolved in b159447