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python: fix int32 output arrays on Windows by mapping 32-bit NPY_LONG - #29767 On Windows numpy spells `int32` as C `long`, so such arrays arrive as `NPY_LONG` (typenum 7) instead of `NPY_INT` (5). `numpyTypeToCvDepth()` has no case for it, so `pyopencv_to()` takes the cast-and-copy path — which is rejected for **output** arguments, even though the data is already bit-identical to `CV_32S`: ```python cv.watershed(img, np.int32(markers)) ``` ``` cv2.error: (-5:Bad argument) in function 'watershed' > Overload resolution failed: > - Layout of the output array markers is incompatible with cv::Mat ``` Three tests fail on Windows for this reason, all on an int32 output argument (`markers`, `detectedIds`): - `test_watershed` - `test_aruco_detector_refine` - `test_charuco_refine` ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake