Merge pull request #25492 from alexlyulkov:al/range-fixed-5.x

Fixed ONNX Range layer to support any input type #25492

Fixed ONNX Range layer to support any input type

Extra PR: https://github.com/opencv/opencv_extra/pull/1173
Fixes #25363

### 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

modules/dnn/test/test_onnx_importer.cpp

@@ -807,14 +807,26 @@ TEST_P(Test_ONNX_layers, CumSumExclusiveInplace)
     testONNXModels("cumsum_exclusive_inplace");
 }
 
-// Issue: https://github.com/opencv/opencv/issues/25363
-// The issue was addressed in 4.x, but the solution does not fit 5.x design
-TEST_P(Test_ONNX_layers, DISABLED_Range)
+TEST_P(Test_ONNX_layers, RangeFloat)
 {
     testONNXModels("range_float");
     testONNXModels("range_float_negative");
 }
 
+TEST_P(Test_ONNX_layers, RangeInt32)
+{
+    testONNXModels("range_int32");
+    testONNXModels("range_int32_negative");
+}
+
+TEST_P(Test_ONNX_layers, RangeInt64)
+{
+    if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH)
+        applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_NGRAPH); // OpenVINO uses int32 precision for int64 operations
+    testONNXModels("range_int64");
+    testONNXModels("range_int64_negative");
+}
+
 TEST_P(Test_ONNX_layers, Eltwise3D)
 {
 #if defined(INF_ENGINE_RELEASE) && INF_ENGINE_VER_MAJOR_LT(2021040000)