TS: fix Python v2/v3 compatibility (#12667)

* TS: fix Python2.7 compatibility

* TS: fix Python3 compatibility

* py3: use integer division '/' => '//' instead of cast

  especially if it matches the module being tested

* Cleanup macros and enable expansion of `__VA_ARGS__` for Visual Studio

* Macros for enum-arguments backwards compatibility

* Convert struct Param to enum struct

* Enabled ParamType.type for enum types

* Enabled `cv.read` and `cv.write` for enum types

* Rename unnamed enum to AAKAZE.DescriptorType

* Rename unnamed enum to AccessFlag

* Rename unnamed enum to AgastFeatureDetector.DetectorType

* Convert struct DrawMatchesFlags to enum struct

* Rename unnamed enum to FastFeatureDetector.DetectorType

* Rename unnamed enum to Formatter.FormatType

* Rename unnamed enum to HOGDescriptor.HistogramNormType

* Rename unnamed enum to DescriptorMatcher.MatcherType

* Rename unnamed enum to KAZE.DiffusivityType

* Rename unnamed enum to ORB.ScoreType

* Rename unnamed enum to UMatData.MemoryFlag

* Rename unnamed enum to _InputArray.KindFlag

* Rename unnamed enum to _OutputArray.DepthMask

* Convert normType enums to static const NormTypes

* Avoid conflicts with ElemType

* Rename unnamed enum to DescriptorStorageFormat

* core: drop usage of CV_USRTYPE1 in OpenCV

avoid OpenCV crashes due size change CV_ELEM_SIZE(CV_USRTYPE1): 8 -> 2

* ! fix persistence internal types

- DNN: avoid very large models
- build filter per module
- fixed longTestFilter

* added basic support for CV_16F (the new datatype etc.). CV_USRTYPE1 is now equal to CV_16F, which may break some [rarely used] functionality. We'll see

* fixed just introduced bug in norm; reverted errorneous changes in Torch importer (need to find a better solution)

* addressed some issues found during the PR review

* restored the patch to fix some perf test failures

Helper script from googletest: ./scripts/fuse_gtest_files.py

Found via `codespell -q 3 -I ../opencv-whitelist.txt --skip="./3rdparty"`

Example (reuse 'Transform' test case):
PERF_TEST(Transform, getPerspectiveTransform_1000) { ... }
PERF_TEST(Transform, getPerspectiveTransform_QR_1000) { ... }

* core:OE-27 prepare universal intrinsics to expand (#11022)

* core:OE-27 prepare universal intrinsics to expand (#11022)

* core: Add universal intrinsics for AVX2

* updated implementation of wide univ. intrinsics; converted several OpenCV HAL functions: sqrt, invsqrt, magnitude, phase, exp to the wide universal intrinsics.

* converted log to universal intrinsics; cleaned up the code a bit; added v_lut_deinterleave intrinsics.

* core: Add universal intrinsics for AVX2

* fixed multiple compile errors

* fixed many more compile errors and hopefully some test failures

* fixed some more compile errors

* temporarily disabled IPP to debug exp & log; hopefully fixed Doxygen complains

* fixed some more compile errors

* fixed v_store(short*, v_float16&) signatures

* trying to fix the test failures on Linux

* fixed some issues found by alalek

* restored IPP optimization after the patch with AVX wide intrinsics has been properly tested

* restored IPP optimization after the patch with AVX wide intrinsics has been properly tested

to allow pass `--test_bigdata` via run.py

Pass --test_bigdata to allow launching of "BigData" tests.

__ridx__ is an _undefined name_ in this context but __self.ridx__ is used three other times in this method and nine times in this class.  Undefined names may raise [NameError](https://docs.python.org/3/library/exceptions.html#NameError) at runtime.

flake8 testing of https://github.com/opencv/opencv

$ __flake8 . --count --select=E901,E999,F821,F822,F823 --show-source --statistics__
```
./modules/ts/misc/table_formatter.py:50:23: F821 undefined name 'ridx'
            self.rows[ridx + 1].props = properties
                      ^
```

  * restore resize of carotene
  * clean up the source code
  * remove unused member function (Near)
  * add strict test on the border

define itself is still here for compatibility

- disable "-Wsuggest-override" in tests