Port instrumented testing to python

Since an unknown amount of time the instrumented CI has been a bit
flawed, explained here
#5185. It also
experiences random timeout issues where restarting the workflow fixes it
or very long run times (more than other workflows) and is not very
portable.

The intention of this commit is to port the instrumented.sh to python
which also works on other operating systems. It should also be
relatively easy for beginners to add new tests to assert stockfish's
output and to run it.
From the source directory the following command can be run.

`python3 ../tests/instrumented.py --none ./stockfish`

A test runner will go over the test suites and run the test cases.

All instrumented tests should have been ported over.
The required python version for this is should be 3.7 (untested),
testing.py includes some infrastructure code which setups the testing.

fixes #5185
closes #5583

No functional change

.github/workflows/sanitizers.yml

@@ -75,4 +75,4 @@ jobs:
           export CXXFLAGS="-O1 -fno-inline"
           make clean
           make -j4 ARCH=x86-64-sse41-popcnt ${{ matrix.sanitizers.make_option }} debug=yes optimize=no build > /dev/null
-          ../tests/instrumented.sh --${{ matrix.sanitizers.instrumented_option }}
+          python3 ../tests/instrumented.py --${{ matrix.sanitizers.instrumented_option }} ./stockfish

.gitignore

@@ -10,3 +10,8 @@ src/-lstdc++.res
 # Neural network for the NNUE evaluation
 **/*.nnue
 
+# Files generated by the instrumented tests
+tsan.supp
+__pycache__/
+tests/syzygy
+tests/bench_tmp.epd