Optimisation Info Capturing (#8)

[stefan-grafberger]

Issue #, if available: #8

Description of changes:

• For each instrumented operator, we now capture the execution time, the output shape, and its memory usage.
• Especially memory usage tracking is tricky and requires custom handling for objects from different libraries.
• Used the execution time tracking to provide execution time estimates and log it prior to the execution of generated plans.

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

[stefan-grafberger]

Codecov Report

Merging #10 (593744e) into main (a5652f1) will decrease coverage by 0.03%. The diff coverage is 96.08%.

@@            Coverage Diff             @@
##             main      #10      +/-   ##
==========================================
- Coverage   96.09%   96.05%   -0.04%     
==========================================
  Files          22       23       +1     
  Lines        2174     2357     +183     
==========================================
+ Hits         2089     2264     +175     
- Misses         85       93       +8     

Impacted Files	Coverage Δ
mlwhatif/execution/_stat_tracking.py	92.78% <92.78%> (ø)
mlwhatif/monkeypatching/_patch_pandas.py	89.70% <95.00%> (+0.33%)	:arrow_up:
mlwhatif/execution/_multi_query_optimizer.py	100.00% <100.00%> (ø)
mlwhatif/instrumentation/_dag_node.py	100.00% <100.00%> (ø)
mlwhatif/monkeypatching/_monkey_patching_utils.py	94.82% <100.00%> (+0.12%)	:arrow_up:
mlwhatif/monkeypatching/_patch_numpy.py	100.00% <100.00%> (ø)
mlwhatif/monkeypatching/_patch_sklearn.py	99.37% <100.00%> (+0.02%)	:arrow_up:
mlwhatif/testing/_testing_helper_utils.py	91.93% <100.00%> (ø)
mlwhatif/visualisation/_visualisation.py	100.00% <100.00%> (ø)