Generalize jmh-table.py into a reusable visualization for any JMH benchmark

[neoremind]

Description

Spinoff from #15950 as @mikemccand suggested. The jmh-table.py visualization introduced in this PR for ScoreDoc sort benchmark is really cool, it's already a near-general solution.

One enhancement is: the script currently hardcodes size and distribution which ties specifically to ScoreDocSortBenchmark. It would be better to generalize this into a reusable tool that works with any of lucene's JMH benchmarks by auto-discovering @Param names.

As a motivating example, @gsmiller's PartitionByLeafBenchmark in #15938 has different params and he had to manually feed results to AI to build a better visual summary table. A generalized jmh-table.py as a Skill-ish tool would have worked out of the box.

[mikemccand]

This would be amazing, and it sounds like it's not so hard. Then we'd have highly visual summary like this... visualizations are powerful because they leverage the amazing highly concurrent computer that is our visual system ... at a glance we can learn so much more, than if we stare and stare and stare at a big table of numbers. It's kind of a form of mechanical sympathy....: