Add benchmark for rispy

[J535D165]

This PR introduces a simple benchmark tool for the performance of rispy. The benchmark consists of 10k identical records, which are parsed 100 times.

I will use this PR in an upcoming PR with performance improvements.

@holub008 @shapiromatron @PeterLombaers

[PeterLombaers]

It might be a good idea to use a tool like pytest-benchmark when benchmarking pieces of code. That makes the benchmark results a bit more reliable, it will warm up your machine before running the benchmark, run it multiple times and calculate error margins based on that.

[J535D165]

Nice tool, I wanted to avoid introducing new dependencies, but this one looks worth it. I am happy to implement it now or later. Can the maintainers @shapiromatron @MrTango point us in the right direction?

Btw, I published some results in PR #66.

[shapiromatron]

Let's implement now in this PR; that seems like a worthwhile dev dependency. Looking forward to this and the other PRs that you're queuing up!

[J535D165]

Thanks for the suggestion @PeterLombaers. Can you review @shapiromatron?

I disabled the single tests for now as they mess up the comparison table a bit (us vs ms).

--------------------------------------------------------------------------------------------- benchmark: 2 tests --------------------------------------------------------------------------------------------
Name (time in ms)                             Min                 Max                Mean             StdDev              Median                IQR            Outliers     OPS            Rounds  Iterations
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
test_benchmark_rispy_large               484.5452 (1.0)      517.4370 (1.0)      502.2159 (1.0)      14.4051 (1.0)      499.9848 (1.0)      25.6566 (1.0)           2;0  1.9912 (1.0)           5           1
test_benchmark_rispy_large_multiline     569.1948 (1.17)     626.2228 (1.21)     592.6684 (1.18)     27.2004 (1.89)     581.3098 (1.16)     50.2680 (1.96)          1;0  1.6873 (0.85)          5           1
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Legend:
  Outliers: 1 Standard Deviation from Mean; 1.5 IQR (InterQuartile Range) from 1st Quartile and 3rd Quartile.
  OPS: Operations Per Second, computed as 1 / Mean

[shapiromatron]

LGTM - I had two minor comments to address, but it looks fine, after those two comments are addressed.

[J535D165]

Good, will fix this over the weekend.

[shapiromatron]

It feels ironic after you waited 6+ months for me to review this, but now that there's a little momentum, could you fix please when you have a moment? I'd like to cut a new release soon. Thank you!

[J535D165]

Done :)