BenchmarkDotNet VS adventofcode

Let’s look at the first example you see, when you open up BenchmarkDotnet’s website, or Github page.

Or use BenchmarkDotNet which, among other things to get an accurate benchmark, does JIT warmup outside of measurement.

( https://github.com/dotnet/BenchmarkDotNet ).

You can also do proper statistically correct benchmarking by using - https://github.com/dotnet/BenchmarkDotNet. This will run warmup the jit, gauge the overheads, and run your function many times to give you proper data.

take a look at: https://benchmarkdotnet.org/

Yes, weak references are slower than direct calls. How much slower? Heck if I know offhand. But it's usually pretty easy to set up something with Benchmark .NET and find out if it hurts your use case.

For this purpose we are going to use our beloved BenchmarkDotNet tool.

To quantify and compare the performance of the object mapping strategies discussed earlier, we can employ BenchmarkDotNet.

BenchmarkDotNet is a popular open-source library that, as stated in the repo's README.md, helps us to transform methods into benchmarks, track their performance, and share reproducible measurement experiments. Using BenchmarkDotNet feels similar to writing unit tests. It's very important to note that the library only works with console apps. Finally, we can visualize the results in the terminal where the benchmark ran or in user-friendly formats such as markdown, HTML and CSV. We will explore examples of there formats later in the article.

However, obviously this prevents parallelism within the lock, so this only makes sense if you do some other expensive operation in the parallel loop and the string builder is only a small part of it. Performance wise, it may be better to concatenate the results together after the parallel operation, instead of locking inside the loop. You'll have to benchmark it to know for sure.

We’re of course going to be using BenchmarkDotNet for our benchmarks, and you can find all of the code for these over at GitHub. To start, we need an entry point hook for our single Benchmark class that will be defining the permutations of scenarios that we’d like to run. This will be relatively basic as follows:

Code on GitHub is currently a mess.

In the spirit of the Day 5 ALLEZ CUISINE! challenge to ELI5 (Explain Like I'm Five), here's a tasty explanation of how my algorithm works using only a large bucket of Red Vines and a knife. It says to use lined paper, but if you try this at home consider aligning things on a cutting board.

[Language: Jsonnet] (on GitHub)

Elixir code, thoughts

Elixir 1554/1502 code, reflections

Elixir 2506/3402 (24 minutes, 2 hours), code, thoughts

Bonus solution in Go (golang) because I was confused about why my Elixir solution didn't work and decided to implement from scratch in case I'd done something dumb. The Go one also got the wrong answer, but took less than 100ms instead of a minute, so I could try out lots of tweaks that didn't change the answer.

Elixir 2031/2641 after 3.25/6.5 hours! Code on GitHub

I spent time this afternoon sprucing up my helpers for the iex REPL. I spent a bunch of time poking at things in IEx the last couple days and wanted to make sure I would minimize keystrokes if I needed to debug things on my phone while drunk. Turns out Thursday night > Friday night > Saturday night in terms of difficulty, so all those macros have so far saved me zero seconds :-)