trippy VS tokei

[3] https://github.com/fujiapple852/trippy/issues/1104

You are right that showing packet loss for intermediate hops is a frequent source of confusion.

Rather than leave it out, I added a status column which shows different statuses for intermediate hops (blue if the hop responds to less than 100% of probes and brown if it responds to 0%) vs the target hop (amber and red).

Where this breaks down is when dealing with ECMP for UDP & TCP tracing, as a given hop (ttl) may represent the target for a given round of tracing but not for the next. The mistake, imho, is to associate _any_ data with a hop (ttl) rather than the hop in the context of a tracing flow.

That is why Trippy had a number of features aimed at helping with ECMP, such as Paris and Dublin tracing, and the ability to filter tracing by unique flow id. I've covered these quite a bit in the 0.8.0 [0] and 0.9.0 [1] release notes if you want to know more.

[0] https://github.com/fujiapple852/trippy/releases/tag/0.8.0

Tracing flows: breakdown complex UDP/TCP ECMP traces into individual flows (i.e. common network path); render a chart of flows in GraphViz DOT format (example)

u/queiss_ the 0.8.0 release note has a section covering this, but the TL;DR is:

So If we would only count code and not comments, it is only 9489 LoC Rust. Which would be about 0.03% and if we take all lines and not only LoC it would be around 0.05%

[0] https://github.com/XAMPPRocky/tokei

[1] https://github.com/torvalds/linux/commit/b401b621758e46812da...

thirdly: found this (https://github.com/XAMPPRocky/tokei) and wanted to analyze languages used on my system, didn't see a package manager (apt) for it that I had. So i installed cargo via apt-get rustup. Added the bin folder to $PATH via PATH=$PATH:~/.cargo/bin. But did not make it permanent. And stupidly rand tokei on "/", realizing how long and unhelpful that would be killed it. Then ran it in a dump folder with some very nested repo dumps, and tons of wolfram.nb files. After killing that too, and attempting to kill via system monitor. Still have two of those as zombie processes.

tokei

For what it's worth, tokei seems to be named after tokei.

BTW, for more info on how it is done, you can check out tokei which is the library use by onefetch for code statistics.

With pytokei you can count code quickly using all the power from tokei, but from python.

Tokei is a nice utility to count lines and stats of code. It is very fast, accurate, and has a nice output. It supports over 150 languages and can output in JSON, YAML, CBOR, and human-readable tables.