zephyrus-sc2-parser
nom
zephyrus-sc2-parser | nom | |
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6 | 85 | |
37 | 9,020 | |
- | 0.9% | |
0.0 | 7.4 | |
12 months ago | 8 days ago | |
Python | Rust | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
zephyrus-sc2-parser
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Show HN: Rust nom parsing Starcraft2 Replays into Arrow for Polars data analysis
This is insanely cool! Very impressed you managed to implement a full parser in Rust.
I implemented a basic one in Rust a while back: https://github.com/ZephyrBlu/rust-parser
And a full one in Python with a few bells and whistles ages ago: https://github.com/ZephyrBlu/zephyrus-sc2-parser
Don't maintain either of them though :(, and the Rust one is super rough.
SC2 is a very interesting area for data analysis, but at the same time I found it very challenging. There is so much nuance and inconsistency across games it can be really hard to do accurately do things like categorize builds or measure build timings.
The area I ended up focusing on was builds, and I feel like I did some interesting stuff there: https://sc2.gg/reports/top-openings-2022/.
I found personal statistics less interesting than aggregate statistics. Even pro games are very volatile, ladder games even more so. Extremely hard to get reliable signal out of them if you're trying to track things across games. Even simple things like Collection Rate are poor indicators without significant categorization work (Matchup, build, opponent build, etc).
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Tools for analyzing the meta: build play rate, build win rate and build trees
There is the sc2reader parser which has been around for a while, and I also have a Python parser.
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Predicting Match Win Probability using Game Statistics
Check out this guy's work, he tracks a lot of details. https://app.zephyrus.gg/login https://github.com/ZephyrBlu/zephyrus-sc2-parser
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How to get first job as swe: two cents from an "experienced" FANG engineer
This is one of the projects I've been working on for over a year: https://github.com/ZephyrBlu/zephyrus-sc2-parser.
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I Will Be Your Personal SC2 Analyst for $10
I love analyzing SC2. I wrote my own replay parser, I created a replay analysis site (FYI this is an old video) and I regularly post graphics of stats/analyses such as:
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Statistics about IEM Katowice 2021
This is the parser: https://github.com/ZephyrBlu/zephyrus-sc2-parser
nom
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Planespotting with Rust: using nom to parse ADS-B messages
Just in case you are not familiar with nom, it is a parser combinator written in Rust. The most basic thing you can do with it is import one of its parsing functions, give it some byte or string input and then get a Result as output with the parsed value and the rest of the input or an error if the parser failed. tag for example is used to recognize literal character/byte sequences.
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Show HN: Rust nom parsing Starcraft2 Replays into Arrow for Polars data analysis
I may be the only one not familiar, but nom refers to https://github.com/rust-bakery/nom which looks like a pretty handy way to parse binary data in Rust.
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Is this a good way to free up some memory?
Lots of people use nom for their parsing needs, but that's not the only game in town and there other options.
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What is the state of the art for creating domain-specific languages (DSLs) with Rust?
As much as I love nom as well as other parser combinator libraries, regex-based parsers, BNF/EBNF-based parsers, etc. I always end up going back to plain old text-based char-by-char scanners.
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What's everyone working on this week (22/2023)?
I am using nom / nom_locate to build the parser side because I've done a handful of other projects with it, and I plan to use tower-lsp to hook up the language server side.
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Tokenizing
Look into a parsing library such as https://github.com/rust-bakery/nom
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Something like pydantic but for just strings?
If we were in /r/learnrust I'd have recommended the nom crate for this.
- Nom: Parser Combinators Library in Rust
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lua bytecode parser written in rust
Thanks to the flexibility of [nom](https://github.com/rust-bakery/nom), it is very easy to write your own parser in rust, read [this article](https://github.com/metaworm/luac-parser-rs/wiki/Write-custom-luac-parser) to learn how to write a luac parser
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Should I revisit my choice to use nom?
I've been working on an assembler and right now it uses nom. While nom isn't great for error messages, good error messages will be important for this particular assembler (current code), so I've been attempting to use the methods described by Eyal Kalderon in Error recovery with parser combinators (using nom).
What are some alternatives?
s2protocol-rs - Starcraft 2 Protocol Replay Reader
pest - The Elegant Parser
mpq - Decoder/parser of Blizzard's MPQ archive file format
lalrpop - LR(1) parser generator for Rust
rust-parser
combine - A parser combinator library for Rust
pdx-tools - View maps, graphs, and tables of your save and compete in a casual, evergreen leaderboard of EU4 achievement speed runs. Upload and share your save with the world.
pom - PEG parser combinators using operator overloading without macros.
s2prot - Decoder/parser of Blizzard's StarCraft II replay file format (*.SC2Replay)
rust-peg - Parsing Expression Grammar (PEG) parser generator for Rust
SimpleDating - Open-source, free-to-use, non-profit dating application.
chumsky - Write expressive, high-performance parsers with ease.