mersenne-twister-predictor
Predict MT19937 PRNG, from preceding 624 generated numbers. There is a specialization for the "random" of Python standard library. (by kmyk)
sfmt
sfmt-erlang: SIMD-oriented Fast Mersenne Twister (SFMT) for Erlang (by jj1bdx)
| mersenne-twister-predictor | sfmt | |
|---|---|---|
| 1 | - | |
| 121 | 70 | |
| - | - | |
| 0.4 | 4.4 | |
| over 3 years ago | over 2 years ago | |
| Python | Erlang | |
| - | BSD 2-clause "Simplified" License |
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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.
mersenne-twister-predictor
Posts with mentions or reviews of mersenne-twister-predictor.
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An interesting legaladvice post regarding PoE's disability treatment
So, extracting information out of a completely unknown random generator is already pretty tricky. If you know you are dealing with a mersenne twister it is doable for sure, but even if you are dealing with the pretty basic MT19937 (which has a period of 219937-1) which is for instance included in the c standard library you need a few hundred numbers (https://github.com/kmyk/mersenne-twister-predictor) to guess the next one. This assumes that you have those exact numbers. Network latency (unless GGG would track the data directly on the client, fair enough) would muddy it further so that you would need a larger amount of data to verify it. How much more I have no fucking clue.
sfmt
Posts with mentions or reviews of sfmt.
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We haven't tracked posts mentioning sfmt yet.
Tracking mentions began in Dec 2020.