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This is reproducible:
```
sage: [random_matrix(GF(2), 25000, 25000).rank() for i in range(5)]
[19937, 19937, 19937, 19937, 19937]
```
A functionally equivalent computation:
```
sage: u = MatrixSpa…
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I just stumbled across this project and was interested to test it out and compare performance with GMP. I am writing software to factor Mersenne numbers, and my use case deals mostly with 1 to 2 limb…
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Glow currently uses the Mersenne Twister engine, which is `std::mt19937`.
It turns out that this random number generator seeded with the same values generates different random numbers depending on …
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I know this is a reference implementation, but it's the one that uses the `iscc` package name on PyPI and as such will be the most used. Thus, here's a big performance suggestion.
The bottleneck i…
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We are currently in a phase of finetuning our network parameters for training the network, which is unfortunately hard to do, when the output of the neural network is to a certain degree random and no…
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Each language here uses different RNGs.
If this test is for the performance of each builtin PRNG, this is fair, otherwise a single random implementation should be used for each language.
For example…
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The default random engine (`std::minstd_rand0`) produces a highly correlated initial distribution when varying the seeds (tested with clang 19.1.0 and seems to be the same for all prior versions):
``…
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This was discussed in here:
For testing/benchmarking dictionary encoding its useful to control the number of repeated values and it would also be good to optionally include null values. The ab…
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I run `kiwix-build --target-platform native_static kiwix-desktop `.
During `qt` build there appears an error:
> build qt (native_static):
configure qt : ....ERROR
run command '/opt/kiwix_build…
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6a( IO Bool) -> Integer -> IO Bool
isMersennePrime f n =
do
isP