RandomExtensions.jl

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Bumps [julia-actions/setup-julia](https://github.com/julia-actions/setup-julia) from 1 to 2. Release notes Sourced from julia-actions/setup-julia's releases. v2.0.0 - Update to Node20 What's Changed update to node20 by @​ranocha in julia-actions/setup-julia#209 Note the rationale for...

dependabot[bot]

Bumps [codecov/codecov-action](https://github.com/codecov/codecov-action) from 3 to 4. Release notes Sourced from codecov/codecov-action's releases. v4.0.0 v4 of the Codecov Action uses the CLI as the underlying upload. The CLI has helped to...

dependabot[bot]

`random_staticarrays` does not work in Julia 1.9

1

I am right now updating the README (PR will come shortly). Doing so I noticed that the README suggests: ``` julia> RandomExtensions.random_staticarrays() # poor man's conditional modules! # ugly warning...

fingolfin

A lot of ambiguities due to too general `rand`signatures

1

We are still using this quite heavily in Oscar land, but after playing around with https://github.com/JuliaTesting/Aqua.jl (which helps detecting method ambiguities), I noticed that RandomExtensions.jl leads to a lot of...

thofma

array generation: allow specifying dims as distributions

4

The number of dimensions is still fixed, but the sizes can be computed at runtime, when specified as a distributions. For example `rand(make(Vector, Int, 1:3))` creates a `Vector{Int}` of random...

rfourquet

sprand as samples from sparse distribution

3

I was thinking, in the spirit of this package, maybe `rand(Normal(),SparseMatrixCSC,p,m,n) ` could be better expressed as `rand(Bernoulli(p,Normal()),SparseMatrixCSC,m,n)` where `Bernoulli(p, Normal())` would be the "Gauss-Bernoulli" or "Spike-and-Slab" mixture distribution P(x)...

abraunst

rfourquet