Comments (4)
I just played with Soss and this example, it seems that JuliaVariables.jl gets broken in 1.7
Will investigate this tonight.
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Sorry for the delay on this. I've just released a new version that works with the latest MeasureTheory, so I think we can address this in a minor release.
The problem comes from this:
@gg function _rand(M::Type{<:TypeLevel}, _m::Model, _args)
body = type2model(_m) |> sourceRand() |> loadvals(_args, NamedTuple())
@under_global from_type(_unwrap_type(M)) @q let M
$body
end
end
@thautwarm I don't understand what this let M
without a binding is doing. I think it would be ok to change all M
references to _M
, but even better would be to gensym the name. Do you see a way for that to work? Or if not we can just use _M
or some more complicated version.
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Hope I can give some results tomorrow.
Debugging GG functions is hard, and I should make it support viewing the generated code with InteractiveUtils.less
.
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Sounds good. Thanks for digging into this!
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Related Issues (20)
- What am I doing wrong? HOT 3
- Examples page in documentation does not exist HOT 1
- sample(...) does not work HOT 9
- No more Soss.predict() methods for densities from Distributions.jl HOT 3
- Implemention of Gaussian mixture model fails when sampling the posterior HOT 4
- Collision of filenames on OS X HOT 3
- Int argument for predict function HOT 2
- Follow Traditional Style Guide? (At least in public API)
- Help fitting a simple t distribution HOT 4
- For(...) do i ... broken using Soss with [email protected] or later HOT 4
- Empty model in predict HOT 6
- Modeling discrete variables
- CSV interference HOT 1
- dynamicHMC UndefVarError
- Precompilation warning HOT 2
- Example in Readme fails HOT 7
- README example fails HOT 32
- Empty transform with (new) Soss.as HOT 4
- Unable to sample posterior of the MC example from JuliaCon 2021 HOT 3
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