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Drop pre-Julia 1.10 support #14

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Merged
merged 1 commit into from
Oct 24, 2024
Merged

Drop pre-Julia 1.10 support #14

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8 changes: 3 additions & 5 deletions Project.toml
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
name = "SliceSampling"
uuid = "43f4d3e8-9711-4a8c-bd1b-03ac73a255cf"
version = "0.6.1"
version = "0.6.2"

[deps]
AbstractMCMC = "80f14c24-f653-4e6a-9b94-39d6b0f70001"
Expand All @@ -12,7 +12,6 @@ LogDensityProblems = "6fdf6af0-433a-55f7-b3ed-c6c6e0b8df7c"
LogDensityProblemsAD = "996a588d-648d-4e1f-a8f0-a84b347e47b1"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Requires = "ae029012-a4dd-5104-9daa-d747884805df"
SimpleUnPack = "ce78b400-467f-4804-87d8-8f486da07d0a"

[weakdeps]
Turing = "fce5fe82-541a-59a6-adf8-730c64b5f9a0"
Expand All @@ -30,9 +29,8 @@ LogDensityProblems = "2"
LogDensityProblemsAD = "1"
Random = "1"
Requires = "1"
SimpleUnPack = "1"
Turing = "0.33, 0.34"
julia = "1.7"
Turing = "0.33, 0.34, 0.35"
julia = "1.10"

[extras]
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
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2 changes: 1 addition & 1 deletion docs/Project.toml
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Expand Up @@ -28,5 +28,5 @@ Random = "1"
SliceSampling = "0.6"
StableRNGs = "1"
Statistics = "1"
Turing = "0.34"
Turing = "0.34, 0.35"
julia = "1.10"
1 change: 0 additions & 1 deletion src/SliceSampling.jl
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Expand Up @@ -7,7 +7,6 @@ using Distributions
using FillArrays
using LinearAlgebra
using LogDensityProblems
using SimpleUnPack
using Random

# The following is necessary because Turing wraps all models with
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2 changes: 1 addition & 1 deletion src/multivariate/hitandrun.jl
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Expand Up @@ -26,7 +26,7 @@ struct HitAndRunTarget{Model, Vec <: AbstractVector}
end

function LogDensityProblems.logdensity(target::HitAndRunTarget, λ)
@unpack model, reference, direction = target
(; model, reference, direction) = target
LogDensityProblems.logdensity(model, reference + λ*direction)
end

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2 changes: 1 addition & 1 deletion src/multivariate/randpermgibbs.jl
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Expand Up @@ -32,7 +32,7 @@ struct GibbsTarget{Model, Idx <: Integer, Vec <: AbstractVector}
end

function LogDensityProblems.logdensity(gibbs::GibbsTarget, θi)
@unpack model, idx, θ = gibbs
(; model, idx, θ) = gibbs
LogDensityProblems.logdensity(model, (@set θ[idx] = θi))
end

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4 changes: 2 additions & 2 deletions test/Project.toml
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Expand Up @@ -18,5 +18,5 @@ MCMCTesting = "0.3"
Random = "1"
StableRNGs = "1"
Test = "1"
Turing = "0.33, 0.34"
julia = "1.6"
Turing = "0.33, 0.34, 0.35"
julia = "1.10"
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