# \`data\[i, "γ (N/m)"\] ~ Normal(γ\_pred, σ)\` disallowed in Turing.jl in v0.42? how to fix?

**URL:** <https://discourse.julialang.org/t/data-i-n-m-normal-pred-disallowed-in-turing-jl-in-v0-42-how-to-fix/135438>\
**Category:** Probabilistic Programming\
**Created:** [February 4, 2026, 3:39am UTC](https://discourse.julialang.org/t/data-i-n-m-normal-pred-disallowed-in-turing-jl-in-v0-42-how-to-fix/135438 "2026-02-04T03:39:20Z")\
**Posts on this page:** 3\
**Page:** 1

<div class="post-metadata">

**Author:** ![Cory\_Simon](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/cory_simon/32/3950_2.png) [@Cory\_Simon](https://discourse.julialang.org/u/Cory_Simon)\
**Post date:** [February 4, 2026, 3:39am UTC](https://discourse.julialang.org/t/data-i-n-m-normal-pred-disallowed-in-turing-jl-in-v0-42-how-to-fix/135438/1 "2026-02-04T03:39:20Z")

</div>

a `Turing.jl` breaking changes question:  
I updated `↑ Turing v0.41.1 ⇒ v0.42.8`, then my code broke.

is `data[i, "γ (N/m)"] ~ Normal(γ_pred, σ)` disallowed now? see code and error below.

I looked for breaking changes in 0.42.0 release [here](https://github.com/TuringLang/Turing.jl/releases/tag/v0.42.0) but didn’t see a breaking change regarding this.

many years ago, I learned from the Bayesian ODE tutorial [here](https://turinglang.org/docs/tutorials/bayesian-differential-equations/) and it changed to a vectorized statement `data[:, i] ~ arraydist(Poisson.(q .* predicted[i] .+ ϵ))` but I tried a similar expression, and the error remains!

## the code

```Julia
@model function cmc_model(data::DataFrame)
	# surface tension of pure water
	@assert data[1, "[S] (mol/m³)"] == 0.0
	γ₀_obs = data[1, "γ (N/m)"]
		
	#=
	prior distributions
	=#
	γ₀ ~ Normal(γ₀_obs, σ) # N/m
	a ~ Uniform(0.001, 0.1) # N/m
	K ~ Uniform(0.0, 10000.0) # (mol/m³)⁻¹
	if surfactant == "OTG"
		c★ ~ Uniform(0.0, 30.0) # mol / m³
	elseif surfactant == "Triton-X-100"
		c★ ~ LogUniform(0.001, 10.0) # mol / m³
	end
	
	#=
	show data
	=#
	for i = 2:nrow(data)
		# surfactant concentration
		cᵢ = data[i, "[S] (mol/m³)"]
		
		# predicted surface tension
		γ_pred = γ_model(cᵢ, γ₀, a, K, c★)
		
		data[i, "γ (N/m)"] ~ Normal(γ_pred, σ)
	end
	
	return nothing
end

```

## the error

```Julia
MethodError: no method matching possible(::typeof(BangBang._setindex!), ::DataFrames.DataFrame, ::Float64, ::Int64, ::String)
The function `possible` exists, but no method is defined for this combination of argument types.

```

---

<div class="post-metadata">

**Author:** ![penelopeysm](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/penelopeysm/32/213172_2.png) [@penelopeysm](https://discourse.julialang.org/u/penelopeysm)\
**Post date:** [February 4, 2026, 6:31pm UTC](https://discourse.julialang.org/t/data-i-n-m-normal-pred-disallowed-in-turing-jl-in-v0-42-how-to-fix/135438/2 "2026-02-04T18:31:02Z")

</div>

Hello! It’s possible that something broke, but I’d need more details to be able to look into it. I can’t run your code since I don’t have the DataFrame input. In the absence of that, a full stack trace would probably be the minimum needed to debug this since the error is not in Turing.jl but rather BangBang.jl so I’d need to see that in order to know how & where this is getting called. If you can copy paste the full error here that would be very helpful.

If you [submit an issue on Turing.jl](https://github.com/TuringLang/Turing.jl/issues/new?template=01-bug-report.yml) we also ask for the full output of `] st--manifest`. That would also help us identify if it’s a sub-dependency because Turing directly & indirectly depends on a lot of libraries.

---

<div class="post-metadata">

**Author:** ![Cory\_Simon](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/cory_simon/32/3950_2.png) [@Cory\_Simon](https://discourse.julialang.org/u/Cory_Simon)\
**Post date:** [February 9, 2026, 7:51pm UTC](https://discourse.julialang.org/t/data-i-n-m-normal-pred-disallowed-in-turing-jl-in-v0-42-how-to-fix/135438/3 "2026-02-09T19:51:38Z")

</div>

thank you, Penelope!

I posted an issue on Github as you suggested.

> <https://github.com/TuringLang/Turing.jl/issues/2771>
>
> \### Minimal working example
> 
> \`\`\`julia
> using DataFrames, Turing
> \# my data
> data = …DataFrame(
> "\[S\] (mol/m³)" =\> \[0.0, 30.0, 3.0\],
> "γ (N/m)" =\> \[71.87, 29.54, 44.2325\] / 1000.0
> )
> 
> \# my forward model
> function γ\_model(c, γ₀, a, K, c★)
> if c \< c★
> return γ₀ - a \* log(1 + K \* c)
> else
> return γ₀ - a \* log(1 + K \* c★)
> end
> end
> 
> @model function cmc\_model(data::DataFrame)
> 
> σ = 0.001
> 	
> # surface tension of pure water
> γ₀\_obs = data\[1, "γ (N/m)"\]
> 		
> #=
> prior distributions
> =#
> γ₀ ~ Normal(γ₀\_obs, σ) # N/m
> a ~ Uniform(0.001, 0.1) # N/m
> K ~ Uniform(0.0, 10000.0) # (mol/m³)⁻¹
> c★ ~ Uniform(0.0, 30.0) # mol / m³
> 	
> #=
> show data
> =#
> for i = 2:nrow(data)
> # surfactant concentration
> cᵢ = data\[i, "\[S\] (mol/m³)"\]
> 		
> # predicted surface tension
> γ\_pred = γ\_model(cᵢ, γ₀, a, K, c★)
> 		
> data\[i, "γ (N/m)"\] ~ Normal(γ\_pred, σ)
> end
> 	
> return nothing
> end
> 
> model = cmc\_model(data) # works just fine
> 
> sample(model, NUTS(), MCMCThreads(), 12, 2) # breaks! :(
> \`\`\`
> 
> \### Description
> 
> I get the error:
> \`\`\`
> Error message
> MethodError: no method matching possible(::typeof(BangBang.\_setindex!), ::DataFrames.DataFrame, ::Float64, ::Int64, ::String)
> The function \`possible\` exists, but no method is defined for this combination of argument types.
> 
> Closest candidates are:
> possible(::typeof(LinearAlgebra.mul!), ::Any, ::Any, ::Any, ::Any, ::Any)
> @ BangBang ~/.julia/packages/BangBang/XYqCV/src/linearalgebra.jl:32
> possible(::typeof(BangBang.\_pop!), ::C, ::Any...) where C
> @ BangBang ~/.julia/packages/BangBang/XYqCV/src/base.jl:220
> possible(::typeof(BangBang.\_setindex!), ::C, ::T, ::Any...) where {T, C\<:(AbstractArray{T})}
> @ BangBang ~/.julia/packages/BangBang/XYqCV/src/base.jl:532
> ...
> Stack trace
> Here is what happened, the most recent locations are first:
> may
> from 
> core.jl:7
> setindex!!
> from 
> base.jl:478
> set(obj::DataFrames.DataFrame, lens::BangBang.AccessorsImpl.Lens!!{…}, value::Float64) \[...show types...\](http://localhost:1235/edit?id=1674a5ce-05ef-11f1-ae92-e99335db4f6e#)
> from 
> accessors.jl:35
> cmc\_model(\_\_model\_\_::DynamicPPL.Model{…}, \_\_varinfo\_\_::DynamicPPL.OnlyAccsVarInfo{…}, data::DataFrames.DataFrame) \[...show types...\](http://localhost:1235/edit?id=1674a5ce-05ef-11f1-ae92-e99335db4f6e#)
> from 
> \[Other cell: line 26\](http://localhost:1235/edit?id=1674a5ce-05ef-11f1-ae92-e99335db4f6e#607c74f7-69fc-4445-9e85-7606161a8436)
> γ\_pred = γ\_model(cᵢ, γ₀, a, K, c★)
> 		
> data\[i, "γ (N/m)"\] ~ Normal(γ\_pred, σ)
> end
> 	
> \_evaluate!!
> from 
> model.jl:997
> evaluate!!(model::DynamicPPL.Model{…}, varinfo::DynamicPPL.OnlyAccsVarInfo{…}) \[...show types...\](http://localhost:1235/edit?id=1674a5ce-05ef-11f1-ae92-e99335db4f6e#)
> from 
> model.jl:983
> \#check\_model\_and\_trace#4(model::DynamicPPL.Model{…}, varinfo::DynamicPPL.OnlyAccsVarInfo{…}; error\_on\_failure::Bool) \[...show types...\](http://localhost:1235/edit?id=1674a5ce-05ef-11f1-ae92-e99335db4f6e#)
> from 
> debug\_utils.jl:430
> check\_model\_and\_trace
> from 
> debug\_utils.jl:418
> check\_model
> from 
> debug\_utils.jl:453
> \_check\_model
> from 
> abstractmcmc.jl:5
> \_check\_model
> from 
> abstractmcmc.jl:10
> \#sample#4(rng::Random.TaskLocalRNG, model::DynamicPPL.Model{…}, spl::Turing.Inference.NUTS{…}, ensemble::AbstractMCMC.MCMCThreads, N::Int64, n\_chains::Int64; chain\_type::Type, check\_model::Bool, initial\_params::Vector{…}, kwargs::@Kwargs{}) \[...show types...\](http://localhost:1235/edit?id=1674a5ce-05ef-11f1-ae92-e99335db4f6e#)
> from 
> abstractmcmc.jl:123
> sample
> from 
> abstractmcmc.jl:111
> \#sample#3
> from 
> abstractmcmc.jl:106
> sample
> from 
> abstractmcmc.jl:98
> from 
> \[This cell: line 1\](http://localhost:1235/edit?id=1674a5ce-05ef-11f1-ae92-e99335db4f6e#9d555510-b6c6-4e66-8b8e-c9490c16444b)
> \[sample(model, NUTS(), MCMCThreads(), 12, 2)\](http://localhost:1235/edit?id=1674a5ce-05ef-11f1-ae92-e99335db4f6e#9d555510-b6c6-4e66-8b8e-c9490c16444b)
> \`\`\`
> 
> so the problem is the line:
> \`\`\`Julia
> data\[i, "γ (N/m)"\] ~ Normal(γ\_pred, σ)
> \`\`\`
> 
> this code works in v0.41 of Turing...
> 
> \### Julia version info
> 
> \`\`\`
> Julia Version 1.12.4
> Commit 01a2eadb047 (2026-01-06 16:56 UTC)
> Build Info:
> Official https://julialang.org release
> Platform Info:
> OS: macOS (arm64-apple-darwin24.0.0)
> CPU: 8 × Apple M3
> WORD\_SIZE: 64
> LLVM: libLLVM-18.1.7 (ORCJIT, apple-m3)
> GC: Built with stock GC
> Threads: 1 default, 1 interactive, 1 GC (on 4 virtual cores)
> \`\`\`
> 
> \### Manifest
> 
> \`\`\`
> (cmc) pkg\> st
> Status \`~/active\_learning\_cmc/cmc/Project.toml\`
> \[336ed68f\] CSV v0.10.15
> \[13f3f980\] CairoMakie v0.15.8
> \[5ae59095\] Colors v0.13.1
> \[667455a9\] Cubature v1.5.1
> \[a93c6f00\] DataFrames v1.8.1
> \[033835bb\] JLD2 v0.6.3
> \[5ab0869b\] KernelDensity v0.6.11
> \[e296ed71\] MakieThemes v0.1.5
> \[429524aa\] Optim v2.0.1
> \[c3e4b0f8\] Pluto v0.20.21
> \[7f904dfe\] PlutoUI v0.7.79
> \[33c8b6b6\] ProgressLogging v0.1.6
> \[2913bbd2\] StatsBase v0.34.10
> \[fce5fe82\] Turing v0.42.8
> \[56ddb016\] Logging v1.11.0
> \[de0858da\] Printf v1.11.0
> \[9a3f8284\] Random v1.11.0
> \[8dfed614\] Test v1.11.0
> 
> (cmc) pkg\> st --manifest
> Status \`~/active\_learning\_cmc/cmc/Manifest.toml\`
> \[47edcb42\] ADTypes v1.21.0
> \[621f4979\] AbstractFFTs v1.5.0
> \[80f14c24\] AbstractMCMC v5.14.0
> ⌅ \[7a57a42e\] AbstractPPL v0.13.6
> \[6e696c72\] AbstractPlutoDingetjes v1.3.2
> \[1520ce14\] AbstractTrees v0.4.5
> \[7d9f7c33\] Accessors v0.1.43
> \[79e6a3ab\] Adapt v4.4.0
> \[35492f91\] AdaptivePredicates v1.2.0
> \[0bf59076\] AdvancedHMC v0.8.3
> \[5b7e9947\] AdvancedMH v0.8.9
> \[576499cb\] AdvancedPS v0.7.2
> \[b5ca4192\] AdvancedVI v0.6.2
> \[66dad0bd\] AliasTables v1.1.3
> \[27a7e980\] Animations v0.4.2
> \[dce04be8\] ArgCheck v2.5.0
> \[4fba245c\] ArrayInterface v7.22.0
> \[67c07d97\] Automa v1.1.0
> \[13072b0f\] AxisAlgorithms v1.1.0
> \[39de3d68\] AxisArrays v0.4.8
> \[198e06fe\] BangBang v0.4.7
> \[18cc8868\] BaseDirs v1.3.2
> \[9718e550\] Baselet v0.1.1
> \[76274a88\] Bijectors v0.15.16
> \[d1d4a3ce\] BitFlags v0.1.9
> \[fa961155\] CEnum v0.5.0
> \[96374032\] CRlibm v1.0.2
> \[336ed68f\] CSV v0.10.15
> \[159f3aea\] Cairo v1.1.1
> \[13f3f980\] CairoMakie v0.15.8
> \[082447d4\] ChainRules v1.72.6
> \[d360d2e6\] ChainRulesCore v1.26.0
> \[0ca39b1e\] Chairmarks v1.3.1
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> \[a2cac450\] ColorBrewer v0.4.2
> \[35d6a980\] ColorSchemes v3.31.0
> \[3da002f7\] ColorTypes v0.12.1
> \[c3611d14\] ColorVectorSpace v0.11.0
> \[5ae59095\] Colors v0.13.1
> \[861a8166\] Combinatorics v1.1.0
> \[38540f10\] CommonSolve v0.2.6
> \[bbf7d656\] CommonSubexpressions v0.3.1
> \[34da2185\] Compat v4.18.1
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> \[b3c3ace0\] RangeArrays v0.3.2
> \[c84ed2f1\] Ratios v0.4.5
> \[c1ae055f\] RealDot v0.1.0
> \[3cdcf5f2\] RecipesBase v1.3.4
> \[731186ca\] RecursiveArrayTools v3.47.0
> \[189a3867\] Reexport v1.2.2
> \[2792f1a3\] RegistryInstances v0.1.0
> \[05181044\] RelocatableFolders v1.0.1
> \[ae029012\] Requires v1.3.1
> \[79098fc4\] Rmath v0.9.0
> \[f2b01f46\] Roots v2.2.10
> \[5eaf0fd0\] RoundingEmulator v0.2.1
> \[7e49a35a\] RuntimeGeneratedFunctions v0.5.17
> \[fdea26ae\] SIMD v3.7.2
> \[26aad666\] SSMProblems v0.6.1
> \[0bca4576\] SciMLBase v2.138.0
> \[a6db7da4\] SciMLLogging v1.8.0
> \[c0aeaf25\] SciMLOperators v1.15.1
> \[431bcebd\] SciMLPublic v1.0.1
> \[53ae85a6\] SciMLStructures v1.10.0
> \[30f210dd\] ScientificTypesBase v3.0.0
> \[7e506255\] ScopedValues v1.5.0
> \[6c6a2e73\] Scratch v1.3.0
> \[91c51154\] SentinelArrays v1.4.9
> \[efcf1570\] Setfield v1.1.2
> \[65257c39\] ShaderAbstractions v0.5.0
> \[992d4aef\] Showoff v1.0.3
> \[73760f76\] SignedDistanceFields v0.4.1
> \[777ac1f9\] SimpleBufferStream v1.2.0
> \[699a6c99\] SimpleTraits v0.9.5
> \[45858cf5\] Sixel v0.1.5
> \[a2af1166\] SortingAlgorithms v1.2.2
> \[9f842d2f\] SparseConnectivityTracer v1.2.0
> \[dc90abb0\] SparseInverseSubset v0.1.2
> \[0a514795\] SparseMatrixColorings v0.4.23
> \[276daf66\] SpecialFunctions v2.6.1
> \[171d559e\] SplittablesBase v0.1.15
> \[860ef19b\] StableRNGs v1.0.4
> \[cae243ae\] StackViews v0.1.2
> \[90137ffa\] StaticArrays v1.9.16
> \[1e83bf80\] StaticArraysCore v1.4.4
> \[64bff920\] StatisticalTraits v3.5.0
> \[10745b16\] Statistics v1.11.1
> \[82ae8749\] StatsAPI v1.8.0
> \[2913bbd2\] StatsBase v0.34.10
> \[4c63d2b9\] StatsFuns v1.5.2
> \[892a3eda\] StringManipulation v0.4.2
> \[09ab397b\] StructArrays v0.7.2
> \[ec057cc2\] StructUtils v2.6.2
> \[2efcf032\] SymbolicIndexingInterface v0.3.46
> \[3783bdb8\] TableTraits v1.0.1
> \[bd369af6\] Tables v1.12.1
> \[62fd8b95\] TensorCore v0.1.1
> \[5d786b92\] TerminalLoggers v0.1.7
> \[731e570b\] TiffImages v0.11.6
> \[3bb67fe8\] TranscodingStreams v0.11.3
> \[28d57a85\] Transducers v0.4.85
> \[410a4b4d\] Tricks v0.1.13
> \[981d1d27\] TriplotBase v0.1.0
> \[fce5fe82\] Turing v0.42.8
> \[5c2747f8\] URIs v1.6.1
> \[1cfade01\] UnicodeFun v0.4.1
> \[1986cc42\] Unitful v1.28.0
> \[ea10d353\] WeakRefStrings v1.4.2
> \[e3aaa7dc\] WebP v0.1.3
> \[efce3f68\] WoodburyMatrices v1.1.0
> \[76eceee3\] WorkerUtilities v1.6.1
> \[700de1a5\] ZygoteRules v0.2.7
> \[6e34b625\] Bzip2\_jll v1.0.9+0
> \[4e9b3aee\] CRlibm\_jll v1.0.1+0
> \[83423d85\] Cairo\_jll v1.18.5+0
> \[7bc98958\] Cubature\_jll v1.0.5+0
> \[5ae413db\] EarCut\_jll v2.2.4+0
> \[2e619515\] Expat\_jll v2.7.3+0
> \[b22a6f82\] FFMPEG\_jll v8.0.1+0
> \[a3f928ae\] Fontconfig\_jll v2.17.1+0
> \[d7e528f0\] FreeType2\_jll v2.13.4+0
> \[559328eb\] FriBidi\_jll v1.0.17+0
> \[b0724c58\] GettextRuntime\_jll v0.22.4+0
> \[59f7168a\] Giflib\_jll v5.2.3+0
> \[7746bdde\] Glib\_jll v2.86.3+0
> \[3b182d85\] Graphite2\_jll v1.3.15+0
> \[2e76f6c2\] HarfBuzz\_jll v8.5.1+0
> \[905a6f67\] Imath\_jll v3.2.2+0
> \[aacddb02\] JpegTurbo\_jll v3.1.4+0
> \[c1c5ebd0\] LAME\_jll v3.100.3+0
> \[88015f11\] LERC\_jll v4.0.1+0
> \[1d63c593\] LLVMOpenMP\_jll v18.1.8+0
> \[dd4b983a\] LZO\_jll v2.10.3+0
> ⌅ \[e9f186c6\] Libffi\_jll v3.4.7+0
> \[7e76a0d4\] Libglvnd\_jll v1.7.1+1
> \[94ce4f54\] Libiconv\_jll v1.18.0+0
> \[4b2f31a3\] Libmount\_jll v2.41.3+0
> \[89763e89\] Libtiff\_jll v4.7.2+0
> \[38a345b3\] Libuuid\_jll v2.41.3+0
> \[c8ffd9c3\] MbedTLS\_jll v2.28.1010+0
> \[e7412a2a\] Ogg\_jll v1.3.6+0
> \[6cdc7f73\] OpenBLASConsistentFPCSR\_jll v0.3.30+0
> \[18a262bb\] OpenEXR\_jll v3.4.4+0
> \[efe28fd5\] OpenSpecFun\_jll v0.5.6+0
> \[91d4177d\] Opus\_jll v1.6.1+0
> \[36c8627f\] Pango\_jll v1.57.0+0
> ⌅ \[30392449\] Pixman\_jll v0.44.2+0
> \[f50d1b31\] Rmath\_jll v0.5.1+0
> \[ffd25f8a\] XZ\_jll v5.8.2+0
> \[4f6342f7\] Xorg\_libX11\_jll v1.8.12+0
> \[0c0b7dd1\] Xorg\_libXau\_jll v1.0.13+0
> \[a3789734\] Xorg\_libXdmcp\_jll v1.1.6+0
> \[1082639a\] Xorg\_libXext\_jll v1.3.7+0
> \[ea2f1a96\] Xorg\_libXrender\_jll v0.9.12+0
> \[c7cfdc94\] Xorg\_libxcb\_jll v1.17.1+0
> \[c5fb5394\] Xorg\_xtrans\_jll v1.6.0+0
> \[3161d3a3\] Zstd\_jll v1.5.7+1
> \[9a68df92\] isoband\_jll v0.2.3+0
> \[a4ae2306\] libaom\_jll v3.13.1+0
> \[0ac62f75\] libass\_jll v0.17.4+0
> \[f638f0a6\] libfdk\_aac\_jll v2.0.4+0
> \[b53b4c65\] libpng\_jll v1.6.54+0
> \[075b6546\] libsixel\_jll v1.10.5+0
> \[f27f6e37\] libvorbis\_jll v1.3.8+0
> \[c5f90fcd\] libwebp\_jll v1.6.0+0
> ⌅ \[1270edf5\] x264\_jll v10164.0.1+0
> \[dfaa095f\] x265\_jll v4.1.0+0
> \[0dad84c5\] ArgTools v1.1.2
> \[56f22d72\] Artifacts v1.11.0
> \[2a0f44e3\] Base64 v1.11.0
> \[8bf52ea8\] CRC32c v1.11.0
> \[ade2ca70\] Dates v1.11.0
> \[8ba89e20\] Distributed v1.11.0
> \[f43a241f\] Downloads v1.7.0
> \[7b1f6079\] FileWatching v1.11.0
> \[9fa8497b\] Future v1.11.0
> \[b77e0a4c\] InteractiveUtils v1.11.0
> \[ac6e5ff7\] JuliaSyntaxHighlighting v1.12.0
> \[b27032c2\] LibCURL v0.6.4
> \[76f85450\] LibGit2 v1.11.0
> \[8f399da3\] Libdl v1.11.0
> \[37e2e46d\] LinearAlgebra v1.12.0
> \[56ddb016\] Logging v1.11.0
> \[d6f4376e\] Markdown v1.11.0
> \[a63ad114\] Mmap v1.11.0
> \[ca575930\] NetworkOptions v1.3.0
> \[44cfe95a\] Pkg v1.12.1
> \[de0858da\] Printf v1.11.0
> \[3fa0cd96\] REPL v1.11.0
> \[9a3f8284\] Random v1.11.0
> \[ea8e919c\] SHA v0.7.0
> \[9e88b42a\] Serialization v1.11.0
> \[1a1011a3\] SharedArrays v1.11.0
> \[6462fe0b\] Sockets v1.11.0
> \[2f01184e\] SparseArrays v1.12.0
> \[f489334b\] StyledStrings v1.11.0
> \[4607b0f0\] SuiteSparse
> \[fa267f1f\] TOML v1.0.3
> \[a4e569a6\] Tar v1.10.0
> \[8dfed614\] Test v1.11.0
> \[cf7118a7\] UUIDs v1.11.0
> \[4ec0a83e\] Unicode v1.11.0
> \[e66e0078\] CompilerSupportLibraries\_jll v1.3.0+1
> \[deac9b47\] LibCURL\_jll v8.15.0+0
> \[e37daf67\] LibGit2\_jll v1.9.0+0
> \[29816b5a\] LibSSH2\_jll v1.11.3+1
> \[14a3606d\] MozillaCACerts\_jll v2025.11.4
> \[4536629a\] OpenBLAS\_jll v0.3.29+0
> \[05823500\] OpenLibm\_jll v0.8.7+0
> \[458c3c95\] OpenSSL\_jll v3.5.4+0
> \[efcefdf7\] PCRE2\_jll v10.44.0+1
> \[bea87d4a\] SuiteSparse\_jll v7.8.3+2
> \[83775a58\] Zlib\_jll v1.3.1+2
> \[8e850b90\] libblastrampoline\_jll v5.15.0+0
> \[8e850ede\] nghttp2\_jll v1.64.0+1
> \[3f19e933\] p7zip\_jll v17.7.0+0
> Info Packages marked with ⌅ have new versions available but compatibility constraints restrict them from upgrading. To see why use \`status --outdated -m\`
> \`\`\`