SciML / SciMLBase.jl

The Base interface of the SciML ecosystem
https://docs.sciml.ai/SciMLBase/stable
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Latest minor release seems to require `Base.ndims(::Type{Tuple{<:Real, <:Real}})` to be defined #712

Closed charleskawczynski closed 2 weeks ago

charleskawczynski commented 3 weeks ago

Describe the bug 🐞

We're seeing that the latest version of SciMLBase requires ndims to be defined. I've only just run into this issue. I fixed it in ClimaCore.jl, but this popped up in ClimaTimeSteppers.jl with

   LoadError: MethodError: no method matching ndims(::Type{Tuple{Float64, Float64}})
│    
│    Closest candidates are:
│      ndims(!Matched::Type{Union{}}, Any...)
│       @ Base abstractarray.jl:276
│      ndims(!Matched::HDF5.Dataspace)
│       @ HDF5 ~/.julia/packages/HDF5/Z859u/src/dataspaces.jl:95
│      ndims(!Matched::Type{<:LazyArrays.Applied{<:Any, typeof(*), Args}}) where Args
│       @ LazyArrays ~/.julia/packages/LazyArrays/JNdsG/src/linalg/mul.jl:41
│      ...

Expected behavior

I expect that minor releases are non-breaking changes.

Minimal Reproducible Example 👇

git clone https://github.com/CliMA/ClimaTimeSteppers.jl
cd ClimaTimeSteppers.jl
git checkout ck/compat_and_deps
julia --project=docs
include("docs/make.jl")

Error & Stacktrace ⚠️

│   exception =
│    LoadError: MethodError: no method matching ndims(::Type{Tuple{Float64, Float64}})
│    
│    Closest candidates are:
│      ndims(!Matched::Type{Union{}}, Any...)
│       @ Base abstractarray.jl:276
│      ndims(!Matched::HDF5.Dataspace)
│       @ HDF5 ~/.julia/packages/HDF5/Z859u/src/dataspaces.jl:95
│      ndims(!Matched::Type{<:LazyArrays.Applied{<:Any, typeof(*), Args}}) where Args
│       @ LazyArrays ~/.julia/packages/LazyArrays/JNdsG/src/linalg/mul.jl:41
│      ...
│    
│    Stacktrace:
│      [1] build_solution(prob::SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Nothing, ClimaODEFunction{Nothing, Nothing, Nothing, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, Main.__atexample__225.var"#97#101", LinearAlgebra.UniformScaling{Bool}, Nothing, Main.__atexample__225.var"#99#103", Nothing, Nothing, Nothing, Matrix{Float64}, Matrix{Float64}, Main.__atexample__225.var"#98#102", Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, ClimaTimeSteppers.var"#18#27", ClimaTimeSteppers.var"#19#28", ClimaTimeSteppers.var"#20#29", ClimaTimeSteppers.var"#21#30"}, @Kwargs{}, SciMLBase.StandardODEProblem}, alg::IMEXAlgorithm{SSP, SSP22Heuns, IMEXTableau{ClimaTimeSteppers.SparseCoeffs{(2, 2), (true, false, true, true), StaticArraysCore.SMatrix{2, 2, Int64, 4}}, ClimaTimeSteppers.SparseCoeffs{(2,), (false, false), StaticArraysCore.SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2,), (true, false), StaticArraysCore.SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2, 2), (true, false, true, true), StaticArraysCore.SMatrix{2, 2, Int64, 4}}, ClimaTimeSteppers.SparseCoeffs{(2,), (false, false), StaticArraysCore.SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2,), (true, false), StaticArraysCore.SVector{2, Float64}}}, Nothing}, t::Vector{Float64}, u::Vector{Tuple{Float64, Float64}}; timeseries_errors::Bool, dense::Bool, dense_errors::Bool, calculate_error::Bool, k::Nothing, alg_choice::Nothing, interp::SciMLBase.LinearInterpolation{Vector{Float64}, Vector{Tuple{Float64, Float64}}}, retcode::SciMLBase.ReturnCode.T, destats::Missing, stats::Nothing, resid::Nothing, original::Nothing, kwargs::@Kwargs{})
│        @ SciMLBase ~/.julia/packages/SciMLBase/roUH9/src/solutions/ode_solutions.jl:289
│      [2] build_solution(prob::SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Nothing, ClimaODEFunction{Nothing, Nothing, Nothing, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, Main.__atexample__225.var"#97#101", LinearAlgebra.UniformScaling{Bool}, Nothing, Main.__atexample__225.var"#99#103", Nothing, Nothing, Nothing, Matrix{Float64}, Matrix{Float64}, Main.__atexample__225.var"#98#102", Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, ClimaTimeSteppers.var"#18#27", ClimaTimeSteppers.var"#19#28", ClimaTimeSteppers.var"#20#29", ClimaTimeSteppers.var"#21#30"}, @Kwargs{}, SciMLBase.StandardODEProblem}, alg::IMEXAlgorithm{SSP, SSP22Heuns, IMEXTableau{ClimaTimeSteppers.SparseCoeffs{(2, 2), (true, false, true, true), StaticArraysCore.SMatrix{2, 2, Int64, 4}}, ClimaTimeSteppers.SparseCoeffs{(2,), (false, false), StaticArraysCore.SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2,), (true, false), StaticArraysCore.SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2, 2), (true, false, true, true), StaticArraysCore.SMatrix{2, 2, Int64, 4}}, ClimaTimeSteppers.SparseCoeffs{(2,), (false, false), StaticArraysCore.SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2,), (true, false), StaticArraysCore.SVector{2, Float64}}}, Nothing}, t::Vector{Float64}, u::Vector{Tuple{Float64, Float64}})
│        @ SciMLBase ~/.julia/packages/SciMLBase/roUH9/src/solutions/ode_solutions.jl:270
│      [3] __init(::SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Nothing, ClimaODEFunction{Nothing, Nothing, Nothing, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, Main.__atexample__225.var"#97#101", LinearAlgebra.UniformScaling{Bool}, Nothing, Main.__atexample__225.var"#99#103", Nothing, Nothing, Nothing, Matrix{Float64}, Matrix{Float64}, Main.__atexample__225.var"#98#102", Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, ClimaTimeSteppers.var"#18#27", ClimaTimeSteppers.var"#19#28", ClimaTimeSteppers.var"#20#29", ClimaTimeSteppers.var"#21#30"}, @Kwargs{}, SciMLBase.StandardODEProblem}, ::IMEXAlgorithm{SSP, SSP22Heuns, IMEXTableau{ClimaTimeSteppers.SparseCoeffs{(2, 2), (true, false, true, true), StaticArraysCore.SMatrix{2, 2, Int64, 4}}, ClimaTimeSteppers.SparseCoeffs{(2,), (false, false), StaticArraysCore.SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2,), (true, false), StaticArraysCore.SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2, 2), (true, false, true, true), StaticArraysCore.SMatrix{2, 2, Int64, 4}}, ClimaTimeSteppers.SparseCoeffs{(2,), (false, false), StaticArraysCore.SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2,), (true, false), StaticArraysCore.SVector{2, Float64}}}, Nothing}; dt::Float64, tstops::Tuple{}, saveat::Nothing, save_everystep::Bool, callback::Nothing, advance_to_tstop::Bool, save_func::Main.__atexample__225.var"#cur_avg_sol_and_err#10"{Main.__atexample__225.var"#6#19", Main.__atexample__225.var"#96#100"}, dtchangeable::Bool, stepstop::Int64, kwargs::@Kwargs{})
│        @ ClimaTimeSteppers ~/work/ClimaTimeSteppers.jl/ClimaTimeSteppers.jl/src/integrators.jl:94
│      [4] __solve(::SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Nothing, ClimaODEFunction{Nothing, Nothing, Nothing, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, Main.__atexample__225.var"#97#101", LinearAlgebra.UniformScaling{Bool}, Nothing, Main.__atexample__225.var"#99#103", Nothing, Nothing, Nothing, Matrix{Float64}, Matrix{Float64}, Main.__atexample__225.var"#98#102", Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, ClimaTimeSteppers.var"#18#27", ClimaTimeSteppers.var"#19#28", ClimaTimeSteppers.var"#20#29", ClimaTimeSteppers.var"#21#30"}, @Kwargs{}, SciMLBase.StandardODEProblem}, ::IMEXAlgorithm{SSP, SSP22Heuns, IMEXTableau{ClimaTimeSteppers.SparseCoeffs{(2, 2), (true, false, true, true), StaticArraysCore.SMatrix{2, 2, Int64, 4}}, ClimaTimeSteppers.SparseCoeffs{(2,), (false, false), StaticArraysCore.SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2,), (true, false), StaticArraysCore.SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2, 2), (true, false, true, true), StaticArraysCore.SMatrix{2, 2, Int64, 4}}, ClimaTimeSteppers.SparseCoeffs{(2,), (false, false), StaticArraysCore.SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2,), (true, false), StaticArraysCore.SVector{2, Float64}}}, Nothing}; kwargs::@Kwargs{dt::Float64, save_everystep::Bool, save_func::Main.__atexample__225.var"#cur_avg_sol_and_err#10"{Main.__atexample__225.var"#6#19", Main.__atexample__225.var"#96#100"}})
│        @ ClimaTimeSteppers ~/work/ClimaTimeSteppers.jl/ClimaTimeSteppers.jl/src/integrators.jl:157
│      [5] solve_call(_prob::SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Nothing, ClimaODEFunction{Nothing, Nothing, Nothing, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, Main.__atexample__225.var"#97#101", LinearAlgebra.UniformScaling{Bool}, Nothing, Main.__atexample__225.var"#99#103", Nothing, Nothing, Nothing, Matrix{Float64}, Matrix{Float64}, Main.__atexample__225.var"#98#102", Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, ClimaTimeSteppers.var"#18#27", ClimaTimeSteppers.var"#19#28", ClimaTimeSteppers.var"#20#29", ClimaTimeSteppers.var"#21#30"}, @Kwargs{}, SciMLBase.StandardODEProblem}, args::IMEXAlgorithm{SSP, SSP22Heuns, IMEXTableau{ClimaTimeSteppers.SparseCoeffs{(2, 2), (true, false, true, true), StaticArraysCore.SMatrix{2, 2, Int64, 4}}, ClimaTimeSteppers.SparseCoeffs{(2,), (false, false), StaticArraysCore.SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2,), (true, false), StaticArraysCore.SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2, 2), (true, false, true, true), StaticArraysCore.SMatrix{2, 2, Int64, 4}}, ClimaTimeSteppers.SparseCoeffs{(2,), (false, false), StaticArraysCore.SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2,), (true, false), StaticArraysCore.SVector{2, Float64}}}, Nothing}; merge_callbacks::Bool, kwargshandle::DiffEqBase.KeywordArgError, kwargs::@Kwargs{dt::Float64, save_everystep::Bool, save_func::Main.__atexample__225.var"#cur_avg_sol_and_err#10"{Main.__atexample__225.var"#6#19", Main.__atexample__225.var"#96#100"}})
│        @ DiffEqBase ~/.julia/packages/DiffEqBase/PBhFc/src/solve.jl:612
│      [6] solve_up(prob::SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Nothing, ClimaODEFunction{Nothing, Nothing, Nothing, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, Main.__atexample__225.var"#97#101", LinearAlgebra.UniformScaling{Bool}, Nothing, Main.__atexample__225.var"#99#103", Nothing, Nothing, Nothing, Matrix{Float64}, Matrix{Float64}, Main.__atexample__225.var"#98#102", Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, ClimaTimeSteppers.var"#18#27", ClimaTimeSteppers.var"#19#28", ClimaTimeSteppers.var"#20#29", ClimaTimeSteppers.var"#21#30"}, @Kwargs{}, SciMLBase.StandardODEProblem}, sensealg::Nothing, u0::Vector{Float64}, p::Nothing, args::IMEXAlgorithm{SSP, SSP22Heuns, IMEXTableau{ClimaTimeSteppers.SparseCoeffs{(2, 2), (true, false, true, true), StaticArraysCore.SMatrix{2, 2, Int64, 4}}, ClimaTimeSteppers.SparseCoeffs{(2,), (false, false), StaticArraysCore.SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2,), (true, false), StaticArraysCore.SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2, 2), (true, false, true, true), StaticArraysCore.SMatrix{2, 2, Int64, 4}}, ClimaTimeSteppers.SparseCoeffs{(2,), (false, false), StaticArraysCore.SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2,), (true, false), StaticArraysCore.SVector{2, Float64}}}, Nothing}; kwargs::@Kwargs{dt::Float64, save_everystep::Bool, save_func::Main.__atexample__225.var"#cur_avg_sol_and_err#10"{Main.__atexample__225.var"#6#19", Main.__atexample__225.var"#96#100"}, kwargshandle::DiffEqBase.KeywordArgError})
│        @ DiffEqBase ~/.julia/packages/DiffEqBase/PBhFc/src/solve.jl:1080
│      [7] solve(prob::SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Nothing, ClimaODEFunction{Nothing, Nothing, Nothing, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, Main.__atexample__225.var"#97#101", LinearAlgebra.UniformScaling{Bool}, Nothing, Main.__atexample__225.var"#99#103", Nothing, Nothing, Nothing, Matrix{Float64}, Matrix{Float64}, Main.__atexample__225.var"#98#102", Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, ClimaTimeSteppers.var"#18#27", ClimaTimeSteppers.var"#19#28", ClimaTimeSteppers.var"#20#29", ClimaTimeSteppers.var"#21#30"}, @Kwargs{}, SciMLBase.StandardODEProblem}, args::IMEXAlgorithm{SSP, SSP22Heuns, IMEXTableau{ClimaTimeSteppers.SparseCoeffs{(2, 2), (true, false, true, true), StaticArraysCore.SMatrix{2, 2, Int64, 4}}, ClimaTimeSteppers.SparseCoeffs{(2,), (false, false), StaticArraysCore.SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2,), (true, false), StaticArraysCore.SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2, 2), (true, false, true, true), StaticArraysCore.SMatrix{2, 2, Int64, 4}}, ClimaTimeSteppers.SparseCoeffs{(2,), (false, false), StaticArraysCore.SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2,), (true, false), StaticArraysCore.SVector{2, Float64}}}, Nothing}; sensealg::Nothing, u0::Nothing, p::Nothing, wrap::Val{true}, kwargs::@Kwargs{dt::Float64, save_everystep::Bool, save_func::Main.__atexample__225.var"#cur_avg_sol_and_err#10"{Main.__atexample__225.var"#6#19", Main.__atexample__225.var"#96#100"}, kwargshandle::DiffEqBase.KeywordArgError})
│        @ DiffEqBase ~/.julia/packages/DiffEqBase/PBhFc/src/solve.jl:1003
│      [8] verify_convergence(title::String, algorithm_names::Vector{AbstractAlgorithmName}, test_case::Main.__atexample__225.IntegratorTestCase{Float64, Main.__atexample__225.var"#96#100", SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Nothing, ClimaODEFunction{Nothing, Nothing, Nothing, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, Main.__atexample__225.var"#97#101", LinearAlgebra.UniformScaling{Bool}, Nothing, Main.__atexample__225.var"#99#103", Nothing, Nothing, Nothing, Matrix{Float64}, Matrix{Float64}, Main.__atexample__225.var"#98#102", Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, ClimaTimeSteppers.var"#18#27", ClimaTimeSteppers.var"#19#28", ClimaTimeSteppers.var"#20#29", ClimaTimeSteppers.var"#21#30"}, @Kwargs{}, SciMLBase.StandardODEProblem}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Nothing, ClimaODEFunction{Nothing, Nothing, Nothing, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, Main.__atexample__225.var"#97#101", LinearAlgebra.UniformScaling{Bool}, Nothing, Main.__atexample__225.var"#99#103", Nothing, Nothing, Nothing, Matrix{Float64}, Matrix{Float64}, Main.__atexample__225.var"#98#102", Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, ClimaTimeSteppers.var"#18#27", ClimaTimeSteppers.var"#19#28", ClimaTimeSteppers.var"#20#29", ClimaTimeSteppers.var"#21#30"}, @Kwargs{}, SciMLBase.StandardODEProblem}}, num_steps::Int64; num_steps_scaling_factor::Int64, order_confidence_percent::Int64, super_convergence::Tuple{}, numerical_reference_algorithm_name::Nothing, numerical_reference_num_steps::Int64, full_history_algorithm_name::Nothing, average_function::Main.__atexample__225.var"#6#19", average_function_str::String, only_endpoints::Bool, verbose::Bool)
│        @ Main.__atexample__225 ~/work/ClimaTimeSteppers.jl/ClimaTimeSteppers.jl/docs/build/plotting_utils.jl:224
│      [9] verify_convergence(title::String, algorithm_names::Vector{AbstractAlgorithmName}, test_case::Main.__atexample__225.IntegratorTestCase{Float64, Main.__atexample__225.var"#96#100", SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Nothing, ClimaODEFunction{Nothing, Nothing, Nothing, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, Main.__atexample__225.var"#97#101", LinearAlgebra.UniformScaling{Bool}, Nothing, Main.__atexample__225.var"#99#103", Nothing, Nothing, Nothing, Matrix{Float64}, Matrix{Float64}, Main.__atexample__225.var"#98#102", Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, ClimaTimeSteppers.var"#18#27", ClimaTimeSteppers.var"#19#28", ClimaTimeSteppers.var"#20#29", ClimaTimeSteppers.var"#21#30"}, @Kwargs{}, SciMLBase.StandardODEProblem}, SciMLBase.ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Nothing, ClimaODEFunction{Nothing, Nothing, Nothing, SciMLBase.ODEFunction{true, SciMLBase.FullSpecialize, Main.__atexample__225.var"#97#101", LinearAlgebra.UniformScaling{Bool}, Nothing, Main.__atexample__225.var"#99#103", Nothing, Nothing, Nothing, Matrix{Float64}, Matrix{Float64}, Main.__atexample__225.var"#98#102", Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, ClimaTimeSteppers.var"#18#27", ClimaTimeSteppers.var"#19#28", ClimaTimeSteppers.var"#20#29", ClimaTimeSteppers.var"#21#30"}, @Kwargs{}, SciMLBase.StandardODEProblem}}, num_steps::Int64)
│        @ Main.__atexample__225 ~/work/ClimaTimeSteppers.jl/ClimaTimeSteppers.jl/docs/build/plotting_utils.jl:94
│     [10] top-level scope
│        @ ~/work/ClimaTimeSteppers.jl/ClimaTimeSteppers.jl/docs/build/dev/report_gen.jl:20
│     [11] include
│        @ ./Base.jl:495 [inlined]
│     [12] include(x::String)
│        @ Main.__atexample__225 ~/.julia/packages/Documenter/CJeWX/src/utilities/utilities.jl:606
│     [13] top-level scope
│        @ report_gen.md:18
│     [[14](https://github.com/CliMA/ClimaTimeSteppers.jl/actions/runs/9457380204/job/26051077406?pr=296#step:5:15)] eval
│        @ ./boot.jl:385 [inlined]
│     [[15](https://github.com/CliMA/ClimaTimeSteppers.jl/actions/runs/9457380204/job/26051077406?pr=296#step:5:16)] #58
│        @ ~/.julia/packages/Documenter/CJeWX/src/expander_pipeline.jl:754 [inlined]
│     [[16](https://github.com/CliMA/ClimaTimeSteppers.jl/actions/runs/9457380204/job/26051077406?pr=296#step:5:17)] cd(f::Documenter.var"#58#60"{Module, Expr}, dir::String)
│        @ Base.Filesystem ./file.jl:112
│     [[17](https://github.com/CliMA/ClimaTimeSteppers.jl/actions/runs/9457380204/job/26051077406?pr=296#step:5:18)] (::Documenter.var"#57#59"{Documenter.Page, Module, Expr})()
│        @ Documenter ~/.julia/packages/Documenter/CJeWX/src/expander_pipeline.jl:753
│     [[18](https://github.com/CliMA/ClimaTimeSteppers.jl/actions/runs/9457380204/job/26051077406?pr=296#step:5:19)] (::IOCapture.var"#4#7"{DataType, Documenter.var"#57#59"{Documenter.Page, Module, Expr}, IOContext{Base.PipeEndpoint}, IOContext{Base.PipeEndpoint}, Base.PipeEndpoint, Base.PipeEndpoint})()
│        @ IOCapture ~/.julia/packages/IOCapture/Rzdxd/src/IOCapture.jl:161
│     [[19](https://github.com/CliMA/ClimaTimeSteppers.jl/actions/runs/9457380204/job/26051077406?pr=296#step:5:20)] with_logstate(f::Function, logstate::Any)
│        @ Base.CoreLogging ./logging.jl:515
│     [[20](https://github.com/CliMA/ClimaTimeSteppers.jl/actions/runs/9457380204/job/26051077406?pr=296#step:5:21)] with_logger
│        @ ./logging.jl:627 [inlined]
│     [[21](https://github.com/CliMA/ClimaTimeSteppers.jl/actions/runs/9457380204/job/26051077406?pr=296#step:5:22)] capture(f::Documenter.var"#57#59"{Documenter.Page, Module, Expr}; rethrow::Type, color::Bool, passthrough::Bool, capture_buffer::IOBuffer)
│        @ IOCapture ~/.julia/packages/IOCapture/Rzdxd/src/IOCapture.jl:158
│     [[22](https://github.com/CliMA/ClimaTimeSteppers.jl/actions/runs/9457380204/job/26051077406?pr=296#step:5:23)] runner(::Type{Documenter.Expanders.ExampleBlocks}, node::MarkdownAST.Node{Nothing}, page::Documenter.Page, doc::Documenter.Document)
│        @ Documenter ~/.julia/packages/Documenter/CJeWX/src/expander_pipeline.jl:752
│    in expression starting at /home/runner/work/ClimaTimeSteppers.jl/ClimaTimeSteppers.jl/docs/build/dev/report_gen.jl:16
└ @ Documenter ~/.julia/packages/Documenter/CJeWX/src/utilities/utilities.jl:44

Environment (please complete the following information):

julia> using Pkg; Pkg.status()
Status `C:\Users\kawcz\Dropbox\Caltech\work\dev\CliMA\ClimaTimeSteppers.jl\docs\Project.toml`
  [1520ce14] AbstractTrees v0.4.5
⌅ [3a4d1b5c] ClimaComms v0.5.8
⌅ [d414da3d] ClimaCore v0.13.4
⌃ [cf7c7e5a] ClimaCorePlots v0.2.8
  [595c0a79] ClimaTimeSteppers v0.7.20 `..`
⌃ [5ae59095] Colors v0.12.10
⌃ [2b5f629d] DiffEqBase v6.149.1
⌃ [31c24e10] Distributions v0.25.108
⌃ [e30172f5] Documenter v1.4.0
  [daee34ce] DocumenterCitations v1.3.3
⌃ [ba0b0d4f] Krylov v0.9.5
  [b964fa9f] LaTeXStrings v1.3.1
  [5da4648a] NVTX v0.3.4
  [91a5bcdd] Plots v1.40.4
⌃ [08abe8d2] PrettyTables v2.3.1
⌃ [90137ffa] StaticArrays v1.9.3
  [de0858da] Printf
Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated`
julia> using Pkg; Pkg.status(; mode = PKGMODE_MANIFEST)
Status `C:\Users\kawcz\Dropbox\Caltech\work\dev\CliMA\ClimaTimeSteppers.jl\docs\Manifest.toml`
⌃ [47edcb42] ADTypes v1.0.0
  [14f7f29c] AMD v0.5.3
  [a4c015fc] ANSIColoredPrinters v0.0.1
  [621f4979] AbstractFFTs v1.5.0
  [1520ce14] AbstractTrees v0.4.5
  [7d9f7c33] Accessors v0.1.36
  [79e6a3ab] Adapt v4.0.4
⌃ [66dad0bd] AliasTables v1.1.1
⌃ [4fba245c] ArrayInterface v7.10.0
⌃ [4c555306] ArrayLayouts v1.9.2
  [a9b6321e] Atomix v0.1.0
  [ab4f0b2a] BFloat16s v0.5.0
⌃ [aae01518] BandedMatrices v1.7.0
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Info Packages marked with ⌃ and ⌅ have new versions available. Those with ⌃ may be upgradable, but those with ⌅ are restricted by compatibility constraints from upgrading. To see why use `status --outdated -m`
julia> versioninfo()
Julia Version 1.10.3
Commit 0b4590a550 (2024-04-30 10:59 UTC)
Build Info:
  Official https://julialang.org/ release
Platform Info:
  OS: Windows (x86_64-w64-mingw32)
  CPU: 8 × Intel(R) Core(TM) i7-7700HQ CPU @ 2.80GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-15.0.7 (ORCJIT, skylake)
Threads: 1 default, 0 interactive, 1 GC (on 8 virtual cores)

Additional context

Add any other context about the problem here.

ChrisRackauckas commented 3 weeks ago

https://github.com/SciML/SciMLBase.jl/blob/master/src/solutions/ode_solutions.jl#L289

It's just ndims(u), and u can't be a tuple and needs well-defined dimensions?

charleskawczynski commented 3 weeks ago

Yeah, I saw that, but it doesn't seem like u should be a tuple (I don't have access to it in my example). Isn't prob.u0 supposed to be similar to u? From the MWE above, I'm printing out

    @show prob.u0
    @show eltype(prob.u0)
    @show ndims(eltype(prob.u0))

and, right before I call solve, I get:

prob.u0 = [0.0]
eltype(prob.u0) = Float64
ndims(eltype(prob.u0)) = 0

And yet I still run into

ERROR: LoadError: MethodError: no method matching ndims(::Type{Tuple{Float64, Float64}})

Closest candidates are:
  ndims(::Type{Union{}}, Any...)
   @ Base abstractarray.jl:276
  ndims(::HDF5.Dataspace)
   @ HDF5 ~/.julia/packages/HDF5/Z859u/src/dataspaces.jl:95
  ndims(::Type{<:Ref})
   @ Base refpointer.jl:96
  ...

Stacktrace:
  [1] build_solution(prob::ODEProblem{…}, alg::IMEXAlgorithm{…}, t::Vector{…}, u::Vector{…}; timeseries_errors::Bool, dense::Bool, dense_errors::Bool, calculate_error::Bool, k::Nothing, alg_choice::Nothing, interp::SciMLBase.LinearInterpolation{…}, retcode::SciMLBase.ReturnCode.T, destats::Missing, stats::Nothing, resid::Nothing, original::Nothing, kwargs::@Kwargs{})
    @ SciMLBase ~/.julia/packages/SciMLBase/roUH9/src/solutions/ode_solutions.jl:289
  [2] build_solution(prob::ODEProblem{…}, alg::IMEXAlgorithm{…}, t::Vector{…}, u::Vector{…})
    @ SciMLBase ~/.julia/packages/SciMLBase/roUH9/src/solutions/ode_solutions.jl:270
  [3] __init(::ODEProblem{…}, ::IMEXAlgorithm{…}; dt::Float64, tstops::Tuple{}, saveat::Nothing, save_everystep::Bool, callback::Nothing, advance_to_tstop::Bool, save_func::var"#cur_avg_sol_and_err#650"{…}, dtchangeable::Bool, stepstop::Int64, kwargs::@Kwargs{})
    @ ClimaTimeSteppers ~/Dropbox/Caltech/work/dev/CliMA/ClimaTimeSteppers.jl/src/integrators.jl:94
  [4] __solve(::ODEProblem{…}, ::IMEXAlgorithm{…}; kwargs::@Kwargs{…})
    @ ClimaTimeSteppers ~/Dropbox/Caltech/work/dev/CliMA/ClimaTimeSteppers.jl/src/integrators.jl:157
  [5] solve_call(_prob::ODEProblem{…}, args::IMEXAlgorithm{…}; merge_callbacks::Bool, kwargshandle::KeywordArgError, kwargs::@Kwargs{…})
    @ DiffEqBase ~/.julia/packages/DiffEqBase/PBhFc/src/solve.jl:612
  [6] solve_up(prob::ODEProblem{…}, sensealg::Nothing, u0::Vector{…}, p::Nothing, args::IMEXAlgorithm{…}; kwargs::@Kwargs{…})
    @ DiffEqBase ~/.julia/packages/DiffEqBase/PBhFc/src/solve.jl:1080
  [7] solve(prob::ODEProblem{…}, args::IMEXAlgorithm{…}; sensealg::Nothing, u0::Nothing, p::Nothing, wrap::Val{…}, kwargs::@Kwargs{…})
    @ DiffEqBase ~/.julia/packages/DiffEqBase/PBhFc/src/solve.jl:1003
...
charleskawczynski commented 3 weeks ago

Ah, showing the error I see u::Vector{Tuple{Float64, Float64}}. Hmm, this used to work.. That's unfortunate.

charleskawczynski commented 3 weeks ago

Actually, I thought the time range we pass in was a tuple, so it kind of looks like it got swapped with t:

build_solution(prob::ODEProblem{Vector{Float64}, Tuple{Float64, Float64}, true, Nothing, ClimaODEFunction{Nothing, Nothing, Nothing, ODEFunction{true, SciMLBase.FullSpecialize, var"#1217#1221", UniformScaling{Bool}, Nothing, var"#1219#1223", Nothing, Nothing, Nothing, Matrix{Float64}, Matrix{Float64}, var"#1218#1222", Nothing, Nothing, Nothing, typeof(SciMLBase.DEFAULT_OBSERVED), Nothing, Nothing, Nothing, Nothing}, ClimaTimeSteppers.var"#18#27", ClimaTimeSteppers.var"#19#28", ClimaTimeSteppers.var"#20#29", ClimaTimeSteppers.var"#21#30"}, @Kwargs{}, SciMLBase.StandardODEProblem}, alg::IMEXAlgorithm{SSP, SSP22Heuns, IMEXTableau{ClimaTimeSteppers.SparseCoeffs{(2, 2), (true, false, true, true), SMatrix{2, 2, Int64, 4}}, ClimaTimeSteppers.SparseCoeffs{(2,), (false, false), SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2,), (true, false), SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2, 2), (true, false, true, true), SMatrix{2, 2, Int64, 4}}, ClimaTimeSteppers.SparseCoeffs{(2,), (false, false), SVector{2, Float64}}, ClimaTimeSteppers.SparseCoeffs{(2,), (true, false), SVector{2, Float64}}}, Nothing}, t::Vector{Float64}, u::Vector{Tuple{Float64, Float64}}; timeseries_errors::Bool, dense::Bool, dense_errors::Bool, calculate_error::Bool, k::Nothing, alg_choice::Nothing, interp::SciMLBase.LinearInterpolation{Vector{Float64}, Vector{Tuple{Float64, Float64}}}, retcode::SciMLBase.ReturnCode.T, destats::Missing, stats::Nothing, resid::Nothing, original::Nothing, kwargs::@Kwargs{})
charleskawczynski commented 3 weeks ago

Actually, I think it's somehow related to the save_func kwarg we pass

charleskawczynski commented 3 weeks ago

Ok, yeah, I think we were using save_func directly instead of a callback, and we needed to add tdir to our integrator.

I'll close this once https://github.com/CliMA/ClimaTimeSteppers.jl/pull/296 merges.

charleskawczynski commented 2 weeks ago

Yeah, I think that was it