Issue in compiling DifferentialEquations

Tooling
1

I had some issue in compiling DifferentialEquations after an update so I removed it re-add it. Here is the output. Please see the last couple of lines.

(v1.1) pkg> st
    Status `C:\Users\Himanshi\.julia\environments\v1.1\Project.toml`
  [c52e3926] Atom v0.10.1
  [6e4b80f9] BenchmarkTools v0.4.3
  [a134a8b2] BlackBoxOptim v0.5.0
  [336ed68f] CSV v0.5.12
  [49dc2e85] Calculus v0.5.0
  [324d7699] CategoricalArrays v0.6.0
  [9961bab8] Cbc v0.6.4
  [944b1d66] CodecZlib v0.6.0
  [a93c6f00] DataFrames v0.19.4
  [1313f7d8] DataFramesMeta v0.5.0
  [864edb3b] DataStructures v0.17.0
  [e7dc6d0d] DataValues v0.4.12
  [7806a523] DecisionTree v0.8.3
  [39dd38d3] Dierckx v0.4.1
  [1130ab10] DiffEqParamEstim v1.8.0
  [0c46a032] DifferentialEquations v6.6.0
  [31c24e10] Distributions v0.21.1
  [f6369f11] ForwardDiff v0.10.3
  [38e38edf] GLM v1.1.1
  [60bf3e95] GLPK v0.11.3
  [28b8d3ca] GR v0.41.0
  [09f84164] HypothesisTests v0.8.0
  [7073ff75] IJulia v1.20.0
  [b6b21f68] Ipopt v0.6.0
  [8c755ed3] JuML v0.0.0 [`C:\Users\Himanshi\.julia\dev\JuML`]
  [4076af6c] JuMP v0.20.0
  [aa1ae85d] JuliaInterpreter v0.7.2
  [e5e0dc1b] Juno v0.7.2
  [5ab0869b] KernelDensity v0.5.1
  [b964fa9f] LaTeXStrings v1.0.3
  [fcefd6c4] LambdaFn v0.3.0
  [50d2b5c4] Lazy v0.14.0
  [093fc24a] LightGraphs v1.3.0
  [2fda8390] LsqFit v0.8.1
  [33e6dc65] MKL v0.0.0 #master (https://github.com/JuliaComputing/MKL.jl)
  [cc2ba9b6] MLDataUtils v0.5.0
  [1914dd2f] MacroTools v0.5.1
  [b8f27783] MathOptInterface v0.9.2
  [961ee093] ModelingToolkit v0.6.4
  [2774e3e8] NLsolve v4.1.0
  [2bd173c7] NodeJS v0.6.0
  [429524aa] Optim v0.19.2
  [9b87118b] PackageCompiler v0.6.4
  [ce6b1742] RDatasets v0.6.1
  [731186ca] RecursiveArrayTools v1.0.2
  [295af30f] Revise v2.1.10
  [3646fa90] ScikitLearn v0.5.1
  [90137ffa] StaticArrays v0.11.0
  [2913bbd2] StatsBase v0.32.0
  [f3b207a7] StatsPlots v0.12.0
  [70df011a] TableReader v0.4.0
  [bd369af6] Tables v0.2.11
  [a759f4b9] TimerOutputs v0.5.0
  [c17dfb99] WinRPM v0.4.2
  [c2297ded] ZMQ v1.0.0
  [ade2ca70] Dates
  [8bb1440f] DelimitedFiles
  [8ba89e20] Distributed
  [de0858da] Printf
  [9a3f8284] Random
  [2f01184e] SparseArrays
  [10745b16] Statistics
  [8dfed614] Test

(v1.1) pkg> rm DifferentialEquations
  Updating `C:\Users\Himanshi\.julia\environments\v1.1\Project.toml`
  [0c46a032] - DifferentialEquations v6.6.0
  Updating `C:\Users\Himanshi\.julia\environments\v1.1\Manifest.toml`
  [764a87c0] - BoundaryValueDiffEq v2.3.0
  [bcd4f6db] - DelayDiffEq v5.14.0
  [5a0ffddc] - DiffEqFinancial v2.1.0
  [c894b116] - DiffEqJump v6.2.1
  [77a26b50] - DiffEqNoiseProcess v3.3.1
  [055956cb] - DiffEqPhysics v3.2.0
  [0c46a032] - DifferentialEquations v6.6.0
  [c619ae07] - DimensionalPlotRecipes v0.2.0
  [f9640e96] - MultiScaleArrays v1.5.0
  [e409e4f3] - PoissonRandom v0.4.0
  [e6cf234a] - RandomNumbers v1.3.0
  [ae5879a3] - ResettableStacks v0.6.0
  [9672c7b4] - SteadyStateDiffEq v1.5.0
  [789caeaf] - StochasticDiffEq v6.9.1
  [c3572dad] - Sundials v3.7.0

(v1.1) pkg> gc
    Active manifests:
        `C:\Users\Himanshi\.julia\environments\v1.1\Manifest.toml`
   Deleted `C:\Users\Himanshi\.julia\packages\BoundaryValueDiffEq\XvS8h` (22.807 KiB)
   Deleted `C:\Users\Himanshi\.julia\packages\DelayDiffEq\nHoER` (148.554 KiB)
   Deleted `C:\Users\Himanshi\.julia\packages\DiffEqFinancial\V11wE` (8.722 KiB)
   Deleted `C:\Users\Himanshi\.julia\packages\DiffEqJump\vTKOd` (127.416 KiB)
   Deleted `C:\Users\Himanshi\.julia\packages\DiffEqNoiseProcess\SCC7m` (54.845 KiB)
   Deleted `C:\Users\Himanshi\.julia\packages\DiffEqPhysics\DppQ4` (29.909 KiB)
   Deleted `C:\Users\Himanshi\.julia\packages\DifferentialEquations\4jSpr` (479.235 KiB)
   Deleted `C:\Users\Himanshi\.julia\packages\DimensionalPlotRecipes\JfuWg` (6.315 KiB)
   Deleted `C:\Users\Himanshi\.julia\packages\MultiScaleArrays\1LixA` (58.805 KiB)
   Deleted `C:\Users\Himanshi\.julia\packages\PoissonRandom\Ohb1g` (12.772 KiB)
   Deleted `C:\Users\Himanshi\.julia\packages\RandomNumbers\URH3g` (251.488 KiB)
   Deleted `C:\Users\Himanshi\.julia\packages\ResettableStacks\esu9D` (7.061 KiB)
   Deleted `C:\Users\Himanshi\.julia\packages\SteadyStateDiffEq\q0UMK` (9.644 KiB)
   Deleted `C:\Users\Himanshi\.julia\packages\StochasticDiffEq\e0qFK` (1.023 MiB)
   Deleted `C:\Users\Himanshi\.julia\packages\Sundials\CRi5j` (25.481 MiB)
   Deleted 15 package installations (27.692 MiB)

(v1.1) pkg> gc
    Active manifests:
        `C:\Users\Himanshi\.julia\environments\v1.1\Manifest.toml`
   Deleted 0 package installations

(v1.1) pkg> add DifferentialEquations
  Updating registry at `C:\Users\Himanshi\.julia\registries\General`
  Updating git-repo `https://github.com/JuliaRegistries/General.git`
 Resolving package versions...
 Installed SteadyStateDiffEq ────── v1.5.0
 Installed ResettableStacks ─────── v0.6.0
 Installed DimensionalPlotRecipes ─ v0.2.0
 Installed BoundaryValueDiffEq ──── v2.3.0
 Installed Sundials ─────────────── v3.7.0
 Installed DiffEqPhysics ────────── v3.2.0
 Installed DifferentialEquations ── v6.6.0
 Installed OrdinaryDiffEq ───────── v5.16.0
 Installed DiffEqFinancial ──────── v2.2.0
 Installed DiffEqBase ───────────── v6.0.0
 Installed RandomNumbers ────────── v1.3.0
 Installed PoissonRandom ────────── v0.4.0
 Installed DiffEqOperators ──────── v4.1.0
 Installed DiffEqJump ───────────── v6.2.1
 Installed StochasticDiffEq ─────── v6.7.0
 Installed MultiScaleArrays ─────── v1.5.0
 Installed DiffEqNoiseProcess ───── v3.3.1
 Installed DelayDiffEq ──────────── v5.14.0
  Updating `C:\Users\Himanshi\.julia\environments\v1.1\Project.toml`
  [0c46a032] + DifferentialEquations v6.6.0
  Updating `C:\Users\Himanshi\.julia\environments\v1.1\Manifest.toml`
  [764a87c0] + BoundaryValueDiffEq v2.3.0
  [bcd4f6db] + DelayDiffEq v5.14.0
  [2b5f629d] ↑ DiffEqBase v5.20.1 ⇒ v6.0.0
  [5a0ffddc] + DiffEqFinancial v2.2.0
  [c894b116] + DiffEqJump v6.2.1
  [77a26b50] + DiffEqNoiseProcess v3.3.1
  [9fdde737] + DiffEqOperators v4.1.0
  [055956cb] + DiffEqPhysics v3.2.0
  [0c46a032] + DifferentialEquations v6.6.0
  [c619ae07] + DimensionalPlotRecipes v0.2.0
  [f9640e96] + MultiScaleArrays v1.5.0
  [1dea7af3] ↑ OrdinaryDiffEq v5.15.1 ⇒ v5.16.0
  [e409e4f3] + PoissonRandom v0.4.0
  [e6cf234a] + RandomNumbers v1.3.0
  [ae5879a3] + ResettableStacks v0.6.0
  [9672c7b4] + SteadyStateDiffEq v1.5.0
  [789caeaf] + StochasticDiffEq v6.7.0
  [c3572dad] + Sundials v3.7.0
  Building Sundials → `C:\Users\Himanshi\.julia\packages\Sundials\CRi5j\deps\build.log`

julia> using DifferentialEquations
[ Info: Precompiling DifferentialEquations [0c46a032-eb83-5123-abaf-570d42b7fbaa]
┌ Warning: Package DiffEqFinancial does not have Markdown in its dependencies:
│ - If you have DiffEqFinancial checked out for development and have
│   added Markdown as a dependency but haven't updated your primary
│   environment's manifest file, try `Pkg.resolve()`.
│ - Otherwise you may need to report an issue with DiffEqFinancial
└ Loading Markdown into DiffEqFinancial from project dependency, future warnings for DiffEqFinancial are suppressed.
┌ Warning: The call to compilecache failed to create a usable precompiled cache file for DifferentialEquations [0c46a032-eb83-5123-abaf-570d42b7fbaa]
│   exception = Required dependency DiffEqFinancial [5a0ffddc-d203-54b0-88ba-2c03c0fc2e67] failed to load from a cache file.
└ @ Base loading.jl:969
[ Info: Recompiling stale cache file C:\Users\Himanshi\.julia\compiled\v1.1\DiffEqFinancial\RxltQ.ji for DiffEqFinancial [5a0ffddc-d203-54b0-88ba-2c03c0fc2e67]
┌ Warning: Package DiffEqFinancial does not have Markdown in its dependencies:
│ - If you have DiffEqFinancial checked out for development and have
│   added Markdown as a dependency but haven't updated your primary
│   environment's manifest file, try `Pkg.resolve()`.
│ - Otherwise you may need to report an issue with DiffEqFinancial
└ Loading Markdown into DiffEqFinancial from project dependency, future warnings for DiffEqFinancial are suppressed.

julia>
2

After Effects

# using DifferentialEquations,StatsPlots
α=0.04;β=0.2;u₀=1.0
f(u,p,t) = α*u
g(u,p,t) = β*u #*sqrt(dt)
dt = 1//250 # 1/16 in fractional form
tspan = (0.0, 10.0)
prob = SDEProblem(f,g,u₀,tspan)
sol = solve(prob,SRIW1(),dt=dt)

type SDEProblem has no field callback

Stacktrace:
 [1] getproperty(::Any, ::Symbol) at .\sysimg.jl:18
 [2] #__init#40(::Array{Float64,1}, ::Array{Float64,1}, ::Array{Float64,1}, ::Nothing, ::Bool, ::Bool, ::Bool, ::Bool, ::Bool, ::Nothing, ::Bool, ::Bool, ::Rational{Int64}, ::Bool, ::Rational{Int64}, ::Nothing, ::Nothing, ::Rational{Int64}, ::Rational{Int64}, ::Rational{Int64}, ::Bool, ::Int64, ::Rational{Int64}, ::Rational{Int64}, ::Rational{Int64}, ::Int64, ::Float64, ::Float64, ::typeof(DiffEqBase.ODE_DEFAULT_NORM), ::typeof(DiffEqBase.ODE_DEFAULT_ISOUTOFDOMAIN), ::typeof(DiffEqBase.ODE_DEFAULT_UNSTABLE_CHECK), ::Bool, ::Bool, ::Bool, ::Bool, ::Bool, ::Bool, ::Bool, ::Bool, ::Int64, ::String, ::typeof(DiffEqBase.ODE_DEFAULT_PROG_MESSAGE), ::Nothing, ::Bool, ::UInt64, ::Bool, ::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}, ::typeof(DiffEqBase.__init), ::SDEProblem{Float64,Tuple{Float64,Float64},false,DiffEqBase.NullParameters,Nothing,SDEFunction{false,typeof(f),typeof(g),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},typeof(g),Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},Nothing}, ::SRIW1, ::Array{Any,1}, ::Array{Any,1}, ::Type, ::Type{Val{true}}) at C:\Users\Himanshi\.julia\packages\StochasticDiffEq\5GzTk\src\solve.jl:166
 [3] (::getfield(DiffEqBase, Symbol("#kw##__init")))(::NamedTuple{(:dt,),Tuple{Rational{Int64}}}, ::typeof(DiffEqBase.__init), ::SDEProblem{Float64,Tuple{Float64,Float64},false,DiffEqBase.NullParameters,Nothing,SDEFunction{false,typeof(f),typeof(g),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},typeof(g),Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},Nothing}, ::SRIW1, ::Array{Any,1}, ::Array{Any,1}, ::Type, ::Type{Val{true}}) at .\none:0 (repeats 2 times)
 [4] #__solve#39(::Base.Iterators.Pairs{Symbol,Rational{Int64},Tuple{Symbol},NamedTuple{(:dt,),Tuple{Rational{Int64}}}}, ::Function, ::SDEProblem{Float64,Tuple{Float64,Float64},false,DiffEqBase.NullParameters,Nothing,SDEFunction{false,typeof(f),typeof(g),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},typeof(g),Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},Nothing}, ::SRIW1, ::Array{Any,1}, ::Array{Any,1}, ::Nothing, ::Type{Val{true}}) at C:\Users\Himanshi\.julia\packages\StochasticDiffEq\5GzTk\src\solve.jl:6
 [5] (::getfield(DiffEqBase, Symbol("#kw##__solve")))(::NamedTuple{(:dt,),Tuple{Rational{Int64}}}, ::typeof(DiffEqBase.__solve), ::SDEProblem{Float64,Tuple{Float64,Float64},false,DiffEqBase.NullParameters,Nothing,SDEFunction{false,typeof(f),typeof(g),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},typeof(g),Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},Nothing}, ::SRIW1, ::Array{Any,1}, ::Array{Any,1}, ::Nothing, ::Type{Val{true}}) at .\none:0 (repeats 5 times)
 [6] #solve#388(::Base.Iterators.Pairs{Symbol,Rational{Int64},Tuple{Symbol},NamedTuple{(:dt,),Tuple{Rational{Int64}}}}, ::Function, ::SDEProblem{Float64,Tuple{Float64,Float64},false,DiffEqBase.NullParameters,Nothing,SDEFunction{false,typeof(f),typeof(g),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},typeof(g),Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},Nothing}, ::SRIW1) at C:\Users\Himanshi\.julia\packages\DiffEqBase\w3FH5\src\solve.jl:39
 [7] (::getfield(DiffEqBase, Symbol("#kw##solve")))(::NamedTuple{(:dt,),Tuple{Rational{Int64}}}, ::typeof(solve), ::SDEProblem{Float64,Tuple{Float64,Float64},false,DiffEqBase.NullParameters,Nothing,SDEFunction{false,typeof(f),typeof(g),LinearAlgebra.UniformScaling{Bool},Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing,Nothing},typeof(g),Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}},Nothing}, ::SRIW1) at .\none:0
 [8] top-level scope at In[2]:8
3

Why upgrading the packages downgrades certain ones?


(v1.1) pkg> up
  Updating registry at `C:\Users\Himanshi\.julia\registries\General`
  Updating git-repo `https://github.com/JuliaRegistries/General.git`
  Updating git-repo `https://github.com/JuliaComputing/MKL.jl`
 Resolving package versions...
 Installed DiffEqFinancial ── v2.1.0
 Installed StochasticDiffEq ─ v6.9.1
  Updating `C:\Users\Himanshi\.julia\environments\v1.1\Project.toml`
 [no changes]
  Updating `C:\Users\Himanshi\.julia\environments\v1.1\Manifest.toml`
  [2b5f629d] ↓ DiffEqBase v6.0.0 ⇒ v5.20.1
  [5a0ffddc] ↓ DiffEqFinancial v2.2.0 ⇒ v2.1.0
  [9fdde737] - DiffEqOperators v4.1.0
  [1dea7af3] ↓ OrdinaryDiffEq v5.16.0 ⇒ v5.15.1
  [789caeaf] ↑ StochasticDiffEq v6.7.0 ⇒ v6.9.1

(v1.1) pkg>
4

This happens due to compatibility constraints.

5

Agree. So what is the way out?
The packages which were functional earlier have started throwing errors after the update.

6

Try now. A big update was in the middle of occurring, and now a new DifferentialEquations.jl was just released which is compatible with the very latest of the solvers.

7

Thanks I did an update today as suggested by you. Then I tried to precompile DiffEq and got a warning. Susequently I also tried to run some code (which worked fine two days ago), but it threw an error on using Ensemble.

(v1.1) pkg> up
  Updating registry at `C:\Users\Himanshi\.julia\registries\General`
  Updating git-repo `https://github.com/JuliaRegistries/General.git`
  Updating git-repo `https://github.com/JuliaComputing/MKL.jl`
 Resolving package versions...
 Installed LLVM ────────────────── v1.3.0
 Installed DifferentialEquations ─ v6.7.0
  Updating `C:\Users\Himanshi\.julia\environments\v1.1\Project.toml`
  [0c46a032] ↑ DifferentialEquations v6.6.0 ⇒ v6.7.0
  [7073ff75] ↑ IJulia v1.19.0 ⇒ v1.20.0
  Updating `C:\Users\Himanshi\.julia\environments\v1.1\Manifest.toml`
  [0c46a032] ↑ DifferentialEquations v6.6.0 ⇒ v6.7.0
  [7073ff75] ↑ IJulia v1.19.0 ⇒ v1.20.0
  [929cbde3] ↑ LLVM v1.2.0 ⇒ v1.3.0
  [1dea7af3] ↑ OrdinaryDiffEq v5.16.0 ⇒ v5.17.0

(v1.1) pkg> build DifferentialEquations
  Building SpecialFunctions → `C:\Users\Himanshi\.julia\packages\SpecialFunctions\fvheQ\deps\build.log`
  Building Sundials ────────→ `C:\Users\Himanshi\.julia\packages\Sundials\CRi5j\deps\build.log`

julia> using DifferentialEquations
[ Info: Recompiling stale cache file C:\Users\Himanshi\.julia\compiled\v1.1\DifferentialEquations\UQdwS.ji for DifferentialEquations [0c46a032-eb83-5123-abaf-570d42b7fbaa]
┌ Warning: Package DiffEqFinancial does not have Markdown in its dependencies:
│ - If you have DiffEqFinancial checked out for development and have
│   added Markdown as a dependency but haven't updated your primary
│   environment's manifest file, try `Pkg.resolve()`.
│ - Otherwise you may need to report an issue with DiffEqFinancial
└ Loading Markdown into DiffEqFinancial from project dependency, future warnings for DiffEqFinancial are suppressed.
┌ Warning: The call to compilecache failed to create a usable precompiled cache file for DifferentialEquations [0c46a032-eb83-5123-abaf-570d42b7fbaa]
│   exception = Required dependency DiffEqFinancial [5a0ffddc-d203-54b0-88ba-2c03c0fc2e67] failed to load from a cache file.
└ @ Base loading.jl:969
[ Info: Recompiling stale cache file C:\Users\Himanshi\.julia\compiled\v1.1\DiffEqFinancial\RxltQ.ji for DiffEqFinancial [5a0ffddc-d203-54b0-88ba-2c03c0fc2e67]
┌ Warning: Package DiffEqFinancial does not have Markdown in its dependencies:
│ - If you have DiffEqFinancial checked out for development and have
│   added Markdown as a dependency but haven't updated your primary
│   environment's manifest file, try `Pkg.resolve()`.
│ - Otherwise you may need to report an issue with DiffEqFinancial
└ Loading Markdown into DiffEqFinancial from project dependency, future warnings for DiffEqFinancial are suppressed.

JupyterLab

using DifferentialEquations, StatsPlots

┌ Info: Recompiling stale cache file C:\Users\Himanshi\.julia\compiled\v1.1\DifferentialEquations\UQdwS.ji for DifferentialEquations [0c46a032-eb83-5123-abaf-570d42b7fbaa]
└ @ Base loading.jl:1184
┌ Warning: Package DiffEqFinancial does not have Markdown in its dependencies:
│ - If you have DiffEqFinancial checked out for development and have
│   added Markdown as a dependency but haven't updated your primary
│   environment's manifest file, try `Pkg.resolve()`.
│ - Otherwise you may need to report an issue with DiffEqFinancial
└ Loading Markdown into DiffEqFinancial from project dependency, future warnings for DiffEqFinancial are suppressed.
┌ Warning: The call to compilecache failed to create a usable precompiled cache file for DifferentialEquations [0c46a032-eb83-5123-abaf-570d42b7fbaa]
│   exception = ErrorException("Required dependency DiffEqFinancial [5a0ffddc-d203-54b0-88ba-2c03c0fc2e67] failed to load from a cache file.")
└ @ Base loading.jl:969
┌ Info: Recompiling stale cache file C:\Users\Himanshi\.julia\compiled\v1.1\DiffEqFinancial\RxltQ.ji for DiffEqFinancial [5a0ffddc-d203-54b0-88ba-2c03c0fc2e67]
└ @ Base loading.jl:1184
┌ Warning: Package DiffEqFinancial does not have Markdown in its dependencies:
│ - If you have DiffEqFinancial checked out for development and have
│   added Markdown as a dependency but haven't updated your primary
│   environment's manifest file, try `Pkg.resolve()`.
│ - Otherwise you may need to report an issue with DiffEqFinancial
└ Loading Markdown into DiffEqFinancial from project dependency, future warnings for DiffEqFinancial are suppressed.
┌ Info: Recompiling stale cache file C:\Users\Himanshi\.julia\compiled\v1.1\StatsPlots\SiylL.ji for StatsPlots [f3b207a7-027a-5e70-b257-86293d7955fd]
└ @ Base loading.jl:1184

Solving a SDE problem
```
using DifferentialEquations,StatsPlots
α=0.08;β=0.3;u₀=1.0
f(u,p,t) = αu
g(u,p,t) = βu #*sqrt(dt)
dt = 1//250 # 1/16 in fractional form
tspan = (0.0, 10.0)
prob = SDEProblem(f,g,u₀,tspan)
nsembleprob = EnsembleProblem(prob)
sol = solve(ensembleprob,SRIW1(),EnsembleThreads(),trajectories=100)
summ = EnsembleSummary(sol,0:0.01:10)
plot(summ,labels=“Middle 95%”)

Cannot convert Tuple{Array{Float64,1},Array{Float64,1}} to series data for plotting

Stacktrace:
[1] error(::String) at .\error.jl:33
[2] prepareSeriesData(::Tuple{Array{Float64,1},Array{Float64,1}}) at C:\Users\Himanshi.julia\packages\Plots\h3o4c\src\series.jl:15
[3] convertToAnyVector(::Tuple{Array{Float64,1},Array{Float64,1}}, ::Dict{Symbol,Any}) at C:\Users\Himanshi.julia\packages\Plots\h3o4c\src\series.jl:26
[4] process_ribbon(::Tuple{Array{Float64,1},Array{Float64,1}}, ::Dict{Symbol,Any}) at C:\Users\Himanshi.julia\packages\Plots\h3o4c\src\series.jl:62
[5] macro expansion at C:\Users\Himanshi.julia\packages\Plots\h3o4c\src\series.jl:139 [inlined]
[6] apply_recipe(::Dict{Symbol,Any}, ::Type{Plots.SliceIt}, ::StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}, ::Array{Float64,1}, ::Nothing) at C:\Users\Himanshi.julia\packages\RecipesBase\zBoFG\src\RecipesBase.jl:275
[7] _process_userrecipes(::Plots.Plot{Plots.GRBackend}, ::Dict{Symbol,Any}, ::Tuple{EnsembleSummary{Float64,2,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},DiffEqArray{Float64,1,Array{Float64,1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}},DiffEqArray{Float64,1,Array{Float64,1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}},DiffEqArray{Float64,1,Array{Float64,1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}},DiffEqArray{Float64,1,Array{Float64,1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}}}) at C:\Users\Himanshi.julia\packages\Plots\h3o4c\src\pipeline.jl:83
[8] _plot!(::Plots.Plot{Plots.GRBackend}, ::Dict{Symbol,Any}, ::Tuple{EnsembleSummary{Float64,2,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},DiffEqArray{Float64,1,Array{Float64,1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}},DiffEqArray{Float64,1,Array{Float64,1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}},DiffEqArray{Float64,1,Array{Float64,1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}},DiffEqArray{Float64,1,Array{Float64,1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}}}) at C:\Users\Himanshi.julia\packages\Plots\h3o4c\src\plot.jl:178
[9] #plot#133(::Base.Iterators.Pairs{Symbol,String,Tuple{Symbol},NamedTuple{(:labels,),Tuple{String}}}, ::Function, ::EnsembleSummary{Float64,2,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},DiffEqArray{Float64,1,Array{Float64,1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}},DiffEqArray{Float64,1,Array{Float64,1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}},DiffEqArray{Float64,1,Array{Float64,1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}},DiffEqArray{Float64,1,Array{Float64,1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}}) at C:\Users\Himanshi.julia\packages\Plots\h3o4c\src\plot.jl:57
[10] (::getfield(RecipesBase, Symbol(“#kw##plot”)))(::NamedTuple{(:labels,),Tuple{String}}, ::typeof(plot), ::EnsembleSummary{Float64,2,StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}},DiffEqArray{Float64,1,Array{Float64,1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}},DiffEqArray{Float64,1,Array{Float64,1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}},DiffEqArray{Float64,1,Array{Float64,1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}},DiffEqArray{Float64,1,Array{Float64,1},StepRangeLen{Float64,Base.TwicePrecision{Float64},Base.TwicePrecision{Float64}}}}) at .\none:0
[11] top-level scope at In[3]:4774

To resolve the warning I updated the Julia Manifiest.toml file and Project.toml file of DiffEqFinancial for the missing dependency of Markdown and LinearLAlgebra and recompiled DiffEq. It completed succesully. The Ensemble error still remains. Not a big issue for me but thought about updating you.
8

I found the issue with plotting DiffEq ensemble . Reverted StatsPlots pacakge to v0.19.0 from v0.20.0 and it works.

9

Ooh, umm… StatsPlots’s latest release is v0.12.0

https://github.com/JuliaPlots/StatsPlots.jl/releases

so that’s interesting :slight_smile:.

BTW, the DiffEqFinancial warnings should be gone now.

10

True. My mistake. Reverted from 0.12.0 to 0.11.0. Got confused with IJulia version.
After updating Manifest.toml for the missing dependency of “DiffEqFinancial”, the warning is gone.

11

Alright, great. @asinghvi17 can we look into this StatsPlots issue?

12

Not sure what’s going in here, will dig into it. It looks like @Ajaychat3 is talking about Plots, but its latest release is at least 0.25.

13

I am referring to StatsPlots

14

Sorry, didn’t see your reply to Chris.

I’ve tried your example code, and it has the same error on my machine.

using DifferentialEquations, Plots
α=0.08;β=0.3;u₀=1.0
f(u,p,t) = α*u
g(u,p,t) = β*u #*sqrt(dt)
dt = 1//250 # 1/16 in fractional form
tspan = (0.0, 10.0)
prob = SDEProblem(f,g,u₀,tspan)
ensembleprob = EnsembleProblem(prob)
sol = solve(ensembleprob,SRIW1(),EnsembleThreads(),trajectories=100)
summ = EnsembleSummary(sol,0:0.01:10)
plot(summ,labels="Middle 95%")

Seems to be a problem which occurs when plotting the ribbon.

Relevant versions:

(v1.4) pkg> st DifferentialEquations StatsPlots
    Status `~/.julia/environments/v1.4/Project.toml`
  [864edb3b] DataStructures v0.17.0
  [bcd4f6db] DelayDiffEq v5.15.0
  [c894b116] DiffEqJump v6.2.1
  [0c46a032] DifferentialEquations v6.6.0
  [31c24e10] Distributions v0.21.1
  [510215fc] Observables v0.2.3
  [1dea7af3] OrdinaryDiffEq v5.16.0
  [91a5bcdd] Plots v0.26.3 [`~/.julia/dev/Plots`]
  [3cdcf5f2] RecipesBase v0.7.0
  [731186ca] RecursiveArrayTools v1.0.2
  [189a3867] Reexport v0.2.0
  [2913bbd2] StatsBase v0.32.0
  [f3b207a7] StatsPlots v0.12.0 [`~/.julia/dev/StatsPlots`]
  [789caeaf] StochasticDiffEq v6.10.0
  [bd369af6] Tables v0.2.11
  [cc8bc4a8] Widgets v0.6.2
  [9a3f8284] Random
15

https://github.com/JuliaPlots/Plots.jl/pull/2139 is the only (obvious) PR which has touched ribbons in some time.

MWE:

using Plots
plot([0, 1], [1, 1]; ribbon = ([1, 2], [3, 4]))

ERROR: Cannot convert Tuple{Array{Int64,1},Array{Int64,1}} to series data for plotting
Stacktrace:
 [1] error(::String) at ./error.jl:33
 [2] prepareSeriesData(::Tuple{Array{Int64,1},Array{Int64,1}}) at /Users/anshul/.julia/dev/Plots/src/series.jl:15
 [3] convertToAnyVector(::Tuple{Array{Int64,1},Array{Int64,1}}, ::Dict{Symbol,Any}) at /Users/anshul/.julia/dev/Plots/src/series.jl:26
 [4] process_ribbon(::Tuple{Array{Int64,1},Array{Int64,1}}, ::Dict{Symbol,Any}) at /Users/anshul/.julia/dev/Plots/src/series.jl:62
 [5] macro expansion at /Users/anshul/.julia/dev/Plots/src/series.jl:139 [inlined]
 [6] apply_recipe(::Dict{Symbol,Any}, ::Type{Plots.SliceIt}, ::Array{Int64,1}, ::Array{Int64,1}, ::Nothing) at /Users/anshul/.julia/packages/RecipesBase/zBoFG/src/RecipesBase.jl:275
 [7] _process_userrecipes(::Plots.Plot{Plots.GRBackend}, ::Dict{Symbol,Any}, ::Tuple{Array{Int64,1},Array{Int64,1}}) at /Users/anshul/.julia/dev/Plots/src/pipeline.jl:83
 [8] _plot!(::Plots.Plot{Plots.GRBackend}, ::Dict{Symbol,Any}, ::Tuple{Array{Int64,1},Array{Int64,1}}) at /Users/anshul/.julia/dev/Plots/src/plot.jl:178
 [9] #plot#133(::Base.Iterators.Pairs{Symbol,Tuple{Array{Int64,1},Array{Int64,1}},Tuple{Symbol},NamedTuple{(:ribbon,),Tuple{Tuple{Array{Int64,1},Array{Int64,1}}}}}, ::typeof(plot), ::Array{Int64,1}, ::Vararg{Array{Int64,1},N} where N) at /Users/anshul/.julia/dev/Plots/src/plot.jl:57
 [10] (::RecipesBase.var"#kw##plot")(::NamedTuple{(:ribbon,),Tuple{Tuple{Array{Int64,1},Array{Int64,1}}}}, ::typeof(plot), ::Array{Int64,1}, ::Array{Int64,1}) at /Users/anshul/.julia/dev/Plots/src/plot.jl:51
 [11] top-level scope at REPL[17]:100:
16

It seems that the ribbons are converted here:
https://github.com/JuliaPlots/Plots.jl/blob/236aaed2a30c165e704e2233d08341f2595fc6e1/src/series.jl#L139
and plotted here:
https://github.com/JuliaPlots/Plots.jl/blob/236aaed2a30c165e704e2233d08341f2595fc6e1/src/series.jl#L159-L160

Still not sure why that would happen…for what it’s worth, going to Plots v0.26.0 (by ]pin Plots@0.26.2) seems to resolve the issue.

cc @Ajaychat3

Edit: I’ve opened a PR to fix it here: https://github.com/JuliaPlots/Plots.jl/pull/2186

Waiting to merge it till I can figure out how to add some tests.