using IndividualDisplacements, Statistics
import IndividualDisplacements.OrdinaryDiffEq: solve, Tsit5
import IndividualDisplacements.DataFrames: DataFrame
p=dirname(pathof(IndividualDisplacements))
include(joinpath(p,"../examples/more/example123.jl"));
𝑃,Γ=example2_setup()
ii1=5:5:40; ii2=5:5:25
x=vec([x-0.5 for x in ii1, y in ii2])
y=vec([y-0.5 for x in ii1, y in ii2])
xy = permutedims([[x[i];y[i];1.0] for i in eachindex(x)])
solv(prob) = IndividualDisplacements.ensemble_solver(prob,solver=Tsit5(),reltol=1e-6,abstol=1e-6)
tr = DataFrame(ID=Int[], x=Float64[], y=Float64[], t=Float64[])
#𝐼 = Individuals{Float64,2}(📌=xy[:,:], 🔴=tr, 🆔=collect(1:size(xy,2)),
🚄 = dxdt!, ∫ = solv, 🔧 = postprocess_xy, 𝑃=𝑃);
I=(position=xy,record=deepcopy(tr),velocity=dxdt!,
integration=solv,postprocessing=postprocess_xy,parameters=𝑃)
𝐼=Individuals(I)
𝑇 = (0.0,2998*3600.0)
∫!(𝐼,𝑇)
Compare with trajectory output from MITgcm
#IndividualDisplacements.flt_example_download()
#df=read_flt(IndividualDisplacements.flt_example_path,Float32)
#ref=plot_paths(df,size(xy,2),100000.0)
This notebook was generated using Literate.jl.