change Dataset name

Project.toml

@@ -1,7 +1,7 @@
 name = "ChaosTools"
 uuid = "608a59af-f2a3-5ad4-90b4-758bdf3122a7"
 repo = "https://github.com/JuliaDynamics/ChaosTools.jl.git"
-version = "3.2.0"
+version = "3.2.1"
 
 [deps]
 Combinatorics = "861a8166-3701-5b0c-9a16-15d98fcdc6aa"

src/chaosdetection/lyapunovs/local_growth_rates.jl

@@ -1,7 +1,7 @@
 export local_growth_rates
 
 """
-    local_growth_rates(ds::DynamicalSystem, points::Dataset; kwargs...) → λlocal
+    local_growth_rates(ds::DynamicalSystem, points::StateSpaceSet; kwargs...) → λlocal
 
 Compute the local exponential growth rate(s) of perturbations of the dynamical system
 `ds` for initial conditions given in `points`. For each initial condition `u ∈ points`,

src/chaosdetection/lyapunovs/lyapunov_from_data.jl

@@ -8,7 +8,7 @@ export lyapunov_from_data
 export Euclidean, FirstElement
 
 """
-    lyapunov_from_data(R::Dataset, ks; kwargs...)
+    lyapunov_from_data(R::StateSpaceSet, ks; kwargs...)
 
 For the given dataset `R`, which is expected to represent a trajectory of a dynamical
 system, calculate and return `E(k)`, which is the average logarithmic
@@ -64,7 +64,7 @@ the absolute distance of *only the first elements* of the points of `R`
 
 [^Kantz1994]: Kantz, H., Phys. Lett. A **185**, pp 77–87 (1994)
 """
-function lyapunov_from_data(R::AbstractDataset{D, T}, ks;
+function lyapunov_from_data(R::AbstractStateSpaceSet{D, T}, ks;
         refstates = 1:(length(R) - ks[end]), w = 1,
         distance = FirstElement(), ntype = NeighborNumber(1),
     ) where {D, T}

src/dimreduction/dyca.jl

@@ -43,7 +43,7 @@ is projected onto.
     10.1109/mlsp.2018.8517024, 2018 IEEE 28th International Workshop on Machine Learning
     for Signal Processing (MLSP)
 """
-dyca(A::AbstractDataset, e) = dyca(Matrix(A), e)
+dyca(A::AbstractStateSpaceSet, e) = dyca(Matrix(A), e)
 
 function dyca(data, eig_threshold::AbstractFloat; norm_eigenvectors::Bool=false)
     derivative_data = matrix_gradient(data)  #get the derivative of the data

src/periodicity/periodicorbits.jl

@@ -30,8 +30,8 @@ a random permutation will be chosen for them, with `λ=0.001`.
    the next one is `≤ disttol` then it has converged to a fixed point.
 * `inftol = 10.0`: If a state reaches `norm(state) ≥ inftol` it is assumed that
    it has escaped to infinity (and is thus abandoned).
-* `abstol = 1e-8`: A detected fixed point isn't stored if it is in `abstol` 
-   neighborhood of some previously detected point. Distance is measured by 
+* `abstol = 1e-8`: A detected fixed point isn't stored if it is in `abstol`
+   neighborhood of some previously detected point. Distance is measured by
    euclidian norm. If you are getting duplicate fixed points, decrease this value.
 
 ## Description
@@ -78,7 +78,7 @@ function periodicorbits(
         Λ = lambdamatrix(λ, inds, sings)
         _periodicorbits!(FP, ds, o, ics, Λ, maxiters, disttol, inftol, abstol)
     end
-    return Dataset(collect(FP))
+    return StateSpaceSet(collect(FP))
 end
 
 function periodicorbits(
@@ -99,7 +99,7 @@ function periodicorbits(
     FP = Set{type}()
     Λ = lambdamatrix(0.001, dimension(ds))
     _periodicorbits!(FP, ds, o, ics, Λ, maxiters, disttol, inftol, abstol)
-    return Dataset(collect(FP))
+    return StateSpaceSet(collect(FP))
 end
 
 function _periodicorbits!(FP, ds, o, ics, Λ, maxiter, disttol, inftol, abstol)

test/rareevents/return_time_tests.jl

@@ -220,7 +220,7 @@ function visual_guidance(ro, times, u0, diffeq, εs, crossing_method)
             step!(integ)
             push!(tr4, current_state(integ))
         end
-        tr4 = Dataset(tr4)
+        tr4 = StateSpaceSet(tr4)
     else
         tr4 = trajectory(ro, times[4], u0; diffeq)
     end

test/stability/fixedpoints.jl

@@ -14,7 +14,8 @@ using ChaosTools, Test
 
     @testset "J=$(J)" for J in (nothing, henon_jacob)
         fp, eigs, stable = fixedpoints(ds, box, J)
-        @test size(fp) == (2,2)
+        @test length(fp) == 2
+        @test dimension(fp) == 2
         @test stable == [false, false]
         @test (henon_fp ≈ fp[1]) || (henon_fp ≈ fp[2])
     end