Merge branch 'master' into master

Author: ChrisRackauckas

.JuliaFormatter.toml

@@ -12,6 +12,7 @@ on:
       - 'docs/**'
 jobs:
   test:
+    if: false  # Temporarily disabled - see https://github.com/SciML/DataInterpolations.jl/issues/498
     runs-on: ubuntu-latest
     strategy:
       matrix:

.github/workflows/Downgrade.yml

@@ -1,13 +1,19 @@
-name: "Format Check"
+name: format-check
 
 on:
   push:
     branches:
       - 'master'
+      - 'main'
+      - 'release-'
     tags: '*'
   pull_request:
 
 jobs:
-  format-check:
-    name: "Format Check"
-    uses: "SciML/.github/.github/workflows/format-check.yml@v1"
+  runic:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v6
+      - uses: fredrikekre/runic-action@v1
+        with:
+          version: '1'

.github/workflows/FormatCheck.yml

@@ -25,7 +25,7 @@ jobs:
     if: github.event_name == 'workflow_dispatch' || github.actor == 'JuliaTagBot'
     runs-on: ubuntu-latest
     steps:
-      - uses: JuliaRegistries/TagBot@79aed30d025666340f7407285d6e3e1a93535bde
+      - uses: JuliaRegistries/TagBot@fdeda6bc5e30641e181adf155388e61dcee1526e
         with:
           token: ${{ secrets.GITHUB_TOKEN }}
           # Edit the following line to reflect the actual name of the GitHub Secret containing your private key

.github/workflows/TagBot.yml

@@ -34,6 +34,10 @@ jobs:
           - Extensions
           - Misc
           - QA
+        exclude:
+          # AllocCheck doesn't work on pre-release Julia versions
+          - version: "pre"
+            group: QA
     uses: "SciML/.github/.github/workflows/tests.yml@v1"
     with:
       julia-version: "${{ matrix.version }}"

.github/workflows/Tests.yml

@@ -1,6 +1,6 @@
 name = "DataInterpolations"
 uuid = "82cc6244-b520-54b8-b5a6-8a565e85f1d0"
-version = "8.8.0"
+version = "8.9.0"
 
 [deps]
 EnumX = "4e289a0a-7415-4d19-859d-a7e5c4648b56"
@@ -41,7 +41,7 @@ FiniteDifferences = "0.12.31"
 ForwardDiff = "0.10.37, 1"
 LinearAlgebra = "1.10"
 Makie = "0.22, 0.23, 0.24"
-Optim = "1.6"
+Optim = "1.6, 2"
 PrettyTables = "2.4, 3"
 QuadGK = "2.9.1"
 RecipesBase = "1.3"

Project.toml

@@ -43,7 +43,7 @@ interp(u′, t′)
 
 ## Available Interpolations
 
-In all cases, `u` an `AbstractVector` of values and `t` is an `AbstractVector` of timepoints
+In all cases, `u` is an `AbstractVector` of values and `t` is an `AbstractVector` of timepoints
 corresponding to `(u,t)` pairs.
 
   - `ConstantInterpolation(u,t)` - A piecewise constant interpolation.
@@ -67,7 +67,7 @@ corresponding to `(u,t)` pairs.
 
 ## Extension Methods
 
-The follow methods require extra dependencies and will be loaded as package extensions.
+The following methods require extra dependencies and will be loaded as package extensions.
 
   - `Curvefit(u,t,m,p,alg)` - An interpolation which is done by fitting a user-given functional form `m(t,p)` where `p` is the vector of parameters. The user's input `p` is a an initial value for a least-square fitting, `alg` is the algorithm choice to use for optimize the cost function (sum of squared deviations) via `Optim.jl` and optimal `p`s are used in the interpolation. Requires `using Optim`.
   - `RegularizationSmooth(u,t,d;λ,alg)` - A regularization algorithm (ridge regression) which is done by minimizing an objective function (l2 loss + derivatives of order `d`) integrated in the time span. It is a global method and creates a smooth curve.

README.md

@@ -13,7 +13,7 @@ Symbolics = "0c5d862f-8b57-4792-8d23-62f2024744c7"
 Documenter = "1"
 ModelingToolkit = "9, 10.1, 11.1"
 ModelingToolkitStandardLibrary = "2"
-Optim = "1"
+Optim = "1, 2.0"
 OrdinaryDiffEq = "6"
 Plots = "1"
 RegularizationTools = "0.6"

docs/Project.toml

@@ -5,13 +5,16 @@ cp("./docs/Project.toml", "./docs/src/assets/Project.toml", force = true)
 
 ENV["GKSwstype"] = "100"
 
-makedocs(modules = [DataInterpolations],
+makedocs(
+    modules = [DataInterpolations],
     sitename = "DataInterpolations.jl",
     clean = true,
     doctest = false,
     linkcheck = true,
-    format = Documenter.HTML(assets = ["assets/favicon.ico"],
-        canonical = "https://docs.sciml.ai/DataInterpolations/stable/"),
+    format = Documenter.HTML(
+        assets = ["assets/favicon.ico"],
+        canonical = "https://docs.sciml.ai/DataInterpolations/stable/"
+    ),
     linkcheck_ignore = [
         "https://www.mathworks.com/content/dam/mathworks/mathworks-dot-com/moler/interp.pdf",
     ],

docs/make.jl

@@ -48,33 +48,33 @@ This extrapolation type extends the interpolation with a continuation of the exp
 ```@example tutorial
 A = QuadraticSpline(u, t; extrapolation = ExtrapolationType.Extension)
 plot(A)
-plot!(t_eval_left, A.(t_eval_left); label = "extrapolation down")
-plot!(t_eval_right, A.(t_eval_right); label = "extrapolation up")
+plot!(t_eval_left, A.(t_eval_left); label = "extrapolation left")
+plot!(t_eval_right, A.(t_eval_right); label = "extrapolation right")
 ```
 
 ## `ExtrapolationType.Periodic`
 
-this extrapolation type extends the interpolation such that `A(t + T) == A(t)` for all `t`, where the period is given by `T = last(A.t) - first(A.t)`.
+This extrapolation type extends the interpolation such that `A(t + T) == A(t)` for all `t`, where the period is given by `T = last(A.t) - first(A.t)`.
 
 ```@example tutorial
 T = last(A.t) - first(A.t)
 t_eval_left = range(first(t) - 2T, first(t), length = 100)
 t_eval_right = range(last(t), last(t) + 2T, length = 100)
 A = QuadraticSpline(u, t; extrapolation = ExtrapolationType.Periodic)
 plot(A)
-plot!(t_eval_left, A.(t_eval_left); label = "extrapolation down")
-plot!(t_eval_right, A.(t_eval_right); label = "extrapolation up")
+plot!(t_eval_left, A.(t_eval_left); label = "extrapolation left")
+plot!(t_eval_right, A.(t_eval_right); label = "extrapolation right")
 ```
 
 ## `ExtrapolationType.Reflective`
 
-this extrapolation type extends the interpolation such that `A(t_ + t) == A(t_ - t)` for all `t_, t` such that `(t_ - first(A.t)) % T == 0` and `0 < t < T`, where `T = last(A.t) - first(A.t)`.
+This extrapolation type extends the interpolation such that `A(t_ + t) == A(t_ - t)` for all `t_, t` such that `(t_ - first(A.t)) % T == 0` and `0 < t < T`, where `T = last(A.t) - first(A.t)`.
 
 ```@example tutorial
 A = QuadraticSpline(u, t; extrapolation = ExtrapolationType.Reflective)
 plot(A)
-plot!(t_eval_left, A.(t_eval_left); label = "extrapolation down")
-plot!(t_eval_right, A.(t_eval_right); label = "extrapolation up")
+plot!(t_eval_left, A.(t_eval_left); label = "extrapolation left")
+plot!(t_eval_right, A.(t_eval_right); label = "extrapolation right")
 ```
 
 ## Mixed extrapolation