Merge pull request #142 from Marco-Congedo/dev

dev v0.5.0 (updating to Julia v0.7.2)

.github/workflows/CompatHelper.yml

@@ -0,0 +1,19 @@
+name: CompatHelper
+
+on:
+  schedule:
+    - cron: '00 00 * * *'
+
+jobs:
+  CompatHelper:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: julia-actions/setup-julia@latest
+        with:
+          version: 1.3
+      - name: Pkg.add("CompatHelper")
+        run: julia -e 'using Pkg; Pkg.add("CompatHelper")'
+      - name: CompatHelper.main()
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: julia -e 'using CompatHelper; CompatHelper.main()'

.github/workflows/TagBot.yml

@@ -1,14 +1,17 @@
 name: TagBot
 on:
-  issue_comment:  # THIS BIT IS NEW
+  issue_comment:
     types:
       - created
   workflow_dispatch:
+    inputs:
+      lookback:
+        default: 3
+permissions:
+  contents: write
 jobs:
   TagBot:
-    # THIS 'if' LINE IS NEW
     if: github.event_name == 'workflow_dispatch' || github.actor == 'JuliaTagBot'
-    # NOTHING BELOW HAS CHANGED
     runs-on: ubuntu-latest
     steps:
       - uses: JuliaRegistries/TagBot@v1

LICENSE

@@ -1,5 +1,5 @@
 MIT License
-Copyright (c) 2019, Marco Congedo, CNRS, Grenobe, France:
+Copyright (c) 2019-2022, Marco Congedo, CNRS, Grenobe, France:
 https://sites.google.com/site/marcocongedo/home
 
 Permission is hereby granted, free of charge, to any person obtaining a copy

Manifest - Back up.toml

@@ -0,0 +1,23 @@
+# This file is machine-generated - editing it directly is not advised
+
+[[Libdl]]
+uuid = "8f399da3-3557-5675-b5ff-fb832c97cbdb"
+
+[[LinearAlgebra]]
+deps = ["Libdl"]
+uuid = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
+
+[[Random]]
+deps = ["Serialization"]
+uuid = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
+
+[[Serialization]]
+uuid = "9e88b42a-f829-5b0c-bbe9-9e923198166b"
+
+[[SparseArrays]]
+deps = ["LinearAlgebra", "Random"]
+uuid = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
+
+[[Statistics]]
+deps = ["LinearAlgebra", "SparseArrays"]
+uuid = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"

Manifest.toml

@@ -1,23 +1,44 @@
 # This file is machine-generated - editing it directly is not advised
 
-[[Libdl]]
+julia_version = "1.7.2"
+manifest_format = "2.0"
+
+[[deps.Artifacts]]
+uuid = "56f22d72-fd6d-98f1-02f0-08ddc0907c33"
+
+[[deps.CompilerSupportLibraries_jll]]
+deps = ["Artifacts", "Libdl"]
+uuid = "e66e0078-7015-5450-92f7-15fbd957f2ae"
+
+[[deps.Libdl]]
 uuid = "8f399da3-3557-5675-b5ff-fb832c97cbdb"
 
-[[LinearAlgebra]]
-deps = ["Libdl"]
+[[deps.LinearAlgebra]]
+deps = ["Libdl", "libblastrampoline_jll"]
 uuid = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 
-[[Random]]
-deps = ["Serialization"]
+[[deps.OpenBLAS_jll]]
+deps = ["Artifacts", "CompilerSupportLibraries_jll", "Libdl"]
+uuid = "4536629a-c528-5b80-bd46-f80d51c5b363"
+
+[[deps.Random]]
+deps = ["SHA", "Serialization"]
 uuid = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 
-[[Serialization]]
+[[deps.SHA]]
+uuid = "ea8e919c-243c-51af-8825-aaa63cd721ce"
+
+[[deps.Serialization]]
 uuid = "9e88b42a-f829-5b0c-bbe9-9e923198166b"
 
-[[SparseArrays]]
+[[deps.SparseArrays]]
 deps = ["LinearAlgebra", "Random"]
 uuid = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 
-[[Statistics]]
+[[deps.Statistics]]
 deps = ["LinearAlgebra", "SparseArrays"]
 uuid = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
+
+[[deps.libblastrampoline_jll]]
+deps = ["Artifacts", "Libdl", "OpenBLAS_jll"]
+uuid = "8e850b90-86db-534c-a0d3-1478176c7d93"

Project.toml

@@ -1,7 +1,7 @@
 name = "PosDefManifold"
 uuid = "f45a3650-5c51-11e9-1e9a-133aa5e309cf"
 authors = ["Marco Congedo <[email protected]>"]
-version = "0.4.9"
+version = "0.5.0"
 
 [deps]
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"

build/riemannianGeometry.jl

@@ -1424,7 +1424,7 @@ function geometricMean(𝐏::ℍVector;
     maxiter, iter, conv, oldconv = 500, 1, 0., maxpos
     ⏩ && k>=thr*4 && thr > 1 ? threaded=true : threaded=false
     isempty(w) ? v=[] : v = _getWeights(w, ✓w, k)
-    init == nothing ? M = mean(logEuclidean, 𝐏; w=v, ✓w=false, ⏩=⏩) : M = ℍ(init)
+    init === nothing ? M = mean(logEuclidean, 𝐏; w=v, ✓w=false, ⏩=⏩) : M = ℍ(init)
     tol==0 ? tolerance = √eps(real(type))*1e2 : tolerance = tol
     💡 = similar(M, type)
     if threaded 𝐐 = similar(𝐏) end
@@ -1564,7 +1564,7 @@ function logdet0Mean(𝐏::Union{ℍVector, 𝔻Vector};
     maxiter, iter, conv, oldconv, l = 500, 1, 0., maxpos, k/2
     ⏩ && k>=thr*4 && thr > 1 ? threaded=true : threaded=false
     isempty(w) ? v=[] : v = _getWeights(w, ✓w, k)
-    init == nothing ? M = mean(logEuclidean, 𝐏; w=v, ✓w=false, ⏩=⏩) : M = 𝕋(init)
+    init === nothing ? M = mean(logEuclidean, 𝐏; w=v, ✓w=false, ⏩=⏩) : M = 𝕋(init)
     tol==0 ? tolerance = √eps(real(type))*1e2 : tolerance = tol
     💡 = similar(M, type)
     if threaded 𝐐 = similar(𝐏) end
@@ -1701,7 +1701,7 @@ function wasMean(𝐏::ℍVector;
     maxiter, iter, conv, oldconv = 500, 1, 0., maxpos
     ⏩ && k>=thr*4 && thr > 1 ? threaded=true : threaded=false
     isempty(w) ? v=[] : v = _getWeights(w, ✓w, k)
-    init == nothing ? M = generalizedMean(𝐏, 0.5; w=v, ✓w=false, ⏩=⏩) : M = ℍ(init)
+    init === nothing ? M = generalizedMean(𝐏, 0.5; w=v, ✓w=false, ⏩=⏩) : M = ℍ(init)
     tol==0 ? tolerance = √eps(real(type))*1e2 : tolerance = tol
     💡 = similar(M, type)
     if threaded 𝐐 = similar(𝐏) end
@@ -1876,7 +1876,7 @@ function powerMean(𝐏::ℍVector, p::Real;
        sqrtn, maxiter, iter, conv, oldconv, r = √n, 500, 1, 0., maxpos, -0.375/absp
        ⏩ && k>=thr*4 && thr > 1 ? threaded=true : threaded=false
        isempty(w) ? v=[] : v = _getWeights(w, ✓w, k)
-       init == nothing ? M = generalizedMean(𝐏, p; w=v, ✓w=false, ⏩=⏩) : M = ℍ(init)
+       init === nothing ? M = generalizedMean(𝐏, p; w=v, ✓w=false, ⏩=⏩) : M = ℍ(init)
        p<0 ? X=ℍ(M^(0.5)) : X=ℍ(M^(-0.5))
        💡, H, 𝒫 = similar(X, type), similar(X, type), similar(𝐏)
        p<0 ? 𝒫=[inv(P) for P in 𝐏] : 𝒫=𝐏