fix rng pr

.github/workflows/CI.yml

@@ -26,16 +26,7 @@ jobs:
         with:
           version: ${{ matrix.version }}
           arch: ${{ matrix.arch }}
-      - uses: actions/cache@v1
-        env:
-          cache-name: cache-artifacts
-        with:
-          path: ~/.julia/artifacts
-          key: ${{ runner.os }}-test-${{ env.cache-name }}-${{ hashFiles('**/Project.toml') }}
-          restore-keys: |
-            ${{ runner.os }}-test-${{ env.cache-name }}-
-            ${{ runner.os }}-test-
-            ${{ runner.os }}-
+      - uses: julia-actions/cache@v2
       - uses: julia-actions/julia-buildpkg@v1
       - uses: julia-actions/julia-runtest@v1
       - uses: julia-actions/julia-processcoverage@v1
@@ -50,6 +41,7 @@ jobs:
       - uses: julia-actions/setup-julia@v2
         with:
           version: '1'
+      - uses: julia-actions/cache@v2
       - uses: julia-actions/julia-buildpkg@v1
       - uses: julia-actions/julia-docdeploy@v1
         env:

.github/workflows/CompatHelper.yml

@@ -15,7 +15,7 @@ jobs:
         run: which julia
         continue-on-error: true
       - name: Install Julia, but only if it is not already available in the PATH
-        uses: julia-actions/setup-julia@v1
+        uses: julia-actions/setup-julia@v2
         with:
           version: '1'
           arch: ${{ runner.arch }}

docs/Project.toml

@@ -5,10 +5,12 @@ GraphMakie = "1ecd5474-83a3-4783-bb4f-06765db800d2"
 Graphs = "86223c79-3864-5bf0-83f7-82e725a168b6"
 NetworkLayout = "46757867-2c16-5918-afeb-47bfcb05e46a"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
+StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
 
 [compat]
-CairoMakie = "0.10"
+CairoMakie = "0.11"
 Documenter = "1"
 GraphMakie = "0.5"
 Graphs = "1.9"
 NetworkLayout = "0.4"
+StableRNGs = "1.0.1"

docs/make.jl

@@ -3,7 +3,9 @@ using NetworkLayout
 using Graphs
 using GraphMakie
 using CairoMakie
+using StableRNGs
 
+NetworkLayout.DEFAULT_RNG[] = StableRNG
 DocMeta.setdocmeta!(NetworkLayout, :DocTestSetup, :(using NetworkLayout); recursive=true)
 
 makedocs(; modules=[NetworkLayout],

docs/src/index.md

@@ -10,7 +10,7 @@ All example images on this page are created using [`Makie.jl`](https://github.co
 ```@example layouts
 using CairoMakie
 CairoMakie.activate!(type="png") # hide
-set_theme!(resolution=(800, 400)) #hide
+set_theme!(size=(800, 400)) #hide
 using NetworkLayout
 using GraphMakie, Graphs
 nothing #hide
@@ -167,7 +167,7 @@ hidedecorations!(ax); hidespines!(ax); f #hide
 f #hide
 ```
 ```@example layouts
-set_theme!(resolution=(800, 800)) #hide
+set_theme!(size=(800, 800)) #hide
 using Random; Random.seed!(5) # hide
 layout = Spectral()
 f, ax, p = graphplot(g, layout=layout, node_size=0.0, edge_width=1.0)
@@ -201,11 +201,11 @@ nothing #hide
 ```
 Example animation on how those keyword arguments effect different iterative layouts:
 ```@example layouts
-springl = Spring(;initialpos, pin, seed=11) #2
+springl = Spring(;initialpos, pin, seed=2)
 sfdpl   = SFDP(;initialpos, pin, tol=0.0)
 stressl = Stress(;initialpos, pin, reltols=0.0, abstolx=0.0, iterations=100)
 
-f = Figure(resolution=(1200,500))
+f = Figure(size=(1200,500))
 ax1 = f[1,1] = Axis(f; title="Spring")
 ax2 = f[1,2] = Axis(f; title="SFDP")
 ax3 = f[1,3] = Axis(f; title="Stress")

src/sfdp.jl

@@ -76,12 +76,12 @@ function Base.iterate(iter::LayoutIterator{<:SFDP{Dim,Ptype,T}}) where {Dim,Ptyp
     pin = [get(algo.pin, i, SVector{Dim,Bool}(false for _ in 1:Dim)) for i in 1:N]
 
     # iteratorstate: (#iter, energy, step, progress, old pos, pin, stopflag)
-    return startpos, (1, typemax(T), one(T), 0, startpos, pin, false)
+    return startpos, (1, typemax(T), one(T), 0, startpos, pin, rng, false)
 end
 
 function Base.iterate(iter::LayoutIterator{<:SFDP}, state)
     algo, adj_matrix = iter.algorithm, iter.adj_matrix
-    iter, energy0, step, progress, locs0, pin, stopflag = state
+    iter, energy0, step, progress, locs0, pin, rng, stopflag = state
     K, C, tol = algo.K, algo.C, algo.tol
 
     # stop if stopflag (tol reached) or nr of iterations reached
@@ -109,9 +109,7 @@ function Base.iterate(iter::LayoutIterator{<:SFDP}, state)
         end
         if any(isnan, force)
             # if two points are at the exact same location use random force in any direction
-            # copy rng from alg struct to not advance the "initial" rng state
-            # otherwise algo(g)==algo(g) might be broken
-            force += randn(copy(algo.rng), Ftype)
+            force = randn(rng, Ftype)
         end
         mask = (!).(pin[i]) # where pin=true mask will multiply with 0
         locs[i] = locs[i] .+ (step .* (force ./ norm(force))) .* mask
@@ -124,7 +122,7 @@ function Base.iterate(iter::LayoutIterator{<:SFDP}, state)
         stopflag = true
     end
 
-    return locs, (iter + 1, energy, step, progress, locs, pin, stopflag)
+    return locs, (iter + 1, energy, step, progress, locs, pin, rng, stopflag)
 end
 
 # Calculate Attractive force

src/spring.jl

@@ -75,12 +75,12 @@ function Base.iterate(iter::LayoutIterator{<:Spring{Dim,Ptype}}) where {Dim,Ptyp
     pin = [get(algo.pin, i, SVector{Dim,Bool}(false for _ in 1:Dim)) for i in 1:N]
 
     # iteratorstate: #iter nr, old pos, pin
-    return (startpos, (1, startpos, pin))
+    return (startpos, (1, startpos, pin, rng))
 end
 
 function Base.iterate(iter::LayoutIterator{<:Spring}, state)
     algo, adj_matrix = iter.algorithm, iter.adj_matrix
-    iteration, old_pos, pin = state
+    iteration, old_pos, pin, rng = state
     iteration >= algo.iterations && return nothing
 
     # The optimal distance bewteen vertices
@@ -114,9 +114,7 @@ function Base.iterate(iter::LayoutIterator{<:Spring}, state)
             else
                 # if two points are at the exact same location
                 # use random force in any direction
-                # copy rng from alg struct to not advance the "initial" rng state
-                # otherwise algo(g)==algo(g) might be broken
-                force_vec += randn(copy(algo.rng), Ftype)
+                force_vec += randn(rng, Ftype)
             end
 
         end
@@ -134,5 +132,5 @@ function Base.iterate(iter::LayoutIterator{<:Spring}, state)
         locs[i] += force[i] .* scale .* mask
     end
 
-    return locs, (iteration + 1, locs, pin)
+    return locs, (iteration + 1, locs, pin, rng)
 end