Change === nothing statement to isnothing

Author: guilgautier

src/graph/rooted_spanning_forest.jl

@@ -59,7 +59,7 @@ function RootedSpanningForest(
     graph::LG.SimpleGraph{T},
     roots::Union{Nothing,T,AbstractVector{T},AbstractSet{T}}=nothing
 ) where {T<:Int}
-    roots_ = unique(roots === nothing ? rand(LG.vertices(graph)) : roots)
+    roots_ = unique(isnothing(roots) ? rand(LG.vertices(graph)) : roots)
     if issubset(roots_, LG.vertices(graph))
         if LG.is_connected(graph)
             return RootedSpanningForest{LG.SimpleDiGraph{T}}(graph, roots_)

src/spatial/dominated_cftp.jl

@@ -70,7 +70,7 @@ function generate_sample_dcftp(
 )::Vector{T} where {T}
     @assert n₀ >= 1
 
-    window_ = win === nothing ? window(pp) : win
+    window_ = isnothing(win) ? window(pp) : win
     β = upper_bound_papangelou_conditional_intensity(pp)
     birth_rate = β * volume(window_)
 

src/spatial/hard_core.jl

@@ -71,7 +71,7 @@ function HardCorePointProcess(
 )
     @assert β > 0
     @assert r > 0
-    win = window === nothing ? SquareWindow() : window
+    win = isnothing(window) ? SquareWindow() : window
     return HardCorePointProcess{Vector{Float64}}(β, r, win)
 end
 
@@ -199,7 +199,7 @@ function generate_sample_prs(
 )::Vector{T} where {T}
 
     β, r = intensity(pp), interaction_range(pp)
-    win_ = win === nothing ? window(pp) : win
+    win_ = isnothing(win) ? window(pp) : win
 
     β_max = 0.21027 / volume(BallWindow(zeros(dimension(win_)), r/2))
     if β > β_max

src/spatial/poisson.jl

@@ -48,7 +48,7 @@ function HomogeneousPoissonPointProcess(
     window::Union{Nothing,AbstractSpatialWindow}=nothing
 )
     @assert β > 0
-    win = window === nothing ? SquareWindow() : window
+    win = isnothing(window) ? SquareWindow() : window
     return HomogeneousPoissonPointProcess{Vector{Float64}}(β, win)
 end
 
@@ -76,7 +76,7 @@ function generate_sample(
     pp::HomogeneousPoissonPointProcess{Vector{T}},
     win::Union{Nothing,AbstractWindow}=nothing
 )::Matrix{T} where {T<:Float64}
-    window_ = win === nothing ? window(pp) : win
+    window_ = isnothing(win) ? window(pp) : win
     n = rand(rng, Distributions.Poisson(pp.β * volume(window_)))
     return rand(rng, window_, n)
 end
@@ -118,7 +118,7 @@ function generate_sample_poisson_union_balls(
     win::Union{Nothing,AbstractWindow}=nothing
 )::Matrix{Float64}
     d = size(centers, 1)
-    !(win === nothing) && @assert dimension(win) == d
+    !(isnothing(win)) && @assert dimension(win) == d
 
     𝒫 = Distributions.Poisson(β * volume(BallWindow(zeros(d), radius)))
     points = Matrix{Float64}(undef, d, 0)
@@ -135,7 +135,7 @@ function generate_sample_poisson_union_balls(
         points = hcat(points, proposed[:, accept])
     end
 
-    if win === nothing || isempty(points)
+    if isnothing(win) || isempty(points)
         return points
     end
     return points[:, vec(mapslices(x -> x in win, points; dims=1))]

src/spatial/strauss.jl

@@ -79,7 +79,7 @@ function StraussPointProcess(
     @assert β > 0
     @assert 0 <= γ <= 1
     @assert r > 0
-    win = window === nothing ? SquareWindow() : window
+    win = isnothing(window) ? SquareWindow() : window
     return StraussPointProcess{Vector{Float64}}(β, γ, r, win)
 end