Remove kwargs overhead

Project.toml

@@ -6,6 +6,7 @@ version = "0.1.0"
 [deps]
 BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
 CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0"
+CellListMap = "69e1c6dd-3888-40e6-b3c8-31ac5f578864"
 ColorSchemes = "35d6a980-a343-548e-a6ea-1d62b119f2f4"
 Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
@@ -14,6 +15,7 @@ JLD2 = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
 JSON3 = "0f8b85d8-7281-11e9-16c2-39a750bddbf1"
 JuliaFormatter = "98e50ef6-434e-11e9-1051-2b60c6c9e899"
 LaTeXStrings = "b964fa9f-0449-5b57-a5c2-d3ea65f4040f"
+LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 LoopVectorization = "bdcacae8-1622-11e9-2a5c-532679323890"
 Luxor = "ae8d54c2-7ccd-5906-9d76-62fc9837b5bc"
 ProfileView = "c46f51b8-102a-5cf2-8d2c-8597cb0e0da7"
@@ -22,6 +24,7 @@ Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 ReinforcementLearning = "158674fc-8238-5cab-b5ba-03dfc80d1318"
 Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
 StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
+Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 
 [compat]
 julia = "1.6"

src/Particle.jl

@@ -9,12 +9,12 @@ mutable struct Particle
 
     φ::Float64 # Angle
 
-    function Particle(; id::Int64, c::Vector{Float64}, φ::Float64)
+    function Particle(id::Int64, c::Vector{Float64}, φ::Float64)
         return new(id, c, copy(c), φ)
     end
 end
 
-function restrict_coordinate(value::Float64; l::Float64)
+function restrict_coordinate(value::Float64, l::Float64)
     if value < -l
         value += 2 * l
     elseif value >= l
@@ -24,15 +24,15 @@ function restrict_coordinate(value::Float64; l::Float64)
     return value
 end
 
-function restrict_coordinates!(p::Particle; l::Float64)
+function restrict_coordinates!(p::Particle, l::Float64)
     @simd for i in 1:2
-        p.tmp_c[i] = restrict_coordinate(p.tmp_c[i]; l=l)
+        p.tmp_c[i] = restrict_coordinate(p.tmp_c[i], l)
     end
 
     return nothing
 end
 
-function minimum_image_coordinate(value::Float64; l::Float64)
+function minimum_image_coordinate(value::Float64, l::Float64)
     if value <= -l
         value += 2 * l
     elseif value > l
@@ -42,14 +42,14 @@ function minimum_image_coordinate(value::Float64; l::Float64)
     return value
 end
 
-function minimum_image(v::SVector{2,Float64}; l::Float64)
-    return SVector(minimum_image_coordinate(v[1]; l=l), minimum_image_coordinate(v[2]; l=l))
+function minimum_image(v::SVector{2,Float64}, l::Float64)
+    return SVector(minimum_image_coordinate(v[1], l), minimum_image_coordinate(v[2], l))
 end
 
 function are_overlapping(p1::Particle, p2::Particle, overlapping_r²::Float64, l::Float64)
     r⃗₁₂ = SVector(p2.c[1] - p1.c[1], p2.c[2] - p1.c[2]) # 1 -> 2
 
-    r⃗₁₂ = minimum_image(r⃗₁₂; l=l)
+    r⃗₁₂ = minimum_image(r⃗₁₂, l)
 
     distance² = r⃗₁₂[1]^2 + r⃗₁₂[2]^2
 

src/analysis/pair_correlation_function.jl

@@ -43,7 +43,7 @@ function pair_correlation(sol, variables)
 
                         r⃗₁₂ = SVector(c1[1] - c2[1], c1[2] - c2[2])
 
-                        r⃗₁₂ = minimum_image(r⃗₁₂; l=variables.l)
+                        r⃗₁₂ = minimum_image(r⃗₁₂, variables.l)
 
                         distance = sqrt(r⃗₁₂[1]^2 + r⃗₁₂[2]^2)
 

src/benchmark.jl

@@ -1,23 +1,45 @@
-function run_benchmarks()
-    benchmark_exprs = [:(run_sim(; N=1000, T=5, v=20.0, snapshot_at=0.1, save_data=false))]
+using Statistics: mean
+using Dates: now
+using BenchmarkTools: @benchmark
+using JSON3: JSON3
 
-    for expr in benchmark_exprs
-        benchmark = @benchmark eval(expr)
+using ReCo
 
-        display(benchmark)
-
-        open("benchmark.txt", "a+") do f
-            json = JSON3.pretty(
-                Dict(
-                    "benchmark" => repr(expr),
-                    "datetime" => now(),
-                    "mean_time/ns" => mean(benchmark.times),
-                    "allocs" => benchmark.allocs,
-                    "memory" => benchmark.memory,
-                ),
-            )
-
-            write(f, json)
-        end
+function run_benchmarks(
+    dir::String="";
+    N::Int64=1000,
+    v::Float64=20.0,
+    duration::Float64=2.0,
+    n_bundle_snapshots::Int64=0,
+    comment="",
+)
+    if length(dir) == 0
+        dir = init_sim(; N=N, v=v, parent_dir="benchmark")
     end
+
+    benchmark = @benchmark run_sim(
+        $dir; duration=$duration, n_bundle_snapshots=$n_bundle_snapshots
+    )
+
+    display(benchmark)
+
+    open("exports/benchmark.txt", "a+") do f
+        JSON3.pretty(
+            f,
+            Dict(
+                "N" => N,
+                "v" => v,
+                "duration" => duration,
+                "n_bundle_snapshots" => n_bundle_snapshots,
+                "comment" => comment,
+                "datetime" => now(),
+                "mean_time/ns" => mean(benchmark.times),
+                "allocs" => benchmark.allocs,
+                "memory" => benchmark.memory,
+            ),
+        )
+        write(f, "\n")
+    end
+
+    return dir
 end

src/setup.jl

@@ -2,7 +2,7 @@ using Distributions: Uniform
 using Dates: now
 using JSON3: JSON3
 
-function initial_particle_grid_pos(i, j; grid_box_width, l)
+function initial_particle_grid_pos(i::Int64, j::Int64, grid_box_width::Float64, l::Float64)
     term = -0.5 * grid_box_width - l
     return [k * grid_box_width + term for k in (i, j)]
 end
@@ -14,10 +14,8 @@ function generate_particles(grid_n::Int64, grid_box_width::Float64, l::Float64)
 
     for i in 1:grid_n
         for j in 1:grid_n
-            particles[id] = Particle(;
-                id=id,
-                c=initial_particle_grid_pos(i, j; grid_box_width=grid_box_width, l=l),
-                φ=rand(Uniform(-π, π)),
+            particles[id] = Particle(
+                id, initial_particle_grid_pos(i, j, grid_box_width, l), rand(Uniform(-π, π))
             )
 
             id += 1
@@ -31,7 +29,7 @@ function generate_particles(bundle::Bundle, N::Int64)
     particles = Vector{Particle}(undef, N)
 
     for id in 1:N
-        particles[id] = Particle(; id=id, c=bundle.c[id, end], φ=bundle.φ[id, end])
+        particles[id] = Particle(id, bundle.c[id, end], bundle.φ[id, end])
     end
 
     return particles

src/shape.jl

@@ -8,7 +8,7 @@ end
 
 function project_back_from_unit_circle(θ, l)
     x = θ * l / π - l
-    return restrict_coordinate(x; l=l)
+    return restrict_coordinate(x, l)
 end
 
 function center_of_mass(args)
@@ -52,8 +52,8 @@ function gyration_tensor(args)
 
     for p in args.particles
         c = p.c
-        x = restrict_coordinate(c[1] - COM[1]; l=args.l)
-        y = restrict_coordinate(c[2] - COM[2]; l=args.l)
+        x = restrict_coordinate(c[1] - COM[1], args.l)
+        y = restrict_coordinate(c[2] - COM[2], args.l)
 
         S11 += x^2
         S12 += x * y

src/simulation.jl

@@ -61,7 +61,7 @@ function euler!(args)
 
         p.φ += args.c₄ * rand_normal01()
 
-        restrict_coordinates!(p; l=args.l)
+        restrict_coordinates!(p, args.l)
 
         update!(p)
     end