Final mean squared displacement

analysis/mean_squared_displacement.jl

@@ -5,18 +5,21 @@ using Random: Random
 using StaticArrays: SVector
 using JLD2: JLD2
 using CellListMap: CellListMap
+using ProgressMeter: ProgressMeter
 
 using ReCo: ReCo
 
 # IMPORTANT: Disable the periodic boundary conditions
 # The arguments types have to match for the function to be overwritten!
-ReCo.update_verlet_lists!(::Any, ::CellListMap.CellList) = nothing
-ReCo.gen_cell_list(::Vector{SVector{2,Float64}}, ::CellListMap.Box) = nothing
-ReCo.gen_cell_list_box(::Float64, ::Float64) = nothing
 ReCo.push_to_verlet_list!(::Any, ::Any, ::Any) = nothing
+ReCo.update_verlet_lists!(::Any, ::CellListMap.CellList) = nothing
+ReCo.update_verlet_lists!(::Any, ::Nothing) = nothing
+ReCo.gen_cell_list(::Vector{SVector{2,Float64}}, ::CellListMap.Box) = nothing
+ReCo.gen_cell_list(::Vector{SVector{2,Float64}}, ::Nothing) = nothing
+ReCo.gen_cell_list_box(::Float64, ::Float64) = nothing
 ReCo.restrict_coordinate(value::Float64, ::Float64) = value
 ReCo.restrict_coordinates(v::SVector{2,Float64}, ::Float64) = v
-ReCo.restrict_coordinates!(::Particle, ::Float64) = nothing
+ReCo.restrict_coordinates!(::ReCo.Particle, ::Float64) = nothing
 ReCo.minimum_image_coordinate(value::Float64, ::Float64) = value
 ReCo.minimum_image(v::SVector{2,Float64}, ::Float64) = v
 
@@ -27,7 +30,7 @@ function mean_squared_displacement(;
 
     n_v₀s = length(v₀s)
 
-    δt = ReCo.DEFAULT_δt
+    δt = 1e-4
     Dₜ = ReCo.DEFAULT_Dₜ
 
     main_parent_dir = "mean_squared_displacement_$(Dates.now())"
@@ -35,6 +38,8 @@ function mean_squared_displacement(;
 
     sim_dirs = Matrix{String}(undef, (n_simulations, n_v₀s))
 
+    progress = ProgressMeter.Progress(n_v₀s * n_simulations; dt=3, desc="MSD: ")
+
     for (v₀_ind, v₀) in enumerate(v₀s)
         max_possible_displacement = T * v₀ + T / δt * sqrt(2 * Dₜ * δt)
 
@@ -55,9 +60,11 @@ function mean_squared_displacement(;
                 dir;
                 duration=T,
                 seed=rand(1:typemax(Int64)),
-                snapshot_at=0.01,
+                snapshot_at=0.5,
-                n_bundle_snapshots=200,
+                n_bundle_snapshots=1000,
             )
+
+            ProgressMeter.next!(progress; showvalues=[(:v₀, v₀)])
         end
     end
 
@@ -141,7 +148,7 @@ function plot_mean_sq_displacement_with_expectation(
         lines!(ax, t_linrange, expected_mean_sq_displacements)
     end
 
-    Legend(fig[1, 2], v₀_scatter_plots, [L"v₀ = %$v₀" for v₀ in v₀s])
+    Legend(fig[1, 2], v₀_scatter_plots, [L"v_0 = %$v₀" for v₀ in v₀s])
 
     colgap!(fig.layout, 5)
     rowgap!(fig.layout, 5)
@@ -158,7 +165,7 @@ function run_analysis()
     v₀s = SVector(0.0, 20.0, 40.0, 60.0, 80.0)
 
     ts, mean_sq_displacements = mean_squared_displacement(;
-        n_simulations=3 * Threads.nthreads(), v₀s=v₀s, T=10.0
+        n_simulations=200 * Threads.nthreads(), v₀s=v₀s, T=100.0
     )
 
     plot_mean_sq_displacement_with_expectation(ts, mean_sq_displacements, v₀s)

src/Animation.jl

@@ -186,7 +186,7 @@ function animate_with_sim_consts(
         bundle_paths = ReCo.sorted_bundle_paths(dir)
 
         progress = ProgressMeter.Progress(
-            length(bundle_paths); dt=1, enabled=show_progress, desc="Animation: "
+            length(bundle_paths); dt=2, enabled=show_progress, desc="Animation: "
         )
 
         for (n_bundle, bundle_path) in enumerate(bundle_paths)

src/RL/RL.jl

@@ -111,7 +111,7 @@ function run_rl(;
     hook(PRE_EXPERIMENT_STAGE, agent, env)
     agent(PRE_EXPERIMENT_STAGE, env)
 
-    progress = ProgressMeter.Progress(n_episodes; dt=1, enabled=show_progress, desc="RL: ")
+    progress = ProgressMeter.Progress(n_episodes; dt=2, enabled=show_progress, desc="RL: ")
 
     for episode in 1:n_episodes
         dir = ReCo.init_sim_with_sim_consts(sim_consts; parent_dir=parent_dir)
@@ -137,11 +137,7 @@ function run_rl(;
         hook(POST_EPISODE_STAGE, agent, env)
         agent(POST_EPISODE_STAGE, env)
 
-        # TODO: Replace with live plot
+        ProgressMeter.next!(progress; showvalues=[(:rewards, hook.rewards)])
-        @show hook.rewards
-        # @show agent.policy.explorer.step
-
-        ProgressMeter.next!(progress)
     end
 
     # Post experiment

src/simulation.jl

@@ -129,13 +129,10 @@ function simulate!(
     state_update_helper_hook! =
         state_update_hook! = update_table_and_actions_hook! = empty_hook
 
-    start_time = Dates.now()
-    println("Started simulation at $start_time.")
-
     time_range = T0:(args.δt):T
 
     progress = ProgressMeter.Progress(
-        length(time_range); dt=1, enabled=args.show_progress, desc="Simulation: "
+        length(time_range); dt=2, enabled=args.show_progress, desc="Simulation: "
     )
 
     for (integration_step, t) in enumerate(time_range)
@@ -198,9 +195,5 @@ function simulate!(
         save_bundle(dir, bundle, n_bundles, T)
     end
 
-    end_time = Dates.now()
-    elapsed_time = Dates.canonicalize(Dates.CompoundPeriod(end_time - start_time))
-    println("Simulation done at $end_time and took $elapsed_time.")
-
     return nothing
 end