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ReCo.jl/src/simulation.jl

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function rand_normal01()
return rand(Normal(0, 1))
end
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function push_to_verlet_list!(verlet_lists, i, j)
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if i < j
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push!(verlet_lists[i], Int64(j))
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else
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push!(verlet_lists[j], Int64(i))
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end
return nothing
end
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function update_verlet_lists!(args, cl::CellListMap.CellList)
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@simd for pre_vec in args.verlet_lists
reset!(pre_vec)
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end
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@simd for i in 1:(args.n_particles)
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args.particles_c[i] = args.particles[i].c
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end
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cl = CellListMap.UpdateCellList!(args.particles_c, args.box, cl; parallel=false)
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CellListMap.map_pairwise!(
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(x, y, i, j, d2, output) -> push_to_verlet_list!(args.verlet_lists, i, j),
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nothing,
args.box,
cl;
parallel=false,
)
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return cl
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end
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function euler!(
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args,
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first_integration_step::Bool,
env_helper::Union{RL.EnvHelper,Nothing},
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state_update_helper_hook!::Function,
state_update_hook!::Function,
update_table_and_actions_hook!::Function,
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)
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for id1 in 1:(args.n_particles - 1)
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p1 = args.particles[id1]
p1_c = p1.c
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verlet_list = args.verlet_lists[id1]
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for id2 in view(verlet_list.v, 1:(verlet_list.last_ind))
p2 = args.particles[id2]
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overlapping, r⃗₁₂, distance² = are_overlapping(
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p1_c, p2.c, args.interaction_r², args.half_box_len
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)
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state_update_helper_hook!(env_helper, id1, id2, r⃗₁₂)
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if overlapping
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factor = args.c₁ / (distance²^4) * (args.c₂ / (distance²^3) - 1.0)
dc = factor * r⃗₁₂
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p1.tmp_c -= dc
p2.tmp_c += dc
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end
end
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end
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state_update_hook!(env_helper, args.particles)
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@simd for p in args.particles
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si, co = sincos(p.φ)
p.tmp_c += SVector(
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args.v₀δt * co + args.c₃ * rand_normal01(),
args.v₀δt * si + args.c₃ * rand_normal01(),
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)
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restrict_coordinates!(p, args.half_box_len)
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update_table_and_actions_hook!(env_helper, p, first_integration_step)
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RL.act_hook!(p, env_helper, args.δt, si, co)
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p.φ += args.c₄ * rand_normal01()
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p.c = p.tmp_c
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end
return nothing
end
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function Base.wait(::Nothing)
return nothing
end
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function gen_run_additional_hooks(::Nothing, args...)
return false
end
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function gen_run_additional_hooks(env_helper::RL.EnvHelper, integration_step::Int64)
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return (integration_step % env_helper.shared.n_steps_before_actions_update == 0) ||
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(integration_step == 1)
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end
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function gen_cell_list(particles_c::Vector{SVector{2,Float64}}, box::CellListMap.Box)
return CellListMap.CellList(particles_c, box; parallel=false)
end
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function simulate!(
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args,
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T0::Float64,
T::Float64,
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n_steps_before_verlet_list_update::Int64,
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n_steps_before_snapshot::Int64,
n_bundles::Int64,
dir::String,
save_data::Bool,
env_helper::Union{RL.EnvHelper,Nothing},
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)
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bundle_snapshot_counter = 0
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task::Union{Task,Nothing} = nothing
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cl = gen_cell_list(args.particles_c, args.box)
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cl = update_verlet_lists!(args, cl)
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first_integration_step = true
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state_update_helper_hook! =
state_update_hook! = update_table_and_actions_hook! = empty_hook
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start_time = Dates.now()
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println("Started simulation at $start_time.")
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@showprogress 0.6 for (integration_step, t) in enumerate(T0:(args.δt):T)
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if (integration_step % n_steps_before_snapshot == 0) && save_data
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wait(task)
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bundle_snapshot_counter += 1
save_snapshot!(args.bundle, bundle_snapshot_counter, t, args.particles)
if bundle_snapshot_counter == args.n_bundle_snapshots
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task = @async begin
bundle_snapshot_counter = 0
n_bundles += 1
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save_bundle(dir, args.bundle, n_bundles, t)
end
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end
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end
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if integration_step % n_steps_before_verlet_list_update == 0
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cl = update_verlet_lists!(args, cl)
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end
run_additional_hooks = gen_run_additional_hooks(env_helper, integration_step)
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if run_additional_hooks
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RL.pre_integration_hook!(env_helper)
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state_update_helper_hook! = RL.state_update_helper_hook!
state_update_hook! = RL.state_update_hook!
update_table_and_actions_hook! = RL.update_table_and_actions_hook!
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end
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euler!(
args,
first_integration_step,
env_helper,
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state_update_helper_hook!,
state_update_hook!,
update_table_and_actions_hook!,
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)
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if run_additional_hooks
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state_update_helper_hook! =
state_update_hook! = update_table_and_actions_hook! = empty_hook
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end
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first_integration_step = false
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end
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wait(task)
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if bundle_snapshot_counter > 0
bundle = first_n_snapshots(args.bundle, bundle_snapshot_counter)
n_bundles += 1
save_bundle(dir, bundle, n_bundles, T)
end
end_time = Dates.now()
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elapsed_time = Dates.canonicalize(Dates.CompoundPeriod(end_time - start_time))
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println("Simulation done at $end_time and took $elapsed_time.")
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return nothing
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end