commit
bfcb410dab
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@ -24,3 +24,4 @@ docs/site/
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# environment.
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Manifest.toml
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gif
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@ -1,8 +1,8 @@
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# This file is machine-generated - editing it directly is not advised
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julia_version = "1.11.5"
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julia_version = "1.11.4"
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manifest_format = "2.0"
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project_hash = "0d147eaf78630b05e95b5317275a880443440272"
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project_hash = "b5f5f0b50b1e0b7dd05bb93e0b1bb03fea235d53"
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[[deps.ADTypes]]
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git-tree-sha1 = "e2478490447631aedba0823d4d7a80b2cc8cdb32"
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@ -1639,7 +1639,7 @@ version = "3.2.4+0"
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[[deps.OpenLibm_jll]]
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deps = ["Artifacts", "Libdl"]
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uuid = "05823500-19ac-5b8b-9628-191a04bc5112"
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version = "0.8.5+0"
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version = "0.8.1+4"
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[[deps.OpenSSL_jll]]
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deps = ["Artifacts", "JLLWrappers", "Libdl"]
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@ -1,4 +1,6 @@
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[deps]
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DifferentialEquations = "0c46a032-eb83-5123-abaf-570d42b7fbaa"
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GLMakie = "e9467ef8-e4e7-5192-8a1a-b1aee30e663a"
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Makie = "ee78f7c6-11fb-53f2-987a-cfe4a2b5a57a"
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Observables = "510215fc-4207-5dde-b226-833fc4488ee2"
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Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
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@ -0,0 +1,28 @@
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include("../src/gray_scott_solver.jl")
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include("../src/visualization.jl")
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include("../src/utils/constants.jl")
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using Observables
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using GLMakie
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using .GrayScottSolver
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using .Visualization
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using .Constants
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const N = 128
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const dx = 1.0
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Du, Dv = Observable(0.16), Observable(0.08)
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F, k = Observable(0.060), Observable(0.062)
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params_obs = Observable(GSParams(N, dx, Du[], Dv[], F[], k[]))
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lift(Du, Dv, F, k) do u, v, f, ki
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params_obs[] = GSParams(N, dx, u, v, f, ki)
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end
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U = ones(N, N)
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V = zeros(N, N)
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heat_obs = Observable(U)
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fig = build_ui(U, V, Du, Dv, F, k, params_obs, heat_obs)
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display(fig)
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@ -1,13 +0,0 @@
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include("../src/AnimalFurFHN.jl") # this loads the module code
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using .AnimalFurFHN
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# include optional visualizer only if needed:
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include("../src/visualization.jl")
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using .Visualization
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N = 100
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tspan = (0.0, 1000.0)
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sol = AnimalFurFHN.run_simulation(tspan, N)
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Visualization.step_through_solution(sol, N)
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@ -1,9 +0,0 @@
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# src/AnimalFurFHN.jl
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module AnimalFurFHN
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include("constants.jl")
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include("laplacian.jl")
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include("solver.jl")
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export run_simulation # Make sure this is here!
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end
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@ -0,0 +1,46 @@
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module GrayScottSolver
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using Observables
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include("utils/constants.jl")
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include("utils/laplacian.jl")
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using .Constants
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using .Laplacian
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export step!, multi_step!
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function step!(U, V, params_obs::Observable; dx=1)
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lap_u = laplacian5(U, dx)
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lap_v = laplacian5(V, dx)
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diff_u = params_obs[].Du
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diff_v = params_obs[].Dv
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feed_u = params_obs[].F
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kill_v = params_obs[].k
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u = U[2:end-1, 2:end-1]
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v = V[2:end-1, 2:end-1]
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uvv = u .* v .* v
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u_new = u .+ (diff_u .* lap_u .- uvv .+ feed_u .* (1 .- u))
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v_new = v .+ (diff_v .* lap_v .+ uvv .- (feed_u .+ kill_v) .* v)
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# Update with new values
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U[2:end-1, 2:end-1] .= u_new
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V[2:end-1, 2:end-1] .= v_new
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# Periodic boundary conditions
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U[1, :] .= U[end-1, :]
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U[end, :] .= U[2, :]
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U[:, 1] .= U[:, end-1]
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U[:, end] .= U[:, 2]
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V[1, :] .= V[end-1, :]
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V[end, :] .= V[2, :]
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V[:, 1] .= V[:, end-1]
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V[:, end] .= V[:, 2]
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# Update heatmap observable
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return U
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end
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function multi_step!(state, n_steps, heat_obs::Observable, params_obs::Observable; dx=1)
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for _ in 1:n_steps
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heat_obs[] = step!(state[1], state[2], params_obs; dx=1)
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end
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end
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end
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@ -1,61 +0,0 @@
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using DifferentialEquations
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using Random
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using .Constants
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"""
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fhn(du, u, p:FHNParams, t:)
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Implements the spatial dynamics of FitzHugh-Nagumo (fhn). Designed to be
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within a larger numerical solver of partial differential equations.
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# Arguments
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- `du`: output argument which stores the calculated derivatives
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- `u`: input vector containing the current state of the system at time t
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- `p`: holds all the fixed parameters of the FHN model
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- `t`: current time
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# Returns
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- `du`: calculated derivatives put back into the du array
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"""
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function fhn!(du, u, p::FHNParams, t = 0)
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u_mat = reshape(u[1:p.N^2], p.N, p.N) # activation variable
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v_mat = reshape(u[p.N^2+1:end], p.N, p.N) # deactivation variable
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Δu = reshape(laplacian(u_mat, p.N, p.dx), p.N, p.N)
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Δv = reshape(laplacian(v_mat, p.N, p.dx), p.N, p.N)
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fu = p.Du * Δu .+ u_mat .- u_mat .^ 3 ./ 3 .- v_mat
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fv = p.Dv * Δv .+ p.ϵ * (u_mat .+ p.a .- p.b .* v_mat)
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du .= vcat(vec(fu), vec(fv))
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end
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"""
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run_simulation(tspan::Tuple{Float64,Float64}, N::Int)
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solving the ODE and modelling it after FHN
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# Arguments
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- `tspan`: tuple of two Float64's representing start and end times for simulation
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- `N`: size of the N×N grid
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# Returns
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- `sol`: solved differential equation (ODE)
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"""
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function run_simulation(tspan::Tuple{Float64,Float64}, N::Int)
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# Turing-spot parameters
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p = FHNParams(N = N, dx = 1.0, Du = 1e-5, Dv = 1e-3, ϵ = 0.01, a = 0.1, b = 0.5)
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# Initial conditions (random noise)
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Random.seed!(1234)
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# Create two vectors with length N*N with numbers between 0.1 and 0.11
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u0 = vec(0.1 .+ 0.01 .* rand(N, N))
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v0 = vec(0.1 .+ 0.01 .* rand(N, N))
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y0 = vcat(u0, v0)
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prob = ODEProblem(fhn!, y0, tspan, p)
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sol = solve(prob, BS3(), saveat=1.0) # You can try `Rosenbrock23()` too
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return sol
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end
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@ -15,6 +15,16 @@ struct FHNParams
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new(N, dx, Du, Dv, ϵ, a, b)
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end
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export FHNParams
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struct GSParams
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N::Int # grid size
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dx::Float64 # grid spacing
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Du::Float64 # diffusion rate U
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Dv::Float64 # diffusion rate V
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F::Float64 # feed rate
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k::Float64 # kill rate
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end
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export FHNParams, GSParams
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end # module Constants
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@ -1,3 +1,5 @@
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module Laplacian
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"""
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laplacian(U::Matrix{Float64}, N::Int, h::Float64)
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@ -18,3 +20,17 @@ function laplacian(U::Matrix{Float64}, N::Int, h::Float64)
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circshift(U, (0, -1)) .+ circshift(U, (0, 1)) .- 4 .* U
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return vec(padded) ./ h^2
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end
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function laplacian5(f, dx)
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h2 = dx^2
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left = f[2:end-1, 1:end-2]
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right = f[2:end-1, 3:end]
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down = f[3:end, 2:end-1]
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up = f[1:end-2, 2:end-1]
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center = f[2:end-1, 2:end-1]
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return (left .+ right .+ down .+ up .- 4 .* center) ./ h2
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end
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export laplacian, laplacian5
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end # module Laplacian
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@ -1,6 +1,7 @@
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module Visualization
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using GLMakie
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include("gray_scott_solver.jl")
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using GLMakie, Observables, Makie
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using .GrayScottSolver
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"""
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step_through_solution(sol::SolutionType, N::Int)
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@ -18,18 +19,146 @@ function step_through_solution(sol, N::Int)
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ax = Axis(fig[1, 1])
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slider = Slider(fig[2, 1], range=1:length(sol), startvalue=1)
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textbox = Textbox(fig[1, 2], placeholder="Feed Rate", validator=Float64)
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F = Observable(0.060)
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# Initialize heatmap with first time step
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u0 = reshape(sol[1][1:N^2], N, N)
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heat_obs = Observable(u0)
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hmap = heatmap!(ax, heat_obs, colormap=:magma)
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on(textbox.stored_string) do s
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F[] = parse(Float64, s)
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end
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# Update heatmap on slider movement
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on(slider.value) do i
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u = reshape(sol[i][1:N^2], N, N)
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heat_obs[] = u
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end
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display(fig)
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end
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function coord_to_index(x, y, N)
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ix = clamp(round(Int, x), 1, N)
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iy = clamp(round(Int, y), 1, N)
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return ix, iy
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end
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function reset!(U, V, heat_obs)
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U .= 1.0
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V .= 0.0
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center = size(U, 1) ÷ 2
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radius = 10
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U[center-radius:center+radius, center-radius:center+radius] .= 0.50
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V[center-radius:center+radius, center-radius:center+radius] .= 0.25
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heat_obs[] = copy(U)
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end
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function param_box!(grid, row, labeltxt, observable::Observable)
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Label(grid[row, 1], labeltxt)
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box = Textbox(grid[row, 2], validator=Float64, width=50, placeholder=labeltxt, stored_string="$(observable[])")
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on(box.stored_string) do s
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try
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observable[] = parse(Float64, s)
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println("changed $labeltxt to $s")
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catch
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@warn "Invalid input for $labeltxt: $s"
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end
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end
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end
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function build_ui(U, V, Du, Dv, F, k, params_obs, heat_obs)
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reset!(U, V, heat_obs)
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fig = Figure(size=(800, 800))
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gh = GridLayout(fig[1, 1])
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ax = Axis(gh[1, 1])
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hm = Makie.heatmap!(ax, heat_obs, colormap=:viridis)
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deactivate_interaction!(ax, :rectanglezoom)
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ax.aspect = DataAspect()
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run_label = Observable{String}("Run")
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stepsize = Observable(30)
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spoint = select_point(ax.scene)
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# # Controls
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fig[2, 1] = buttongrid = GridLayout(ax.scene, tellwidth=false)
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btn_step = Button(buttongrid[1, 1], width=50, label="Step")
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btn_start = Button(buttongrid[1, 2], width=50, label=run_label)
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btn_reset = Button(buttongrid[1, 3], width=50, label="Reset")
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slidergrid = SliderGrid(fig[3, 1], (label="Speed", range=1:1:100, format="{}x", width=350, startvalue=stepsize[]))
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speed_slider = slidergrid.sliders[1].value
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gh[1, 2] = textboxgrid = GridLayout(ax.scene, tellwidth=false)
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rowsize!(gh, 1, Relative(1.0))
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param_box!(textboxgrid, 1, "Du", Du)
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param_box!(textboxgrid, 2, "Dv", Dv)
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param_box!(textboxgrid, 3, "Feed", F)
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param_box!(textboxgrid, 4, "kill", k)
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# Timer and state for animation
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running = Observable(false)
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on(running) do r
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run_label[] = r ? "Pause" : "Run"
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end
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on(speed_slider) do s
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try
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stepsize[] = s
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println("Changed stepsize to $s")
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catch
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@warn "Invalid input for $s"
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end
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end
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# Button Listeners
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on(btn_step.clicks) do _
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multi_step!((U, V), stepsize[], heat_obs, params_obs)
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end
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on(btn_start.clicks) do _
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running[] = !running[]
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end
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on(btn_start.clicks) do _
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@async while running[]
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multi_step!((U, V), stepsize[], heat_obs, params_obs)
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sleep(0.0015) # ~20 FPS
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end
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end
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on(btn_reset.clicks) do _
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running[] = false
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reset!(U, V, heat_obs)
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end
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on(spoint) do pt
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r = 5
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if pt === nothing
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return
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end
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x, y = pt
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println("params_obs[].N, ", params_obs[].N)
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i, j = coord_to_index(x, y, params_obs[].N)
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# get corners of square that will get filled with concentration
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imin = max(i - r, 1)
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imax = min(i + r, params_obs[].N)
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jmin = max(j - r, 1)
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jmax = min(j + r, params_obs[].N)
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# set disbalanced concentration of U and V
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U[imin:imax, jmin:jmax] .= 0.5
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V[imin:imax, jmin:jmax] .= 0.25
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heat_obs[] = copy(U)
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end
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return fig
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end
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export step_through_solution, build_ui
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end
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Loading…
Reference in New Issue