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Commit d4f93e9d authored by Bentriou Mahmoud's avatar Bentriou Mahmoud
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Add of 2 automata:

- A_per (period_automaton) computes noisy period of an oscillatory model
- A_eucl (euclidean_distance) computes euclidean distance with regard to
data points of a trajectory.

1 script that plots oscillatory trajectory is added
parent 00b622f3
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# l0 loc
# l0 => l1
@everywhere cc_eucl_dist_aut_l0l1_1(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) = true
# l1 loc
# l1 => l1
@everywhere cc_eucl_dist_aut_l1l1_1(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
S[:t] >= constants[Symbol("tml_$(S[:idx])")]
@everywhere us_eucl_dist_aut_l1l1_1!(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S[:d] += (S[:n] - constants[Symbol("y_$(S[:idx])")])^2;
S[:idx] += 1.0)
# l1 => l2
@everywhere cc_eucl_dist_aut_l1l2_1(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
S[:idx] >= constants[:nbr_obs] + 1
@everywhere us_eucl_dist_aut_l1l2_1!(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S.loc = :l2;
S[:d] = sqrt(S[:d]))
@everywhere cc_eucl_dist_aut_l1l1_2(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) = true
function create_euclidean_distance_automaton(m::ContinuousTimeModel, timeline::Vector{Float64}, observations::Vector{Float64}, sym_obs::VariableModel)
@assert sym_obs in m.g "$(sym_obs) is not observed."
@assert length(timeline) == length(observations)
nbr_observations = length(observations)
# Locations
locations = [:l0, :l1, :l2]
## Invariant predicates
true_inv_predicate(x::Vector{Int}) = true
Λ_F = Dict(:l0 => true_inv_predicate, :l1 => true_inv_predicate,
:l2 => true_inv_predicate)
## Init and final loc
locations_init = [:l0]
locations_final = [:l2]
map_var_automaton_idx = Dict{VariableAutomaton,Int}(:t => 1, :n => 2,
:d => 3, :idx => 4)
nbr_first_vars = 4
for i = 1:nbr_observations
map_var_automaton_idx[Symbol("tml_$(convert(Float64, i))")] = nbr_first_vars + i
end
for i = 1:nbr_observations
map_var_automaton_idx[Symbol("y_$(convert(Float64, i))")] = nbr_first_vars + nbr_observations + i
end
vector_flow = zeros(nbr_first_vars + 2*nbr_observations)
vector_flow[1] = 1.0
flow = Dict{Location,Vector{Float64}}(:l0 => vector_flow,
:l1 => vector_flow,
:l2 => vector_flow)
## Edges
map_edges = Dict{Location, Dict{Location, Vector{Edge}}}()
for loc in locations
map_edges[loc] = Dict{Location, Vector{Edge}}()
end
idx_obs_var = getfield(m, :map_var_idx)[sym_obs]
nbr_rand = rand(1:1000)
basename_func = "$(replace(m.name, ' '=>'_'))_$(nbr_rand)"
basename_func = replace(basename_func, '-'=>'_')
# l0 loc
# l0 => l1
sym_func_us_l0l1_1 = Symbol("us_eucl_dist_$(basename_func)_l0l1_1!")
str_us_l0l1_1 = "
@everywhere $(sym_func_us_l0l1_1)(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) = \n
(S.loc = :l1; \n
S[:n] = x[$(idx_obs_var)];\n
S[:d] = 0.0;\n
S[:idx] = 1.0)"
eval(Meta.parse(str_us_l0l1_1))
edge1 = Edge([nothing], getfield(Main, :cc_eucl_dist_aut_l0l1_1), getfield(Main, sym_func_us_l0l1_1))
map_edges[:l0][:l1] = [edge1]
# l1 loc
# l1 => l1
sym_func_us_l1l2_2 = Symbol("us_eucl_dist_$(basename_func)_l1l2_2!")
str_us_l1l2_2 = "
@everywhere $(sym_func_us_l1l2_2)(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =\n
(S[:n] = x[$(idx_obs_var)])"
eval(Meta.parse(str_us_l1l2_2))
edge1 = Edge([nothing], getfield(Main, :cc_eucl_dist_aut_l1l1_1), getfield(Main, :us_eucl_dist_aut_l1l1_1!))
edge2 = Edge([:ALL], getfield(Main, :cc_eucl_dist_aut_l1l1_2), getfield(Main, sym_func_us_l1l2_2))
map_edges[:l1][:l1] = [edge1, edge2]
# l1 => l2
edge1 = Edge([nothing], getfield(Main, :cc_eucl_dist_aut_l1l2_1), getfield(Main, :us_eucl_dist_aut_l1l2_1!))
map_edges[:l1][:l2] = [edge1]
## Constants
constants = Dict{Symbol,Float64}(:nbr_obs => nbr_observations)
for i = 1:nbr_observations
constants[Symbol("tml_$(convert(Float64, i))")] = timeline[i]
constants[Symbol("y_$(convert(Float64, i))")] = observations[i]
end
A = LHA("Euclidean distance", m.transitions, locations, Λ_F, locations_init, locations_final,
map_var_automaton_idx, flow, map_edges, constants, m.map_var_idx)
return A
end
export create_euclidean_distance_automaton
## Edge functions
# l0 loc
# * l0 => l0
@everywhere cc_aut_per_l0l0_1(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
true
@everywhere us_aut_per_l0l0_1!(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(nothing)
# * l0 => l0prime
@everywhere cc_aut_per_l0l0prime_1(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
S[:t] >= constants[:initT]
@everywhere us_aut_per_l0l0prime_1!(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S.loc = :l0prime)
# * l0 => low
@everywhere cc_aut_per_l0low_1(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
S[:t] >= constants[:initT]
@everywhere us_aut_per_l0low_1!(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S.loc = :low;
S[:t] = 0.0;
S[:top] = 0.0;
S[:n] = -1)
# l0prime
# * l0prime => l0prime
@everywhere cc_aut_per_l0primel0prime_1(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
true
@everywhere us_aut_per_l0primel0prime_1!(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(nothing)
# * l0prime => low
@everywhere cc_aut_per_l0primelow_1(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
true
@everywhere us_aut_per_l0primelow_1!(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S.loc = :low;
S[:t] = 0.0;
S[:top] = 0.0;
S[:n] = -1)
# low
# * low => low
@everywhere cc_aut_per_lowlow_1(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
S[:n] < constants[:N]
@everywhere us_aut_per_lowlow_1!(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(nothing)
# * low => mid
@everywhere cc_aut_per_lowmid_1(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
S[:n] < constants[:N]
@everywhere us_aut_per_lowmid_1!(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S.loc = :mid)
# * low => final
@everywhere cc_aut_per_lowfinal_1(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
S[:n] == constants[:N]
@everywhere us_aut_per_lowfinal_1!(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S.loc = :final)
# mid
# * mid => mid
@everywhere cc_aut_per_midmid_1(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
S[:n] < constants[:N]
@everywhere us_aut_per_midmid_1!(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(nothing)
# * mid => low
@everywhere cc_aut_per_midlow_1(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
S[:n] < constants[:N] &&
S[:top] == 0.0
@everywhere us_aut_per_midlow_1!(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S.loc = :low)
@everywhere cc_aut_per_midlow_2(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
S[:n] == -1.0 &&
S[:top] == 1.0
@everywhere us_aut_per_midlow_2!(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S.loc = :low;
S[:n] += 1;
S[:t] = 0.0;
S[:top] = 0.0)
@everywhere cc_aut_per_midlow_3(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(0 <= S[:n] <= 1) &&
S[:top] == 1.0
@everywhere us_aut_per_midlow_3!(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S.loc = :low;
S[:n] += 1;
S[:top] = 0.0;
S[:mean_tp] = (S[:mean_tp] * (S[:n]-1) + S[:tp]) / S[:n];
S[:tp] = 0.0)
@everywhere cc_aut_per_midlow_4(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(2 <= S[:n] < constants[:N]) &&
S[:top] == 1.0
@everywhere us_aut_per_midlow_4!(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S.loc = :low;
S[:n] += 1;
S[:top] = 0.0;
S[:mean_tp] = (S[:mean_tp] * (S[:n]-1) + S[:tp]) / S[:n];
S[:var_tp] = (S[:var_tp] * (S[:n]-1) + (S[:mean_tp]-S[:tp])^2) / S[:n];
S[:tp] = 0.0)
# * mid => high
@everywhere cc_aut_per_midhigh_1(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
S[:n] < constants[:N]
@everywhere us_aut_per_midhigh_1!(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S.loc = :high;
S[:top] = 1.0)
# * mid => final
@everywhere cc_aut_per_midfinal_1(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
S[:n] == constants[:N]
@everywhere us_aut_per_midfinal_1!(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S.loc = :final)
# high
# * high => high
@everywhere cc_aut_per_highhigh_1(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
S[:n] < constants[:N]
@everywhere us_aut_per_highhigh_1!(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(nothing)
# * high => mid
@everywhere cc_aut_per_highmid_1(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
S[:n] < constants[:N]
@everywhere us_aut_per_highmid_1!(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S.loc = :mid)
# * high => final
@everywhere cc_aut_per_highfinal_1(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
S[:n] == constants[:N]
@everywhere us_aut_per_highfinal_1!(S::StateLHA, constants::Dict{Symbol,Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S.loc = :final)
function create_period_automaton(m::ContinuousTimeModel, L::Float64, H::Float64, N::Int, sym_obs::VariableModel;
initT::Float64 = 0.0)
@assert sym_obs in m.g "$(sym_obs) is not observed."
N = convert(Float64, N)
nbr_rand = rand(1:1000)
basename_func = "$(replace(m.name, ' '=>'_'))_$(nbr_rand)"
basename_func = replace(basename_func, '-'=>'_')
## Locations
locations = [:l0, :l0prime, :low, :mid, :high, :final]
## Invariant predicates
idx_sym_obs = getfield(m, :map_var_idx)[sym_obs]
sym_name_L = Symbol("val_L_aut_per_$(basename_func)")
sym_name_H = Symbol("val_H_aut_per_$(basename_func)")
@everywhere true_predicate(x::Vector{Int}) = true
@everywhere low_predicate(x::Vector{Int}) = x[$(Meta.quot(idx_sym_obs))] <= $L
@everywhere not_low_predicate(x::Vector{Int}) = !low_predicate(x)
@everywhere mid_predicate(x::Vector{Int}) = $L < x[$(Meta.quot(idx_sym_obs))] < $H
@everywhere high_predicate(x::Vector{Int}) = x[$(Meta.quot(idx_sym_obs))] >= $H
#=
eval(Meta.parse("@everywhere true_predicate(x::Vector{Int}) = true"))
eval(Meta.parse("@everywhere low_predicate(x::Vector{Int}) = x[$(Meta.quot(idx_sym_obs))] <= $L"))
eval(Meta.parse("@everywhere not_low_predicate(x::Vector{Int}) = !low_predicate(x)"))
eval(Meta.parse("@everywhere mid_predicate(x::Vector{Int}) = L < x[$(Meta.quot(idx_sym_obs))] < $H"))
eval(Meta.parse("@everywhere high_predicate(x::Vector{Int}) = x[$(Meta.quot(idx_sym_obs))] >= $H"))
=#
Λ_F = Dict(:l0 => getfield(Main, :true_predicate), :l0prime => getfield(Main, :not_low_predicate),
:low => getfield(Main, :low_predicate), :mid => getfield(Main, :mid_predicate),
:high => getfield(Main, :high_predicate), :final => getfield(Main, :true_predicate))
## Init and final loc
locations_init = [:l0]
locations_final = [:final]
## Map of automaton variables
map_var_automaton_idx = Dict{VariableAutomaton,Int}(:t => 1, :n => 2, :top => 3, :tp => 4,
:mean_tp => 5, :var_tp => 6)
flow = Dict{Location,Vector{Float64}}(:l0 => [1.0,0.0,0.0,0.0,0.0,0.0],
:l0prime => [1.0,0.0,0.0,0.0,0.0,0.0],
:low => [1.0,0.0,0.0,1.0,0.0,0.0],
:mid => [1.0,0.0,0.0,1.0,0.0,0.0],
:high => [1.0,0.0,0.0,1.0,0.0,0.0],
:final => [1.0,0.0,0.0,0.0,0.0,0.0])
## Edges
map_edges = Dict{Location, Dict{Location, Vector{Edge}}}()
for loc in locations
map_edges[loc] = Dict{Location, Vector{Edge}}()
end
# l0 loc
# * l0 => l0
edge_1 = Edge([:ALL], getfield(Main, :cc_aut_per_l0l0_1), getfield(Main, :us_aut_per_l0l0_1!))
map_edges[:l0][:l0] = [edge_1]
# * l0 => l0prime
edge_1 = Edge([nothing], getfield(Main, :cc_aut_per_l0l0prime_1), getfield(Main, :us_aut_per_l0l0prime_1!))
map_edges[:l0][:l0prime] = [edge_1]
# * l0 => low
edge_1 = Edge([nothing], getfield(Main, :cc_aut_per_l0low_1), getfield(Main, :us_aut_per_l0low_1!))
map_edges[:l0][:low] = [edge_1]
# l0prime
# * l0prime => l0prime
edge_1 = Edge([:ALL], getfield(Main, :cc_aut_per_l0primel0prime_1), getfield(Main, :us_aut_per_l0primel0prime_1!))
map_edges[:l0prime][:l0prime] = [edge_1]
# * l0prime => low
edge_1 = Edge([nothing], getfield(Main, :cc_aut_per_l0primelow_1), getfield(Main, :us_aut_per_l0primelow_1!))
map_edges[:l0prime][:low] = [edge_1]
# low
# * low => low
edge_1 = Edge([:ALL], getfield(Main, :cc_aut_per_lowlow_1), getfield(Main, :us_aut_per_lowlow_1!))
map_edges[:low][:low] = [edge_1]
# * low => mid
edge_1 = Edge([:ALL], getfield(Main, :cc_aut_per_lowmid_1), getfield(Main, :us_aut_per_lowmid_1!))
map_edges[:low][:mid] = [edge_1]
# * low => final
edge_1 = Edge([nothing], getfield(Main, :cc_aut_per_lowfinal_1), getfield(Main, :us_aut_per_lowfinal_1!))
map_edges[:low][:final] = [edge_1]
# mid
# * mid => mid
edge_1 = Edge([:ALL], getfield(Main, :cc_aut_per_midmid_1), getfield(Main, :us_aut_per_midmid_1!))
map_edges[:mid][:mid] = [edge_1]
# * mid => low
edge_1 = Edge([:ALL], getfield(Main, :cc_aut_per_midlow_1), getfield(Main, :us_aut_per_midlow_1!))
edge_2 = Edge([:ALL], getfield(Main, :cc_aut_per_midlow_2), getfield(Main, :us_aut_per_midlow_2!))
edge_3 = Edge([:ALL], getfield(Main, :cc_aut_per_midlow_3), getfield(Main, :us_aut_per_midlow_3!))
edge_4 = Edge([:ALL], getfield(Main, :cc_aut_per_midlow_4), getfield(Main, :us_aut_per_midlow_4!))
map_edges[:mid][:low] = [edge_1, edge_2, edge_3, edge_4]
# * mid => high
edge_1 = Edge([:ALL], getfield(Main, :cc_aut_per_midhigh_1), getfield(Main, :us_aut_per_midhigh_1!))
map_edges[:mid][:high] = [edge_1]
# * mid => final
edge_1 = Edge([nothing], getfield(Main, :cc_aut_per_midfinal_1), getfield(Main, :us_aut_per_midfinal_1!))
map_edges[:mid][:final] = [edge_1]
# high
# * high => high
edge_1 = Edge([:ALL], getfield(Main, :cc_aut_per_highhigh_1), getfield(Main, :us_aut_per_highhigh_1!))
map_edges[:high][:high] = [edge_1]
# * high => mid
edge_1 = Edge([:ALL], getfield(Main, :cc_aut_per_highmid_1), getfield(Main, :us_aut_per_highmid_1!))
map_edges[:high][:mid] = [edge_1]
# * high => final
edge_1 = Edge([nothing], getfield(Main, :cc_aut_per_highfinal_1), getfield(Main, :us_aut_per_highfinal_1!))
map_edges[:high][:final] = [edge_1]
## Constants
constants = Dict{Symbol,Float64}(:N => N, :L => L, :H => H, :initT => initT)
A = LHA("Period", m.transitions, locations, Λ_F, locations_init, locations_final,
map_var_automaton_idx, flow, map_edges, constants, m.map_var_idx)
return A
end
export create_period_automaton
using MarkovProcesses
load_plots()
load_model("doping_3way_oscillator")
load_automaton("period_automaton")
A_per = create_period_automaton(doping_3way_oscillator, 300.0, 360.0, 5, :A)
sync_doping = doping_3way_oscillator * A_per
set_time_bound!(sync_doping, 0.1)
set_x0!(doping_3way_oscillator, [:A, :B, :C, :DA, :DB, :DC], [333, 333, 333, 10, 10, 10])
σ = simulate(sync_doping)
plot(σ; A = A_per, filename = "traj_full.png")
plot(σ, :A; A = A_per, filename = "traj_A.png")
plot_periodic_trajectory(A_per, σ, :A, filename = "traj_automaton.png")
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