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Commit dc5689b5 authored by Bentriou Mahmoud's avatar Bentriou Mahmoud
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Finally I managed to improve the performance of function access of LHA. 

The solution is to use FunctionWrappers.jl which provides a high
interface for C function pointers.

All tests passed.
parent 99ece473
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automata/automaton_F.jl
View file @ dc5689b5
# Creation of the automaton types
@everywhere @eval abstract type EdgeAutomatonF <: Edge end
#@everywhere @eval abstract type EdgeAutomatonF <: Edge end
@everywhere struct EdgeAutomatonF <: Edge
transitions::TransitionSet
check_constraints::CheckConstraintsFunction
update_state!::UpdateStateFunction
end
@everywhere @eval $(MarkovProcesses.generate_code_lha_type_def(:AutomatonF, :EdgeAutomatonF))
function create_automaton_F(m::ContinuousTimeModel, x1::Float64, x2::Float64, t1::Float64, t2::Float64, sym_obs::VariableModel)
......@@ -46,78 +51,85 @@ function create_automaton_F(m::ContinuousTimeModel, x1::Float64, x2::Float64, t1
basename_func = "$(model_name)_$(id)"
edge_name(from_loc::Location, to_loc::Location, edge_number::Int) =
Symbol("Edge_$(lha_name)_$(basename_func)_$(from_loc)$(to_loc)_$(edge_number)")
function check_constraints(from_loc::Location, to_loc::Location, edge_number::Int)
return Symbol("check_constraints_$(edge_type)_$(from_loc)$(to_loc)_$(edge_number)_$(model_name)_$(id)")
end
function update_state!(from_loc::Location, to_loc::Location, edge_number::Int)
return Symbol("update_state_$(edge_type)_$(from_loc)$(to_loc)_$(edge_number)_$(model_name)_$(id)!")
end
## check_constraints & update_state!
@everywhere @eval begin
istrue(val::Float64) = convert(Bool, val)
meta_funcs = quote
@everywhere istrue(val::Float64) = convert(Bool, val)
## Check constraints and update state functions
# l0 loc : we construct the edges of the form l0 => (..)
# "cc" as check_constraints and "us" as update_state
# l0 => l1
struct $(edge_name(:l0, :l1, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
$(check_constraints)(edge::$(edge_name(:l0, :l1, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) = true
$(update_state!)(edge::$(edge_name(:l0, :l1, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
#struct $(edge_name(:l0, :l1, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
@everywhere $(check_constraints(:l0, :l1, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) = true
@everywhere $(update_state!(:l0, :l1, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S_values[$(to_idx(:n))] = x[$(idx_obs_var)];
S_values[$(to_idx(:d))] = Inf;
S_values[$(to_idx(:isabs))] = $(m.isabsorbing)(p,x);
:l1)
# l1 loc
# l1 => l2
struct $(edge_name(:l1, :l2, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
$(check_constraints)(edge::$(edge_name(:l1, :l2, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
#struct $(edge_name(:l1, :l2, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
@everywhere $(check_constraints(:l1, :l2, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
S_time >= $t1 &&
S_values[$(to_idx(:d))] == 0
$(update_state!)(edge::$(edge_name(:l1, :l2, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
@everywhere $(update_state!(:l1, :l2, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(:l2)
struct $(edge_name(:l1, :l2, 2)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
$(check_constraints)(edge::$(edge_name(:l1, :l2, 2)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
#struct $(edge_name(:l1, :l2, 2)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
@everywhere $(check_constraints(:l1, :l2, 2))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S_time >= $t2) &&
(S_values[$(to_idx(:n))] < $x1 || S_values[$(to_idx(:n))] > $x2)
$(update_state!)(edge::$(edge_name(:l1, :l2, 2)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
@everywhere $(update_state!(:l1, :l2, 2))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(:l2;)
#setindex!(S_values, min(abs(S_values[$(to_idx(:n))] - $x1), abs(S_values[$(to_idx(:n))] - $x2)), $(to_idx(:d))))
# l1 => l3
struct $(edge_name(:l1, :l3, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
$(check_constraints)(edge::$(edge_name(:l1, :l3, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
#struct $(edge_name(:l1, :l3, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
@everywhere $(check_constraints(:l1, :l3, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S_time <= $t1) &&
(S_values[$(to_idx(:n))] < $x1 || S_values[$(to_idx(:n))] > $x2)
$(update_state!)(edge::$(edge_name(:l1, :l3, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
@everywhere $(update_state!(:l1, :l3, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S_values[$(to_idx(:d))] = min(sqrt((S_time - $t1)^2 + (S_values[$(to_idx(:n))] - $x2)^2),
sqrt((S_time - $t1)^2 + (S_values[$(to_idx(:n))] - $x1)^2));
:l3)
struct $(edge_name(:l1, :l3, 2)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
$(check_constraints)(edge::$(edge_name(:l1, :l3, 2)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
#struct $(edge_name(:l1, :l3, 2)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
@everywhere $(check_constraints(:l1, :l3, 2))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
($x1 <= S_values[$(to_idx(:n))] <= $x2)
$(update_state!)(edge::$(edge_name(:l1, :l3, 2)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
@everywhere $(update_state!(:l1, :l3, 2))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S_values[$(to_idx(:d))] = 0;
:l3)
struct $(edge_name(:l1, :l3, 3)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
$(check_constraints)(edge::$(edge_name(:l1, :l3, 3)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
#struct $(edge_name(:l1, :l3, 3)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
@everywhere $(check_constraints(:l1, :l3, 3))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S_time >= $t1) &&
(S_values[$(to_idx(:n))] < $x1 || S_values[$(to_idx(:n))] > $x2)
$(update_state!)(edge::$(edge_name(:l1, :l3, 3)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
@everywhere $(update_state!(:l1, :l3, 3))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(val_min = min(S_values[$(to_idx(:d))],
min(abs(S_values[$(to_idx(:n))] - $x1), abs(S_values[$(to_idx(:n))] - $x2)));
S_values[$(to_idx(:d))] = val_min;
:l3)
# l3 loc
# l3 => l1
struct $(edge_name(:l3, :l1, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
$(check_constraints)(edge::$(edge_name(:l3, :l1, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) = true
$(update_state!)(edge::$(edge_name(:l3, :l1, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
#struct $(edge_name(:l3, :l1, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
@everywhere $(check_constraints(:l3, :l1, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) = true
@everywhere $(update_state!(:l3, :l1, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S_values[$(to_idx(:n))] = x[$(idx_obs_var)];
S_values[$(to_idx(:isabs))] = $(m.isabsorbing)(p,x);
:l1)
# l3 => l2
struct $(edge_name(:l3, :l2, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
$(check_constraints)(edge::$(edge_name(:l3, :l2, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
#struct $(edge_name(:l3, :l2, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
@everywhere $(check_constraints(:l3, :l2, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S_time >= $t2 || istrue(S_values[$(to_idx(:isabs))]))
$(update_state!)(edge::$(edge_name(:l3, :l2, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
@everywhere $(update_state!(:l3, :l2, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(:l2)
end
eval(meta_funcs)
@eval begin
map_edges = Dict{Location, Dict{Location, Vector{$(edge_type)}}}()
......@@ -127,46 +139,50 @@ function create_automaton_F(m::ContinuousTimeModel, x1::Float64, x2::Float64, t1
# l0 loc
# l0 => l1
edge1 = $(edge_name(:l0, :l1, 1))(nothing)
edge1 = EdgeAutomatonF(nothing, $(check_constraints(:l0, :l1, 1)), $(update_state!(:l0, :l1, 1)))
map_edges[:l0][:l1] = [edge1]
# l1 loc
# l1 => l2
edge1 = $(edge_name(:l1, :l2, 1))(nothing)
edge2 = $(edge_name(:l1, :l2, 2))(nothing)
edge1 = EdgeAutomatonF(nothing, $(check_constraints(:l1, :l2, 1)), $(update_state!(:l1, :l2, 1)))
edge2 = EdgeAutomatonF(nothing, $(check_constraints(:l1, :l2, 2)), $(update_state!(:l1, :l2, 2)))
map_edges[:l1][:l2] = [edge1, edge2]
#edge3 = $(edge_name(:l1, :l2, 3))(nothing)
#edge4 = $(edge_name(:l1, :l2, 4))(nothing)
#edge3 = EdgeAutomatonF(nothing, $(check_constraints(:l1, :l2, 3)), $(update_state!(:l1, :l2, 3)))
#edge4 = EdgeAutomatonF(nothing, $(check_constraints(:l1, :l2, 4)), $(update_state!(:l1, :l2, 4)))
#map_edges[:l1][:l2] = [edge1, edge2, edge3, edge4]
# l1 => l3
edge1 = $(edge_name(:l1, :l3, 1))(nothing)
edge2 = $(edge_name(:l1, :l3, 2))(nothing)
edge3 = $(edge_name(:l1, :l3, 3))(nothing)
edge1 = EdgeAutomatonF(nothing, $(check_constraints(:l1, :l3, 1)), $(update_state!(:l1, :l3, 1)))
edge2 = EdgeAutomatonF(nothing, $(check_constraints(:l1, :l3, 2)), $(update_state!(:l1, :l3, 2)))
edge3 = EdgeAutomatonF(nothing, $(check_constraints(:l1, :l3, 3)), $(update_state!(:l1, :l3, 3)))
map_edges[:l1][:l3] = [edge1, edge2, edge3]
# l3 loc
# l3 => l1
edge1 = $(edge_name(:l3, :l1, 1))([:ALL])
edge1 = EdgeAutomatonF([:ALL], $(check_constraints(:l3, :l1, 1)), $(update_state!(:l3, :l1, 1)))
map_edges[:l3][:l1] = [edge1]
# l3 => l2
edge1 = $(edge_name(:l3, :l2, 1))(nothing)
edge1 = EdgeAutomatonF(nothing, $(check_constraints(:l3, :l2, 1)), $(update_state!(:l3, :l2, 1)))
map_edges[:l3][:l2] = [edge1]
end
## Constants
constants = Dict{Symbol,Float64}(:x1 => x1, :x2 => x2, :t1 => t1, :t2 => t2)
map_edges_transitions = Dict{Symbol, Dict{Symbol,Vector{TransitionSet}}}()
map_edges_check_constraints = Dict{Symbol, Dict{Symbol,Vector{CheckConstraintsFunction}}}()
map_edges_update_state = Dict{Symbol, Dict{Symbol,Vector{UpdateStateFunction}}}()
# Updating types and simulation methods
@everywhere @eval $(MarkovProcesses.generate_code_synchronized_model_type_def(model_name, lha_name))
@everywhere @eval $(MarkovProcesses.generate_code_next_state(lha_name, edge_type, check_constraints, update_state!))
@everywhere @eval $(MarkovProcesses.generate_code_next_state(lha_name, edge_type))
@everywhere @eval $(MarkovProcesses.generate_code_synchronized_simulation(model_name, lha_name, edge_type, m.f!, m.isabsorbing))
A = AutomatonF(m.transitions, locations, Λ_F, locations_init, locations_final,
map_var_automaton_idx, flow, map_edges, constants, m.map_var_idx)
map_var_automaton_idx, flow, map_edges,
map_edges_transitions, map_edges_check_constraints, map_edges_update_state,
constants, m.map_var_idx)
return A
end
export create_automaton_F
automata/automaton_G.jl
View file @ dc5689b5
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automata/automaton_G_and_F.jl
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automata/euclidean_distance_automaton.jl
View file @ dc5689b5
# Creation of the automaton types
@everywhere @eval abstract type EdgeEuclideanDistanceAutomaton <: Edge end
#@everywhere @eval abstract type EdgeEuclideanDistanceAutomaton <: Edge end
@everywhere struct EdgeEuclideanDistanceAutomaton <: Edge
transitions::TransitionSet
check_constraints::CheckConstraintsFunction
update_state!::UpdateStateFunction
end
@everywhere @eval $(MarkovProcesses.generate_code_lha_type_def(:EuclideanDistanceAutomaton, :EdgeEuclideanDistanceAutomaton))
function create_euclidean_distance_automaton(m::ContinuousTimeModel, timeline::AbstractVector{Float64}, observations::AbstractVector{Float64}, sym_obs::VariableModel)
......@@ -43,14 +48,20 @@ function create_euclidean_distance_automaton(m::ContinuousTimeModel, timeline::A
basename_func = "$(model_name)_$(id)"
edge_name(from_loc::Location, to_loc::Location, edge_number::Int) =
Symbol("Edge_$(lha_name)_$(basename_func)_$(from_loc)$(to_loc)_$(edge_number)")
function check_constraints(from_loc::Location, to_loc::Location, edge_number::Int)
return Symbol("check_constraints_$(edge_type)_$(from_loc)$(to_loc)_$(edge_number)_$(model_name)_$(id)")
end
function update_state!(from_loc::Location, to_loc::Location, edge_number::Int)
return Symbol("update_state_$(edge_type)_$(from_loc)$(to_loc)_$(edge_number)_$(model_name)_$(id)!")
end
## check_constraints & update_state!
@everywhere @eval begin
meta_funcs = quote
# l0 loc
# l0 => l1
struct $(edge_name(:l0, :l1, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
$(check_constraints)(edge::$(edge_name(:l0, :l1, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) = true
$(update_state!)(edge::$(edge_name(:l0, :l1, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
#struct $(edge_name(:l0, :l1, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
@everywhere $(check_constraints(:l0, :l1, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) = true
@everywhere $(update_state!(:l0, :l1, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S_values[$(to_idx(:n))] = x[$(idx_obs_var)];
S_values[$(to_idx(:d))] = 0.0;
S_values[$(to_idx(:idx))] = 1.0;
......@@ -59,32 +70,33 @@ function create_euclidean_distance_automaton(m::ContinuousTimeModel, timeline::A
# l1 loc
# l1 => l1
# Defined below
struct $(edge_name(:l1, :l1, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
$(check_constraints)(edge::$(edge_name(:l1, :l1, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
#struct $(edge_name(:l1, :l1, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
@everywhere $(check_constraints(:l1, :l1, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(tml = $(Tuple(timeline));
tml_idx = tml[convert(Int, S_values[$(to_idx(:idx))])];
S_values[$(to_idx(:t))] >= tml_idx)
$(update_state!)(edge::$(edge_name(:l1, :l1, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
@everywhere $(update_state!(:l1, :l1, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(y_obs = $(Tuple(observations));
y_obs_idx = y_obs[convert(Int, S_values[$(to_idx(:idx))])];
S_values[$(to_idx(:d))] = S_values[$(to_idx(:d))]+(S_values[$(to_idx(:n))]-y_obs_idx)^2;
S_values[$(to_idx(:idx))] = S_values[$(to_idx(:idx))]+1.0;
:l1)
struct $(edge_name(:l1, :l1, 2)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
$(check_constraints)(edge::$(edge_name(:l1, :l1, 2)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) = true
$(update_state!)(edge::$(edge_name(:l1, :l1, 2)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
#struct $(edge_name(:l1, :l1, 2)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
@everywhere $(check_constraints(:l1, :l1, 2))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) = true
@everywhere $(update_state!(:l1, :l1, 2))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S_values[$(to_idx(:n))] = x[$(idx_obs_var)];
:l1)
# l1 => l2
struct $(edge_name(:l1, :l2, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
$(check_constraints)(edge::$(edge_name(:l1, :l2, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
#struct $(edge_name(:l1, :l2, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
@everywhere $(check_constraints(:l1, :l2, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
S_values[$(to_idx(:idx))] >= ($nbr_observations + 1)
$(update_state!)(edge::$(edge_name(:l1, :l2, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
@everywhere $(update_state!(:l1, :l2, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S_values[$(to_idx(:d))] = sqrt(S_values[$(to_idx(:d))]);
:l2)
end
eval(meta_funcs)
@eval begin
map_edges = Dict{Location,Dict{Location,Vector{$(edge_type)}}}()
......@@ -95,20 +107,24 @@ function create_euclidean_distance_automaton(m::ContinuousTimeModel, timeline::A
## Edges
# l0 loc
# l0 => l1
edge1 = $(edge_name(:l0, :l1, 1))(nothing)
edge1 = EdgeEuclideanDistanceAutomaton(nothing, $(check_constraints(:l0, :l1, 1)), $(update_state!(:l0, :l1, 1)))
map_edges[:l0][:l1] = [edge1]
# l1 loc
# l1 => l1
edge1 = $(edge_name(:l1, :l1, 1))(nothing)
edge2 = $(edge_name(:l1, :l1, 2))([:ALL])
edge1 = EdgeEuclideanDistanceAutomaton(nothing, $(check_constraints(:l1, :l1, 1)), $(update_state!(:l1, :l1, 1)))
edge2 = EdgeEuclideanDistanceAutomaton([:ALL], $(check_constraints(:l1, :l1, 2)), $(update_state!(:l1, :l1, 2)))
map_edges[:l1][:l1] = [edge1, edge2]
# l1 => l2
edge1 = $(edge_name(:l1, :l2, 1))(nothing)
edge1 = EdgeEuclideanDistanceAutomaton(nothing, $(check_constraints(:l1, :l2, 1)), $(update_state!(:l1, :l2, 1)))
map_edges[:l1][:l2] = [edge1]
end
map_edges_transitions = Dict{Symbol, Dict{Symbol,Vector{TransitionSet}}}()
map_edges_check_constraints = Dict{Symbol, Dict{Symbol,Vector{CheckConstraintsFunction}}}()
map_edges_update_state = Dict{Symbol, Dict{Symbol,Vector{UpdateStateFunction}}}()
## Constants
constants = Dict{Symbol,Float64}(:nbr_obs => nbr_observations)
for i = 1:nbr_observations
......@@ -118,11 +134,13 @@ function create_euclidean_distance_automaton(m::ContinuousTimeModel, timeline::A
# Updating types and simulation methods
@everywhere @eval $(MarkovProcesses.generate_code_synchronized_model_type_def(model_name, lha_name))
@everywhere @eval $(MarkovProcesses.generate_code_next_state(lha_name, edge_type, check_constraints, update_state!))
@everywhere @eval $(MarkovProcesses.generate_code_next_state(lha_name, edge_type))
@everywhere @eval $(MarkovProcesses.generate_code_synchronized_simulation(model_name, lha_name, edge_type, m.f!, m.isabsorbing))
A = EuclideanDistanceAutomaton(m.transitions, locations, Λ_F, locations_init, locations_final,
map_var_automaton_idx, flow, map_edges, constants, m.map_var_idx)
map_var_automaton_idx, flow,
map_edges, map_edges_transitions, map_edges_check_constraints, map_edges_update_state,
constants, m.map_var_idx)
return A
end
......
automata/euclidean_distance_automaton_2.jl
View file @ dc5689b5
# Creation of the automaton types
@everywhere @eval abstract type EdgeEuclideanDistanceAutomaton2 <: Edge end
#@everywhere @eval abstract type EdgeEuclideanDistanceAutomaton2 <: Edge end
@everywhere struct EdgeEuclideanDistanceAutomaton2 <: Edge
transitions::TransitionSet
check_constraints::CheckConstraintsFunction
update_state!::UpdateStateFunction
end
@everywhere @eval $(MarkovProcesses.generate_code_lha_type_def(:EuclideanDistanceAutomaton2,:EdgeEuclideanDistanceAutomaton2))
function create_euclidean_distance_automaton_2(m::ContinuousTimeModel, timeline::AbstractVector{Float64}, observations::AbstractVector{Float64}, sym_obs::VariableModel)
......@@ -48,99 +53,104 @@ function create_euclidean_distance_automaton_2(m::ContinuousTimeModel, timeline:
basename_func = "$(model_name)_$(id)"
edge_name(from_loc::Location, to_loc::Location, edge_number::Int) =
Symbol("Edge_$(lha_name)_$(basename_func)_$(from_loc)$(to_loc)_$(edge_number)")
function check_constraints(from_loc::Location, to_loc::Location, edge_number::Int)
return Symbol("check_constraints_$(edge_type)_$(from_loc)$(to_loc)_$(edge_number)_$(model_name)_$(id)")
end
function update_state!(from_loc::Location, to_loc::Location, edge_number::Int)
return Symbol("update_state_$(edge_type)_$(from_loc)$(to_loc)_$(edge_number)_$(model_name)_$(id)!")
end
loc_nbr_obs = Symbol("l$(nbr_observations)")
@everywhere @eval begin
meta_funcs = quote
# l0 loc
# l0 => l1
@everywhere struct $(edge_name(:l0, :l1, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
$(check_constraints)(edge::$(edge_name(:l0, :l1, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) = true
@everywhere $(update_state!)(edge::$(edge_name(:l0, :l1, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
#struct $(edge_name(:l0, :l1, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
@everywhere $(check_constraints(:l0, :l1, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) = true
@everywhere $(update_state!(:l0, :l1, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S_values[$(to_idx(:n))] = x[$(idx_obs_var)];
S_values[$(to_idx(:d))] = 0.0;
:l1)
# lnbr_obs => lfinal
@everywhere struct $(edge_name(loc_nbr_obs, :lfinal, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
$(check_constraints)(edge::$(edge_name(loc_nbr_obs, :lfinal, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
#struct $(edge_name(loc_nbr_obs, :lfinal, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
@everywhere $(check_constraints(loc_nbr_obs, :lfinal, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
S_values[$(to_idx(:t))] >= $(timeline[nbr_observations])
@everywhere $(update_state!)(edge::$(edge_name(loc_nbr_obs, :lfinal, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
@everywhere $(update_state!(loc_nbr_obs, :lfinal, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S_values[$(to_idx(:d))] = S_values[$(to_idx(:d))]+(S_values[$(to_idx(:n))]-$(observations[nbr_observations]))^2;
S_values[$(to_idx(:d))] = sqrt(S_values[$(to_idx(:d))]);
:lfinal)
# lnbr_obs => lnbr_obs
@everywhere struct $(edge_name(loc_nbr_obs, loc_nbr_obs, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
$(check_constraints)(edge::$(edge_name(loc_nbr_obs, loc_nbr_obs, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) = true
@everywhere $(update_state!)(edge::$(edge_name(loc_nbr_obs, loc_nbr_obs, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
#struct $(edge_name(loc_nbr_obs, loc_nbr_obs, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
@everywhere $(check_constraints(loc_nbr_obs, loc_nbr_obs, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) = true
@everywhere $(update_state!(loc_nbr_obs, loc_nbr_obs, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S_values[$(to_idx(:n))] = x[$(idx_obs_var)];
$(Meta.quot(loc_nbr_obs)))
end
eval(meta_funcs)
@eval begin
map_edges = Dict{Location,Dict{Location,Vector{$(edge_type)}}}()
for loc in $(locations)
map_edges[loc] = Dict{Location,Vector{$(edge_type)}}()
end
# l0 loc
# l0 => l1
edge1 = $(edge_name(:l0, :l1, 1))(nothing)
edge1 = EdgeEuclideanDistanceAutomaton2(nothing, $(check_constraints(:l0, :l1, 1)), $(update_state!(:l0, :l1, 1)))
map_edges[:l0][:l1] = [edge1]
# lnbr_obs => lfinal
edge1 = $(edge_name(loc_nbr_obs, :lfinal, 1))(nothing)
edge1 = EdgeEuclideanDistanceAutomaton2(nothing, $(check_constraints(loc_nbr_obs, :lfinal, 1)), $(update_state!(loc_nbr_obs, :lfinal, 1)))
map_edges[$(Meta.quot(loc_nbr_obs))][:lfinal] = [edge1]
# lnbr_obs => lnbr_obs
edge1 = $(edge_name(loc_nbr_obs, loc_nbr_obs, 1))([:ALL])
edge1 = EdgeEuclideanDistanceAutomaton2([:ALL], $(check_constraints(loc_nbr_obs, loc_nbr_obs, 1)), $(update_state!(loc_nbr_obs, loc_nbr_obs, 1)))
map_edges[$(Meta.quot(loc_nbr_obs))][$(Meta.quot(loc_nbr_obs))] = [edge1]
end
function generate_code_loci_functions(i::Int, loci::Symbol, locip1::Symbol)
return quote
struct $(edge_name(loci, locip1, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
$(check_constraints)(edge::$(edge_name(loci, locip1, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
for i = 1:(nbr_observations-1)
loci = Symbol("l$(i)")
locip1 = Symbol("l$(i+1)")
meta_funcs = quote
#struct $(edge_name(loci, locip1, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
@everywhere $(check_constraints(loci, locip1, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
S_values[$(to_idx(:t))] >= $(timeline[i])
$(update_state!)(edge::$(edge_name(loci, locip1, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
@everywhere $(update_state!(loci, locip1, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S_values[$(to_idx(:d))] = S_values[$(to_idx(:d))]+(S_values[$(to_idx(:n))]-$(observations[i]))^2;
$(Meta.quot(locip1)))
struct $(edge_name(loci, loci, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
$(check_constraints)(edge::$(edge_name(loci, loci, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) = true
$(update_state!)(edge::$(edge_name(loci, loci, 1)), S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
#struct $(edge_name(loci, loci, 1)) <: $(edge_type) transitions::Union{Nothing,Vector{Symbol}} end
@everywhere $(check_constraints(loci, loci, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) = true
@everywhere $(update_state!(loci, loci, 1))(S_time::Float64, S_values::Vector{Float64}, x::Vector{Int}, p::Vector{Float64}) =
(S_values[$(to_idx(:n))] = x[$(idx_obs_var)];
$(Meta.quot(loci)))
end
eval(meta_funcs)
# loci => loci+1
edge1 = EdgeEuclideanDistanceAutomaton2(nothing, getfield(Main, check_constraints(loci, locip1, 1)), getfield(Main, update_state!(loci, locip1, 1)))
map_edges[loci][locip1] = [edge1]
# loci => loci
edge1 = EdgeEuclideanDistanceAutomaton2([:ALL], getfield(Main, check_constraints(loci, loci, 1)), getfield(Main, update_state!(loci, loci, 1)))
map_edges[loci][loci] = [edge1]
end
function generate_code_loci_edges(loci::Symbol, locip1::Symbol)
return quote
# loci => loci+1
edge1 = $(edge_name(loci, locip1, 1))(nothing)
map_edges[$(Meta.quot(loci))][$(Meta.quot(locip1))] = [edge1]
# loci => loci
edge1 = $(edge_name(loci, loci, 1))([:ALL])
map_edges[$(Meta.quot(loci))][$(Meta.quot(loci))] = [edge1]
end
end
for i = 1:(nbr_observations-1)
loci = Symbol("l$(i)")
locip1 = Symbol("l$(i+1)")
@everywhere @eval $(generate_code_loci_functions(i, loci, locip1))
@everywhere @eval $(generate_code_loci_edges(loci, locip1))
end
## Constants
constants = Dict{Symbol,Float64}(:nbr_obs => nbr_observations)
map_edges_transitions = Dict{Symbol, Dict{Symbol,Vector{TransitionSet}}}()
map_edges_check_constraints = Dict{Symbol, Dict{Symbol,Vector{CheckConstraintsFunction}}}()
map_edges_update_state = Dict{Symbol, Dict{Symbol,Vector{UpdateStateFunction}}}()
# Updating types and simulation methods
@everywhere @eval $(MarkovProcesses.generate_code_synchronized_model_type_def(model_name, lha_name))
@everywhere @eval $(MarkovProcesses.generate_code_next_state(lha_name, edge_type, check_constraints, update_state!))
@everywhere @eval $(MarkovProcesses.generate_code_next_state(lha_name, edge_type))
@everywhere @eval $(MarkovProcesses.generate_code_synchronized_simulation(model_name, lha_name, edge_type, m.f!, m.isabsorbing))
A = EuclideanDistanceAutomaton2(m.transitions, locations, Λ_F, locations_init, locations_final,
map_var_automaton_idx, flow, map_edges, constants, m.map_var_idx)
map_var_automaton_idx, flow,
map_edges, map_edges_transitions, map_edges_check_constraints, map_edges_update_state,
constants, m.map_var_idx)
return A
end
automata/period_automaton.jl
View file @ dc5689b5
This diff is collapsed.
bench/pkg/sim_sync_R6.jl
View file @ dc5689b5
using BenchmarkTools
using MarkovProcesses
@everywhere using MarkovProcesses
using Profile
load_model("ER")
......
core/MarkovProcesses.jl
View file @ dc5689b5
......@@ -10,17 +10,19 @@ import Distributed: @everywhere, @distributed
import Distributions: Product, Uniform, Normal
import Distributions: Distribution, Univariate, Continuous, UnivariateDistribution,
MultivariateDistribution, product_distribution
import FunctionWrappers: FunctionWrapper
import StaticArrays: SVector, @SVector
## Exports
export Distribution, Product, Uniform, Normal
# Common types and constructors
export Observations, AbstractTrajectory, Trajectory, SynchronizedTrajectory
export SVector, @SVector
export Observations, AbstractTrajectory, Trajectory, SynchronizedTrajectory
export Model, ContinuousTimeModel, SynchronizedModel, ParametricModel
export VariableModel, ParameterModel, Transition, TransitionSet
export LHA, StateLHA, Edge, Location, VariableAutomaton
export InvariantPredicateFunction, CheckConstraintsFunction, UpdateStateFunction
# Trajectory related methods
export +, -, δ, dist_lp, euclidean_distance
......
core/common.jl
View file @ dc5689b5
......@@ -11,8 +11,12 @@ abstract type Edge end
const VariableModel = Symbol
const ParameterModel = Symbol
const Transition = Union{Symbol,Nothing}