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# File for benchmarking simulation and memory access of the package.
_get_values_col(σ::AbstractTrajectory, var::String) =
σ.values[(σ.m)._map_obs_var_idx[var],:]
_get_values_row(σ::AbstractTrajectory, var::String) =
σ.values[:,(σ.m)._map_obs_var_idx[var]]
function _simulate_col(m::ContinuousTimeModel)
# trajectory fields
full_values = zeros(m.d, 0)
times = zeros(0)
transitions = Vector{Union{String,Nothing}}(undef,0)
# values at time n
n = 0
xn = m.x0
tn = m.t0
tr = [""]
# at time n+1
xnplus1 = zeros(Int, m.d)
tnplus1 = zeros(Float64, 1)
is_absorbing = (m.is_absorbing(m.p,xn))::Bool
while !is_absorbing && (tn <= m.time_bound)
m.f!(xnplus1, tnplus1, tr, xn, tn, m.p)
full_values = hcat(full_values, xnplus1)
push!(times, tnplus1[1])
push!(transitions, tr[1])
xn, tn = xnplus1, tnplus1[1]
n += 1
is_absorbing = m.is_absorbing(m.p,xn)::Bool
end
values = @view full_values[m._g_idx,:]
if is_bounded(m)
if times[end] > m.time_bound
values[:, end] = values[:,end-1]
times[end] = m.time_bound
transitions[end] = nothing
end
end
return Trajectory(m, values, times, transitions)
end
function _simulate_row(m::ContinuousTimeModel)
# trajectory fields
full_values = zeros(m.d, 0)
times = zeros(0)
transitions = Vector{Union{String,Nothing}}(undef,0)
# values at time n
n = 0
xn = m.x0
tn = m.t0
tr = [""]
# at time n+1
xnplus1 = zeros(Int, m.d)
tnplus1 = zeros(Float64, 1)
is_absorbing = (m.is_absorbing(m.p,xn))::Bool
while !is_absorbing && (tn <= m.time_bound)
m.f!(xnplus1, tnplus1, tr, xn, tn, m.p)
full_values = vcat(full_values, xnplus1)
push!(times, tnplus1[1])
push!(transitions, tr[1])
xn, tn = xnplus1, tnplus1[1]
n += 1
is_absorbing = m.is_absorbing(m.p,xn)::Bool
end
values = @view full_values[m._g_idx,:]
if is_bounded(m)
if times[end] > m.time_bound
values[:, end] = values[:,end-1]
times[end] = m.time_bound
transitions[end] = nothing
end
end
return Trajectory(m, values, times, transitions)
end
function _simulate_col_buffer(m::ContinuousTimeModel; buffer_size::Int = 5)
# trajectory fields
full_values = zeros(m.d, 0)
times = zeros(0)
transitions = Vector{Union{String,Nothing}}(undef,0)
# values at time n
n = 0
xn = m.x0
tn = m.t0
# at time n+1
mat_x = zeros(Int, m.d, buffer_size)
l_t = zeros(Float64, buffer_size)
l_tr = Vector{String}(undef, buffer_size)
is_absorbing = m.is_absorbing(m.p,xn)::Bool
while !is_absorbing && (tn <= m.time_bound)
i = 0
while i < buffer_size && !is_absorbing && (tn <= m.time_bound)
i += 1
m.f!(mat_x, l_t, l_tr, i, xn, tn, m.p)
xn = @view mat_x[:,i]
tn = l_t[i]
is_absorbing = m.is_absorbing(m.p,xn)::Bool
end
full_values = hcat(full_values, @view mat_x[:,1:i])
append!(times, @view l_t[1:i])
append!(transitions, @view l_tr[1:i])
n += i
is_absorbing = m.is_absorbing(m.p,xn)::Bool
end
values = @view full_values[m._g_idx,:]
if is_bounded(m)
if times[end] > m.time_bound
values[:, end] = values[:,end-1]
times[end] = m.time_bound
transitions[end] = nothing
end
end
return Trajectory(m, values, times, transitions)
end
function _simulate_row_buffer(m::ContinuousTimeModel; buffer_size::Int = 5)
# trajectory fields
full_values = zeros(0, m.d)
times = zeros(0)
transitions = Vector{Union{String,Nothing}}(undef,0)
# values at time n
n = 0
xn = m.x0
tn = m.t0
# at time n+1
mat_x = zeros(Int, buffer_size, m.d)
l_t = zeros(Float64, buffer_size)
l_tr = Vector{String}(undef, buffer_size)
is_absorbing = m.is_absorbing(m.p,xn)::Bool
while !is_absorbing && (tn <= m.time_bound)
i = 0
while i < buffer_size && !is_absorbing && (tn <= m.time_bound)
i += 1
m.f!(mat_x, l_t, l_tr, i, xn, tn, m.p)
xn = @view mat_x[:,i]
tn = l_t[i]
is_absorbing = m.is_absorbing(m.p,xn)::Bool
end
full_values = vcat(full_values, @view mat_x[1:i,:])
append!(times, @view l_t[1:i])
append!(transitions, @view l_tr[1:i])
n += i
is_absorbing = m.is_absorbing(m.p,xn)::Bool
end
values = @view full_values[:,m._g_idx]
if is_bounded(m)
if times[end] > m.time_bound
values[end,:] = values[end-1,:]
times[end] = m.time_bound
transitions[end] = nothing
end
end
return Trajectory(m, values, times, transitions)
end