change the stop criteration of a ContinuousTimeModel simulation.
Minor fix  in ContinuousTimeModel for the euclidean distance automata
tests.
Add of a test for stop criteria simulation of ContinousTimeModel
(unit/simulation_stop_criteria).

All tests passed.

Fix of distributed abc smc tests + add of a test.
Preparation for the new feature: add a stop criteria in the simulation.
All tests passed.

It computes the euclidean distance and finish the simulation if the
distance is above the tolerance epsilon.
I ha to change some function signature of types in core/model.jl but it
was minor changes.
I add a new test + change some others related to automata.
A minor rewriting core/model for better readability

update_state functions but performance gets worst.
With bench/pkg/abstract_arrays.jl i've highligthed each time a function
is in a collection performance gets worst.

implemetend in the package.
A lot of files has been modified because some of the internal syntax has
changed. But the top level methods should still work.

Two tests about the plots of synchronized oscillatory simulations have
been added.

All tests passed.

Julia shouldn't crash but rather raise an error about the existence
of a function generated by metaprogramming. I didn't manage to isolate
the segfault withtout the package.
To overcome the issue, I add another level of multiple dispatch/abstract
type for synchronized models.
Test of the euclidean distance automaton works.

Meta code generation for next_state! and simulation of synchronized trajectories. bench/pkg/euclidean_distance*.jl works but segfault with test/automata/euclidean*

This commit groups the change operated to the creation of models and
simulate function of a ContinuousTimeModel.
The general idea is to create a concrete type and a simulate function
 per model creation by metaprogramming.
- Now, ContinuousTimeModel is an abstract type. Each creation of a model
defines a concrete type T <: ContinuousTimeModel by meta programming.
- f! and isabsorbing ContinuousTimeModel fields are Symbols.
- simulate(::ContinuousTimeModel) is run by multiple dispatch, according
to the type of the model.

Can't run the whole tests for now but unit/simulate_available_models.jl
runs properly (i've updated the list of models in this commit), and I've
manually checked in the repl that simulations run correctly (distributed
/ plots).

edge_candidates on top-level of next_state! function.

integrated poisson model wasn't updated
improvement of plots
fix of synchronized simulation when state is absorbing
All tests passed

check_constraint and update_state functions are created inside
create_automaton_*(), by the evaluation of meta_elementary_functions <:
Expr. check_constraint and update_state don't depend on constants::Dict
anymore: constants are interpolated inside the expression.

Add of tests for euclidean distance automaton.
Add a new function euclidean_distance that computes the euclidean
distance of a Trajectory compared to observations along a discrete
timeline.

Simulation of synchronized models is easily distributable.
Change of the signature of check_constraints and update_state in order
to access the model parameters.
Test about distributed simulations was renamed and completed.

Replaced access of fields in models with getfield. Improvement of distribute_mean_lha_value: number of accepts are computed simultaneously.3

Fix in simulation of macro generated models. Small changes with variables types of the pkg. Small change in test of macro models.

models. It's a better semantic and improve performance as well as
readability of the code. All the tests passes (except the remark in the
last commit).

variableautomaton. It improves performance.

Tests of Cosmos doesn't pass on the bounds (with a parameter equal to
zero). It's a problem of design (there are issues for cosmos too).

of automata: it wasn't an issue about the simulation code of LHA but an
issue of LHA designs.

Improvement of a Cosmos utils method.

Now A.constants is a NamedTuple.

distributed_mean_value_lha now takes several variables.

Modification of print of models + renaming macro for creation of models in order to be more inclusive.

call of isabsorbing() during the simulation.

Now the package is a bit more efficient than DiffEqJump.jl with the
Catalyst.jl interface which is encouraging, see bench/pkg/catalyst.jl.

The two Cosmos tests checks the statistical correctness of estimated
distance value for R1,R2,R3,R5 experiments. Also, they test that all
trajectories are accepted.

A bunch of errors were fixed in automata files (Cosmos .lha and julia
./automata files) and simulation function that introduced statistical
bias, i.e. approximated values that were closed but not in the
confidence interval. The general structure of simulation and was
reworked in order to suits well te behavior of Cosmos.

copyto! is implemented for LHA states.

Automaton G works almost well, a bias in the distance is identified
compared to Cosmos when one of the model parameters is zero.

Implementation of volatile_simulate, which simulates SynchronizedModel
without saving values: it only returns the last LHA state of the
simulation.

Implementation of distributed computations of variable automata with
volatile_simulate.

Tests passed.

Fix about methods of SynchronizedTrajectory + tests.

Simulation for ParametricModel works.