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.

automata and proba moels are differents. This bug was introduced after
we change the structure of automata in order to better distributed
programming.
It leads to a restructuration of automata. In fine, the structure is
more stable and consistent. It is possible it is more computationally
efficient, but for now it is not well tested.

2) Creation of functions that collects data along with a timeline
over a trajectory + unit test vectorize.

3) Very small fix in plots and abc smc.

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.

now the package has a better structure for distributed simulations by better definition of functions over workers + test

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.

Fix about behavior of automata when the initial state is absorbing or
the parameters are equal to zero.

Add of supplementary unit tests.

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

simulation tests for sir_tauleap and poisson.

to define CTMC with the biochemical network.

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.

R1,R2,R3.

Fix about methods of SynchronizedTrajectory + tests.

Simulation for ParametricModel works.

efficient.

First bricks of the automaton_abc algorithm.

slight improvement in allocation and time in benchmark but too small.

small.

Fix of a misbehaviour of isbounded() for trajectories.

Add several convenient methods for parameters of model.

Next step: implementation of simulate with resize!.

order to replace vcat by push!.

The benchmarks are at least equal, and better when the buffer size is
small. However, no significative difference of performance with adequate
buffer size.

My opinion the gain can be seen when simulations are going to be very
long with more complicated models than we have implemented for now.

All tests passed.

Automaton G is implemented and runs OK. Not tested with Cosmos call.

The next step of development is the restruction of data collection for
trajectories.

From now on: Trajectory.values::Matrix{Float64}, it will be
Trajectory.values::Vector{Vector{Float64}}.

According to small performance tests I've made, it will increase the
performance of the package.