Change of signatures of unit functions update_state!, check_constraints
of the automata edges. Use getfield instead of getproperty.

Now the execution of statistical estimation of the distance G is of the
order of Cosmos !

Reimplementation of easy access / modifications of StateLHA fields for better performance. Tests passed

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.

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.

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.

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.