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Large focus on the speed of the LO code
- faster method to evaluate the matrix-element (thanks to a new optimization layer)
- faster integration method for VBF processes

      Kiran+OM: Optimization of the matrix-element at run-time using recycling helicity method
                - This fasten LO computation by a factor around 2
                - This can be turned off via the command "output PATH --hel_recycling=False"
      OM: Various optimization fot T-channel integration
          - use different ordering for T-channel. Four different ordering have been implemented
            at generation time, the code decides which ordering to use channel-per-channel.
            This can be turned off via the command "output PATH --t_strategy=2"
          - increase number of maximum iteration for double or more T-channel
          - implement an alternative to the standard multi-channel.
             instead of using the amplitude square it use the product of the denominator
             (the default strategy use depends of the process)
          - speed-up for VBF type of process are often around 100 times faster
          - This fixes a lot of issue for processes failing to generate the targetted number of events.
      OM: Better version of the color-computation (but this leads to only modest gain but for very complex processes.\
)
          This optimizations leads to a longer generation time of the code (only for complex processes).
          This can be turned off via "output PATH --jamp_optim=False"
      OM: New parameter in the run_card:
          - sde_strategy: allows to change the default multi-channel strategy
          - a new phase-space optimization parameter are now easily availabe via the command "update ps_optim"
      OM: New global parameter "auto_convert_model"
          if set on True (set auto_convert_model T or via input/mg5_configuration.txt)
          all model crashing due to a python3 compatibility issue of the UFO model will be automatically converted
          to a python3 compatible model.