[Confidence Interval] use fix r.ci.fevd.mle_fixed for the Gumbel case in the Python code. fix the R code one more time for the gradient

[PAPER 1] add gumbel type for mle fit. add study_visualizer_for_shape_repartition both for gumbel VS stationary and stationary VS non-stationary

[PAPER 1]  add dpi=1000 to every plot from the paper for image quality. add some fix ylim when plotting return level for the Maurienne

[PAPER 1] improve uncertainty plot. fix eurocode value for the histogram. modify number of bayesian iterations to 20000 for uncertainty plot

[PAPER 1] fix gelman convergence score formula, take the variance instead of the std. improve bayesian display

[PAPER 1] add params_start_fit_bayesian for gelman convergence. add some random init param for the beginning of the MCMC chain.

[PAPER 1] refactor folder names in the paper snow load folder. add mani gelman convergence test. add the possibility to change the number of iterations for the bayesian fevd estimation

[PAPER 1] fix quantile for snow load in the case where psnow < 1 (i.e. for the mixed distribution case)

[PAPER 1] fix the code for taking the argmax of some value. add some new classes for making comparison between various snow variables

[PAPER 1] taking into account psnow when computing TDRL and also when computing return level uncertainties

[PAPER 1] refactor folder. enable in a single script to evaluate trends and return level uncertainty

[TREND ANALYSIS] put MLE extreme package method as default mle method for trend analysis. add aic score in trend analysis. start study_visualizer for non stationary trends.

[Thesis committee drawing] improve GEV non stationary plots.  rename ci_delta to ci_mle. catch some ci runtime exceptions. remove hatch/stripes drawing temporarily. fix unit for snow load. add new crocus classes & variable classes for snow load. modify conversion factor only for the new plots.