[quantile regression project]  fix bugs in daily_observations.py for the creation of the coordinates for the daily fit. some fix to prepare for some potential non stationary exponential model one day

[quantile regression project] add test exp simulations (stationary and non stationary) for models on annual maxima. Prepare the code to fit with non stationary exponential models

[quantile regression project] add annual maxima osbervation from daily exponential. add sammple_r_function as argument to rmargin_from_nb_obs. add abstract extreme params

[quantile regression project] add annual maxima osbervation from daily exponential. add sammple_r_function as argument to rmargin_from_nb_obs

[contrasting project] add global mean temperature data, and add test for adding these covariate to the coordinates.

[contrasting project] fix memory issue that was happening while loading many precipitation studies. issue #300

[quantile regression project] refactor imports for quantile estimators. two fix: nb_obs=1 in GevSimulation.py and df_merged correspond to df_coordinates from now on (such as it takes into account the transformation if there is one)

[CONFIDENCE INTERVAL] check that ci code return the same interval and mean posterior for the return level as my code with coordinates from 0 to 49. and also with transformed coordinates

[EUROCODE][DRAWING PER REGION] modify test region eurocode. add test_ gev temporal bayesian. add stationary version for the Bayesian. refactor utils at the root, to root_uils to avoid weird import issues.

[EXTREME ESTIMATOR] refactor margin_fits folder. extreme estimator folder. and extreme_models folder

[EXTREME ESTIMATOR][MAX STABLE] add test that check the possibility to fit max stable with 3D coordinates. This is working with all the max stable structure except Smith structure (see max_stable_fit.R for an example of the returned error)

[EXTREME ESTIMATOR][MAX STABLE] add argument use_rmaxstab_with_2_coordinates to rmaxstab that makes it possible to sample dataset with 3D coordinates

[METEO FRANCE DATA][STATIONS] add final version of the first analysis of Reanalysis versus station measurements results

[COORDINATE] refactor starting year & df_temporal_coordinates. to normalize the same way any temporal covariate. So that each fit has the same type of normalized data as input. add multiple transformation.

[SCM][HYPERCUBE] normalize gev trend_strength with distance between years. update test to check this distance.

[SCM][NON STATIONARY TREND] modify some display parameter. add pre loaded LATITUDE & LONGITUDE to scm_constants file. remove massif file.