[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.

[COORDINATES] add some normalization class for the coordinate, add a normalization function for the observations.

[COORDINATES] add one test to test_transformation. add some copying during coordinate transformation.

[DATASET] add creation of spatio temporal dataset from simulation. add test for non stationarity of max stable

[TEST][DATASET] major fix for abstract_dataset for the function transform_maxima in the spatio temporal case