[projection snowfall] add evgam call for abstract_temporal_linear_margin_model.py. account for log_scale in the margin_function. rename get_coord_df to get_r_dataframe_from_python_dataframe. create evgam_fixed.R for debugging

[projection snowfall] remove test with respect to fevd bayesian, due to differences with the test. i do not use it, so it does not matter. But maybe with the change of R version, the code changed. still try to install evgam

[projection snowfall] refactor first_year and last_year in OneFoldFit. and apply the code to check the difference in spatial patterns between safran 2020 reanalysis and ADAMont v2

[projection snowfall] add main_sensitivity_one_altitude_range.py. add detail plot for each massif for the return level

[projection swe] modify interval (and data constraint) for temperature sensitivity. add invidual plots in sensitivity. add changes plot in sensitivity.

[projection swe] add crpss and train train test. improve the plot. fix bug for selection of plausible models.

[projection swe] add model_as_truth.py. add default weight solver and a file for the method with bootstrap

[projection snowfall] add massif_names for cache computation in abstract_study.py. implement bootstrap indicator. add bootstrap return level that are physically plausible

[projection snowfall] add preliminary analysis for the work on model with effect related to the GCM or RCM type.

[projection snowfall] improve one_fold_fit_merge.py. improve interval for the sensitivity plot. Add is_temperature_interval and is_shift_interval to define the intervals.

[refactor] fix issue. the temporal covariate is the the anomaly of temperature smoothed with a spline

[refactor] update main_season_repartition_of_maxima.py to compare swe results, for safran 2019 and adamont v2, to show the limit of their indicator.

[refactor] update main_season_repartition_of_maxima.py to compare swe results, for safran 2019 and adamont v2, to show the limit of their indicator.

[refactor] rename folders for one/two fold fit. move the code for the anomaly into temperature_covariate.py

[refactor] move altitudes_studies.py. create trend test folder inside extreme_trend. deactivate one test for param_function that was crashing globally for unknown reason (but locally the test is working).