[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] 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).

[projections] fix and refactor temperature_to_year.py. Focus on the median merge function, rather than the mean merge function.

[projections] add visualizer_for_sensitivity.py based on visualizer_for_projection_ensemble.py. add temperature_to_year.py file.
Fix max abs recurrent issue (when it was equal to zero). add one test for one fold fit, that was that due to a scale parameter that was close to zero, and was causing instabilities in the nllh value. This is fixed by changing the check for implausible in one fold fit, and by saying that if the scale parameter is close to zero then the parameter is undefined.

[projections] add mean merge function for the ensemble. fix max abs for median/mean visualizer. Fix OneFoldFitMerge that was given empty list as input.

[projections] add box plot without significance. refactor a bit the str for the plots. add inquiry for the pattern 85 that we obtain for one couple

[projections] fix max abs issue for the plots. add temperature as temporal covariate for the visualizer (and for the plot manage the covariate before and the covariate after)

[projections] fix np.nan issue, by removing models with undedefined parameters for the coordinate of interest.

Try to reuse the previous code as much as possible.

change alpha confidence uncertainty to 80% uncertainty interval when i run the main code.
create 3 qqplots overlaid, one for each altitude.
remove the exclusion of some bootstrap samples (in particular we remove the threshold equal to 2000)

[contrasting] add gap between study. and add safran 2019 from max files. add main_comparison_histo.py

[contrasting] add plot to compare the size of confidence interval between the pointwise approach and the piecewise elevational-temporal approach. bootstrap level is set to 100

[contrasting] implement bootstrap confidence interval both for pointwise stationary models and for elevation-temporal models. accelerate bootstraping with multiprocessing & storing of fitted functions only (storing the estimator was impossible).

[contrasting] change reference altititudes. change cmap for the plots. change axis for the preliminary plots.

[contrasted] add massif_name_to_annual_total to abstract_study. add plot that compare side by side the total snowfall & maxima of snowfall.