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

[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] 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 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.

[snow projection] improve drastically the loading time for the abstract_adamont_study.py based on a simple conversion to numpy array.
 remove fit_method from plot_map argument.

[contrasting v2] fix one condition. keep all one fold fit, with at least one valid (and not one non stationary model). change xlabel for in altitude_group.py

[contrasting v2] improve a lot of all my plots (i save both a transparent version in svg & a non transparent in png).

[contrasting v2] download_adamont.py all studies. Lower a bit the text for some massif. files are by default generated in svg from now on.
change group -> range. remove the elevation 3900 from the high-elevation range.

[contrasting] improve plots. last version of the plot for the v1. improve the size of the label. improve also the process to get the legend for coherence plot

[contrasting] improve plots. add comma to the name of the models. change altitude to elevation in several plots.