[projections] in an adamont_studies.py study can have different year_min and year max. Refactor adamont_gcm_rcm_couples.py. Add rcp_extended 2.6 et 4.5. Fix erroneous data for some couple for the scenario 8.5. Add main_data.py.

[projections] add test_massif_names_adamont_v2 to check that all massifs are the same than for SAFRAN 2020.
add assertion to check to the year_min and year_max for each scenario.
compute bias in the mean maxima at the masssif level

generalize the usage of "get_gcm_rcm_couple_adamont_to_full_name"

[contrasting] add gap between study. and add safran 2019 from max files. add main_comparison_histo.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] add general test for test_gev_spatio_temporal_polynomial_extremes_mle.py. refactor a bit

[contrasting]  fix test_gev_spatio_temporal_polynomial_extremes_mle.py for computing the confidence interval. improve coherence curve. remove sensitivity checks in one fold fit. add significant percentages for histograms of models selected. deactivate some tests for speed purpose

[contrasting] add histogram for model repartition & evolution of trends. improve preliminary_analysis.py

[contrasting] improve pointwise_gev_study_visualizer.py with a linear regression against the altitude. modify the _maxima_gev depending on the fit method

[exceeding] fix code to create a qqplot. (sort only once the empirical quantiles have been computed). Create ALTITUDE_TO_GREY_MASSIF in utils to ensure that the exceedance plots are always done with the same massifs everywhere (and these massifs are only the one that are not grey for the non-stationary gev & gumbel)

[contrasting] add quadratic & cross terms Gumbel altitudinal models & fix a recurrent bug that happenning when checking the AIC value

[contrasting] add Gumbel altitudinal models. But so far only the first three models are passing tests (models with quadratic & cross terms are crashing)

This includes models that combine some quadratic aspect & a cross term.
Remove random test

[contrasting] aic and bic test ok for my first model combining a linearity in 2 different coordinates.