Feat/model use static cov

[dennisbader]

Summary

• adds option whether model should use static covariates in case any are given to fit/predict (use_static_covariates)
• enforces identical static covariates shape across train and predict series in case model uses static covariates.
• moves add_static_covariates out of RegressionModel and into darts.utils.data.tabularization
• simplify some of the static covariates tests as we now enforce same dimensionality across all series

[codecov-commenter]

Codecov Report

Patch coverage: 100.00% and project coverage change: -0.10 ⚠️

Comparison is base (c497a03) 94.15% compared to head (1bbde1c) 94.06%.

❗ Current head 1bbde1c differs from pull request most recent head 61fdf42. Consider uploading reports for the commit 61fdf42 to get more accurate results

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Additional details and impacted files

@@            Coverage Diff             @@
##           master    #1700      +/-   ##
==========================================
- Coverage   94.15%   94.06%   -0.10%     
==========================================
  Files         125      125              
  Lines       11470    11446      -24     
==========================================
- Hits        10800    10767      -33     
- Misses        670      679       +9     

Impacted Files	Coverage Δ
darts/models/forecasting/block_rnn_model.py	98.14% <ø> (-0.13%)	⬇️
darts/models/forecasting/catboost_model.py	100.00% <ø> (ø)
darts/models/forecasting/dlinear.py	100.00% <ø> (ø)
darts/models/forecasting/lgbm.py	100.00% <ø> (ø)
...arts/models/forecasting/linear_regression_model.py	94.54% <ø> (ø)
darts/models/forecasting/nbeats.py	98.07% <ø> (-0.04%)	⬇️
darts/models/forecasting/nhits.py	99.25% <ø> (-0.03%)	⬇️
darts/models/forecasting/random_forest.py	100.00% <ø> (ø)
darts/models/forecasting/rnn_model.py	97.61% <ø> (-0.09%)	⬇️
darts/models/forecasting/tbats_model.py	86.02% <ø> (ø)
... and 10 more

... and 6 files with indirect coverage changes

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