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Add check_data_availability to forecasting CLI command (#1744)

* style: no need for noqa

Signed-off-by: F.N. Claessen <felix@seita.nl>

* docs: unindent comment block to match corresponding line

Signed-off-by: F.N. Claessen <felix@seita.nl>

* fix: only set lags_future_covariates when desired

Signed-off-by: F.N. Claessen <felix@seita.nl>

* feat: check whether the correct future regressor is referenced in the data source attributes

Signed-off-by: F.N. Claessen <felix@seita.nl>

* feat: prepare test for multiple future regressors

Signed-off-by: F.N. Claessen <felix@seita.nl>

* chore: remove redundant if statements

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* chore: remove unused if statement and combine docstring.

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* refactor: remove self.regressors from PredictPipeline class

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* refactor: remove self.regressors from TrainPipeline class

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* refactor: remove self.regressors from BasePipeline

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* docs: update past and future regressors params description in docstring

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* chore: remove regressors from BasePipeline __init__ method

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* refactor:  Extend time range only future regressors

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* feat: use only past_regressors for indexing X_past_regressors_df

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* refactor: use self.past_regressors to fill missing past_covariates data instead of self.regressors

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* feat: pass regressors as empty list if we are using au... (continued)

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