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Allow forecasting with exogenous variables (pymc-devs#372)
* Allow forcasting with exogenous variables * Improve scenario forecasting test * Wrap user scenarios in dictionary * Better handling of start date * Add `append_x0` argument to `LinearGuassianStateSpace` * Respect `periods` exactly when provided * Improve forecast-related tests * Expand test coverage of forecast option combinations * Make IRF robust to degenerate covariance matrices Scale rotated covariance matrices to have unit std * VARMAX parameters had wrong shape * Solve instead of inverse in kalman step * Check correct regex in validation test * Another regex fix * Remove shutil warning filter
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