DjTddlmZddlmZddlZdgZejZdZ dZ dZ y))Iterable)VersionN bind_df_modelct|ds[|j|jz|jz|jz|j z|j z}t|d|yy)aKSet model degrees of freedom. Older versions of statsmodels don't handle this issue. Sets the model degrees of freedom in place if not already present. Parameters ---------- model_fit : ARMA, ARIMA or SARIMAX The fitted model. arima_results : ModelResultsWrapper The results wrapper. df_modelN)hasattrk_exogk_trendk_ark_ma k_seasonal_ar k_seasonal_masetattr) model_fit arima_resultsrs _C:\Crop_Prediction\Backend\crop-ai-system\venv\Lib\site-packages\pmdarima/compat/statsmodels.pyrrsk =* -##i&7&77 NN&^^,  # #$&/&=&=>  z84 .ct|dtrt|dts|St|dddk(r |ddk(rd}|S)a-Check the seasonal order Statsmodels 0.11.0 introduced a check for seasonal order == 1 that can raise a ValueError, but some of our old defaults allow for m == 1 in an otherwise null seasonal order. Parameters ---------- order : tuple The existing seasonal order rN)rrrr) isinstancerstrsum)orders rcheck_seasonal_orderr%sL %(H%jq3.G uRay>Q 59> E rcLttjtdk\S)Nz0.13.0)rsm __version__rr _use_sm13r!@s 2>> "gh&7 77r) collections.abcrpackaging.versionr statsmodelsr__all__r _sm_versionrrr!r rrr's6 %% nn 5*68r