Dj ,ddlZddlZddgZddZddZy)Nget_compatible_pyplot mpl_hist_argc<ddl}|j}|J|j||rltjj d|d|dt jn5|r3tjj d|dt jddlm}|S) aMake the backend of MPL compatible. In Travis Mac distributions, python is not installed as a framework. This means that using the TkAgg backend is the best solution (so it doesn't try to use the mac OS backend by default). Parameters ---------- backend : str, optional (default="TkAgg") The backend to default to. debug : bool, optional (default=True) Whether to log the existing backend to stderr. rNzCurrently using 'z' MPL backend, switching to 'z ' backendzUsing 'z ' MPL backend)pyplot) matplotlib get_backendusesysstderrwriteoslinesepr)backenddebugrexisting_backendplts ^C:\Crop_Prediction\Backend\crop-ai-system\venv\Lib\site-packages\pmdarima/compat/matplotlib.pyrrs"--/w  JJ   0'2::G H  ,bjj: ;) Jc8ddl}|jdk\rdnd}||iS)aXFind the appropriate `density` kwarg for our given matplotlib version. This will determine if we should use `normed` or `density`. Additionally, since this is a kwarg, the user can supply a value (True or False) that they would like in the output dictionary. Parameters ---------- value : bool, optional (default=True) The boolean value of density/normed Returns ------- density_kwarg : dict A dictionary containing the appropriate density kwarg for the installed matplotlib version, mapped to the provided or default value rNz2.1.0densitynormed)r __version__)valuer density_kwargs rrr7s*&!+!7!77!BI  5 !!r)NT)T)r r __all__rrrrrs'   $N"r