Dj7 DddlmZddlZddlmZgdZdZdZdZdZ y) )VersionN)NotFittedError)check_is_fittedif_delegate_has_method safe_indexingct|tr|g}t|ds td|D]}t||syt d)a3Ensure the model has been fitted Typically called at the beginning of an operation on a model that requires having been fit. Raises a ``NotFittedError`` if the model has not been fit. This is an adaptation of scikit-learn's ``check_is_fitted``, which has been changed recently in a way that is no longer compatible with our package. Parameters ---------- estimator : estimator instance, The estimator that will be checked to see if it is fitted. attributes : str or iterable The attributes to check for __iter__z'attributes must be a string or iterableNzModel has not been fit!) isinstancestrhasattr TypeErrorr) estimator attributesattrs [C:\Crop_Prediction\Backend\crop-ai-system\venv\Lib\site-packages\pmdarima/compat/sklearn.pyrrsU$*c" \ :z *ABB 9d #  2 33ct|dr|j|St|dr|jdk(r ||ddfS||S)z:Slice an array or dataframe. This is deprecated in sklearnilocndimN)r rr)Xindicess rrr.sHq&vvgq&affk!} W:rcfd}|S)aChecks if the model has a given attribute. Meant to be used along with `sklearn.utils.metaestimators.available_if` Parameters ---------- attr : str The attribute to check the calling object for Returns ------- fn : callable A function that will either raise an `AttributeError` if the attribute does not exist, or True if it does. ct|y)NT)getattr)selfrs rcheckz_estimator_has..checkJsdr)rrs` r_estimator_hasr:s  Lrcttjtdkrddlm}||Sddlm}|t |S)aCompat method to replace `sklearn.utils.metaestimators.if_delegate_has` Older versions (< 1.0.0) of sklearn support it, but newer versions use `available_if` instead. References ---------- .. [1] https://git.io/JzKiv .. [2] https://git.io/JzKiJ z1.0.0r)r) available_if)rsklearn __version__sklearn.utils.metaestimatorsrr!r)rrr!s rrrRs=w""#gg&66G%d++=N4011r) packaging.versionrr"sklearn.exceptionsr__all__rrrrrrrr(s+ &- 48 02r