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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:

def _cl_int_from_learner(cls, learn:Learner, ds_type:DatasetType=DatasetType.Valid, tta=False):
    "Create an instance of `ClassificationInterpretation`. `tta` indicates if we want to use Test Time Augmentation."
    preds = learn.TTA(ds_type=ds_type, with_loss=True) if tta else learn.get_preds(ds_type=ds_type, with_loss=True)
    return cls(learn, *preds, ds_type=ds_type)