Ë ³«ŽjšãóN—ddlZddlmZddlmZGd„dej «Zy)éN)ÚList)Ú dataset_itemcór—eZdZdZej deejdeejfd„«Z y)ÚBaseDatasetSamplera„ Defines the BaseDatasetSampler for sampling dataset items. This is an abstract base class that provides the definition for dataset sampling. It requires implementation of the `sample` method in subclasses, which specifies the sampling logic tailored to specific needs. Methods in this class are enforced to be redefined in any concrete implementation. Ú data_itemÚreturncó—y)aé Samples and filters a list of dataset items according to a specific implementation. Args: data_item (List[dataset_item.DatasetItem]): A list of DatasetItem objects to be sampled and filtered. Returns: List[dataset_item.DatasetItem]: A list of DatasetItem objects resulting from the sampling process. Raises: NotImplementedError: If the method is not implemented in a subclass. N©)Úselfrs ú†/Users/manta/Documents/Projects/TheRoad-I1/backend/.venv/lib/python3.12/site-packages/opik/evaluation/samplers/base_dataset_sampler.pyÚsamplezBaseDatasetSampler.samples€ð$ óN) Ú__name__Ú __module__Ú __qualname__Ú__doc__ÚabcÚabstractmethodrrÚ DatasetItemr r rr rrsG„ñ ð ×Ñð ؘl×6Ñ6Ñ7ð à ˆl×&Ñ&Ñ 'ò óñ rr)rÚtypingrÚopik.api_objects.datasetrÚABCrr rr Úrs ðÛ Ýõ2ô  ˜Ÿ™õ  r