Source code for gptcache.similarity_evaluation.exact_match

from typing import Tuple, Dict, Any

from gptcache.similarity_evaluation.similarity_evaluation import SimilarityEvaluation

[docs]class ExactMatchEvaluation(SimilarityEvaluation): """Using exact metric to evaluate sentences pair similarity. This evaluator is used to directly compare two `question` from text. If every single character in two questions can match, then this evaluator will return 1 else 0. Example: .. code-block:: python from gptcache.similarity_evaluation import ExactMatchEvaluation evaluation = ExactMatchEvaluation() score = evaluation.evaluation( { "question": "What is the color of sky?" }, { "question": "What is the color of sky?" } ) """ def __init__(self): pass
[docs] def evaluation( self, src_dict: Dict[str, Any], cache_dict: Dict[str, Any], **_ ) -> float: """Evaluate the similarity score of pair. :param src_dict: the query dictionary to evaluate with cache_dict. :type src_dict: Dict :param cache_dict: the cache dictionary. :type cache_dict: Dict :return: evaluation score. """ return 1 if cache_dict["question"] == src_dict["question"] else 0
[docs] def range(self) -> Tuple[float, float]: """Range of similarity score. :return: minimum and maximum of similarity score. """ return 0, 1