from __future__ import annotations

from typing_extensions import deprecated

from sentence_transformers import InputExample
from sentence_transformers.cross_encoder.evaluation.classification import CrossEncoderClassificationEvaluator
from sentence_transformers.cross_encoder.evaluation.correlation import CrossEncoderCorrelationEvaluator
from sentence_transformers.cross_encoder.evaluation.reranking import CrossEncoderRerankingEvaluator


@deprecated(
    "This evaluator has been deprecated in favor of the more general CrossEncoderClassificationEvaluator. "
    "Please use CrossEncoderClassificationEvaluator instead, which supports both binary and multi-class "
    "evaluation. It accepts approximately the same inputs as this evaluator."
)
class CEBinaryAccuracyEvaluator(CrossEncoderClassificationEvaluator):
    """
    This evaluator has been deprecated in favor of the more general CrossEncoderClassificationEvaluator.
    """

    @classmethod
    def from_input_examples(cls, examples: list[InputExample], **kwargs):
        sentence_pairs = []
        labels = []

        for example in examples:
            sentence_pairs.append(example.texts)
            labels.append(example.label)
        return cls(sentence_pairs, labels, **kwargs)


@deprecated(
    "This evaluator has been deprecated in favor of the more general CrossEncoderClassificationEvaluator. "
    "Please use CrossEncoderClassificationEvaluator instead, which supports both binary and multi-class "
    "evaluation. It accepts approximately the same inputs as this evaluator."
)
class CEBinaryClassificationEvaluator(CrossEncoderClassificationEvaluator):
    """
    This evaluator has been deprecated in favor of the more general CrossEncoderClassificationEvaluator.
    """

    @classmethod
    def from_input_examples(cls, examples: list[InputExample], **kwargs):
        sentence_pairs = []
        labels = []

        for example in examples:
            sentence_pairs.append(example.texts)
            labels.append(example.label)
        return cls(sentence_pairs, labels, **kwargs)


@deprecated(
    "This evaluator has been deprecated in favor of the more general CrossEncoderClassificationEvaluator. "
    "Please use CrossEncoderClassificationEvaluator instead, which supports both binary and multi-class "
    "evaluation. It accepts approximately the same inputs as this evaluator."
)
class CEF1Evaluator(CrossEncoderClassificationEvaluator):
    """
    This evaluator has been deprecated in favor of the more general CrossEncoderClassificationEvaluator.
    """

    @classmethod
    def from_input_examples(cls, examples: list[InputExample], **kwargs):
        sentence_pairs = []
        labels = []

        for example in examples:
            sentence_pairs.append(example.texts)
            labels.append(example.label)
        return cls(sentence_pairs, labels, **kwargs)


@deprecated(
    "This evaluator has been deprecated in favor of the more general CrossEncoderClassificationEvaluator. "
    "Please use CrossEncoderClassificationEvaluator instead, which supports both binary and multi-class "
    "evaluation. It accepts approximately the same inputs as this evaluator."
)
class CESoftmaxAccuracyEvaluator(CrossEncoderClassificationEvaluator):
    """
    This evaluator has been deprecated in favor of the more general CrossEncoderClassificationEvaluator.
    """

    @classmethod
    def from_input_examples(cls, examples: list[InputExample], **kwargs):
        sentence_pairs = []
        labels = []

        for example in examples:
            sentence_pairs.append(example.texts)
            labels.append(example.label)
        return cls(sentence_pairs, labels, **kwargs)


@deprecated(
    "The CECorrelationEvaluator has been renamed to CrossEncoderCorrelationEvaluator. "
    "Please use CrossEncoderCorrelationEvaluator instead."
)
class CECorrelationEvaluator(CrossEncoderCorrelationEvaluator):
    pass


@deprecated(
    "The CERerankingEvaluator has been renamed to CrossEncoderCorrelationEvaluator. "
    "Please use CrossEncoderCorrelationEvaluator instead."
)
class CERerankingEvaluator(CrossEncoderRerankingEvaluator):
    pass