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#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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from torchmetrics import Accuracy, AveragePrecision, F1Score, MatthewsCorrCoef, PearsonCorrCoef, SpearmanCorrCoef
from torchmetrics.text import SacreBLEUScore
from torchmetrics.text.rouge import ROUGEScore
from torchmetrics.text.wer import WordErrorRate

from nemo.collections.common.metrics.classification_accuracy import ExactStringMatchMetric, TokenF1Score

__all__ = ['MetricStringToTorchMetric', 'TextMetricsSet', 'ClassificationMetricsSet']

# Dictionary that maps a metric string name to its corresponding torchmetric class.

MetricStringToTorchMetric = {
    'accuracy': Accuracy,
    'average_precision': AveragePrecision,
    'f1': F1Score,
    'token_f1': TokenF1Score,
    'pearson_corr_coef': PearsonCorrCoef,
    'spearman_corr_coef': SpearmanCorrCoef,
    'matthews_corr_coef': MatthewsCorrCoef,
    'exact_string_match': ExactStringMatchMetric,
    'rouge': ROUGEScore,
    'wer': WordErrorRate,
    'bleu': SacreBLEUScore,
}

TextMetricsSet = set(['rouge', 'wer', 'bleu'])

ClassificationMetricsSet = set(['accuracy', 'average_precision', 'f1', 'exact_string_match'])