o ¢Äi¬ã@svddlZddlmZddlZddlmZddededefdd „Z dde d ed efdd„Z dde d efdd„Z dS)éN)Útqdm)ÚListé2ÚscoresÚ thresholdÚgrouping_windowc Csšt |¡|k}d dd„|Dƒ¡}tt d|¡ƒ}|}|D]+}|| ¡dkrHdgtt|ƒ| ¡|ƒ|| ¡| ¡tt|ƒ| ¡|ƒ…<qt |ƒS)a Counts the number of false-positives based on a list of scores and a specified threshold. Args: scores (List): A list of predicted scores, between 0 and 1 threshold (float): The threshold to use to determine false-positive predictions grouping_window (int: The size (in number of frames) for grouping scores above the threshold into a single false positive for counting Returns: int: The number of false positive predictions in the list of scores ÚcSsg|]}|rdnd‘qS)Ú1Ú0©)Ú.0Úir r úN/home/kim/smarthome/.venv/lib/python3.10/site-packages/openwakeword/metrics.pyÚ &sz'get_false_positives..Z01r) ÚnpÚarrayÚjoinÚlistÚreÚfinditerÚendÚminÚlenÚsum)rrrZbin_predZbin_pred_stringZ transitionsÚnÚtr r rÚget_false_positivess B€réç{®Gáz´?Ún_pointsÚtime_per_predictioncKsT|t|ƒd}g}ttjdd|dƒD]}t|fd|i|¤Ž}| ||¡q|S)a³ Generates the false positive rate (fpr) per hour for the given predictions over a range of score thresholds. Assumes that all predictions should be less than the threshold, else the prediction is a false positive. Args: scores (List): A list of predicted scores, between 0 and 1 n_points (int): The number of points to use when calculating false positive rates time_per_prediction (float): The time (in seconds) that each prediction represents kwargs (dict): Any other keyword arguments to pass to the `get_false_positives` function Returns: list: A list of false positive rates per hour at different score threshold levels iç{®Gáz„?ç®Gáz®ï?©Únumr)rrrÚlinspacerÚappend)rrr ÚkwargsZ total_hoursZfprsrZfprr r rÚgenerate_roc_curve_fprs0s r(cCs<g}ttjdd|dƒD]}| t||kƒt|ƒ¡q |S)a[ Generates the true positive rate (true accept rate) for the given predictions over a range score thresholds. Assumes that all predictions are supposed to be equal to 1. Args: scores (list): A list of scores for each prediction Returns: list: A list of true positive rates at different score threshold levels r!r"r#)rrr%r&rr)rrZtprsrr r rÚgenerate_roc_curve_tprsQsr))r)rr)r) rrÚnumpyrÚtypingrÚfloatÚintrrr(r)r r r rÚs(  ýÿþ ý#þÿþ