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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def recall_at_precision(y_true, y_pred, precision):
 """Recall at a certain precision threshold Args: y_true: true labels y_pred: predicted labels precision: resired precision level at which where to compute the recall """

    y_true, y_pred = _mask_value_nan(y_true, y_pred)
    precision, recall, _ = skm.precision_recall_curve(y_true, y_pred)
    return recall[np.searchsorted(precision - precision, 0)]