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from __future__ import annotations
def inv_metric_cmp_fn(current_metric: float, prev_best: float) -> bool:
"""
This inverts comparison for those metrics which reduce like loss values, such that the lower one is better.
Args:
current_metric: metric value of current round computation.
prev_best: the best metric value of previous rounds to compare with.
"""
return current_metric < prev_best
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