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from collections import defaultdict
import numpy as np
class MetricsAccumulator:
def __init__(self) -> None:
self.accumulator = defaultdict(lambda: [])
def update_metric(self, metric_name, metric_value):
self.accumulator[metric_name].append(metric_value)
def print_average_metric(self):
for k, v in self.accumulator.items():
average_v = np.array(v).mean()
print(f"{k} - {average_v:.2f}")
self.__init__()
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