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15aa08a3d1
* WindowStat error catching, which processes NaNs properly instead of erroring. This ought to resolve issue #7910. https://github.com/ray-project/ray/issues/7910
28 lines
827 B
Python
28 lines
827 B
Python
import numpy as np
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class WindowStat:
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def __init__(self, name, n):
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self.name = name
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self.items = [None] * n
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self.idx = 0
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self.count = 0
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def push(self, obj):
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self.items[self.idx] = obj
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self.idx += 1
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self.count += 1
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self.idx %= len(self.items)
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def stats(self):
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if not self.count:
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_quantiles = []
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else:
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_quantiles = np.nanpercentile(self.items[:self.count],
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[0, 10, 50, 90, 100]).tolist()
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return {
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self.name + "_count": int(self.count),
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self.name + "_mean": float(np.nanmean(self.items[:self.count])),
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self.name + "_std": float(np.nanstd(self.items[:self.count])),
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self.name + "_quantiles": _quantiles,
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}
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