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0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 0f0ff27e55a3 | # Stubs for scales.samplestats (Python 3)
#
# NOTE: This dynamically typed stub was automatically generated by stubgen.
from .clock import getClock
from typing import Any
class Sampler:
min: Any = ...
max: Any = ...
def __init__(self) -> None: ...
def __len__(self): ...
def samples(self): ...
def update(self, value: Any) -> None: ...
@property
def mean(self): ...
@property
def stddev(self): ...
def percentiles(self, percentiles: Any): ...
class ExponentiallyDecayingReservoir(Sampler):
DEFAULT_SIZE: int = ...
DEFAULT_ALPHA: float = ...
DEFAULT_RESCALE_THRESHOLD: int = ...
values: Any = ...
alpha: Any = ...
size: Any = ...
clock: Any = ...
rescale_threshold: Any = ...
count: int = ...
startTime: Any = ...
nextScaleTime: Any = ...
def __init__(self, size: Any = ..., alpha: Any = ..., rescale_threshold: Any = ..., clock: Any = ...) -> None: ...
def __len__(self): ...
def clear(self) -> None: ...
def update(self, value: Any) -> None: ...
def samples(self): ...
class UniformSample(Sampler):
sample: Any = ...
count: int = ...
def __init__(self) -> None: ...
def clear(self) -> None: ...
def __len__(self): ...
def update(self, value: Any) -> None: ...
def __iter__(self): ...
def samples(self): ...
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