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import numpy as np
from public import public
from typing import Callable, Optional
from .trace import Trace, CombinedTrace
@public
def average(*traces: Trace) -> Optional[CombinedTrace]:
if not traces:
return None
if len(traces) == 1:
return CombinedTrace(None, None, traces[0].samples.copy(), parents=traces)
dtype = traces[0].samples.dtype
result_samples = np.mean(np.array([trace.samples for trace in traces]), axis=0).astype(dtype)
return CombinedTrace(None, None, result_samples, parents=traces)
@public
def conditional_average(*traces: Trace, condition: Callable[[Trace], bool]) -> Optional[CombinedTrace]:
return average(*filter(condition, traces))
@public
def standard_deviation(*traces: Trace) -> Optional[CombinedTrace]:
if not traces:
return None
dtype = traces[0].samples.dtype
result_samples = np.std(np.array([trace.samples for trace in traces]), axis=0).astype(dtype)
return CombinedTrace(None, None, result_samples, parents=traces)
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