Source code for pyecsca.sca.stacked_traces.stacked_traces
from __future__ import annotations
import numpy as np
from public import public
from typing import Any, Mapping, Sequence
from ...sca.trace_set.base import TraceSet
[docs]
@public
class StackedTraces:
"""Samples of multiple traces and metadata"""
meta: Mapping[str, Any]
samples: np.ndarray
# TODO: Split metadata into common and per-trace
def __init__(
self, samples: np.ndarray,
meta: Mapping[str, Any] | None = None) -> None:
if meta is None:
meta = {}
self.meta = meta
self.samples = samples
[docs]
@classmethod
def fromarray(cls, traces: Sequence[np.ndarray],
meta: Mapping[str, Any] | None = None) -> 'StackedTraces':
if meta is None:
meta = {}
ts = list(traces)
min_samples = min(map(len, ts))
for i, t in enumerate(ts):
ts[i] = t[:min_samples]
stacked = np.stack(ts)
return cls(stacked, meta)
[docs]
@classmethod
def fromtraceset(cls, traceset: TraceSet) -> 'StackedTraces':
traces = [t.samples for t in traceset]
return cls.fromarray(traces)
def __len__(self):
return self.samples.shape[0]
def __getitem__(self, index):
return self.samples[index]
def __iter__(self):
yield from self.samples