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from collections import namedtuple
import numpy as np
import pytest
from pyecsca.sca import (
Trace,
CombinedTrace,
average,
conditional_average,
standard_deviation,
variance,
average_and_variance,
add,
subtract,
)
@pytest.fixture()
def data():
Data = namedtuple("Data", ["a", "b", "c"])
return Data(a=Trace(np.array([20, 80], dtype=np.dtype("i1")), {"data": b"\xff"}),
b=Trace(np.array([30, 42], dtype=np.dtype("i1")), {"data": b"\xff"}),
c=Trace(np.array([78, 56], dtype=np.dtype("i1")), {"data": b"\x00"}))
def test_average(data):
with pytest.raises(ValueError):
average()
result = average(data.a, data.b)
assert result is not None
assert isinstance(result, CombinedTrace)
assert len(result.samples) == 2
assert result.samples[0] == 25
assert result.samples[1] == 61
def test_conditional_average(data):
result = conditional_average(data.a, data.b, data.c, condition=lambda trace: trace.meta["data"] == b"\xff", )
assert isinstance(result, CombinedTrace)
assert len(result.samples) == 2
assert result.samples[0] == 25
assert result.samples[1] == 61
def test_standard_deviation(data):
with pytest.raises(ValueError):
standard_deviation()
result = standard_deviation(data.a, data.b)
assert isinstance(result, CombinedTrace)
assert len(result.samples) == 2
def test_variance(data):
with pytest.raises(ValueError):
variance()
result = variance(data.a, data.b)
assert isinstance(result, CombinedTrace)
assert len(result.samples) == 2
def test_average_and_variance(data):
with pytest.raises(ValueError):
average_and_variance()
mean, var = average_and_variance(data.a, data.b)
assert isinstance(mean, CombinedTrace)
assert isinstance(var, CombinedTrace)
assert len(mean.samples) == 2
assert len(var.samples) == 2
assert mean == average(data.a, data.b)
assert var == variance(data.a, data.b)
def test_add(data):
with pytest.raises(ValueError):
add()
result = add(data.a, data.b)
assert isinstance(result, CombinedTrace)
assert result.samples[0] == 50
assert result.samples[1] == 122
np.testing.assert_equal(data.a.samples, add(data.a).samples)
def test_subtract(data):
result = subtract(data.a, data.b)
assert isinstance(result, CombinedTrace)
assert result.samples[0] == -10
assert result.samples[1] == 38
|
