test/sca/test_sampling.py


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import numpy as np
from pyecsca.sca import (
    Trace,
    downsample_average,
    downsample_pick,
    downsample_decimate,
    downsample_max,
    downsample_min,
)


def test_downsample_average():
    trace = Trace(np.array([20, 40, 50, 50, 10], dtype=np.dtype("i1")))
    result = downsample_average(trace, 2)
    assert result is not None
    assert isinstance(result, Trace)
    assert len(result.samples) == 2
    assert result.samples[0] == 30
    assert result.samples[1] == 50


def test_downsample_pick():
    trace = Trace(np.array([20, 40, 50, 50, 10], dtype=np.dtype("i1")))
    result = downsample_pick(trace, 2)
    assert result is not None
    assert isinstance(result, Trace)
    assert len(result.samples) == 3
    assert result.samples[0] == 20
    assert result.samples[1] == 50


def test_downsample_max():
    trace = Trace(
        np.array(
            [
                20,
                30,
                55,
                18,
                15,
                10,
                35,
                24,
                21,
                15,
                10,
                8,
                -10,
                -5,
                -8,
                -12,
                -15,
                -18,
                -34,
                -21,
                -17,
                -10,
                -5,
                -12,
                -6,
                -2,
                4,
                8,
                21,
                28,
            ],
            dtype=np.dtype("i1"),
        )
    )
    result = downsample_max(trace, 2)
    assert result is not None
    assert isinstance(result, Trace)
    assert len(result.samples) == 15
    assert list(result) == [30, 55, 15, 35, 21, 10, -5, -8, -15, -21, -10, -5, -2, 8, 28]


def test_downsample_min():
    trace = Trace(
        np.array(
            [
                20,
                30,
                55,
                18,
                15,
                10,
                35,
                24,
                21,
                15,
                10,
                8,
                -10,
                -5,
                -8,
                -12,
                -15,
                -18,
                -34,
                -21,
                -17,
                -10,
                -5,
                -12,
                -6,
                -2,
                4,
                8,
                21,
                28,
            ],
            dtype=np.dtype("i1"),
        )
    )
    result = downsample_min(trace, 2)
    assert result is not None
    assert isinstance(result, Trace)
    assert len(result.samples) == 15
    assert list(result) == \
           [20, 18, 10, 24, 15, 8, -10, -12, -18, -34, -17, -12, -6, 4, 21]


def test_downsample_decimate(plot):
    trace = Trace(
        np.array(
            [
                20,
                30,
                55,
                18,
                15,
                10,
                35,
                24,
                21,
                15,
                10,
                8,
                -10,
                -5,
                -8,
                -12,
                -15,
                -18,
                -34,
                -21,
                -17,
                -10,
                -5,
                -12,
                -6,
                -2,
                4,
                8,
                21,
                28,
            ],
            dtype=np.dtype("i1"),
        )
    )
    result = downsample_decimate(trace, 2)
    assert result is not None
    assert isinstance(result, Trace)
    assert len(result.samples) == 15
    plot(original=trace, result=result)