Example #1
0
def test_unit_restore():
    unit = Unit(get_conf(
        UNIT_INPUT_HEIGHT=2,
        UNIT_INPUT_WIDTH=4,
        UNIT_OUTPUT_WIDTH=4
    ))

    messages = [
        (
            from_plain_signal(i % 4, 4),
            from_plain_signal((i + 1) % 4, 4),
        )
        for i in range(100)
    ]

    for message in messages:
        unit.activate(message)

    message = (
        from_plain_signal(0, 4),
        None
    )
    expected_message = (
        from_plain_signal(0, 4),
        from_plain_signal(1, 4),
    )

    restored_message = unit.restore(message)
    assert restored_message[0] == expected_message[0], 'first signal should be exactly the same'
    assert to_plain_signal(restored_message[1]) == to_plain_signal(expected_message[1])
Example #2
0
def test_time_unit_prediction():
    unit = TimeUnit(
        get_conf(UNIT_INPUT_HEIGHT=2,
                 UNIT_INPUT_WIDTH=4,
                 UNIT_OUTPUT_WIDTH=4,
                 TIME_UNIT_BUFFER_SIZE=1))

    # learning
    signals_to_learn = [from_plain_signal(i % 4, 4) for i in range(100)]
    for signal in signals_to_learn:
        unit.activate(signal)

    # set base signals for prediction
    signals = [
        from_plain_signal(0, 4),
    ]
    unit.reset()
    for signal in signals:
        unit.activate(signal)

    # predict
    expected_prediction = from_plain_signal(1, 4)
    prediction = unit.get_prediction()

    assert to_plain_signal(
        prediction[0]) == to_plain_signal(expected_prediction)
Example #3
0
def test_time_unit_prediction():
    unit = TimeUnit(get_conf(UNIT_INPUT_HEIGHT=2, UNIT_INPUT_WIDTH=4, UNIT_OUTPUT_WIDTH=4, TIME_UNIT_BUFFER_SIZE=1))

    # learning
    signals_to_learn = [from_plain_signal(i % 4, 4) for i in range(100)]
    for signal in signals_to_learn:
        unit.activate(signal)

    # set base signals for prediction
    signals = [from_plain_signal(0, 4)]
    unit.reset()
    for signal in signals:
        unit.activate(signal)

    # predict
    expected_prediction = from_plain_signal(1, 4)
    prediction = unit.get_prediction()

    assert to_plain_signal(prediction[0]) == to_plain_signal(expected_prediction)
Example #4
0
def test_unit_restore():
    unit = Unit(
        get_conf(UNIT_INPUT_HEIGHT=2, UNIT_INPUT_WIDTH=4, UNIT_OUTPUT_WIDTH=4))

    messages = [(
        from_plain_signal(i % 4, 4),
        from_plain_signal((i + 1) % 4, 4),
    ) for i in range(100)]

    for message in messages:
        unit.activate(message)

    message = (from_plain_signal(0, 4), None)
    expected_message = (
        from_plain_signal(0, 4),
        from_plain_signal(1, 4),
    )

    restored_message = unit.restore(message)
    assert restored_message[0] == expected_message[
        0], 'first signal should be exactly the same'
    assert to_plain_signal(restored_message[1]) == to_plain_signal(
        expected_message[1])