Beispiel #1
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def test_preprocess():
    inputs_1 = [1, 2]
    seed_1 = [[1, 1], [2, 2]]
    inputs_2 = [[1], (2)]
    assert preprocess(inputs_1)[0].value == np.array(
        [1]), 'preprocess is mishandling seed = []'
    assert preprocess(inputs_1)[1].value == np.array(
        [2]), 'preprocess is mishandling seed = []'
    assert (preprocess(inputs_1)[0].gradients == np.array(
        [1, 0])).all(), 'preprocess is mishandling seed = []'
    assert (preprocess(inputs_1)[1].gradients == np.array(
        [0, 1])).all(), 'preprocess is mishandling seed = []'
    assert preprocess(inputs_2)[0].value == np.array(
        [1]), 'preprocess is mishandling seed = []'
    assert preprocess(inputs_2)[1].value == np.array(
        [2]), 'preprocess is mishandling seed = []'

    assert preprocess(inputs_1, seed_1)[0].value == np.array(
        [1]), 'preprocess is not creating correct gradients'
    assert preprocess(inputs_1, seed_1)[1].value == np.array(
        [2]), 'preprocess is not creating correct gradients'
    assert (preprocess(inputs_1, seed_1)[0].gradients == np.array(
        [1, 1])).all(), 'preprocess is not creating correct gradients'
    assert (preprocess(inputs_1, seed_1)[1].gradients == np.array(
        [2, 2])).all(), 'preprocess is not creating correct gradients'
Beispiel #2
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def test_preprocess_bad_seed3():
    with pytest.raises(TypeError):
        inputs_1 = [1, 2]
        seed_1 = [[1, 1], [2, '2']]
        preprocess(inputs_1, seed_1)
Beispiel #3
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def test_preprocess_bad_seed2():
    with pytest.raises(ValueError):
        inputs_1 = [1, 2]
        seed_1 = [[1], [1, 2]]
        preprocess(inputs_1, seed_1)
Beispiel #4
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def test_preprocess_string_input():
    with pytest.raises(TypeError):
        inputs_1 = [1, '2']
        seed_1 = [[1, 1], [2, 2]]
        preprocess(inputs_1)