Esempio n. 1
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def test_set_slice_range():
    """
    Sets a slice across a range of one of the dimensions.
    """
    stack = synthetic_stack()
    zrange = slice(1, 3)
    Y, X = stack.tile_shape

    expected = np.ones((stack.shape[Indices.HYB], stack.shape[Indices.CH],
                        zrange.stop - zrange.start, Y, X)) * 10
    index = {Indices.Z: zrange}

    stack.set_slice(index, expected)

    assert np.array_equal(stack.get_slice(index)[0], expected)
Esempio n. 2
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def test_set_slice_middle_index():
    """
    Sets a slice across one of the indices in the middle.  For instance, if the dimensions are
    (P, Q0,..., Qn-1, R), slice across one of the Q axes.
    """
    stack = synthetic_stack()
    ch = 1
    Y, X = stack.tile_shape

    expected = np.ones(
        (stack.shape[Indices.HYB], stack.shape[Indices.Z], Y, X)) * 2
    index = {Indices.CH: ch}

    stack.set_slice(index, expected)

    assert np.array_equal(stack.get_slice(index)[0], expected)
Esempio n. 3
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def test_set_slice_simple_index():
    """
    Sets a slice across one of the indices at the end.  For instance, if the dimensions are
    (P, Q0,..., Qn-1, R), sets a slice across either P or R.
    """
    stack = synthetic_stack()
    hyb = 1
    Y, X = stack.tile_shape

    expected = np.ones(
        (stack.shape[Indices.CH], stack.shape[Indices.Z], Y, X)) * 2
    index = {Indices.HYB: hyb}

    stack.set_slice(index, expected)

    assert np.array_equal(stack.get_slice(index)[0], expected)
def test_conflict():
    """
    Tiles that have extras that conflict with indices should produce an error.
    """
    def tile_extras_provider(hyb: int, ch: int, z: int) -> Any:
        return {
            Indices.HYB: hyb,
            Indices.CH: ch,
            Indices.Z: z,
        }

    stack = synthetic_stack(
        tile_extras_provider=tile_extras_provider,
    )
    with pytest.raises(ValueError):
        stack.tile_metadata
Esempio n. 5
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def test_get_slice_range():
    """
    Retrieve a slice across a range of one of the dimensions.
    """
    stack = synthetic_stack()
    zrange = slice(1, 3)
    imageslice, axes = stack.get_slice({Indices.Z: zrange})
    Y, X = stack.tile_shape
    assert axes == [Indices.HYB, Indices.CH, Indices.Z]

    for hyb in range(stack.shape[Indices.HYB]):
        for ch in range(stack.shape[Indices.CH]):
            for z in range(zrange.stop - zrange.start):
                data = np.empty((Y, X))
                data.fill((hyb * stack.shape[Indices.CH] + ch) *
                          stack.shape[Indices.Z] + (z + zrange.start))

                assert data.all() == imageslice[hyb, ch, z].all()
def test_metadata():
    """
    Normal situation where all the tiles have uniform keys for both indices and extras.
    """
    def tile_extras_provider(hyb: int, ch: int, z: int) -> Any:
        return {
            'random_key': {
                Indices.HYB: hyb,
                Indices.CH: ch,
                Indices.Z: z,
            }
        }

    stack = synthetic_stack(
        tile_extras_provider=tile_extras_provider,
    )
    table = stack.tile_metadata
    assert len(table) == DEFAULT_NUM_HYB * DEFAULT_NUM_CH * DEFAULT_NUM_Z
Esempio n. 7
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def test_get_slice_simple_index():
    """
    Retrieve a slice across one of the indices at the end.  For instance, if the dimensions are
    (P, Q0,..., Qn-1, R), slice across either P or R.
    """
    stack = synthetic_stack()
    hyb = 1
    imageslice, axes = stack.get_slice({Indices.HYB: hyb})
    assert axes == [Indices.CH, Indices.Z]

    Y, X = stack.tile_shape

    for ch in range(stack.shape[Indices.CH]):
        for z in range(stack.shape[Indices.Z]):
            data = np.empty((Y, X))
            data.fill((hyb * stack.shape[Indices.CH] + ch) *
                      stack.shape[Indices.Z] + z)

            assert data.all() == imageslice[ch, z].all()
Esempio n. 8
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def test_get_slice_middle_index():
    """
    Retrieve a slice across one of the indices in the middle.  For instance, if the dimensions are
    (P, Q0,..., Qn-1, R), slice across one of the Q axes.
    """
    stack = synthetic_stack()
    ch = 1
    imageslice, axes = stack.get_slice({Indices.CH: ch})
    assert axes == [Indices.HYB, Indices.Z]

    Y, X = stack.tile_shape

    for hyb in range(stack.shape[Indices.HYB]):
        for z in range(stack.shape[Indices.Z]):
            data = np.empty((Y, X))
            data.fill((hyb * stack.shape[Indices.CH] + ch) *
                      stack.shape[Indices.Z] + z)

            assert data.all() == imageslice[hyb, z].all()
def test_missing_extras():
    """
    If the extras are not present on some of the tiles, it should still work.
    """
    def tile_extras_provider(hyb: int, ch: int, z: int) -> Any:
        if hyb == 0:
            return {
                'random_key': {
                    Indices.HYB: hyb,
                    Indices.CH: ch,
                    Indices.Z: z,
                }
            }
        else:
            return None

    stack = synthetic_stack(
        tile_extras_provider=tile_extras_provider,
    )
    table = stack.tile_metadata
    assert len(table) == DEFAULT_NUM_HYB * DEFAULT_NUM_CH * DEFAULT_NUM_Z
Esempio n. 10
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def test_apply_3d():
    """test that apply correctly applies a simple function across 3d volumes of a Stack"""
    stack = synthetic_stack()
    assert np.all(stack.numpy_array == 1)
    stack.apply(multiply, value=4, is_volume=True)
    assert (stack.numpy_array == 4).all()
Esempio n. 11
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def test_apply():
    """test that apply correctly applies a simple function across 2d tiles of a Stack"""
    stack = synthetic_stack()
    assert (stack.numpy_array == 1).all()
    stack.apply(multiply, value=2)
    assert (stack.numpy_array == 2).all()