def test_zipped_lines() -> None:
inst = Line(x, 0, 1, 5) + Line(y, 1, 2, 5)
assert inst.axes() == [x, y]
(dim, ) = inst.create_dimensions()
assert dim.midpoints == {
x: pytest.approx([0, 0.25, 0.5, 0.75, 1]),
y: pytest.approx([1, 1.25, 1.5, 1.75, 2]),
}
def test_rect_region_symmetricdifference() -> None:
inst = Line(y, 1, 3, 5) * Line(x, 0, 2, 3) & Rectangle(
x, y, 0, 1, 1.5, 2.2) ^ Rectangle(x, y, 0.5, 1.5, 2, 2.5)
assert inst.axes() == [y, x]
(dim, ) = inst.create_dimensions()
assert dim.midpoints == {
x: pytest.approx([0, 1, 0, 2, 0, 2, 1, 2]),
y: pytest.approx([1, 1, 1.5, 1.5, 2, 2, 2.5, 2.5]),
}
def test_zipped_product_lines() -> None:
inst = Line(y, 1, 2, 3) * Line(x, 0, 1, 5) + Line(z, 2, 3, 5)
assert inst.axes() == [y, x, z]
dimy, dimxz = inst.create_dimensions()
assert dimxz.midpoints == {
x: pytest.approx([0, 0.25, 0.5, 0.75, 1]),
z: pytest.approx([2, 2.25, 2.5, 2.75, 3]),
}
assert dimy.midpoints == {
y: pytest.approx([1, 1.5, 2]),
}
def test_squashed_multiplied_snake_scan() -> None:
inst = Line(z, 1, 2, 2) * Squash(
Line(y, 1, 2, 2) * ~Line.bounded(x, 3, 7, 2) * Static.duration(9, 2))
assert inst.axes() == [z, y, x, DURATION]
dimz, dimxyt = inst.create_dimensions()
for d in dimxyt.midpoints, dimxyt.lower, dimxyt.upper:
assert d == {
x: pytest.approx([4, 4, 6, 6, 6, 6, 4, 4]),
y: pytest.approx([1, 1, 1, 1, 2, 2, 2, 2]),
DURATION: pytest.approx([9, 9, 9, 9, 9, 9, 9, 9]),
}
assert dimz.midpoints == dimz.lower == dimz.upper == {
z: pytest.approx([1, 2])
}
def test_circle_region() -> None:
inst = Line(y, 1, 3, 3) * Line(x, 0, 2, 3) & Circle(x, y, 1, 2, 1)
assert inst.axes() == [y, x]
(dim, ) = inst.create_dimensions()
assert dim.midpoints == {
x: pytest.approx([1, 0, 1, 2, 1]),
y: pytest.approx([1, 2, 2, 2, 3]),
}
assert dim.lower == {
x: pytest.approx([0.5, -0.5, 0.5, 1.5, 0.5]),
y: pytest.approx([1, 2, 2, 2, 3]),
}
assert dim.upper == {
x: pytest.approx([1.5, 0.5, 1.5, 2.5, 1.5]),
y: pytest.approx([1, 2, 2, 2, 3]),
}
def test_ellipse_region() -> None:
inst = Line("y", 1, 3, 3) * Line("x", 0, 2, 3) & Ellipse(
x, y, 1, 2, 2, 1, 45)
assert inst.axes() == [y, x]
(dim, ) = inst.create_dimensions()
assert dim.midpoints == {
x: pytest.approx([0, 1, 0, 1, 2, 1, 2]),
y: pytest.approx([1, 1, 2, 2, 2, 3, 3]),
}
assert dim.lower == {
x: pytest.approx([-0.5, 0.5, -0.5, 0.5, 1.5, 0.5, 1.5]),
y: pytest.approx([1, 1, 2, 2, 2, 3, 3]),
}
assert dim.upper == {
x: pytest.approx([0.5, 1.5, 0.5, 1.5, 2.5, 1.5, 2.5]),
y: pytest.approx([1, 1, 2, 2, 2, 3, 3]),
}
def test_rect_region() -> None:
inst = Line(y, 1, 3, 5) * Line(x, 0, 2, 3) & Rectangle(
x, y, 0, 1, 1.5, 2.2)
assert inst.axes() == [y, x]
(dim, ) = inst.create_dimensions()
assert dim.midpoints == {
x: pytest.approx([0, 1, 0, 1, 0, 1]),
y: pytest.approx([1, 1, 1.5, 1.5, 2, 2]),
}
assert dim.lower == {
x: pytest.approx([-0.5, 0.5, -0.5, 0.5, -0.5, 0.5]),
y: pytest.approx([1, 1, 1.5, 1.5, 2, 2]),
}
assert dim.upper == {
x: pytest.approx([0.5, 1.5, 0.5, 1.5, 0.5, 1.5]),
y: pytest.approx([1, 1, 1.5, 1.5, 2, 2]),
}
def test_product_snaking_lines() -> None:
inst = Line(y, 1, 2, 3) * ~Line(x, 0, 1, 2)
assert inst.axes() == [y, x]
dims = inst.create_dimensions()
assert len(dims) == 2
dim = Path(dims).consume()
assert dim.midpoints == {
x: pytest.approx([0, 1, 1, 0, 0, 1]),
y: pytest.approx([1, 1, 1.5, 1.5, 2, 2]),
}
assert dim.lower == {
x: pytest.approx([-0.5, 0.5, 1.5, 0.5, -0.5, 0.5]),
y: pytest.approx([1, 1, 1.5, 1.5, 2, 2]),
}
assert dim.upper == {
x: pytest.approx([0.5, 1.5, 0.5, -0.5, 0.5, 1.5]),
y: pytest.approx([1, 1, 1.5, 1.5, 2, 2]),
}
def test_polygon_region() -> None:
x_verts = [0, 0.5, 4.0, 2.5]
y_verts = [0, 3.5, 3.5, 0.5]
inst = Line("y", 1, 3, 3) * Line("x", 0, 4, 5) & Polygon(
x, y, x_verts, y_verts)
assert inst.axes() == [y, x]
(dim, ) = inst.create_dimensions()
assert dim.midpoints == {
x: pytest.approx([1, 2, 1, 2, 3, 1, 2, 3]),
y: pytest.approx([1, 1, 2, 2, 2, 3, 3, 3]),
}
assert dim.lower == {
x: pytest.approx([0.5, 1.5, 0.5, 1.5, 2.5, 0.5, 1.5, 2.5]),
y: pytest.approx([1, 1, 2, 2, 2, 3, 3, 3]),
}
assert dim.upper == {
x: pytest.approx([1.5, 2.5, 1.5, 2.5, 3.5, 1.5, 2.5, 3.5]),
y: pytest.approx([1, 1, 2, 2, 2, 3, 3, 3]),
}