from __future__ import annotations import numpy as npimport pytest from manim import Circle, Squarefrom manim.mobject.geometry.boolean_ops import _BooleanOps  @pytest.mark.parametrize(    ("test_input", "expected"),    [        (            [(1.0, 2.0), (3.0, 4.0)],            [                np.array([1.0, 2.0, 0]),                np.array([3.0, 4.0, 0]),            ],        ),        (            [(1.1, 2.2)],            [                np.array([1.1, 2.2, 0.0]),            ],        ),    ],)def test_convert_2d_to_3d_array(test_input, expected):    a = _BooleanOps()    result = a._convert_2d_to_3d_array(test_input)    assert len(result) == len(expected)    for i in range(len(result)):        assert (result[i] == expected[i]).all()  def test_convert_2d_to_3d_array_zdim():    a = _BooleanOps()    result = a._convert_2d_to_3d_array([(1.0, 2.0)], z_dim=1.0)    assert (result[0] == np.array([1.0, 2.0, 1.0])).all()  @pytest.mark.parametrize(    "test_input",    [        Square(),        Circle(),        Square(side_length=4),        Circle(radius=3),    ],)def test_vmobject_to_skia_path_and_inverse(test_input):    a = _BooleanOps()    path = a._convert_vmobject_to_skia_path(test_input)    assert len(list(path.segments)) > 1     new_vmobject = a._convert_skia_path_to_vmobject(path)    # for some reason there is an extra 4 points in new vmobject than original    np.testing.assert_allclose(new_vmobject.points[:-4], test_input.points)