Cleanup shape test files

tests/shapes/circles/__init__.py

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+"""Test data_morph.shapes.circles subpackage."""

tests/shapes/circles/bases.py

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+"""Base test class for circle shapes."""
+
+from __future__ import annotations
+
+import re
+from typing import TYPE_CHECKING
+
+import pytest
+
+if TYPE_CHECKING:
+    from numbers import Number
+
+CIRCLE_REPR = r'<Circle center=\((\d+\.*\d*), (\d+\.*\d*)\) radius=(\d+\.*\d*)>'
+
+
+class CirclesModuleTestBase:
+    """Base for testing circle shapes."""
+
+    shape_name: str
+    distance_test_cases: tuple[tuple[tuple[Number], float]]
+    repr_regex: str
+
+    @pytest.fixture(scope='class')
+    def shape(self, shape_factory):
+        """Fixture to get the shape for testing."""
+        return shape_factory.generate_shape(self.shape_name)
+
+    def test_distance(self, shape, test_point, expected_distance):
+        """
+        Test the distance() method parametrized by distance_test_cases
+        (see conftest.py).
+        """
+        assert pytest.approx(shape.distance(*test_point)) == expected_distance
+
+    def test_repr(self, shape):
+        """Test that the __repr__() method is working."""
+        assert re.match(self.repr_regex, repr(shape)) is not None

tests/shapes/circles/test_bullseye.py

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+"""Test the bullseye module."""
+
+import numpy as np
+import pytest
+
+from .bases import CIRCLE_REPR, CirclesModuleTestBase
+
+pytestmark = [pytest.mark.shapes, pytest.mark.circles]
+
+
+class TestBullseye(CirclesModuleTestBase):
+    """Test the Bullseye class."""
+
+    shape_name = 'bullseye'
+    distance_test_cases = (((20, 50), 3.660254), ((10, 25), 9.08004))
+    repr_regex = (
+        r'^<Bullseye>\n'
+        r'  circles=\n'
+        r'          ' + CIRCLE_REPR + '\n'
+        r'          ' + CIRCLE_REPR + '$'
+    )
+
+    def test_init(self, shape):
+        """Test that the Bullseye contains two concentric circles."""
+        assert len(shape.circles) == 2
+
+        a, b = shape.circles
+        assert np.array_equal(a.center, b.center)
+        assert a.radius != b.radius

tests/shapes/circles/test_circle.py

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+"""Test the circle module."""
+
+import numpy as np
+import pytest
+
+from .bases import CIRCLE_REPR, CirclesModuleTestBase
+
+pytestmark = [pytest.mark.shapes, pytest.mark.circles]
+
+
+class TestCircle(CirclesModuleTestBase):
+    """Test the Circle class."""
+
+    shape_name = 'circle'
+    distance_test_cases = (((20, 50), 10.490381), ((10, 25), 15.910168))
+    repr_regex = '^' + CIRCLE_REPR + '$'
+
+    def test_is_circle(self, shape):
+        """Test that the Circle is a valid circle (mathematically)."""
+        angles = np.arange(0, 361, 45)
+        cx, cy = shape.center
+        for x, y in zip(
+            cx + shape.radius * np.cos(angles),
+            cy + shape.radius * np.sin(angles),
+        ):
+            assert pytest.approx(shape.distance(x, y)) == 0

tests/shapes/circles/test_rings.py

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+"""Test the rings module."""
+
+import numpy as np
+import pytest
+
+from .bases import CIRCLE_REPR, CirclesModuleTestBase
+
+pytestmark = [pytest.mark.shapes, pytest.mark.circles]
+
+
+class TestRings(CirclesModuleTestBase):
+    """Test the Rings class."""
+
+    shape_name = 'rings'
+    distance_test_cases = (((20, 50), 3.16987), ((10, 25), 9.08004))
+    repr_regex = (
+        r'^<Rings>\n'
+        r'  circles=\n'
+        r'          ' + CIRCLE_REPR + '\n'
+        r'          ' + CIRCLE_REPR + '\n'
+        r'          ' + CIRCLE_REPR + '\n'
+        r'          ' + CIRCLE_REPR + '$'
+    )
+
+    @pytest.mark.parametrize('num_rings', [3, 5])
+    def test_init(self, shape_factory, num_rings):
+        """Test that the Rings contains multiple concentric circles."""
+        shape = shape_factory.generate_shape(self.shape_name, num_rings=num_rings)
+
+        assert len(shape.circles) == num_rings
+        assert all(
+            np.array_equal(circle.center, shape.circles[0].center)
+            for circle in shape.circles[1:]
+        )
+        assert len({circle.radius for circle in shape.circles}) == num_rings
+
+    @pytest.mark.parametrize('num_rings', ['3', -5, 1, True])
+    def test_num_rings_is_valid(self, shape_factory, num_rings):
+        """Test that num_rings input validation is working."""
+        if isinstance(num_rings, int):
+            with pytest.raises(ValueError, match='num_rings must be greater than 1'):
+                _ = shape_factory.generate_shape(self.shape_name, num_rings=num_rings)
+        else:
+            with pytest.raises(TypeError, match='num_rings must be an integer'):
+                _ = shape_factory.generate_shape(self.shape_name, num_rings=num_rings)

tests/shapes/lines/__init__.py

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+"""Test data_morph.shapes.lines subpackage."""

tests/shapes/lines/bases.py

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+"""Base test classes for line shapes."""
+
+from __future__ import annotations
+
+from numbers import Number
+
+import numpy as np
+import pytest
+
+
+class LinesModuleTestBase:
+    """Base for testing line-based shapes."""
+
+    shape_name: str
+    distance_test_cases: tuple[tuple[tuple[Number], float]]
+    expected_line_count: int
+    expected_slopes: tuple[Number] | Number
+
+    @pytest.fixture(scope='class')
+    def shape(self, shape_factory):
+        """Fixture to get the shape for testing."""
+        return shape_factory.generate_shape(self.shape_name)
+
+    @pytest.fixture(scope='class')
+    def slopes(self, shape):
+        """Fixture to get the slopes of the lines."""
+        xs, ys = np.array(shape.lines).T
+        runs = np.diff(xs, axis=0)
+        rises = np.diff(ys, axis=0)
+        slopes = rises / np.ma.masked_array(runs, mask=runs == 0)
+        return slopes.filled(np.inf)
+
+    def test_init(self, shape):
+        """Test that the shape consists of the correct number of distinct lines."""
+        num_unique_lines, *_ = np.unique(shape.lines, axis=0).shape
+        assert num_unique_lines == self.expected_line_count
+
+    def test_distance(self, shape, test_point, expected_distance):
+        """
+        Test the distance() method parametrized by distance_test_cases
+        (see conftest.py).
+        """
+        assert pytest.approx(shape.distance(*test_point)) == expected_distance
+
+    def test_slopes(self, slopes):
+        """Test that the slopes are as expected."""
+        expected = (
+            [self.expected_slopes]
+            if isinstance(self.expected_slopes, Number)
+            else self.expected_slopes
+        )
+        assert np.array_equal(np.unique(slopes), expected)
+
+
+class ParallelLinesModuleTestBase(LinesModuleTestBase):
+    """Base for testing parallel line-based shapes."""
+
+    def test_lines_are_parallel(self, slopes):
+        """Test that the lines are parallel (slopes are equal)."""
+        assert np.unique(slopes).size == 1
+
+
+class PolygonsLineModuleTestBase:
+    """Base for testing polygon shapes."""
+
+    shape_name: str
+    distance_test_cases: tuple[tuple[tuple[Number], float]]
+    expected_line_count: int
+
+    @pytest.fixture(scope='class')
+    def shape(self, shape_factory):
+        """Fixture to get the shape for testing."""
+        return shape_factory.generate_shape(self.shape_name)
+
+    @pytest.fixture(scope='class')
+    def slopes(self, shape):
+        """Fixture to get the slopes of the lines."""
+        xs, ys = np.array(shape.lines).T
+        runs = np.diff(xs, axis=0)
+        rises = np.diff(ys, axis=0)
+        slopes = rises / np.ma.masked_array(runs, mask=runs == 0)
+        return slopes.filled(np.inf)
+
+    def test_init(self, shape):
+        """Test that the shape consists of the correct number of distinct lines."""
+        num_unique_lines, *_ = np.unique(shape.lines, axis=0).shape
+        assert num_unique_lines == self.expected_line_count
+
+    def test_distance(self, shape, test_point, expected_distance):
+        """
+        Test the distance() method parametrized by distance_test_cases
+        (see conftest.py).
+        """
+        assert pytest.approx(shape.distance(*test_point)) == expected_distance
+
+    def test_lines_form_polygon(self, shape):
+        """Test that the lines form a polygon."""
+        endpoints = np.array(shape.lines).reshape(-1, 2)
+        assert np.unique(endpoints, axis=0).shape[0] == self.expected_line_count

tests/shapes/lines/test_diamond.py

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+"""Test the diamond module."""
+
+import numpy as np
+import pytest
+
+from .bases import PolygonsLineModuleTestBase
+
+pytestmark = [pytest.mark.shapes, pytest.mark.lines, pytest.mark.polygons]
+
+
+class TestDiamond(PolygonsLineModuleTestBase):
+    """Test the Diamond class."""
+
+    shape_name = 'diamond'
+    distance_test_cases = (((20, 50), 0.0), ((30, 60), 2.773501))
+    expected_line_count = 4
+
+    def test_slopes(self, slopes):
+        """Test that the slopes are as expected."""
+        np.testing.assert_array_equal(np.sort(slopes).flatten(), [-1.5, -1.5, 1.5, 1.5])

tests/shapes/lines/test_high_lines.py

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+"""Test the high_lines module."""
+
+import pytest
+
+from .bases import ParallelLinesModuleTestBase
+
+pytestmark = [pytest.mark.shapes, pytest.mark.lines]
+
+
+class TestHighLines(ParallelLinesModuleTestBase):
+    """Test the HighLines class."""
+
+    shape_name = 'high_lines'
+    distance_test_cases = (((20, 50), 6.0), ((30, 60), 4.0))
+    expected_line_count = 2
+    expected_slopes = 0

tests/shapes/lines/test_horizontal_lines.py

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+"""Test the horizontal_lines module."""
+
+import pytest
+
+from .bases import ParallelLinesModuleTestBase
+
+pytestmark = [pytest.mark.shapes, pytest.mark.lines]
+
+
+class TestHorizontalLines(ParallelLinesModuleTestBase):
+    """Test the HorizontalLines class."""
+
+    shape_name = 'h_lines'
+    distance_test_cases = (((20, 50), 0.0), ((30, 60), 2.5))
+    expected_line_count = 5
+    expected_slopes = 0

tests/shapes/lines/test_rectangle.py

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+"""Test the rectangle module."""
+
+import numpy as np
+import pytest
+
+from .bases import PolygonsLineModuleTestBase
+
+pytestmark = [pytest.mark.shapes, pytest.mark.lines, pytest.mark.polygons]
+
+
+class TestRectangle(PolygonsLineModuleTestBase):
+    """Test the Rectangle class."""
+
+    shape_name = 'rectangle'
+    distance_test_cases = (((20, 50), 0.0), ((30, 60), 2.0))
+    expected_line_count = 4
+
+    def test_slopes(self, slopes):
+        """Test that the slopes are as expected."""
+        np.testing.assert_array_equal(np.sort(slopes).flatten(), [0, 0, np.inf, np.inf])

tests/shapes/lines/test_slant_down_lines.py

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+"""Test the slant_down module."""
+
+import pytest
+
+from .bases import ParallelLinesModuleTestBase
+
+pytestmark = [pytest.mark.shapes, pytest.mark.lines]
+
+
+class TestSlantDownLines(ParallelLinesModuleTestBase):
+    """Test the SlantDownLines class."""
+
+    shape_name = 'slant_down'
+    distance_test_cases = (((20, 50), 1.664101), ((30, 60), 0.554700))
+    expected_line_count = 5
+    expected_slopes = -1.5

tests/shapes/lines/test_slant_up_lines.py

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+"""Test the slant_down module."""
+
+import pytest
+
+from .bases import ParallelLinesModuleTestBase
+
+pytestmark = [pytest.mark.shapes, pytest.mark.lines]
+
+
+class TestSlantUpLines(ParallelLinesModuleTestBase):
+    """Test the SlantUpLines class."""
+
+    shape_name = 'slant_up'
+    distance_test_cases = (((20, 50), 1.664101), ((30, 60), 1.109400))
+    expected_line_count = 5
+    expected_slopes = 1.5

tests/shapes/lines/test_star.py

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+"""Test the star module."""
+
+import pytest
+
+from .bases import PolygonsLineModuleTestBase
+
+pytestmark = [pytest.mark.shapes, pytest.mark.lines, pytest.mark.polygons]
+
+
+class TestStar(PolygonsLineModuleTestBase):
+    """Test the Star class."""
+
+    shape_name = 'star'
+    distance_test_cases = (((20, 50), 5.856516), ((30, 60), 3.709127))
+    expected_line_count = 10

tests/shapes/lines/test_vertical_lines.py

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+"""Test the vertical_lines module."""
+
+import numpy as np
+import pytest
+
+from .bases import ParallelLinesModuleTestBase
+
+pytestmark = [pytest.mark.shapes, pytest.mark.lines]
+
+
+class TestVerticalLines(ParallelLinesModuleTestBase):
+    """Test the VerticalLines class."""
+
+    shape_name = 'v_lines'
+    distance_test_cases = (((35, 60), 5.0), ((30, 60), 0.0))
+    expected_line_count = 5
+    expected_slopes = np.inf