Added optika.apertures.RegularPolygonalAperture.

optika/_tests/test_apertures.py

@@ -198,6 +198,31 @@ def test_num_vertices(self, a: optika.apertures.AbstractRegularPolygonalAperture
         assert isinstance(a.num_vertices, int)
 
 
+@pytest.mark.parametrize(
+    argnames="a",
+    argvalues=[
+        optika.apertures.RegularPolygonalAperture(
+            radius=radius,
+            num_vertices=6,
+            samples_wire=21,
+            active=active,
+            inverted=inverted,
+            transformation=transformation,
+            kwargs_plot=kwargs_plot,
+        )
+        for radius in radius_parameterization
+        for active in active_parameterization
+        for inverted in inverted_parameterization
+        for transformation in transform_parameterization
+        for kwargs_plot in test_plotting.kwargs_plot_parameterization
+    ],
+)
+class TestRegularPolygonalAperture(
+    AbstractTestAbstractRegularPolygonalAperture,
+):
+    pass
+
+
 class AbstractTestAbstractOctagonalAperture(
     AbstractTestAbstractRegularPolygonalAperture,
 ):

optika/apertures.py

@@ -547,6 +547,19 @@ def vertices(self) -> na.AbstractCartesian3dVectorArray:
         return result
 
 
+@dataclasses.dataclass(eq=False, repr=False)
+class RegularPolygonalAperture(
+    AbstractRegularPolygonalAperture,
+):
+    radius: float | u.Quantity | na.AbstractScalar = 0 * u.mm
+    num_vertices: int = 0
+    samples_wire: int = 101
+    active: bool | na.AbstractScalar = True
+    inverted: bool | na.AbstractScalar = False
+    transformation: None | na.transformations.AbstractTransformation = None
+    kwargs_plot: None | dict = None
+
+
 @dataclasses.dataclass(eq=False, repr=False)
 class AbstractOctagonalAperture(
     AbstractRegularPolygonalAperture,