Repository: ManimCommunity/manim
File: manim/mobject/geometry.py (Python)

Code before:
                q2 = a2.reverse_direction().get_points()  #  save all coordinates of points of angle a1 (in reversed direction)
                pnts = np.concatenate([q1, q2, q1[0].reshape(1, 3)])  # adds points and ensures that path starts and ends at same point
                mfill = VMobject().set_color(ORANGE)
                mfill.set_points_as_corners(pnts).set_fill(GREEN, opacity=1)
                self.add(l1, l2)
                self.add(mfill)

    """

    def __init__(
        self,
        line1: Line,
        line2: Line,
        radius: float = None,
        quadrant=(1, 1),
        other_angle: bool = False,
        dot=False,
        dot_radius=None,
        dot_distance=0.55,
        dot_color=WHITE,
        elbow=False,
        **kwargs,
    ):
        super().__init__(**kwargs)
        self.line1 = line1
        self.line2 = line2
        self.quadrant = quadrant
        self.dot_distance = dot_distance
        self.elbow = elbow
        inter = line_intersection(
            [line1.get_start(), line1.get_end()], [line2.get_start(), line2.get_end()]
        )

        if radius is None:
            if quadrant[0] == 1:
                dist_1 = np.linalg.norm(line1.get_end() - inter)
            else:
                dist_1 = np.linalg.norm(line1.get_start() - inter)
            if quadrant[1] == 1:
                dist_2 = np.linalg.norm(line2.get_end() - inter)
            else:
                dist_2 = np.linalg.norm(line2.get_start() - inter)
            if np.minimum(dist_1, dist_2) < 0.6:
                radius = (2 / 3) * np.minimum(dist_1, dist_2)
            else:
                radius = 0.4
        else:
            self.radius = radius

        anchor_angle_1 = inter + quadrant[0] * radius * line1.get_unit_vector()
        anchor_angle_2 = inter + quadrant[1] * radius * line2.get_unit_vector()

Review comment (suggestion):
I don't particularly like adding attributes `line1`, `line2` to `Angle` because that's not very explicit. Here is a possible suggestion:

```suggestion
        self.lines = (line1, line2)
```

Code after:
            def construct(self):
                l1 = Line(ORIGIN, 2 * UP + RIGHT).set_color(GREEN)
                l2 = (
                    Line(ORIGIN, 2 * UP + RIGHT)
                    .set_color(GREEN)
                    .rotate(-20 * DEGREES, about_point=ORIGIN)
                )
                norm = l1.get_length()
                a1 = Angle(l1, l2, other_angle=True, radius=norm - 0.5).set_color(GREEN)
                a2 = Angle(l1, l2, other_angle=True, radius=norm).set_color(GREEN)
                q1 = a1.get_points() #  save all coordinates of points of angle a1
                q2 = a2.reverse_direction().get_points()  #  save all coordinates of points of angle a1 (in reversed direction)
                pnts = np.concatenate([q1, q2, q1[0].reshape(1, 3)])  # adds points and ensures that path starts and ends at same point
                mfill = VMobject().set_color(ORANGE)
                mfill.set_points_as_corners(pnts).set_fill(GREEN, opacity=1)
                self.add(l1, l2)
                self.add(mfill)

    """

    def __init__(
        self,
        line1: Line,
        line2: Line,
        radius: float = None,
        quadrant=(1, 1),
        other_angle: bool = False,
        dot=False,
        dot_radius=None,
        dot_distance=0.55,
        dot_color=WHITE,
        elbow=False,
        **kwargs,
    ):
        super().__init__(**kwargs)
        self.lines = (line1, line2)
        self.quadrant = quadrant
        self.dot_distance = dot_distance
        self.elbow = elbow
        inter = line_intersection(
            [line1.get_start(), line1.get_end()], [line2.get_start(), line2.get_end()]
        )

        if radius is None:
            if quadrant[0] == 1:
                dist_1 = np.linalg.norm(line1.get_end() - inter)
            else:
                dist_1 = np.linalg.norm(line1.get_start() - inter)
            if quadrant[1] == 1:
                dist_2 = np.linalg.norm(line2.get_end() - inter)
            else: