Transform.apply_to_list for inhomogeneous lists #22
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Good catch. I will review and merge as soon as I have some free time. On a quick glance it looks like you might have mixed some code from the other PR. |
VascoSch92
reviewed
Feb 22, 2024
| rpt = rot.apply_to_point(pt) | ||
| d = (rpt.x**2 + rpt.y**2 - rpt.x)/(rpt.x - 1) | ||
| return cls.from_closest_point_e_polar(d,theta,cw = cw) | ||
| @classmethod |
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| @@ -39,6 +40,13 @@ def from_closest_point(pt, surround_origin=False, cw=True): | |||
| return Horocycle( | |||
| shape, closest_point=pt, surround_origin=surround_origin) | |||
| @classmethod | |||
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The current implementation of Transform.apply_to_list assumes its argument to consist entirely of ideal or non-ideal points. Therefore it cannot be applied to the fundamental domain of SL_2(Z), for instance. This change checks the type of each point in the argument individually.