`scipy.spatial.transform.Rotation` Integration

Vector Version

1.1.1.post1

Python Version

3.10.9

OS / Environment

OS: KAli Linux 2023.3
Environment: scipy==1.11.1

Describe the bug

First of all thanks for the awesome work on the library

there are some errors with Rotation.apply

these are some ways to reproduce

from scipy.spatial.transform import Rotation
from vector import VectorObject3D, VectorNumpy3D

v_object = VectorObject3D(x=1, y=0, z=0)
v_array = VectorNumpy3D({"x": [1], "y": [0], "z": [0]})
r = Rotation.from_quat((0, 0, 1, 1))

# _r = r.as_quat()
# print(v.rotate_quaternion(_r[3], _r[0], _r[1], _r[2]))
# Returns: VectorObject3D(x=0.0, y=0.9999999999999998, z=0.0)

# print(r.apply(v_object))  # Raises: IndexError(tuple index out of range)
print(r.apply(v_object.__array__().tolist()))
# Returns: [0. 1. 0.]

# print(r.apply(v_array))  # Raises: ValueError(Expected input of shape (3,) or (P, 3), got (1,).)
print(r.apply(v_array.tolist()))
# Returns: [[0. 1. 0.]]

I think it would be a good idea to add rotate method to Vector that accepts the Rotation instance as input and applies the rotation on Vector

from scipy.spatial.transform import Rotation

def rotate(self, rot: Rotation):
    pass

Any additional but relevant log output

No response

Start with the reproduced scipy.spatial.transform.Rotation.apply calls and inspect the VectorObject3D and VectorNumpy3D interfaces. Compare the direct Rotation inputs with the working array-list inputs, then define completion as Rotation instances being accepted for both vector forms with the shown rotations producing the expected results.