Inconsistency between as_quat_array and as_float_array for single quaternions

[javidcf]

quaternion.as_quat_array returns a single scalar quaternion when a one-dimensional array is given, while quaternion.as_float_array returns a two-dimensional array when a single quaternion is given.

import numpy as np
import quaternion

print (quaternion.as_quat_array([1., 2., 3., 4.]))
print (quaternion.as_float_array(np.quaternion(1., 2., 3., 4.)))

Output:

quaternion(1, 2, 3, 4)
[[ 1.  2.  3.  4.]]

I don't know if that's on purpose but it seems to me that quaternion.as_float_array(quaternion.as_quat_array(array)) should always equal array.

Version: numpy-quaternion-0.0.0.dev2017.03.30.16.33.31

[moble]

Thanks for pointing that out. Those functions have to deal with a lot of edge cases, and I wasn't doing that one right.