Why is the dtype shown (even if it's the native one) when using floor division with NumPy?

Normally the dtype is hidden when it's equivalent to the native type:

>>> import numpy as np
>>> np.arange(5)
array([0, 1, 2, 3, 4])
>>> np.arange(5).dtype
dtype('int32')

>>> np.arange(5) + 3
array([3, 4, 5, 6, 7])

But somehow that doesn't apply to floor division or modulo:

>>> np.arange(5) // 3
array([0, 0, 0, 1, 1], dtype=int32)
>>> np.arange(5) % 3
array([0, 1, 2, 0, 1], dtype=int32)

Why is there a difference?

Python 3.5.4, NumPy 1.13.1, Windows 64bit