sptensor.logical_or has inconsistent output

[dmdunla]

As in #256, sptensor.logical_or has inconsistent output when the input is a dense tensor, scalar, and sparse tensor:

>>> import pyttb as ttb
>>> import numpy as np
>>> S = ttb.sptensor()
>>> S[0,0] = 1; S[1,1] = 2
>>> S
sparse tensor of shape (2, 2) with 2 nonzeros
[0, 0] = 1.0
[1, 1] = 2.0

>>> S.logical_or(S)
sparse tensor of shape (2, 2) with 2 nonzeros
[0, 0] = 1.0
[1, 1] = 1.0

>>> T = S.to_tensor()
>>> S.logical_or(T)
tensor of shape (2, 2)
data[:, :] =
[[ True False]
 [False  True]]

>>> S.logical_or(1)
tensor of shape (2, 2)
data[:, :] =
[[ True  True]
 [ True  True]]