NumPy and cuNumeric behave differently in 1 case for array API

[robinwnv]

NumPy and cuNumeric behave differently for the following cases.
Some of the cases need to be fixed while the others are expected divergences.

Case-1

res_num = num.array(object, ndmin=ndmin)

object is one of the following values:

0, [], [1, 2], [[1, 2], [3, 4.1]]

ndmin is one of the following values:

-1, 0, 1, 2, 3, 4

If dim of object is smaller than ndmin,
In Numpy, it pass
In cuNumeric, it raises TypeError: 'NoneType' object cannot be interpreted as an integer

[robinwnv]

#910 is merged to fix this issue #885. Close this issue.