Uniform sampler failed

[wddabc]

Mentioned in #158, but should be a separate issue:
The sample code

import minpy
print minpy.numpy.random.uniform(low=-1., high=1., size=(2,3))

triggered

mxnet/python/mxnet/base.pyc in check_call(ret)
73 """
74 if ret != 0:
---> 75 raise MXNetError(py_str(_LIB.MXGetLastError()))
76
77 if sys.version_info[0] < 3:

MXNetError: Cannot find argument 'size', Possible Arguments:

low : float, optional, default=0
The lower bound of distribution
high : float, optional, default=1
The upper bound of distribution
shape : Shape(tuple), optional, default=()
The shape of the output
ctx : string, optional, default=''
Context of output, in format cpu|gpu|cpu_pinned.Only used for imperative calls.
dtype : int, optional, default='0'
DType of the output
, in operator uniform(name="", size="(2, 3)", low="-1.0", high="1.0")

[jermainewang]

This is an mxnet error. It uses shape rather than size argument. Try:

minpy.numpy.random.uniform(low=-1, high=1, shape=(2,3))

[wddabc]

Thanks. It works. But I think this issue should be remained open until it comforms to numpy.