def uniform(stdev, size):
 return numpy.random.uniform(low=((- stdev) * numpy.sqrt(3)), high=(stdev * numpy.sqrt(3)), size=size).astype(theano.config.floatX)

def uniform ( stdev , size ) : return numpy . random . uniform ( low = ( ( - stdev ) * numpy . sqrt ( 3 ) ) , high = ( stdev * numpy . sqrt ( 3 ) ) , size = size ) . astype ( theano . config . floatX )
returns an array of uniformly-distributed samples over an interval .