def __rdiv__(self, other):
        """x.__rdiv__(y) <=> y/x

        Only `NDArray` is supported for now.

        Example
        -------
        >>> x = mx.nd.ones((2,3))*3
        >>> y = mx.nd.ones((2,3))
        >>> x.__rdiv__(y).asnumpy()
        array([[ 0.33333334,  0.33333334,  0.33333334],
               [ 0.33333334,  0.33333334,  0.33333334]], dtype=float32)
        """
        if isinstance(other, Number):
            return _internal._RDivScalar(self, scalar=other)
        else:
            raise TypeError('type %s not supported' % str(type(other)))
def __rdiv__ ( self , other ) : if isinstance ( other , Number ) : return _internal . _RDivScalar ( self , scalar = other ) else : raise TypeError ( 'type %s not supported' % str ( type ( other ) ) )
x.__rdiv__(y) <=> y/x

        Only `NDArray` is supported for now.

        Example
        -------
        >>> x = mx.nd.ones((2,3))*3
        >>> y = mx.nd.ones((2,3))
        >>> x.__rdiv__(y).asnumpy()
        array([[ 0.33333334,  0.33333334,  0.33333334],
               [ 0.33333334,  0.33333334,  0.33333334]], dtype=float32)