<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def create_pairwise_gaussian(sdims, shape):
 """ Util function that create pairwise gaussian potentials. This works for all image dimensions. For the 2D case does the same as `DenseCRF2D.addPairwiseGaussian`. Parameters sdims: list or tuple The scaling factors per dimension. This is referred to `sxy` in `DenseCRF2D.addPairwiseGaussian`. shape: list or tuple The shape the CRF has. """

    # create mesh
    hcord_range = [range(s) for s in shape]
    mesh = np.array(np.meshgrid(*hcord_range, indexing='ij'), dtype=np.float32)

    # scale mesh accordingly
    for i, s in enumerate(sdims):
        mesh[i] /= s
    return mesh.reshape([len(sdims), -1])