class_docstr: Affine warp constraints class.
  
  `AffineWarpConstraints` allow for
  very succinct definitions of constraints on
  the values of entries in affine transform matrices.
docstr: Combines two sets of constraints into a coherent single set.
docstr_tok: ["Combines","two","sets","of","constraints","into","a","coherent","single","set","."]
code: def __and__(self, rhs):
      """Combines two sets of constraints into a coherent single set."""
      return self.combine_with(rhs)
  
imports: from __future__ import absolute_import, division, print_function
  from itertools import chain
  import numpy
  import tensorflow
  from niftynet.layer.base_layer import Layer, LayerFromCallable, Invertible
label_desc: Use image node_id 8 for calling the AffineWarpConstraints obj's underlying member method code with example usage: obj.__and__(rhs) and returns: self