class_docstr: Tests correctness of addition with combinations of a few Adders.
  
  Tests here are done with the _DEFAULT_ADDITION_TIERS, which means
  add_operators should reduce all operators resulting in one single operator.
  
  This shows that we are able to correctly combine adders using the tiered
  system.  All Adders should be tested separately, and there is no need to test
  every Adder within this class.
class_docstr_tok: ["Tests","correctness","of","addition","with","combinations","of","a","few","Adders",".","Tests","here","are","done","with","the","_DEFAULT_ADDITION_TIERS",",","which","means","add_operators","should","reduce","all","operators","resulting","in","one","single","operator",".","This","shows","that","we","are","able","to","correctly","combine","adders","using","the","tiered","system",".","All","Adders","should","be","tested","separately",",","and","there","is","no","need","to","test","every","Adder","within","this","class","."]
code: def test_attempting_to_add_numbers_raises(self):
      with self.assertRaisesRegex(
          TypeError, "contain only LinearOperator"
      ):
          add_operators([1, 2])
  
imports: import numpy
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops.linalg import linalg
  from tensorflow.python.ops.linalg import linear_operator_addition
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the LinearOperatorAdditionCorrectnessTest obj's underlying member method code with example usage: obj.test_attempting_to_add_numbers_raises() without return types