class_docstr: Most tests done in the base class LinearOperatorDerivedClassTest.
code: def operator_and_matrix(
      self,
      build_info,
      dtype,
      use_placeholder,
      ensure_self_adjoint_and_pd=False,
  ):
      del ensure_self_adjoint_and_pd
      shape = list(build_info.shape)
      matrix = linear_operator_test_util.random_normal(
          shape, dtype=dtype
      )
  
      lin_op_matrix = matrix
  
      if use_placeholder:
          lin_op_matrix = array_ops.placeholder_with_default(
              matrix, shape=None
          )
  
      operator = linalg.LinearOperatorFullMatrix(
          lin_op_matrix, is_square=True
      )
  
      return operator, matrix
  
imports: import numpy
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.linalg import linalg
  from tensorflow.python.ops.linalg import linear_operator_test_util
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the NonSquareLinearOperatorFullMatrixTest obj's underlying member method code with example usage: obj.operator_and_matrix(build_info, dtype, use_placeholder, ensure__adjoint_and_pd) and returns: operator,  matrix