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,
  ):
      shape = list(build_info.shape)
  
      matrix = (
          linear_operator_test_util.random_positive_definite_matrix(
              shape, dtype
          )
      )
  
      lin_op_matrix = matrix
  
      if use_placeholder:
          lin_op_matrix = array_ops.placeholder_with_default(
              matrix, shape=None
          )
  
      # Set the hints to none to test non-symmetric PD code paths.
      operator = linalg.LinearOperatorFullMatrix(
          lin_op_matrix,
          is_square=True,
          is_self_adjoint=True if ensure_self_adjoint_and_pd else None,
          is_positive_definite=True
          if ensure_self_adjoint_and_pd
          else None,
      )
  
      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 SquareLinearOperatorFullMatrixTest 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