class_docstr: Most tests done in the base class LinearOperatorDerivedClassTest.
class_docstr_tok: ["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)
      diag = linear_operator_test_util.random_sign_uniform(
          shape[:-1], minval=1.0, maxval=2.0, dtype=dtype
      )
  
      if ensure_self_adjoint_and_pd:
          # Abs on complex64 will result in a float32, so we cast back up.
          diag = math_ops.cast(math_ops.abs(diag), dtype=dtype)
  
      lin_op_diag = diag
  
      if use_placeholder:
          lin_op_diag = array_ops.placeholder_with_default(
              diag, shape=None
          )
  
      operator = linalg.LinearOperatorDiag(
          lin_op_diag,
          is_self_adjoint=True if ensure_self_adjoint_and_pd else None,
          is_positive_definite=True
          if ensure_self_adjoint_and_pd
          else None,
      )
  
      matrix = array_ops.matrix_diag(diag)
  
      return operator, matrix
  
imports: from tensorflow.python.framework import config
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_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 4 for calling the LinearOperatorDiagTest 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