class_docstr: A class that models and constructs operations in a graph.
  
  A `Op` instance has several responsibilities:
  
  * construct `Apply` nodes via :meth:`Op.make_node` method,
  * perform the numeric calculation of the modeled operation via the
    :meth:`Op.perform` method,
  * and (optionally) build the gradient-calculating sub-graphs via the
    :meth:`Op.grad` method.
  
  To see how `Op`, `Type`, `Variable`, and `Apply` fit together see the
  page on :doc:`graph`.
  
  For more details regarding how these methods should behave: see the `Op
  Contract` in the sphinx docs (advanced tutorial on `Op` making).
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docstr: Construct a graph for the R-operator.
  
  This method is primarily used by `Rop`.
  
  Parameters
  ----------
  inputs
      The `Op` inputs.
  eval_points
      A `Variable` or list of `Variable`\s with the same length as inputs.
      Each element of `eval_points` specifies the value of the corresponding
      input at the point where the R-operator is to be evaluated.
  
  Returns
  -------
  ``rval[i]`` should be ``Rop(f=f_i(inputs), wrt=inputs, eval_points=eval_points)``.
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code: def R_op(
      self,
      inputs: list[Variable],
      eval_points: Union[Variable, list[Variable]],
  ) -> list[Variable]:
      r"""Construct a graph for the R-operator.
  
      This method is primarily used by `Rop`.
  
      Parameters
      ----------
      inputs
          The `Op` inputs.
      eval_points
          A `Variable` or list of `Variable`\s with the same length as inputs.
          Each element of `eval_points` specifies the value of the corresponding
          input at the point where the R-operator is to be evaluated.
  
      Returns
      -------
      ``rval[i]`` should be ``Rop(f=f_i(inputs), wrt=inputs, eval_points=eval_points)``.
  
      """
      raise NotImplementedError()
  
imports: import copy
  import sys
  import warnings
  from abc import ABC, abstractmethod
  from collections.abc import Sequence
  from typing import TYPE_CHECKING, Any, Callable, Optional, Protocol, TypeVar, Union, cast
  import pytensor
  from pytensor.configdefaults import config
  from pytensor.graph.basic import Apply, Variable
  from pytensor.graph.utils import MetaObject, TestValueError, add_tag_trace, get_variable_trace_string
label_desc: Use image node_id 6 for calling the Op obj's underlying member method code with example usage: obj.R_op(inputs, eval_points) without return types