{
                "$ref": "#/components/schemas/io.k8s.apimachinery.pkg.runtime.RawExtension"
              }
            ],
            "description": "Object is:\n * If Type is Added or Modified: the new state of the object.\n * If Type is Deleted: the state of the object immediately before deletion.\n * If Type is Error: *Status is recommended; other types may make sense\n   depending on context."
          },

the status of the ControllerModifyVolume operation. It can be in any of following states:\n - Pending\n   Pending indicates that the PersistentVolumeClaim cannot be modified due to unmet requirements, such as\n   the specified VolumeAttributesClass not existing.\n - InProgress\n   InProgress indicates that the volume is being modified.\n - Infeasible\n  Infeasible indicates that the request has been rejected as invalid by the CSI driver. To\n\t  resolve the error, a valid VolumeAttributesClass needs...

                  the controller first sees the policy and SHOULD update the entry as
                  appropriate when the relevant ancestor is modified.


                  Note that choosing the relevant ancestor is left to the Policy designers;
                  an important part of Policy design is designing the right object level at

		}
		if diff := cmp.Diff(originalNewPV, scenario.newPV); len(diff) > 0 {
			t.Errorf("newPV was modified: %s", diff)
		}
		if diff := cmp.Diff(originalOldPV, scenario.oldPV); len(diff) > 0 {
			t.Errorf("oldPV was modified: %s", diff)
		}
	}
}

func TestValidatePeristentVolumeAttributesClassUpdate(t *testing.T) {
	scenarios := map[string]struct {

        `axis` args.
    *   Update `tf.map_fn` to support RaggedTensors and SparseTensors.
    *   Deprecate `tf.group`. It is not useful in eager mode.
    *   Add CPU and GPU implementation of modified variation of
        [`FTRL`](https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/ApplyFtrl)/[`FTRLV2`](https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/ApplyFtrlV2)

  let summary = [{
Holds state in the form of a tensor that persists across steps.
  }];

  let description = [{
Outputs a ref to the tensor state so it may be read or modified.
TODO(zhifengc/mrry): Adds a pointer to a more detail document
about sharing states in tensorflow.
  }];

  let arguments = (ins
    TF_ShapeAttr:$shape,