code: def _AssumeInsideKfp(
      self,
      namespace="my-namespace",
      pod_name="my-pod-name",
      pod_uid="my-pod-uid",
      pod_service_account_name="my-service-account-name",
      with_pvc=False,
  ):
      pod = k8s_client.V1Pod(
          api_version="v1",
          kind="Pod",
          metadata=k8s_client.V1ObjectMeta(
              name=pod_name,
              uid=pod_uid,
          ),
          spec=k8s_client.V1PodSpec(
              containers=[
                  k8s_client.V1Container(name="main", volume_mounts=[]),
              ],
              volumes=[],
          ),
      )
  
      if with_pvc:
          pod.spec.volumes.append(
              k8s_client.V1Volume(
                  name="my-volume",
                  persistent_volume_claim=k8s_client.V1PersistentVolumeClaimVolumeSource(
                      claim_name="my-pvc"
                  ),
              )
          )
          pod.spec.containers[0].volume_mounts.append(
              k8s_client.V1VolumeMount(
                  name="my-volume", mount_path=self._base_dir
              )
          )
  
      mock.patch.object(
          kube_utils, "is_inside_kfp", return_value=True
      ).start()
      pod.spec.service_account_name = pod_service_account_name
      mock.patch.object(
          kube_utils, "get_current_kfp_pod", return_value=pod
      ).start()
      mock.patch.object(
          kube_utils, "get_kfp_namespace", return_value=namespace
      ).start()
      if with_pvc:
          (
              self._mock_core_v1_api.read_namespaced_persistent_volume_claim.return_value
          ) = k8s_client.V1PersistentVolumeClaim(
              metadata=k8s_client.V1ObjectMeta(name="my-pvc"),
              spec=k8s_client.V1PersistentVolumeClaimSpec(
                  access_modes=["ReadWriteMany"]
              ),
          )
  
imports: import os
  from typing import Any, Dict
  from unittest import mock
  from kubernetes import client
  from kubernetes.client import rest
  import tensorflow
  from tfx.components.infra_validator import error_types
  from tfx.components.infra_validator import serving_bins
  from tfx.components.infra_validator.model_server_runners import kubernetes_runner
  from tfx.proto import infra_validator_pb2
  from tfx.types import standard_artifacts
  from tfx.utils import kube_utils
  from tfx.utils import path_utils
  from google.protobuf import json_format
label_desc: Use image node_id 3 for calling the KubernetesRunnerTest obj's underlying member method code with example usage: obj._AssumeInsideKfp(namespace, pod_name, pod_uid, pod_service_account_name, with_pvc) without return types