"and will trigger an error in the future. Either don't modify "
          "nodes after running them or create a new session.");
    }
  }
}

namespace {

// Helper method that creates a shape handle for a shape described by dims.
tensorflow::shape_inference::ShapeHandle ShapeHandleFromDims(
    tensorflow::shape_inference::InferenceContext* ic, int num_dims,
    const int64_t* dims) {

				gofiles[i] = coverFile
			} else {
				cgofiles[i-len(gofiles)] = coverFile
			}
		}

		if cfg.Experiment.CoverageRedesign {
			if len(infiles) != 0 {
				// Coverage instrumentation creates new top level
				// variables in the target package for things like
				// meta-data containers, counter vars, etc. To avoid
				// collisions with user variables, suffix the var name

	NodeStartupLatencyTracker util.NodeStartupLatencyTracker
	// remove it after cadvisor.UsingLegacyCadvisorStats dropped.
	useLegacyCadvisorStats bool
}

// makePodSourceConfig creates a config.PodConfig from the given
// KubeletConfiguration or returns an error.

			rev2 := newRevisionOrDie(set2, 3)
			tests := []testcase{
				{
					name:            "creates initial revision",
					existing:        nil,
					set:             set,
					expectedCount:   1,
					expectedCurrent: rev0,
					expectedUpdate:  rev0,
					err:             false,
				},
				{
					name:            "creates revision on update",
					existing:        []*apps.ControllerRevision{rev0},

  if (shape.has_value())
    return tensorflow::GetTypeFromTFTensorShape(shape.value(), element_type);
  return UnrankedTensorType::get(element_type);
}

// Returns true if the op creates a TensorList.
bool IsTensorListInitOp(Operation* op) {
  return isa<TensorListReserveOp>(op) || isa<EmptyTensorListOp>(op) ||
         isa<TensorListFromTensorOp>(op);
}

      if [[ "${opformat,,}" == "${format,,}" && "${opinterface,,}" == "${interface,,}" ]]; then
        localdisknum=$((localdisknum+opnum))
      fi
    done
  fi
}

# Creates a symlink for a ($1) so that it may be used as block storage
function safe-block-symlink(){
  local device="${1}"
  local symdir="${2}"

  mkdir -p "${symdir}"

  get-or-generate-uuid "${device}"

            }
            dependencies {
                compile 'test:test:1.3:foo'
                compile 'test:test:1.3:bar'
            }

            /*
             * This transform creates a name that is independent of
             * the original file name, thus losing the classifier that
             * was encoded in it.
             */

// in GOPATH mode, and modload.loaded (accessed via modload.Lookup) may be
// modified by modload.LoadPackages.
type preload struct {
	cancel chan struct{}
	sema   chan struct{}
}

// newPreload creates a new preloader. flush must be called later to avoid
// accessing global state while it is being modified.
func newPreload() *preload {
	pre := &preload{
		cancel: make(chan struct{}),

    gcloud compute instances add-access-config "${NAME}" \
      --project "${PROJECT}" --zone "${ZONE}" \
      --access-config-name "${ACCESS_CONFIG_NAME}" \
      --address "${IP_ADDR}"
  fi
}

# Creates load balancer in front of apiserver if it doesn't exists already. Assumes there's only one
# existing master replica.
#
# Assumes:
#   PROJECT
#   MASTER_NAME
#   ZONE
#   REGION

      """

      out = math_ops.matmul(input_tensor, self.filters)
      return {'output': out}

  def _simple_model_data_gen(self) -> repr_dataset.RepresentativeDataset:
    """Creates an interable of representative samples.

    Yields:
      Representative samples, which is basically a mapping of: input key ->
      input value.
    """
    for _ in range(8):
      yield {