to do with this creature when I get it home?' when it grunted
again, so violently, that she looked down into its face in some
alarm.  This time there could be NO mistake about it:  it was
neither more nor less than a pig, and she felt that it would be
quite absurd for her to carry it further.

  So she set the little creature down, and felt quite relieved to

	}
	t := typ.common()
	ch := makechan(t, buffer)
	return Value{t, ch, flag(Chan)}
}

// MakeMap creates a new map with the specified type.
func MakeMap(typ Type) Value {
	return MakeMapWithSize(typ, 0)
}

// MakeMapWithSize creates a new map with the specified type
// and initial space for approximately n elements.
func MakeMapWithSize(typ Type, n int) Value {

// this map.
using FeedsByNode = absl::flat_hash_map<
    absl::string_view,
    absl::flat_hash_map<int, const std::pair<std::string, ArrayInfo>*>>;

// Creates from a `GraphImportConfig::InputArrays` a mapping from a feeds output
// tensor name to index and ArrayInfo. Keys and values are backed by
// `GraphImportConfig::InputArrays`.
absl::StatusOr<FeedsByNode> GetFeedsByNode(

          "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.
             */