}

// TargetList - holds list of targets indexed by target ID.
type TargetList struct {
	sync.RWMutex
	targets map[TargetID]Target
}

// Add - adds unique target to target list.
func (list *TargetList) Add(targets ...Target) error {
	list.Lock()
	defer list.Unlock()

	for _, target := range targets {
		if _, ok := list.targets[target.ID()]; ok {
			return fmt.Errorf("target %v already exists", target.ID())
		}

	targetSet TargetIDSet
}

// Add - adds unique target to target list.
func (list *TargetList) Add(targets ...Target) error {
	list.Lock()
	defer list.Unlock()

	for _, target := range targets {
		if _, ok := list.targets[target.ID()]; ok {
			return fmt.Errorf("target %v already exists", target.ID())
		}
		list.targets[target.ID()] = target
	}

	return nil
}

  for (int i = 0; i < noutputs; ++i) {
    output_names[i] = c_output_names[i];
  }
  std::vector<string> target_oper_names(ntargets);
  for (int i = 0; i < ntargets; ++i) {
    target_oper_names[i] = c_target_oper_names[i];
  }
  TF_Run_Helper(s->session, nullptr, run_options, input_pairs, output_names,
                c_outputs, target_oper_names, run_metadata, status);
}

void TF_PRunSetup(TF_DeprecatedSession* s,

    const TF_Output* inputs, TF_Tensor* const* input_values, int ninputs,
    // Output tensors
    const TF_Output* outputs, TF_Tensor** output_values, int noutputs,
    // Target operations
    const TF_Operation* const* target_opers, int ntargets,
    // RunMetadata
    TF_Buffer* run_metadata,
    // Output status
    TF_Status*);

// Set up the graph with the intended feeds (inputs) and fetches (outputs) for a

                // output related parameters
                /*outputs*/ &output, /*output_values*/ &ret,
                /*noutputs*/ 1,
                /*targets*/ nullptr, /*ntargets*/ 0,
                /*run_metadata*/ nullptr, status);
  if (VLOG_IS_ON(1) && status->status.ok()) {
    tensorflow::Tensor tensor;
    if (tensorflow::TF_TensorToTensor(ret, &tensor).ok()) {

	}
	return tgts, errs
}

// Split targets into two groups:
//
//	group1 contains all targets of type t
//	group2 contains the remaining targets
func splitTargets(targets []Target, t types.TargetType) (group1 []Target, group2 []Target) {
	for _, target := range targets {
		if target.Type() == t {
			group1 = append(group1, target)
		} else {
			group2 = append(group2, target)
		}
	}
	return
}

		if target.SourceBucket == bucket &&
			target.TargetBucket == bucket &&
			target.Endpoint == ep.Host &&
			target.Secure == (ep.Scheme == "https") &&
			target.Type == madmin.ReplicationService {
			return target.Arn
		}
	}
	return ""
}

// generate ARN that is unique to this target type
func generateARN(t *madmin.BucketTarget, deplID string) string {
	uuid := deplID
	if uuid == "" {
		uuid = mustGetUUID()

			}
			targets = append(targets, t)
		}
	case config.NotifyNSQSubSys:
		nsqTargets, err := GetNotifyNSQ(cfg[config.NotifyNSQSubSys])
		if err != nil {
			return nil, err
		}
		for id, args := range nsqTargets {
			if !args.Enable {
				continue
			}
			t, err := target.NewNSQTarget(id, args, logOnceIf)
			if err != nil {
				return nil, err
			}
			targets = append(targets, t)
		}

  | sort -u
}

# Verify that, given a build target and a license-list generator target, all of
# the dependencies of that target which include a license notice file are then
# included when generating that license. Necessary because the license targets
# in TensorFlow are manually enumerated rather than generated automatically.
do_external_licenses_check(){
  BUILD_TARGET="$1"
  LICENSES_TARGET="$2"

EOF

  # Get the full list of files and targets which get included into the pip
  # package
  bazel cquery --keep_going 'deps(//tensorflow/tools/pip_package:wheel)' | sort -u > $BATS_TEST_TMPDIR/pip_deps
  # Find all Python py_test targets not tagged "no_pip" or "manual", excluding
  # any targets in ignored packages. Combine this list of targets into a bazel
  # query list (e.g. the list becomes "target+target2+target3")