ResetOutputValues();
  outputs_ = outputs;
  output_values_.resize(outputs_.size());
}

void CSession::SetTargets(std::initializer_list<TF_Operation*> targets) {
  targets_.clear();
  for (TF_Operation* t : targets) {
    targets_.emplace_back(t);
  }
}

void CSession::Run(TF_Status* s) {
  if (inputs_.size() != input_values_.size()) {
    ADD_FAILURE() << "Call SetInputs() before Run()";

  TF_Session* session_;
  std::vector<TF_Output> inputs_;
  std::vector<TF_Tensor*> input_values_;
  std::vector<TF_Output> outputs_;
  std::vector<TF_Tensor*> output_values_;
  std::vector<TF_Operation*> targets_;
};

	for id := range targetIDSet {
		target, ok := list.targets[id]
		if ok {
			target.Close()
			delete(list.targets, id)
		}
	}
}

// Targets - list all targets
func (list *TargetList) Targets() []Target {
	if list == nil {
		return []Target{}
	}

	list.RLock()
	defer list.RUnlock()

	targets := []Target{}
	for _, tgt := range list.targets {
		targets = append(targets, tgt)
	}

//	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
}

func cancelTargets(targets []Target) {
	for _, target := range targets {
		go target.Cancel()
	}
}

	"fmt"
	"strings"
)

// TargetID - holds identification and name strings of notification target.
type TargetID struct {
	ID   string
	Name string
}

// String - returns string representation.
func (tid TargetID) String() string {
	return tid.ID + ":" + tid.Name
}

// ToARN - converts to ARN.
func (tid TargetID) ToARN(region string) ARN {
	return ARN{TargetID: tid, region: region}
}

	"fmt"
	"strings"
)

// TargetID - holds identification and name strings of notification target.
type TargetID struct {
	ID   string
	Name string
}

// String - returns string representation.
func (tid TargetID) String() string {
	return tid.ID + ":" + tid.Name
}

// ToARN - converts to ARN.
func (tid TargetID) ToARN(region string) ARN {
	return ARN{TargetID: tid, region: region}
}

		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()

		target, ok := list.targets[id]
		if ok {
			target.Close()
			delete(list.targets, id)
		}
	}
}

// Targets - list all targets
func (list *TargetList) Targets() []Target {
	if list == nil {
		return []Target{}
	}

	list.RLock()
	defer list.RUnlock()

	targets := make([]Target, 0, len(list.targets))
	for _, tgt := range list.targets {
		targets = append(targets, tgt)

        if (target1 == null || target2 == null) {
            return false;
        }
        final int length1 = target1.length();
        final int length2 = target2.length();
        if (length1 < length2) {
            return false;
        }
        final String s1 = target1.substring(0, target2.length());
        return s1.equalsIgnoreCase(target2);
    }

    /**

EOF

  # Get the full list of files and targets which get included into the pip
  # package
  bazel query --keep_going 'deps(//tensorflow/tools/pip_package:build_pip_package)' | 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