package dag

import (
	"cmp"
	"fmt"
	"slices"
	"strings"
)

type Graph struct {
	Nodes   []string
	byLabel map[string]int
	edges   map[string]map[string]bool
}

func newGraph() *Graph {
	return &Graph{byLabel: map[string]int{}, edges: map[string]map[string]bool{}}
}

func (g *Graph) addNode(label string) bool {
	if _, ok := g.byLabel[label]; ok {
		return false
	}

	}

	if unit != "" {
		o.OutputUnit = unit
	} else {
		o.OutputUnit = o.SampleUnit
	}
}

// newGraph creates a new graph for this report. If nodes is non-nil,
// only nodes whose info matches are included. Otherwise, all nodes
// are included, without trimming.
func (rpt *Report) newGraph(nodes graph.NodeSet) *graph.Graph {
	o := rpt.options

	// Clean up file paths using heuristics.
	prof := rpt.prof

func New(prof *profile.Profile, o *Options) *Graph {
	if o.CallTree {
		return newTree(prof, o)
	}
	g, _ := newGraph(prof, o)
	return g
}

// newGraph computes a graph from a profile. It returns the graph, and
// a map from the profile location indices to the corresponding graph
// nodes.
func newGraph(prof *profile.Profile, o *Options) (*Graph, map[uint64]Nodes) {
	nodes, locationMap := CreateNodes(prof, o)

  TFE_DeleteContext(ctx);
}

// This tests running the "serving_default" SignatureDefFunction from the
// VarsAndArithmeticObjectGraph savedmodel. Here's what the signature_defs
// protobuf in the metagraph looks like:
// signature_def: {
//   key  : "serving_default"
//   value: {
//     inputs: {
//       key  : "a"
//       value: {
//         name : "serving_default_a:0"
//         dtype: DT_FLOAT

    /**
     * Creates an adapter for a single object graph. Each object adapted by the returned adapter is treated as part of the same object graph, for the purposes of caching etc.
     */
    public ObjectGraphAdapter newGraph() {
        final ViewGraphDetails graphDetails = new ViewGraphDetails(targetTypeProvider);
        return new ObjectGraphAdapter() {
            @Override

			// from the go.work file and preserve the invariant that all
			// of rs.rootModules are in mg.g.
			roots = rs.rootModules
		}
		mg := &ModuleGraph{
			g: mvs.NewGraph(cmpVersion, roots),
		}

		if rs.pruning == pruned {
			mainModule := MainModules.mustGetSingleMainModule()
			// The roots of a single pruned module should already include every module in the

// The sources are sorted by function name and then by filename to
// eliminate potential nondeterminism.
func printSource(w io.Writer, rpt *Report) error {
	o := rpt.options
	g := rpt.newGraph(nil)

	// Identify all the functions that match the regexp provided.
	// Group nodes for each matching function.
	var functions graph.Nodes
	functionNodes := make(map[string]graph.Nodes)
	for _, n := range g.Nodes {

*   We released a new open-source version of TensorBoard.

*   [`SavedModel CLI`](https://www.tensorflow.org/versions/master/guide/saved_model_cli)
    tool available to inspect and execute MetaGraph in SavedModel

*   Android releases of TensorFlow are now pushed to jcenter for easier
    integration into apps. See