Edges() []_Edge
}

// _EdgeC is the constraints on an edge in a graph, given the _Node type.
type _EdgeC[_Node any] interface {
	comparable
	Nodes() (a, b _Node)
}

// _New creates a new _Graph from a collection of Nodes.
func _New[_Node _NodeC[_Edge], _Edge _EdgeC[_Node]](nodes []_Node) *_Graph[_Node, _Edge] {
	return &_Graph[_Node, _Edge]{nodes: nodes}
}

// nodePath holds the path to a node during ShortestPath.

    tags: Collection[str],
    representative_dataset_map: rd.RepresentativeDatasetMapping,
) -> None:
  """Runs the graph for calibration in graph mode.

  This function assumes _graph mode_ (used when legacy TF1 is used or when eager
  mode is explicitly disabled) when running the graph. This step is used in
  order to collect the statistics in CustomAggregatorOp for quantization using

import java.util.List;
import java.util.Map;
import java.util.Set;

class Graph {

    final Map<String, Set<String>> graph = new LinkedHashMap<>();

    synchronized void addEdge(String from, String to) throws CycleDetectedException {
        if (graph.computeIfAbsent(from, l -> new HashSet<>()).add(to)) {
            List<String> cycle = visitCycle(graph, Collections.singleton(to), new HashMap<>(), new LinkedList<>());

}

// destinationEdge is a graph edge that includes a denormalized reference to the final destination vertex.
// This should only be used when there is a single leaf vertex reachable from T.
type destinationEdge struct {
	F           graph.Node
	T           graph.Node
	Destination graph.Node
}

func newDestinationEdge(from, to, destination graph.Node) graph.Edge {

# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -tf-graph-as-function | tf-mlir-translate -mlir-tf-graph-to-hlo-text -tf-input-shapes='' -tf-input-data-types=DT_FLOAT -tf-xla-emit-return-tuple | FileCheck %s

node {
  name: "arg"
  op: "_Arg"
  attr {
    key: "T"
    value {
      type: DT_FLOAT
    }
  }
  attr {
    key: "index"
    value {
      i: 0
    }
  }
}
node {

 * MutableGraph<Integer> graph = GraphBuilder.undirected().build();
 * }</pre>
 *
 * <p>{@link GraphBuilder#build()} returns an instance of {@link MutableGraph}, which is a subtype
 * of {@code Graph} that provides methods for adding and removing nodes and edges. If you do not
 * need to mutate a graph (e.g. if you write a method than runs a read-only algorithm on the graph),

 * MutableGraph<Integer> graph = GraphBuilder.undirected().build();
 * }</pre>
 *
 * <p>{@link GraphBuilder#build()} returns an instance of {@link MutableGraph}, which is a subtype
 * of {@code Graph} that provides methods for adding and removing nodes and edges. If you do not
 * need to mutate a graph (e.g. if you write a method than runs a read-only algorithm on the graph),

 */
package org.apache.maven.model.building;

import java.util.*;

class Graph {

    final Map<String, Set<String>> graph = new LinkedHashMap<>();

    synchronized void addEdge(String from, String to) throws CycleDetectedException {
        if (graph.computeIfAbsent(from, l -> new HashSet<>()).add(to)) {
            List<String> cycle = visitCycle(graph, Collections.singleton(to), new HashMap<>(), new LinkedList<>());

Graph prints the module requirement graph (with replacements applied)
in text form. Each line in the output has two space-separated fields: a module
and one of its requirements. Each module is identified as a string of the form
path@version, except for the main module, which has no @version suffix.

The -go flag causes graph to report the module graph as loaded by the
given Go version, instead of the version indicated by the 'go' directive

}

// New summarizes performance data from a profile into a graph.
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.