// TotalWeight is the aggregated edge weights across the profile. This
	// helps us determine the percentage threshold for hot/cold
	// partitioning.
	TotalWeight int64

	// NamedEdgeMap contains all unique call edges in the profile and their
	// edge weight.
	NamedEdgeMap NamedEdgeMap
}

// NamedCallEdge identifies a call edge by linker symbol names and call site
// offset.
type NamedCallEdge struct {
	CallerName     string

// Copyright 2015 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package ssa

// critical splits critical edges (those that go from a block with
// more than one outedge to a block with more than one inedge).
// Regalloc wants a critical-edge-free CFG so it can implement phi values.
func critical(f *Func) {

    return new AbstractGraph<N>() {
      @Override
      public Set<N> nodes() {
        return AbstractValueGraph.this.nodes();
      }

      @Override
      public Set<EndpointPair<N>> edges() {
        return AbstractValueGraph.this.edges();
      }

      @Override
      public boolean isDirected() {
        return AbstractValueGraph.this.isDirected();
      }

      @Override
      public boolean allowsSelfLoops() {

  repository(name: "fastapi", owner: "tiangolo") {
    discussions(categoryId: $category_id, first: 100) {
      nodes {
        title
        id
        number
        labels(first: 10) {
          edges {
            node {
              id
              name
            }
          }
        }
      }
    }
  }
}
"""

translation_discussion_query = """

    }

    public HashCode getHash() {
        return hash;
    }

    /**
     * Were any edges in the include file graph unable to be resolved?
     */
    public boolean isHasUnresolved() {
        return hasUnresolved;
    }

    /**
     * The set of successfully resolved edges in the include file graph.
     */
    public ImmutableSet<IncludeFileEdge> getEdges() {
        return resolvedIncludes;

        override fun toString() = "ø"
    }

    data class Label(val label: String) : CompactTree() {
        override fun toString() = label
    }

    data class Branch(val edges: List<CompactTree>) : CompactTree() {
        override fun toString() = edges.joinToString(separator = ", ", prefix = "{", postfix = "}")
    }

    data class Edge(val label: Label, val tree: CompactTree) : CompactTree() {

func mustParse(t *testing.T, dag string) *Graph {
	t.Helper()
	g, err := Parse(dag)
	if err != nil {
		t.Fatal(err)
	}
	return g
}

func wantEdges(t *testing.T, g *Graph, edges string) {
	t.Helper()

	wantEdges := strings.Fields(edges)
	wantEdgeMap := make(map[string]bool)
	for _, e := range wantEdges {
		wantEdgeMap[e] = true
	}

	for _, n1 := range g.Nodes {
		for _, n2 := range g.Nodes {

}

// edgeEntropyScore computes the entropy value for a set of edges
// coming in or out of a node. Entropy (as defined in information
// theory) refers to the amount of information encoded by the set of
// edges. A set of edges that have a more interesting distribution of
// samples gets a higher score.
func edgeEntropyScore(n *Node, edges EdgeMap, self int64) float64 {
	score := float64(0)
	total := self

        List<MetadataGraphEdge> edges = getIncidentEdges(vTo);
        if (edges == null || edges.isEmpty()) {
            return null;
        }

        List<MetadataGraphEdge> res = new ArrayList<>(edges.size());

        for (MetadataGraphEdge e : edges) {
            if (e.getSource().equals(vFrom)) {
                res.add(e);
            }

  // * replace edges to "Enter" nodes, and edges from "Exit" nodes with edges
  //   to/from the corresponding frame node. In essence, we collapse the loop
  //   into a single node for the purpose of cycle detection in the enclosing
  //   graph.
  // * the body of the loop should now be disconnected from the rest of the
  //   graph; we make it acyclic by breaking loop backedges (edges outgoing from
  //   "NextIteration" nodes.