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trivial: Fix spelling errors
- Fixes some spelling in code comments and a couple of function names
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@@ -141,7 +141,7 @@ type Agent struct {
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// time.
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chanOpenFailures chan *chanOpenFailureUpdate
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// heuristicUpdates is a channel where updates from active heurstics
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// heuristicUpdates is a channel where updates from active heuristics
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// will be sent.
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heuristicUpdates chan *heuristicUpdate
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@@ -31,7 +31,7 @@ type AgentConstraints interface {
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MaxChanSize() btcutil.Amount
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}
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// agenConstraints is an implementation of the AgentConstraints interface that
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// agentConstraints is an implementation of the AgentConstraints interface that
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// indicate the constraints the autopilot agent must adhere to when opening
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// channels.
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type agentConstraints struct {
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@@ -293,7 +293,7 @@ func (m *Manager) queryHeuristics(nodes map[NodeID]struct{}, localState bool) (
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HeuristicScores, error) {
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// If we want to take the local state into action when querying the
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// heuristics, we fetch it. If not we'll just pass an emply slice to
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// heuristics, we fetch it. If not we'll just pass an empty slice to
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// the heuristic.
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var totalChans []LocalChannel
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var err error
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@@ -7,7 +7,7 @@ package autopilot
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// where 0 is maximally costly.
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const diameterCutoff = 0.75
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// SimpleGraph stores a simplifed adj graph of a channel graph to speed
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// SimpleGraph stores a simplified adj graph of a channel graph to speed
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// up graph processing by eliminating all unnecessary hashing and map access.
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type SimpleGraph struct {
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// Nodes is a map from node index to NodeID.
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@@ -26,7 +26,7 @@ func NewSimpleGraph(g ChannelGraph) (*SimpleGraph, error) {
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nextIndex := 0
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// getNodeIndex returns the integer index of the passed node.
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// The returned index is then used to create a simplifed adjacency list
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// The returned index is then used to create a simplified adjacency list
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// where each node is identified by its index instead of its pubkey, and
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// also to create a mapping from node index to node pubkey.
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getNodeIndex := func(node Node) int {
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@@ -66,7 +66,7 @@ func testTopCentrality(t *testing.T, graph testGraph,
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}
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}
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// TestTopCentrality tests that we return the correct normalized centralitiy
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// TestTopCentrality tests that we return the correct normalized centrality
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// values given a non empty graph, and given our node has an increasing amount
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// of channels from 0 to N-1 simulating the whole range from non-connected to
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// fully connected.
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