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https://github.com/gonum/gonum.git
synced 2025-10-06 23:52:47 +08:00
all: make tests pass when -count is greater than 1
Tests run repeatedly do not reinitialise state, meaning that a second run of the tests will have leftover state from the previous run. This ensures that repeated runs are identical with the exception of map iteration order.
This commit is contained in:
@@ -17,7 +17,8 @@ type graphBuilder interface {
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graph.Builder
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}
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var copyTests = []struct {
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func TestCopy(t *testing.T) {
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copyTests := []struct {
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desc string
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src graph.Graph
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@@ -25,7 +26,7 @@ var copyTests = []struct {
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// If want is nil, compare to src.
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want graph.Graph
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}{
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}{
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{
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desc: "undirected to undirected",
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src: func() graph.Graph {
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@@ -121,9 +122,8 @@ var copyTests = []struct {
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}(),
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dst: simple.NewDirectedGraph(),
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},
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}
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}
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func TestCopy(t *testing.T) {
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for _, test := range copyTests {
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graph.Copy(test.dst, test.src)
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want := test.want
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@@ -141,7 +141,8 @@ type graphWeightedBuilder interface {
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graph.WeightedBuilder
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}
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var copyWeightedTests = []struct {
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func TestCopyWeighted(t *testing.T) {
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copyWeightedTests := []struct {
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desc string
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src graph.Weighted
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@@ -149,7 +150,7 @@ var copyWeightedTests = []struct {
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// If want is nil, compare to src.
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want graph.Graph
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}{
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}{
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{
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desc: "undirected to undirected",
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src: func() graph.Weighted {
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@@ -245,9 +246,8 @@ var copyWeightedTests = []struct {
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}(),
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dst: simple.NewWeightedDirectedGraph(0, 0),
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},
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}
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}
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func TestCopyWeighted(t *testing.T) {
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for _, test := range copyWeightedTests {
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graph.CopyWeighted(test.dst, test.src)
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want := test.want
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@@ -19,12 +19,13 @@ import (
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. "gonum.org/v1/gonum/graph/layout"
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)
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var eadesR2Tests = []struct {
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func TestEadesR2(t *testing.T) {
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eadesR2Tests := []struct {
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name string
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g graph.Graph
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param EadesR2
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wantIters int
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}{
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}{
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{
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name: "line",
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g: func() graph.Graph {
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@@ -194,9 +195,8 @@ var eadesR2Tests = []struct {
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param: EadesR2{Repulsion: 1, Rate: 0.1, Updates: 100, Theta: 0.1, Src: rand.NewSource(1)},
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wantIters: 100,
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},
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}
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}
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func TestEadesR2(t *testing.T) {
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for _, test := range eadesR2Tests {
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eades := test.param
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o := NewOptimizerR2(test.g, eades.Update)
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@@ -28,10 +28,11 @@ var (
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arch string
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)
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var isomapR2Tests = []struct {
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func TestIsomapR2(t *testing.T) {
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isomapR2Tests := []struct {
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name string
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g graph.Graph
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}{
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}{
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{
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name: "line_isomap",
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g: func() graph.Graph {
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@@ -157,9 +158,8 @@ var isomapR2Tests = []struct {
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return orderedGraph{g}
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}(),
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},
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}
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}
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func TestIsomapR2(t *testing.T) {
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for _, test := range isomapR2Tests {
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o := NewOptimizerR2(test.g, IsomapR2{}.Update)
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var n int
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@@ -21,11 +21,16 @@ import (
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// weightedlines
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// empty
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var nodesOfTests = []struct {
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type basicNodes struct {
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graph.Nodes
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}
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func TestNodesOf(t *testing.T) {
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nodesOfTests := []struct {
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name string
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nodes graph.Nodes
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want []graph.Node
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}{
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}{
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{
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name: "nil",
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nodes: nil,
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@@ -56,13 +61,8 @@ var nodesOfTests = []struct {
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nodes: iterator.NewOrderedNodes([]graph.Node{simple.Node(-1), simple.Node(0), simple.Node(1), simple.Node(2), simple.Node(3)}),
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want: []graph.Node{simple.Node(-1), simple.Node(0), simple.Node(1), simple.Node(2), simple.Node(3)},
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},
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}
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}
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type basicNodes struct {
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graph.Nodes
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}
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func TestNodesOf(t *testing.T) {
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for _, test := range nodesOfTests {
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got := graph.NodesOf(test.nodes)
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if !reflect.DeepEqual(got, test.want) {
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@@ -71,11 +71,16 @@ func TestNodesOf(t *testing.T) {
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}
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}
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var edgesOfTests = []struct {
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type basicEdges struct {
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graph.Edges
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}
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func TestEdgesOf(t *testing.T) {
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edgesOfTests := []struct {
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name string
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edges graph.Edges
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want []graph.Edge
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}{
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}{
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{
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name: "nil",
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edges: nil,
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@@ -117,13 +122,8 @@ var edgesOfTests = []struct {
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simple.Edge{F: simple.Node(3), T: simple.Node(4)},
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},
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},
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}
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}
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type basicEdges struct {
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graph.Edges
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}
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func TestEdgesOf(t *testing.T) {
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for _, test := range edgesOfTests {
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got := graph.EdgesOf(test.edges)
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if !reflect.DeepEqual(got, test.want) {
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@@ -132,11 +132,16 @@ func TestEdgesOf(t *testing.T) {
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}
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}
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var weightedEdgesOfTests = []struct {
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type basicWeightedEdges struct {
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graph.WeightedEdges
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}
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func TestWeightedEdgesOf(t *testing.T) {
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weightedEdgesOfTests := []struct {
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name string
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edges graph.WeightedEdges
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want []graph.WeightedEdge
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}{
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}{
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{
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name: "nil",
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edges: nil,
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@@ -178,13 +183,8 @@ var weightedEdgesOfTests = []struct {
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simple.WeightedEdge{F: simple.Node(3), T: simple.Node(4), W: 3},
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},
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},
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}
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}
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type basicWeightedEdges struct {
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graph.WeightedEdges
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}
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func TestWeightedEdgesOf(t *testing.T) {
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for _, test := range weightedEdgesOfTests {
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got := graph.WeightedEdgesOf(test.edges)
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if !reflect.DeepEqual(got, test.want) {
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@@ -193,11 +193,16 @@ func TestWeightedEdgesOf(t *testing.T) {
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}
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}
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var linesOfTests = []struct {
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type basicLines struct {
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graph.Lines
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}
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func TestLinesOf(t *testing.T) {
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linesOfTests := []struct {
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name string
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lines graph.Lines
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want []graph.Line
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}{
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}{
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{
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name: "nil",
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lines: nil,
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@@ -239,13 +244,8 @@ var linesOfTests = []struct {
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multi.Line{F: multi.Node(3), T: multi.Node(4), UID: 1},
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},
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},
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}
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}
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type basicLines struct {
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graph.Lines
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}
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func TestLinesOf(t *testing.T) {
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for _, test := range linesOfTests {
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got := graph.LinesOf(test.lines)
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if !reflect.DeepEqual(got, test.want) {
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@@ -254,11 +254,16 @@ func TestLinesOf(t *testing.T) {
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}
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}
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var weightedLinesOfTests = []struct {
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type basicWeightedLines struct {
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graph.WeightedLines
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}
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func TestWeightedLinesOf(t *testing.T) {
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weightedLinesOfTests := []struct {
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name string
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lines graph.WeightedLines
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want []graph.WeightedLine
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}{
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}{
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{
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name: "nil",
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lines: nil,
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@@ -300,13 +305,8 @@ var weightedLinesOfTests = []struct {
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multi.WeightedLine{F: multi.Node(3), T: multi.Node(4), W: 3, UID: 1},
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},
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},
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}
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}
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type basicWeightedLines struct {
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graph.WeightedLines
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}
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func TestWeightedLinesOf(t *testing.T) {
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for _, test := range weightedLinesOfTests {
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got := graph.WeightedLinesOf(test.lines)
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if !reflect.DeepEqual(got, test.want) {
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@@ -163,11 +163,12 @@ func TestMetropolisHastings(t *testing.T) {
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compareNormal(t, target, batch, nil, 5e-1, 5e-1)
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}
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// randomNormal constructs a random Normal distribution.
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// randomNormal constructs a random Normal distribution using the provided
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// random source.
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func randomNormal(dim int, src *rand.Rand) (*distmv.Normal, bool) {
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data := make([]float64, dim*dim)
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for i := range data {
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data[i] = rand.Float64()
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data[i] = src.Float64()
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}
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a := mat.NewDense(dim, dim, data)
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var sigma mat.SymDense
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@@ -180,6 +181,8 @@ func randomNormal(dim int, src *rand.Rand) (*distmv.Normal, bool) {
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}
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func compareNormal(t *testing.T, want *distmv.Normal, batch *mat.Dense, weights []float64, meanTol, covTol float64) {
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t.Helper()
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dim := want.Dim()
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mu := want.Mean(nil)
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var sigma mat.SymDense
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@@ -224,10 +227,11 @@ func TestMetropolisHastingser(t *testing.T) {
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{3, 103, 11, 51},
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{3, 103, 51, 11},
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} {
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src := rand.New(rand.NewSource(1))
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dim := test.dim
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initial := make([]float64, dim)
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target, ok := randomNormal(dim, nil)
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target, ok := randomNormal(dim, src)
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if !ok {
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t.Fatal("bad test, sigma not pos def")
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}
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@@ -239,7 +243,7 @@ func TestMetropolisHastingser(t *testing.T) {
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// Test the Metropolis Hastingser by generating all the samples, then generating
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// the same samples with a burnin and rate.
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src := rand.New(rand.NewSource(1))
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src = rand.New(rand.NewSource(1))
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proposal, ok := NewProposalNormal(sigmaImp, src)
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if !ok {
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t.Fatal("bad test, sigma not pos def")
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@@ -185,20 +185,19 @@ func TestDimensionEquality(t *testing.T) {
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}
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}
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var operationTests = []struct {
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func TestOperations(t *testing.T) {
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operationTests := []struct {
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recvOp func(Uniter) *Unit
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param Uniter
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want Uniter
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}{
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}{
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{Dimless(1).Unit().Add, Dimless(2), Dimless(3)},
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{Dimless(1).Unit().Mul, Dimless(2), Dimless(2)},
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{Dimless(1).Unit().Mul, Length(2), Length(2)},
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{Length(1).Unit().Mul, Dimless(2), Length(2)},
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{Dimless(1).Unit().Div, Length(2), New(0.5, Dimensions{LengthDim: -1})},
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{Length(1).Unit().Div, Dimless(2), Length(0.5)},
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}
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func TestOperations(t *testing.T) {
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}
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t.Parallel()
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for i, test := range operationTests {
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var got Uniter
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