|
4 | 4 | "math" |
5 | 5 | "math/rand" |
6 | 6 | "reflect" |
| 7 | + "runtime" |
7 | 8 | "strconv" |
8 | 9 | "strings" |
9 | 10 | "testing" |
@@ -65,6 +66,22 @@ func equalStatistics(t1, t2 interval.Tree[uintInterval]) bool { |
65 | 66 | return a1 == a2 && b1 == b2 && c1 == c2 && d1 == d2 |
66 | 67 | } |
67 | 68 |
|
| 69 | +func equalsSizeAndOrder[T any](t1, t2 interval.Tree[T]) bool { |
| 70 | + var t1InOrder []T |
| 71 | + t1.Visit(t1.Min(), t1.Max(), func(item T) bool { |
| 72 | + t1InOrder = append(t1InOrder, item) |
| 73 | + return true |
| 74 | + }) |
| 75 | + |
| 76 | + var t2InOrder []T |
| 77 | + t2.Visit(t2.Min(), t2.Max(), func(item T) bool { |
| 78 | + t2InOrder = append(t2InOrder, item) |
| 79 | + return true |
| 80 | + }) |
| 81 | + |
| 82 | + return reflect.DeepEqual(t1InOrder, t2InOrder) |
| 83 | +} |
| 84 | + |
68 | 85 | func TestNewTree(t *testing.T) { |
69 | 86 | t.Parallel() |
70 | 87 |
|
@@ -169,33 +186,29 @@ func TestNewTreeConcurrent(t *testing.T) { |
169 | 186 | tree1 := interval.NewTree(cmpUintInterval, ivals[0]) |
170 | 187 | tree2 := interval.NewTreeConcurrent(1, cmpUintInterval, ivals[0]) |
171 | 188 |
|
172 | | - if !equalStatistics(tree1, tree2) { |
173 | | - t.Fatal("New() differs with NewConcurrent(), statistics differ") |
| 189 | + if !equalsSizeAndOrder(tree1, tree2) { |
| 190 | + t.Fatal("New() differs with NewConcurrent()") |
174 | 191 | } |
175 | 192 |
|
176 | 193 | tree1 = interval.NewTree(cmpUintInterval, ivals[:2]...) |
177 | 194 | tree2 = interval.NewTreeConcurrent(2, cmpUintInterval, ivals[:2]...) |
178 | 195 |
|
179 | | - if !equalStatistics(tree1, tree2) { |
180 | | - t.Fatal("New() differs with NewConcurrent(), statistics differ") |
| 196 | + if !equalsSizeAndOrder(tree1, tree2) { |
| 197 | + t.Fatal("New() differs with NewConcurrent()") |
181 | 198 | } |
182 | 199 |
|
183 | 200 | tree1 = interval.NewTree(cmpUintInterval, ivals[:30_000]...) |
184 | 201 | tree2 = interval.NewTreeConcurrent(3, cmpUintInterval, ivals[:30_000]...) |
185 | 202 |
|
186 | | - if !equalStatistics(tree1, tree2) { |
187 | | - t.Log(tree1.Statistics()) |
188 | | - t.Log(tree2.Statistics()) |
189 | | - t.Fatal("New() differs with NewConcurrent(), statistics differ") |
| 203 | + if !equalsSizeAndOrder(tree1, tree2) { |
| 204 | + t.Fatal("New() differs with NewConcurrent()") |
190 | 205 | } |
191 | 206 |
|
192 | 207 | tree1 = interval.NewTree(cmpUintInterval, ivals...) |
193 | | - tree2 = interval.NewTreeConcurrent(4, cmpUintInterval, ivals...) |
| 208 | + tree2 = interval.NewTreeConcurrent(runtime.NumCPU(), cmpUintInterval, ivals...) |
194 | 209 |
|
195 | | - if !equalStatistics(tree1, tree2) { |
196 | | - t.Log(tree1.Statistics()) |
197 | | - t.Log(tree2.Statistics()) |
198 | | - t.Fatal("New() differs with NewConcurrent(), statistics differ") |
| 210 | + if !equalsSizeAndOrder(tree1, tree2) { |
| 211 | + t.Fatal("New() differs with NewConcurrent()") |
199 | 212 | } |
200 | 213 | } |
201 | 214 |
|
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