mirror of
https://github.com/rjNemo/underscore
synced 2026-06-06 02:26:42 +00:00
Ruidy
7caa23e082
Replaces O(n²) bubble sort algorithm with O(n log n) slices.SortFunc from the standard library, delivering massive performance improvements. Performance improvements: - Large dataset (1000 items): 2,121,531 ns/op → 3,372 ns/op (629x faster!) - Small dataset (10 items): 199 ns/op → 178 ns/op (10% faster) - Time reduction: 99.84% for large datasets Resolves the TODO comment about replacing the simple algorithm. Also adds comprehensive benchmarks for both small and large datasets to track performance regressions. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
59 lines
1.1 KiB
Go
59 lines
1.1 KiB
Go
package underscore_test
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import (
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"testing"
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"github.com/stretchr/testify/assert"
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u "github.com/rjNemo/underscore"
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)
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func Test_OrderBy_Asc(t *testing.T) {
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set := u.Range(5, 0)
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want := u.Range(0, 5)
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result := u.OrderBy(set, func(left int, right int) bool {
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return left > right
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})
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assert.Equal(t, want, result)
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}
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func Test_OrderBy_Desc(t *testing.T) {
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set := u.Range(0, 5)
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want := u.Range(5, 0)
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result := u.OrderBy(set, func(left int, right int) bool {
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return left < right
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})
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assert.Equal(t, want, result)
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}
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func BenchmarkOrderBy(b *testing.B) {
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data := make([]int, 1000)
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for i := range data {
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data[i] = 1000 - i // Reverse order - worst case for bubble sort
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}
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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dataCopy := make([]int, len(data))
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copy(dataCopy, data)
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u.OrderBy(dataCopy, func(a, b int) bool { return a > b })
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}
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}
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func BenchmarkOrderBySmall(b *testing.B) {
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data := make([]int, 10)
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for i := range data {
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data[i] = 10 - i
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}
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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dataCopy := make([]int, len(data))
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copy(dataCopy, data)
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u.OrderBy(dataCopy, func(a, b int) bool { return a > b })
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}
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}
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