Add benchmarks comparing Lux against 7 languages: - Rust, C, Go (compiled) - Node.js, Bun (JavaScript JIT) - Python (interpreted) Benchmarks: - Fibonacci (fib 35): recursive function calls - Prime counting (10k): loops and conditionals - Sum loop (10M): tight numeric loops - Ackermann (3,10): deep recursion - Selection sort (1k): sorting algorithm - List operations (10k): map/filter/fold with closures Results show Lux: - Matches C and Rust performance - 2-5x faster than Go - 7-15x faster than Node.js - 10-285x faster than Python Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
43 lines
1.1 KiB
Plaintext
43 lines
1.1 KiB
Plaintext
// Binary Trees benchmark - recursive data structures
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type Tree =
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| Leaf
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| Node(Tree, Tree)
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fn make(depth: Int): Tree = {
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if depth == 0 then Leaf
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else Node(make(depth - 1), make(depth - 1))
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}
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fn check(tree: Tree): Int = {
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match tree {
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Leaf => 1,
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Node(left, right) => 1 + check(left) + check(right)
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}
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}
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fn main(): Unit = {
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let maxDepth = 12
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let stretchTree = make(maxDepth + 1)
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let stretchCheck = check(stretchTree)
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Console.print("stretch tree check: " + toString(stretchCheck))
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let longLivedTree = make(maxDepth)
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let sum4 = sumChecks(256, 4, 0)
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Console.print("256 trees of depth 4 check: " + toString(sum4))
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let sum6 = sumChecks(64, 6, 0)
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Console.print("64 trees of depth 6 check: " + toString(sum6))
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let sum8 = sumChecks(16, 8, 0)
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Console.print("16 trees of depth 8 check: " + toString(sum8))
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Console.print("long lived tree check: " + toString(check(longLivedTree)))
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}
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fn sumChecks(n: Int, depth: Int, acc: Int): Int = {
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if n == 0 then acc
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else sumChecks(n - 1, depth, acc + check(make(depth)))
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}
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