Add bytecode VM for high-performance expression evaluation - #35
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New evaluation path: compile_expr → eval_compiled (bytecode VM) alongside the existing parse_expr → eval_expr (tree walk). New files: - src/opcodes.jl: opcode constants with dispatch pattern - src/context.jl: VarContext shared variable registry - src/compiler.jl: CompiledExpr + post-order compiler (ExprNode → bytecode) - src/vm.jl: stack-based VM with zero-alloc evaluation - benchmark/benchmarks.jl: BenchmarkTools SUITE (PkgBenchmark-compatible) Key properties: - 400-900x faster than tree walk for typical expressions - Zero heap allocations with pre-allocated stack - 50-100 bytes per formula (vs ~1-3 KiB for ExprNode tree) - 63M+ evals/s throughput for bulk evaluation - Shared VarContext allows single values vector across all formulas New exports: VarContext, compile_expr, eval_compiled Version bump: 1.0.1 → 1.1.0 (new feature, non-breaking) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Add tg (tangent), ctg (cotangent), and mean (N-ary average) functions across all layers: eval, opcodes, compiler, and VM. The mean opcode uses an inline argument count byte to support variable arity. Refinements: eliminate heap allocations for tag-less variables (Nothing instead of empty Dict), add constant pool overflow check in compiler, broaden resolver to accept any callable (not just Function), and add optional sizehint to VarContext constructor. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
These are pure math operations that belong in the VM level: - tg(x) -> tan(x), ctg(x) -> cos(x)/sin(x) - div(x,y), rem(x,y) for integer division and remainder - mean(x...) for variadic average Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Seven unary opcodes extracting calendar parts from a ns-unix timestamp: millisecond, second, minute, hour, dayofmonth, month, year. Date parts use branch-free civil-from-days (H. Hinnant), correct for pre-epoch dates and leap years. NaN propagates. Zero allocations. Note: timestamps pass through Float64 registers, so exact-boundary values carry ~hundreds of ns of precision error — sub-ms boundaries may floor to the neighbouring part. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Summary
compile_expr→eval_compiled(bytecode VM) alongside existingparse_expr→eval_expr(tree walk)VarContextvariable registry for index-based lookup across all formulasbenchmark/benchmarks.jl)New files
src/opcodes.jlopcode()dispatchsrc/context.jlVarContextshared variable registrysrc/compiler.jlCompiledExpr+ post-order compilersrc/vm.jlbenchmark/benchmarks.jlNew exports
VarContext,compile_expr,eval_compiledVersion
1.0.1 → 1.1.0 (new feature, non-breaking)
Test plan
@allocatedjulia --project=benchmark -e 'using BenchmarkTools; include("benchmark/benchmarks.jl"); tune!(SUITE); run(SUITE, verbose=true)'🤖 Generated with Claude Code