- evolve.sh: fix fail-in-subshell bug — run seed-gen-cli as a direct
command so its exit code is checked by the parent shell and fail()
aborts the script correctly; redirect stderr to log file instead of
discarding it with 2>/dev/null
- seed-generator.ts: reorder enumerateVariants() to put
STAKED_THRESHOLDS outermost (192 entries/block) so that
selectVariants(6) with stride=192 covers all 6 staked% thresholds;
remove false doc claim about "first variant is current seed config";
add comments explaining CI=0n is intentional in all presets
- seed-gen-cli.ts: emit a stderr diagnostic when count exceeds the
1152-variant cap so the cap is visible rather than silently producing
fewer files than requested
- test: strengthen n=6 test to assert all STAKED_THRESHOLDS values are
represented in the selected variants
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add seed-generator.ts module and seed-gen-cli.ts CLI that produce
parametric Push3 variants for initial population seeding.
Variants systematically cover:
- Staked% thresholds: 80, 85, 88, 91, 94, 97
- Penalty thresholds: 30, 50, 70, 100
- Bull params: 4 presets (aggressive → mild)
- Bear params: 4 presets (standard → very mild)
- Tax distributions: exponential (seed), linear, sqrt
Total combination space: 6×4×4×4×3 = 1152 variants.
selectVariants(n) samples evenly so every axis is represented.
evolve.sh gains --diverse-seeds flag: when set, gen_0 is seeded with
parametric variants instead of N copies of the same mutated seed.
Remaining slots (if population > generated variants) fall back to
mutations of the base seed.
All generated programs pass transpiler stack validation (33 new tests).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Implements the five Push3 mutation operators and the meta-operator for
the optimizer evolution pipeline:
- mutateConstant: shifts a random integer literal by ±δ (clamped to 0)
- swapOperator: swaps ADD↔SUB, MUL↔DIV, GT↔LT, GTE↔LTE
- deleteInstruction: removes a random non-EXEC.IF instr; validates result
- insertInstruction: inserts stack-neutral pair (push 0 + DYADIC.POP)
- crossover: single-point crossover of two programs at instruction boundaries
- mutate: applies N random mutations from the four single-program operators
All mutations validate output via transpile() symbolic stack simulation.
Invalid mutations silently return the original program.
35 unit tests cover all operators, edge cases (empty program, single
instruction, deep stack), and the acceptance criterion that
mutate(optimizer_v3, 3) produces ≥10 distinct valid variants in 20 trials.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
