70ef0eb1bc
- Change WARNING to explicitly state "legacy CID format ... migration not supported, skipping"
- Expand comment near the startswith('candidate_') guard to document the CID format
contract and explain why re-admission is intentionally out of scope (no surviving
generation_N.jsonl files from runs 1-6 exist in the repo)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
956 lines
35 KiB
Bash
Executable file
956 lines
35 KiB
Bash
Executable file
#!/usr/bin/env bash
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# =============================================================================
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# evolve.sh — Push3 evolution orchestrator
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#
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# Outer evolutionary loop: generate candidates → score → select → repeat.
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#
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# Usage:
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# ./tools/push3-evolution/evolve.sh \
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# --seed optimizer_v3.push3 \
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# --population 10 \
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# --generations 5 \
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# --mutation-rate 2 \
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# --elites 2 \
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# [--output evolved/] \
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# [--diverse-seeds] \
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# [--run-id <N>]
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#
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# --diverse-seeds Initialise gen_0 with diverse candidates. When the
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# persistent seeds pool (tools/push3-evolution/seeds/) is
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# non-empty, a random sample from the pool is used (crossover
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# between hand-written and evolved programs). When the pool is
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# empty, falls back to the parametric seed-gen-cli variants.
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# Any shortfall (pool or variants < --population) is filled by
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# mutating the main seed.
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#
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# --run-id <N> Integer identifier for this run, used to name candidates
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# admitted to the seeds pool (e.g. run003_gen2_c005.push3).
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# Auto-incremented from the highest existing run in the pool
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# manifest when omitted.
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#
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# Algorithm:
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# 1. Initialize population: N copies of seed, each with M random mutations.
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# 2. For each generation:
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# a. Score all candidates via the configured fitness backend
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# (batch-eval.sh for revm [default], fitness.sh for anvil)
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# b. Log generation stats (min/max/mean fitness, best candidate)
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# c. Select k survivors via tournament selection (k = population/2)
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# d. Elitism: copy top N candidates unchanged into next generation
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# e. Generate next population: mutate survivors + crossover pairs
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# 3. Output best candidate as Push3 file.
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# 4. Show diff: original vs evolved (which constants changed, by how much).
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#
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# Output:
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# <output>/run_NNN/ NNN auto-increments from the highest existing run dir
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# generation_0.jsonl {candidate_id, fitness, mutations_applied}
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# generation_1.jsonl
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# ...
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# best.push3 highest-fitness program
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# diff.txt parameter changes vs original
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# evolution.log full run log
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#
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# Environment:
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# BASE_RPC_URL Required when EVAL_MODE=revm (the default). Base network RPC endpoint.
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# ANVIL_FORK_URL Passed through to fitness.sh when EVAL_MODE=anvil.
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#
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# TSX resolution order: tsx in PATH → node_modules/.bin/tsx → npx tsx.
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# =============================================================================
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set -euo pipefail
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# Foundry tools (forge, cast, anvil)
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export PATH="${HOME}/.foundry/bin:${PATH}"
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SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
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FITNESS_SH="$SCRIPT_DIR/fitness.sh"
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BATCH_EVAL_SH="$SCRIPT_DIR/revm-evaluator/batch-eval.sh"
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MUTATE_CLI="$SCRIPT_DIR/mutate-cli.ts"
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SEED_GEN_CLI="$SCRIPT_DIR/seed-gen-cli.ts"
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# EVAL_MODE controls which fitness backend is used:
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# revm (default) — in-process revm via FitnessEvaluator.t.sol (batch-eval.sh)
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# Requires BASE_RPC_URL env var. 10-100× faster at scale.
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# anvil — per-candidate Anvil+forge-script pipeline (fitness.sh)
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EVAL_MODE="${EVAL_MODE:-revm}"
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# =============================================================================
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# Argument parsing
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# =============================================================================
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SEED=""
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POPULATION=10
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GENERATIONS=5
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MUTATION_RATE=2
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ELITES=2
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OUTPUT_DIR="evolved"
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DIVERSE_SEEDS=false
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RUN_ID=""
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while [[ $# -gt 0 ]]; do
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case $1 in
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--seed) SEED="$2"; shift 2 ;;
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--population) POPULATION="$2"; shift 2 ;;
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--generations) GENERATIONS="$2"; shift 2 ;;
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--mutation-rate) MUTATION_RATE="$2"; shift 2 ;;
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--elites) ELITES="$2"; shift 2 ;;
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--output) OUTPUT_DIR="$2"; shift 2 ;;
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--diverse-seeds) DIVERSE_SEEDS=true; shift ;;
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--run-id) RUN_ID="$2"; shift 2 ;;
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*) echo "Unknown option: $1" >&2; exit 2 ;;
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esac
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done
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if [ -z "$SEED" ]; then echo "Error: --seed required" >&2; exit 2; fi
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if [ ! -f "$SEED" ]; then echo "Error: seed file not found: $SEED" >&2; exit 2; fi
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# Validate numeric args
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for _name_val in "population:$POPULATION" "generations:$GENERATIONS" "mutation-rate:$MUTATION_RATE"; do
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_name="${_name_val%%:*}"
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_val="${_name_val##*:}"
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if ! [[ "$_val" =~ ^[0-9]+$ ]] || [ "$_val" -lt 1 ]; then
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echo "Error: --${_name} must be a positive integer (got: $_val)" >&2
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exit 2
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fi
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done
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if ! [[ "$ELITES" =~ ^[0-9]+$ ]]; then
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echo "Error: --elites must be a non-negative integer (got: $ELITES)" >&2
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exit 2
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fi
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# Canonicalize paths
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SEED="$(cd "$(dirname "$SEED")" && pwd)/$(basename "$SEED")"
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# Resolve base output dir and create run_NNN subdirectory
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mkdir -p "$OUTPUT_DIR"
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BASE_DIR="$(cd "$OUTPUT_DIR" && pwd)"
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# Auto-increment: find the highest run_NNN directory under BASE_DIR and add 1
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RUN_NUM=$(python3 - "$BASE_DIR" <<'PYEOF'
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import sys, os, re
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base = sys.argv[1]
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max_n = 0
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if os.path.isdir(base):
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for name in os.listdir(base):
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m = re.fullmatch(r'run_(\d+)', name)
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if m and os.path.isdir(os.path.join(base, name)):
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max_n = max(max_n, int(m.group(1)))
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print(f"{max_n + 1:03d}")
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PYEOF
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)
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OUTPUT_DIR="$BASE_DIR/run_${RUN_NUM}"
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mkdir -p "$OUTPUT_DIR"
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LOG="$OUTPUT_DIR/evolution.log"
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# Seeds pool — persistent candidate pool across all runs
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# manifest.jsonl schema: tools/push3-evolution/seeds/manifest.schema.json
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SEEDS_DIR="$SCRIPT_DIR/seeds"
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POOL_MANIFEST="$SEEDS_DIR/manifest.jsonl"
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ADMISSION_THRESHOLD=6000000000000000000000 # 6e21 wei
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# Validate/auto-compute RUN_ID
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if [ -n "$RUN_ID" ]; then
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if ! [[ "$RUN_ID" =~ ^[0-9]+$ ]] || [ "$RUN_ID" -lt 1 ]; then
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echo "Error: --run-id must be a positive integer (got: $RUN_ID)" >&2
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exit 2
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fi
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RUN_ID=$(printf '%03d' "$RUN_ID")
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else
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# Auto-increment: find the highest run ID in the manifest and add 1
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if [ -f "$POOL_MANIFEST" ]; then
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RUN_ID=$(python3 - "$POOL_MANIFEST" <<'PYEOF'
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import json, sys
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max_run = 0
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with open(sys.argv[1]) as f:
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for line in f:
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line = line.strip()
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if not line:
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continue
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try:
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d = json.loads(line)
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r = d.get("run")
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if r is not None:
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max_run = max(max_run, int(r))
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except (json.JSONDecodeError, ValueError, TypeError):
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pass
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print(f"{max_run + 1:03d}")
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PYEOF
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) || RUN_ID="001"
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else
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RUN_ID="001"
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fi
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fi
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# =============================================================================
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# Helpers
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# =============================================================================
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log() {
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local msg="[evolve] $*"
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echo "$msg" >&2
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echo "$msg" >> "$LOG"
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}
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fail() {
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log "ERROR: $*"
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exit 2
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}
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# Locate a tsx runner (TypeScript executor for mutate-cli.ts).
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# Tries: tsx in PATH → local node_modules → npx tsx.
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find_tsx_cmd() {
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if command -v tsx &>/dev/null; then
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echo "tsx"
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elif [ -x "$SCRIPT_DIR/node_modules/.bin/tsx" ]; then
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echo "$SCRIPT_DIR/node_modules/.bin/tsx"
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elif command -v npx &>/dev/null; then
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echo "npx tsx"
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else
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return 1
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fi
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}
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# Run the mutate-cli.ts with the given arguments.
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# All mutation operations run from SCRIPT_DIR so relative TS imports resolve.
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run_mutate_cli() {
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(cd "$SCRIPT_DIR" && $TSX_CMD "$MUTATE_CLI" "$@")
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}
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# Run the seed-gen-cli.ts with the given arguments.
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run_seed_gen_cli() {
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(cd "$SCRIPT_DIR" && $TSX_CMD "$SEED_GEN_CLI" "$@")
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}
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# Integer min/max/mean via python3 (bash arithmetic overflows on wei values).
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py_stats() {
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python3 -c "import sys; nums = [int(x) for x in sys.stdin.read().split()]; print(min(nums) if nums else 0, max(nums) if nums else 0, round(sum(nums)/len(nums)) if nums else 0)"
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}
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# Top-N selection: return filepaths of the N highest-scoring candidates (descending).
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py_top_n() {
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local n="$1"
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local scores_file="$2"
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python3 - "$n" "$scores_file" <<'PYEOF'
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import sys
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n = int(sys.argv[1])
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entries = []
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with open(sys.argv[2]) as f:
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for line in f:
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parts = line.rstrip('\n').split('\t')
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if len(parts) >= 3:
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entries.append((int(parts[1]), parts[2]))
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entries.sort(key=lambda x: x[0], reverse=True)
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for _, path in entries[:n]:
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print(path)
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PYEOF
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}
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# Tournament selection: given a scores file (one "idx score filepath" per line),
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# run k tournaments of size 2 and return winner filepaths (one per line).
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py_tournament() {
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local k="$1"
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local scores_file="$2"
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python3 - "$k" "$scores_file" <<'PYEOF'
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import sys, random
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k = int(sys.argv[1])
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entries = []
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with open(sys.argv[2]) as f:
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for line in f:
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parts = line.rstrip('\n').split('\t')
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if len(parts) >= 3:
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entries.append((int(parts[0]), int(parts[1]), parts[2]))
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if not entries:
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sys.exit(1)
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for _ in range(k):
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a = random.choice(entries)
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b = random.choice(entries)
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winner = a if a[1] >= b[1] else b
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print(winner[2])
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PYEOF
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}
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# =============================================================================
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# Tool checks
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# =============================================================================
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for _tool in python3 node; do
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command -v "$_tool" &>/dev/null || fail "$_tool not found in PATH"
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done
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[ -f "$FITNESS_SH" ] || fail "fitness.sh not found at $FITNESS_SH"
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[ -f "$MUTATE_CLI" ] || fail "mutate-cli.ts not found at $MUTATE_CLI"
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[ -x "$FITNESS_SH" ] || chmod +x "$FITNESS_SH"
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if [ "$EVAL_MODE" = "revm" ]; then
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[ -f "$BATCH_EVAL_SH" ] || fail "batch-eval.sh not found at $BATCH_EVAL_SH"
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[ -x "$BATCH_EVAL_SH" ] || chmod +x "$BATCH_EVAL_SH"
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[ -n "${BASE_RPC_URL:-}" ] || fail "EVAL_MODE=revm requires BASE_RPC_URL env var (Base network RPC)"
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command -v forge &>/dev/null || fail "forge not found in PATH (required for EVAL_MODE=revm)"
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elif [ "$EVAL_MODE" != "anvil" ]; then
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fail "Unknown EVAL_MODE '$EVAL_MODE' — must be 'anvil' or 'revm'"
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fi
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TSX_CMD="$(find_tsx_cmd)" || fail \
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"No TypeScript runner found. Install tsx (npm install -g tsx) or ensure npx is in PATH."
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# =============================================================================
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# Work directory — holds all candidate .push3 files across generations
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#
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# Fixed path under BASE_DIR so stale /tmp/tmp.* dirs from killed runs can
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# never interfere with a new run. Cleaned at startup; run outputs are
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# already preserved in BASE_DIR/run_NNN/ before this directory is wiped.
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# =============================================================================
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WORK_DIR="$BASE_DIR/.work"
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rm -rf "$WORK_DIR"
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mkdir -p "$WORK_DIR"
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# =============================================================================
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# Log run header
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# =============================================================================
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log "========================================================"
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log "Push3 Evolution — $(date -u '+%Y-%m-%dT%H:%M:%SZ')"
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log " Seed: $SEED"
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log " Population: $POPULATION"
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log " Generations: $GENERATIONS"
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log " Mutation rate: $MUTATION_RATE"
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log " Elites: $ELITES"
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log " Diverse seeds: $DIVERSE_SEEDS"
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log " Run ID: $RUN_ID"
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log " Base dir: $BASE_DIR"
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log " Output: $OUTPUT_DIR"
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log " TSX: $TSX_CMD"
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log " Eval mode: $EVAL_MODE"
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log "========================================================"
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# =============================================================================
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# Step 1 — Initialize generation 0
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#
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# N copies of the seed, each independently mutated MUTATION_RATE times.
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# =============================================================================
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log ""
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log "=== Initializing population ==="
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GEN_DIR="$WORK_DIR/gen_0"
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mkdir -p "$GEN_DIR"
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if [ "$DIVERSE_SEEDS" = "true" ]; then
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# --- Diverse-seeds mode: prefer persistent pool; fall back to seed-gen-cli ---
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VARIANT_IDX=0
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# Build a random sample list from the pool in one pass (also determines if
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# the pool has any usable entries, avoiding a second manifest parse).
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#
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# NOTE: seeds with fitness: null (e.g. llm-origin entries not yet evaluated)
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# are included in the sample with equal probability to any other seed — the
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# pool sampler does a flat random shuffle and does not read or weight by
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# fitness at all. Run evaluate-seeds.sh to score them and write real fitness
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# values back to manifest.jsonl.
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POOL_SAMPLE_LIST="$WORK_DIR/pool_sample.txt"
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POOL_COUNT=0
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if [ -f "$POOL_MANIFEST" ]; then
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python3 - "$POOL_MANIFEST" "$SEEDS_DIR" "$POPULATION" > "$POOL_SAMPLE_LIST" <<'PYEOF'
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import json, sys, os, random
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manifest_path, seeds_dir, n = sys.argv[1], sys.argv[2], int(sys.argv[3])
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entries = []
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with open(manifest_path) as f:
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for line in f:
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line = line.strip()
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if not line:
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continue
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try:
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d = json.loads(line)
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fpath = os.path.join(seeds_dir, d.get('file', ''))
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if os.path.exists(fpath):
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entries.append(fpath)
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except json.JSONDecodeError:
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pass
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random.shuffle(entries)
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for path in entries[:n]:
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print(path)
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PYEOF
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POOL_COUNT=$(wc -l < "$POOL_SAMPLE_LIST" 2>/dev/null || echo 0)
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fi
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if [ "$POOL_COUNT" -gt 0 ]; then
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# --- Pool mode: random sample from the seeds pool ---
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log " diverse-seeds: sampling up to $POPULATION candidates from pool ($POOL_COUNT available)"
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while IFS= read -r POOL_FILE && [ "$VARIANT_IDX" -lt "$POPULATION" ]; do
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CAND_FILE="$GEN_DIR/candidate_$(printf '%03d' $VARIANT_IDX).push3"
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cp "$POOL_FILE" "$CAND_FILE"
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printf '0\n' > "${CAND_FILE%.push3}.ops"
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VARIANT_IDX=$((VARIANT_IDX + 1))
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done < "$POOL_SAMPLE_LIST"
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log " diverse-seeds: seeded $VARIANT_IDX candidate(s) from pool"
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else
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# --- Fallback: parametric variants from seed-gen-cli (pool is empty) ---
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log " diverse-seeds: pool empty, falling back to seed-gen-cli parametric variants"
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[ -f "$SEED_GEN_CLI" ] || fail "seed-gen-cli.ts not found at $SEED_GEN_CLI"
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SEED_VARIANTS_DIR="$WORK_DIR/seed_variants"
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SEED_VARIANTS_LIST="$WORK_DIR/seed_variants_list.txt"
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# Run seed-gen-cli as a direct command (not inside <(...)) so its exit code is
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# checked by the parent shell and fail() aborts the entire script on error.
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# Stderr goes to the log file for diagnostics rather than being discarded.
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run_seed_gen_cli --count "$POPULATION" --output-dir "$SEED_VARIANTS_DIR" \
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> "$SEED_VARIANTS_LIST" 2>>"$LOG" \
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|| fail "seed-gen-cli.ts failed to generate variants"
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while IFS= read -r VARIANT_FILE && [ "$VARIANT_IDX" -lt "$POPULATION" ]; do
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CAND_FILE="$GEN_DIR/candidate_$(printf '%03d' $VARIANT_IDX).push3"
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cp "$VARIANT_FILE" "$CAND_FILE"
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printf '0\n' > "${CAND_FILE%.push3}.ops"
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VARIANT_IDX=$((VARIANT_IDX + 1))
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done < "$SEED_VARIANTS_LIST"
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fi
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# Fill any remaining slots with mutations of the seed
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while [ "$VARIANT_IDX" -lt "$POPULATION" ]; do
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CAND_FILE="$GEN_DIR/candidate_$(printf '%03d' $VARIANT_IDX).push3"
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MUTATED=$(run_mutate_cli mutate "$SEED" "$MUTATION_RATE") \
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|| fail "Failed to mutate seed for fallback candidate $VARIANT_IDX"
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printf '%s\n' "$MUTATED" > "$CAND_FILE"
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printf '%d\n' "$MUTATION_RATE" > "${CAND_FILE%.push3}.ops"
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VARIANT_IDX=$((VARIANT_IDX + 1))
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done
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log "Initialized ${POPULATION} candidates in gen_0 (diverse-seeds, pool=$POOL_COUNT)"
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else
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# --- Default mode: N copies of the seed, each independently mutated ---
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for i in $(seq 0 $((POPULATION - 1))); do
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CAND_FILE="$GEN_DIR/candidate_$(printf '%03d' $i).push3"
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MUTATED=$(run_mutate_cli mutate "$SEED" "$MUTATION_RATE") \
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|| fail "Failed to mutate seed for initial candidate $i"
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printf '%s\n' "$MUTATED" > "$CAND_FILE"
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printf '%d\n' "$MUTATION_RATE" > "${CAND_FILE%.push3}.ops"
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done
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log "Initialized ${POPULATION} candidates in gen_0"
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fi
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# =============================================================================
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# Step 2 — Evolution loop
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# =============================================================================
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GLOBAL_BEST_FITNESS=-1
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GLOBAL_BEST_GEN=-1
|
||
GLOBAL_BEST_CAND=""
|
||
|
||
CURRENT_GEN_DIR="$GEN_DIR"
|
||
|
||
for gen in $(seq 0 $((GENERATIONS - 1))); do
|
||
|
||
log ""
|
||
log "=== Generation $((gen + 1)) / $GENERATIONS ==="
|
||
|
||
JSONL_FILE="$OUTPUT_DIR/generation_${gen}.jsonl"
|
||
SCORES_FILE="$WORK_DIR/scores_gen_${gen}.txt"
|
||
|
||
# --- a. Score all candidates ---
|
||
|
||
SCORE_VALUES=""
|
||
CAND_COUNT=0
|
||
|
||
# In revm mode, batch-score all candidates in one forge test invocation before
|
||
# the per-candidate loop. Scores are written to a temp JSONL file that the
|
||
# loop reads with a fast Python lookup.
|
||
BATCH_SCORES_FILE="$WORK_DIR/batch_scores_gen_${gen}.jsonl"
|
||
|
||
if [ "$EVAL_MODE" = "revm" ]; then
|
||
declare -a _BATCH_FILES=()
|
||
for _CF in "$CURRENT_GEN_DIR"/candidate_*.push3; do
|
||
[ -f "$_CF" ] && _BATCH_FILES+=("$_CF")
|
||
done
|
||
|
||
if [ "${#_BATCH_FILES[@]}" -gt 0 ]; then
|
||
BATCH_EC=0
|
||
BATCH_EVAL_LOG="$WORK_DIR/batch-eval-gen-${gen}.log"
|
||
bash "$BATCH_EVAL_SH" "${_BATCH_FILES[@]}" > "$BATCH_SCORES_FILE" 2>"$BATCH_EVAL_LOG" \
|
||
|| BATCH_EC=$?
|
||
|
||
if [ "$BATCH_EC" -ne 0 ]; then
|
||
echo "--- last 20 lines of $BATCH_EVAL_LOG ---" >&2
|
||
tail -n 20 "$BATCH_EVAL_LOG" >&2
|
||
echo "--- end batch-eval.log ---" >&2
|
||
fi
|
||
|
||
if [ "$BATCH_EC" -eq 2 ]; then
|
||
fail "batch-eval.sh reported an infrastructure error (exit 2) — aborting evolution"
|
||
fi
|
||
log " revm batch scoring complete (exit $BATCH_EC)"
|
||
fi
|
||
fi
|
||
|
||
for CAND_FILE in "$CURRENT_GEN_DIR"/candidate_*.push3; do
|
||
[ -f "$CAND_FILE" ] || continue
|
||
|
||
CAND_IDX="${CAND_FILE##*candidate_}"
|
||
CAND_IDX="${CAND_IDX%.push3}"
|
||
# Canonical candidate_id format: "candidate_XXX" (matches source filename and batch-eval IDs).
|
||
CID="candidate_${CAND_IDX}"
|
||
|
||
# Read mutations_applied from sidecar; default 0 if missing.
|
||
OPS_FILE="${CAND_FILE%.push3}.ops"
|
||
MUTATIONS_APPLIED=0
|
||
[ -f "$OPS_FILE" ] && MUTATIONS_APPLIED=$(cat "$OPS_FILE")
|
||
|
||
SCORE=0
|
||
FITNESS_EC=0
|
||
|
||
if [ "$EVAL_MODE" = "revm" ] && [ -f "$BATCH_SCORES_FILE" ]; then
|
||
# Look up pre-computed score from batch-eval.sh output.
|
||
# batch-eval uses filename as candidate_id (e.g. "candidate_000")
|
||
BATCH_CID="$(basename "$CAND_FILE" .push3)"
|
||
SCORE=$(python3 - "$BATCH_CID" "$BATCH_SCORES_FILE" <<'PYEOF'
|
||
import json, sys
|
||
cid = sys.argv[1]
|
||
with open(sys.argv[2]) as f:
|
||
for line in f:
|
||
try:
|
||
d = json.loads(line)
|
||
if d.get("candidate_id") == cid:
|
||
print(d["fitness"])
|
||
sys.exit(0)
|
||
except (json.JSONDecodeError, KeyError):
|
||
pass
|
||
print(0)
|
||
PYEOF
|
||
) || SCORE=0
|
||
else
|
||
# Anvil mode (or revm fallback): score candidate individually.
|
||
SCORE=$(bash "$FITNESS_SH" "$CAND_FILE") || FITNESS_EC=$?
|
||
|
||
# Exit 2 = infrastructure error (Anvil down, missing tools): abort immediately.
|
||
if [ "$FITNESS_EC" -eq 2 ]; then
|
||
fail "fitness.sh reported an infrastructure error (exit 2) — aborting evolution"
|
||
fi
|
||
fi
|
||
|
||
# Validate that score is a non-negative integer; treat any other output as invalid.
|
||
if ! [[ "$SCORE" =~ ^[0-9]+$ ]]; then
|
||
log " $CID: invalid/missing score, using 0"
|
||
SCORE=0
|
||
else
|
||
log " $CID: fitness=$SCORE"
|
||
fi
|
||
|
||
# Append to JSONL — use the actual operations recorded for this candidate.
|
||
printf '{"candidate_id":"%s","fitness":%s,"mutations_applied":%d}\n' \
|
||
"$CID" "$SCORE" "$MUTATIONS_APPLIED" >> "$JSONL_FILE"
|
||
|
||
# Record index, score, and filepath for selection (tab-delimited so paths with spaces are safe).
|
||
printf '%d\t%s\t%s\n' "$CAND_COUNT" "$SCORE" "$CAND_FILE" >> "$SCORES_FILE"
|
||
|
||
SCORE_VALUES="$SCORE_VALUES $SCORE"
|
||
CAND_COUNT=$((CAND_COUNT + 1))
|
||
done
|
||
|
||
if [ "$CAND_COUNT" -eq 0 ]; then
|
||
fail "No candidates found in $CURRENT_GEN_DIR"
|
||
fi
|
||
|
||
# --- b. Log generation stats ---
|
||
|
||
read -r MIN MAX MEAN < <(printf '%s' "$SCORE_VALUES" | py_stats)
|
||
log " Stats: min=$MIN max=$MAX mean=$MEAN candidates=$CAND_COUNT"
|
||
|
||
# Find best candidate for this generation (filepath returned directly).
|
||
BEST_FILE_THIS_GEN=$(python3 - "$SCORES_FILE" <<'PYEOF'
|
||
import sys
|
||
entries = []
|
||
with open(sys.argv[1]) as f:
|
||
for line in f:
|
||
parts = line.rstrip('\n').split('\t')
|
||
if len(parts) >= 3:
|
||
entries.append((int(parts[1]), parts[2]))
|
||
if not entries:
|
||
sys.exit(1)
|
||
print(max(entries, key=lambda x: x[0])[1])
|
||
PYEOF
|
||
) || fail "Could not determine best candidate from $SCORES_FILE"
|
||
|
||
if python3 -c "import sys; sys.exit(0 if int(sys.argv[1]) > int(sys.argv[2]) else 1)" "$MAX" "$GLOBAL_BEST_FITNESS" || [ "$GLOBAL_BEST_FITNESS" = "-1" ]; then
|
||
GLOBAL_BEST_FITNESS="$MAX"
|
||
GLOBAL_BEST_GEN="$gen"
|
||
GLOBAL_BEST_CAND="$BEST_FILE_THIS_GEN"
|
||
log " New global best: gen=$gen fitness=$GLOBAL_BEST_FITNESS file=$(basename "$BEST_FILE_THIS_GEN")"
|
||
fi
|
||
|
||
# Skip next-generation creation after the final generation
|
||
[ "$gen" -eq "$((GENERATIONS - 1))" ] && break
|
||
|
||
# --- c. Tournament selection (k = population / 2) ---
|
||
|
||
K=$((POPULATION / 2))
|
||
[ "$K" -lt 1 ] && K=1
|
||
|
||
SURVIVOR_FILES=()
|
||
while IFS= read -r WIN_FILE; do
|
||
SURVIVOR_FILES+=("$WIN_FILE")
|
||
done < <(py_tournament "$K" "$SCORES_FILE")
|
||
|
||
log " Selected ${#SURVIVOR_FILES[@]} survivors via tournament"
|
||
|
||
# --- d/e. Generate next population (elitism + offspring) ---
|
||
|
||
NEXT_GEN_DIR="$WORK_DIR/gen_$((gen + 1))"
|
||
mkdir -p "$NEXT_GEN_DIR"
|
||
|
||
NEXT_IDX=0
|
||
|
||
# --- d. Elitism: copy top ELITES candidates unchanged ---
|
||
|
||
if [ "$ELITES" -gt 0 ]; then
|
||
ELITE_FILES=()
|
||
while IFS= read -r ELITE_FILE; do
|
||
[ -f "$ELITE_FILE" ] && ELITE_FILES+=("$ELITE_FILE")
|
||
done < <(py_top_n "$ELITES" "$SCORES_FILE")
|
||
|
||
for ELITE_FILE in "${ELITE_FILES[@]}"; do
|
||
DEST="$NEXT_GEN_DIR/candidate_$(printf '%03d' $NEXT_IDX).push3"
|
||
cp "$ELITE_FILE" "$DEST"
|
||
printf '0\n' > "${DEST%.push3}.ops"
|
||
NEXT_IDX=$((NEXT_IDX + 1))
|
||
done
|
||
|
||
log " Elitism: carried over ${#ELITE_FILES[@]} top candidate(s) unchanged"
|
||
fi
|
||
|
||
# --- e. Fill remaining slots with mutation and crossover offspring ---
|
||
|
||
NON_ELITE=$((POPULATION - NEXT_IDX))
|
||
HALF=$((NON_ELITE / 2))
|
||
|
||
# First half of remaining: mutate random survivors
|
||
for _i in $(seq 1 $HALF); do
|
||
SUR="${SURVIVOR_FILES[$((RANDOM % ${#SURVIVOR_FILES[@]}))]}"
|
||
DEST="$NEXT_GEN_DIR/candidate_$(printf '%03d' $NEXT_IDX).push3"
|
||
if MUTATED=$(run_mutate_cli mutate "$SUR" "$MUTATION_RATE" 2>/dev/null); then
|
||
printf '%s\n' "$MUTATED" > "$DEST"
|
||
printf '%d\n' "$MUTATION_RATE" > "${DEST%.push3}.ops"
|
||
else
|
||
# Fallback: copy the survivor as-is to keep population size stable
|
||
cp "$SUR" "$DEST"
|
||
printf '0\n' > "${DEST%.push3}.ops"
|
||
fi
|
||
NEXT_IDX=$((NEXT_IDX + 1))
|
||
done
|
||
|
||
# Second half of remaining: crossover random survivor pairs
|
||
REMAINING=$((POPULATION - NEXT_IDX))
|
||
for _i in $(seq 1 $REMAINING); do
|
||
SUR_A="${SURVIVOR_FILES[$((RANDOM % ${#SURVIVOR_FILES[@]}))]}"
|
||
SUR_B="${SURVIVOR_FILES[$((RANDOM % ${#SURVIVOR_FILES[@]}))]}"
|
||
DEST="$NEXT_GEN_DIR/candidate_$(printf '%03d' $NEXT_IDX).push3"
|
||
if CROSSED=$(run_mutate_cli crossover "$SUR_A" "$SUR_B" 2>/dev/null); then
|
||
printf '%s\n' "$CROSSED" > "$DEST"
|
||
printf '0\n' > "${DEST%.push3}.ops"
|
||
else
|
||
# Fallback: mutate one survivor
|
||
if MUTATED=$(run_mutate_cli mutate "$SUR_A" "$MUTATION_RATE" 2>/dev/null); then
|
||
printf '%s\n' "$MUTATED" > "$DEST"
|
||
printf '%d\n' "$MUTATION_RATE" > "${DEST%.push3}.ops"
|
||
else
|
||
cp "$SUR_A" "$DEST"
|
||
printf '0\n' > "${DEST%.push3}.ops"
|
||
fi
|
||
fi
|
||
NEXT_IDX=$((NEXT_IDX + 1))
|
||
done
|
||
|
||
log " Generated ${NEXT_IDX} candidates for generation $((gen + 1))"
|
||
CURRENT_GEN_DIR="$NEXT_GEN_DIR"
|
||
|
||
done
|
||
|
||
# =============================================================================
|
||
# Step 3 — Output best candidate
|
||
# =============================================================================
|
||
|
||
if [ -z "$GLOBAL_BEST_CAND" ] || [ ! -f "$GLOBAL_BEST_CAND" ]; then
|
||
fail "No valid best candidate recorded — evolution produced no scorable output"
|
||
fi
|
||
|
||
BEST_OUTPUT="$OUTPUT_DIR/best.push3"
|
||
cp "$GLOBAL_BEST_CAND" "$BEST_OUTPUT"
|
||
log ""
|
||
log "Best candidate → $BEST_OUTPUT"
|
||
log " Fitness: $GLOBAL_BEST_FITNESS (generation $GLOBAL_BEST_GEN)"
|
||
|
||
# =============================================================================
|
||
# Step 4 — Diff: original vs evolved constants
|
||
# =============================================================================
|
||
|
||
DIFF_OUTPUT="$OUTPUT_DIR/diff.txt"
|
||
|
||
python3 - "$SEED" "$BEST_OUTPUT" > "$DIFF_OUTPUT" <<'PYEOF'
|
||
import sys, re
|
||
|
||
def extract_ints(path):
|
||
"""Extract all large integer literals (≥6 digits) from a Push3 file."""
|
||
text = open(path).read()
|
||
text = re.sub(r';;[^\n]*', '', text) # strip comments
|
||
return [int(m) for m in re.findall(r'\b(\d{6,})\b', text)]
|
||
|
||
seed_path, best_path = sys.argv[1], sys.argv[2]
|
||
orig = extract_ints(seed_path)
|
||
best = extract_ints(best_path)
|
||
|
||
print(f"=== Push3 Evolution Diff ===")
|
||
print(f"Seed: {seed_path}")
|
||
print(f"Best: {best_path}")
|
||
print()
|
||
|
||
changed = 0
|
||
for i, (o, b) in enumerate(zip(orig, best)):
|
||
if o != b:
|
||
pct = (b - o) / o * 100 if o != 0 else float('inf')
|
||
print(f" const[{i:3d}]: {o:>25d} → {b:>25d} (Δ={b - o:+d}, {pct:+.2f}%)")
|
||
changed += 1
|
||
|
||
if len(orig) != len(best):
|
||
added = len(best) - len(orig)
|
||
if added > 0:
|
||
for i, val in enumerate(best[len(orig):]):
|
||
print(f" const[{len(orig) + i:3d}]: {'(new)':>25s} → {val:>25d}")
|
||
else:
|
||
print(f" ({-added} constant(s) removed from end)")
|
||
|
||
print()
|
||
if changed == 0 and len(orig) == len(best):
|
||
print("No constant changes — evolution applied structural mutations only.")
|
||
else:
|
||
total = min(len(orig), len(best))
|
||
print(f"Summary: {changed} of {total} constant(s) changed.")
|
||
PYEOF
|
||
|
||
log "Diff written to $DIFF_OUTPUT"
|
||
log ""
|
||
cat "$DIFF_OUTPUT" >&2
|
||
|
||
log "========================================================"
|
||
log "Evolution complete."
|
||
log " Generations run: $GENERATIONS"
|
||
log " Best fitness: $GLOBAL_BEST_FITNESS"
|
||
log " Best from gen: $GLOBAL_BEST_GEN"
|
||
log " Output directory: $OUTPUT_DIR"
|
||
log "========================================================"
|
||
|
||
# =============================================================================
|
||
# Step 5 — Seed pool admission
|
||
#
|
||
# Scan all generation JSONL files for candidates that scored above the
|
||
# admission threshold (6e21). Deduplicate by Push3 content hash against the
|
||
# existing pool. Admit qualifying candidates into seeds/ and rewrite
|
||
# manifest.jsonl, keeping at most the top-100 by fitness.
|
||
# =============================================================================
|
||
|
||
log ""
|
||
log "=== Seed pool admission (run=$RUN_ID, threshold=$ADMISSION_THRESHOLD) ==="
|
||
# NOTE: entries admitted before fix #719 (2026-03-15) may have note: null.
|
||
# All entries admitted by this script from this point forward carry an
|
||
# auto-generated note of the form "Evolved from <seed> (run<N> gen<G>)".
|
||
|
||
mkdir -p "$SEEDS_DIR"
|
||
|
||
_ADMISSION_OUT="$WORK_DIR/admission_output.txt"
|
||
_ADMISSION_RC=0
|
||
|
||
python3 - "$OUTPUT_DIR" "$WORK_DIR" "$SEEDS_DIR" \
|
||
"$ADMISSION_THRESHOLD" "$RUN_ID" "$(date -u '+%Y-%m-%d')" \
|
||
"$(basename "$SEED")" \
|
||
> "$_ADMISSION_OUT" 2>&1 <<'PYEOF' || _ADMISSION_RC=$?
|
||
import json, sys, os, hashlib, shutil, tempfile
|
||
|
||
output_dir, work_dir, seeds_dir = sys.argv[1], sys.argv[2], sys.argv[3]
|
||
threshold = int(sys.argv[4])
|
||
run_id = sys.argv[5]
|
||
today = sys.argv[6]
|
||
seed_name = sys.argv[7]
|
||
MAX_EVOLVED = 100 # cap applies to evolved entries only; hand-written are always pinned
|
||
|
||
manifest_path = os.path.join(seeds_dir, 'manifest.jsonl')
|
||
|
||
# ── 1. Read existing manifest ─────────────────────────────────────────────────
|
||
existing = []
|
||
if os.path.exists(manifest_path):
|
||
with open(manifest_path) as f:
|
||
for line in f:
|
||
line = line.strip()
|
||
if line:
|
||
try:
|
||
existing.append(json.loads(line))
|
||
except json.JSONDecodeError:
|
||
pass
|
||
|
||
# ── 2. Hash existing pool files for deduplication ────────────────────────────
|
||
def file_hash(path):
|
||
with open(path, 'rb') as fh:
|
||
return hashlib.sha256(fh.read()).hexdigest()
|
||
|
||
existing_hashes = set()
|
||
for entry in existing:
|
||
fpath = os.path.join(seeds_dir, entry.get('file', ''))
|
||
if os.path.exists(fpath):
|
||
existing_hashes.add(file_hash(fpath))
|
||
|
||
# ── 3. Collect qualifying candidates from generation JSONL files ──────────────
|
||
qualifying = [] # (fitness, push3_path, gen_idx, cand_str)
|
||
|
||
for fname in sorted(os.listdir(output_dir)):
|
||
if not (fname.startswith('generation_') and fname.endswith('.jsonl')):
|
||
continue
|
||
try:
|
||
gen_idx = int(fname[len('generation_'):-len('.jsonl')]) # validate integer suffix
|
||
except ValueError:
|
||
continue
|
||
with open(os.path.join(output_dir, fname)) as f:
|
||
for line in f:
|
||
try:
|
||
d = json.loads(line)
|
||
cid = d.get('candidate_id', '')
|
||
fitness = int(d.get('fitness', 0))
|
||
if fitness < threshold:
|
||
continue
|
||
# Canonical CID format is "candidate_XXX" (zero-padded numeric suffix,
|
||
# e.g. "candidate_001"); gen_idx is derived from the enclosing filename.
|
||
# Old runs 1–6 used "gen{N}_c{MMM}" — that format is intentionally not
|
||
# re-admitted: no surviving generation_N.jsonl files from those runs exist
|
||
# in the repo, so migration is out of scope. Any entry that does not match
|
||
# "candidate_" is skipped permanently.
|
||
if not cid.startswith('candidate_'):
|
||
print(f'WARNING: legacy CID format {cid!r} in {fname} '
|
||
f'(gen{{N}}_c{{MMM}} from runs 1-6) — '
|
||
f'migration not supported, skipping')
|
||
continue
|
||
cand_str = cid[len('candidate_'):] # numeric suffix, e.g. "001"
|
||
push3_path = os.path.join(
|
||
work_dir, f'gen_{gen_idx}',
|
||
f'candidate_{int(cand_str):03d}.push3'
|
||
)
|
||
if os.path.exists(push3_path):
|
||
qualifying.append((fitness, push3_path, gen_idx, cand_str))
|
||
except (json.JSONDecodeError, ValueError, TypeError, AttributeError):
|
||
pass
|
||
|
||
qualifying.sort(key=lambda x: x[0], reverse=True)
|
||
|
||
# ── 4. Deduplicate and assign filenames (resolve --run-id reuse collisions) ───
|
||
new_items = [] # (fitness, push3_path, manifest_entry)
|
||
seen = set(existing_hashes)
|
||
|
||
for fitness, push3_path, gen_idx, cand_str in qualifying:
|
||
h = file_hash(push3_path)
|
||
if h in seen:
|
||
continue
|
||
seen.add(h)
|
||
# Canonical name: run{run_id}_gen{gen_idx:03d}_c{cand_str}.push3
|
||
# If a different file already occupies that name (same run-id reused), add
|
||
# a counter suffix (_r2, _r3, …) until we find an unused or same-content slot.
|
||
base = f'run{run_id}_gen{gen_idx:03d}_c{cand_str}'
|
||
filename = f'{base}.push3'
|
||
dest = os.path.join(seeds_dir, filename)
|
||
if os.path.exists(dest) and file_hash(dest) != h:
|
||
counter = 2
|
||
while True:
|
||
filename = f'{base}_r{counter}.push3'
|
||
dest = os.path.join(seeds_dir, filename)
|
||
if not os.path.exists(dest) or file_hash(dest) == h:
|
||
break
|
||
counter += 1
|
||
entry = {
|
||
'file': filename,
|
||
'fitness': fitness,
|
||
'origin': 'evolved',
|
||
'run': run_id,
|
||
'generation': gen_idx,
|
||
'date': today,
|
||
'note': f'Evolved from {seed_name} (run{run_id} gen{gen_idx})',
|
||
}
|
||
new_items.append((fitness, push3_path, entry))
|
||
|
||
if not new_items:
|
||
print(f'No new qualifying candidates from run {run_id} '
|
||
f'(threshold={threshold}, scanned {len(qualifying)} above-threshold hits)')
|
||
sys.exit(0)
|
||
|
||
# ── 5. Separate pinned (hand-written) from evolved; top-100 cap on evolved only
|
||
#
|
||
# NOTE: raw fitness values are only comparable within the same evaluation run.
|
||
# Entries whose fitness_flags contain any flag in ZERO_RATED_FLAGS are ranked
|
||
# as fitness=0 so that inflated scores do not bias pool admission or eviction.
|
||
#
|
||
# ZERO_RATED_FLAGS: canonical set of flag strings that force effective_fitness=0.
|
||
# Add new inflation/distortion flags here; no other code change is required.
|
||
ZERO_RATED_FLAGS = {
|
||
'token_value_inflation',
|
||
}
|
||
|
||
def effective_fitness(entry):
|
||
flags = entry.get('fitness_flags') or ''
|
||
if any(flag in flags for flag in ZERO_RATED_FLAGS):
|
||
return 0
|
||
return int(entry.get('fitness') or 0)
|
||
|
||
pinned = [(effective_fitness(e), e, None) for e in existing
|
||
if e.get('origin') != 'evolved']
|
||
evolved = [(effective_fitness(e), e, None) for e in existing
|
||
if e.get('origin') == 'evolved']
|
||
for fitness, push3_path, entry in new_items:
|
||
evolved.append((fitness, entry, push3_path))
|
||
|
||
evolved.sort(key=lambda x: x[0], reverse=True)
|
||
admitted_evolved = evolved[:MAX_EVOLVED]
|
||
evicted_evolved = evolved[MAX_EVOLVED:]
|
||
|
||
# ── 6. Copy admitted new files; remove evicted evolved files ─────────────────
|
||
admitted_count = 0
|
||
for _, entry, src_path in admitted_evolved:
|
||
if src_path is not None: # new candidate
|
||
dest = os.path.join(seeds_dir, entry['file'])
|
||
shutil.copy2(src_path, dest)
|
||
print(f' admitted: {entry["file"]} fitness={entry["fitness"]}')
|
||
admitted_count += 1
|
||
|
||
for _, entry, src_path in evicted_evolved:
|
||
if src_path is not None: # rejected before being copied
|
||
print(f' rejected (below pool floor): {entry["file"]} fitness={entry["fitness"]}')
|
||
else: # existing evolved entry pushed out
|
||
fpath = os.path.join(seeds_dir, entry.get('file', ''))
|
||
if os.path.exists(fpath):
|
||
os.remove(fpath)
|
||
print(f' evicted from pool: {entry["file"]} fitness={entry["fitness"]}')
|
||
|
||
# Warn if any pinned (hand-written) entry ranks below the current pool floor
|
||
if evicted_evolved and pinned:
|
||
pool_floor = evicted_evolved[0][0]
|
||
for fit, entry, _ in pinned:
|
||
if fit <= pool_floor:
|
||
print(f' WARNING: pinned seed "{entry.get("file")}" (fitness={fit}) '
|
||
f'ranks below evolved pool floor ({pool_floor}) — kept in manifest regardless')
|
||
|
||
# ── 7. Rewrite manifest.jsonl atomically via temp-file + rename ──────────────
|
||
admitted = admitted_evolved + pinned
|
||
admitted.sort(key=lambda x: x[0], reverse=True)
|
||
|
||
manifest_dir = os.path.dirname(manifest_path)
|
||
with tempfile.NamedTemporaryFile('w', dir=manifest_dir, delete=False, suffix='.tmp') as tmp:
|
||
tmp_path = tmp.name
|
||
for _, entry, _ in admitted:
|
||
tmp.write(json.dumps(entry) + '\n')
|
||
os.replace(tmp_path, manifest_path)
|
||
|
||
print(f'Pool updated: {len(admitted)} entries total '
|
||
f'({len(admitted_evolved)} evolved + {len(pinned)} pinned), '
|
||
f'+{admitted_count} from run {run_id}')
|
||
PYEOF
|
||
|
||
while IFS= read -r _line; do log " $_line"; done < "$_ADMISSION_OUT"
|
||
if [ "$_ADMISSION_RC" -ne 0 ]; then
|
||
log " WARNING: seed pool admission failed (exit $_ADMISSION_RC) — pool unchanged"
|
||
fi
|