# Mining-rate benchmark: measure the whole-machine token mint rate vs difficulty,
# using the fastest solver (the open-network case). Isolated so it can be run
# alone under idle conditions:
#   python -m equix_bench run --config configs/mining.toml --out results/mining
[run]
impls = ["equix-rust"]

[crosscheck]
enabled = false

[mining]
enabled = true
impls = ["equix-rust"]          # everyone in an open network uses the fastest solver
challenge_base = "abcd"
# Expected attempts per token grow ~linearly with effort (measured ≈0.3-0.5·E,
# with several solutions per solve attempt each drawing an effort value), so a
# token at high E is genuinely expensive to mint AND to average. We measure a
# 100→3000 curve (30× span, enough to show the ~1/E trend) and extrapolate.
efforts = [100, 300, 1000, 3000]
samples = 10                    # independent 1-core mints per difficulty (distinct nonces)
workers = 0                     # 0 = all cores, for the whole-machine rate
tokens_per_worker = 5           # tokens each concurrent worker streams (averages nonce variance)
nonce_bytes = 8
max_attempts = 1500000