# Full-scale (true k=2160) runs for the final headline + variance figures only.
# ~100x slower per config than default.yaml, so the grid is deliberately small.
# Note: T = 6*floor(2160/f) = 388,800 slots per epoch — expect minutes per config.
# Sweep axes (cartesian product x replicates); every value is a list.
n_nodes: [1000]                  # number of nodes / stake holders
stake_dist: [uniform, pareto]    # stake distribution (uniform = equal, pareto = heavy-tailed)
latency: [0, 2, 8]               # L: network latency in slots; block visible to others at t+L
max_uncles: [0, 1, 2, 4]         # U: max uncle references per block (0 = baseline, no uncles)
uncle_strategy: [oldest]         # uncle selection: oldest-first fill
replicates: 4                    # independent RNG replicates per grid cell
base:                            # per-run settings shared by every cell (not swept)
  k: 2160                        # true security parameter
  epochs: 12                     # epochs simulated per trajectory
  f: 0.03333333333333333        # slot activation coefficient (default 1/30); configurable
  genesis_d_factor: 0.5          # genesis D_est = factor x true total stake
  pareto_shape: 1.16             # Pareto (Lomax) tail index for the pareto stake distribution