# Bounds for fixture 4 (paused_campaign).
#
# Ground truth at campaign-level: 1 campaign of 2 observation rows
# (one per DSL actor — modeling the operator's two operational
# windows). A correct algorithm scores 1.0 on every metric.
#
# Completeness is the load-bearing metric: a clusterer that lets a
# multi-day silent period split the campaign tanks completeness
# (the one true class is split across two predicted clusters,
# matching the gap). The adversarial time_window_clusterer
# demonstrates this and the bound below rejects it.
#
# This fixture is CAMPAIGN-LEVEL ONLY (see the fixture YAML for
# why). No identity-level scoring.
#
# Bounds are loose at v1; tighten as the algorithm matures.
adjusted_rand_index:
  min: 1.0
homogeneity:
  min: 1.0
completeness:
  min: 1.0
singleton_recall:
  min: 1.0