+ instance : FiberFunctor (Action.forget FintypeCat G)
+ instance : FiberFunctor (forget₂ (Action FintypeCat G) FintypeCat)
+ instance : GaloisCategory (Action FintypeCat G)
+ instance : PreGaloisCategory (Action FintypeCat G)
+ instance : PreservesFiniteLimits (forget (Action FintypeCat G)) := by
+ instance [LeftRigidCategory V] : LeftRigidCategory (SingleObj H ⥤ V) := by
+ instance [RightRigidCategory V] : RightRigidCategory (SingleObj H ⥤ V) := by
+ instance [RigidCategory V] : RigidCategory (SingleObj H ⥤ V) := by
+ instance {G : Type u} [Monoid G] (X : Action FintypeCat G) : MulAction G X.V
+ instance {X Y : Action FintypeCat G} (f : X ⟶ Y) :
- instance : FiberFunctor (Action.forget FintypeCat (MonCat.of G))
- instance : FiberFunctor (forget₂ (Action FintypeCat (MonCat.of G)) FintypeCat)
- instance : GaloisCategory (Action FintypeCat (MonCat.of G))
- instance : PreGaloisCategory (Action FintypeCat (MonCat.of G))
- instance : PreservesFiniteLimits (forget (Action FintypeCat (MonCat.of G))) := by
- instance [LeftRigidCategory V] : LeftRigidCategory (SingleObj (H : MonCat.{u}) ⥤ V) := by
- instance [RightRigidCategory V] : RightRigidCategory (SingleObj (H : MonCat.{u}) ⥤ V) := by
- instance [RigidCategory V] : RigidCategory (SingleObj (H : MonCat.{u}) ⥤ V) := by
- instance {G : MonCat.{u}} (X : Action FintypeCat G) : MulAction G X.V := Action.instMulAction X
- instance {G : Type u} [Group G] (X : Action FintypeCat (MonCat.of G)) : MulAction G X.V
- instance {X Y : Action FintypeCat (MonCat.of G)} (f : X ⟶ Y) :
- of_ρ_apply
- tensorUnit_ρ'
- tensor_ρ'

## summary with just the declaration names:
./scripts/declarations_diff.sh <optional_commit>

## more verbose report:
./scripts/declarations_diff.sh long <optional_commit>

The doc-module for script/declarations_diff.sh contains some details about this script.

Current commit b9101beae5
Reference commit 42e56d7453

You can run this locally as

./scripts/technical-debt-metrics.sh pr_summary

• The relative value is the weighted sum of the differences with weight given by the inverse of the current value of the statistic.
• The absolute value is the relative value divided by the total sum of the inverses of the current values (i.e. the weighted average of the differences).