+++ /dev/null
-module ProposalMatchConfig where
-
-type Pref = Int
-type Wt = Double -- must implement RealFrac
-
-numAsWt x = fromInteger (toInteger x) :: Wt
-
-reviewsEachProposal = 3 :: Int
-
-prefIsExpert p = p <= 10
-prefIsKnowledgeable p = p <= 20
-
-prefIsBoring p = p > 15
-prefIsVeryBoring p = p > 25
-
-prefIsConflict p = p >= 40
-
--- For now this is absolute. Later it might be proportional to a reviewer's
--- target load.
-loadTolerance = 1 :: Int
-
--- Cost to overload by one review.
--- tx = 0 at target load, 1 at end of tolerance.
-marginalLoadCost tx = 1000 + tx*1000 :: Wt
-
--- Cost to review a boring (or very boring) proposal.
--- lx = 0 at no load, 1 at target load.
-marginalBoringCost lx = 1000 + lx*1000 :: Wt
--- Additional cost to review a very boring proposal.
-marginalVeryBoringCost lx = 1000 + lx*1000 :: Wt
-
--- Cost to make a review.
--- I'm using quadratic cost functions as a first attempt.
-assignmentCost pref = (numAsWt 10 + pref) ^ 2 :: Wt
-
--- Bonus for a first knowledgeable or expert review.
-knowledgeableBonus = 1000 :: Wt
-
--- Bonus for an additional expert review.
-expertBonus = 1000 :: Wt