Agda-2.4.2.4: A dependently typed functional programming language and proof assistant

Safe HaskellNone
LanguageHaskell98

Agda.Termination.Order

Contents

Description

An Abstract domain of relative sizes, i.e., differences between size of formal function parameter and function argument in recursive call; used in the termination checker.

Synopsis

Structural orderings

data Order Source

In the paper referred to above, there is an order R with Unknown <= Le <= Lt.

This is generalized to Unknown <= 'Decr k' where Decr 1 replaces Lt and Decr 0 replaces Le. A negative decrease means an increase. The generalization allows the termination checker to record an increase by 1 which can be compensated by a following decrease by 2 which results in an overall decrease.

However, the termination checker of the paper itself terminates because there are only finitely many different call-matrices. To maintain termination of the terminator we set a cutoff point which determines how high the termination checker can count. This value should be set by a global or file-wise option.

See Call for more information.

TODO: document orders which are call-matrices themselves.

Constructors

Mat !(Matrix Int Order)

Matrix-shaped order, currently UNUSED.

Instances

Eq Order Source 
Ord Order Source 
Show Order Source 
CoArbitrary Order Source 
Arbitrary Order Source 
Arbitrary CallMatrix 
HasZero Order Source 
PartialOrd Order Source

Information order: Unknown is least information. The more we decrease, the more information we have.

When having comparable call-matrices, we keep the lesser one. Call graph completion works toward losing the good calls, tending towards Unknown (the least information).

Pretty Order Source 
Pretty CallMatrix Source 
NotWorse Order Source

It does not get worse then `increase'. If we are still decreasing, it can get worse: less decreasing.

CallComb CallMatrix Source

Call matrix multiplication.

f --(m1)--> g --(m2)--> h is combined to f --(m2 mul m1)--> h

Note the reversed order of multiplication: The matrix c1 of the second call g-->h in the sequence f-->g-->h is multiplied with the matrix c2 of the first call.

Preconditions: m1 has dimensions ar(g) × ar(f). m2 has dimensions ar(h) × ar(g).

Postcondition: m1 >*< m2 has dimensions ar(h) × ar(f).

NotWorse (CallMatrix' Order) Source 
Diagonal (CallMatrixAug cinfo) Order Source 
Ord i => NotWorse (Matrix i Order) Source

We assume the matrices have the same dimension.

decr :: (?cutoff :: CutOff) => Int -> Order Source

Smart constructor for Decr k :: Order which cuts off too big values.

Possible values for k: - ?cutoff <= k <= ?cutoff + 1.

increase :: Int -> Order -> Order Source

Raw increase which does not cut off.

decrease :: Int -> Order -> Order Source

Raw decrease which does not cut off.

(.*.) :: (?cutoff :: CutOff) => Order -> Order -> Order Source

Multiplication of Orders. (Corresponds to sequential composition.)

supremum :: (?cutoff :: CutOff) => [Order] -> Order Source

The supremum of a (possibly empty) list of Orders. More information (i.e., more decrease) is bigger. Unknown is no information, thus, smallest.

infimum :: (?cutoff :: CutOff) => [Order] -> Order Source

The infimum of a (non empty) list of Orders. Unknown is the least element, thus, dominant.

le :: Order Source

le, lt, decreasing, unknown: for backwards compatibility, and for external use.

orderMat :: Matrix Int Order -> Order Source

Smart constructor for matrix shaped orders, avoiding empty and singleton matrices.

collapseO :: (?cutoff :: CutOff) => Order -> Order Source

isDecr :: Order -> Bool Source

Matrix-shaped order is decreasing if any diagonal element is decreasing.

class NotWorse a where Source

A partial order, aimed at deciding whether a call graph gets worse during the completion.

Methods

notWorse :: a -> a -> Bool Source

Instances

NotWorse Order Source

It does not get worse then `increase'. If we are still decreasing, it can get worse: less decreasing.

NotWorse (CallMatrixAug cinfo) Source 
NotWorse (CallMatrix' Order) Source 
Ord i => NotWorse (Matrix i Order) Source

We assume the matrices have the same dimension.