plausible
: generators for functions #
This file defines Sampleable
instances for α → β
functions and
Int → Int
injective functions.
Functions are generated by creating a list of pairs and one more value using the list as a lookup table and resorting to the additional value when a value is not found in the table.
Injective functions are generated by creating a list of numbers and a permutation of that list. The permutation insures that every input is mapped to a unique output. When an input is not found in the list the input itself is used as an output.
Injective functions f : α → α
could be generated easily instead of
Int → Int
by generating a List α
, removing duplicates and creating a
permutation. One has to be careful when generating the domain to make
it vast enough that, when generating arguments to apply f
to,
they argument should be likely to lie in the domain of f
. This is
the reason that injective functions f : Int → Int
are generated by
fixing the domain to the range [-2*size .. 2*size]
, with size
the size parameter of the gen
monad.
Much of the machinery provided in this file is applicable to generate
injective functions of type α → α
and new instances should be easy
to define.
Other classes of functions such as monotone functions can generated using similar techniques. For monotone functions, generating two lists, sorting them and matching them should suffice, with appropriate default values. Some care must be taken for shrinking such functions to make sure their defining property is invariant through shrinking. Injective functions are an example of how complicated it can get.
Data structure specifying a total function using a list of pairs and a default value returned when the input is not in the domain of the partial function.
withDefault f y
encodes x => f x
when x ∈ f
and x => y
otherwise.
We use Σ
to encode mappings instead of ×
because we
rely on the association list API defined in Mathlib/Data/List/Sigma.lean
.
- withDefault: {α : Type u} → {β : Type v} → List ((_ : α) × β) → β → Plausible.TotalFunction α β
Instances For
Equations
- Plausible.TotalFunction.inhabited = { default := Plausible.TotalFunction.withDefault ∅ default }
Compose a total function with a regular function on the left
Equations
- One or more equations did not get rendered due to their size.
Instances For
Apply a total function to an argument.
Equations
- One or more equations did not get rendered due to their size.
Instances For
Implementation of Repr (TotalFunction α β)
.
Creates a string for a given Finmap
and output, x₀ => y₀, .. xₙ => yₙ
for each of the entries. The brackets are provided by the calling function.
Equations
- One or more equations did not get rendered due to their size.
Instances For
Produce a string for a given TotalFunction
.
The output is of the form [x₀ => f x₀, .. xₙ => f xₙ, _ => y]
.
Equations
Instances For
Equations
- Plausible.TotalFunction.instRepr α β = { reprPrec := fun (f : Plausible.TotalFunction α β) (x : Nat) => Std.Format.text f.repr }
Shrink a total function by shrinking the lists that represent it.
Equations
- One or more equations did not get rendered due to their size.
Instances For
Equations
- Plausible.TotalFunction.shrink.dedup m' = List.foldl Plausible.TotalFunction.shrink.dedup.insertKey [] m'
Instances For
Equations
- Plausible.TotalFunction.shrink.dedup.insertKey [] pair = [pair]
- Plausible.TotalFunction.shrink.dedup.insertKey (x :: xs_2) pair = if pair.fst = x.fst then pair :: xs_2 else x :: Plausible.TotalFunction.shrink.dedup.insertKey xs_2 pair
Instances For
Equations
- One or more equations did not get rendered due to their size.
Equations
- One or more equations did not get rendered due to their size.
Equations
- One or more equations did not get rendered due to their size.