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Partial evaluation before extraction
F* supports normalization, or partial evaluation. At selected points in the codebase, F* terms are normalized, using a symbolic evaluator, or normalizer, based on the Krivine Abstract Machine. For instance, before extracting a term, we normalize it.
The normalization depends on a selected set of steps; these are listed at https://github.com/FStarLang/FStar/blob/master/src/typechecker/normalize.fs#L44 -- for instance, extraction normalizes the body of let-bindings as follows:
let lbdef = N.normalize [N.AllowUnboundUniverses; N.EraseUniverses;
N.Inlining; N.Eager_unfolding;
N.Exclude N.Zeta; N.PureSubtermsWithinComputations; N.Primops]
tcenv lb.lbdef in
This is not configurable by the user.
Of particular relevance are the Primops
and PureSubtermsWithinComputations
normalization steps.
Primsops
means that the F* normalizer reduces some primitive operations (see https://github.com/FStarLang/FStar/blob/master/src/typechecker/normalize.fs#L441). Currently, these are:
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Const.op_Addition
,Const.op_Subtraction
,Const.op_Multiply
,Const.op_Division
,Const.op_LT
,Const.op_LTE
,Const.op_GT
,Const.op_GTE
,Const.op_Modulus
-- these are the primitive operations that operate on theint
type defined in Prims - for the following classes of machine integers:
Int8
,UInt8
,Int16
,UInt16
,Int32
,UInt32
,Int64
,UInt64
,UInt128
, we normalize three operations:add
,sub
andmul
-- this is insufficient and we should normalize more operations
In particular, we fail to normalize boolean operations (boo!), modulo operations for machine integers, divisions, underspecified additions, shifts, etc. etc. We don't even have boolean negation.
Recursively descend under effectful abstractions to find pure subterms that can be normalized according to the current normalization steps.
References to top-level definitions, such generic
below, may reduce into their definition, if marked as inline_for_extraction
, or unfold
.
list_of_string
is properly reduced by the normalizer -- I suspect this is for the evaluation of Printf.
Decidable equalities are also reduced by the normalizer, using a comparison routine (see eq_tm
in syntax/util.fs
) that hopefully corresponds to the same thing as the run-time OCaml polymorphic comparison (which is what we use for extracted code).
Pure applications are normalized, of course. This allows you to leverage partial evaluation to do code specialization as follows:
jonathan@chartreuse:/tmp $ cat Test.fst
module Test
type alg = | Alg1 | Alg2
inline_for_extraction
let generic (a: alg): Tot (unit -> ML unit) =
fun () ->
match a with
| Alg1 ->
FStar.IO.print_string "special case 1"
| Alg2 ->
FStar.IO.print_string "special case 2"
let specialized1 = generic Alg1
let specialized2 = generic Alg2
the final two lines are extracted as:
# 14 "Test.fst"
let specialized1 : Prims.unit -> Prims.unit = (fun uu____31 -> (FStar_IO.print_string "special case 1"))
# 15 "Test.fst"
let specialized2 : Prims.unit -> Prims.unit = (fun uu____38 -> (FStar_IO.print_string "special case 2"))
JP: actually turns out you don't even need to do the explicit currification