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'parallel' proves array bounds
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@@ -246,6 +246,7 @@ proc canon*(n: PNode): PNode =
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result.sons[0] = opLen.newSymNode
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else: discard
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result = skipConv(result)
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result = reassociation(result)
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# most important rule: (x-4) < a.len --> x < a.len+4
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case result.getMagic
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@@ -672,7 +673,9 @@ proc simpleSlice*(a, b: PNode): BiggestInt =
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else:
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result = -1
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proc ple(m: TModel; a, b: PNode): TImplication =
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proc pleViaModel(model: TModel; aa, bb: PNode): TImplication
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proc ple(m: TModel; a, b: PNode): TImplication =
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template `<=?`(a,b): expr = ple(m,a,b) == impYes
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# 0 <= 3
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if a.isValue and b.isValue:
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@@ -717,12 +720,68 @@ proc ple(m: TModel; a, b: PNode): TImplication =
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if a[1] <=? b or a[2] <=? b: return impYes
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# use the knowledge base:
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return doesImply(m, opLe.buildCall(a, b))
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return pleViaModel(m, a, b)
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#return doesImply(m, opLe.buildCall(a, b))
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type TReplacements = seq[tuple[a,b: PNode]]
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proc replaceSubTree(n, x, by: PNode): PNode =
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if sameTree(n, x):
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result = by
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elif hasSubTree(n, x):
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result = shallowCopy(n)
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for i in 0 .. safeLen(n)-1:
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result.sons[i] = replaceSubTree(n.sons[i], x, by)
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else:
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result = n
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proc applyReplacements(n: PNode; rep: TReplacements): PNode =
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result = n
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for x in rep: result = result.replaceSubTree(x.a, x.b)
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proc pleViaModelRec(m: var TModel; a, b: PNode): TImplication =
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# now check for inferrable facts: a <= b and b <= c implies a <= c
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for i in 0..m.high:
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let fact = m[i]
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if fact != nil and fact.getMagic in someLe:
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# x <= y implies a <= b if a <= x and y <= b
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let x = fact[1]
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let y = fact[2]
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# mark as used:
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m[i] = nil
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if ple(m, a, x) == impYes:
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if ple(m, y, b) == impYes: return impYes
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#if pleViaModelRec(m, y, b): return impYes
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proc pleViaModel(model: TModel; aa, bb: PNode): TImplication =
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# compute replacements:
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var replacements: TReplacements = @[]
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for fact in model:
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if fact != nil and fact.getMagic in someEq:
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let a = fact[1]
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let b = fact[2]
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if a.kind == nkSym: replacements.add((a,b))
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else: replacements.add((b,a))
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var m: TModel
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var a = aa
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var b = bb
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if replacements.len > 0:
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m = @[]
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# make the other facts consistent:
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for fact in model:
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if fact != nil and fact.getMagic notin someEq:
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# XXX 'canon' should not be necessary here, but it is
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m.add applyReplacements(fact, replacements).canon
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a = applyReplacements(aa, replacements)
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b = applyReplacements(bb, replacements)
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else:
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# we have to make a copy here, because the model will be modified:
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m = model
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result = pleViaModelRec(m, a, b)
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proc proveLe*(m: TModel; a, b: PNode): TImplication =
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#echo "ROOT ", renderTree(a), " <=? ", b.rendertree
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let x = canon(opLe.buildCall(a, b))
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#echo renderTree(res)
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#echo "ROOT ", renderTree(x[1]), " <=? ", renderTree(x[2])
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result = ple(m, x[1], x[2])
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if result == impUnknown:
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# try an alternative: a <= b iff not (b < a) iff not (b+1 <= a):
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@@ -59,7 +59,8 @@ type
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TDirection = enum
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ascending, descending
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MonotonicVar = object
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v: PSym
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v, alias: PSym # to support the ordinary 'countup' iterator
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# we need to detect aliases
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lower, upper, stride: PNode
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dir: TDirection
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blacklisted: bool # blacklisted variables that are not monotonic
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@@ -83,7 +84,7 @@ proc initAnalysisCtx(): AnalysisCtx =
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proc lookupSlot(c: AnalysisCtx; s: PSym): int =
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for i in 0.. <c.locals.len:
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if c.locals[i].v == s: return i
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if c.locals[i].v == s or c.locals[i].alias == s: return i
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return -1
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proc getSlot(c: var AnalysisCtx; v: PSym): ptr MonotonicVar =
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@@ -104,6 +105,11 @@ proc gatherArgs(c: var AnalysisCtx; n: PNode) =
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c.args.add root
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gatherArgs(c, n[i])
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proc isSingleAssignable(n: PNode): bool =
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n.kind == nkSym and (let s = n.sym;
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s.kind in {skTemp, skForVar, skLet} and
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{sfAddrTaken, sfGlobal} * s.flags == {})
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proc isLocal(n: PNode): bool =
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n.kind == nkSym and (let s = n.sym;
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s.kind in {skResult, skTemp, skForVar, skVar, skLet} and
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@@ -290,16 +296,16 @@ proc analyseCase(c: var AnalysisCtx; n: PNode) =
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proc analyseIf(c: var AnalysisCtx; n: PNode) =
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analyse(c, n.sons[0].sons[0])
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let oldFacts = c.guards.len
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addFact(c.guards, n.sons[0].sons[0])
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addFact(c.guards, canon(n.sons[0].sons[0]))
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analyse(c, n.sons[0].sons[1])
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for i in 1.. <n.len:
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let branch = n.sons[i]
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setLen(c.guards, oldFacts)
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for j in 0..i-1:
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addFactNeg(c.guards, n.sons[j].sons[0])
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addFactNeg(c.guards, canon(n.sons[j].sons[0]))
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if branch.len > 1:
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addFact(c.guards, branch.sons[0])
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addFact(c.guards, canon(branch.sons[0]))
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for i in 0 .. <branch.len:
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analyse(c, branch.sons[i])
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setLen(c.guards, oldFacts)
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@@ -307,9 +313,12 @@ proc analyseIf(c: var AnalysisCtx; n: PNode) =
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proc analyse(c: var AnalysisCtx; n: PNode) =
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case n.kind
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of nkAsgn, nkFastAsgn:
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# since we already ensure sfAddrTaken is not in s.flags, we only need to
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# prevent direct assignments to the monotonic variable:
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if n[0].isLocal:
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if n[0].isSingleAssignable and n[1].isLocal:
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let slot = c.getSlot(n[1].sym)
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slot.alias = n[0].sym
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elif n[0].isLocal:
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# since we already ensure sfAddrTaken is not in s.flags, we only need to
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# prevent direct assignments to the monotonic variable:
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let slot = c.getSlot(n[0].sym)
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slot.blackListed = true
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invalidateFacts(c.guards, n[0])
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@@ -348,13 +357,13 @@ proc analyse(c: var AnalysisCtx; n: PNode) =
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# loop may never execute:
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let oldState = c.locals.len
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let oldFacts = c.guards.len
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addFact(c.guards, n.sons[0])
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addFact(c.guards, canon(n.sons[0]))
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analyse(c, n.sons[1])
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setLen(c.locals, oldState)
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setLen(c.guards, oldFacts)
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# we know after the loop the negation holds:
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if not hasSubnodeWith(n.sons[1], nkBreakStmt):
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addFactNeg(c.guards, n.sons[0])
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addFactNeg(c.guards, canon(n.sons[0]))
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dec c.inLoop
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of nkTypeSection, nkProcDef, nkConverterDef, nkMethodDef, nkIteratorDef,
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nkMacroDef, nkTemplateDef, nkConstSection, nkPragma:
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@@ -429,6 +438,7 @@ proc liftParallel*(owner: PSym; n: PNode): PNode =
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# - detect monotonic local integer variables
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# - detect used slices
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# - detect used arguments
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#echo "PAR ", renderTree(n)
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var a = initAnalysisCtx()
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let body = n.lastSon
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24
tests/parallel/tforstmt.nim
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24
tests/parallel/tforstmt.nim
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@@ -0,0 +1,24 @@
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discard """
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output: '''3
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4
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5
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6
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7'''
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sortoutput: true
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"""
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import threadpool, math
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proc p(x: int) =
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echo x
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proc testFor(a, b: int; foo: var openArray[int]) =
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parallel:
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for i in max(a, 0) .. min(b, foo.len-1):
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spawn p(foo[i])
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var arr = [0, 1, 2, 3, 4, 5, 6, 7]
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testFor(3, 10, arr)
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