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OSTRICH is an SMT solver for string constraints.
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/**
* This file is part of Ostrich, an SMT solver for strings.
* Copyright (c) 2020 Zhilei Han. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the name of the authors nor the names of their
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,
* INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
* HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
* STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED
* OF THE POSSIBILITY OF SUCH DAMAGE.
*/
package ostrich.preop
import ostrich.automata.{Regex2PFA, PrioStreamingTransducer, PrioAutomaton,
TLabelOps, AnchoredLabels, StreamingTransducer}
import StreamingTransducer._
import AnchoredLabels._
import scala.collection.mutable.{HashSet => MHashSet,
LinkedHashSet => MLinkedHashSet,
HashMap => MHashMap,
Stack => MStack,
MultiMap => MMultiMap,
Set => MSet}
import dk.brics.automaton.{Automaton => BAutomaton,
State => BState,
Transition => BTransition}
object ExtractPreOp {
import Regex2PFA.completeInfo
def apply(index : Int, pat : completeInfo) : PreOp =
StreamingTransducerPreOp(buildPSST(index, pat))
def buildPSST(index: Int, pat : completeInfo) : PrioStreamingTransducer = {
val (aut, numCap, state2Caps, cap2Init) = pat
// we just need one capture group
val builder = PrioStreamingTransducer.getBuilder(1)
type tranState = PrioStreamingTransducer#State
type autState = PrioAutomaton.State
type TLabel = PrioAutomaton.TLabel
val LabelOps : TLabelOps[TLabel] = AnchoredLabelOps
// some common update operations
def nochange : Seq[Seq[UpdateOp]] = List(List(RefVariable(0)))
def append_after : Seq[Seq[UpdateOp]] = List(List(RefVariable(0), Offset(0)))
def clear : Seq[Seq[UpdateOp]] = List(List())
def single : Seq[Seq[UpdateOp]] = List(List(Offset(0)))
val output = List(RefVariable(0))
val sMap = new MHashMap[tranState, autState]
val sMapRev = new MHashMap[autState, tranState]
// states of new transducer to be constructed
val worklist = new MStack[tranState]
def mapState(s : tranState, q : autState) = {
sMap += (s -> q)
sMapRev += (q -> s)
}
// creates and adds to worklist any new states if needed
def getState(as : autState) : tranState = {
sMapRev.getOrElse(as, {
val s = builder.getNewState
mapState(s, as)
builder.setAccept(s, false, output)
worklist.push(s)
s
})
}
val tranInit = builder.initialState
builder.setInitialState(tranInit)
val autInit = getState(aut.initial)
//val initial_activated = state2Caps.getOrElse(aut.initial, Set()) contains index
//if (initial_activated) {
//builder.addPreETransition(tranInit, List(List()), autInit) // initialize to epsilon
//} else {
//builder.addPreETransition(tranInit, List(List(Constant('\u0000'))), autInit) // initialize to null
//}
builder.addPreETransition(tranInit, List(List(Constant('\u0000'))), autInit) // initialize to null
def getOps(current : autState, next: autState) = {
val caps_activated_old = state2Caps.getOrElse(current, Set())
val is_activated_old = caps_activated_old contains index
val caps_activated = state2Caps.getOrElse(next, Set())
val is_activated = caps_activated contains index
if (is_activated && is_activated_old) {
// so the transition current -> next is in the
// subgraph which is the counterpart of capture group `index`..
// now let's check if `current` is in the initial states:
val initials_of_index = cap2Init.getOrElse(index, Set())
val is_current_initial = initials_of_index contains current
if (is_current_initial) {
// the subgraph is 're-entered', clear the content
clear
} else {
// normal case
append_after
}
} else {
// the transition is not relevant to capture group `index`
nochange
}
}
// dfs
while (!worklist.isEmpty) {
val ts = worklist.pop()
val as = sMap(ts)
var priority = Int.MaxValue
for (trans <- aut.preTran.get(as).iterator; next <- trans) {
builder.addPreETransition(ts, getOps(as, next), priority, getState(next))
priority -= 1
}
priority = Int.MaxValue
for (trans <- aut.postTran.get(as).iterator; next <- trans) {
builder.addPostETransition(ts, getOps(as, next), priority, getState(next))
priority -= 1
}
priority = Int.MaxValue
for (trans <- aut.sTran.get(as).iterator; (lbl, next) <- trans) {
builder.addTransition(ts, lbl, getOps(as, next), priority, getState(next))
priority -= 1
}
}
val (f1, f2) = aut.accepting
for (s <- f1) {
val tranEnd = getState(s)
builder.setAccept(tranEnd, true, output)
}
for (s <- f2) {
val tranEnd = getState(s)
builder.setAccept(tranEnd, true, output)
}
val tran = builder.getTransducer
tran
}
}