regex/nfa.go

package main

import "slices"

const EPSILON int = 0

type assertType int

const (
	NONE assertType = iota
	SOS
	EOS
	WBOUND
	NONWBOUND
)

type State struct {
	content        stateContents    // Contents of current state
	isEmpty        bool             // If it is empty - Union operator and Kleene star states will be empty
	isLast         bool             // If it is the last state (acept state)
	output         []*State         // The outputs of the current state ie. the 'outward arrows'. A union operator state will have more than one of these.
	transitions    map[int][]*State // Transitions to different states (maps a character (int representation) to a _list of states. This is useful if one character can lead multiple states eg. ab|aa)
	isKleene       bool             // Identifies whether current node is a 0-state representing Kleene star
	assert         assertType       // Type of assertion of current node - NONE means that the node doesn't assert anything
	zeroMatchFound bool             // Whether or not the state has been used for a zero-length match - only relevant for zero states
}

// Returns true if the contents of 's' contain the value at the given index of the given string
func (s State) contentContains(str []rune, idx int) bool {
	if s.assert == SOS {
		return idx == 0
	}
	if s.assert == EOS {
		return idx == len(str)
	}
	if s.assert == WBOUND {
		return isWordBoundary(str, idx)
	}
	if s.assert == NONWBOUND {
		return !isWordBoundary(str, idx)
	}
	// Default - s.assert must be NONE
	return slices.Contains(s.content, int(str[idx]))
}

// Returns the matches for the character at the given index of the given string.
// Also returns the number of matches. Returns -1 if an assertion failed.
func (s State) matchesFor(str []rune, idx int) ([]*State, int) {
	// Assertions can be viewed as 'checks'. If the check fails, we return
	// an empty array and 0.
	// If it passes, we treat it like any other state, and return all the transitions.
	if s.assert == SOS && idx != 0 {
		return make([]*State, 0), -1
	}
	if s.assert == EOS && idx != len(str) {
		return make([]*State, 0), -1
	}
	if s.assert == WBOUND && !isWordBoundary(str, idx) {
		return make([]*State, 0), -1
	}
	if s.assert == NONWBOUND && isWordBoundary(str, idx) {
		return make([]*State, 0), -1
	}
	return s.transitions[int(str[idx])], len(s.transitions[int(str[idx])])
}

type NFA struct {
	start   State
	outputs []State
}

// verifyLastStatesHelper performs the depth-first recursion needed for verifyLastStates
func verifyLastStatesHelper(state *State, visited map[*State]bool) {
	if len(state.transitions) == 0 {
		state.isLast = true
		return
	}
	//	if len(state.transitions) == 1 && len(state.transitions[state.content]) == 1 && state.transitions[state.content][0] == state { // Eg. a*
	if len(state.transitions) == 1 { // Eg. a*
		var moreThanOneTrans bool // Dummy variable, check if all the transitions for the current's state's contents have a length of one
		for _, c := range state.content {
			if len(state.transitions[c]) != 1 || state.transitions[c][0] != state {
				moreThanOneTrans = true
			}
		}
		state.isLast = !moreThanOneTrans
	}

	if state.isKleene { // A State representing a Kleene Star has transitions going out, which loop back to it. If all those transitions point to the same (single) state, then it must be a last state
		transitionDests := make([]*State, 0)
		for _, v := range state.transitions {
			transitionDests = append(transitionDests, v...)
		}
		if allEqual(transitionDests...) {
			state.isLast = true
			return
		}
	}
	if visited[state] == true {
		return
	}
	visited[state] = true
	for _, states := range state.transitions {
		for i := range states {
			if states[i] != state {
				verifyLastStatesHelper(states[i], visited)
			}
		}
	}
}

// verifyLastStates enables the 'isLast' flag for the leaf nodes (last states)
func verifyLastStates(start []*State) {
	verifyLastStatesHelper(start[0], make(map[*State]bool))
}

func concatenate(s1 *State, s2 *State) *State {
	for i := range s1.output {
		for _, c := range s2.content { // Create transitions for every element in s2's content to s2'
			s1.output[i].transitions[c], _ = unique_append(s1.output[i].transitions[c], s2)
		}
	}
	s1.output = s2.output
	return s1
}

func kleene(s1 State) *State {
	toReturn := &State{}
	toReturn.transitions = make(map[int][]*State)
	toReturn.content = newContents(EPSILON)
	toReturn.isEmpty = true
	toReturn.isKleene = true
	toReturn.output = append(toReturn.output, toReturn)
	for i := range s1.output {
		for _, c := range toReturn.content {
			s1.output[i].transitions[c], _ = unique_append(s1.output[i].transitions[c], toReturn)
		}
	}
	for _, c := range s1.content {
		toReturn.transitions[c], _ = unique_append(toReturn.transitions[c], &s1)
	}
	return toReturn
}

func alternate(s1 *State, s2 *State) *State {
	toReturn := &State{}
	toReturn.transitions = make(map[int][]*State)
	toReturn.output = append(toReturn.output, s1.output...)
	toReturn.output = append(toReturn.output, s2.output...)
	// Unique append is used here (and elsewhere) to ensure that,
	// for any given transition, a state can only be mentioned once.
	// For example, given the transition 'a', the state 's1' can only be mentioned once.
	// This would lead to multiple instances of the same set of match indices, since both
	// 's1' states would be considered to match.
	for _, c := range s1.content {
		toReturn.transitions[c], _ = unique_append(toReturn.transitions[c], s1)
	}
	for _, c := range s2.content {
		toReturn.transitions[c], _ = unique_append(toReturn.transitions[c], s2)
	}
	toReturn.content = newContents(EPSILON)
	toReturn.isEmpty = true

	return toReturn
}