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72 lines
3.9 KiB
Swift
72 lines
3.9 KiB
Swift
/// Computes the SES (shortest edit script), i.e. the shortest sequence of diffs (`Free<Leaf, Annotation, Patch<Term>>`) for two arrays of `Term`s which would suffice to transform `a` into `b`.
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///
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/// This is computed w.r.t. an `equals` function, which computes the equality of leaf nodes within terms, and a `recur` function, which produces diffs representing matched-up terms.
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public func SES<Leaf, Annotation, C: CollectionType>(a: C, _ b: C, cost: Free<Leaf, Annotation, Patch<C.Generator.Element>> -> Int, recur: (C.Generator.Element, C.Generator.Element) -> Free<Leaf, Annotation, Patch<C.Generator.Element>>?) -> [Free<Leaf, Annotation, Patch<C.Generator.Element>>] {
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typealias Diff = Free<Leaf, Annotation, Patch<C.Generator.Element>>
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if a.isEmpty { return b.map { .Insert($0) } }
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if b.isEmpty { return a.map { .Delete($0) } }
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func cons(diff: Diff, rest: Memo<Stream<(Diff, Int)>>) -> Stream<(Diff, Int)> {
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return .Cons((diff, cost(diff) + (rest.value.first?.1 ?? 0)), rest)
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}
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func costOfStream(stream: Memo<Stream<(Diff, Int)>>) -> Int {
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return stream.value.first?.1 ?? 0
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}
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func min<A>(a: A, _ rest: A..., _ isLessThan: (A, A) -> Bool) -> A {
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return rest.reduce(a, combine: { isLessThan($0, $1) ? $0 : $1 })
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}
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// A matrix whose values are streams representing paths through the edit graph, carrying both the diff & the cost of the remainder of the path.
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var matrix: Matrix<Stream<(Diff, Int)>, C.Index>!
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matrix = Matrix(across: a.startIndex..<a.endIndex.successor(), down: b.startIndex..<b.endIndex.successor()) { i, j in
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// Some explanation is warranted:
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//
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// 1. `matrix` captures itself during construction, because each vertex in the edit graph depends on other vertices. This is safe, because a) `Matrix` populates its fields lazily, and b) vertices only depend on those vertices downwards and rightwards of them.
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//
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// 2. `matrix` is sized bigger than `a.count` x `b.count`. This is safe, because a) we only get a[i]/b[j] when right/down are non-nil (respectively), and b) right/down are found by looking up elements (i + 1, j) & (i, j + 1) in the matrix, which returns `nil` when out of bounds. So we only access a[i] and b[j] when i and j are in bounds.
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let right = matrix[i.successor(), j]
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let down = matrix[i, j.successor()]
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let diagonal = matrix[i.successor(), j.successor()]
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if let diagonal = diagonal, right = right, down = down {
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let here = recur(a[i], b[j])
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// If the diff at this vertex is zero-cost, we’re not going to find a cheaper one either rightwards or downwards. We can therefore short-circuit selecting the best outgoing edge and save ourselves evaluating the entire row rightwards and the entire column downwards from this point.
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//
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// Thus, in the best case (two equal sequences), we now complete in O(n + m). However, this optimization only applies to equalities at the beginning of the edit graph; once inequalities are encountered, the remainder of the diff is effectively O(nm).
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if let here = here where cost(here) == 0 { return cons(here, rest: diagonal) }
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let right = (right, Diff.Delete(a[i]), costOfStream(right))
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let down = (down, Diff.Insert(b[j]), costOfStream(down))
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let diagonal = here.map { (diagonal, $0, costOfStream(diagonal)) }
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// nominate the best edge to continue along, not considering diagonal if `recur` returned `nil`.
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let (best, diff, _) = diagonal
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.map { min($0, right, down) { $0.2 < $1.2 } }
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?? min(right, down) { $0.2 < $1.2 }
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return cons(diff, rest: best)
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}
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// right extent of the edit graph; can only move down
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if let down = down {
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return cons(Diff.Insert(b[j]), rest: down)
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}
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// bottom extent of the edit graph; can only move right
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if let right = right {
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return cons(Diff.Delete(a[i]), rest: right)
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}
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// bottom-right corner of the edit graph
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return Stream.Nil
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}
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return Array(matrix[a.startIndex, b.startIndex]!.value.map { diff, _ in diff })
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}
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import Memo
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import Prelude
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import Stream
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