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Merge pull request #218 from github/generalize-ses-to-arbitrary-collection-type
Generalize SES to arbitrary CollectionTypes
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commit
fb698f0136
@ -3,44 +3,46 @@
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/// These values are populated by a function from the coordinates of a given cell to the matrix’s element type.
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/// These values are populated by a function from the coordinates of a given cell to the matrix’s element type.
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///
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///
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/// Values are retrieved by subscripting with row/column indices. Out-of-bound indices produce `nil` values, rather than asserting.
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/// Values are retrieved by subscripting with row/column indices. Out-of-bound indices produce `nil` values, rather than asserting.
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public struct Matrix<A> {
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public struct Matrix<A, I: ForwardIndexType> {
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public init(width: Int, height: Int, compute: (Int, Int) -> A) {
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public init(across: Range<I>, down: Range<I>, compute: (I, I) -> A) {
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self.init(width: width, height: height, values: constructRowMajor(width, height: height, forEach: { i, j in Memo { compute(i, j) } }))
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self.init(across: across, down: down, values: constructRowMajor(across, down: down, forEach: { i, j in Memo { compute(i, j) } }))
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}
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}
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public let width: Int
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public let across: Range<I>
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public let height: Int
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public let down: Range<I>
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private let values: [Memo<A>]
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private let values: [Memo<A>]
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public subscript (i: Int, j: Int) -> Memo<A>? {
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public subscript (i: I, j: I) -> Memo<A>? {
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guard i < width && j < height else { return nil }
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guard across.contains(i) && down.contains(j) else { return nil }
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return values[i + j * width]
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let i = across.startIndex.distanceTo(i)
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let j = down.startIndex.distanceTo(j)
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return values[Int((i + j * across.count).toIntMax())]
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}
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}
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// MARK: Functor
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// MARK: Functor
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public func map<Other>(transform: A -> Other) -> Matrix<Other> {
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public func map<Other>(transform: A -> Other) -> Matrix<Other, I> {
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return Matrix<Other>(width: width, height: height, values: values.map { $0.map(transform) })
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return Matrix<Other, I>(across: across, down: down, values: values.map { $0.map(transform) })
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}
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}
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// MARK: Implementation details
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// MARK: Implementation details
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private init(width: Int, height: Int, values: [Memo<A>]) {
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private init(across: Range<I>, down: Range<I>, values: [Memo<A>]) {
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self.width = width
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self.across = across
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self.height = height
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self.down = down
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self.values = values
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self.values = values
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}
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}
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}
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}
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/// Constructs a row-major ordering of values produced with `forEach`.
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/// Constructs a row-major ordering of values produced with `forEach`.
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private func constructRowMajor<A>(width: Int, height: Int, @noescape forEach: (Int, Int) -> A) -> [A] {
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private func constructRowMajor<A, I: ForwardIndexType>(across: Range<I>, down: Range<I>, @noescape forEach: (I, I) -> A) -> [A] {
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var values: [A] = []
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var values: [A] = []
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values.reserveCapacity(width * height)
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values.reserveCapacity(Int(across.count.toIntMax()) * Int(down.count.toIntMax()))
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for j in 0..<height {
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for j in down {
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for i in 0..<width {
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for i in across {
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values.append(forEach(i, j))
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values.append(forEach(i, j))
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}
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}
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}
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}
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@ -1,8 +1,8 @@
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/// 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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/// 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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///
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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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/// 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<Term, Leaf, Annotation>(a: [Term], _ b: [Term], cost: Free<Leaf, Annotation, Patch<Term>> -> Int, recur: (Term, Term) -> Free<Leaf, Annotation, Patch<Term>>?) -> [Free<Leaf, Annotation, Patch<Term>>] {
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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<Term>>
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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 a.isEmpty { return b.map { .Insert($0) } }
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if b.isEmpty { return a.map { .Delete($0) } }
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if b.isEmpty { return a.map { .Delete($0) } }
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@ -20,17 +20,17 @@ public func SES<Term, Leaf, Annotation>(a: [Term], _ b: [Term], cost: Free<Leaf,
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}
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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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// 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)>>!
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var matrix: Matrix<Stream<(Diff, Int)>, C.Index>!
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matrix = Matrix(width: a.count + 1, height: b.count + 1) { i, j in
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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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// Some explanation is warranted:
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//
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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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// 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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//
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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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// 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 + 1, j]
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let right = matrix[i.successor(), j]
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let down = matrix[i, j + 1]
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let down = matrix[i, j.successor()]
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let diagonal = matrix[i + 1, j + 1]
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let diagonal = matrix[i.successor(), j.successor()]
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if let right = right, down = down, diagonal = diagonal {
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if let right = right, down = down, diagonal = diagonal {
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let here = recur(a[i], b[j])
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let here = recur(a[i], b[j])
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@ -62,7 +62,7 @@ public func SES<Term, Leaf, Annotation>(a: [Term], _ b: [Term], cost: Free<Leaf,
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return Stream.Nil
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return Stream.Nil
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}
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}
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return Array(matrix[0, 0]!.value.map { diff, _ in diff })
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return Array(matrix[a.startIndex, b.startIndex]!.value.map { diff, _ in diff })
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}
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}
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