190 lines
5.5 KiB
C++
190 lines
5.5 KiB
C++
#include "array_view.hh"
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#include "vector.hh"
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#include <functional>
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#include <iterator>
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namespace Kakoune
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{
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template<typename T>
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struct MirroredArray : public ArrayView<T>
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{
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MirroredArray(ArrayView<T> data, int size)
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: ArrayView<T>(data), size(size)
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{
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kak_assert(2 * size + 1 <= data.size());
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}
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T& operator[](int n) { return ArrayView<T>::operator[](n + size); }
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const T& operator[](int n) const { return ArrayView<T>::operator[](n + size); }
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private:
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int size;
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};
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struct Snake{ int x, y, u, v; bool add; };
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template<typename Iterator, typename Equal>
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Snake find_end_snake_of_further_reaching_dpath(Iterator a, int N, Iterator b, int M,
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const MirroredArray<int>& V,
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const int D, const int k, Equal eq)
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{
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int x; // our position along a
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const bool add = k == -D or (k != D and V[k-1] < V[k+1]);
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// if diagonal on the right goes further along x than diagonal on the left,
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// then we take a vertical edge from it to this diagonal, hence x = V[k+1]
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if (add)
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x = V[k+1];
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// else, we take an horizontal edge from our left diagonal,x = V[k-1]+1
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else
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x = V[k-1]+1;
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int y = x - k; // we are by construction on diagonal k, so our position along
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// b (y) is x - k.
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int u = x, v = y;
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// follow end snake along diagonal k
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while (u < N and v < M and eq(a[u], b[v]))
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++u, ++v;
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return { x, y, u, v, add };
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}
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struct SnakeLen : Snake
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{
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SnakeLen(Snake s, int d) : Snake(s), d(d) {}
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int d;
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};
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template<typename Iterator, typename Equal>
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SnakeLen find_middle_snake(Iterator a, int N, Iterator b, int M,
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ArrayView<int> data1, ArrayView<int> data2,
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Equal eq)
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{
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const int delta = N - M;
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MirroredArray<int> V1{data1, N + M};
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MirroredArray<int> V2{data2, N + M};
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std::reverse_iterator<Iterator> ra{a + N}, rb{b + M};
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for (int D = 0; D <= (M + N + 1) / 2; ++D)
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{
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for (int k1 = -D; k1 <= D; k1 += 2)
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{
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auto p = find_end_snake_of_further_reaching_dpath(a, N, b, M, V1, D, k1, eq);
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V1[k1] = p.u;
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const int k2 = -(k1 - delta);
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if ((delta % 2 != 0) and -(D-1) <= k2 and k2 <= (D-1))
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{
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if (V1[k1] + V2[k2] >= N)
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return { p, 2 * D - 1 };// return last snake on forward path
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}
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}
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for (int k2 = -D; k2 <= D; k2 += 2)
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{
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auto p = find_end_snake_of_further_reaching_dpath(ra, N, rb, M, V2, D, k2, eq);
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V2[k2] = p.u;
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const int k1 = -(k2 - delta);
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if ((delta % 2 == 0) and -D <= k1 and k1 <= D)
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{
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if (V1[k1] + V2[k2] >= N)
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return { { N - p.u, M - p.v, N - p.x , M - p.y } , 2 * D };// return last snake on reverse path
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}
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}
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}
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kak_assert(false);
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return { {}, 0 };
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}
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struct Diff
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{
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enum { Keep, Add, Remove } mode;
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int len;
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int posB;
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};
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template<typename Iterator, typename Equal>
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void find_diff_rec(Iterator a, int offA, int lenA,
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Iterator b, int offB, int lenB,
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ArrayView<int> data1, ArrayView<int> data2,
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Equal eq, Vector<Diff>& diffs)
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{
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if (lenA > 0 and lenB > 0)
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{
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auto middle_snake = find_middle_snake(a + offA, lenA, b + offB, lenB, data1, data2, eq);
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if (middle_snake.d > 1)
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{
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find_diff_rec(a, offA, middle_snake.x,
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b, offB, middle_snake.y,
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data1, data2, eq, diffs);
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if (int len = middle_snake.u - middle_snake.x)
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diffs.push_back({Diff::Keep, len, 0});
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find_diff_rec(a, offA + middle_snake.u, lenA - middle_snake.u,
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b, offB + middle_snake.v, lenB - middle_snake.v,
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data1, data2, eq, diffs);
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}
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else if (middle_snake.d == 1)
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{
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int diag = 0;
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while (eq(a[offA + diag], b[offB + diag]))
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++diag;
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if (diag != 0)
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diffs.push_back({Diff::Keep, diag, 0});
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if (middle_snake.add)
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diffs.push_back({Diff::Add, 1, offB + middle_snake.y-1});
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else
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diffs.push_back({Diff::Remove, 1, 0});
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}
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}
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else if (lenB > 0)
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diffs.push_back({Diff::Add, lenB, offB});
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else if (lenA > 0)
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diffs.push_back({Diff::Remove, lenA, 0});
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}
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inline void compact_diffs(Vector<Diff>& diffs)
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{
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if (diffs.size() < 2)
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return;
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auto out_it = diffs.begin();
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for (auto it = out_it + 1; it != diffs.end(); ++it)
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{
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if (it->mode == out_it->mode and
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(it->mode != Diff::Add or
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it->posB == out_it->posB + out_it->len))
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out_it->len += it->len;
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else if (++out_it != it)
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*out_it = *it;
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}
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diffs.erase(out_it+1, diffs.end());
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}
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template<typename Iterator, typename Equal = std::equal_to<typename std::iterator_traits<Iterator>::value_type>>
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Vector<Diff> find_diff(Iterator a, int N, Iterator b, int M,
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Equal eq = Equal{})
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{
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const int max = 2 * (N + M) + 1;
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Vector<int> data(2*max);
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Vector<Diff> diffs;
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find_diff_rec(a, 0, N, b, 0, M,
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{data.data(), (size_t)max}, {data.data() + max, (size_t)max},
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eq, diffs);
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compact_diffs(diffs);
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return diffs;
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}
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}
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