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https://github.com/MaskRay/ccls.git
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Find best match between two bounds found by Paul Heckel's diff algorithm
The best match is computed by Eugene W. Myers' O(ND) edit distance algorithm.
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@ -6,10 +6,13 @@
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#include <doctest/doctest.h>
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#include <loguru.hpp>
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#include <algorithm>
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#include <climits>
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namespace {
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constexpr int kMaxDiff = 9;
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lsPosition GetPositionForOffset(const std::string& content, int offset) {
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if (offset >= content.size())
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offset = (int)content.size() - 1;
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@ -28,6 +31,39 @@ lsPosition GetPositionForOffset(const std::string& content, int offset) {
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return result;
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}
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int MyersDiff(const char *a, int la, const char *b, int lb, int threshold) {
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assert(threshold <= kMaxDiff);
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static int v_static[kMaxDiff + 2];
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const char *ea = a + la, *eb = b + lb;
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// Strip prefix
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for (; a < ea && b < eb && *a == *b; a++, b++) {}
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// Strip suffix
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for (; a < ea && b < eb && ea[-1] == eb[-1]; ea--, eb--) {}
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la = ea - a;
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lb = eb - b;
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int* v = v_static + lb;
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v[1] = 0;
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for (int di = 0; di <= threshold; di++) {
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int low = -di + 2 * std::max(0, di - lb), high = di - 2 * std::max(0, di - la);
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for (int i = low; i <= high; i += 2) {
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int x = i == -di || (i != di && v[i-1] < v[i+1]) ? v[i+1] : v[i-1] + 1,
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y = x - i;
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while (x < la && y < lb && a[x] == b[y])
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x++, y++;
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v[i] = x;
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if (x == la && y == lb)
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return di;
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}
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}
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return threshold + 1;
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}
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int MyersDiff(const std::string& a, const std::string& b, int threshold) {
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return MyersDiff(a.data(), a.size(), b.data(), b.size(), threshold);
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}
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} // namespace
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std::vector<CXUnsavedFile> WorkingFiles::Snapshot::AsUnsavedFiles() const {
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@ -57,20 +93,6 @@ void WorkingFile::SetIndexContent(const std::string& index_content) {
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index_to_buffer.clear();
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buffer_to_index.clear();
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// TODO Remove
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// Build lookup buffer.
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index_lines_lookup.clear();
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index_lines_lookup.reserve(index_lines.size());
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for (int i = 0; i < index_lines.size(); ++i) {
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std::string index_line = Trim(index_lines[i]);
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auto it = index_lines_lookup.find(index_line);
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if (it == index_lines_lookup.end())
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index_lines_lookup[index_line] = {i + 1};
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else
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it->second.push_back(i + 1);
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}
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}
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void WorkingFile::OnBufferContentUpdated() {
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@ -79,20 +101,6 @@ void WorkingFile::OnBufferContentUpdated() {
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index_to_buffer.clear();
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buffer_to_index.clear();
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// TODO Remove
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// Build lookup buffer.
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all_buffer_lines_lookup.clear();
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all_buffer_lines_lookup.reserve(all_buffer_lines.size());
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for (int i = 0; i < all_buffer_lines.size(); ++i) {
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const std::string& buffer_line = all_buffer_lines[i];
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auto it = all_buffer_lines_lookup.find(buffer_line);
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if (it == all_buffer_lines_lookup.end())
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all_buffer_lines_lookup[buffer_line] = {i + 1};
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else
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it->second.push_back(i + 1);
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}
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}
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// Variant of Paul Heckel's diff algorithm
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@ -141,7 +149,8 @@ void WorkingFile::ComputeLineMapping() {
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for (auto h : index_hashes) {
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if (from_index[i] >= 0) {
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auto it = hash_to_unique.find(h);
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if (it != hash_to_unique.end() && it->second >= 0) {
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if (it != hash_to_unique.end() && it->second >= 0 &&
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from_buffer[it->second] >= 0) {
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from_index[i] = it->second;
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from_buffer[it->second] = i;
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} else
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@ -150,6 +159,7 @@ void WorkingFile::ComputeLineMapping() {
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i++;
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}
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std::fill(from_buffer.begin(), from_buffer.end(), -1);
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for (i = 0; i < (int)index_hashes.size() - 1; i++) {
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int j = from_index[i];
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if (0 <= j && j + 1 < buffer_hashes.size() &&
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@ -188,53 +198,29 @@ optional<int> WorkingFile::GetBufferLineFromIndexLine(int index_line) {
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return nullopt;
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}
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// TODO Remove all_buffer_lines_lookup and only use diff
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// Find the line in the cached index file. We'll try to find the most similar
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// line in the buffer and return the index for that.
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std::string index = Trim(index_lines[index_line - 1]);
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auto buffer_it = all_buffer_lines_lookup.find(index);
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if (buffer_it == all_buffer_lines_lookup.end()) {
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if (index_to_buffer.empty())
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ComputeLineMapping();
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index_line--;
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int up = index_line, down = index_line + 1;
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while (up >= 0 && index_to_buffer[up] < 0)
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up--;
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while (down < int(index_to_buffer.size()) && index_to_buffer[down] < 0)
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down++;
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int ret;
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if (up >= 0) {
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if (down == int(index_to_buffer.size()) ||
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index_line - up < down - index_line)
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ret = index_to_buffer[up] - up + index_line;
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else
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ret = index_to_buffer[down] - down + index_line;
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} else if (down < int(index_to_buffer.size()))
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ret = index_to_buffer[down] - down + index_line;
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else
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return nullopt;
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ret = std::max(ret, 0);
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ret = std::min(ret, int(buffer_to_index.size()) - 1);
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return ret + 1;
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}
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// TODO: Use levenshtein distance to find the best match (but only to an
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// extent)
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// From all the identical lines, return the one which is closest to
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// |index_line|. There will usually only be one identical line.
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assert(!buffer_it->second.empty());
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int closest_dist = INT_MAX;
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int closest_buffer_line = INT_MIN;
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for (int buffer_line : buffer_it->second) {
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int dist = std::abs(buffer_line - index_line);
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if (dist <= closest_dist) {
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closest_dist = dist;
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closest_buffer_line = buffer_line;
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if (index_to_buffer.empty())
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ComputeLineMapping();
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index_line--;
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if (index_to_buffer[index_line] >= 0)
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return index_to_buffer[index_line] + 1;
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int up = index_line, down = index_line;
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while (--up >= 0 && index_to_buffer[up] < 0) {}
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while (++down < int(index_to_buffer.size()) && index_to_buffer[down] < 0) {}
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up = up < 0 ? 0 : index_to_buffer[up];
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down = down >= int(index_to_buffer.size()) ? buffer_to_index.size() - 1
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: index_to_buffer[down];
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if (up > down)
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return nullopt;
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int best = up, best_dist = kMaxDiff + 1;
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const std::string& needle = Trim(index_lines[index_line]);
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for (int i = up; i <= down; i++) {
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int dist = MyersDiff(needle, all_buffer_lines[i], kMaxDiff);
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if (dist < best_dist) {
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best_dist = dist;
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best = i;
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}
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}
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return closest_buffer_line;
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return best + 1;
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}
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optional<int> WorkingFile::GetIndexLineFromBufferLine(int buffer_line) {
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@ -250,49 +236,27 @@ optional<int> WorkingFile::GetIndexLineFromBufferLine(int buffer_line) {
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return nullopt;
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}
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// Find the line in the index file. We'll try to find the most similar line
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// in the index file and return the index for that.
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std::string buffer = all_buffer_lines[buffer_line - 1];
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auto index_it = index_lines_lookup.find(buffer);
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if (index_it == index_lines_lookup.end()) {
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if (buffer_to_index.empty())
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ComputeLineMapping();
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buffer_line--;
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int up = buffer_line, down = buffer_line + 1;
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while (up >= 0 && buffer_to_index[up] < 0)
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up--;
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while (down < int(buffer_to_index.size()) && buffer_to_index[down] < 0)
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down++;
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int ret;
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if (up >= 0) {
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if (down == int(buffer_to_index.size()) ||
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buffer_line - up <= down - buffer_line)
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ret = buffer_to_index[up] - up + buffer_line;
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else
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ret = buffer_to_index[down] - down + buffer_line;
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} else if (down < int(buffer_to_index.size()))
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ret = buffer_to_index[down] - down + buffer_line;
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else
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return nullopt;
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ret = std::max(ret, 0);
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ret = std::min(ret, int(index_to_buffer.size()) - 1);
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return ret + 1;
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}
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// From all the identical lines, return the one which is closest to
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// |index_line|. There will usually only be one identical line.
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assert(!index_it->second.empty());
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int closest_dist = INT_MAX;
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int closest_index_line = INT_MIN;
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for (int index_line : index_it->second) {
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int dist = std::abs(buffer_line - index_line);
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if (dist <= closest_dist) {
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closest_dist = dist;
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closest_index_line = index_line;
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if (buffer_to_index.empty())
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ComputeLineMapping();
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buffer_line--;
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int up = buffer_line, down = buffer_line;
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while (--up >= 0 && buffer_to_index[up] < 0) {}
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while (++down < int(buffer_to_index.size()) && buffer_to_index[down] < 0) {}
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up = up < 0 ? 0 : buffer_to_index[up];
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down = down >= int(buffer_to_index.size()) ? index_to_buffer.size() - 1
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: buffer_to_index[down];
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if (up > down)
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return nullopt;
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int best = up, best_dist = kMaxDiff + 1;
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const std::string& needle = Trim(raw_buffer_lines[buffer_line]);
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for (int i = up; i <= down; i++) {
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int dist = MyersDiff(needle, index_lines[i], kMaxDiff);
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if (dist < best_dist) {
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best_dist = dist;
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best = i;
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}
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}
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return closest_index_line;
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return best + 1;
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}
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optional<std::string> WorkingFile::GetBufferLineContentFromIndexLine(
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std::vector<std::string> all_buffer_lines;
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// Note: This assumes 0-based lines (1-based lines are normally assumed).
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std::vector<std::string> raw_buffer_lines;
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// This map goes from disk-line -> indicies+1 in index_lines.
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// Note: The items in the value entry are 1-based lines.
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std::unordered_map<std::string, std::vector<int>> index_lines_lookup;
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// This map goes from buffer-line -> indices+1 in all_buffer_lines.
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// Note: The items in the value entry are 1-based liness.
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std::unordered_map<std::string, std::vector<int>> all_buffer_lines_lookup;
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// Mappings between index line number and buffer line number.
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// Empty indicates stale.
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std::vector<int> index_to_buffer;
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