mirror of
https://github.com/MaskRay/ccls.git
synced 2024-11-28 18:41:57 +00:00
148 lines
4.3 KiB
C++
148 lines
4.3 KiB
C++
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#include "message_handler.h"
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#include "query_utils.h"
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#include "queue_manager.h"
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#include <math.h>
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#include <stdlib.h>
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#include <numeric>
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namespace {
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struct Ipc_CqueryRandom : public RequestMessage<Ipc_CqueryRandom> {
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const static IpcId kIpcId = IpcId::CqueryRandom;
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};
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MAKE_REFLECT_STRUCT(Ipc_CqueryRandom, id);
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REGISTER_IPC_MESSAGE(Ipc_CqueryRandom);
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const double kDeclWeight = 3;
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const double kDamping = 0.1;
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const double kAlpha = 0.3;
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template <typename Q>
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struct Kind;
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template <>
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struct Kind<QueryFunc> { static constexpr SymbolKind value = SymbolKind::Func; };
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template <>
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struct Kind<QueryType> { static constexpr SymbolKind value = SymbolKind::Type; };
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template <>
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struct Kind<QueryVar> { static constexpr SymbolKind value = SymbolKind::Var; };
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template <typename Q>
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void Add(const std::unordered_map<SymbolIdx, int>& sym2id,
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std::vector<std::unordered_map<int, double>>& adj,
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const std::vector<Id<Q>>& ids,
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int n,
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double w = 1) {
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for (Id<Q> id : ids) {
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auto it = sym2id.find(SymbolIdx{RawId(id), Kind<Q>::value});
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if (it != sym2id.end())
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adj[it->second][n] += w;
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}
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}
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struct CqueryRandomHandler : BaseMessageHandler<Ipc_CqueryRandom> {
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void Run(Ipc_CqueryRandom* request) override {
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std::unordered_map<SymbolIdx, int> sym2id;
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std::vector<SymbolIdx> syms;
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int n = 0;
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for (RawId i = 0; i < db->funcs.size(); i++)
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if (db->funcs[i].def) {
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syms.push_back(SymbolIdx{i, SymbolKind::Func});
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sym2id[syms.back()] = n++;
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}
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for (RawId i = 0; i < db->types.size(); i++)
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if (db->types[i].def) {
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syms.push_back(SymbolIdx{i, SymbolKind::Type});
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sym2id[syms.back()] = n++;
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}
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for (RawId i = 0; i < db->vars.size(); i++)
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if (db->vars[i].def) {
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syms.push_back(SymbolIdx{i, SymbolKind::Var});
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sym2id[syms.back()] = n++;
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}
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std::vector<std::unordered_map<int, double>> adj(n);
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auto add = [&](const std::vector<Use>& uses, double w) {
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for (Use use : uses) {
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auto it = sym2id.find(SymbolIdx{RawId(use.id), use.kind});
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if (it != sym2id.end())
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adj[it->second][n] += w;
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}
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};
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n = 0;
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for (QueryFunc& func : db->funcs)
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if (func.def) {
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add(func.declarations, kDeclWeight);
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add(func.uses, 1);
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Add(sym2id, adj, func.derived, n);
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n++;
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}
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for (QueryType& type : db->types)
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if (type.def) {
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add(type.uses, 1);
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Add(sym2id, adj, type.instances, n);
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Add(sym2id, adj, type.def->funcs, n);
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Add(sym2id, adj, type.def->types, n);
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Add(sym2id, adj, type.def->vars, n);
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n++;
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}
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for (QueryVar& var : db->vars)
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if (var.def) {
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add(var.declarations, kDeclWeight);
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add(var.uses, 1);
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n++;
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}
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for (int i = 0; i < n; i++) {
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double sum = 0;
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adj[i][i] += 1;
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for (auto& it : adj[i])
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sum += it.second;
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for (auto& it : adj[i])
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it.second = it.second / sum * (1 - kDamping);
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}
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std::vector<double> x(n, 1), y;
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while (1) {
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y.assign(n, kDamping);
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for (int i = 0; i < n; i++)
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for (auto& it : adj[i])
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y[it.first] += x[i] * it.second;
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double d = 0;
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for (int i = 0; i < n; i++)
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d = std::max(d, fabs(x[i] - y[i]));
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if (d < 1e-5) break;
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x.swap(y);
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}
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double sum = std::accumulate(x.begin(), x.end(), 0.), stdev = 0, offset = 0;
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for (int i = 0; i < n; i++)
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stdev += (x[i] - sum / n) * (x[i] - sum / n);
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stdev = sqrt(stdev / n) * kAlpha;
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for (int i = 0; i < n; i++)
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offset = std::max(offset, x[i] / stdev);
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sum = 0;
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for (int i = 0; i < n; i++)
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sum += x[i] = exp(x[i] / stdev - offset);
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Out_LocationList out;
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out.id = request->id;
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double roulette = rand() / (RAND_MAX + 1.0) * sum;
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sum = 0;
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for (int i = 0; i < n; i++) {
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sum += x[i];
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if (sum >= roulette) {
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Maybe<Use> use = GetDefinitionExtentOfSymbol(db, syms[i]);
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if (!use)
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continue;
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optional<lsLocation> ls_loc = GetLsLocation(db, working_files, *use);
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if (ls_loc)
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out.result.push_back(*ls_loc);
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break;
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}
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}
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QueueManager::WriteStdout(IpcId::CqueryRandom, out);
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}
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};
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REGISTER_MESSAGE_HANDLER(CqueryRandomHandler);
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} // namespace
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