aocpp/2019/18.cpp

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#include <algorithm>
#include <cstdint>
#include <iostream>
#include <iomanip>
#include <fstream>
#include <iterator>
#include <stdexcept>
#include <vector>
#include <set>
#include <string>
#include <tuple>
#include <bitset>
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#include <queue>
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#include <cctype>
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#include <queue>
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#include <map>
#include <aocpp/Startup.hpp>
#include <aocpp/Coord.hpp>
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#include <aocpp/Grid.hpp>
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using namespace aocpp;
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// lowercase key
// uppercase door
// start at @
// wall #
// boring .
namespace {
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Coord(* const directions[4])(Coord) = {Up, Down, Left, Right};
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using Features = std::map<char, Coord>;
using Doors = std::bitset<26>;
using Distances = std::map<char,std::map<char, std::pair<std::int64_t, Doors>>>;
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auto SetKey(Doors& doors, char key) {
return doors.set(std::toupper(key) - 'A');
}
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auto FindFeatures(Grid const& grid) -> Features {
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Features features;
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grid.each([&](Coord c, char v) {
if ('#' != v && '.' != v) {
features[v] = c;
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}
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});
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return features;
}
auto FindDistancesFrom(
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Grid const& grid,
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char const start_letter,
Coord const start
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) {
std::map<char, std::pair<std::int64_t, Doors>> result;
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std::queue<std::tuple<std::int64_t, Coord, Doors>> todo;
todo.push({0, start, {}});
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std::set<Coord> seen;
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for (; !todo.empty(); todo.pop()) {
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auto [steps, here, doors] = todo.front();
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// Don't visit the same coordinate twice
if (!seen.insert(here).second) continue;
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auto const c = grid[here];
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if (c == '#') continue; // avoid walls
// success, we've found a key, record the path
if (c != start_letter && std::islower(c)) {
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result[c] = {steps, doors};
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continue; // don't walk beyond the key
}
// Note any keys we encounter on our journey
if (std::isupper(c)) {
SetKey(doors, c);
}
// Visit all neighbors
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for (auto const fn : directions) {
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todo.emplace(steps+1, fn(here), doors);
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}
}
return result;
}
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auto FindDistances(Grid const& grid, Features const& features) {
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Distances distances;
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for (auto const [start_letter, start_coord] : features) {
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if (!std::isupper(start_letter)) {
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distances[start_letter] = FindDistancesFrom(grid, start_letter, start_coord);
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}
}
return distances;
}
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auto SolveMaze(
Distances const& distances,
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std::string const initial_locations
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) -> std::int64_t
{
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// Track current positions and current set of keys in easy to compare form
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using Visited = std::pair<std::string, unsigned long long>;
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std::set<Visited> seen;
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// Priority queue returning lowest path cost states first.
using PqElt = std::tuple<std::int64_t, std::string, Doors>;
using PqCmp = decltype([](PqElt const& x, PqElt const& y) {
return std::get<0>(x) > std::get<0>(y); });
std::priority_queue<PqElt, std::vector<PqElt>, PqCmp> todo;
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todo.emplace(0, initial_locations, Doors());
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while(!todo.empty()) {
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auto [steps, locations, keys] = todo.top();
todo.pop();
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if (keys.all()) { return steps; }
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std::sort(locations.begin(), locations.end());
if (seen.emplace(locations, keys.to_ullong()).second) {
for (auto& location : locations) {
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auto const save = location;
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for (auto const& [next, costneed] : distances.at(location)) {
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auto const [cost, need] = costneed;
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if ((need & ~keys).none()) { // no missing keys
location = next;
auto keys_ = keys; SetKey(keys_, next);
todo.emplace(steps + cost, locations, keys_);
location = save;
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}
}
}
}
}
throw std::runtime_error{"no solution to part 1"};
}
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// Part 2 instructs us to update the map splitting it into 4 quadrants
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auto Part2(Grid & grid, Features & features) {
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auto const start = features['@'];
for (auto const fn : directions) {
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grid[fn(start)] = '#';
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}
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features.erase('@');
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features['^'] = Up(Left (start));
features['&'] = Down(Left (start));
features['*'] = Up(Right(start));
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features['$'] = Down(Right(start));
}
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} // namespace
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auto Main(std::istream & in, std::ostream & out) -> void
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{
auto grid = Grid::Parse(in);
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auto features = FindFeatures(grid);
auto distances = FindDistances(grid, features);
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out << "Part 1: " << SolveMaze(distances, "@") << std::endl;
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Part2(grid, features);
distances = FindDistances(grid, features);
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out << "Part 2: " << SolveMaze(distances, "^&*$") << std::endl;
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}