55 lines
1.6 KiB
C++
55 lines
1.6 KiB
C++
#include <iostream>
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#include <string>
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#include <xcdat.hpp>
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int main() {
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std::vector<std::string> keys = {
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"AirPods", "AirTag", "Mac", "MacBook", "MacBook_Air", "MacBook_Pro",
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"Mac_Mini", "Mac_Pro", "iMac", "iPad", "iPhone", "iPhone_SE",
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};
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// The dataset must be sorted and unique.
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std::sort(keys.begin(), keys.end());
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keys.erase(std::unique(keys.begin(), keys.end()), keys.end());
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auto trie = xcdat::build<xcdat::trie_8_type>(keys);
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std::cout << "Basic operations" << std::endl;
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{
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const auto id = trie.lookup("MacBook_Pro");
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if (id.has_value()) {
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std::cout << trie.decode(id.value()) << " -> " << id.has_value() << std::endl;
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} else {
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std::cout << "Not found" << std::endl;
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}
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}
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std::cout << "Common prefix search" << std::endl;
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{
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auto itr = trie.make_prefix_iterator("MacBook_Air");
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while (itr.next()) {
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std::cout << itr.decoded_view() << " -> " << itr.id() << std::endl;
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}
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}
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std::cout << "Predictive search" << std::endl;
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{
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auto itr = trie.make_predictive_iterator("Mac");
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while (itr.next()) {
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std::cout << itr.decoded_view() << " -> " << itr.id() << std::endl;
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}
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}
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std::string index_filename = "tmp.idx";
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std::cout << "mem: " << xcdat::save(trie, index_filename) << std::endl;
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{
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auto ohter = xcdat::load<xcdat::trie_8_type>(index_filename);
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std::cout << "num_keys:" << ohter.num_keys() << std::endl;
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std::cout << "mem: " << xcdat::get_memory_in_bytes(ohter) << std::endl;
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}
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return 0;
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}
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