forked from premiere/premiere-libtorrent
290 lines
7.5 KiB
C++
290 lines
7.5 KiB
C++
/*
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Copyright (c) 2016, Arvid Norberg
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions
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are met:
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* Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in
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the documentation and/or other materials provided with the distribution.
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* Neither the name of the author nor the names of its
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contributors may be used to endorse or promote products derived
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from this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
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LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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POSSIBILITY OF SUCH DAMAGE.
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*/
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#include "test.hpp"
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#include "test_utils.hpp"
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#include <vector>
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#include "libtorrent/entry.hpp"
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#include "libtorrent/torrent_info.hpp"
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#include "libtorrent/random.hpp"
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#include "libtorrent/create_torrent.hpp"
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#include "libtorrent/bencode.hpp"
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#include "libtorrent/add_torrent_params.hpp"
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#include "libtorrent/read_resume_data.hpp"
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#include "libtorrent/write_resume_data.hpp"
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using namespace lt;
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TORRENT_TEST(read_resume)
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{
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entry rd;
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rd["file-format"] = "libtorrent resume file";
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rd["file-version"] = 1;
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rd["info-hash"] = "abcdefghijklmnopqrst";
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rd["pieces"] = "\x01\x01\x01\x01\x01\x01";
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rd["total_uploaded"] = 1337;
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rd["total_downloaded"] = 1338;
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rd["active_time"] = 1339;
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rd["seeding_time"] = 1340;
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rd["upload_rate_limit"] = 1343;
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rd["download_rate_limit"] = 1344;
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rd["max_connections"] = 1345;
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rd["max_uploads"] = 1346;
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rd["seed_mode"] = 0;
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rd["super_seeding"] = 0;
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rd["added_time"] = 1347;
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rd["completed_time"] = 1348;
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rd["finished_time"] = 1352;
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rd["piece_priority"] = "\x01\x02\x03\x04\x05\x06";
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rd["auto_managed"] = 0;
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rd["sequential_download"] = 0;
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rd["paused"] = 0;
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std::vector<char> resume_data;
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bencode(std::back_inserter(resume_data), rd);
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add_torrent_params atp = read_resume_data(resume_data);
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TEST_EQUAL(atp.info_hash, sha1_hash("abcdefghijklmnopqrst"));
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TEST_EQUAL(atp.have_pieces.size(), 6);
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TEST_EQUAL(atp.have_pieces.count(), 6);
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TEST_EQUAL(atp.total_uploaded, 1337);
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TEST_EQUAL(atp.total_downloaded, 1338);
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TEST_EQUAL(atp.active_time, 1339);
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TEST_EQUAL(atp.seeding_time, 1340);
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TEST_EQUAL(atp.upload_limit, 1343);
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TEST_EQUAL(atp.download_limit, 1344);
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TEST_EQUAL(atp.max_connections, 1345);
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TEST_EQUAL(atp.max_uploads, 1346);
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torrent_flags_t const flags_mask
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= torrent_flags::seed_mode
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| torrent_flags::super_seeding
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| torrent_flags::auto_managed
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| torrent_flags::paused
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| torrent_flags::sequential_download;
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TEST_CHECK(!(atp.flags & flags_mask));
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TEST_EQUAL(atp.added_time, 1347);
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TEST_EQUAL(atp.completed_time, 1348);
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TEST_EQUAL(atp.finished_time, 1352);
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TEST_EQUAL(atp.piece_priorities.size(), 6);
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TEST_EQUAL(atp.piece_priorities[0], 1_pri);
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TEST_EQUAL(atp.piece_priorities[1], 2_pri);
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TEST_EQUAL(atp.piece_priorities[2], 3_pri);
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TEST_EQUAL(atp.piece_priorities[3], 4_pri);
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TEST_EQUAL(atp.piece_priorities[4], 5_pri);
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TEST_EQUAL(atp.piece_priorities[5], 6_pri);
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}
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TORRENT_TEST(read_resume_missing_info_hash)
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{
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entry rd;
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rd["file-format"] = "libtorrent resume file";
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rd["file-version"] = 1;
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// missing info-hash
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std::vector<char> resume_data;
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bencode(std::back_inserter(resume_data), rd);
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error_code ec;
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add_torrent_params atp = read_resume_data(resume_data, ec);
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TEST_EQUAL(ec, error_code(errors::missing_info_hash));
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}
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TORRENT_TEST(read_resume_missing_file_format)
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{
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entry rd;
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// missing file-format
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rd["file-version"] = 1;
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rd["info-hash"] = "abcdefghijklmnopqrst";
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std::vector<char> resume_data;
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bencode(std::back_inserter(resume_data), rd);
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error_code ec;
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add_torrent_params atp = read_resume_data(resume_data, ec);
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TEST_EQUAL(ec, error_code(errors::invalid_file_tag));
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}
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TORRENT_TEST(read_resume_mismatching_torrent)
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{
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entry rd;
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rd["file-format"] = "libtorrent resume file";
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rd["file-version"] = 1;
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rd["info-hash"] = "abcdefghijklmnopqrst";
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entry& info = rd["info"];
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info["piece length"] = 16384 * 16;
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info["name"] = "test";
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std::vector<char> resume_data;
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bencode(std::back_inserter(resume_data), rd);
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// the info-hash field does not match the torrent in the "info" field, so it
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// will be ignored
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add_torrent_params atp = read_resume_data(resume_data);
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TEST_CHECK(!atp.ti);
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}
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namespace {
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std::shared_ptr<torrent_info> generate_torrent()
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{
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file_storage fs;
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fs.add_file("test_resume/tmp1", 128 * 1024 * 8);
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fs.add_file("test_resume/tmp2", 128 * 1024);
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fs.add_file("test_resume/tmp3", 128 * 1024);
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lt::create_torrent t(fs, 128 * 1024, 6);
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t.add_tracker("http://torrent_file_tracker.com/announce");
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t.add_url_seed("http://torrent_file_url_seed.com/");
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int num = t.num_pieces();
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TEST_CHECK(num > 0);
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for (auto const i : fs.piece_range())
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{
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sha1_hash ph;
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aux::random_bytes(ph);
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t.set_hash(i, ph);
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}
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std::vector<char> buf;
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bencode(std::back_inserter(buf), t.generate());
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return std::make_shared<torrent_info>(buf, from_span);
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}
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} // anonymous namespace
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TORRENT_TEST(read_resume_torrent)
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{
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std::shared_ptr<torrent_info> ti = generate_torrent();
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entry rd;
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rd["file-format"] = "libtorrent resume file";
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rd["file-version"] = 1;
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rd["info-hash"] = ti->info_hash().to_string();
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rd["info"] = bdecode({ti->metadata().get(), ti->metadata_size()});
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std::vector<char> resume_data;
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bencode(std::back_inserter(resume_data), rd);
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// the info-hash field does not match the torrent in the "info" field, so it
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// will be ignored
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add_torrent_params atp = read_resume_data(resume_data);
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TEST_CHECK(atp.ti);
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TEST_EQUAL(atp.ti->info_hash(), ti->info_hash());
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TEST_EQUAL(atp.ti->name(), ti->name());
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}
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namespace {
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void test_roundtrip(add_torrent_params const& input)
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{
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auto b = write_resume_data_buf(input);
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error_code ec;
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auto output = read_resume_data(b, ec);
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TEST_CHECK(write_resume_data_buf(output) == b);
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}
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template <typename T>
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lt::typed_bitfield<T> bits()
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{
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lt::typed_bitfield<T> b;
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b.resize(19);
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b.set_bit(T(2));
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b.set_bit(T(6));
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b.set_bit(T(12));
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return b;
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}
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lt::bitfield bits()
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{
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lt::bitfield b;
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b.resize(19);
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b.set_bit(2);
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b.set_bit(6);
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b.set_bit(12);
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return b;
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}
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template <typename T>
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std::vector<T> vec()
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{
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std::vector<T> ret;
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ret.resize(10);
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ret[0] = T(1);
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ret[1] = T(2);
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ret[5] = T(3);
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ret[7] = T(4);
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return ret;
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}
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}
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TORRENT_TEST(round_trip_have_pieces)
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{
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add_torrent_params atp;
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atp.have_pieces = bits<piece_index_t>();
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test_roundtrip(atp);
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}
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TORRENT_TEST(round_trip_verified_pieces)
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{
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add_torrent_params atp;
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atp.verified_pieces = bits<piece_index_t>();
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test_roundtrip(atp);
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}
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TORRENT_TEST(round_trip_prios)
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{
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add_torrent_params atp;
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atp.piece_priorities = vec<download_priority_t>();
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test_roundtrip(atp);
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}
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TORRENT_TEST(round_trip_unfinished)
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{
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add_torrent_params atp;
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atp.unfinished_pieces = std::map<piece_index_t, bitfield>{{piece_index_t{42}, bits()}};
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test_roundtrip(atp);
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}
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