/* vim:set ts=2 sw=2 sts=2 et: */
/**
* \author Marcus Holland-Moritz (github@mhxnet.de)
* \copyright Copyright (c) Marcus Holland-Moritz
*
* This file is part of dwarfs.
*
* dwarfs is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* dwarfs is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with dwarfs. If not, see .
*/
#include
#include
#include
#include
#include
// #include
#include
#include
#include
#include
#include
#include "loremipsum.h"
#include "test_logger.h"
using namespace dwarfs;
using dwarfs::test::loremipsum;
// using testing::MatchesRegex;
namespace fs = std::filesystem;
namespace po = boost::program_options;
namespace {
std::string random_string(size_t size) {
using random_bytes_engine =
std::independent_bits_engine;
static random_bytes_engine rbe;
std::string data;
data.resize(size);
std::generate(begin(data), end(data), std::ref(rbe));
return data;
}
std::vector make_data(std::string const& s) {
std::vector rv(s.size());
std::memcpy(rv.data(), s.data(), s.size());
return rv;
}
} // namespace
template
class incompressible_categorizer_fixture : public Base {
protected:
void SetUp() override { lgr.clear(); }
void create_catmgr() { create_catmgr({}); }
void create_catmgr(std::vector args) {
auto& catreg = writer::categorizer_registry::instance();
po::options_description opts;
catreg.add_options(opts);
args.insert(args.begin(), "program");
po::variables_map vm;
auto parsed = po::parse_command_line(args.size(), args.data(), opts);
po::store(parsed, vm);
po::notify(vm);
catmgr = std::make_shared(lgr);
catmgr->add(catreg.create(lgr, "incompressible", vm));
}
// void TearDown() override {
// }
public:
auto categorize(fs::path const& path, std::span data) {
auto job = catmgr->job(path);
job.set_total_size(data.size());
job.categorize_random_access(data);
job.categorize_sequential(data);
return job.result();
}
std::shared_ptr catmgr;
test::test_logger lgr{logger::INFO};
};
using incompressible_categorizer =
incompressible_categorizer_fixture<::testing::Test>;
TEST_F(incompressible_categorizer, requirements) {
create_catmgr();
try {
catmgr->set_metadata_requirements(
catmgr->category_value("incompressible").value(),
R"({"foo": ["set", ["bar"]]})");
FAIL() << "expected std::runtime_error";
} catch (std::runtime_error const& e) {
EXPECT_STREQ("unsupported metadata requirements: foo", e.what());
} catch (...) {
FAIL() << "unexpected exception: "
<< folly::exceptionStr(std::current_exception());
}
catmgr->set_metadata_requirements(
catmgr->category_value("incompressible").value(), R"({})");
}
TEST_F(incompressible_categorizer, categorize_incompressible) {
create_catmgr();
auto data = make_data(random_string(10'000));
auto frag = categorize("random.txt", data);
ASSERT_EQ(1, frag.size());
EXPECT_EQ("incompressible",
catmgr->category_name(frag.get_single_category().value()));
}
TEST_F(incompressible_categorizer, categorize_default) {
create_catmgr();
auto data = make_data(loremipsum(10'000));
auto frag = categorize("ipsum.txt", data);
EXPECT_TRUE(frag.empty());
}
TEST_F(incompressible_categorizer, categorize_fragments) {
create_catmgr(
{"--incompressible-block-size=8k", "--incompressible-fragments"});
// data: CCCCCCCCCCCCIIIIIIIIIIIICCCCCCCCCCCCIIIIIIIIIIIICCC
// block: 0-------1-------2-------3-------4-------5-------6--
// frag: def-------------incomp--def-------------incomp--def
auto data = make_data(loremipsum(12 * 1024) + random_string(12 * 1024) +
loremipsum(12 * 1024) + random_string(12 * 1024) +
loremipsum(3 * 1024));
auto frag = categorize("mixed.txt", data);
ASSERT_EQ(5, frag.size());
std::vector> ref{
{"", 16384}, {"incompressible", 8192}, {"", 16384},
{"incompressible", 8192}, {"", 3072},
};
for (size_t i = 0; i < ref.size(); ++i) {
auto const& r = ref[i];
auto const& f = frag.span()[i];
EXPECT_EQ(r.first, catmgr->category_name(f.category().value())) << i;
EXPECT_EQ(r.second, f.length()) << i;
}
}
TEST_F(incompressible_categorizer, min_input_size) {
create_catmgr({"--incompressible-min-input-size=1000"});
{
auto data = make_data(random_string(999));
auto frag = categorize("random.txt", data);
EXPECT_TRUE(frag.empty());
}
{
auto data = make_data(random_string(10'000));
auto frag = categorize("random.txt", data);
ASSERT_EQ(1, frag.size());
EXPECT_EQ("incompressible",
catmgr->category_name(frag.get_single_category().value()));
}
}
using max_ratio_test = incompressible_categorizer_fixture<
::testing::TestWithParam>>;
TEST_P(max_ratio_test, max_ratio) {
auto [ratio, is_incompressible] = GetParam();
auto arg = fmt::format("--incompressible-ratio={:f}", ratio);
create_catmgr({arg.c_str()});
auto data = make_data(loremipsum(10'000));
auto frag = categorize("ipsum.txt", data);
if (is_incompressible) {
ASSERT_EQ(1, frag.size());
EXPECT_EQ("incompressible",
catmgr->category_name(frag.get_single_category().value()));
} else {
EXPECT_TRUE(frag.empty());
}
}
INSTANTIATE_TEST_SUITE_P(incompressible_categorizer, max_ratio_test,
::testing::Values(std::make_pair(0.4, true),
std::make_pair(0.6, false)));
using zstd_accel_test = incompressible_categorizer_fixture<
::testing::TestWithParam>>;
TEST_P(zstd_accel_test, zstd_acceleration) {
auto [accel, is_incompressible] = GetParam();
auto arg = fmt::format("--incompressible-zstd-level={}", accel);
create_catmgr({arg.c_str()});
auto data = make_data(loremipsum(10'000));
auto frag = categorize("ipsum.txt", data);
if (is_incompressible) {
ASSERT_EQ(1, frag.size());
EXPECT_EQ("incompressible",
catmgr->category_name(frag.get_single_category().value()));
} else {
EXPECT_TRUE(frag.empty());
}
}
INSTANTIATE_TEST_SUITE_P(incompressible_categorizer, zstd_accel_test,
::testing::Values(std::make_pair(-1, false),
std::make_pair(-10, false),
std::make_pair(-100, true)));