refactor: Reserve vectors in fuzz tests

* Since the main LIMITED_WHILE stated `outpoints.size() < 200'000`, I've presized outpoints accordingly.
* `tx_mut.vin` and `tx_mut.vout` weren't caught by the clang-tidy, but addressed them anyway.
This commit is contained in:
Lőrinc 2024-11-18 16:23:36 +01:00
parent 152fefe7a2
commit 11f3bc229c
2 changed files with 5 additions and 0 deletions

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@ -38,6 +38,7 @@ FUZZ_TARGET(txorphan, .init = initialize_orphanage)
TxOrphanage orphanage;
std::vector<COutPoint> outpoints; // Duplicates are tolerated
outpoints.reserve(200'000);
// initial outpoints used to construct transactions later
for (uint8_t i = 0; i < 4; i++) {
@ -55,12 +56,14 @@ FUZZ_TARGET(txorphan, .init = initialize_orphanage)
const auto num_out = fuzzed_data_provider.ConsumeIntegralInRange<uint32_t>(1, 256);
// pick outpoints from outpoints as input. We allow input duplicates on purpose, given we are not
// running any transaction validation logic before adding transactions to the orphanage
tx_mut.vin.reserve(num_in);
for (uint32_t i = 0; i < num_in; i++) {
auto& prevout = PickValue(fuzzed_data_provider, outpoints);
// try making transactions unique by setting a random nSequence, but allow duplicate transactions if they happen
tx_mut.vin.emplace_back(prevout, CScript{}, fuzzed_data_provider.ConsumeIntegralInRange<uint32_t>(0, CTxIn::SEQUENCE_FINAL));
}
// output amount will not affect txorphanage
tx_mut.vout.reserve(num_out);
for (uint32_t i = 0; i < num_out; i++) {
tx_mut.vout.emplace_back(CAmount{0}, CScript{});
}

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@ -79,6 +79,7 @@ template<typename B = uint8_t>
{
const size_t n_elements = fuzzed_data_provider.ConsumeIntegralInRange<size_t>(0, max_vector_size);
std::vector<std::string> r;
r.reserve(n_elements);
for (size_t i = 0; i < n_elements; ++i) {
r.push_back(fuzzed_data_provider.ConsumeRandomLengthString(max_string_length));
}
@ -90,6 +91,7 @@ template <typename T>
{
const size_t n_elements = fuzzed_data_provider.ConsumeIntegralInRange<size_t>(0, max_vector_size);
std::vector<T> r;
r.reserve(n_elements);
for (size_t i = 0; i < n_elements; ++i) {
r.push_back(fuzzed_data_provider.ConsumeIntegral<T>());
}