[refactor]: update coin selection algorithms input parameter max_weight name

- This commit renames the coin selection algorithms input parameter `max_weight`
  to `max_selection_weight` for clarity.

  The parameter represent the maximum weight of the UTXOs the coin selection algorithm
  should select, not the transaction maximum weight.

- The commit updates the parameter docstring to provide correct description.

- Also updates coin selection unit and fuzzing test variables to match the new name.
This commit is contained in:
ismaelsadeeq
2024-02-29 10:53:44 +01:00
parent b27afb7fb7
commit 7f61d31a5c
5 changed files with 55 additions and 55 deletions

View File

@@ -84,14 +84,14 @@ struct {
* bound of the range.
* @param const CAmount& cost_of_change This is the cost of creating and spending a change output.
* This plus selection_target is the upper bound of the range.
* @param int max_weight The maximum weight available for the input set.
* @param int max_selection_weight The maximum allowed weight for a selection result to be valid.
* @returns The result of this coin selection algorithm, or std::nullopt
*/
static const size_t TOTAL_TRIES = 100000;
util::Result<SelectionResult> SelectCoinsBnB(std::vector<OutputGroup>& utxo_pool, const CAmount& selection_target, const CAmount& cost_of_change,
int max_weight)
int max_selection_weight)
{
SelectionResult result(selection_target, SelectionAlgorithm::BNB);
CAmount curr_value = 0;
@@ -128,7 +128,7 @@ util::Result<SelectionResult> SelectCoinsBnB(std::vector<OutputGroup>& utxo_pool
curr_value > selection_target + cost_of_change || // Selected value is out of range, go back and try other branch
(curr_waste > best_waste && is_feerate_high)) { // Don't select things which we know will be more wasteful if the waste is increasing
backtrack = true;
} else if (curr_selection_weight > max_weight) { // Exceeding weight for standard tx, cannot find more solutions by adding more inputs
} else if (curr_selection_weight > max_selection_weight) { // Selected UTXOs weight exceeds the maximum weight allowed, cannot find more solutions by adding more inputs
max_tx_weight_exceeded = true; // at least one selection attempt exceeded the max weight
backtrack = true;
} else if (curr_value >= selection_target) { // Selected value is within range
@@ -319,10 +319,10 @@ util::Result<SelectionResult> SelectCoinsBnB(std::vector<OutputGroup>& utxo_pool
* group with multiple as a heavier UTXO with the combined amount here.)
* @param const CAmount& selection_target This is the minimum amount that we need for the transaction without considering change.
* @param const CAmount& change_target The minimum budget for creating a change output, by which we increase the selection_target.
* @param int max_weight The maximum permitted weight for the input set.
* @param int max_selection_weight The maximum allowed weight for a selection result to be valid.
* @returns The result of this coin selection algorithm, or std::nullopt
*/
util::Result<SelectionResult> CoinGrinder(std::vector<OutputGroup>& utxo_pool, const CAmount& selection_target, CAmount change_target, int max_weight)
util::Result<SelectionResult> CoinGrinder(std::vector<OutputGroup>& utxo_pool, const CAmount& selection_target, CAmount change_target, int max_selection_weight)
{
std::sort(utxo_pool.begin(), utxo_pool.end(), descending_effval_weight);
// The sum of UTXO amounts after this UTXO index, e.g. lookahead[5] = Σ(UTXO[6+].amount)
@@ -359,7 +359,7 @@ util::Result<SelectionResult> CoinGrinder(std::vector<OutputGroup>& utxo_pool, c
// The weight of the currently selected input set, and the weight of the best selection
int curr_weight = 0;
int best_selection_weight = max_weight; // Tie is fine, because we prefer lower selection amount
int best_selection_weight = max_selection_weight; // Tie is fine, because we prefer lower selection amount
// Whether the input sets generated during this search have exceeded the maximum transaction weight at any point
bool max_tx_weight_exceeded = false;
@@ -436,8 +436,8 @@ util::Result<SelectionResult> CoinGrinder(std::vector<OutputGroup>& utxo_pool, c
// Insufficient funds with lookahead: CUT
should_cut = true;
} else if (curr_weight > best_selection_weight) {
// best_selection_weight is initialized to max_weight
if (curr_weight > max_weight) max_tx_weight_exceeded = true;
// best_selection_weight is initialized to max_selection_weight
if (curr_weight > max_selection_weight) max_tx_weight_exceeded = true;
// Worse weight than best solution. More UTXOs only increase weight:
// CUT if last selected group had minimal weight, else SHIFT
if (utxo_pool[curr_tail].m_weight <= min_tail_weight[curr_tail]) {
@@ -535,7 +535,7 @@ public:
};
util::Result<SelectionResult> SelectCoinsSRD(const std::vector<OutputGroup>& utxo_pool, CAmount target_value, CAmount change_fee, FastRandomContext& rng,
int max_weight)
int max_selection_weight)
{
SelectionResult result(target_value, SelectionAlgorithm::SRD);
std::priority_queue<OutputGroup, std::vector<OutputGroup>, MinOutputGroupComparator> heap;
@@ -565,14 +565,14 @@ util::Result<SelectionResult> SelectCoinsSRD(const std::vector<OutputGroup>& utx
// If the selection weight exceeds the maximum allowed size, remove the least valuable inputs until we
// are below max weight.
if (weight > max_weight) {
if (weight > max_selection_weight) {
max_tx_weight_exceeded = true; // mark it in case we don't find any useful result.
do {
const OutputGroup& to_remove_group = heap.top();
selected_eff_value -= to_remove_group.GetSelectionAmount();
weight -= to_remove_group.m_weight;
heap.pop();
} while (!heap.empty() && weight > max_weight);
} while (!heap.empty() && weight > max_selection_weight);
}
// Now check if we are above the target
@@ -648,7 +648,7 @@ static void ApproximateBestSubset(FastRandomContext& insecure_rand, const std::v
}
util::Result<SelectionResult> KnapsackSolver(std::vector<OutputGroup>& groups, const CAmount& nTargetValue,
CAmount change_target, FastRandomContext& rng, int max_weight)
CAmount change_target, FastRandomContext& rng, int max_selection_weight)
{
SelectionResult result(nTargetValue, SelectionAlgorithm::KNAPSACK);
@@ -709,7 +709,7 @@ util::Result<SelectionResult> KnapsackSolver(std::vector<OutputGroup>& groups, c
}
// If the result exceeds the maximum allowed size, return closest UTXO above the target
if (result.GetWeight() > max_weight) {
if (result.GetWeight() > max_selection_weight) {
// No coin above target, nothing to do.
if (!lowest_larger) return ErrorMaxWeightExceeded();