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clusterlin: use 'cost' terminology instead of 'iters' (refactor)
This commit is contained in:
committed by
Pieter Wuille
parent
9e7129df29
commit
ecc9a84f85
@@ -325,8 +325,8 @@ FUZZ_TARGET(txgraph)
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auto max_cluster_count = provider.ConsumeIntegralInRange<DepGraphIndex>(1, MAX_CLUSTER_COUNT_LIMIT);
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/** The maximum total size of transactions in a (non-oversized) cluster. */
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auto max_cluster_size = provider.ConsumeIntegralInRange<uint64_t>(1, 0x3fffff * MAX_CLUSTER_COUNT_LIMIT);
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/** The number of iterations to consider a cluster acceptably linearized. */
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auto acceptable_iters = provider.ConsumeIntegralInRange<uint64_t>(0, 10000);
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/** The amount of work to consider a cluster acceptably linearized. */
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auto acceptable_cost = provider.ConsumeIntegralInRange<uint64_t>(0, 10000);
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/** The set of uint64_t "txid"s that have been assigned before. */
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std::set<uint64_t> assigned_txids;
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@@ -342,7 +342,7 @@ FUZZ_TARGET(txgraph)
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auto real = MakeTxGraph(
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/*max_cluster_count=*/max_cluster_count,
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/*max_cluster_size=*/max_cluster_size,
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/*acceptable_iters=*/acceptable_iters,
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/*acceptable_cost=*/acceptable_cost,
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/*fallback_order=*/fallback_order);
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std::vector<SimTxGraph> sims;
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@@ -758,9 +758,9 @@ FUZZ_TARGET(txgraph)
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break;
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} else if (command-- == 0) {
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// DoWork.
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uint64_t iters = provider.ConsumeIntegralInRange<uint64_t>(0, alt ? 10000 : 255);
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bool ret = real->DoWork(iters);
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uint64_t iters_for_optimal{0};
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uint64_t max_cost = provider.ConsumeIntegralInRange<uint64_t>(0, alt ? 10000 : 255);
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bool ret = real->DoWork(max_cost);
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uint64_t cost_for_optimal{0};
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for (unsigned level = 0; level < sims.size(); ++level) {
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// DoWork() will not optimize oversized levels, or the main level if a builder
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// is present. Note that this impacts the DoWork() return value, as true means
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@@ -773,24 +773,24 @@ FUZZ_TARGET(txgraph)
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if (ret) {
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sims[level].real_is_optimal = true;
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}
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// Compute how many iterations would be needed to make everything optimal.
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// Compute how much work would be needed to make everything optimal.
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for (auto component : sims[level].GetComponents()) {
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auto iters_opt_this_cluster = MaxOptimalLinearizationIters(component.Count());
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if (iters_opt_this_cluster > acceptable_iters) {
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// If the number of iterations required to linearize this cluster
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// optimally exceeds acceptable_iters, DoWork() may process it in two
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auto cost_opt_this_cluster = MaxOptimalLinearizationCost(component.Count());
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if (cost_opt_this_cluster > acceptable_cost) {
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// If the amount of work required to linearize this cluster
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// optimally exceeds acceptable_cost, DoWork() may process it in two
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// stages: once to acceptable, and once to optimal.
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iters_for_optimal += iters_opt_this_cluster + acceptable_iters;
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cost_for_optimal += cost_opt_this_cluster + acceptable_cost;
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} else {
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iters_for_optimal += iters_opt_this_cluster;
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cost_for_optimal += cost_opt_this_cluster;
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}
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}
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}
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if (!ret) {
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// DoWork can only have more work left if the requested number of iterations
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// DoWork can only have more work left if the requested amount of work
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// was insufficient to linearize everything optimally within the levels it is
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// allowed to touch.
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assert(iters <= iters_for_optimal);
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assert(max_cost <= cost_for_optimal);
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}
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break;
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} else if (sims.size() == 2 && !sims[0].IsOversized() && !sims[1].IsOversized() && command-- == 0) {
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@@ -1165,7 +1165,7 @@ FUZZ_TARGET(txgraph)
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auto real_redo = MakeTxGraph(
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/*max_cluster_count=*/max_cluster_count,
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/*max_cluster_size=*/max_cluster_size,
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/*acceptable_iters=*/acceptable_iters,
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/*acceptable_cost=*/acceptable_cost,
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/*fallback_order=*/fallback_order);
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/** Vector (indexed by SimTxGraph::Pos) of TxObjects in real_redo). */
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std::vector<std::optional<SimTxObject>> txobjects_redo;
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