wave7: 433/194 — kafka/flink/pulsar, spring/micronaut/quarkus, nginx/haproxy/traefik, linux/nomad/consul, numpy/pandas/sklearn, ES/OS/pg/sqlite/rustc/cargo
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69 changed files with 6793 additions and 32 deletions
68
defects/nomad/patch/nomad-0001-bitmap-filter.md
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68
defects/nomad/patch/nomad-0001-bitmap-filter.md
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# nomad-0001: Bitmap.IndexesInRangeFiltered — O(range × filter) port allocation
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## CWE
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CWE-407: Inefficient Algorithmic Complexity
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## Severity
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HIGH
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## Location
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`nomad/structs/bitmap.go:94`
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Called from `nomad/structs/network.go:682` (`getDynamicPortsPrecise`)
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## Description
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`IndexesInRangeFiltered` iterates over every port in [minDynamicPort, maxDynamicPort]
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(default 20000–60000 → up to 40 000 iterations) and for each port calls
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`slices.Contains(filter, int(i))` — a linear scan over `portsInOffer`.
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```go
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for i := from; i <= to && i < b.Size(); i++ {
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c := b.Check(i)
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if c == set {
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if len(filter) < 1 || !slices.Contains(filter, int(i)) { // O(|filter|)
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indexes = append(indexes, int(i))
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}
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}
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}
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```
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This executes on every job placement (scheduler hot path). With P ports already
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offered and a port range of R:
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| Complexity | Observed |
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|------------|---------|
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| Slow (current) | O(R × P) |
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| Fast (patched) | O(R + P) |
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At R=40 000 and P=100 already-offered ports this is 4 000 000 operations vs 40 100.
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## Fix
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Convert `filter` to a `map[int]struct{}` (or Go 1.21 `sets.Set`) before the loop.
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```go
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func (b Bitmap) IndexesInRangeFiltered(set bool, from, to uint, filter []int) []int {
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filterSet := make(map[int]struct{}, len(filter))
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for _, f := range filter {
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filterSet[f] = struct{}{}
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}
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var indexes []int
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for i := from; i <= to && i < b.Size(); i++ {
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if b.Check(i) == set {
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if len(filterSet) == 0 {
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indexes = append(indexes, int(i))
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} else if _, skip := filterSet[int(i)]; !skip {
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indexes = append(indexes, int(i))
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}
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}
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}
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return indexes
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}
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```
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## Impact
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Every Nomad job placement that requests dynamic ports calls this function.
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High-density clusters scheduling many allocations simultaneously are most
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affected. Cumulative O(n²) slowdown degrades scheduler throughput.
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## Speedup
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~100x at R=40 000, P=100 (measured in unit test).
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34
defects/nomad/patch/nomad-0002-stream-namespace-filter.md
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34
defects/nomad/patch/nomad-0002-stream-namespace-filter.md
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# nomad-0002: stream/subscription filter() — O(events × namespaces)
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## CWE
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CWE-407: Inefficient Algorithmic Complexity
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## Severity
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MEDIUM
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## Location
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`nomad/stream/subscription.go:142`
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## Description
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The `filter()` function iterates over all incoming events and for each event
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calls `slices.Contains(req.Namespaces, event.Namespace)` — a linear scan over
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the namespace allowlist.
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```go
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for _, event := range events {
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if event.Namespace != "" && !slices.Contains(req.Namespaces, event.Namespace) {
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continue
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}
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...
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}
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```
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With E events per batch and N subscribed namespaces: O(E × N).
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## Fix
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Build a `map[string]struct{}` from `req.Namespaces` once before the loop
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(or store it pre-built on `SubscribeRequest`).
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## Speedup
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~Nx where N = number of subscribed namespaces; worst case in large multi-tenant
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clusters with many namespace subscriptions.
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35
defects/nomad/patch/nomad-0003-vault-secrets-dedup.md
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35
defects/nomad/patch/nomad-0003-vault-secrets-dedup.md
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# nomad-0003: GetVaultConfigurations secrets dedup — O(tasks × secrets²)
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## CWE
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CWE-407: Inefficient Algorithmic Complexity
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## Severity
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MEDIUM
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## Location
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`nomad/structs/structs.go:5098-5102`
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## Description
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Three nested loops — task groups → tasks → secrets — with an inner
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`slices.Contains(secrets, s.Provider)` scan to deduplicate providers.
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The `secrets` slice grows as providers are appended, so each check
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scans an O(P) growing accumulator.
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```go
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for _, tg := range j.TaskGroups {
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secrets := []string{}
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for _, task := range tg.Tasks {
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for _, s := range task.Secrets {
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if !slices.Contains(secrets, s.Provider) { // O(|secrets|)
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secrets = append(secrets, s.Provider)
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}
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}
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}
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}
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```
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## Fix
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Replace `secrets []string` accumulator with `map[string]struct{}`.
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## Speedup
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~Px where P = number of distinct secret providers per task group.
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30
defects/nomad/patch/nomad-0004-checkstore-difference.md
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30
defects/nomad/patch/nomad-0004-checkstore-difference.md
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# nomad-0004: checkstore.shim.Difference — O(current × ids)
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## CWE
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CWE-407: Inefficient Algorithmic Complexity
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## Severity
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MEDIUM
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## Location
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`client/serviceregistration/checks/checkstore/shim.go:152-155`
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## Description
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`Difference` iterates over all stored check IDs for an allocation and for
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each calls `slices.Contains(ids, id)` — a linear scan over the input slice.
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```go
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for id := range s.current[allocID] {
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if !slices.Contains(ids, id) { // O(|ids|)
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remove = append(remove, id)
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}
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}
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```
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With C stored checks and I input IDs: O(C × I).
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## Fix
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Build a `map[structs.CheckID]struct{}` from `ids` before the loop.
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## Speedup
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~Ix speedup where I = len(ids).
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296
defects/nomad/unit/NomadAlgorithmTest.java
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296
defects/nomad/unit/NomadAlgorithmTest.java
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package unit;
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import java.util.ArrayList;
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import java.util.HashMap;
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import java.util.HashSet;
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import java.util.List;
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import java.util.Map;
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import java.util.Set;
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/**
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* nomad CWE-407 unit tests:
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*
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* nomad-0001: Bitmap.IndexesInRangeFiltered — slices.Contains(filter) inside O(range) loop
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* nomad-0002: stream/subscription.filter() — slices.Contains(namespaces) per event
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* nomad-0003: GetVaultConfigurations dedup — slices.Contains(secrets) inside nested loops
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* nomad-0004: checkstore.Difference — slices.Contains(ids) per stored check
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*
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* No JUnit, no external deps.
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* Compile: javac -d . NomadAlgorithmTest.java
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* Run: java -ea unit.NomadAlgorithmTest
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*/
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public class NomadAlgorithmTest {
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static int passed = 0;
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static int total = 0;
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// -----------------------------------------------------------------------
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// nomad-0001: Bitmap.IndexesInRangeFiltered
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// -----------------------------------------------------------------------
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/**
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* Slow: mirrors Go IndexesInRangeFiltered with slices.Contains.
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* For each index in [from, to], linearly scans filter[] → O(range × |filter|).
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*/
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static long slowIndexesInRangeFiltered(boolean[] bitmap, int from, int to, int[] filter) {
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long ops = 0;
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List<Integer> result = new ArrayList<>();
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for (int i = from; i <= to; i++) {
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ops++;
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if (!bitmap[i]) {
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if (filter.length == 0) {
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result.add(i);
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} else {
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// linear scan — the defect
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boolean skip = false;
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for (int f : filter) {
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ops++;
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if (f == i) { skip = true; break; }
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}
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if (!skip) result.add(i);
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}
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}
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}
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return ops;
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}
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/**
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* Fast: build map[int] from filter once, then O(1) lookup per index → O(range + |filter|).
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*/
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static long fastIndexesInRangeFiltered(boolean[] bitmap, int from, int to, int[] filter) {
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long ops = 0;
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Set<Integer> filterSet = new HashSet<>();
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for (int f : filter) { filterSet.add(f); ops++; }
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List<Integer> result = new ArrayList<>();
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for (int i = from; i <= to; i++) {
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ops++;
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if (!bitmap[i]) {
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if (filterSet.isEmpty() || !filterSet.contains(i)) {
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result.add(i);
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}
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}
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}
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return ops;
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}
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static void testBitmapFilter() {
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System.out.println("--- nomad-0001: Bitmap.IndexesInRangeFiltered ---");
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// Simulate port range 20000-60000 (40000 ports), P already-offered ports
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int minPort = 20000;
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int maxPort = 60000;
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int bitmapSize = maxPort + 1;
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boolean[] bitmap = new boolean[bitmapSize]; // all false = available
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int[] offerSizes = {10, 50, 100};
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for (int p : offerSizes) {
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int[] filter = new int[p];
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for (int i = 0; i < p; i++) filter[i] = minPort + i;
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long slowOps = slowIndexesInRangeFiltered(bitmap, minPort, maxPort, filter);
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long fastOps = fastIndexesInRangeFiltered(bitmap, minPort, maxPort, filter);
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double ratio = (double) slowOps / fastOps;
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boolean pass = ratio > (double) p / 2.0; // conservative: expect at least p/2 speedup
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total++;
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if (pass) passed++;
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System.out.printf(" range=%d filter=%-3d slow=%,10d fast=%,10d ratio=%6.1fx %s%n",
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maxPort - minPort, p, slowOps, fastOps, ratio, pass ? "PASS" : "FAIL");
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assert pass : "nomad-0001 FAIL: ratio=" + ratio + " expected >" + (p / 2.0);
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}
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}
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// -----------------------------------------------------------------------
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// nomad-0002: stream/subscription filter — namespace check per event
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// -----------------------------------------------------------------------
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/**
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* Slow: slices.Contains(namespaces, event.Namespace) per event → O(E × N).
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*/
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static long slowFilterEvents(String[] events, String[] namespaces) {
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long ops = 0;
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List<String> result = new ArrayList<>();
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for (String event : events) {
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ops++;
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// linear scan over namespaces
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boolean found = false;
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for (String ns : namespaces) {
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ops++;
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if (ns.equals(event)) { found = true; break; }
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}
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if (found) result.add(event);
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}
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return ops;
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}
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/**
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* Fast: pre-build HashSet from namespaces → O(E + N).
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*/
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static long fastFilterEvents(String[] events, String[] namespaces) {
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long ops = 0;
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Set<String> nsSet = new HashSet<>();
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for (String ns : namespaces) { nsSet.add(ns); ops++; }
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List<String> result = new ArrayList<>();
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for (String event : events) {
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ops++;
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if (nsSet.contains(event)) result.add(event);
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}
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return ops;
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}
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static void testStreamNamespaceFilter() {
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System.out.println("--- nomad-0002: stream filter namespace scan ---");
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int[] eventCounts = {1000, 5000, 10000};
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int namespaceCount = 50;
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String[] namespaces = new String[namespaceCount];
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for (int i = 0; i < namespaceCount; i++) namespaces[i] = "ns-" + i;
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for (int e : eventCounts) {
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String[] events = new String[e];
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for (int i = 0; i < e; i++) events[i] = "ns-" + (i % namespaceCount);
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long slowOps = slowFilterEvents(events, namespaces);
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long fastOps = fastFilterEvents(events, namespaces);
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double ratio = (double) slowOps / fastOps;
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boolean pass = ratio > (double) namespaceCount / 3.0;
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total++;
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if (pass) passed++;
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System.out.printf(" events=%-5d namespaces=%d slow=%,10d fast=%,8d ratio=%6.1fx %s%n",
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e, namespaceCount, slowOps, fastOps, ratio, pass ? "PASS" : "FAIL");
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assert pass : "nomad-0002 FAIL: ratio=" + ratio;
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}
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}
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// -----------------------------------------------------------------------
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// nomad-0003: GetVaultConfigurations secret provider dedup
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// -----------------------------------------------------------------------
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/**
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* Slow: accumulate providers in a list, slices.Contains check per entry → O(S²).
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*/
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static long slowProviderDedup(String[] providers) {
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long ops = 0;
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List<String> secrets = new ArrayList<>();
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for (String p : providers) {
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ops++;
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boolean found = false;
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for (String existing : secrets) {
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ops++;
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if (existing.equals(p)) { found = true; break; }
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}
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if (!found) secrets.add(p);
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}
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return ops;
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}
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/**
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* Fast: use HashSet for O(1) contains → O(S).
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*/
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static long fastProviderDedup(String[] providers) {
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long ops = 0;
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Set<String> seen = new HashSet<>();
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for (String p : providers) {
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ops++;
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seen.add(p);
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}
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return ops;
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}
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static void testVaultSecretsDedup() {
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System.out.println("--- nomad-0003: vault secrets provider dedup ---");
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// Many tasks, few unique providers → worst case for the dedup scan
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int[] sizes = {200, 500, 1000};
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int uniqueProviders = 10;
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for (int n : sizes) {
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String[] providers = new String[n];
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for (int i = 0; i < n; i++) providers[i] = "provider-" + (i % uniqueProviders);
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long slowOps = slowProviderDedup(providers);
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long fastOps = fastProviderDedup(providers);
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double ratio = (double) slowOps / fastOps;
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boolean pass = ratio > 5.0;
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total++;
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if (pass) passed++;
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System.out.printf(" tasks=%-4d unique=%d slow=%,8d fast=%,6d ratio=%6.1fx %s%n",
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n, uniqueProviders, slowOps, fastOps, ratio, pass ? "PASS" : "FAIL");
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assert pass : "nomad-0003 FAIL: ratio=" + ratio;
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}
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}
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// -----------------------------------------------------------------------
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// nomad-0004: checkstore.Difference — O(current × ids)
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// -----------------------------------------------------------------------
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/**
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* Slow: for each stored ID, scan the ids[] slice → O(C × I).
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*/
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static long slowDifference(String[] stored, String[] ids) {
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long ops = 0;
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List<String> remove = new ArrayList<>();
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for (String id : stored) {
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ops++;
|
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boolean found = false;
|
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for (String x : ids) {
|
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ops++;
|
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if (x.equals(id)) { found = true; break; }
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}
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if (!found) remove.add(id);
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}
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return ops;
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}
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/**
|
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* Fast: build set from ids, O(1) lookup per stored ID → O(C + I).
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*/
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static long fastDifference(String[] stored, String[] ids) {
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long ops = 0;
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Set<String> idSet = new HashSet<>();
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for (String x : ids) { idSet.add(x); ops++; }
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List<String> remove = new ArrayList<>();
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for (String id : stored) {
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ops++;
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if (!idSet.contains(id)) remove.add(id);
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}
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return ops;
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}
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|
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static void testChecksStoreDifference() {
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System.out.println("--- nomad-0004: checkstore.Difference ---");
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int[] storedCounts = {100, 500, 1000};
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int idCount = 80;
|
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|
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for (int c : storedCounts) {
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String[] stored = new String[c];
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for (int i = 0; i < c; i++) stored[i] = "check-" + i;
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String[] ids = new String[idCount];
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for (int i = 0; i < idCount; i++) ids[i] = "check-" + (i * 3); // sparse overlap
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long slowOps = slowDifference(stored, ids);
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long fastOps = fastDifference(stored, ids);
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double ratio = (double) slowOps / fastOps;
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boolean pass = ratio > (double) idCount / 3.0;
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total++;
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if (pass) passed++;
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System.out.printf(" stored=%-4d ids=%d slow=%,8d fast=%,6d ratio=%6.1fx %s%n",
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c, idCount, slowOps, fastOps, ratio, pass ? "PASS" : "FAIL");
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assert pass : "nomad-0004 FAIL: ratio=" + ratio;
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}
|
||||
}
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// -----------------------------------------------------------------------
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public static void main(String[] args) {
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System.out.println("=== Nomad CWE-407 unit tests ===");
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testBitmapFilter();
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testStreamNamespaceFilter();
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testVaultSecretsDedup();
|
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testChecksStoreDifference();
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System.out.printf("%n%d/%d PASS%n", passed, total);
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if (passed != total) {
|
||||
System.exit(1);
|
||||
}
|
||||
}
|
||||
}
|
||||
Loading…
Add table
Add a link
Reference in a new issue