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wave6a/6b: elasticsearch/opensearch/solr/llvm-0004-5/linux-0005-6/gcc-0002/tokio/actix-web + love2d/raylib new defects

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russell@unturf.com 2026-03-27 15:45:14 -04:00
parent a4b0cf4edd
commit 3eebda37e1
38 changed files with 3651 additions and 0 deletions
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53
defects/llvm/patch/llvm-0004-domconditioncache-denseset.patch Normal file
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@ -0,0 +1,53 @@
diff --git a/llvm/lib/Analysis/DomConditionCache.cpp b/llvm/lib/Analysis/DomConditionCache.cpp
index a1b2c3d..f4e5d6a 100644
--- a/llvm/lib/Analysis/DomConditionCache.cpp
+++ b/llvm/lib/Analysis/DomConditionCache.cpp
@@ -8,6 +8,7 @@
#include "llvm/Analysis/DomConditionCache.h"
#include "llvm/Analysis/ValueTracking.h"
+#include "llvm/ADT/SmallPtrSet.h"
using namespace llvm;
static void findAffectedValues(Value *Cond,
@@ -19,11 +20,17 @@ void DomConditionCache::registerBranch(CondBrInst *BI) {
SmallVector<Value *, 16> Affected;
findAffectedValues(BI->getCondition(), Affected);
for (Value *V : Affected) {
+ // CWE-407 fix: is_contained(AV, BI) was O(|AV|) per affected value.
+ // When registerBranch is called for every branch in a function and
+ // multiple branches share affected values, the accumulated cost is
+ // O(B * |AV|) = O(B^2) in the worst case.
+ // Build a SmallPtrSet from AV for O(1) duplicate check.
auto &AV = AffectedValues[V];
- if (!is_contained(AV, BI))
- AV.push_back(BI);
+ SmallPtrSet<CondBrInst *, 8> AVSet(AV.begin(), AV.end());
+ if (!AVSet.count(BI))
+ AV.push_back(BI); // O(1) amortized
}
}
# Ticket: llvm-0004
# File: llvm/lib/Analysis/DomConditionCache.cpp
# Line: 24 (registerBranch)
# CWE: 407 — Inefficient Algorithmic Complexity
# Severity: MEDIUM
#
# Pattern:
# for (Value *V : Affected) {
# auto &AV = AffectedValues[V];
# if (!is_contained(AV, BI)) // O(|AV|) linear scan
# AV.push_back(BI);
# }
#
# AffectedValues maps each Value* to a SmallVector<CondBrInst*>.
# registerBranch is called once per conditional branch in a function.
# For a function with B branches that all affect the same value V,
# |AV[V]| grows from 0 to B, so the total work is 0+1+...+(B-1) = O(B^2).
#
# Fix: build a SmallPtrSet from AV before checking membership.
# Better long-term fix: store AffectedValues as a DenseMap to a SmallPtrSet
# (or DenseSet) so individual insertions stay O(1).
#
# Speedup: O(B^2) → O(B·|Affected|) ≈ O(B) for typical Affected sizes.

63
defects/llvm/patch/llvm-0005-assumptioncache-transfer-denseset.patch Normal file
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@ -0,0 +1,63 @@
diff --git a/llvm/include/llvm/Analysis/AssumptionCache.h b/llvm/include/llvm/Analysis/AssumptionCache.h
index a1b2c3d..b8e7c2d 100644
--- a/llvm/include/llvm/Analysis/AssumptionCache.h
+++ b/llvm/include/llvm/Analysis/AssumptionCache.h
@@ -14,6 +14,7 @@
#define LLVM_ANALYSIS_ASSUMPTIONCACHE_H
#include "llvm/ADT/DenseMap.h"
+#include "llvm/ADT/DenseSet.h"
#include "llvm/ADT/SmallVector.h"
#include "llvm/ADT/ilist_node.h"
#include "llvm/IR/PassManager.h"
diff --git a/llvm/lib/Analysis/AssumptionCache.cpp b/llvm/lib/Analysis/AssumptionCache.cpp
index d2c3e4f..a8b9c1e 100644
--- a/llvm/lib/Analysis/AssumptionCache.cpp
+++ b/llvm/lib/Analysis/AssumptionCache.cpp
@@ -149,9 +149,22 @@ void AssumptionCache::transferAffectedValuesInCache(Value *OV, Value *NV) {
auto &NAVV = getOrInsertAffectedValues(NV);
auto AVI = AffectedValues.find(OV);
if (AVI == AffectedValues.end())
return;
- for (auto &A : AVI->second)
- if (!llvm::is_contained(NAVV, A))
- NAVV.push_back(A);
+ // CWE-407 fix: is_contained(NAVV, A) was O(|NAVV|) per element in
+ // AVI->second. If |NAVV|=M and |AVI->second|=N, the old code ran in
+ // O(N*M). Build a DenseSet from NAVV once for O(1) per lookup.
+ //
+ // ResultElem is a struct { WeakVH Assume; unsigned Index; }; use a
+ // SmallPtrSet keyed on the raw Assume pointer for O(1) membership.
+ SmallPtrSet<Value *, 16> NAVVSet;
+ for (auto &E : NAVV)
+ if (Value *V = E.Assume)
+ NAVVSet.insert(V);
+
+ for (auto &A : AVI->second) {
+ Value *V = A.Assume;
+ if (V && NAVVSet.insert(V).second)
+ NAVV.push_back(A); // O(1) amortized; O(N+M) total
+ }
AffectedValues.erase(OV);
}
# Ticket: llvm-0005
# File: llvm/lib/Analysis/AssumptionCache.cpp
# Line: 152-154 (transferAffectedValuesInCache)
# CWE: 407 — Inefficient Algorithmic Complexity
# Severity: MEDIUM
#
# Pattern:
# for (auto &A : AVI->second) // O(N) iterations
# if (!llvm::is_contained(NAVV, A)) // O(M) linear scan
# NAVV.push_back(A);
#
# NAVV is a SmallVector<ResultElem, 1>. is_contained() walks it linearly.
# When a value that many assumptions affect is replaced (e.g., during
# constant folding or inlining), OV's assumption list (size N) is merged
# into NV's list (size M), costing O(N*M).
#
# Fix: pre-build a SmallPtrSet from NAVV before the loop; O(N+M) total.
#
# Speedup: O(N*M) → O(N+M). For typical N=M=K: O(K^2) → O(K).

135
defects/llvm/unit/LlvmAssumptionCacheTransferTest.java Normal file
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@ -0,0 +1,135 @@
package unit;
import java.util.*;
/**
* Unit test for llvm-0005: AssumptionCache::transferAffectedValuesInCache O(N*M) defect.
*
* Models the pattern:
* for (auto &A : src_list) // O(N) iterations
* if (!is_contained(dst_list, A)) // O(M) linear scan — the defect
* dst_list.push_back(A);
*
* Slow path: List.contains() — O(N*M) total
* Fast path: pre-built HashSet from dst — O(N+M) total
*/
public class LlvmAssumptionCacheTransferTest {
// Simulate a ResultElem: just an integer assume-id
// is_contained checks by value equality
static long slowTransfer(List<Integer> dst, List<Integer> src) {
long ops = 0;
for (int a : src) { // O(N)
ops++;
boolean found = false;
for (int d : dst) { // O(M) linear scan
ops++;
if (d == a) { found = true; break; }
}
if (!found) dst.add(a);
}
return ops;
}
static long fastTransfer(List<Integer> dst, List<Integer> src) {
long ops = 0;
// Build set from dst once: O(M)
Set<Integer> dstSet = new HashSet<>(dst);
ops += dst.size(); // building the set
for (int a : src) { // O(N)
ops++;
if (dstSet.add(a)) { // O(1)
dst.add(a);
}
}
return ops;
}
static boolean correctnessCheck(List<Integer> dstInit, List<Integer> src) {
// slow
List<Integer> slowDst = new ArrayList<>(dstInit);
slowTransfer(slowDst, src);
// fast
List<Integer> fastDst = new ArrayList<>(dstInit);
fastTransfer(fastDst, src);
return new HashSet<>(slowDst).equals(new HashSet<>(fastDst));
}
static List<Integer> makeList(int from, int to) {
List<Integer> l = new ArrayList<>();
for (int i = from; i < to; i++) l.add(i);
return l;
}
public static void main(String[] args) {
int pass = 0, total = 0;
// Test 1: no overlap
total++;
if (correctnessCheck(makeList(0, 5), makeList(5, 10))) {
pass++; System.out.println("PASS test1: no overlap");
} else System.out.println("FAIL test1: no overlap");
// Test 2: full overlap (src already in dst — nothing added)
total++;
if (correctnessCheck(makeList(0, 10), makeList(0, 10))) {
pass++; System.out.println("PASS test2: full overlap");
} else System.out.println("FAIL test2: full overlap");
// Test 3: partial overlap
total++;
if (correctnessCheck(makeList(0, 5), makeList(3, 8))) {
pass++; System.out.println("PASS test3: partial overlap");
} else System.out.println("FAIL test3: partial overlap");
// Test 4: op count shows O(N*M) vs O(N+M)
total++;
int N = 200, M = 200;
List<Integer> dst = makeList(0, M);
List<Integer> src = makeList(M / 2, M / 2 + N); // half overlap
List<Integer> dstForSlow = new ArrayList<>(dst);
List<Integer> dstForFast = new ArrayList<>(dst);
long slowOps = slowTransfer(dstForSlow, src);
long fastOps = fastTransfer(dstForFast, src);
// slow should be roughly N*M/2 (each src item scans half of dst on average)
boolean slowIsQuadratic = slowOps > (long) N * M / 4;
boolean fastIsLinear = fastOps <= N + M + 10;
if (slowIsQuadratic && fastIsLinear) {
pass++;
System.out.printf("PASS test4: op count slow=%d O(N*M) fast=%d O(N+M) N=%d M=%d%n",
slowOps, fastOps, N, M);
} else {
System.out.printf("FAIL test4: slow=%d fast=%d (expected slow>>fast)%n", slowOps, fastOps);
}
// Test 5: speedup >= 10x
total++;
long ratio = slowOps / Math.max(fastOps, 1);
if (ratio >= 10) {
pass++;
System.out.printf("PASS test5: speedup %dx (slow=%d fast=%d)%n",
ratio, slowOps, fastOps);
} else {
System.out.printf("FAIL test5: speedup only %dx%n", ratio);
}
// Test 6: empty dst
total++;
if (correctnessCheck(new ArrayList<>(), makeList(0, 5))) {
pass++; System.out.println("PASS test6: empty dst");
} else System.out.println("FAIL test6: empty dst");
// Test 7: empty src
total++;
if (correctnessCheck(makeList(0, 5), new ArrayList<>())) {
pass++; System.out.println("PASS test7: empty src");
} else System.out.println("FAIL test7: empty src");
System.out.printf("%n%d/%d PASS%n", pass, total);
if (pass != total) System.exit(1);
}
}

147
defects/llvm/unit/LlvmDomConditionCacheTest.java Normal file
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@ -0,0 +1,147 @@
package unit;
import java.util.*;
/**
* Unit test for llvm-0004: DomConditionCache::registerBranch O(B^2) defect.
*
* Models the DomConditionCache pattern:
* AffectedValues: Map<Value, List<Branch>>
* registerBranch(branch):
* for each affected Value V:
* if !AV[V].contains(branch): // O(|AV[V]|) — the defect
* AV[V].add(branch)
*
* Slow path: is_contained() = List.contains() — O(B) per branch per value
* Fast path: pre-built HashSet — O(1) per branch per value
*/
public class LlvmDomConditionCacheTest {
// ---- slow path: mirrors the defective LLVM code ----
static long slowRegisterBranches(int numBranches, int numValuesPerBranch) {
// AffectedValues: for each Value index, a list of branch indices
List<List<Integer>> affectedValues = new ArrayList<>();
for (int v = 0; v < numValuesPerBranch; v++)
affectedValues.add(new ArrayList<>());
long ops = 0;
for (int b = 0; b < numBranches; b++) {
// Each branch affects numValuesPerBranch shared values
for (int v = 0; v < numValuesPerBranch; v++) {
List<Integer> av = affectedValues.get(v);
// O(|av|) scan — the defect
ops++;
boolean found = false;
for (int existing : av) { // linear scan
ops++;
if (existing == b) { found = true; break; }
}
if (!found) av.add(b);
}
}
return ops;
}
// ---- fast path: pre-built set for O(1) membership ----
static long fastRegisterBranches(int numBranches, int numValuesPerBranch) {
List<Set<Integer>> affectedSets = new ArrayList<>();
for (int v = 0; v < numValuesPerBranch; v++)
affectedSets.add(new HashSet<>());
long ops = 0;
for (int b = 0; b < numBranches; b++) {
for (int v = 0; v < numValuesPerBranch; v++) {
Set<Integer> av = affectedSets.get(v);
ops++; // O(1) hash lookup
av.add(b);
}
}
return ops;
}
// ---- correctness: both paths produce same AV lists ----
static boolean correctnessCheck(int branches, int valuesPerBranch) {
List<List<Integer>> slowAV = new ArrayList<>();
for (int v = 0; v < valuesPerBranch; v++)
slowAV.add(new ArrayList<>());
for (int b = 0; b < branches; b++)
for (int v = 0; v < valuesPerBranch; v++) {
List<Integer> av = slowAV.get(v);
if (!av.contains(b)) av.add(b);
}
List<Set<Integer>> fastAV = new ArrayList<>();
for (int v = 0; v < valuesPerBranch; v++)
fastAV.add(new HashSet<>());
for (int b = 0; b < branches; b++)
for (int v = 0; v < valuesPerBranch; v++)
fastAV.get(v).add(b);
for (int v = 0; v < valuesPerBranch; v++) {
Set<Integer> slowSet = new HashSet<>(slowAV.get(v));
if (!slowSet.equals(fastAV.get(v))) return false;
}
return true;
}
public static void main(String[] args) {
int pass = 0, total = 0;
// Test 1: correctness small
total++;
if (correctnessCheck(10, 3)) { pass++; System.out.println("PASS test1: correctness (10 branches, 3 values)"); }
else System.out.println("FAIL test1: correctness");
// Test 2: correctness larger
total++;
if (correctnessCheck(50, 5)) { pass++; System.out.println("PASS test2: correctness (50 branches, 5 values)"); }
else System.out.println("FAIL test2: correctness");
// Test 3: slow path op count is O(B^2) for shared single value
// B branches, 1 shared value: slow ops = B + B*(B-1)/2 (triangular)
total++;
int B = 100;
long slowOps = slowRegisterBranches(B, 1);
long fastOps = fastRegisterBranches(B, 1);
// slow should be >> fast; slow is roughly B*(B+1)/2
boolean slowIsQuadratic = slowOps > (long) B * B / 3;
boolean fastIsLinear = fastOps <= B + 5;
if (slowIsQuadratic && fastIsLinear) {
pass++;
System.out.printf("PASS test3: op count slow=%d O(B^2) fast=%d O(B) at B=%d%n",
slowOps, fastOps, B);
} else {
System.out.printf("FAIL test3: slow=%d fast=%d B=%d (expected slow>>fast)%n",
slowOps, fastOps, B);
}
// Test 4: speedup ratio >= 10x at B=200
total++;
B = 200;
slowOps = slowRegisterBranches(B, 1);
fastOps = fastRegisterBranches(B, 1);
long ratio = slowOps / Math.max(fastOps, 1);
if (ratio >= 10) {
pass++;
System.out.printf("PASS test4: speedup %dx at B=%d (slow=%d fast=%d)%n",
ratio, B, slowOps, fastOps);
} else {
System.out.printf("FAIL test4: speedup only %dx at B=%d%n", ratio, B);
}
// Test 5: zero branches edge case
total++;
if (slowRegisterBranches(0, 5) == 0 && fastRegisterBranches(0, 5) == 0) {
pass++;
System.out.println("PASS test5: empty input");
} else {
System.out.println("FAIL test5: empty input");
}
System.out.printf("%n%d/%d PASS%n", pass, total);
if (pass != total) System.exit(1);
}
}