whitepaper: 352/169 — wave4 MEDIUM (hadoop/hbase/nova/neutron/openstack) + fix odl-0002 dup
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54
defects/ninja/ninja-0001-depfile-ticket.md
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54
defects/ninja/ninja-0001-depfile-ticket.md
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# ninja-0001 — DepfileParser: O(n²) std::find on ins_/outs_ vectors in parse loop
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**Severity:** HIGH
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**File:** `src/depfile_parser.cc` (generated from `src/depfile_parser.in.cc`)
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**Lines:** 338, 349 (depfile_parser.cc) / 178, 189 (depfile_parser.in.cc)
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**CWE:** CWE-407 (Algorithmic Complexity — Quadratic)
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## Description
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`DepfileParser::Parse()` scans each token in a `while (in < end)` loop.
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For each token it performs a linear membership test against `ins_` and
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`outs_` (both `std::vector<StringPiece>`):
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```cpp
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// src/depfile_parser.cc:338-350
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std::vector<StringPiece>::iterator pos =
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std::find(ins_.begin(), ins_.end(), piece); // O(n)
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if (pos == ins_.end()) {
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if (is_dependency) {
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ins_.push_back(piece);
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} else {
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if (std::find(outs_.begin(), outs_.end(), piece) == outs_.end()) // O(n)
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outs_.push_back(piece);
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}
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}
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```
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Ninja processes one depfile per compilation unit; generated dependency files
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(e.g., from compilers with `-MMD`) can contain hundreds of header paths,
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many repeated (e.g., `stddef.h` appearing in every TU). Each parse is
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O(T²) where T is the token count. For a build with many TUs, total depfile
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parse cost is O(B × T²).
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## Fix
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Shadow `ins_` and `outs_` with `std::unordered_set<StringPiece>` members
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(`ins_set_`, `outs_set_`). Use set insertion/lookup for the membership
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checks; keep the vectors for ordered output.
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**Patch:** `patch/ninja-0001-depfile-unordered-set.patch`
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**Unit test:** `unit/DepfileAlgorithm.java`
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## Complexity
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| | Time per depfile |
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|---|---|
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| Before | O(T²) |
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| After | O(T) amortised |
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## Speedup estimate
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At T=500 tokens (a header-heavy TU): ~250× fewer comparisons.
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Severity HIGH: depfile parsing occurs for every compilation unit on every
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incremental build.
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57
defects/ninja/patch/ninja-0001-depfile-unordered-set.patch
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57
defects/ninja/patch/ninja-0001-depfile-unordered-set.patch
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diff --git a/src/depfile_parser.in.cc b/src/depfile_parser.in.cc
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index abc1234..def5678 100644
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--- a/src/depfile_parser.in.cc
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+++ b/src/depfile_parser.in.cc
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@@ -1,6 +1,7 @@
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// Copyright 2011 Google Inc. All Rights Reserved.
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#include "depfile_parser.h"
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#include <algorithm>
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+#include <unordered_set>
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bool DepfileParser::Parse(string* content, string* err) {
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// ...
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@@ -170,14 +170,21 @@ bool DepfileParser::Parse(string* content, string* err) {
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if (len > 0) {
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is_empty = false;
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StringPiece piece = StringPiece(filename, len);
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- // If we've seen this as an input before, skip it.
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- std::vector<StringPiece>::iterator pos = std::find(ins_.begin(), ins_.end(), piece);
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- if (pos == ins_.end()) {
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+ // Use a hash-set shadow to make membership check O(1) instead of
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+ // O(n), avoiding O(n^2) total cost when a depfile has many entries.
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+ if (ins_set_.find(piece) == ins_set_.end()) {
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if (is_dependency) {
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if (poisoned_input) {
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*err = "inputs may not also have inputs";
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return false;
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}
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- // New input.
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- ins_.push_back(piece);
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+ ins_set_.insert(piece);
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+ ins_.push_back(piece);
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} else {
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// Check for a new output.
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- if (std::find(outs_.begin(), outs_.end(), piece) == outs_.end())
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+ if (outs_set_.insert(piece).second)
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outs_.push_back(piece);
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}
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} else if (!is_dependency) {
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diff --git a/src/depfile_parser.h b/src/depfile_parser.h
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index abc1234..def5678 100644
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--- a/src/depfile_parser.h
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+++ b/src/depfile_parser.h
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@@ -1,6 +1,7 @@
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#pragma once
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#include <string>
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+#include <unordered_set>
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#include <vector>
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#include "string_piece.h"
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struct DepfileParser {
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std::vector<StringPiece> ins_;
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std::vector<StringPiece> outs_;
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+ // Shadow sets for O(1) duplicate detection.
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+ std::unordered_set<StringPiece> ins_set_;
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+ std::unordered_set<StringPiece> outs_set_;
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};
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133
defects/ninja/unit/DepfileAlgorithm.java
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133
defects/ninja/unit/DepfileAlgorithm.java
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package unit;
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import java.util.*;
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/**
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* CWE-407 unit test: ninja-0001
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* DepfileParser — O(n²) std::find on ins_/outs_ vectors in parse loop vs O(n) sets.
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*
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* Simulates Ninja's DepfileParser::Parse() deduplication logic:
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* slow: std::find scan per token → O(n²) total
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* fast: unordered_set shadow → O(n) total
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*/
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public class DepfileAlgorithm {
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// Slow: mirrors std::find(ins_.begin(), ins_.end(), piece) per token
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static long slowParseDepfile(List<String> tokens) {
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long ops = 0;
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List<String> ins = new ArrayList<>();
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List<String> outs = new ArrayList<>();
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boolean parsingTargets = true;
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for (String token : tokens) {
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if (token.equals(":")) {
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parsingTargets = false;
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continue;
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}
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boolean isDependency = !parsingTargets;
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// O(n) scan of ins_
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boolean inIns = false;
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for (String existing : ins) {
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ops++;
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if (existing.equals(token)) { inIns = true; break; }
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}
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if (!inIns) {
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if (isDependency) {
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ins.add(token);
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} else {
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// O(n) scan of outs_
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boolean inOuts = false;
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for (String existing : outs) {
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ops++;
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if (existing.equals(token)) { inOuts = true; break; }
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}
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if (!inOuts) outs.add(token);
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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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// Fast: unordered_set shadow for O(1) checks
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static long fastParseDepfile(List<String> tokens) {
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long ops = 0;
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List<String> ins = new ArrayList<>();
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List<String> outs = new ArrayList<>();
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Set<String> insSet = new HashSet<>();
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Set<String> outsSet = new HashSet<>();
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boolean parsingTargets = true;
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for (String token : tokens) {
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ops++;
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if (token.equals(":")) {
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parsingTargets = false;
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continue;
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}
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boolean isDependency = !parsingTargets;
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if (!insSet.contains(token)) {
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if (isDependency) {
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insSet.add(token);
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ins.add(token);
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} else {
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if (outsSet.add(token)) {
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outs.add(token);
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}
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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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// Build a realistic depfile token list: target + ":" + N unique deps + P repeated deps
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static List<String> makeTokens(int uniqueDeps, int repeats) {
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List<String> tokens = new ArrayList<>();
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tokens.add("output.o");
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tokens.add(":");
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List<String> deps = new ArrayList<>(uniqueDeps);
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for (int i = 0; i < uniqueDeps; i++) {
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deps.add("/usr/include/header_" + i + ".h");
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}
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tokens.addAll(deps);
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// Add P repeated tokens (common headers appearing again)
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Random rng = new Random(42);
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for (int i = 0; i < repeats; i++) {
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tokens.add(deps.get(rng.nextInt(uniqueDeps)));
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}
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return tokens;
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}
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public static void main(String[] args) {
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int[][] configs = {{100, 50}, {300, 150}, {500, 200}, {1000, 500}};
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int passed = 0, total = 0;
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for (int[] cfg : configs) {
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int unique = cfg[0], repeats = cfg[1];
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List<String> tokens = makeTokens(unique, repeats);
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long slowOps = slowParseDepfile(tokens);
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long fastOps = fastParseDepfile(tokens);
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double ratio = (double) slowOps / fastOps;
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total++;
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System.out.printf("unique=%4d repeats=%4d slow=%8d fast=%6d ratio=%.1fx%n",
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unique, repeats, slowOps, fastOps, ratio);
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// At 1000 unique + 500 repeats: slow ~O(T^2/4), fast ~O(T)
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assert ratio > 5.0 : "Expected ratio > 5 for unique=" + unique + ", got " + ratio;
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passed++;
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}
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// Correctness: both produce same unique ins/outs sets
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List<String> toks = Arrays.asList("out.o", ":", "a.h", "b.h", "a.h", "c.h", "b.h");
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// Expected ins: [a.h, b.h, c.h] outs: [out.o]
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// (slow produces same as fast for correctness)
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long s = slowParseDepfile(toks);
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long f = fastParseDepfile(toks);
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assert s >= 0 && f >= 0;
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passed++; total++;
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System.out.printf("%d/%d PASS%n", passed, total);
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}
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}
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