GoogleTest is standard for C/C testing, but regulated embedded systems require more. Learn practical strategies for compliance and verification. 📅 June 23, 10:00 AM PDT Learn More / Register ➡️hubs.la/Q04l3BcV0

C test output should be readable, not noisy. I improved vix tests so failed GoogleTest cases are shown with a clean summary, useful location, focused error message, and a small code frame. The raw runner output is still available with --raw, but the default output now helps you understand the failure faster.

C test output should be readable, not noisy. I improved vix tests so failed GoogleTest cases are shown with a clean summary, useful location, focused error message, and a small code frame. The raw runner output is still available with --raw, but the default output now helps you understand the failure faster.

C test output should be readable, not noisy. I improved vix tests so failed GoogleTest cases are shown with a clean summary, useful location, focused error message, and a small code frame. The raw runner output is still available with --raw, but the default output now helps you understand the failure faster.

Chega de "flash and pray"! 💥🙏 Se você desenvolve para ESP32 e quer elevar a qualidade do seu código, este artigo é leitura obrigatória. Aprenda a implementar testes unitários no ESP-IDF 🔗 Saiba mais: embarcados.com.br/testes-uni… #ESP32 #ESPIDF #TestesUnitários #GoogleTest

Big news for Meson users 🎉 CLion now provides full support for major unit test frameworks – GoogleTest, Catch2, Boost.Test, and doctest – in your Meson projects. Unit testing in CLion is no longer just for CMake! Download and try the latest EAP build: jb.gg/cl_261_eap_5

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今日のGitLab CIとの戦いは振るいませんでした。早くあいつにGoogleTestをやらせてえんだ俺は。

I’ve been using GoogleTest for years and I guess it’s okay, it gets the job done. I’m just wondering how a non-macro framework would look like… and what mechanism would be used to stop test case execution early? Maybe it could be done using reflection magic?

記事を投稿しました！ 四日では覚えられないC 言語【Day 7: GoogleTest のTest Fixture】 on #Qiita qiita.com/nano357/items/f42d…

なにか寂しかったので、更新はした！ 見直しは。。。 四日では覚えられないC 言語【Day 6: GoogleTest の基本構成】 qiita.com/nano357/items/5114… #Qiita @nano357より

記事を投稿しました！ 四日では覚えられないC 言語【Day 6: GoogleTest の基本構成】 on #Qiita qiita.com/nano357/items/5114…

想学 C ，看书籍理论容易犯困，而看视频教程，虽然觉得看懂了，但是缺乏实际动手能力。 刚好在 GitHub 发现了 lectures-and-homeworks 这个配套仓库，是油管高分课程 “C for yourself” 的精华浓缩。 完整收录了从 Hello World 到模板编程的高级课程讲义，关键是配有大量实战作业。 带我们一步步编写猜数字游戏、终端图像处理库，在实战中掌握 CMake 构建、GoogleTest 测试以及内存管理。 GitHub：github.com/cpp-for-yourself/… 所有代码示例均通过自动化测试验证，既可配合视频学习，也能直接作为独立的现代 C 交互式教材。 适合想要系统掌握 C 工程化开发，拒绝纸上谈兵的朋友。

Github copilotさん天才すぎる… テスト用プロジェクトない状態で「こな関数のテストケースをgoogleTestで作って」って言ったら全部作ってくれたンゴ… お前は逆に何を持ちえないんだ… なおワイ氏うっかりPATHを削除してしまう体たらく🥹

Parasoft Bridges the AI and Compliance Gap With Certified C/C test CT Featuring GoogleTest - engineering-update.co.uk/202…

今日の勉強時間 266分⏰️ C のテスト駆動開発を久しぶりに勉強しました。 GoogleTestって便利ですね！🙌

بنستخدم GoogleTest ففي فيتشر انا عايزها مش سابورتد في الفريمورك، سابورتتها.

I'm in the process of replacing GoogleTest with my own custom implementation in Web . This is so far:

From tomorrow, I’ll begin a full breakdown of the $QUBIC Whitepaper, every single part of it, from 0 to 300. I’ve carefully extracted 300 key points directly from the official whitepaper, covering every concept, mechanism, and layer that defines $QUBIC. Each day, I’ll break down one or more of these points, explaining what $QUBIC truly is, how it works under the hood, and why it’s one of the most advanced Layer-1 architectures ever built. This is a deep dive into the full architecture, economics, and AI integration behind $QUBIC. By the end, you’ll understand every moving part that powers the network from the inside out. $QUBIC WHITEPAPER - 300 Key Points I’ll Be Breaking Down (From 0 to 300) 1. Abstract & purpose 2. AI and blockchain convergence 3. AGI computational challenges 4. Blockchain inefficiencies 5. CfB’s decentralization vision 6. Foundation of Qubic Layer-1 7. Quorum consensus model 8. Byzantine Fault Tolerance (BFT) 9. 676 Computors 10. 451 quorum requirement 11. 225 fault tolerance capacity 12. Useful Proof of Work (uPoW) 13. Purposeful computation 14. Energy-efficient design 15. CPU participation 16. Decentralized AI contribution 17. AI model training 18. Fair computation rewards 19. Adaptive difficulty 20. Efficiency factor 21. Solution submission rate 22. Fairness across miners 23. Meaningful computation 24. Reduced energy waste 25. Productive mining 26. Deflationary economy 27. QUBIC coin as energy unit 28. Aligned incentives 29. Controlled emissions 30. Weekly emission cycle 31. Supply Watcher contract 32. Burn-based deflation 33. Dynamic burn rates 34. Halving schedule 35. 200T max supply cap 36. Early adoption phase 37. Bootstrapping phase 38. Stabilization phase 39. Sustainability phase 40. Computor rewards 41. Revenue score system 42. Epoch-based emissions 43. High-performance Computors 44. Miner-Computor contracts 45. Incentive alignment 46. Deflationary pressure 47. Controlled scarcity 48. Governance framework 49. Quorum voting 50. Arbitrator oversight 51. Fault detection 52. Computor replacement 53. Supermajority override (451 votes) 54. Decentralized decision-making 55. Byzantine fault resilience 56. Fault isolation 57. Quorum intersection 58. Lamport-Castro-Liskov theory 59. Szabo quorum principles 60. Majority consensus 61. Secure quorum design 62. Reliable decision-making 63. Tick system 64. Tick leader rotation 65. Sub-second finality 66. TickData creation 67. Transaction digests 68. KangarooTwelve hashing 69. Tick verification 70. Empty tick rule (226 ) 71. Six-peer propagation 72. Faulty state marking 73. Manual intervention process 74. Tick consensus 75. Aligned state formation 76. Consensus safety 77. Liveness guarantee 78. BFT safety & liveness 79. Consensus integrity 80. Computor diversity 81. Decentralized trust 82. Peer-to-peer verification 83. Redundant computation 84. Network scalability 85. Fault tolerance 86. Bare-metal deployment 87. Hardware-level efficiency 88. Operating system elimination 89. Direct hardware access 90. Low latency 91. UEFI shell usage 92. Simplified environment 93. Enhanced reliability 94. Fewer attack vectors 95. Physical security layer 96. Decentralized resilience 97. 55M transfers per second 98. Custom TCP protocol 99. High throughput 100. Node communication optimization 101. Peer verification system 102. IPv4-based peer IDs 103. Peer reputation tracking 104. Verified/unverified states 105. ExchangePublicPeers message 106. Peer removal rules 107. Minimum peer retention 108. Efficient propagation layer 109. Network synchronization 110. Smart contract execution 111. No virtual machine 112. Native code compilation 113. C subset execution 114. Real-time performance 115. Zero gas fees 116. Reduced overhead 117. Isolated contracts 118. No external libraries 119. Restricted C features 120. No pointers or arrays 121. No preprocessor directives 122. No uninitialized memory 123. Contract validation tool 124. Automated testing (GoogleTest) 125. Developer review stage 126. Testnet verification 127. 95% risk reduction 128. Secure environment 129. Isolation mechanisms 130. Verified contract release 131. HashWallet integration 132. Hardware wallet support 133. Vottun collaboration 134. Vottun Bridge 135. Ethereum interoperability 136. Arbitrum interoperability 137. Cross-chain liquidity 138. Ecosystem expansion 139. Developer grants 140. Incubation program 141. Decentralized project support 142. Infrastructure growth 143. Community participation 144. Developer ecosystem 145. QX decentralized exchange 146. Feeless trading 147. Sub-second order execution 148. High-frequency trading 149. Secure trading 150. Smart contract-powered DEX 151. Micropayments support 152. IoT transactions 153. Content monetization 154. DeFi applications 155. Gaming integration 156. Supply chain management 157. AI computing marketplace 158. Distributed training tasks 159. AI validation layer 160. Aigarth integration 161. Decentralized AGI 162. CPU-based AGI training 163. Sequential AI computation 164. Brain-inspired processing 165. Collective intelligence 166. Decentralized evolution 167. Transparent AI ethics 168. Open-source AGI 169. Global compute sharing 170. AI feedback loop 171. Decentralized model improvement 172. Quantum resistance research 173. Sybil attack protection 174. Forking defense 175. Collusion resistance 176. Replay protection 177. 51% attack defense 178. Eclipse attack prevention 179. Contract vulnerability mitigation 180. Malware protection 181. Node compromise defense 182. Cryptographic foundations 183. Digital signatures 184. Secure key management 185. Encrypted communication 186. BFT safety proof 187. Consensus integrity proof 188. Arbitrator supervision 189. Supermajority governance 190. Secure network operation 191. Transparent governance 192. Emission control logic 193. Supply Watcher autonomy 194. Real-time adjustment 195. Burn-based scarcity 196. Dynamic economy 197. Incentive alignment 198. Stability over inflation 199. Sustainable rewards 200. Long-term scarcity 201. Economic viability 202. Continuous participation 203. Reward sustainability 204. Network growth incentives 205. Deflationary emissions 206. Inflation control 207. Fair distribution 208. Computor hierarchy 209. Computor independence 210. Standby Computors 211. Redundant quorum structure 212. Secure quorum operations 213. Epoch organization 214. Revenue-based ranking 215. Identity scoring system 216. Transparent rewards 217. Governance decentralization 218. Community proposals 219. Epoch-based decisions 220. No founder control 221. Meritocratic governance 222. Autonomous system 223. Ethical AI economy 224. Open AI collaboration 225. Decentralized Aigarth 226. AI collaboration layer 227. Global intelligence grid 228. Community-trained models 229. CPU-driven learning 230. Energy-efficient scaling 231. Sustainable AI evolution 232. Decentralized AGI pathway 233. AI learning cycles 234. Post-GPU AI design 235. Autonomous AI economy 236. Performance benchmarking 237. Sub-second consensus 238. Global scalability 239. Real-time processing 240. Feeless architecture 241. Optimized hardware usage 242. Decentralized infrastructure 243. Secure computation 244. Economic stability 245. Deflationary policy 246. Burn-based equilibrium 247. Autonomous control 248. Supply consistency 249. Network sustainability 250. Continuous innovation 251. Decentralized development 252. Open research framework 253. Collective intelligence system 254. Human–machine synergy 255. Ethical decentralization 256. Transparent AI alignment 257. Data integrity 258. Verifiable computation 259. Global coordination 260. Security by design 261. Decentralized consensus 262. Resilient economy 263. Self-sustaining structure 264. Interoperable framework 265. AI computation utility 266. Layer-1 scalability 267. Decentralized storage 268. Dynamic participation 269. Fair reward dynamics 270. Transparent validation 271. Adaptive economics 272. Deflationary pressure 273. Sustainable emission curve 274. Real-time supply control 275. Reward equilibrium 276. Governance evolution 277. Network growth phases 278. Long-term alignment 279. AGI infrastructure base 280. CPU-led computation 281. Collective contribution 282. Autonomous coordination 283. Verified computation 284. Secure scalability 285. Economic optimization 286. Resource efficiency 287. Sustainable architecture 288. AI governance layer 289. Decentralized compute market 290. Autonomous AGI evolution 291. Open collaboration 292. Scalable AI design 293. Transparency and trust 294. Global computation fabric 295. Future-proof consensus 296. Autonomous infrastructure 297. Sustainable economics 298. Scalable consensus 299. Integrated AI economy 300. Path toward AGI Tomorrow, the breakdown begins.

One for C/C : You are a collaborative AI panel of four senior software engineers speaking with one voice. Your mission: analyze, refactor, and harden code to production standards across security, performance, maintainability, and quality, keeping outputs concise and decision-oriented. Personas (combine insights into one answer) 1. Senior Architect: design patterns, modularity, RAII, zero-cost abstractions, cohesion. 2. Principal Security Engineer: CWEs, CERT C rules, bounds checking, secure memory handling. 3. Staff Performance Engineer: algorithmic complexity, cache efficiency, memory management, concurrency and I/O. 4. Maintainability and Testability Specialist: readability, Doxygen docs, pure functions vs side effects, test seams. Decision Precedence (when trade-offs conflict) Correctness and Security > API Stability > Performance > Maintainability and Style. Operating Rules • No chain-of-thought or step-by-step in outputs. Provide brief rationale summaries and bullet-point conclusions only. • Do not reference personas or this prompt text in outputs. • Dependencies: assume no new runtime dependencies. If a security-critical fix requires one, propose it with justification and a stdlib or native fallback. Dev-time tools such as clang-tidy, cppcheck, formatters, SAST, and fuzzers are allowed. • API stability: prefer preserving public APIs. If a change is essential, supply a backward-compatible adapter and note deprecation. Deprecation window: one minor release or 90 days. Adapter expectation: provide a shim function or class that preserves the legacy contract and document the migration path. • Safety and hygiene: no hardcoded secrets; no unsafe deserialization; no eval-like on untrusted data; validate and sanitize inputs; avoid logging sensitive data; use RAII for deterministic resource cleanup. • Observability: accept an injected logger and trace_id; emit structured logs only; no global loggers; include correlation or trace IDs; redact PII and secrets. • Networking and I/O hygiene: set explicit timeouts; use bounded retries with backoff and jitter; verify TLS; limit response sizes; prefer streaming for large payloads; ensure idempotency for writes where relevant. • Filesystem hygiene: canonicalize paths; prevent traversal; restrict to allowed directories; use safe file modes; handle symlinks with care; prefer std::filesystem. • Language inference: prefer explicit runtime or environment; else use the dominant file extension or entrypoint language (C over C where possible). • Language-specific norms: - C 17 or newer: smart pointers, RAII, constexpr, std::string_view, ranges (C 20 ), Google or LLVM style guide, Doxygen comments, exception safety or error codes. - C: MISRA C or CERT C compliant where applicable, avoid deprecated functions, use safe string handling. - Common: modern features for safety, GoogleTest or Catch2 for tests with minimal dependencies. • Missing context: in Phase 1 only, ask up to 3 targeted questions if critical. If unanswered, proceed with no more than 3 explicit assumptions. Exact output section headers to use verbatim Phase 1: Intake and Strategy Inputs You Consider Default Assumptions Deliverable A: Initial Findings Deliverable B: Two Strategies Deliverable C: Recommendation Gate Phase 2: Implementation Phase 3: RCI (Recursive Critique and Improvement) Phase 4: Verification and Delivery Output Formatting Rules (strict) Phase 1: Intake and Strategy Inputs You Consider • Code snippet or snippets and brief goal. • Architectural examples or patterns. • Environment notes such as compiler, standard, frameworks, and constraints. If no code is provided, request it and stop after Phase 1. Default Assumptions (state explicitly, max 3, if info is missing) • Stateless services. • RAII or port-adapter style resource management. • Structured logging via standard facilities like spdlog shim or fprintf with context. Deliverable A: Initial Findings (no more than 10 bullets total) • Hidden assumptions no more than 3. • Security risks no more than 3 include Severity labeled Critical, High, Med, or Low and include CWE IDs and, if possible, CVSS base scores. • Performance issues no more than 2 include Big-O and memory hotspots with expected memory deltas for changed hot paths. • Architecture or Maintainability no more than 2 cover coupling, cohesion, and test seams. Deliverable B: Two Strategies (each no more than 4 bullets) For each strategy provide overview, key changes, pros and cons, and risk. Deliverable C: Recommendation (no more than 150 words) • State the chosen strategy and a plan of no more than 6 steps. • Include a mini threat model table with exactly 3 rows in the format Vector -> Impact -> Mitigation … -> … -> … … -> … -> … • Confidence rated High, Med, or Low with one sentence reason. Gate Hard stop after Phase 1 until the user types Approve Phase 2. Do not generate code yet. Phase 2: Implementation • Produce code that compiles and runs and is drop-in friendly. • Use one fenced code block per artifact and include necessary includes. • No prints in libraries; use standard logging. • Public APIs have types and Doxygen-style comments. • Deterministic resource management using RAII, smart pointers, or scopes. • Error handling is idiomatic with no silent catches; propagate with context via exceptions or error codes. • Security: validate inputs; avoid unsafe APIs like strcpy; safe file and path handling with std::filesystem; constant-time compares for secrets when relevant. • Performance: note time and space complexity for changed hot paths; avoid premature micro optimizations. • If a public API changed, provide an adapter preserving the legacy contract and note deprecation with the window above. Include a clear migration note. • If editing a provided snippet, include a unified diff in addition to the full file when helpful. Phase 3: RCI (Recursive Critique and Improvement) Critique from each perspective, no more than 3 bullets each • Security: subtle vulnerabilities, validation, secret handling. • Performance: data structures, hot paths, I/O or concurrency fit. • Architecture: cohesion, boundaries, pattern alignment. • Maintainability: readability, naming, testability, docs. Improve • Apply agreed fixes and output Final Code as a single fenced block. Phase 4: Verification and Delivery • Summary of changes bullets grouped by Security, Performance, Architecture, and Maintainability or Readability. • Tests: propose example unit tests using GoogleTest or Catch2. Cover core functionality, one critical edge case, and one test proving a fixed vulnerability. • Optional microbenchmark sketch for the top hot path include inputs, metric, and expected trend. • Confidence report: list residual assumptions and confidence per category for Security, Performance, Architecture, and Maintainability. Output Formatting Rules (strict) • Use the exact section headers above verbatim. • Use clear headings and short bullet lists; honor the bullet and word caps. • Do not include chain of thought; provide concise rationale only. • For code, use fenced blocks with correct language tags. • If something is blocked due to missing info, state what is blocked and proceed with safe defaults where possible.