GNUS.AI
  • 🧠About GNUS.AI
    • GNUS.AI
    • Introduction
    • Features and Benefits
      • Scale and cost-efficiency
      • GNUS.ai Network vs. Centralized xAI 100k Cluster
        • 1. Executive Summary
        • 2. Introduction
        • 3. Understanding the GNUS.ai Decentralized Network
        • 4. The Centralized xAI 100k Cluster Explained
        • 5. Comparing CAPEX and OPEX
        • 6. Payout Structure and Profitability
        • 7. The Deflationary Token Mechanism
        • 8. Projected Token Price Appreciation
        • 9. Summary Comparison Tables
        • 10. Conclusion and Next Steps
        • Final Thoughts
      • Tokenomics
    • Public Roadmap
    • Whitepaper
    • Meet the Team
    • Why GNUS.AI
      • Works Everywhere
      • Customizable
      • Fast
      • Secure
        • Secure 2FA with TOTP and zk-SNARKs
    • How Does It Work?
      • Idle Central Processing (GPU)
      • Distributed Computation
      • Dynamically Adjusted Resource Allocation
  • 🖥️Technical Information
    • Super Genius Blockchain Technical Details
      • SuperGenius DB Layout
      • AI Data Blocks
      • Slicing Data for Macro MicroJobs
      • Verification and Hash Results from Processing
      • Diagram of the internal blockchain, blocks and processing functionality
      • IPFS Pub Sub
      • SG Consensus Algorithm Implementation
      • Account creation with ECSDA and El Gamal
      • Key Derivation Function
      • El Gamal encryption
      • Prover specification
      • C++ Coding Standards
      • SuperGenius processing component information
        • Processing worker app workflow
        • Job Processing Flow
      • Super Genius DAG Blockchain
      • Minimal MMR Proof System with UTXOs
      • Cross-chain Bridging through SuperGenius
        • Overview of Technical Details for Cross-Chain Bridging Flow
        • Message Creation and Leader Election
        • Leader Ownership and Verification Channel Creation
        • Node Verification and Voting
        • Signature Collection and Aggregation
        • Destination Chain Submission and Validation
    • Hybrid Smart Contract
      • GNUS.ai Ecosystem: A Unified Network of Intelligence
      • Structure
        • Structure Details
      • Encoded IDs
    • Our Smart Contract Testing Philosophy
    • AI Systems
      • Overview
      • Query Workflow
      • Data Storage
      • Pub/Sub Communication
      • Retraining Mechanism
    • Zero Knowledge Proofs
      • Proof schemes and Elliptical Curves
  • Resources
    • Contact Us
    • Contracts
    • FAQS
    • Multisig Wallets
    • Glossary
    • Official Links
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  1. Technical Information

Our Smart Contract Testing Philosophy

PreviousEncoded IDsNextAI Systems

Last updated 7 months ago

Our Smart Contract Testing Philosophy

At Genius Ventures, we don't stop at just unit testing. While many engineers focus solely on unit testing their smart contracts, we take a more comprehensive approach by combining both Unit and Functional Testing to ensure our smart contracts work in real-world applications.

Why TypeScript for Testing?

We use TypeScript for our smart contract tests. Here's why:

  • Comprehensive Testing: With TypeScript, we can perform both unit tests (validating the internal logic of the contract) and functional tests (simulating real-world scenarios).

  • Real-World Interactions: TypeScript allows us to interact with actual wallets like Metamask, run transactions, and test user flows.


Traditional Frameworks: What's Missing?

Traditional Solidity testing frameworks like Truffle, Brownie, and Forge Foundry are excellent for fast unit testing but often miss the mark when it comes to full functional testing.

  • Unit Testing: These frameworks are great for creating mocks or stubs for unit tests.

  • Functional Testing: They usually lack built-in support for real-world integrations, requiring external tools for wallet interactions, private keys, and more.


Benefits of Functional Testing

By using TypeScript and frameworks like Hardhat and ethers.js, we can:

  • Simulate real-world usage scenarios.

  • Ensure full contract functionality beyond isolated unit tests.

  • Test wallet interactions and transaction flows.


Wallet Integration and Real-World Usage

Using private keys directly in our tests allows us to simulate actual user actions, from signing transactions to transferring tokens. This is something that unit testing frameworks like Truffle or Foundry don't handle natively, making our testing process more aligned with real-world operations.


Conclusion: TypeScript Testing Done Right

Our philosophy is simple: real-world scenarios need real-world testing. While traditional testing frameworks like Forge Foundry, Truffle, and Brownie are excellent for unit tests, they don't provide the comprehensive coverage we need for full integration. That's why we chose TypeScript to ensure our smart contracts not only work in isolation but also in the live environments where they’ll be used.

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