sol-plex-problems 0.1.6

A high-performance Rust library engineered for solving complex problems within the Sol ecosystem.
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  • Source code size: 173.91 kB This is the summed size of all the files inside the crates.io package for this release.
  • Documentation size: 234.84 kB This is the summed size of all files generated by rustdoc for all configured targets
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  • this release: 2s Average build duration of successful builds.
  • all releases: 2s Average build duration of successful builds in releases after 2024-10-23.
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Sol-Plex-Problems

Repository Status & Quality

Last Commit Issues Pull Requests License Markdownlint

Infrastructure & Security Paradigms

Infrastructure Security Deployment

Project Technology Stack

Python Google Cloud Terraform Redis Firebase/Firestore

📖 Overview

Sol-Plex-Problems bridges the gap between abstract analytical theories, high-performance cloud execution, and advanced cryptographic security. By combining classical heuristic searches with simulated quantum logic (QKD, FHE), this repository serves as a cognitive engine capable of dynamic resource allocation, automated decision-making frameworks, and complex problem-solving.

🛠️ Technology Stack

Based on the cognitive engine and deployment architecture, the project utilizes the following stack:

Core Execution & Cognitive Layer

  • Python (Asyncio) — Drives the asynchronous AsyncSecureCognitiveEngine, managing high-concurrency tasks without blocking the event loop.
  • Google Cloud AI Platform — Leverages Generative AI models for matrix processing and mathematical simulations.
  • AIOHTTP — Facilitates asynchronous API requests for the real-time SolPlexSearch agent.

Infrastructure & Deployment (Terraform-Managed)

  • Terraform (HCL) — Infrastructure-as-Code (IaC) defining the entirety of the cloud environment.
  • Google Cloud Platform (GCP):
    • Compute Engine (Confidential VMs) — Secures hardware-level execution with memory encryption (enable_confidential_compute = true).
    • Firestore in Native Mode — Persistent, long-term memory state storage for problem hashes and execution states.
    • Cloud Memorystore (Redis) — In-memory, high-speed data caching for the cognitive engine.
    • Secret Manager — Securely provisions and stores dynamic zero-trust keys and QKD-sifted keys.

Security & Cryptography

  • Zero-Trust Architecture — Every internal module validates dynamic signatures via HMAC before execution.
  • Simulated QKD (Quantum Key Distribution) — Emulates BB84 protocol key generation and caching for secure inter-module communication.
  • FHE (Fully Homomorphic Encryption) Simulation — Ciphertext processing utilizing SHA-256 lattice-hash transformations.

📂 Repository Structure

  • /.github/ — Continuous Integration and structural workflows.
  • /cognitive/ — The core Python execution modules (math-engine.py, memory-manager.py, search-agent.py) and quantum logic simulations.
  • /deploy/ — Terraform configurations (main.tf, variables.tf) for deploying the GCP architecture.
  • /frameworks/ — Markdown documentation covering Analytical, Decision-Making, Design-Thinking, and Systems frameworks.
  • /workflows/ — Standardized operational sequences (e.g., OODA loops, pre-mortems, system stress tests).

🚀 Getting Started

Prerequisites

  • Python 3.8+
  • Terraform CLI
  • Google Cloud SDK (gcloud)
  • Node.js (for supporting package.json scripts and linting)

Initialization

  1. Clone the repository:
   git clone [https://github.com/credkellar-boop/Sol-Plex-Problems.git](https://github.com/credkellar-boop/Sol-Plex-Problems.git)
   cd Sol-Plex-Problems

[dependencies]
sol-plex-problems = "0.1.5"