26 lines
1.6 KiB
Markdown
26 lines
1.6 KiB
Markdown
# OpenPassMarket: Privacy-Preserving Federated Compiler Optimization Marketplace (Python prototype)
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This repository contains a production-ready, Python-based core prototype for the OpenPassMarket MVP described in the concept. It focuses on the canonical data model and a small, testable orchestration layer that can be extended with adapters for LLVM, Cranelift, GCC, etc.
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Key concepts implemented in this prototype:
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- LocalProblem: a defined optimization task over a code region with tunable decisions and constraints.
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- PerformanceSignal: anonymized metrics captured from evaluation (e.g., runtime, energy).
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- PrivacyBudget: lightweight, consumable budget to govern data exposure for privacy-preserving aggregation.
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- AuditLog: provenance trail for contracts, adapters, and signals.
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- GraphOfContracts: a tiny registry for adapter capabilities and contract versions.
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- Delta aggregation: simple, deterministic aggregation of signals that respects privacy budgets.
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How to run tests locally
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- Ensure you have Python 3.8+ installed.
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- Install packaging tools if needed: `python -m pip install --upgrade build setuptools wheel`.
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- Run tests: `bash test.sh`.
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Project structure
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- pyproject.toml: packaging metadata (uses setuptools under PEP 621 style).
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- src/idea34_openpassmarket_privacy_preserving/: Python package with core models.
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- tests/: unit tests for core functionality.
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- AGENTS.md: architecture and contribution guide for future agents.
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- README.md: this file.
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This is an initial seed that emphasizes correctness and testability. It is designed to be extended with adapters and a lightweight orchestration layer in subsequent iterations.
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