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<title>Contributing &amp; Development Guidelines - Q-TensorFormer</title>
<meta name="description" content="Guidelines for contributing to the Q-TensorFormer open-source research project, including test execution and scientific integrity rules.">
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<h1>Contributing &amp; Development Guidelines</h1>
<p class="lead">
We welcome contributions from researchers, ML systems engineers, and open-source developers. To maintain reproducibility, all contributions must satisfy strict verification standards.
</p>
<section>
<h2>1. Non-Negotiable Scientific Principles</h2>
<div class="callout warning">
<ul>
<li><strong>Zero Fabricated Metrics:</strong> Never submit synthetic benchmarks, simulated energy labeled as measured, or unverified hardware speedups.</li>
<li><strong>Strict Checkpoint Loading:</strong> Never introduce <code>strict=False</code> bypasses or silent fallbacks to random weights.</li>
<li><strong>Canonical Project Name:</strong> Maintain the canonical name <strong>Q-TensorFormer</strong>. Do not introduce versioned forks (e.g. v2, v3).</li>
</ul>
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<section>
<h2>2. Development Environment Setup</h2>
<p>Fork the repository, clone locally, and create a clean Python virtual environment:</p>
<pre><code>git clone https://huggingface.co/Premchan369/Q-TensorFormer
cd Q-TensorFormer
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
pip install -r requirements.txt</code></pre>
</section>
<section>
<h2>3. Required Pre-Commit Verification Gate</h2>
<p>Before submitting any Pull Request, you must verify that all automated checks pass locally:</p>
<pre><code># 1. Run full unit test suite (must report 0 failures)
pytest -v
# 2. Run deterministic smoke test
python scripts/smoke_test.py
# 3. Run scientific integrity auditor
python scripts/scientific_integrity_checker.py</code></pre>
</section>
<section>
<h2>4. Code Style &amp; Engineering Standards</h2>
<ul>
<li><strong>Python Version:</strong> Tested on Python 3.10 and 3.11. Avoid deprecated language features.</li>
<li><strong>Docstrings &amp; Comments:</strong> Preserve documentation integrity. Explain non-obvious mathematical rationale.</li>
<li><strong>Tensor Operations:</strong> Ensure numerical stability. Avoid bare divisions and use <code>masked_fill</code> rather than <code>mask * float("-inf")</code>.</li>
</ul>
</section>
<section>
<h2>5. How to Submit a Pull Request</h2>
<ol>
<li>Create a descriptive topic branch (e.g. <code>git checkout -b feat/triton-fused-kernel</code>).</li>
<li>Commit atomic, well-documented changes.</li>
<li>Push to your fork and open a Pull Request against <code>main</code> on the Hugging Face repository.</li>
</ol>
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