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7 changes: 6 additions & 1 deletion README.md
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>A unified API that consolidates different Signal Temporal Logic (STL) semantics under a single interface with native support for NumPy, JAX and PyTorch.

<p align="center">
<img src="docs/PySTL.png" alt="PySTL" width="720">
</p>


<p align="center">
<a href="https://github.com/ericpalto/PySTL/actions/workflows/tests.yml">
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<img src="https://img.shields.io/badge/PyTorch-supported-ee4c2c?logo=pytorch&logoColor=white" alt="PyTorch">
</a>
</p>
🚀 **TL;DR**

### 🚀 TLDR

Unified, backend-agnostic STL robustness semantics in one API. Switch semantics. Switch backend. Keep the same specification:

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4 changes: 4 additions & 0 deletions docs/index.md
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# PySTL

<p align="center">
<img src="./PySTL.png" alt="PySTL" width="720">
</p>

A unified API for **Signal Temporal Logic (STL) robustness evaluation** across multiple semantics and computational backends.

PySTL consolidates five STL quantitative semantics — Classical, Smooth, Cumulative, AGM, and D-GMSR — under one consistent interface. Switch semantics or backends without rewriting your formulas.
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