ConteXtuAlity：一个用于语境性的开源Python包
ConteXtuAlity: an open source Python package for contextuality
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中文总结 AI 辅助
本文介绍开源Python包ConteXtuAlity，用于计算语境性相关量，提供层论框架接口、测量场景与经验模型实现及线性规划计算语境分数和信号分数，并附基准测试，强调灵活性与可扩展性。
中文摘要 AI 辅助
我们介绍一个开源Python包ConteXtuAlity，用于计算与语境性相关的各种量。该包提供了与语境性的层论框架的接口，实现了测量场景和经验模型的表示，以及用于计算语境分数和信号分数的线性规划。在本文中，我们演示了该包的功能并给出了使用示例。我们还提供了基准测试，展示了性能如何随测量场景的大小而扩展。该包既面向经验丰富的理论家，也面向语境性领域的新手，强调灵活性和可扩展性。
英文摘要
We present an open source Python package, ConteXtuAlity, for computing various quantities related to contextuality. This package features an interface to the sheaf-theoretic framework for contextuality, providing an implementation of measurement scenarios and empirical models as well as linear programs to compute the contextual fraction and the signalling fraction. In this work, we demonstrate the package's features and give examples of its use. We also provide benchmarks, demonstrating how performances scale with the size of measurement scenarios. The package is designed for both experienced theorists and newcomers to the field of contextuality alike, with an emphasis on flexibility and extensibility.
发表机构
- Sorbonne Université, CNRS, LIP6（索邦大学，法国国家科学研究中心，LIP6实验室）
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