DisCoPy: Python中图形语言的层次结构

Alexis Toumi, Richie Yeung, Boldizsár Poór, Giovanni de Felice
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引用次数: 0

摘要

DisCoPy是一个用于计算一元类别的Python工具包。它为字符串图提供了两种灵活的数据结构:第一种是基于层列表的平面类,第二种是基于超图的共张的对称类。函数应用的算法允许将字符串图转换为数字计算的代码,无论是可微分的,概率的还是量子的。本报告概述了该库及其1.0版本中发布的新开发。特别地,我们展示了对一元类别的图形语言层次结构的大片段图相等的实现,以及将字符串图定义为Python函数的新语法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DisCoPy: the Hierarchy of Graphical Languages in Python
DisCoPy is a Python toolkit for computing with monoidal categories. It comes with two flexible data structures for string diagrams: the first one for planar monoidal categories based on lists of layers, the second one for symmetric monoidal categories based on cospans of hypergraphs. Algorithms for functor application then allow to translate string diagrams into code for numerical computation, be it differentiable, probabilistic or quantum. This report gives an overview of the library and the new developments released in its version 1.0. In particular, we showcase the implementation of diagram equality for a large fragment of the hierarchy of graphical languages for monoidal categories, as well as a new syntax for defining string diagrams as Python functions.
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