CITATION.cff

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title: 'Egglog Python: A Pythonic Library for E-graphs'
message: >-
  If you use this software, please cite it using the
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type: software
authors:
  - given-names: Saul
    family-names: Shanabrook
    email: s.shanabrook@gmail.com
    orcid: 'https://orcid.org/0000-0002-0258-4236'
identifiers:
  - type: other
    value: 'arXiv:2305.04311'
repository-code: 'https://github.com/egraphs-good/egglog-python'
url: 'https://egglog-python.readthedocs.io/'
abstract: >-
  E-graphs have emerged as a versatile data structure with
  applications in synthesis, optimization, and verification
  through techniques such as equality saturation. This paper
  introduces Python bindings for the experimental egglog
  library (previously called egg-smol), which aims to bring
  the benefits of e-graphs to the Python ecosystem. The
  bindings offer a high-level, Pythonic API providing an
  accessible and familiar interface for Python users. By
  integrating e-graph techniques with Python, we hope to
  enable collaboration and innovation across various domains
  in the scientific computing and machine learning
  communities. We discuss the advantages of using Python
  bindings for both Python and existing egg-smol users, as
  well as possible future directions for development.
license: MIT