deb_control_files:
- control
- md5sums
- postinst
- prerm
deb_fields:
Architecture: arm64
Depends: black, cython3, python3 (<< 3.12), python3 (>= 3.11~), python3-catalogue,
python3-coverage, python3-cymem, python3-cython-blis, python3-flake8, python3-hypothesis,
python3-ipykernel, python3-mock, python3-murmurhash, python3-mypy | python3 (<<
3.7), python3-nbconvert, python3-nbformat, python3-numpy, python3-packaging, python3-pkg-resources,
python3-preshed, python3-pydantic, python3-pytest, python3-pytest-cov, python3-srsly,
python3-typeshed, python3-wasabi, python3:any, libc6 (>= 2.32), libgcc-s1 (>=
3.0), libstdc++6 (>= 5.2), python3-confection
Description: "Practical Machine Learning for NLP in Python\n Thinc is the machine\
\ learning library powering spaCy <https://spacy.io>.\n It features a battle-tested\
\ linear model designed for large sparse\n learning problems, and a flexible neural\
\ network model under development\n for spaCy v2.0 <https://spacy.io/usage/v2>.\n\
\ .\n Thinc is a practical toolkit for implementing models that follow the\n \"\
Embed, encode, attend, predict\" architecture. It's designed to be easy\n to install,\
\ efficient for CPU usage and optimised for NLP and deep\n learning with text\
\ \u2013 in particular, hierarchically structured input\n and variable-length\
\ sequences."
Homepage: https://thinc.ai/
Installed-Size: '2972'
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Package: python3-thinc
Priority: optional
Section: python
Source: python-thinc
Version: 8.1.7-1
srcpkg_name: python-thinc
srcpkg_version: 8.1.7-1