mirror of
https://github.com/openRuyi-Project/openRuyi.git
synced 2026-05-13 18:33:44 +00:00
66 lines
2.3 KiB
RPMSpec
66 lines
2.3 KiB
RPMSpec
# SPDX-FileCopyrightText: (C) 2026 Institute of Software, Chinese Academy of Sciences (ISCAS)
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# SPDX-FileCopyrightText: (C) 2026 openRuyi Project Contributors
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# SPDX-FileContributor: purofle <yuguo.or@isrc.iscas.ac.cn>
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#
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# SPDX-License-Identifier: MulanPSL-2.0
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%global srcname thinc
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Name: python-%{srcname}
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Version: 8.3.10
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Release: %autorelease
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Summary: A refreshing functional take on deep learning, compatible with your favorite libraries
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License: MIT
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URL: https://github.com/explosion/thinc
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#!RemoteAsset: sha256:5a75109f4ee1c968fc055ce651a17cb44b23b000d9e95f04a4d047ab3cb3e34e
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Source0: https://files.pythonhosted.org/packages/source/t/%{srcname}/%{srcname}-%{version}.tar.gz
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BuildSystem: pyproject
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BuildOption(install): -l %{srcname}
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# Test cases do not need to check imports
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BuildOption(check): -e "thinc.tests.*"
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BuildRequires: pyproject-rpm-macros
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BuildRequires: pkgconfig(python3)
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BuildRequires: python3dist(pip)
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BuildRequires: python3dist(setuptools)
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BuildRequires: python3dist(wheel)
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BuildRequires: python3dist(pytest)
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BuildRequires: python3dist(cymem)
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BuildRequires: python3dist(preshed)
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BuildRequires: python3dist(murmurhash)
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BuildRequires: python3dist(numpy)
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BuildRequires: python3dist(mypy)
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BuildRequires: python3dist(blis)
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BuildRequires: python3dist(hypothesis)
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BuildRequires: python3dist(cython)
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BuildRequires: python3dist(catalogue)
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BuildRequires: python3dist(confection)
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BuildRequires: python3dist(pydantic)
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BuildRequires: python3dist(srsly)
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BuildRequires: python3dist(wasabi)
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Provides: python3-%{srcname}
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%python_provide python3-%{srcname}
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%description
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Thinc is a lightweight deep learning library that offers an elegant,
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type-checked, functional-programming API for composing models, with
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support for layers defined in other frameworks such as PyTorch,
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TensorFlow and MXNet. You can use Thinc as an interface layer,
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a standalone toolkit or a flexible way to develop new models.
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Previous versions of Thinc have been running quietly in production
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in thousands of companies, via both spaCy and Prodigy. We wrote the
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new version to let users compose, configure and deploy custom
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models built with their favorite framework.
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%generate_buildrequires
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%pyproject_buildrequires
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%files -f %{pyproject_files}
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%doc README.md
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%license LICENSE
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%changelog
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%{?autochangelog}
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