%global pypi_name transformers

Name:           python-transformers
# f44 ships tokenizers 0.22.2 and safetensors 0.7.0; 5.13.0 raised the
# safetensors floor to 0.8.0 and 5.16.0 raised the tokenizers floor to 0.23.1,
# so 5.12.1 is the newest release that installs there (tokenizers <=0.23.0,>=0.22.0;
# safetensors >=0.4.3). f45 and rawhide have 0.23.1 / 0.8.0 and take 5.17.0.
%if 0%{?fedora} >= 45
Version:        5.17.0
%else
Version:        5.12.1
%endif
Release:        2%{?dist}
Summary:        State-of-the-art machine learning for PyTorch, TensorFlow and JAX

License:        Apache-2.0
URL:            https://github.com/huggingface/transformers
Source0:        %{pypi_source %{pypi_name}}

BuildArch:      noarch
BuildRequires:  python3-devel
BuildRequires:  pyproject-rpm-macros

%global _description %{expand:
Transformers provides pretrained models for text, vision, audio and multimodal
tasks, together with the tokenizer, configuration and pipeline machinery to
load and run them. It is backend-agnostic: PyTorch, TensorFlow and JAX are all
optional, and none is required to install this package.

Model weights are not included. They are downloaded from the Hugging Face Hub
on first use.}

%description %{_description}

%package -n python3-transformers
Summary:        %{summary}
# Not a dependency, deliberately. transformers is usable without any of them,
# and which one a user wants depends entirely on the model they are running.
# python3-torch is the one f45 actually has.
Recommends:     python3-torch

%description -n python3-transformers %{_description}

%prep
%autosetup -n %{pypi_name}-%{version}

%generate_buildrequires
%pyproject_buildrequires

%build
%pyproject_wheel

%install
%pyproject_install
%pyproject_save_files transformers

%check
# -t restricts this to the TOP-LEVEL module. The package ships 2701 python
# files, and the great majority of its submodules import an optional backend at
# module scope -- torch, tensorflow, jax, flax, a specific tokenizer, or a
# model-specific library. Importing all of them would not test this package; it
# would test which optional backends happen to be installed in the buildroot,
# and would fail on every model whose extra Fedora does not carry.
#
# The compiled parts of this stack are NOT here: they live in the separate
# tokenizers and safetensors projects, both already in f45, so there is no
# extension module in this package whose load needs proving.
%pyproject_check_import -t

%files -n python3-transformers -f %{pyproject_files}
%license LICENSE
%doc README.md
# The console script is declared in pyproject.toml's [project.scripts] but does
# not land in %%{pyproject_files}, so it has to be listed by hand or the build
# fails with "Installed (but unpackaged) file(s) found: /usr/bin/transformers".
%{_bindir}/transformers

%changelog
* Sun Oct 04 2026 Morgan Hough <morgan.hough@gmail.com> - 5.12.1-2
- f44 builds 5.12.1; f45 and rawhide keep 5.17.0. The f44 builds of 5.17.0
  (11074443, 11074445) failed in dependency resolution: "No match for argument:
  python3dist(safetensors) >= 0.8" and "nothing provides ... tokenizers >=
  0.23.1", because f44 has safetensors 0.7.0 and tokenizers 0.22.2. 5.12.1 is the
  newest release inside both pins. Packaging newer Rust-built tokenizers and
  safetensors for f44 would be a wave of its own and was not attempted.
- f45/rawhide are unchanged apart from the release number; they were not rebuilt.

* Tue Sep 29 2026 Morgan Hough <morgan.hough@gmail.com> - 5.17.0-1
- Initial package: transformers 5.17.0, a dependency of
  Project-MONAI/monai-physio.
- Pure Python, noarch: zero .c/.cpp/.cu/.pyx/.rs files in the 9.4 MB sdist, and
  the published wheel is py3-none-any. The compiled parts of the HuggingFace
  stack are in the separate tokenizers and safetensors projects, both already
  packaged for f45.
- requires-python is ">=3.10.0" with no upper bound, so f45's Python 3.15 is in
  range. Its classifiers stop at 3.14, but a classifier is not a cap.
- All nine core runtime dependencies were already in f45: huggingface-hub,
  numpy, packaging, pyyaml, regex, tokenizers, typer, safetensors, tqdm.
- WATCH THE TOKENIZERS PIN. Upstream requires tokenizers >=0.23.1,<0.24.0 and
  f45 ships exactly 0.23.1 -- the floor. A tokenizers bump in Fedora past
  0.24.0 breaks this package, and nothing in our own gates would notice until
  something imported it.
- No backend is required. torch, tensorflow and jax are all optional extras;
  python3-torch is a Recommends only.
- /usr/bin/transformers is listed explicitly in %%files: the entry point is
  declared in pyproject.toml but %%pyproject_save_files does not emit it, and
  the build fails on the unpackaged file without it.
- %%check is -t (top level only) on purpose: most of the 2701 modules import an
  optional backend at module scope, so a full import sweep would test which
  extras are in the buildroot rather than testing this package.