[build-system]

requires = [

"setuptools>=61.0",

"wheel",

"cython",

]

build-backend = "setuptools.build_meta"

[project]

name = "fairseq"

dynamic = ["version"]

description = "Facebook AI Research Sequence-to-Sequence Toolkit"

readme = "README.md"

requires-python = ">=3.8"

license = {text = "MIT"}

authors = [

{name = "Facebook AI Research"}

]

classifiers = [

"Intended Audience :: Science/Research",

"License :: OSI Approved :: MIT License",

"Programming Language :: Python :: 3.8",

"Programming Language :: Python :: 3.9",

"Programming Language :: Python :: 3.10",

"Topic :: Scientific/Engineering :: Artificial Intelligence",

]

dependencies = [

"cffi",

"hydra-core>=1.3.2",

"omegaconf>=2.1.0",

"numpy>=1.24.2",

"regex",

"sacrebleu>=1.4.12",

"torch>=2.4.0",

"tqdm",

"bitarray",

"torchaudio>=2.4.0",

"torchvision>=0.19.0",

"scikit-learn",

"packaging",

"scipy>=1.15.0",

"pandas>=2.2.0",

"transformers>=4.51.3",

"numpy>=1.24.2",

]

[project.optional-dependencies]

dev = ["flake8", "pytest", "black==22.3.0"]

docs = ["sphinx", "sphinx-argparse"]

[project.urls]

"Homepage" = "https://github.com/pytorch/fairseq"

"Bug Tracker" = "https://github.com/pytorch/fairseq/issues"

[tool.black]

extend-exclude = '''

(

^/examples/|

^/fairseq/model_parallel/megatron|

^/build/

)

'''

[tool.isort]

profile = "black"

known_third_party = "_cffi_backend,agg_results,aml,bitarray,boto3,botocore,dump_hubert_feature,dynamicconv_cuda,editdistance,faiss,fasttext,feature_utils,ffmpeg,g2p_en,h5py,hydra,hypothesis,indicnlp,inflect,iopath,joblib,kaldi_io,kenlm,libfb,librosa,lightconv_cuda,matplotlib,misc,mmpt,mmpt_cli,model,nltk,npy_append_array,numpy,omegaconf,pandas,pathbuilder,preprocessing,progressbar,pythainlp,random_sequence_shuffler,regex,sacrebleu,sacremoses,scipy,sentencepiece,setuptools,six,sklearn,soundfile,sweep,sweep_wmt_en2de_transformer_big_common,tabulate,torch,torchaudio,tqdm,unidecode,utils,videoreader,wav2vec_cluster_faiss,wget,yaml"

skip_gitignore = true