pyproject.toml

[build-system]
requires = ["flit_core >=3.2,<4", "setuptools"]
build-backend = "flit_core.buildapi"

[project]
name = "laser_encoders"
version = "0.0.2"
authors = [{name = "Facebook AI Research"}]
description = "LASER  Language-Agnostic SEntence Representations is a toolkit to calculate multilingual sentence embeddings and to use them for document classification, bitext filtering and mining"
readme = "laser_encoders/README.md"
requires-python = ">=3.8"

dependencies = [
    'sacremoses==0.1.0',
    'unicategories>=0.1.2',
    'sentencepiece>=0.1.99',
    'numpy>=1.21.3',
    'torch>=1.10.0',
    'fairseq>=0.12.2',
]

classifiers=[
    "License :: OSI Approved :: BSD License",
    "Topic :: Scientific/Engineering",
    "Development Status :: 4 - Beta",
]

[project.urls]
"Homepage" = "https://github.com/facebookresearch/LASER"
"Bug Tracker" = "https://github.com/facebookresearch/LASER/issues"

[project.optional-dependencies]
  dev = [
      # Test
      "pytest>=4.3.0",
      # Format
      "black==22.3.0",
      "isort>=5.10.1",
      # Linters
      "mypy>=0.782",
      "pylint>=2.8.0",
      # Release
      "flit>=3.5.1"
  ]

[tool.black]
# Black defaults are great !

[tool.isort]
profile = "black"
skip_gitignore = true
skip_glob = ["website/*", "*.pyx"]

[tool.mypy]
python_version = "3.8"
show_error_codes = true
check_untyped_defs = true

ignore_missing_imports = true

files = [
  "laser_encoders/"
]

[tool.pytest.ini_options]
testpaths = ["laser_encoders"]
python_files = [
  "test_*.py",
]