docling-ibm-models/pyproject.toml at main · Khogao/docling-ibm-models · GitHub

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[project]
name = "docling-ibm-models"
version = "3.9.1" # DO NOT EDIT, updated automatically
description = "This package contains the AI models used by the Docling PDF conversion package"
license = "MIT"
keywords = ["docling", "convert", "document", "pdf", "layout model", "segmentation", "table structure", "table former"]
readme = "README.md"
authors = [
  { name = "Nikos Livathinos", email = "nli@zurich.ibm.com" },
  { name = "Maxim Lysak", email = "mly@zurich.ibm.com" },
  { name = "Ahmed Nassar", email = "ahn@zurich.ibm.com" },
  { name = "Christoph Auer", email = "cau@zurich.ibm.com" },
  { name = "Michele Dolfi", email = "dol@zurich.ibm.com" },
  { name = "Peter Staar", email = "taa@zurich.ibm.com" },
]
classifiers = [
  "Operating System :: MacOS :: MacOS X",
  "Operating System :: POSIX :: Linux",
  "Operating System :: Microsoft :: Windows",
  "Development Status :: 5 - Production/Stable",
  "Intended Audience :: Developers",
  "Intended Audience :: Science/Research",
  "Topic :: Scientific/Engineering :: Artificial Intelligence",
  "Programming Language :: Python :: 3",
  "Programming Language :: Python :: 3.9",
  "Programming Language :: Python :: 3.10",
  "Programming Language :: Python :: 3.11",
  "Programming Language :: Python :: 3.12",
  "Programming Language :: Python :: 3.13",
]
requires-python = '>=3.9,<4.0'
dependencies = [
  'torch (>=2.2.2,<3.0.0)',
  'torchvision (>=0,<1)',
  'jsonlines (>=3.1.0,<4.0.0)',
  'Pillow (>=10.0.0,<12.0.0)',
  'tqdm (>=4.64.0,<5.0.0)',
  'opencv-python-headless (>=4.6.0.66,<5.0.0.0)',
  'huggingface_hub (>=0.23,<1)',
  'safetensors[torch] (>=0.4.3,<1)',
  'pydantic (>=2.0.0,<3.0.0)',
  'docling-core (>=2.19.0,<3.0.0)',
  'transformers (>=4.42.0,<5.0.0)',
  'numpy (>=1.24.4,<3.0.0)',
  "rtree>=1.0.0",
  'accelerate (>=1.2.1,<2.0.0)',
]

[project.urls]
homepage = "https://github.com/docling-project/docling-ibm-models"
repository = "https://github.com/docling-project/docling-ibm-models"
issues = "https://github.com/docling-project/docling-ibm-models/issues"
changelog = "https://github.com/docling-project/docling-ibm-models/blob/main/CHANGELOG.md"

[dependency-groups]
dev = [
    "pre-commit~=3.7",
    "mypy~=1.10",
    "black~=24.4",
    "isort~=5.10",
    "autoflake~=2.0",
    "flake8~=7.1",
    "flake8-docstrings~=1.6",
    "types-setuptools~=70.3",
    "pandas-stubs~=2.1",
    "types-requests~=2.31",
    "coverage~=7.6",
    "pytest~=8.3",
    "pytest-cov>=6.1.1",
    "pytest-dependency~=0.6",
    "pytest-xdist~=3.3",
    "python-semantic-release~=7.32",
    "datasets~=3.2",
]

[tool.uv]
package = true

[tool.setuptools.packages.find]
include = ["docling_ibm_models*"]

[tool.black]
line-length = 88
target-version = ["py39"]
include = '\.pyi?$'

[tool.isort]
profile = "black"
line_length = 88
py_version = 39

[tool.semantic_release]
# for default values check:
# https://github.com/python-semantic-release/python-semantic-release/blob/v7.32.2/semantic_release/defaults.cfg

version_source = "tag_only"
branch = "main"

# configure types which should trigger minor and patch version bumps respectively
# (note that they must be a subset of the configured allowed types):
parser_angular_allowed_types = "build,chore,ci,docs,feat,fix,perf,style,refactor,test"
parser_angular_minor_types = "feat"
parser_angular_patch_types = "fix,perf"


[tool.mypy]
pretty = true
no_implicit_optional = true
python_version = "3.10"

[[tool.mypy.overrides]]
module = ["torchvision.*", "transformers.*"]
ignore_missing_imports = true