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pyproject.toml
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pyproject.toml
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[tool.poetry]
name = "docling-ibm-models"
version = "3.1.0" # DO NOT EDIT, updated automatically
description = "This package contains the AI models used by the Docling PDF conversion package"
authors = ["Nikos Livathinos <nli@zurich.ibm.com>", "Maxim Lysak <mly@zurich.ibm.com>", "Ahmed Nassar <ahn@zurich.ibm.com>", "Christoph Auer <cau@zurich.ibm.com>", "Michele Dolfi <dol@zurich.ibm.com>", "Peter Staar <taa@zurich.ibm.com>"]
license = "MIT"
readme = "README.md"
keywords= ["docling", "convert", "document", "pdf", "layout model", "segmentation", "table structure", "table former"]
classifiers = [
"License :: OSI Approved :: MIT License",
"Operating System :: MacOS :: MacOS X",
"Operating System :: POSIX :: Linux",
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Programming Language :: Python :: 3"
]
packages = [
{ include = "docling_ibm_models" },
]
[tool.poetry.dependencies]
python = "^3.9"
torch = "^2.2.2"
torchvision = "^0"
transformers = "^4.42.0"
numpy = ">=1.24.4,<3.0.0"
jsonlines = "^3.1.0"
Pillow = "^10.0.0"
tqdm = "^4.64.0"
opencv-python-headless = "^4.6.0.66"
huggingface_hub = ">=0.23,<1"
safetensors = {version=">=0.4.3,<1", extras=["torch"]}
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "^24.4.2"}
pytest = "^7.2.2"
pre-commit = "^3.7.1"
mypy = "^1.10.1"
isort = "^5.10.1"
python-semantic-release = "^7.32.2"
flake8 = "^6.0.0"
pyproject-flake8 = "^6.0.0"
pytest-xdist = "^3.3.1"
pytest-flake8 = "^1.1.0"
types-requests = "^2.31.0.2"
flake8-pyproject = "^1.2.3"
pylint = "^2.17.5"
ipykernel = "^6.29.5"
[tool.poetry.group.mac_intel]
optional = true
[tool.poetry.group.mac_intel.dependencies]
torch = [
{markers = "sys_platform != 'darwin' or platform_machine != 'x86_64'", version = "^2.2.2"},
{markers = "sys_platform == 'darwin' and platform_machine == 'x86_64'", version = "~2.2.2"}
]
torchvision = [
{markers = "sys_platform != 'darwin' or platform_machine != 'x86_64'", version = "^0"},
{markers = "sys_platform == 'darwin' and platform_machine == 'x86_64'", version = "~0.17.2"}
]
[tool.poetry.group.constraints]
optional = true
[tool.poetry.group.constraints.dependencies]
numpy = [
{ version = ">=1.24.4,<3.0.0", markers = 'python_version >= "3.10"' },
{ version = ">=1.24.4,<2.1.0", markers = 'python_version < "3.10"' },
]
[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"
[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