refactor: Use uv as dependencies management (#108)

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>
This commit is contained in:
Michele Dolfi
2025-05-28 12:58:25 +02:00
committed by GitHub
parent f438c60fd8
commit 1051a75fc0
14 changed files with 3856 additions and 5562 deletions
-19
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@@ -1,19 +0,0 @@
name: 'Set up Poetry and install'
description: 'Set up a specific version of Poetry and install dependencies using caching.'
inputs:
python-version:
description: "Version range or exact version of Python or PyPy to use, using SemVer's version range syntax."
default: '3.11'
runs:
using: 'composite'
steps:
- name: Install poetry
run: pipx install poetry==1.8.5
shell: bash
- uses: actions/setup-python@v5
with:
python-version: ${{ inputs.python-version }}
cache: 'poetry'
- name: Install dependencies
run: poetry install --all-extras
shell: bash
+18
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@@ -0,0 +1,18 @@
codecov:
# https://docs.codecov.io/docs/comparing-commits
allow_coverage_offsets: true
coverage:
status:
project:
default:
informational: true
target: auto # auto compares coverage to the previous base commit
if_ci_failed: success
flags:
- docling-ibm-models
comment:
layout: "reach, diff, flags, files"
behavior: default
require_changes: false # if true: only post the comment if coverage changes
branches: # branch names that can post comment
- "main"
+4 -3
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@@ -10,11 +10,12 @@ fi
CHGLOG_FILE="${CHGLOG_FILE:-CHANGELOG.md}"
# update package version
poetry version "${TARGET_VERSION}"
uvx --from=toml-cli toml set --toml-path=pyproject.toml project.version "${TARGET_VERSION}"
uv lock --upgrade-package docling-ibm-models
# collect release notes
REL_NOTES=$(mktemp)
poetry run semantic-release changelog --unreleased >> "${REL_NOTES}"
uv run --no-sync semantic-release changelog --unreleased >> "${REL_NOTES}"
# update changelog
TMP_CHGLOG=$(mktemp)
@@ -30,7 +31,7 @@ mv "${TMP_CHGLOG}" "${CHGLOG_FILE}"
# push changes
git config --global user.name 'github-actions[bot]'
git config --global user.email 'github-actions[bot]@users.noreply.github.com'
git add pyproject.toml "${CHGLOG_FILE}"
git add pyproject.toml uv.lock "${CHGLOG_FILE}"
COMMIT_MSG="chore: bump version to ${TARGET_VERSION} [skip ci]"
git commit -m "${COMMIT_MSG}"
git push origin main
+18 -10
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@@ -3,13 +3,11 @@ name: "Run CD"
on:
workflow_dispatch:
env:
# disable keyring (https://github.com/actions/runner-images/issues/6185):
PYTHON_KEYRING_BACKEND: keyring.backends.null.Keyring
jobs:
code-checks:
uses: ./.github/workflows/checks.yml
with:
push_coverage: false
pre-release-check:
runs-on: ubuntu-latest
outputs:
@@ -18,15 +16,20 @@ jobs:
- uses: actions/checkout@v4
with:
fetch-depth: 0 # for fetching tags, required for semantic-release
- uses: ./.github/actions/setup-poetry
- name: Install uv and set the python version
uses: astral-sh/setup-uv@v5
with:
enable-cache: true
- name: Install dependencies
run: uv sync --only-dev
- name: Check version of potential release
id: version_check
run: |
TRGT_VERSION=$(poetry run semantic-release print-version)
echo "TRGT_VERSION=${TRGT_VERSION}" >> $GITHUB_OUTPUT
echo "${TRGT_VERSION}"
TRGT_VERSION=$(uv run --no-sync semantic-release print-version)
echo "TRGT_VERSION=${TRGT_VERSION}" >> "$GITHUB_OUTPUT"
echo "${TRGT_VERSION}"
- name: Check notes of potential release
run: poetry run semantic-release changelog --unreleased
run: uv run --no-sync semantic-release changelog --unreleased
release:
needs: [code-checks, pre-release-check]
if: needs.pre-release-check.outputs.TARGET_TAG_V != ''
@@ -43,7 +46,12 @@ jobs:
with:
token: ${{ steps.app-token.outputs.token }}
fetch-depth: 0 # for fetching tags, required for semantic-release
- uses: ./.github/actions/setup-poetry
- name: Install uv and set the python version
uses: astral-sh/setup-uv@v5
with:
enable-cache: true
- name: Install dependencies
run: uv sync --only-dev
- name: Run release script
env:
GH_TOKEN: ${{ steps.app-token.outputs.token }}
+83 -7
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@@ -1,5 +1,17 @@
on:
workflow_call:
inputs:
push_coverage:
type: boolean
description: "If true, the coverage results are pushed to codecov.io."
default: true
secrets:
CODECOV_TOKEN:
required: false
env:
HF_HUB_DOWNLOAD_TIMEOUT: "60"
HF_HUB_ETAG_TIMEOUT: "60"
jobs:
run-checks:
@@ -9,12 +21,76 @@ jobs:
python-version: ['3.9', '3.10', '3.11', '3.12', '3.13']
steps:
- uses: actions/checkout@v4
- uses: ./.github/actions/setup-poetry
- name: Cache Hugging Face models
uses: actions/cache@v4
with:
path: ~/.cache/huggingface
key: huggingface-cache-py${{ matrix.python-version }}
- name: Install uv and set the python version
uses: astral-sh/setup-uv@v5
with:
python-version: ${{ matrix.python-version }}
- name: Run styling check
run: poetry run pre-commit run --all-files
- name: Install with poetry
run: poetry install --all-extras
- name: Testing
run: poetry run pytest -v tests
enable-cache: true
- name: pre-commit cache key
run: echo "PY=$(python -VV | sha256sum | cut -d' ' -f1)" >> "$GITHUB_ENV"
- uses: actions/cache@v4
with:
path: ~/.cache/pre-commit
key: pre-commit|${{ env.PY }}|${{ hashFiles('.pre-commit-config.yaml') }}
- name: Install dependencies
run: uv sync --frozen --all-extras
- name: Check style and run tests
run: pre-commit run --all-files
- name: Upload coverage to Codecov
if: inputs.push_coverage
uses: codecov/codecov-action@v5
with:
token: ${{ secrets.CODECOV_TOKEN }}
files: ./coverage.xml
build-package:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ['3.12']
steps:
- uses: actions/checkout@v4
- name: Install uv and set the python version
uses: astral-sh/setup-uv@v5
with:
python-version: ${{ matrix.python-version }}
enable-cache: true
- name: Install dependencies
run: uv sync --all-extras
- name: Build package
run: uv build
- name: Check content of wheel
run: unzip -l dist/*.whl
- name: Store the distribution packages
uses: actions/upload-artifact@v4
with:
name: python-package-distributions
path: dist/
test-package:
needs:
- build-package
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ['3.12']
steps:
- name: Download all the dists
uses: actions/download-artifact@v4
with:
name: python-package-distributions
path: dist/
- name: Install uv and set the python version
uses: astral-sh/setup-uv@v5
with:
python-version: ${{ matrix.python-version }}
enable-cache: true
- name: Install package
run: uv pip install dist/*.whl
- name: Test a simple import
run: python -c 'from docling_ibm_models.layoutmodel.layout_predictor import LayoutPredictor'
+5 -7
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@@ -2,18 +2,16 @@ name: "Run CI"
on:
pull_request:
types: [opened, reopened, synchronize, ready_for_review]
types: [opened, reopened, synchronize]
push:
branches:
- "**"
- "!main"
- "!gh-pages"
env:
# disable keyring (https://github.com/actions/runner-images/issues/6185):
PYTHON_KEYRING_BACKEND: keyring.backends.null.Keyring
jobs:
code-checks:
if: ${{ github.event_name == 'push' || (github.event.pull_request.head.repo.full_name != 'DS4SD/docling-ibm-models' && github.event.pull_request.head.repo.full_name != 'ds4sd/docling-ibm-models') }}
if: ${{ github.event_name == 'push' || (github.event.pull_request.head.repo.full_name != 'docling-project/docling-ibm-models' && github.event.pull_request.head.repo.full_name != 'docling-project/docling-ibm-models') }}
uses: ./.github/workflows/checks.yml
secrets:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
+21 -7
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@@ -7,15 +7,29 @@ on:
permissions:
contents: read
env:
# disable keyring (https://github.com/actions/runner-images/issues/6185):
PYTHON_KEYRING_BACKEND: keyring.backends.null.Keyring
jobs:
build-and-publish:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ['3.12']
environment:
name: pypi
url: https://pypi.org/p/docling-ibm-models
permissions:
id-token: write # IMPORTANT: mandatory for trusted publishing
steps:
- uses: actions/checkout@v4
- uses: ./.github/actions/setup-poetry
- name: Build and publish
run: poetry publish --build --no-interaction --username=__token__ --password=${{ secrets.PYPI_TOKEN }}
- name: Install uv and set the python version
uses: astral-sh/setup-uv@v5
with:
python-version: ${{ matrix.python-version }}
enable-cache: true
- name: Install dependencies
run: uv sync --all-extras
- name: Build package
run: uv build
- name: Publish distribution 📦 to PyPI
uses: pypa/gh-action-pypi-publish@release/v1
with:
attestations: true
+8 -9
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@@ -4,24 +4,23 @@ repos:
hooks:
- id: black
name: Black
entry: poetry run black docling_ibm_models
entry: uv run --no-sync black docling_ibm_models
pass_filenames: false
language: system
files: '\.py$'
- id: isort
name: isort
entry: poetry run isort docling_ibm_models
entry: uv run --no-sync isort docling_ibm_models
pass_filenames: false
language: system
files: '\.py$'
- id: poetry
name: Poetry check
entry: poetry lock --check
pass_filenames: false
language: system
- id: system
name: MyPy
entry: poetry run mypy docling_ibm_models
entry: uv run --no-sync mypy docling_ibm_models
pass_filenames: false
language: system
files: '\.py$'
files: '\.py$'
- repo: https://github.com/astral-sh/uv-pre-commit
rev: 0.7.8
hooks:
- id: uv-lock
+28 -124
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@@ -2,162 +2,66 @@
Our project welcomes external contributions. If you have an itch, please feel
free to scratch it.
To contribute code or documentation, please submit a [pull request](https://github.com/DS4SD/docling/pulls).
A good way to familiarize yourself with the codebase and contribution process is
to look for and tackle low-hanging fruit in the [issue tracker](https://github.com/DS4SD/docling/issues).
Before embarking on a more ambitious contribution, please quickly [get in touch](#communication) with us.
For general questions or support requests, please refer to the [discussion section](https://github.com/DS4SD/docling/discussions).
**Note: We appreciate your effort, and want to avoid a situation where a contribution
requires extensive rework (by you or by us), sits in backlog for a long time, or
cannot be accepted at all!**
### Proposing new features
If you would like to implement a new feature, please [raise an issue](https://github.com/DS4SD/docling/issues)
before sending a pull request so the feature can be discussed. This is to avoid
you wasting your valuable time working on a feature that the project developers
are not interested in accepting into the code base.
### Fixing bugs
If you would like to fix a bug, please [raise an issue](https://github.com/DS4SD/docling/issues) before sending a
pull request so it can be tracked.
### Merge approval
The project maintainers use LGTM (Looks Good To Me) in comments on the code
review to indicate acceptance. A change requires LGTMs from two of the
maintainers of each component affected.
For a list of the maintainers, see the [MAINTAINERS.md](MAINTAINERS.md) page.
## Legal
Each source file must include a license header for the MIT
Software. Using the SPDX format is the simplest approach.
e.g.
```
/*
Copyright IBM Inc. All rights reserved.
SPDX-License-Identifier: MIT
*/
```
We have tried to make it as easy as possible to make contributions. This
applies to how we handle the legal aspects of contribution. We use the
same approach - the [Developer's Certificate of Origin 1.1 (DCO)](https://github.com/hyperledger/fabric/blob/master/docs/source/DCO1.1.txt) - that the Linux® Kernel [community](https://elinux.org/Developer_Certificate_Of_Origin)
uses to manage code contributions.
We simply ask that when submitting a patch for review, the developer
must include a sign-off statement in the commit message.
Here is an example Signed-off-by line, which indicates that the
submitter accepts the DCO:
```
Signed-off-by: John Doe <john.doe@example.com>
```
You can include this automatically when you commit a change to your
local git repository using the following command:
```
git commit -s
```
## Communication
Please feel free to connect with us using the [discussion section](https://github.com/DS4SD/docling/discussions).
For more details on the contributing guidelines head to the Docling Project [community repository](https://github.com/docling-project/community).
## Developing
### Usage of Poetry
### Usage of uv
We use Poetry to manage dependencies.
We use [uv](https://docs.astral.sh/uv/) as package and project manager.
#### Installation
#### Install
To install `uv`, check the documentation on [Installing uv](https://docs.astral.sh/uv/getting-started/installation/).
To install, see the documentation here: https://python-poetry.org/docs/master/#installing-with-the-official-installer
#### Create an environment and sync it
1. Install the Poetry globally in your machine
```bash
curl -sSL https://install.python-poetry.org | python3 -
```
The installation script will print the installation bin folder `POETRY_BIN` which you need in the next steps.
2. Make sure Poetry is in your `$PATH`
- for `zsh`
```sh
echo 'export PATH="POETRY_BIN:$PATH"' >> ~/.zshrc
```
- for `bash`
```sh
echo 'export PATH="POETRY_BIN:$PATH"' >> ~/.bashrc
```
3. The official guidelines linked above include useful details on the configuration of autocomplete for most shell environments, e.g. Bash and Zsh.
#### Create a Virtual Environment and Install Dependencies
To activate the Virtual Environment, run:
You can use the `uv sync` to create a project virtual environment (if it does not already exist) and sync
the project's dependencies with the environment.
```bash
poetry shell
uv sync
```
To spawn a shell with the Virtual Environment activated. If the Virtual Environment doesn't exist, Poetry will create one for you. Then, to install dependencies, run:
#### Use a specific Python version (optional)
If you need to work with a specific version of Python, you can create a new virtual environment for that version
and run the sync command:
```bash
poetry install
uv venv --python 3.12
uv sync
```
**(Advanced) Use a Specific Python Version**
If for whatever reason you need to work in a specific (older) version of Python, run:
```bash
poetry env use $(which python3.10)
```
This creates a Virtual Environment with Python 3.10. For other versions, replace `$(which python3.10)` by the path to the interpreter (e.g., `/usr/bin/python3.11`) or use `$(which pythonX.Y)`.
More detailed options are described on the [Using Python environments](https://docs.astral.sh/uv/pip/environments/) documentation.
#### Add a new dependency
Simply use the `uv add` command. The `pyproject.toml` and `uv.lock` files will be updated.
```bash
poetry add NAME
uv add [OPTIONS] <PACKAGES|--requirements <REQUIREMENTS>>
```
## Coding style guidelines
### Code sytle guidelines
We use the following tools to enforce code style:
- iSort, to sort imports
- isort, to sort imports
- Black, to format code
- [MyPy](https://mypy.readthedocs.io), as static type checker
We run a series of checks on the code base on every commit, using `pre-commit`. To install the hooks, run:
A set of styling checks, as well as regression tests, are defined and managed through the [pre-commit](https://pre-commit.com/) framework. To ensure that those scripts run automatically before a commit is finalized, install `pre-commit` on your local repository:
```bash
pre-commit install
uv run pre-commit install
```
To run the checks on-demand, run:
To run the checks on-demand, type:
```
pre-commit run --all-files
```bash
uv run pre-commit run --all-files
```
Note: Checks like `Black` and `isort` will "fail" if they modify files. This is because `pre-commit` doesn't like to see files modified by their Hooks. In these cases, `git add` the modified files and `git commit` again.
Note: Checks like `Black` and `isort` will _fail_ if they modify files. This is because `pre-commit` doesn't like to see files modified by their hooks. In these cases, `git add` the modified files and `git commit` again.
+1 -48
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@@ -1,6 +1,6 @@
[![PyPI version](https://img.shields.io/pypi/v/docling-ibm-models)](https://pypi.org/project/docling-ibm-models/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/docling-ibm-models)](https://pypi.org/project/docling-ibm-models/)
[![Poetry](https://img.shields.io/endpoint?url=https://python-poetry.org/badge/v0.json)](https://python-poetry.org/)
[![uv](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/uv/main/assets/badge/v0.json)](https://github.com/astral-sh/uv)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)
@@ -15,53 +15,6 @@ AI modules to support the Docling PDF document conversion project.
- Layout model is an AI model that provides among other things ability to detect tables on the page. This package contains inference code for Layout model.
## Installation Instructions
### MacOS / Linux
To install `poetry` locally, use either `pip` or `homebrew`.
To install `poetry` on a docker container, do the following:
```
ENV POETRY_NO_INTERACTION=1 \
POETRY_VIRTUALENVS_CREATE=false
# Install poetry
RUN curl -sSL 'https://install.python-poetry.org' > install-poetry.py \
&& python install-poetry.py \
&& poetry --version \
&& rm install-poetry.py
```
To install and run the package, simply set up a poetry environment
```
poetry env use $(which python3.10)
poetry shell
```
and install all the dependencies,
```
poetry install # this will only install the deps from the poetry.lock
poetry install --no-dev # this will skip installing dev dependencies
```
To update or add new dependencies from `pyproject.toml`, rebuild `poetry.lock`
```
poetry update
```
#### MacOS Intel
When in development mode on MacOS with Intel chips, one can use compatible dependencies with
```console
poetry update --with mac_intel
```
## Pipeline Overview
![Architecture](docs/tablemodel_overview_color.png)
@@ -52,7 +52,7 @@ class SamOptConfig(OPTConfig):
class SamOPTModel(OPTModel):
config_class = SamOptConfig
config_class = SamOptConfig # type: ignore
def __init__(self, config: OPTConfig):
super(SamOPTModel, self).__init__(config)
@@ -131,7 +131,7 @@ class SamOPTModel(OPTModel):
class SamOPTForCausalLM(OPTForCausalLM):
config_class = SamOptConfig
config_class = SamOptConfig # type: ignore
def __init__(self, config):
super(OPTForCausalLM, self).__init__(config)
Generated
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+66 -81
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@@ -1,90 +1,78 @@
[tool.poetry]
[project]
name = "docling-ibm-models"
version = "3.4.3" # DO NOT EDIT, updated automatically
version = "3.4.3" # 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"
keywords = ["docling", "convert", "document", "pdf", "layout model", "segmentation", "table structure", "table former"]
readme = "README.md"
keywords= ["docling", "convert", "document", "pdf", "layout model", "segmentation", "table structure", "table former"]
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 = [
"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"
"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" },
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 (>=4.47.0,<5.0.0) ; python_version >= "3.13" and (sys_platform != "darwin" or platform_machine != "x86_64")',
'transformers (>=4.42.0,<5.0.0) ; sys_platform != "darwin" or platform_machine != "x86_64"',
'transformers (>=4.42.0,<4.43.0) ; python_version < "3.13" and sys_platform == "darwin" and platform_machine == "x86_64"',
'numpy (>=1.24.4,<3.0.0) ; sys_platform != "darwin" or platform_machine != "x86_64"',
'numpy (>=1.24.4,<2.0.0) ; sys_platform == "darwin" and platform_machine == "x86_64"',
]
[tool.poetry.dependencies]
python = "^3.9"
torch = "^2.2.2"
torchvision = "^0"
transformers = [
{markers = "python_version >= '3.13' and (sys_platform != 'darwin' or platform_machine != 'x86_64')", version = "^4.47.0"},
{markers = "sys_platform != 'darwin' or platform_machine != 'x86_64'", version = "^4.42.0"},
{markers = "python_version < '3.13' and sys_platform == 'darwin' and platform_machine == 'x86_64'", version = "~4.42.0"}
]
numpy = [
{ version = ">=1.24.4,<3.0.0", markers = 'sys_platform != "darwin" or platform_machine != "x86_64"' },
{ version = ">=1.24.4,<2.0.0", markers = 'sys_platform == "darwin" and platform_machine == "x86_64"' },
]
jsonlines = "^3.1.0"
Pillow = ">=10.0.0,<12.0.0"
tqdm = "^4.64.0"
opencv-python-headless = "^4.6.0.66"
huggingface_hub = ">=0.23,<1"
safetensors = {version=">=0.4.3,<1", extras=["torch"]}
pydantic = "^2.0.0"
docling-core = "^2.19.0"
[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"
[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"
datasets = "^3.2.0"
[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"}
[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.poetry.group.constraints]
optional = true
[tool.uv]
package = 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.setuptools.packages.find]
include = ["docling_ibm_models*"]
[tool.black]
line-length = 88
@@ -94,7 +82,7 @@ include = '\.pyi?$'
[tool.isort]
profile = "black"
line_length = 88
py_version=39
py_version = 39
[tool.semantic_release]
# for default values check:
@@ -116,8 +104,5 @@ no_implicit_optional = true
python_version = "3.10"
[[tool.mypy.overrides]]
module = [
"torchvision.*",
"transformers.*"
]
ignore_missing_imports = true
module = ["torchvision.*", "transformers.*"]
ignore_missing_imports = true
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