feat: Python 3.13 support (#841)

* test: update results with new docling-core

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* update all deps in the lock

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* fix table in test results

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* fix version for python3.13

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* latest poetry version in CI

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* activate py3.13 in CI

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* update docs about python 3.13

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* test with rapidocr only on python <3.13

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

---------

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>
This commit is contained in:
Michele Dolfi 2025-01-30 17:26:42 +01:00 committed by GitHub
parent bccb022fc8
commit 4df085aa6c
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6 changed files with 281 additions and 222 deletions

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@ -8,7 +8,7 @@ runs:
using: 'composite'
steps:
- name: Install poetry
run: pipx install poetry==1.8.3
run: pipx install poetry==1.8.5
shell: bash
- uses: actions/setup-python@v5
with:

View File

@ -6,7 +6,7 @@ jobs:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ['3.9', '3.10', '3.11', '3.12']
python-version: ['3.9', '3.10', '3.11', '3.12', '3.13']
steps:
- uses: actions/checkout@v4
- name: Install tesseract

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@ -7,28 +7,7 @@ This is a collection of FAQ collected from the user questions on <https://github
### Is Python 3.13 supported?
Full support for Python 3.13 is currently waiting for [pytorch](https://github.com/pytorch/pytorch).
At the moment, no release has full support, but nightly builds are available. Docling was tested on Python 3.13 with the following steps:
```sh
# Create a python 3.13 virtualenv
python3.13 -m venv venv
source ./venv/bin/activate
# Install torch nightly builds, see https://pytorch.org/
pip3 install --pre torch torchvision --index-url https://download.pytorch.org/whl/nightly/cpu
# Install docling
pip3 install docling
# Run docling
docling --no-ocr https://arxiv.org/pdf/2408.09869
```
_Note: we are disabling OCR since easyocr and the nightly torch builds have some conflicts._
Source: Issue [#136](https://github.com/DS4SD/docling/issues/136)
Python 3.13 is supported from Docling 2.18.0.
??? question "Install conflicts with numpy (python 3.13)"

464
poetry.lock generated
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@ -182,8 +182,8 @@ files = [
lazy-object-proxy = ">=1.4.0"
typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""}
wrapt = [
{version = ">=1.11,<2", markers = "python_version < \"3.11\""},
{version = ">=1.14,<2", markers = "python_version >= \"3.11\""},
{version = ">=1.11,<2", markers = "python_version < \"3.11\""},
]
[[package]]
@ -1488,13 +1488,13 @@ zstd = ["zstandard (>=0.18.0)"]
[[package]]
name = "huggingface-hub"
version = "0.27.1"
version = "0.28.0"
description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
optional = false
python-versions = ">=3.8.0"
files = [
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]
[package.dependencies]
@ -1507,13 +1507,13 @@ tqdm = ">=4.42.1"
typing-extensions = ">=3.7.4.3"
[package.extras]
all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
cli = ["InquirerPy (==0.3.4)"]
dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "libcst (==1.4.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.9.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
hf-transfer = ["hf-transfer (>=0.1.4)"]
inference = ["aiohttp"]
quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.5.0)"]
quality = ["libcst (==1.4.0)", "mypy (==1.5.1)", "ruff (>=0.9.0)"]
tensorflow = ["graphviz", "pydot", "tensorflow"]
tensorflow-testing = ["keras (<3.0)", "tensorflow"]
testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio (>=4.0.0)", "jedi", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
@ -2598,13 +2598,13 @@ tqdm = "*"
[[package]]
name = "mistune"
version = "3.1.0"
version = "3.1.1"
description = "A sane and fast Markdown parser with useful plugins and renderers"
optional = false
python-versions = ">=3.8"
files = [
{file = "mistune-3.1.0-py3-none-any.whl", hash = "sha256:b05198cf6d671b3deba6c87ec6cf0d4eb7b72c524636eddb6dbf13823b52cee1"},
{file = "mistune-3.1.0.tar.gz", hash = "sha256:dbcac2f78292b9dc066cd03b7a3a26b62d85f8159f2ea5fd28e55df79908d667"},
{file = "mistune-3.1.1-py3-none-any.whl", hash = "sha256:02106ac2aa4f66e769debbfa028509a275069dcffce0dfa578edd7b991ee700a"},
{file = "mistune-3.1.1.tar.gz", hash = "sha256:e0740d635f515119f7d1feb6f9b192ee60f0cc649f80a8f944f905706a21654c"},
]
[package.dependencies]
@ -2817,8 +2817,8 @@ files = [
[package.dependencies]
multiprocess = [
{version = "*", optional = true, markers = "python_version < \"3.11\" and extra == \"dill\""},
{version = ">=0.70.15", optional = true, markers = "python_version >= \"3.11\" and extra == \"dill\""},
{version = "*", optional = true, markers = "python_version < \"3.11\" and extra == \"dill\""},
]
pygments = ">=2.0"
pywin32 = {version = ">=301", markers = "platform_system == \"Windows\""}
@ -3069,13 +3069,13 @@ test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=
[[package]]
name = "nbconvert"
version = "7.16.5"
version = "7.16.6"
description = "Converting Jupyter Notebooks (.ipynb files) to other formats. Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script. nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`)."
optional = false
python-versions = ">=3.8"
files = [
{file = "nbconvert-7.16.5-py3-none-any.whl", hash = "sha256:e12eac052d6fd03040af4166c563d76e7aeead2e9aadf5356db552a1784bd547"},
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]
[package.dependencies]
@ -3640,6 +3640,18 @@ files = [
[package.dependencies]
nvidia-nvjitlink-cu12 = "*"
[[package]]
name = "nvidia-cusparselt-cu12"
version = "0.6.2"
description = "NVIDIA cuSPARSELt"
optional = false
python-versions = "*"
files = [
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]
[[package]]
name = "nvidia-nccl-cu12"
version = "2.19.3"
@ -3821,12 +3833,12 @@ files = [
[package.dependencies]
numpy = [
{version = ">=1.21.0", markers = "python_version == \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\""},
{version = ">=1.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\" and python_version >= \"3.8\" and python_version < \"3.10\" or python_version > \"3.9\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_system != \"Darwin\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_machine != \"arm64\" and python_version < \"3.10\""},
{version = ">=1.26.0", markers = "python_version >= \"3.12\""},
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{version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""},
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{version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
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{version = ">=1.21.0", markers = "python_version == \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\""},
{version = ">=1.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\" and python_version >= \"3.8\" and python_version < \"3.10\" or python_version > \"3.9\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_system != \"Darwin\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_machine != \"arm64\" and python_version < \"3.10\""},
]
[[package]]
@ -3847,12 +3859,12 @@ files = [
[package.dependencies]
numpy = [
{version = ">=1.21.0", markers = "python_version == \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\""},
{version = ">=1.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\" and python_version >= \"3.8\" and python_version < \"3.10\" or python_version > \"3.9\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_system != \"Darwin\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_machine != \"arm64\" and python_version < \"3.10\""},
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{version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
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{version = ">=1.21.0", markers = "python_version == \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\""},
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]
[[package]]
@ -4036,9 +4048,9 @@ files = [
[package.dependencies]
numpy = [
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{version = ">=1.23.2", markers = "python_version == \"3.11\""},
{version = ">=1.26.0", markers = "python_version >= \"3.12\""},
{version = ">=1.23.2", markers = "python_version == \"3.11\""},
{version = ">=1.22.4", markers = "python_version < \"3.11\""},
]
python-dateutil = ">=2.8.2"
pytz = ">=2020.1"
@ -4802,8 +4814,8 @@ files = [
astroid = ">=2.15.8,<=2.17.0-dev0"
colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""}
dill = [
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{version = ">=0.3.6", markers = "python_version >= \"3.11\""},
{version = ">=0.2", markers = "python_version < \"3.11\""},
]
isort = ">=4.2.5,<6"
mccabe = ">=0.6,<0.8"
@ -4818,13 +4830,13 @@ testutils = ["gitpython (>3)"]
[[package]]
name = "pymdown-extensions"
version = "10.14.1"
version = "10.14.2"
description = "Extension pack for Python Markdown."
optional = false
python-versions = ">=3.8"
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[package.dependencies]
@ -5419,120 +5431,120 @@ pyyaml = "*"
[[package]]
name = "pyzmq"
version = "26.2.0"
version = "26.2.1"
description = "Python bindings for 0MQ"
optional = false
python-versions = ">=3.7"
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]
[package.dependencies]
@ -6760,17 +6832,18 @@ nvidia-cufft-cu12 = {version = "11.2.1.3", markers = "platform_system == \"Linux
nvidia-curand-cu12 = {version = "10.3.5.147", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-cusolver-cu12 = {version = "11.6.1.9", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-cusparse-cu12 = {version = "12.3.1.170", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-cusparselt-cu12 = {version = "0.6.2", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-nccl-cu12 = {version = "2.21.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-nvjitlink-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-nvtx-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
setuptools = {version = "*", markers = "python_version >= \"3.12\""}
sympy = {version = "1.13.1", markers = "python_version >= \"3.9\""}
triton = {version = "3.1.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.13\""}
typing-extensions = ">=4.8.0"
triton = {version = "3.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
typing-extensions = ">=4.10.0"
[package.extras]
opt-einsum = ["opt-einsum (>=3.3)"]
optree = ["optree (>=0.12.0)"]
optree = ["optree (>=0.13.0)"]
[[package]]
name = "torchvision"
@ -6816,33 +6889,37 @@ scipy = ["scipy"]
[[package]]
name = "torchvision"
version = "0.20.1"
version = "0.21.0"
description = "image and video datasets and models for torch deep learning"
optional = false
python-versions = ">=3.8"
python-versions = ">=3.9"
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]
[package.dependencies]
numpy = "*"
pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
torch = "2.5.1"
torch = "2.6.0"
[package.extras]
gdown = ["gdown (>=4.7.3)"]
@ -7066,21 +7143,18 @@ tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
[[package]]
name = "triton"
version = "3.1.0"
version = "3.2.0"
description = "A language and compiler for custom Deep Learning operations"
optional = false
python-versions = "*"
files = [
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[package.dependencies]
filelock = "*"
[package.extras]
build = ["cmake (>=3.20)", "lit"]
tests = ["autopep8", "flake8", "isort", "llnl-hatchet", "numpy", "pytest", "scipy (>=1.7.1)"]
@ -7487,13 +7561,13 @@ files = [
[[package]]
name = "xlsxwriter"
version = "3.2.1"
version = "3.2.2"
description = "A Python module for creating Excel XLSX files."
optional = false
python-versions = ">=3.6"
files = [
{file = "XlsxWriter-3.2.1-py3-none-any.whl", hash = "sha256:7e8f7c60b7a1660ef791d46ab5de78469cb978b991ca841af61f5832d2f9f4fe"},
{file = "XlsxWriter-3.2.1.tar.gz", hash = "sha256:97618759cb264fb6a93397f660cca156ffa9561743b1823dafb60dc4474e1902"},
{file = "XlsxWriter-3.2.2-py3-none-any.whl", hash = "sha256:272ce861e7fa5e82a4a6ebc24511f2cb952fde3461f6c6e1a1e81d3272db1471"},
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]
[[package]]
@ -7751,4 +7825,4 @@ tesserocr = ["tesserocr"]
[metadata]
lock-version = "2.0"
python-versions = "^3.9"
content-hash = "9594a837bfcc96f1bad0d5a9210cec0008e33130f0a4557e7e711d066ac8e791"
content-hash = "336970505f4bae6b21f4cf358ebf6b5ef4fa42a4980358297e63bfea381b350a"

View File

@ -39,7 +39,10 @@ easyocr = "^1.7"
tesserocr = { version = "^2.7.1", optional = true }
certifi = ">=2024.7.4"
rtree = "^1.3.0"
scipy = "^1.6.0"
scipy = [
{ version = "^1.6.0", markers = "python_version >= '3.10'" },
{ version = ">=1.6.0,<1.14.0", markers = "python_version < '3.10'" }
]
typer = "^0.12.5"
python-docx = "^1.1.2"
python-pptx = "^1.0.2"

View File

@ -59,15 +59,18 @@ def test_e2e_conversions():
EasyOcrOptions(),
TesseractOcrOptions(),
TesseractCliOcrOptions(),
RapidOcrOptions(),
EasyOcrOptions(force_full_page_ocr=True),
TesseractOcrOptions(force_full_page_ocr=True),
TesseractOcrOptions(force_full_page_ocr=True, lang=["auto"]),
TesseractCliOcrOptions(force_full_page_ocr=True),
TesseractCliOcrOptions(force_full_page_ocr=True, lang=["auto"]),
RapidOcrOptions(force_full_page_ocr=True),
]
# rapidocr is only available for Python >=3.6,<3.13
if sys.version_info < (3, 13):
engines.append(RapidOcrOptions())
engines.append(RapidOcrOptions(force_full_page_ocr=True))
# only works on mac
if "darwin" == sys.platform:
engines.append(OcrMacOptions())