diff --git a/constraints-dev.txt b/constraints-dev.txt index 6fad5743..3bc655cd 100644 --- a/constraints-dev.txt +++ b/constraints-dev.txt @@ -1,49 +1,49 @@ -accelerate==1.9.0 # via docling, docling-ibm-models +accelerate==1.10.0 # via docling, docling-ibm-models aiohappyeyeballs==2.6.1 # via aiohttp -aiohttp==3.12.14 # via fsspec +aiohttp==3.12.15 # via fsspec aiosignal==1.4.0 # via aiohttp annotated-types==0.7.0 # via pydantic -anyio==4.9.0 # via httpx, openai, sse-starlette, starlette +anyio==4.10.0 # via httpx, openai, sse-starlette, starlette astroid==3.3.11 # via pylint attrs==25.3.0 # via aiohttp, jsonlines, jsonschema, referencing beautifulsoup4==4.13.4 # via docling cachetools==6.1.0 # via tox -certifi==2025.7.14 # via docling, httpcore, httpx, requests +certifi==2025.8.3 # via docling, httpcore, httpx, requests cfgv==3.4.0 # via pre-commit chardet==5.2.0 # via tox -charset-normalizer==3.4.2 # via requests +charset-normalizer==3.4.3 # via requests click==8.2.1 # via typer, uvicorn, -r requirements.txt colorama==0.4.6 # via tox -contourpy==1.3.2 # via matplotlib -coverage==7.9.2 # via pytest-cov +contourpy==1.3.3 # via matplotlib +coverage==7.10.4 # via pytest-cov cycler==0.12.1 # via matplotlib datasets==3.6.0 # via -c constraints-dev.txt.in, -r requirements.txt dill==0.3.8 # via datasets, multiprocess, pylint diskcache==5.6.3 # via llama-cpp-python distlib==0.4.0 # via virtualenv distro==1.9.0 # via openai -docling==2.42.0 # via -r requirements.txt -docling-core==2.43.0 # via docling, docling-ibm-models, docling-parse, -r requirements.txt -docling-ibm-models==3.8.2 # via docling +docling==2.44.0 # via -r requirements.txt +docling-core==2.44.2 # via docling, docling-ibm-models, docling-parse, -r requirements.txt +docling-ibm-models==3.9.0 # via docling docling-parse==4.1.0 # via docling easyocr==1.7.2 # via docling et-xmlfile==2.0.0 # via openpyxl fastapi==0.116.1 # via llama-cpp-python -filelock==3.18.0 # via datasets, huggingface-hub, torch, tox, transformers, virtualenv +filelock==3.19.1 # via datasets, huggingface-hub, torch, tox, transformers, virtualenv filetype==1.2.0 # via docling -fonttools==4.59.0 # via matplotlib +fonttools==4.59.1 # via matplotlib frozenlist==1.7.0 # via aiohttp, aiosignal fsspec==2025.3.0 # via datasets, huggingface-hub, torch gguf==0.17.1 # via -r requirements.txt gitdb==4.0.12 # via gitpython -gitpython==3.1.44 # via -r requirements.txt +gitpython==3.1.45 # via -r requirements.txt h11==0.16.0 # via httpcore, uvicorn h5py==3.14.0 # via -r requirements.txt -hf-xet==1.1.5 # via huggingface-hub +hf-xet==1.1.7 # via huggingface-hub httpcore==1.0.9 # via httpx httpx==0.28.1 # via langsmith, openai, -r requirements.txt -huggingface-hub==0.33.4 # via accelerate, datasets, docling, docling-ibm-models, tokenizers, transformers -identify==2.6.12 # via pre-commit +huggingface-hub==0.34.4 # via accelerate, datasets, docling, docling-ibm-models, tokenizers, transformers +identify==2.6.13 # via pre-commit idna==3.10 # via anyio, httpx, requests, yarl imageio==2.37.0 # via scikit-image iniconfig==2.1.0 # via pytest @@ -58,55 +58,55 @@ jsonpointer==3.0.0 # via jsonpatch jsonref==1.1.0 # via docling-core jsonschema==4.25.0 # via docling-core, instructlab-schema, -r requirements-dev.txt jsonschema-specifications==2025.4.1 # via jsonschema -kiwisolver==1.4.8 # via matplotlib -langchain-core==0.3.70 # via langchain-text-splitters -langchain-text-splitters==0.3.8 # via -r requirements.txt -langsmith==0.4.8 # via langchain-core +kiwisolver==1.4.9 # via matplotlib +langchain-core==0.3.74 # via langchain-text-splitters +langchain-text-splitters==0.3.9 # via -r requirements.txt +langsmith==0.4.14 # via langchain-core latex2mathml==3.78.0 # via docling-core lazy-loader==0.4 # via scikit-image -llama-cpp-python==0.3.14 # via -r requirements-dev.txt +llama-cpp-python==0.3.16 # via -r requirements-dev.txt llvmlite==0.44.0 # via numba lxml==5.4.0 # via docling, python-docx, python-pptx -markdown-it-py==3.0.0 # via rich -marko==2.1.4 # via docling +markdown-it-py==4.0.0 # via rich +marko==2.2.0 # via docling markupsafe==3.0.2 # via jinja2 -matplotlib==3.10.3 # via submodlib-py +matplotlib==3.10.5 # via submodlib-py mccabe==0.7.0 # via pylint mdurl==0.1.2 # via markdown-it-py mpire==2.10.2 # via semchunk mpmath==1.3.0 # via sympy -multidict==6.6.3 # via aiohttp, yarl +multidict==6.6.4 # via aiohttp, yarl multiprocess==0.70.16 # via datasets, mpire networkx==3.5 # via scikit-image, torch -ninja==1.11.1.4 # via easyocr +ninja==1.13.0 # via easyocr nodeenv==1.9.1 # via pre-commit numba==0.61.2 # via submodlib-py, -r requirements.txt numpy==2.2.6 # via accelerate, contourpy, datasets, docling-ibm-models, easyocr, gguf, h5py, imageio, llama-cpp-python, matplotlib, numba, opencv-python-headless, pandas, safetensors, scikit-image, scikit-learn, scipy, shapely, submodlib-py, tifffile, torchvision, transformers -nvidia-cublas-cu12==12.6.4.1 # via nvidia-cudnn-cu12, nvidia-cusolver-cu12, torch -nvidia-cuda-cupti-cu12==12.6.80 # via torch -nvidia-cuda-nvrtc-cu12==12.6.77 # via torch -nvidia-cuda-runtime-cu12==12.6.77 # via torch -nvidia-cudnn-cu12==9.5.1.17 # via torch -nvidia-cufft-cu12==11.3.0.4 # via torch -nvidia-cufile-cu12==1.11.1.6 # via torch -nvidia-curand-cu12==10.3.7.77 # via torch -nvidia-cusolver-cu12==11.7.1.2 # via torch -nvidia-cusparse-cu12==12.5.4.2 # via nvidia-cusolver-cu12, torch -nvidia-cusparselt-cu12==0.6.3 # via torch -nvidia-nccl-cu12==2.26.2 # via torch -nvidia-nvjitlink-cu12==12.6.85 # via nvidia-cufft-cu12, nvidia-cusolver-cu12, nvidia-cusparse-cu12, torch -nvidia-nvtx-cu12==12.6.77 # via torch -openai==1.97.0 # via -r requirements.txt +nvidia-cublas-cu12==12.8.4.1 # via nvidia-cudnn-cu12, nvidia-cusolver-cu12, torch +nvidia-cuda-cupti-cu12==12.8.90 # via torch +nvidia-cuda-nvrtc-cu12==12.8.93 # via torch +nvidia-cuda-runtime-cu12==12.8.90 # via torch +nvidia-cudnn-cu12==9.10.2.21 # via torch +nvidia-cufft-cu12==11.3.3.83 # via torch +nvidia-cufile-cu12==1.13.1.3 # via torch +nvidia-curand-cu12==10.3.9.90 # via torch +nvidia-cusolver-cu12==11.7.3.90 # via torch +nvidia-cusparse-cu12==12.5.8.93 # via nvidia-cusolver-cu12, torch +nvidia-cusparselt-cu12==0.7.1 # via torch +nvidia-nccl-cu12==2.27.3 # via torch +nvidia-nvjitlink-cu12==12.8.93 # via nvidia-cufft-cu12, nvidia-cusolver-cu12, nvidia-cusparse-cu12, torch +nvidia-nvtx-cu12==12.8.90 # via torch +openai==1.99.9 # via -r requirements.txt opencv-python-headless==4.12.0.88 # via docling-ibm-models, easyocr openpyxl==3.1.5 # via docling -orjson==3.11.0 # via langsmith +orjson==3.11.2 # via langsmith packaging==25.0 # via accelerate, datasets, huggingface-hub, langchain-core, langsmith, lazy-loader, matplotlib, pyproject-api, pytest, scikit-image, tox, transformers pandas==2.3.1 # via datasets, docling, docling-core, submodlib-py pathspec==0.12.1 # via yamllint pillow==11.3.0 # via docling, docling-core, docling-ibm-models, docling-parse, easyocr, imageio, matplotlib, python-pptx, scikit-image, torchvision platformdirs==4.3.8 # via pylint, tox, virtualenv pluggy==1.6.0 # via docling, pytest, pytest-cov, tox -pre-commit==4.2.0 # via -r requirements-dev.txt +pre-commit==4.3.0 # via -r requirements-dev.txt propcache==0.3.2 # via aiohttp, yarl psutil==7.0.0 # via accelerate pyarrow==21.0.0 # via datasets @@ -116,7 +116,7 @@ pydantic-core==2.33.2 # via pydantic pydantic-settings==2.10.1 # via docling, llama-cpp-python pygments==2.19.2 # via mpire, pytest, rich pylatexenc==2.10 # via docling -pylint==3.3.7 # via pylint-plugin-utils, pylint-pydantic, -r requirements-dev.txt +pylint==3.3.8 # via pylint-plugin-utils, pylint-pydantic, -r requirements-dev.txt pylint-plugin-utils==0.9.0 # via pylint-pydantic pylint-pydantic==0.3.5 # via -r requirements-dev.txt pyparsing==3.2.3 # via matplotlib @@ -135,18 +135,18 @@ python-pptx==1.0.2 # via docling pytz==2025.2 # via pandas pyyaml==6.0.2 # via accelerate, datasets, docling-core, easyocr, gguf, huggingface-hub, instructlab-schema, langchain-core, llama-cpp-python, pre-commit, transformers, yamllint referencing==0.36.2 # via jsonschema, jsonschema-specifications -regex==2024.11.6 # via transformers +regex==2025.7.34 # via transformers requests==2.32.4 # via datasets, docling, huggingface-hub, langsmith, requests-toolbelt, transformers requests-toolbelt==1.0.0 # via langsmith -rich==14.0.0 # via typer -rpds-py==0.26.0 # via jsonschema, referencing -rtree==1.4.0 # via docling, docling-ibm-models -safetensors==0.5.3 # via accelerate, docling-ibm-models, transformers +rich==14.1.0 # via typer +rpds-py==0.27.0 # via jsonschema, referencing +rtree==1.4.1 # via docling, docling-ibm-models +safetensors==0.6.2 # via accelerate, docling-ibm-models, transformers scikit-image==0.25.2 # via easyocr scikit-learn==1.7.1 # via submodlib-py -scipy==1.16.0 # via docling, easyocr, scikit-image, scikit-learn, submodlib-py +scipy==1.16.1 # via docling, easyocr, scikit-image, scikit-learn, submodlib-py semchunk==2.2.2 # via docling-core -sentencepiece==0.2.0 # via -r requirements.txt +sentencepiece==0.2.1 # via -r requirements.txt setuptools==80.9.0 # via triton shapely==2.1.1 # via easyocr shellingham==1.5.4 # via typer @@ -154,7 +154,7 @@ six==1.17.0 # via python-dateutil smmap==5.0.2 # via gitdb sniffio==1.3.1 # via anyio, openai soupsieve==2.7 # via beautifulsoup4 -sse-starlette==2.4.1 # via llama-cpp-python +sse-starlette==3.0.2 # via llama-cpp-python starlette==0.47.2 # via fastapi, starlette-context, -r requirements-dev.txt starlette-context==0.3.6 # via llama-cpp-python submodlib-py==0.0.3 # via -r requirements.txt @@ -164,24 +164,24 @@ tenacity==9.1.2 # via langchain-core, -r requirements.txt tesserocr==2.8.0 # via docling threadpoolctl==3.6.0 # via scikit-learn tifffile==2025.6.11 # via scikit-image -tokenizers==0.21.2 # via transformers +tokenizers==0.21.4 # via transformers tomlkit==0.13.3 # via pylint -torch==2.7.1 # via accelerate, docling-ibm-models, easyocr, safetensors, torchvision -torchvision==0.22.1 # via docling-ibm-models, easyocr -tox==4.28.0 # via -r requirements-dev.txt +torch==2.8.0 # via accelerate, docling-ibm-models, easyocr, safetensors, torchvision +torchvision==0.23.0 # via docling-ibm-models, easyocr +tox==4.28.4 # via -r requirements-dev.txt tqdm==4.67.1 # via datasets, docling, docling-ibm-models, gguf, huggingface-hub, mpire, openai, semchunk, submodlib-py, transformers -transformers==4.53.2 # via docling-core, docling-ibm-models, -r requirements.txt -triton==3.3.1 # via torch +transformers==4.55.2 # via docling-core, docling-ibm-models, -r requirements.txt +triton==3.4.0 # via torch typer==0.16.0 # via docling, docling-core typing-extensions==4.14.1 # via aiosignal, anyio, beautifulsoup4, docling-core, fastapi, huggingface-hub, instructlab-schema, langchain-core, llama-cpp-python, openai, pydantic, pydantic-core, python-docx, python-pptx, referencing, starlette, torch, typer, typing-inspection typing-inspection==0.4.1 # via pydantic, pydantic-settings tzdata==2025.2 # via pandas urllib3==2.5.0 # via requests uvicorn==0.35.0 # via llama-cpp-python -virtualenv==20.32.0 # via pre-commit, tox +virtualenv==20.34.0 # via pre-commit, tox xdg-base-dirs==6.0.2 # via -r requirements.txt xlsxwriter==3.2.5 # via python-pptx xxhash==3.5.0 # via datasets yamllint==1.37.1 # via instructlab-schema yarl==1.20.1 # via aiohttp -zstandard==0.23.0 # via langsmith +zstandard==0.24.0 # via langsmith