#
# This file is autogenerated by pip-compile with Python 3.13
# by the following command:
#
#    pip-compile requirements.in
#
absl-py==2.4.0
    # via
    #   array-record
    #   chex
    #   dm-tree
    #   grain
    #   optax
    #   orbax-checkpoint
    #   orbax-export
    #   tfp-nightly
accelerate==1.12.0
    # via
    #   docling
    #   docling-ibm-models
aiofiles==25.1.0
    # via orbax-checkpoint
annotated-doc==0.0.4
    # via typer
annotated-types==0.7.0
    # via pydantic
antlr4-python3-runtime==4.9.3
    # via omegaconf
anyio==4.12.1
    # via
    #   httpx
    #   jupyter-server
    #   starlette
    #   watchfiles
apsw==3.51.2.0
    # via apswutils
apswutils==0.1.2
    # via fastlite
argon2-cffi==25.1.0
    # via jupyter-server
argon2-cffi-bindings==25.1.0
    # via argon2-cffi
array-record==0.8.3
    # via grain
arrow==1.4.0
    # via isoduration
arviz==0.23.4
    # via -r requirements.in
asttokens==3.0.1
    # via stack-data
async-lru==2.2.0
    # via jupyterlab
attrs==25.4.0
    # via
    #   dm-tree
    #   jsonlines
    #   jsonschema
    #   referencing
babel==2.18.0
    # via jupyterlab-server
beautifulsoup4==4.14.3
    # via
    #   docling
    #   nbconvert
    #   python-fasthtml
blackjax==1.3
    # via -r requirements.in
bleach[css]==6.3.0
    # via nbconvert
certifi==2026.1.4
    # via
    #   docling
    #   httpcore
    #   httpx
    #   requests
cffi==2.0.0
    # via argon2-cffi-bindings
charset-normalizer==3.4.4
    # via requests
chex==0.1.91
    # via optax
click==8.3.1
    # via
    #   typer
    #   uvicorn
cloudpickle==3.1.2
    # via
    #   grain
    #   tfp-nightly
cmdstanpy==1.3.0
    # via -r requirements.in
colorlog==6.10.1
    # via rapidocr
comm==0.2.3
    # via ipykernel
contourpy==1.3.3
    # via matplotlib
cuda-bindings==12.9.4
    # via torch
cuda-pathfinder==1.4.2
    # via cuda-bindings
cycler==0.12.1
    # via matplotlib
dataclasses-json==0.6.7
    # via orbax-export
debugpy==1.8.20
    # via ipykernel
decorator==5.2.1
    # via
    #   ipython
    #   tfp-nightly
defusedxml==0.7.1
    # via
    #   docling
    #   docling-core
    #   nbconvert
dill==0.4.1
    # via
    #   -r requirements.in
    #   multiprocess
dm-tree==0.1.9
    # via tfp-nightly
docling==2.74.0
    # via -r requirements.in
docling-core[chunking]==2.65.1
    # via
    #   docling
    #   docling-ibm-models
    #   docling-parse
docling-ibm-models==3.11.0
    # via docling
docling-parse==5.3.3
    # via docling
et-xmlfile==2.0.0
    # via openpyxl
etils[epath,epy]==1.13.0
    # via
    #   array-record
    #   grain
    #   orbax-checkpoint
    #   orbax-export
executing==2.2.1
    # via stack-data
faker==40.4.0
    # via polyfactory
fastcore==1.12.16
    # via
    #   apswutils
    #   fastlite
    #   fastprogress
    #   python-fasthtml
fastjsonschema==2.21.2
    # via nbformat
fastlite==0.2.4
    # via python-fasthtml
fastprogress==1.1.5
    # via blackjax
filelock==3.24.3
    # via
    #   huggingface-hub
    #   torch
    #   transformers
filetype==1.2.0
    # via docling
flax==0.12.4
    # via -r requirements.in
fonttools==4.61.1
    # via matplotlib
fqdn==1.5.1
    # via jsonschema
fsspec==2026.2.0
    # via
    #   etils
    #   huggingface-hub
    #   torch
gast==0.7.0
    # via tfp-nightly
grain==0.2.15
    # via -r requirements.in
h11==0.16.0
    # via
    #   httpcore
    #   uvicorn
h5netcdf==1.8.1
    # via arviz
h5py==3.15.1
    # via arviz
hf-xet==1.2.0
    # via huggingface-hub
httpcore==1.0.9
    # via httpx
httptools==0.7.1
    # via uvicorn
httpx==0.28.1
    # via
    #   jupyterlab
    #   python-fasthtml
huggingface-hub==0.36.2
    # via
    #   accelerate
    #   docling
    #   docling-ibm-models
    #   tokenizers
    #   transformers
humanize==4.15.0
    # via orbax-checkpoint
idna==3.15
    # via
    #   anyio
    #   httpx
    #   jsonschema
    #   requests
importlib-resources==6.5.2
    # via etils
ipykernel==7.2.0
    # via jupyterlab
ipython==9.10.0
    # via ipykernel
ipython-pygments-lexers==1.1.1
    # via ipython
isoduration==20.11.0
    # via jsonschema
itsdangerous==2.2.0
    # via python-fasthtml
jax==0.9.0.1
    # via
    #   -r requirements.in
    #   blackjax
    #   chex
    #   flax
    #   jaxopt
    #   optax
    #   orbax-checkpoint
    #   orbax-export
    #   tfp-nightly
jaxlib==0.9.0.1
    # via
    #   blackjax
    #   chex
    #   jax
    #   jaxopt
    #   optax
    #   orbax-export
    #   tfp-nightly
jaxopt==0.8.3
    # via blackjax
jaxtyping==0.3.9
    # via orbax-export
jedi==0.19.2
    # via ipython
jinja2==3.1.6
    # via
    #   jupyter-server
    #   jupyterlab
    #   jupyterlab-server
    #   nbconvert
    #   torch
joblib==1.5.3
    # via scikit-learn
json5==0.13.0
    # via jupyterlab-server
jsonlines==4.0.0
    # via docling-ibm-models
jsonpointer==3.0.0
    # via jsonschema
jsonref==1.1.0
    # via docling-core
jsonschema[format-nongpl]==4.26.0
    # via
    #   docling-core
    #   jupyter-events
    #   jupyterlab-server
    #   nbformat
jsonschema-specifications==2025.9.1
    # via jsonschema
jupyter-client==8.8.0
    # via
    #   ipykernel
    #   jupyter-server
    #   nbclient
jupyter-core==5.9.1
    # via
    #   ipykernel
    #   jupyter-client
    #   jupyter-server
    #   jupyterlab
    #   nbclient
    #   nbconvert
    #   nbformat
jupyter-events==0.12.0
    # via jupyter-server
jupyter-lsp==2.3.0
    # via jupyterlab
jupyter-server==2.18.0
    # via
    #   jupyter-lsp
    #   jupyterlab
    #   jupyterlab-server
    #   notebook
    #   notebook-shim
jupyter-server-terminals==0.5.4
    # via jupyter-server
jupyterlab==4.5.7
    # via notebook
jupyterlab-pygments==0.3.0
    # via nbconvert
jupyterlab-server==2.28.0
    # via
    #   jupyterlab
    #   notebook
kiwisolver==1.4.9
    # via matplotlib
lark==1.3.1
    # via rfc3987-syntax
latex2mathml==3.78.1
    # via docling-core
lxml==6.1.0
    # via
    #   docling
    #   python-docx
    #   python-pptx
markdown-it-py==4.0.0
    # via rich
marko==2.2.2
    # via docling
markupsafe==3.0.3
    # via
    #   jinja2
    #   nbconvert
marshmallow==3.26.2
    # via dataclasses-json
matplotlib==3.10.8
    # via
    #   -r requirements.in
    #   arviz
matplotlib-inline==0.2.1
    # via
    #   ipykernel
    #   ipython
mdurl==0.1.2
    # via markdown-it-py
mistune==3.2.1
    # via nbconvert
ml-dtypes==0.5.4
    # via
    #   jax
    #   jaxlib
    #   tensorstore
mpire[dill]==2.10.2
    # via semchunk
mpmath==1.3.0
    # via sympy
msgpack==1.1.2
    # via
    #   flax
    #   orbax-checkpoint
multiprocess==0.70.19
    # via mpire
mypy-extensions==1.1.0
    # via typing-inspect
nbclient==0.10.4
    # via nbconvert
nbconvert==7.17.1
    # via jupyter-server
nbformat==5.10.4
    # via
    #   jupyter-server
    #   nbclient
    #   nbconvert
nest-asyncio==1.6.0
    # via ipykernel
networkx==3.6.1
    # via torch
notebook==7.5.6
    # via -r requirements.in
notebook-shim==0.2.4
    # via
    #   jupyterlab
    #   notebook
numpy==2.3.5
    # via
    #   -r requirements.in
    #   accelerate
    #   arviz
    #   chex
    #   cmdstanpy
    #   contourpy
    #   dm-tree
    #   docling-ibm-models
    #   flax
    #   grain
    #   h5netcdf
    #   h5py
    #   jax
    #   jaxlib
    #   jaxopt
    #   matplotlib
    #   ml-dtypes
    #   opencv-python
    #   optax
    #   orbax-checkpoint
    #   orbax-export
    #   pandas
    #   rapidocr
    #   safetensors
    #   scikit-learn
    #   scipy
    #   shapely
    #   stanio
    #   tensorstore
    #   tfp-nightly
    #   torchvision
    #   transformers
    #   treescope
    #   xarray
    #   xarray-einstats
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==2.27.5
    # via torch
nvidia-nvjitlink-cu12==12.8.93
    # via
    #   nvidia-cufft-cu12
    #   nvidia-cusolver-cu12
    #   nvidia-cusparse-cu12
    #   torch
nvidia-nvshmem-cu12==3.4.5
    # via torch
nvidia-nvtx-cu12==12.8.90
    # via torch
oauthlib==3.3.1
    # via python-fasthtml
omegaconf==2.3.0
    # via rapidocr
opencv-python==4.13.0.92
    # via rapidocr
openpyxl==3.1.5
    # via docling
opt-einsum==3.4.0
    # via jax
optax==0.2.6
    # via
    #   -r requirements.in
    #   blackjax
    #   flax
orbax-checkpoint==0.11.33
    # via
    #   -r requirements.in
    #   flax
    #   orbax-export
orbax-export==0.0.8
    # via flax
packaging==26.0
    # via
    #   accelerate
    #   arviz
    #   h5netcdf
    #   huggingface-hub
    #   ipykernel
    #   jupyter-events
    #   jupyter-server
    #   jupyterlab
    #   jupyterlab-server
    #   marshmallow
    #   matplotlib
    #   nbconvert
    #   safetensors
    #   transformers
    #   xarray
pandas==2.3.3
    # via
    #   -r requirements.in
    #   arviz
    #   cmdstanpy
    #   docling
    #   docling-core
    #   xarray
pandocfilters==1.5.1
    # via nbconvert
parso==0.8.6
    # via jedi
pexpect==4.9.0
    # via ipython
pillow==12.2.0
    # via
    #   docling
    #   docling-core
    #   docling-ibm-models
    #   docling-parse
    #   matplotlib
    #   python-pptx
    #   rapidocr
    #   torchvision
platformdirs==4.9.2
    # via
    #   arviz
    #   jupyter-core
pluggy==1.6.0
    # via docling
polars==1.38.1
    # via -r requirements.in
polars-runtime-32==1.38.1
    # via polars
polyfactory==3.3.0
    # via docling
prometheus-client==0.24.1
    # via jupyter-server
prompt-toolkit==3.0.52
    # via ipython
protobuf==6.33.5
    # via
    #   grain
    #   orbax-checkpoint
    #   orbax-export
psutil==7.2.2
    # via
    #   accelerate
    #   ipykernel
    #   orbax-checkpoint
ptyprocess==0.7.0
    # via
    #   pexpect
    #   terminado
pure-eval==0.2.3
    # via stack-data
pyarrow==23.0.1
    # via -r requirements.in
pyclipper==1.4.0
    # via rapidocr
pycparser==3.0
    # via cffi
pydantic==2.12.5
    # via
    #   docling
    #   docling-core
    #   docling-ibm-models
    #   docling-parse
    #   pydantic-settings
pydantic-core==2.41.5
    # via pydantic
pydantic-settings==2.13.1
    # via docling
pygments==2.20.0
    # via
    #   ipython
    #   ipython-pygments-lexers
    #   mpire
    #   nbconvert
    #   rich
pylatexenc==2.10
    # via docling
pyparsing==3.3.2
    # via matplotlib
pypdfium2==5.5.0
    # via docling
python-dateutil==2.9.0.post0
    # via
    #   arrow
    #   jupyter-client
    #   matplotlib
    #   pandas
    #   python-fasthtml
python-docx==1.2.0
    # via docling
python-dotenv==1.2.2
    # via
    #   pydantic-settings
    #   uvicorn
python-fasthtml==0.12.47
    # via fastprogress
python-json-logger==4.0.0
    # via jupyter-events
python-multipart==0.0.27
    # via python-fasthtml
python-pptx==1.0.2
    # via docling
pytz==2025.2
    # via pandas
pyyaml==6.0.3
    # via
    #   -r requirements.in
    #   accelerate
    #   docling-core
    #   flax
    #   huggingface-hub
    #   jupyter-events
    #   omegaconf
    #   orbax-checkpoint
    #   rapidocr
    #   transformers
    #   uvicorn
pyzmq==27.1.0
    # via
    #   ipykernel
    #   jupyter-client
    #   jupyter-server
rapidocr==3.6.0
    # via docling
referencing==0.37.0
    # via
    #   jsonschema
    #   jsonschema-specifications
    #   jupyter-events
regex==2026.2.19
    # via transformers
requests==2.33.0
    # via
    #   docling
    #   huggingface-hub
    #   jupyterlab-server
    #   rapidocr
    #   transformers
rfc3339-validator==0.1.4
    # via
    #   jsonschema
    #   jupyter-events
rfc3986-validator==0.1.1
    # via
    #   jsonschema
    #   jupyter-events
rfc3987-syntax==1.1.0
    # via jsonschema
rich==14.3.3
    # via
    #   flax
    #   typer
rpds-py==0.30.0
    # via
    #   jsonschema
    #   referencing
rtree==1.4.1
    # via
    #   docling
    #   docling-ibm-models
safetensors[numpy,torch]==0.7.0
    # via
    #   accelerate
    #   docling-ibm-models
    #   transformers
scikit-learn==1.8.0
    # via -r requirements.in
scipy==1.17.0
    # via
    #   arviz
    #   docling
    #   jax
    #   jaxlib
    #   jaxopt
    #   scikit-learn
    #   xarray-einstats
semchunk==2.2.2
    # via docling-core
send2trash==2.1.0
    # via jupyter-server
shapely==2.1.2
    # via rapidocr
shellingham==1.5.4
    # via typer
simplejson==3.20.2
    # via orbax-checkpoint
six==1.17.0
    # via
    #   python-dateutil
    #   rapidocr
    #   rfc3339-validator
    #   tfp-nightly
soupsieve==2.8.3
    # via beautifulsoup4
stack-data==0.6.3
    # via ipython
stanio==0.5.1
    # via cmdstanpy
starlette==0.52.1
    # via python-fasthtml
sympy==1.14.0
    # via torch
tabulate==0.9.0
    # via
    #   docling-core
    #   docling-parse
tensorstore==0.1.81
    # via
    #   flax
    #   orbax-checkpoint
terminado==0.18.1
    # via
    #   jupyter-server
    #   jupyter-server-terminals
tfp-nightly[jax]==0.26.0.dev20260222
    # via -r requirements.in
threadpoolctl==3.6.0
    # via scikit-learn
tinycss2==1.4.0
    # via bleach
tokenizers==0.22.2
    # via transformers
toolz==1.1.0
    # via chex
torch==2.10.0
    # via
    #   accelerate
    #   docling-ibm-models
    #   safetensors
    #   torchvision
torchvision==0.25.0
    # via docling-ibm-models
tornado==6.5.5
    # via
    #   ipykernel
    #   jupyter-client
    #   jupyter-server
    #   jupyterlab
    #   notebook
    #   terminado
tqdm==4.67.3
    # via
    #   -r requirements.in
    #   cmdstanpy
    #   docling
    #   docling-ibm-models
    #   huggingface-hub
    #   mpire
    #   rapidocr
    #   semchunk
    #   transformers
traitlets==5.14.3
    # via
    #   ipykernel
    #   ipython
    #   jupyter-client
    #   jupyter-core
    #   jupyter-events
    #   jupyter-server
    #   jupyterlab
    #   matplotlib-inline
    #   nbclient
    #   nbconvert
    #   nbformat
transformers==4.57.6
    # via
    #   docling-core
    #   docling-ibm-models
tree-sitter==0.25.2
    # via docling-core
tree-sitter-c==0.24.1
    # via docling-core
tree-sitter-javascript==0.25.0
    # via docling-core
tree-sitter-python==0.25.0
    # via docling-core
tree-sitter-typescript==0.23.2
    # via docling-core
treescope==0.1.10
    # via flax
triton==3.6.0
    # via torch
typer==0.21.2
    # via
    #   docling
    #   docling-core
typing-extensions==4.15.0
    # via
    #   arviz
    #   beautifulsoup4
    #   blackjax
    #   chex
    #   docling-core
    #   etils
    #   flax
    #   huggingface-hub
    #   orbax-checkpoint
    #   polyfactory
    #   pydantic
    #   pydantic-core
    #   python-docx
    #   python-pptx
    #   torch
    #   typing-inspect
    #   typing-inspection
typing-inspect==0.9.0
    # via dataclasses-json
typing-inspection==0.4.2
    # via
    #   pydantic
    #   pydantic-settings
tzdata==2025.3
    # via
    #   arrow
    #   pandas
uri-template==1.3.0
    # via jsonschema
urllib3==2.7.0
    # via requests
uvicorn[standard]==0.41.0
    # via python-fasthtml
uvloop==0.22.1
    # via
    #   orbax-checkpoint
    #   uvicorn
wadler-lindig==0.1.7
    # via jaxtyping
watchfiles==1.1.1
    # via uvicorn
wcwidth==0.6.0
    # via prompt-toolkit
webcolors==25.10.0
    # via jsonschema
webencodings==0.5.1
    # via
    #   bleach
    #   tinycss2
websocket-client==1.9.0
    # via jupyter-server
websockets==16.0
    # via uvicorn
wrapt==2.1.1
    # via dm-tree
xarray==2026.2.0
    # via
    #   -r requirements.in
    #   arviz
    #   xarray-einstats
xarray-einstats==0.10.0
    # via arviz
xlsxwriter==3.2.9
    # via python-pptx
zipp==3.23.0
    # via etils

# The following packages are considered to be unsafe in a requirements file:
# setuptools
