# generated by rye
# use `rye lock` or `rye sync` to update this lockfile
#
# last locked with the following flags:
#   pre: false
#   features: []
#   all-features: false
#   with-sources: false
#   generate-hashes: false

-e file:.
about-time==4.2.1
    # via alive-progress
absl-py==2.1.0
    # via tensorboard
aenum==3.1.12
    # via euporie
aiohappyeyeballs==2.4.0
    # via aiohttp
aiohttp==3.10.5
    # via fsspec
aiosignal==1.3.1
    # via aiohttp
alembic==1.13.2
    # via optuna
alive-progress==3.1.5
    # via symbolic-nn-tests
anyio==4.4.0
    # via httpx
    # via jupyter-server
argon2-cffi==23.1.0
    # via jupyter-server
argon2-cffi-bindings==21.2.0
    # via argon2-cffi
arrow==1.3.0
    # via isoduration
asttokens==2.4.1
    # via snoop
    # via stack-data
async-lru==2.0.4
    # via jupyterlab
attrs==24.2.0
    # via aiohttp
    # via jsonschema
    # via referencing
babel==2.16.0
    # via jupyterlab-server
beautifulsoup4==4.12.3
    # via gdown
    # via nbconvert
bleach==6.1.0
    # via kaggle
    # via nbconvert
    # via panel
blessed==1.20.0
    # via curtsies
bokeh==3.4.3
    # via holoviews
    # via hvplot
    # via panel
bpython==0.24
    # via symbolic-nn-tests
certifi==2024.8.30
    # via httpcore
    # via httpx
    # via kaggle
    # via requests
    # via sentry-sdk
cffi==1.17.1
    # via argon2-cffi-bindings
charset-normalizer==3.3.2
    # via requests
cheap-repr==0.5.2
    # via snoop
click==8.1.7
    # via typer
    # via wandb
colorcet==3.1.0
    # via holoviews
    # via hvplot
colorlog==6.8.2
    # via optuna
comm==0.2.2
    # via ipykernel
    # via ipywidgets
contourpy==1.3.0
    # via bokeh
    # via matplotlib
curtsies==0.4.2
    # via bpython
cwcwidth==0.1.9
    # via bpython
    # via curtsies
cycler==0.12.1
    # via matplotlib
dataclasses-json==0.6.7
    # via periodic-table-dataclasses
debugpy==1.8.5
    # via ipykernel
decorator==5.1.1
    # via ipython
defusedxml==0.7.1
    # via nbconvert
docker-pycreds==0.4.0
    # via wandb
euporie==2.8.2
    # via symbolic-nn-tests
executing==2.1.0
    # via snoop
    # via stack-data
fastjsonschema==2.20.0
    # via euporie
    # via nbformat
filelock==3.16.0
    # via gdown
    # via torch
    # via triton
flatlatex==0.15
    # via euporie
fonttools==4.53.1
    # via matplotlib
fqdn==1.5.1
    # via jsonschema
frozenlist==1.4.1
    # via aiohttp
    # via aiosignal
fsspec==2024.9.0
    # via euporie
    # via lightning
    # via pytorch-lightning
    # via torch
    # via universal-pathlib
gdown==5.2.0
    # via symbolic-nn-tests
gitdb==4.0.11
    # via gitpython
gitpython==3.1.43
    # via wandb
grapheme==0.6.0
    # via alive-progress
greenlet==3.1.0
    # via bpython
    # via sqlalchemy
grpcio==1.66.1
    # via tensorboard
h11==0.14.0
    # via httpcore
holoviews==1.19.1
    # via hvplot
httpcore==1.0.5
    # via httpx
httpx==0.27.2
    # via jupyterlab
hvplot==0.10.0
    # via symbolic-nn-tests
idna==3.8
    # via anyio
    # via httpx
    # via jsonschema
    # via requests
    # via yarl
imagesize==1.4.1
    # via euporie
ipykernel==6.29.5
    # via jupyter
    # via jupyter-console
    # via jupyterlab
    # via symbolic-nn-tests
ipython==8.27.0
    # via ipykernel
    # via ipywidgets
    # via jupyter-console
    # via symbolic-nn-tests
ipywidgets==8.1.5
    # via jupyter
isoduration==20.11.0
    # via jsonschema
jedi==0.19.1
    # via ipython
jinja2==3.1.4
    # via bokeh
    # via jupyter-server
    # via jupyterlab
    # via jupyterlab-server
    # via nbconvert
    # via torch
joblib==1.4.2
    # via scikit-learn
    # via scikit-optimize
json5==0.9.25
    # via jupyterlab-server
jsonpointer==3.0.0
    # via jsonschema
jsonschema==4.23.0
    # via jupyter-events
    # via jupyterlab-server
    # via nbformat
jsonschema-specifications==2023.12.1
    # via jsonschema
jupyter==1.1.1
    # via symbolic-nn-tests
jupyter-client==8.6.2
    # via euporie
    # via ipykernel
    # via jupyter-console
    # via jupyter-server
    # via nbclient
jupyter-console==6.6.3
    # via jupyter
jupyter-core==5.7.2
    # via ipykernel
    # via jupyter-client
    # via jupyter-console
    # via jupyter-server
    # via jupyterlab
    # via nbclient
    # via nbconvert
    # via nbformat
jupyter-events==0.10.0
    # via jupyter-server
jupyter-lsp==2.2.5
    # via jupyterlab
jupyter-server==2.14.2
    # via jupyter-lsp
    # via jupyterlab
    # via jupyterlab-server
    # via notebook
    # via notebook-shim
jupyter-server-terminals==0.5.3
    # via jupyter-server
jupyterlab==4.2.5
    # via jupyter
    # via notebook
jupyterlab-pygments==0.3.0
    # via nbconvert
jupyterlab-server==2.27.3
    # via jupyterlab
    # via notebook
jupyterlab-widgets==3.0.13
    # via ipywidgets
jupytext==1.16.4
    # via euporie
kaggle==1.6.17
    # via symbolic-nn-tests
kiwisolver==1.4.7
    # via matplotlib
lightning==2.4.0
    # via symbolic-nn-tests
lightning-utilities==0.11.7
    # via lightning
    # via pytorch-lightning
    # via torchmetrics
linkify-it-py==1.0.3
    # via euporie
    # via panel
loguru==0.7.2
    # via symbolic-nn-tests
mako==1.3.5
    # via alembic
markdown==3.7
    # via panel
    # via tensorboard
markdown-it-py==2.1.0
    # via euporie
    # via jupytext
    # via mdit-py-plugins
    # via panel
    # via rich
markupsafe==2.1.5
    # via jinja2
    # via mako
    # via nbconvert
    # via werkzeug
marshmallow==3.22.0
    # via dataclasses-json
matplotlib==3.9.2
    # via matplotlib-backend-kitty
matplotlib-backend-kitty==2.1.2
    # via symbolic-nn-tests
matplotlib-inline==0.1.7
    # via ipykernel
    # via ipython
mdit-py-plugins==0.3.5
    # via euporie
    # via jupytext
    # via panel
mdurl==0.1.2
    # via markdown-it-py
mistune==3.0.2
    # via nbconvert
mpmath==1.3.0
    # via sympy
multidict==6.1.0
    # via aiohttp
    # via yarl
mypy-extensions==1.0.0
    # via typing-inspect
nbclient==0.10.0
    # via nbconvert
nbconvert==7.16.4
    # via jupyter
    # via jupyter-server
nbformat==5.10.4
    # via euporie
    # via jupyter-server
    # via jupytext
    # via nbclient
    # via nbconvert
nest-asyncio==1.6.0
    # via ipykernel
networkx==3.3
    # via torch
notebook==7.2.2
    # via jupyter
notebook-shim==0.2.4
    # via jupyterlab
    # via notebook
numpy==2.1.1
    # via bokeh
    # via contourpy
    # via holoviews
    # via hvplot
    # via matplotlib
    # via optuna
    # via pandas
    # via pyarrow
    # via scikit-learn
    # via scikit-optimize
    # via scipy
    # via tensorboard
    # via torchmetrics
    # via torchvision
nvidia-cublas-cu12==12.1.3.1
    # via nvidia-cudnn-cu12
    # via nvidia-cusolver-cu12
    # via torch
nvidia-cuda-cupti-cu12==12.1.105
    # via torch
nvidia-cuda-nvrtc-cu12==12.1.105
    # via torch
nvidia-cuda-runtime-cu12==12.1.105
    # via torch
nvidia-cudnn-cu12==9.1.0.70
    # via torch
nvidia-cufft-cu12==11.0.2.54
    # via torch
nvidia-curand-cu12==10.3.2.106
    # via torch
nvidia-cusolver-cu12==11.4.5.107
    # via torch
nvidia-cusparse-cu12==12.1.0.106
    # via nvidia-cusolver-cu12
    # via torch
nvidia-nccl-cu12==2.20.5
    # via torch
nvidia-nvjitlink-cu12==12.6.68
    # via nvidia-cusolver-cu12
    # via nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
    # via torch
optuna==4.0.0
    # via symbolic-nn-tests
overrides==7.7.0
    # via jupyter-server
packaging==24.1
    # via bokeh
    # via holoviews
    # via hvplot
    # via ipykernel
    # via jupyter-server
    # via jupyterlab
    # via jupyterlab-server
    # via jupytext
    # via lightning
    # via lightning-utilities
    # via marshmallow
    # via matplotlib
    # via nbconvert
    # via optuna
    # via plotly
    # via pytorch-lightning
    # via scikit-optimize
    # via tensorboard
    # via torchmetrics
pandas==2.2.2
    # via bokeh
    # via holoviews
    # via hvplot
    # via panel
pandocfilters==1.5.1
    # via nbconvert
panel==1.4.5
    # via holoviews
    # via hvplot
param==2.1.1
    # via holoviews
    # via hvplot
    # via panel
    # via pyviz-comms
parso==0.8.4
    # via jedi
periodic-table-dataclasses==1.0
    # via symbolic-nn-tests
pexpect==4.9.0
    # via ipython
pillow==10.4.0
    # via bokeh
    # via euporie
    # via matplotlib
    # via timg
    # via torchvision
platformdirs==3.11.0
    # via euporie
    # via jupyter-core
    # via wandb
plotly==5.24.0
    # via symbolic-nn-tests
polars==1.6.0
    # via symbolic-nn-tests
prometheus-client==0.20.0
    # via jupyter-server
prompt-toolkit==3.0.47
    # via euporie
    # via ipython
    # via jupyter-console
protobuf==5.28.0
    # via tensorboard
    # via wandb
psutil==6.0.0
    # via ipykernel
    # via wandb
ptyprocess==0.7.0
    # via pexpect
    # via terminado
pure-eval==0.2.3
    # via stack-data
pyaml==24.7.0
    # via scikit-optimize
pyarrow==17.0.0
    # via symbolic-nn-tests
pycparser==2.22
    # via cffi
pygments==2.18.0
    # via bpython
    # via euporie
    # via ipython
    # via jupyter-console
    # via nbconvert
    # via rich
    # via snoop
pyparsing==3.1.4
    # via matplotlib
pyperclip==1.9.0
    # via euporie
pysocks==1.7.1
    # via requests
python-dateutil==2.9.0.post0
    # via arrow
    # via jupyter-client
    # via kaggle
    # via matplotlib
    # via pandas
python-json-logger==2.0.7
    # via jupyter-events
python-slugify==8.0.4
    # via kaggle
pytorch-lightning==2.4.0
    # via lightning
pytz==2024.2
    # via pandas
pyviz-comms==3.0.3
    # via holoviews
    # via panel
pyxdg==0.28
    # via bpython
pyyaml==6.0.2
    # via bokeh
    # via jupyter-events
    # via jupytext
    # via lightning
    # via optuna
    # via pyaml
    # via pytorch-lightning
    # via wandb
pyzmq==26.2.0
    # via ipykernel
    # via jupyter-client
    # via jupyter-console
    # via jupyter-server
referencing==0.35.1
    # via jsonschema
    # via jsonschema-specifications
    # via jupyter-events
regex==2024.7.24
    # via flatlatex
requests==2.32.3
    # via bpython
    # via gdown
    # via jupyterlab-server
    # via kaggle
    # via panel
    # via wandb
rfc3339-validator==0.1.4
    # via jsonschema
    # via jupyter-events
rfc3986-validator==0.1.1
    # via jsonschema
    # via jupyter-events
rich==13.3.1
    # via typer
rpds-py==0.20.0
    # via jsonschema
    # via referencing
safetensors==0.4.5
    # via symbolic-nn-tests
scikit-learn==1.5.1
    # via scikit-optimize
scikit-optimize==0.10.2
    # via symbolic-nn-tests
scipy==1.14.1
    # via scikit-learn
    # via scikit-optimize
send2trash==1.8.3
    # via jupyter-server
sentry-sdk==2.14.0
    # via wandb
setproctitle==1.3.3
    # via wandb
setuptools==74.1.2
    # via jupyterlab
    # via lightning-utilities
    # via symbolic-nn-tests
    # via tensorboard
    # via torch
    # via wandb
shellingham==1.5.4
    # via typer
six==1.16.0
    # via asttokens
    # via bleach
    # via blessed
    # via docker-pycreds
    # via kaggle
    # via python-dateutil
    # via rfc3339-validator
    # via snoop
    # via tensorboard
sixelcrop==0.1.7
    # via euporie
smmap==5.0.1
    # via gitdb
sniffio==1.3.1
    # via anyio
    # via httpx
snoop==0.4.3
    # via symbolic-nn-tests
soupsieve==2.6
    # via beautifulsoup4
sqlalchemy==2.0.34
    # via alembic
    # via optuna
stack-data==0.6.3
    # via ipython
sympy==1.13.2
    # via torch
tenacity==9.0.0
    # via plotly
tensorboard==2.17.1
    # via symbolic-nn-tests
tensorboard-data-server==0.7.2
    # via tensorboard
terminado==0.18.1
    # via jupyter-server
    # via jupyter-server-terminals
text-unidecode==1.3
    # via python-slugify
threadpoolctl==3.5.0
    # via scikit-learn
timg==1.1.6
    # via euporie
tinycss2==1.3.0
    # via nbconvert
torch==2.4.1
    # via lightning
    # via pytorch-lightning
    # via symbolic-nn-tests
    # via torchmetrics
    # via torchvision
torchmetrics==1.4.1
    # via lightning
    # via pytorch-lightning
torchvision==0.19.1
    # via symbolic-nn-tests
tornado==6.4.1
    # via bokeh
    # via ipykernel
    # via jupyter-client
    # via jupyter-server
    # via jupyterlab
    # via notebook
    # via terminado
tqdm==4.66.5
    # via gdown
    # via kaggle
    # via lightning
    # via optuna
    # via panel
    # via pytorch-lightning
traitlets==5.14.3
    # via comm
    # via ipykernel
    # via ipython
    # via ipywidgets
    # via jupyter-client
    # via jupyter-console
    # via jupyter-core
    # via jupyter-events
    # via jupyter-server
    # via jupyterlab
    # via matplotlib-inline
    # via nbclient
    # via nbconvert
    # via nbformat
triton==3.0.0
    # via torch
typer==0.12.5
    # via symbolic-nn-tests
types-python-dateutil==2.9.0.20240906
    # via arrow
typing-extensions==4.12.2
    # via alembic
    # via euporie
    # via lightning
    # via lightning-utilities
    # via panel
    # via pytorch-lightning
    # via sqlalchemy
    # via torch
    # via typer
    # via typing-inspect
typing-inspect==0.9.0
    # via dataclasses-json
tzdata==2024.1
    # via pandas
uc-micro-py==1.0.3
    # via linkify-it-py
universal-pathlib==0.2.5
    # via euporie
uri-template==1.3.0
    # via jsonschema
urllib3==2.2.2
    # via kaggle
    # via requests
    # via sentry-sdk
wandb==0.17.9
    # via symbolic-nn-tests
wcwidth==0.2.13
    # via blessed
    # via prompt-toolkit
webcolors==24.8.0
    # via jsonschema
webencodings==0.5.1
    # via bleach
    # via tinycss2
websocket-client==1.8.0
    # via jupyter-server
werkzeug==3.0.4
    # via tensorboard
widgetsnbextension==4.0.13
    # via ipywidgets
xyzservices==2024.9.0
    # via bokeh
    # via panel
yarl==1.11.1
    # via aiohttp