requirements-dev.lock

# 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

-e file:.
aiohappyeyeballs==2.4.0
    # via aiohttp
aiohttp==3.10.5
    # via torch-geometric
aiosignal==1.3.1
    # via aiohttp
alembic==1.13.2
    # via mlflow
aniso8601==9.0.1
    # via graphene
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 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 nbconvert
bleach==6.1.0
    # via nbconvert
blinker==1.8.2
    # via flask
cachetools==5.5.0
    # via google-auth
    # via mlflow-skinny
certifi==2024.8.30
    # via httpcore
    # via httpx
    # via requests
cffi==1.17.1
    # via argon2-cffi-bindings
charset-normalizer==3.3.2
    # via requests
click==8.1.7
    # via flask
    # via mlflow-skinny
    # via ngmb
cloudpickle==3.0.0
    # via mlflow-skinny
comm==0.2.2
    # via ipykernel
contourpy==1.3.0
    # via matplotlib
cycler==0.12.1
    # via matplotlib
databricks-sdk==0.32.0
    # via mlflow-skinny
debugpy==1.8.5
    # via ipykernel
decorator==5.1.1
    # via ipython
defusedxml==0.7.1
    # via nbconvert
deprecated==1.2.14
    # via opentelemetry-api
    # via opentelemetry-semantic-conventions
docker==7.1.0
    # via mlflow
executing==2.1.0
    # via stack-data
fastjsonschema==2.20.0
    # via nbformat
filelock==3.15.4
    # via torch
    # via triton
flask==3.0.3
    # via mlflow
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 torch
    # via torch-geometric
gitdb==4.0.11
    # via gitpython
gitpython==3.1.43
    # via mlflow-skinny
google-auth==2.34.0
    # via databricks-sdk
graphene==3.3
    # via mlflow
graphql-core==3.2.4
    # via graphene
    # via graphql-relay
graphql-relay==3.2.0
    # via graphene
graphviz==0.20.3
    # via ngmb
greenlet==3.0.3
    # via sqlalchemy
gunicorn==23.0.0
    # via mlflow
h11==0.14.0
    # via httpcore
httpcore==1.0.5
    # via httpx
httpx==0.27.2
    # via jupyterlab
idna==3.8
    # via anyio
    # via httpx
    # via jsonschema
    # via requests
    # via yarl
importlib-metadata==8.4.0
    # via mlflow-skinny
    # via opentelemetry-api
ipykernel==6.29.5
    # via jupyterlab
ipython==8.27.0
    # via ipykernel
isoduration==20.11.0
    # via jsonschema
itsdangerous==2.2.0
    # via flask
jedi==0.19.1
    # via ipython
jinja2==3.1.4
    # via flask
    # via jupyter-server
    # via jupyterlab
    # via jupyterlab-server
    # via mlflow
    # via nbconvert
    # via torch
    # via torch-geometric
joblib==1.4.2
    # via scikit-learn
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-client==8.6.2
    # via ipykernel
    # via jupyter-server
    # via nbclient
jupyter-core==5.7.2
    # via ipykernel
    # via jupyter-client
    # 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 notebook
jupyterlab-pygments==0.3.0
    # via nbconvert
jupyterlab-server==2.27.3
    # via jupyterlab
    # via notebook
kiwisolver==1.4.7
    # via matplotlib
littleutils==0.2.4
    # via outdated
mako==1.3.5
    # via alembic
markdown==3.7
    # via mlflow
markupsafe==2.1.5
    # via jinja2
    # via mako
    # via nbconvert
    # via werkzeug
matplotlib==3.9.2
    # via mlflow
matplotlib-inline==0.1.7
    # via ipykernel
    # via ipython
mistune==3.0.2
    # via nbconvert
mlflow==2.16.0
    # via ngmb
mlflow-skinny==2.16.0
    # via mlflow
mpmath==1.3.0
    # via sympy
multidict==6.0.5
    # via aiohttp
    # via yarl
nbclient==0.10.0
    # via nbconvert
nbconvert==7.16.4
    # via jupyter-server
nbformat==5.10.4
    # via jupyter-server
    # via nbclient
    # via nbconvert
nest-asyncio==1.6.0
    # via ipykernel
networkx==3.3
    # via torch
notebook==7.2.2
notebook-shim==0.2.4
    # via jupyterlab
    # via notebook
numpy==2.1.1
    # via contourpy
    # via matplotlib
    # via mlflow
    # via ngmb
    # via ogb
    # via pandas
    # via pyarrow
    # via rdkit
    # via scikit-learn
    # via scipy
    # via torch-geometric
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
ogb==1.3.6
    # via ngmb
opentelemetry-api==1.27.0
    # via mlflow-skinny
    # via opentelemetry-sdk
    # via opentelemetry-semantic-conventions
opentelemetry-sdk==1.27.0
    # via mlflow-skinny
opentelemetry-semantic-conventions==0.48b0
    # via opentelemetry-sdk
outdated==0.2.2
    # via ogb
overrides==7.7.0
    # via jupyter-server
packaging==24.1
    # via gunicorn
    # via ipykernel
    # via jupyter-server
    # via jupyterlab
    # via jupyterlab-server
    # via matplotlib
    # via mlflow-skinny
    # via nbconvert
pandas==2.2.2
    # via mlflow
    # via ogb
pandocfilters==1.5.1
    # via nbconvert
parso==0.8.4
    # via jedi
pexpect==4.9.0
    # via ipython
pillow==10.4.0
    # via matplotlib
    # via rdkit
platformdirs==4.2.2
    # via jupyter-core
prometheus-client==0.20.0
    # via jupyter-server
prompt-toolkit==3.0.47
    # via ipython
protobuf==5.28.0
    # via mlflow-skinny
psutil==6.0.0
    # via ipykernel
    # via torch-geometric
ptyprocess==0.7.0
    # via pexpect
    # via terminado
pure-eval==0.2.3
    # via stack-data
pyarrow==17.0.0
    # via mlflow
pyasn1==0.6.0
    # via pyasn1-modules
    # via rsa
pyasn1-modules==0.4.0
    # via google-auth
pycparser==2.22
    # via cffi
pygments==2.18.0
    # via ipython
    # via nbconvert
pynvml==11.5.3
    # via ngmb
pyparsing==3.1.4
    # via matplotlib
    # via torch-geometric
python-dateutil==2.9.0.post0
    # via arrow
    # via jupyter-client
    # via matplotlib
    # via pandas
python-json-logger==2.0.7
    # via jupyter-events
pytz==2024.1
    # via pandas
pyyaml==6.0.2
    # via jupyter-events
    # via mlflow-skinny
pyzmq==26.2.0
    # via ipykernel
    # via jupyter-client
    # via jupyter-server
rdkit==2024.3.5
    # via ngmb
referencing==0.35.1
    # via jsonschema
    # via jsonschema-specifications
    # via jupyter-events
requests==2.32.3
    # via databricks-sdk
    # via docker
    # via jupyterlab-server
    # via mlflow-skinny
    # via outdated
    # via torch-geometric
rfc3339-validator==0.1.4
    # via jsonschema
    # via jupyter-events
rfc3986-validator==0.1.1
    # via jsonschema
    # via jupyter-events
rpds-py==0.20.0
    # via jsonschema
    # via referencing
rsa==4.9
    # via google-auth
ruff==0.6.4
safetensors==0.4.5
    # via ngmb
scikit-learn==1.5.1
    # via mlflow
    # via ogb
    # via torch-geometric
scipy==1.14.1
    # via mlflow
    # via ngmb
    # via scikit-learn
    # via torch-geometric
send2trash==1.8.3
    # via jupyter-server
setuptools==74.1.2
    # via jupyterlab
    # via ngmb
    # via outdated
six==1.16.0
    # via asttokens
    # via bleach
    # via ogb
    # via python-dateutil
    # via rfc3339-validator
smmap==5.0.1
    # via gitdb
sniffio==1.3.1
    # via anyio
    # via httpx
soupsieve==2.6
    # via beautifulsoup4
sqlalchemy==2.0.34
    # via alembic
    # via mlflow
sqlparse==0.5.1
    # via mlflow-skinny
stack-data==0.6.3
    # via ipython
sympy==1.13.2
    # via torch
terminado==0.18.1
    # via jupyter-server
    # via jupyter-server-terminals
threadpoolctl==3.5.0
    # via scikit-learn
tinycss2==1.3.0
    # via nbconvert
torch==2.4.1
    # via ngmb
    # via ogb
torch-geometric==2.5.3
    # via ngmb
tornado==6.4.1
    # via ipykernel
    # via jupyter-client
    # via jupyter-server
    # via jupyterlab
    # via notebook
    # via terminado
tqdm==4.66.5
    # via ogb
    # via torch-geometric
traitlets==5.14.3
    # via comm
    # via ipykernel
    # via ipython
    # via jupyter-client
    # 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
types-python-dateutil==2.9.0.20240906
    # via arrow
typing-extensions==4.12.2
    # via alembic
    # via ipython
    # via opentelemetry-sdk
    # via sqlalchemy
    # via torch
tzdata==2024.1
    # via pandas
uri-template==1.3.0
    # via jsonschema
urllib3==2.2.2
    # via docker
    # via ogb
    # via requests
wcwidth==0.2.13
    # 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 flask
wrapt==1.16.0
    # via deprecated
yarl==1.9.11
    # via aiohttp
zipp==3.20.1
    # via importlib-metadata