requirements.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: true
#   with-sources: false

-e file:.
absl-py==2.1.0
    # via chex
    # via einshape
    # via optax
    # via timesfm
adagio==0.2.6
    # via fugue
adbc-driver-manager==1.2.0
    # via adbc-driver-sqlite
    # via polars
adbc-driver-sqlite==1.2.0
    # via polars
aiofiles==24.1.0
    # via kedro-viz
aiohappyeyeballs==2.4.3
    # via aiohttp
aiohttp==3.10.9
    # via aiohttp-cors
    # via fsspec
    # via ray
aiohttp-cors==0.7.0
    # via ray
aiosignal==1.3.1
    # via aiohttp
    # via ray
alembic==1.13.3
    # via optuna
altair==5.4.1
    # via altair-tiles
    # via polars
    # via streamlit
    # via vegafusion
    # via vn1-sales-forecast
altair-tiles==0.3.0
    # via altair
annotated-types==0.7.0
    # via pydantic
antlr4-python3-runtime==4.9.3
    # via omegaconf
antropy==0.1.6
    # via tsfeatures
anyio==3.7.1
    # via starlette
    # via watchfiles
    # via watchgod
anywidget==0.9.13
    # via altair
appdirs==1.4.4
    # via fs
    # via kedro-telemetry
arch==7.1.0
    # via tsfeatures
arrow==1.3.0
    # via cookiecutter
asttokens==2.4.1
    # via stack-data
async-timeout==4.0.3
    # via aiohttp
attrs==24.2.0
    # via aiohttp
    # via jsonschema
    # via kedro
    # via referencing
babel==2.16.0
    # via great-tables
binaryornot==0.4.4
    # via cookiecutter
blinker==1.8.2
    # via streamlit
bottle==0.13.1
    # via optuna-dashboard
build==1.2.2.post1
    # via kedro
cachetools==5.5.0
    # via google-auth
    # via kedro
    # via streamlit
certifi==2024.8.30
    # via requests
    # via sentry-sdk
chardet==5.2.0
    # via binaryornot
charset-normalizer==3.3.2
    # via requests
chex==0.1.87
    # via optax
click==8.1.7
    # via click-default-group
    # via cookiecutter
    # via kedro
    # via mercantile
    # via pyiceberg
    # via ray
    # via streamlit
    # via typer
    # via uvicorn
    # via wandb
click-default-group==1.2.4
    # via kedro-viz
cloudpickle==3.0.0
    # via hyperopt
    # via mlforecast
    # via polars
    # via statsforecast
colorful==0.5.6
    # via ray
colorlog==6.8.2
    # via optuna
comm==0.2.2
    # via ipywidgets
commonmark==0.9.1
    # via great-tables
connectorx==0.3.3
    # via polars
contourpy==1.3.0
    # via matplotlib
cookiecutter==2.6.0
    # via kedro
coreforecast==0.0.12
    # via mlforecast
    # via neuralforecast
    # via statsforecast
cycler==0.12.1
    # via matplotlib
decorator==5.1.1
    # via ipython
deltalake==0.20.2
    # via polars
distlib==0.3.9
    # via virtualenv
docker-pycreds==0.4.0
    # via wandb
dynaconf==3.2.6
    # via kedro
einshape==1.0
    # via timesfm
et-xmlfile==1.1.0
    # via openpyxl
etils==1.9.4
    # via optax
exceptiongroup==1.2.2
    # via anyio
    # via ipython
executing==2.1.0
    # via stack-data
fastapi==0.115.0
    # via kedro-viz
fastexcel==0.11.6
    # via polars
filelock==3.16.1
    # via huggingface-hub
    # via ray
    # via torch
    # via virtualenv
fonttools==4.54.1
    # via matplotlib
frozenlist==1.4.1
    # via aiohttp
    # via aiosignal
    # via ray
fs==2.4.16
    # via triad
fsspec==2024.9.0
    # via huggingface-hub
    # via kedro
    # via kedro-viz
    # via mlforecast
    # via neuralforecast
    # via polars
    # via pyiceberg
    # via pytorch-lightning
    # via ray
    # via torch
    # via triad
fugue==0.9.1
    # via statsforecast
future==1.0.0
    # via hyperopt
gevent==24.2.1
    # via polars
gitdb==4.0.11
    # via gitpython
gitpython==3.1.43
    # via kedro
    # via streamlit
    # via wandb
google-api-core==2.21.0
    # via opencensus
google-auth==2.35.0
    # via google-api-core
googleapis-common-protos==1.65.0
    # via google-api-core
graphql-core==3.2.4
    # via strawberry-graphql
great-tables==0.13.0
    # via polars
greenlet==3.1.1
    # via gevent
grpcio==1.66.2
    # via ray
h11==0.14.0
    # via uvicorn
hierarchicalforecast==0.4.2
    # via vn1-sales-forecast
holidays==0.58
    # via vn1-sales-forecast
htmltools==0.5.3
    # via great-tables
httptools==0.6.1
    # via uvicorn
huggingface-hub==0.25.1
    # via timesfm
hyperopt==0.2.7
    # via vn1-sales-forecast
idna==3.10
    # via anyio
    # via requests
    # via yarl
importlib-metadata==8.5.0
    # via great-tables
    # via kedro
importlib-resources==6.4.5
    # via adbc-driver-sqlite
    # via great-tables
    # via kedro
inquirerpy==0.3.4
    # via huggingface-hub
ipython==8.28.0
    # via ipywidgets
    # via kedro-viz
    # via timesfm
ipywidgets==8.1.5
    # via anywidget
jax==0.4.34
    # via chex
    # via optax
    # via vn1-sales-forecast
jaxlib==0.4.34
    # via chex
    # via jax
    # via optax
jedi==0.19.1
    # via ipython
jinja2==3.1.4
    # via altair
    # via cookiecutter
    # via memray
    # via pydeck
    # via torch
joblib==1.4.2
    # via scikit-learn
jsonschema==4.23.0
    # via altair
    # via ray
jsonschema-specifications==2024.10.1
    # via jsonschema
jupyterlab-widgets==3.0.13
    # via ipywidgets
kedro==0.19.8
    # via kedro-datasets
    # via kedro-telemetry
    # via kedro-viz
    # via vn1-sales-forecast
kedro-datasets==4.1.0
    # via vn1-sales-forecast
kedro-telemetry==0.6.1
    # via kedro
kedro-viz==10.0.0
    # via vn1-sales-forecast
kiwisolver==1.4.7
    # via matplotlib
lazy-loader==0.4
    # via kedro-datasets
lightgbm==4.5.0
    # via vn1-sales-forecast
lightning-utilities==0.11.7
    # via pytorch-lightning
    # via torchmetrics
linkify-it-py==2.0.3
    # via markdown-it-py
llvmlite==0.43.0
    # via numba
mako==1.3.5
    # via alembic
markdown-it-py==3.0.0
    # via mdit-py-plugins
    # via rich
    # via textual
markupsafe==3.0.1
    # via jinja2
    # via mako
matplotlib==3.9.2
    # via hierarchicalforecast
    # via polars
    # via seaborn
matplotlib-inline==0.1.7
    # via ipython
mdit-py-plugins==0.4.2
    # via markdown-it-py
mdurl==0.1.2
    # via markdown-it-py
memray==1.14.0
    # via ray
mercantile==1.2.1
    # via altair-tiles
ml-dtypes==0.5.0
    # via jax
    # via jaxlib
mlforecast==0.13.4
    # via vn1-sales-forecast
mmh3==4.1.0
    # via pyiceberg
more-itertools==10.5.0
    # via kedro
mpmath==1.3.0
    # via sympy
msgpack==1.1.0
    # via ray
multidict==6.1.0
    # via aiohttp
    # via yarl
narwhals==1.9.1
    # via altair
    # via scikit-lego
nest-asyncio==1.6.0
    # via polars
networkx==3.3
    # via hyperopt
    # via kedro-viz
    # via torch
neuralforecast==1.7.5
    # via vn1-sales-forecast
numba==0.60.0
    # via antropy
    # via hierarchicalforecast
    # via mlforecast
    # via statsforecast
    # via window-ops
numpy==2.0.2
    # via altair
    # via antropy
    # via arch
    # via chex
    # via contourpy
    # via coreforecast
    # via einshape
    # via great-tables
    # via hierarchicalforecast
    # via hyperopt
    # via jax
    # via jaxlib
    # via lightgbm
    # via matplotlib
    # via ml-dtypes
    # via neuralforecast
    # via numba
    # via optax
    # via optuna
    # via pandas
    # via patsy
    # via polars
    # via pyarrow
    # via pydeck
    # via quadprog
    # via ruptures
    # via scikit-learn
    # via scipy
    # via seaborn
    # via statsforecast
    # via statsmodels
    # via stochastic
    # via streamlit
    # via tensorboardx
    # via timesfm
    # via torchmetrics
    # via triad
    # via utilsforecast
    # via vn1-sales-forecast
    # via window-ops
    # via xgboost
omegaconf==2.3.0
    # via kedro
opencensus==0.11.4
    # via ray
opencensus-context==0.1.3
    # via opencensus
openpyxl==3.1.5
    # via polars
opt-einsum==3.4.0
    # via jax
optax==0.2.3
    # via vn1-sales-forecast
optuna==4.0.0
    # via mlforecast
    # via neuralforecast
    # via optuna-dashboard
    # via vn1-sales-forecast
optuna-dashboard==0.16.2
    # via vn1-sales-forecast
orjson==3.10.7
    # via kedro-viz
packaging==24.1
    # via altair
    # via build
    # via htmltools
    # via huggingface-hub
    # via kedro-viz
    # via lazy-loader
    # via lightning-utilities
    # via matplotlib
    # via mlforecast
    # via optuna
    # via optuna-dashboard
    # via plotly
    # via pytoolconfig
    # via pytorch-lightning
    # via ray
    # via statsmodels
    # via streamlit
    # via tensorboardx
    # via torchmetrics
    # via utilsforecast
pandas==2.2.3
    # via adbc-driver-manager
    # via adbc-driver-sqlite
    # via altair
    # via arch
    # via hierarchicalforecast
    # via kedro-viz
    # via mlforecast
    # via neuralforecast
    # via polars
    # via ray
    # via scikit-lego
    # via seaborn
    # via statsforecast
    # via statsmodels
    # via streamlit
    # via timesfm
    # via triad
    # via tsfeatures
    # via utilsforecast
    # via vega-datasets
    # via vegafusion
    # via vn1-sales-forecast
parse==1.20.2
    # via kedro
parso==0.8.4
    # via jedi
patsy==0.5.6
    # via statsmodels
pexpect==4.9.0
    # via ipython
pfzy==0.3.4
    # via inquirerpy
pillow==10.4.0
    # via matplotlib
    # via streamlit
platformdirs==4.3.6
    # via pytoolconfig
    # via textual
    # via virtualenv
    # via wandb
plotly==5.24.1
    # via kedro-viz
pluggy==1.5.0
    # via kedro
polars==1.9.0
    # via vn1-sales-forecast
pre-commit-hooks==5.0.0
    # via kedro
prometheus-client==0.21.0
    # via ray
prompt-toolkit==3.0.48
    # via inquirerpy
    # via ipython
propcache==0.2.0
    # via yarl
proto-plus==1.24.0
    # via google-api-core
protobuf==5.28.2
    # via google-api-core
    # via googleapis-common-protos
    # via proto-plus
    # via ray
    # via streamlit
    # via tensorboardx
    # via vegafusion
    # via wandb
psutil==6.0.0
    # via vegafusion
    # via wandb
psygnal==0.11.1
    # via anywidget
ptyprocess==0.7.0
    # via pexpect
pure-eval==0.2.3
    # via stack-data
py-spy==0.3.14
    # via ray
py4j==0.10.9.7
    # via hyperopt
pyarrow==17.0.0
    # via adbc-driver-manager
    # via adbc-driver-sqlite
    # via altair
    # via deltalake
    # via fastexcel
    # via polars
    # via ray
    # via streamlit
    # via triad
    # via vegafusion
pyasn1==0.6.1
    # via pyasn1-modules
    # via rsa
pyasn1-modules==0.4.1
    # via google-auth
pydantic==2.9.2
    # via fastapi
    # via kedro-viz
    # via polars
    # via pyiceberg
    # via ray
pydantic-core==2.23.4
    # via pydantic
pydeck==0.9.1
    # via streamlit
pygments==2.18.0
    # via ipython
    # via rich
pyiceberg==0.7.1
    # via polars
pyparsing==3.1.4
    # via matplotlib
    # via pyiceberg
pyproject-hooks==1.2.0
    # via build
python-dateutil==2.9.0.post0
    # via arrow
    # via holidays
    # via matplotlib
    # via pandas
    # via strawberry-graphql
    # via strictyaml
python-dotenv==1.0.1
    # via uvicorn
python-slugify==8.0.4
    # via cookiecutter
pytoolconfig==1.3.1
    # via rope
pytorch-lightning==2.4.0
    # via neuralforecast
pytz==2024.2
    # via pandas
pyyaml==6.0.2
    # via cookiecutter
    # via huggingface-hub
    # via kedro
    # via omegaconf
    # via optuna
    # via pytorch-lightning
    # via ray
    # via uvicorn
    # via wandb
quadprog==0.1.12
    # via hierarchicalforecast
ray==2.37.0
    # via neuralforecast
    # via vn1-sales-forecast
referencing==0.35.1
    # via jsonschema
    # via jsonschema-specifications
requests==2.32.3
    # via cookiecutter
    # via google-api-core
    # via huggingface-hub
    # via kedro-telemetry
    # via pyiceberg
    # via ray
    # via streamlit
    # via wandb
rich==13.9.2
    # via cookiecutter
    # via kedro
    # via memray
    # via pyiceberg
    # via streamlit
    # via textual
    # via typer
rope==1.13.0
    # via kedro
rpds-py==0.20.0
    # via jsonschema
    # via referencing
rsa==4.9
    # via google-auth
ruamel-yaml==0.18.6
    # via pre-commit-hooks
ruamel-yaml-clib==0.2.8
    # via ruamel-yaml
ruptures==1.1.9
    # via vn1-sales-forecast
scikit-learn==1.5.2
    # via antropy
    # via hierarchicalforecast
    # via mlforecast
    # via optuna-dashboard
    # via scikit-lego
    # via timesfm
    # via tsfeatures
    # via vn1-sales-forecast
scikit-lego==0.9.1
    # via vn1-sales-forecast
scipy==1.14.1
    # via antropy
    # via arch
    # via hyperopt
    # via jax
    # via jaxlib
    # via lightgbm
    # via ruptures
    # via scikit-learn
    # via statsforecast
    # via statsmodels
    # via stochastic
    # via xgboost
seaborn==0.13.2
    # via vn1-sales-forecast
secure==1.0.0
    # via kedro-viz
sentry-sdk==2.16.0
    # via wandb
setproctitle==1.3.3
    # via wandb
setuptools==75.1.0
    # via fs
    # via lightning-utilities
    # via wandb
    # via zope-event
    # via zope-interface
shellingham==1.5.4
    # via typer
six==1.16.0
    # via asttokens
    # via docker-pycreds
    # via fs
    # via hyperopt
    # via opencensus
    # via patsy
    # via python-dateutil
    # via triad
smart-open==7.0.5
    # via ray
smmap==5.0.1
    # via gitdb
sniffio==1.3.1
    # via anyio
sortedcontainers==2.4.0
    # via pyiceberg
sqlalchemy==2.0.35
    # via alembic
    # via kedro-viz
    # via optuna
    # via polars
stack-data==0.6.3
    # via ipython
starlette==0.38.6
    # via fastapi
statsforecast==1.7.8
    # via vn1-sales-forecast
statsmodels==0.14.4
    # via arch
    # via statsforecast
    # via tsfeatures
stochastic==0.4.0
    # via antropy
strawberry-graphql==0.246.0
    # via kedro-viz
streamlit==1.39.0
    # via vn1-sales-forecast
strictyaml==1.7.3
    # via pyiceberg
supersmoother==0.4
    # via tsfeatures
sympy==1.13.3
    # via torch
tenacity==8.5.0
    # via plotly
    # via pyiceberg
    # via streamlit
tensorboardx==2.6.2.2
    # via ray
text-unidecode==1.3
    # via python-slugify
textual==0.83.0
    # via memray
threadpoolctl==3.5.0
    # via scikit-learn
    # via statsforecast
timesfm @ git+https://github.com/google-research/timesfm.git@6234168fe942748dd945fe9a63c5948f4c77abd3
    # via vn1-sales-forecast
toml==0.10.2
    # via kedro
    # via streamlit
tomli==2.0.2
    # via build
    # via pre-commit-hooks
    # via pytoolconfig
toolz==1.0.0
    # via chex
torch==2.4.1
    # via neuralforecast
    # via pytorch-lightning
    # via torchmetrics
torchmetrics==1.4.2
    # via pytorch-lightning
tornado==6.4.1
    # via streamlit
tqdm==4.66.5
    # via hierarchicalforecast
    # via huggingface-hub
    # via hyperopt
    # via optuna
    # via pytorch-lightning
    # via statsforecast
    # via vn1-sales-forecast
traitlets==5.14.3
    # via comm
    # via ipython
    # via ipywidgets
    # via matplotlib-inline
triad==0.9.8
    # via adagio
    # via fugue
tsfeatures==0.4.5
    # via vn1-sales-forecast
typer==0.12.5
    # via timesfm
types-python-dateutil==2.9.0.20241003
    # via arrow
typing-extensions==4.12.2
    # via adbc-driver-manager
    # via alembic
    # via altair
    # via anywidget
    # via chex
    # via etils
    # via fastapi
    # via great-tables
    # via htmltools
    # via huggingface-hub
    # via ipython
    # via kedro
    # via lightning-utilities
    # via multidict
    # via pydantic
    # via pydantic-core
    # via pytorch-lightning
    # via rich
    # via sqlalchemy
    # via strawberry-graphql
    # via streamlit
    # via textual
    # via torch
    # via typer
    # via uvicorn
tzdata==2024.2
    # via pandas
uc-micro-py==1.0.3
    # via linkify-it-py
urllib3==2.2.3
    # via requests
    # via sentry-sdk
utilsforecast==0.2.5
    # via mlforecast
    # via neuralforecast
    # via statsforecast
    # via timesfm
uvicorn==0.31.0
    # via kedro-viz
uvloop==0.20.0
    # via uvicorn
vega-datasets==0.9.0
    # via altair
vegafusion==1.6.9
    # via altair
vegafusion-python-embed==1.6.9
    # via vegafusion
virtualenv==20.26.6
    # via ray
vl-convert-python==1.7.0
    # via altair
    # via vegafusion
wandb==0.18.3
    # via timesfm
watchdog==5.0.3
    # via vn1-sales-forecast
watchfiles==0.24.0
    # via uvicorn
watchgod==0.8.2
    # via kedro-viz
wcwidth==0.2.13
    # via prompt-toolkit
websockets==13.1
    # via uvicorn
widgetsnbextension==4.0.13
    # via ipywidgets
window-ops==0.0.15
    # via mlforecast
wrapt==1.16.0
    # via smart-open
xgboost==2.1.1
    # via vn1-sales-forecast
xlsx2csv==0.8.3
    # via polars
xlsxwriter==3.2.0
    # via polars
xyzservices==2024.9.0
    # via altair-tiles
yarl==1.14.0
    # via aiohttp
zipp==3.20.2
    # via importlib-metadata
zope-event==5.0
    # via gevent
zope-interface==7.0.3
    # via gevent