#
# This file is autogenerated by pip-compile with Python 3.11
# by the following command:
#
#    pip-compile --output-file=requirements.txt pyproject.toml
#
aiohttp==3.9.5
    # via
    #   fsspec
    #   torch-geometric
aiosignal==1.3.1
    # via
    #   aiohttp
    #   ray
alembic==1.13.2
    # via optuna
attrs==23.2.0
    # via
    #   aiohttp
    #   jsonschema
    #   referencing
beautifulsoup4==4.12.3
    # via yfinance
bleach==6.1.0
    # via kaggle
certifi==2024.7.4
    # via
    #   kaggle
    #   requests
    #   sentry-sdk
charset-normalizer==3.3.2
    # via requests
click==8.1.7
    # via
    #   fintorch (pyproject.toml)
    #   ray
    #   wandb
colorlog==6.8.2
    # via optuna
contourpy==1.2.1
    # via matplotlib
coreforecast==0.0.13.1
    # via neuralforecast
cycler==0.12.1
    # via matplotlib
docker-pycreds==0.4.0
    # via wandb
entmax==1.3
    # via fintorch (pyproject.toml)
filelock==3.15.4
    # via
    #   huggingface-hub
    #   ray
    #   torch
    #   triton
fonttools==4.53.1
    # via matplotlib
frozendict==2.4.4
    # via yfinance
frozenlist==1.4.1
    # via
    #   aiohttp
    #   aiosignal
    #   ray
fsspec[http]==2024.6.1
    # via
    #   huggingface-hub
    #   lightning
    #   neuralforecast
    #   pytorch-lightning
    #   ray
    #   torch
    #   torch-geometric
gitdb==4.0.11
    # via gitpython
gitpython==3.1.43
    # via wandb
greenlet==3.0.3
    # via sqlalchemy
html5lib==1.1
    # via yfinance
huggingface-hub==0.24.0
    # via fintorch (pyproject.toml)
idna==3.7
    # via
    #   requests
    #   yarl
jinja2==3.1.4
    # via
    #   torch
    #   torch-geometric
joblib==1.4.2
    # via scikit-learn
jsonschema==4.23.0
    # via ray
jsonschema-specifications==2024.10.1
    # via jsonschema
kaggle==1.6.14
    # via fintorch (pyproject.toml)
kiwisolver==1.4.5
    # via matplotlib
lightning==2.3.3
    # via fintorch (pyproject.toml)
lightning-utilities==0.11.5
    # via
    #   lightning
    #   pytorch-lightning
    #   torchmetrics
lxml==5.2.2
    # via yfinance
mako==1.3.5
    # via alembic
markupsafe==2.1.5
    # via
    #   jinja2
    #   mako
matplotlib==3.9.1
    # via seaborn
mpmath==1.3.0
    # via sympy
msgpack==1.1.0
    # via ray
multidict==6.0.5
    # via
    #   aiohttp
    #   yarl
multitasking==0.0.11
    # via yfinance
networkx==3.3
    # via
    #   fintorch (pyproject.toml)
    #   torch
neuralforecast==1.7.5
    # via fintorch (pyproject.toml)
numpy==1.26.4
    # via
    #   contourpy
    #   coreforecast
    #   fintorch (pyproject.toml)
    #   lightning
    #   matplotlib
    #   neuralforecast
    #   optuna
    #   pandas
    #   pytorch-lightning
    #   scikit-learn
    #   scipy
    #   seaborn
    #   tensorboardx
    #   torch-geometric
    #   torchmetrics
    #   utilsforecast
    #   yfinance
nvidia-cublas-cu12==12.1.3.1
    # via
    #   nvidia-cudnn-cu12
    #   nvidia-cusolver-cu12
    #   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==8.9.2.26
    # 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
    #   torch
nvidia-nccl-cu12==2.20.5
    # via torch
nvidia-nvjitlink-cu12==12.5.82
    # via
    #   nvidia-cusolver-cu12
    #   nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
    # via torch
optuna==3.6.1
    # via
    #   fintorch (pyproject.toml)
    #   neuralforecast
    #   optuna-integration
optuna-integration==3.6.0
    # via fintorch (pyproject.toml)
packaging==24.1
    # via
    #   huggingface-hub
    #   lightning
    #   lightning-utilities
    #   matplotlib
    #   optuna
    #   pytorch-lightning
    #   ray
    #   tensorboardx
    #   torchmetrics
    #   utilsforecast
pandas==2.2.2
    # via
    #   neuralforecast
    #   ray
    #   seaborn
    #   utilsforecast
    #   yfinance
peewee==3.17.6
    # via yfinance
pillow==10.4.0
    # via matplotlib
platformdirs==4.2.2
    # via
    #   wandb
    #   yfinance
polars==1.2.1
    # via fintorch (pyproject.toml)
protobuf==5.27.2
    # via
    #   ray
    #   tensorboardx
    #   wandb
psutil==6.0.0
    # via
    #   torch-geometric
    #   wandb
pyarrow==18.0.0
    # via ray
pyparsing==3.1.2
    # via
    #   matplotlib
    #   torch-geometric
python-dateutil==2.9.0.post0
    # via
    #   kaggle
    #   matplotlib
    #   pandas
python-slugify==8.0.4
    # via kaggle
pytorch-lightning==2.0.0
    # via
    #   lightning
    #   neuralforecast
pytz==2024.1
    # via
    #   pandas
    #   yfinance
pyyaml==6.0.1
    # via
    #   huggingface-hub
    #   lightning
    #   optuna
    #   pytorch-lightning
    #   ray
    #   wandb
ray[tune]==2.10.0
    # via
    #   fintorch (pyproject.toml)
    #   neuralforecast
referencing==0.35.1
    # via
    #   jsonschema
    #   jsonschema-specifications
requests==2.32.3
    # via
    #   huggingface-hub
    #   kaggle
    #   ray
    #   torch-geometric
    #   wandb
    #   yfinance
rpds-py==0.20.1
    # via
    #   jsonschema
    #   referencing
scikit-learn==1.5.1
    # via torch-geometric
scipy==1.14.0
    # via
    #   scikit-learn
    #   torch-geometric
seaborn==0.13.2
    # via fintorch (pyproject.toml)
sentry-sdk==2.10.0
    # via wandb
setproctitle==1.3.3
    # via wandb
six==1.16.0
    # via
    #   bleach
    #   docker-pycreds
    #   html5lib
    #   kaggle
    #   python-dateutil
smmap==5.0.1
    # via gitdb
soupsieve==2.5
    # via beautifulsoup4
sqlalchemy==2.0.31
    # via
    #   alembic
    #   optuna
sympy==1.13.1
    # via torch
tenacity==9.0.0
    # via fintorch (pyproject.toml)
tensorboardx==2.6.2.2
    # via ray
text-unidecode==1.3
    # via python-slugify
threadpoolctl==3.5.0
    # via scikit-learn
torch==2.3.1
    # via
    #   entmax
    #   fintorch (pyproject.toml)
    #   lightning
    #   neuralforecast
    #   pytorch-lightning
    #   torchmetrics
torch-geometric==2.5.3
    # via fintorch (pyproject.toml)
torchmetrics==1.4.0.post0
    # via
    #   lightning
    #   pytorch-lightning
tqdm==4.66.4
    # via
    #   huggingface-hub
    #   kaggle
    #   lightning
    #   optuna
    #   pytorch-lightning
    #   torch-geometric
triton==2.3.1
    # via torch
typing-extensions==4.12.2
    # via
    #   alembic
    #   huggingface-hub
    #   lightning
    #   lightning-utilities
    #   pytorch-lightning
    #   sqlalchemy
    #   torch
tzdata==2024.1
    # via pandas
urllib3==2.2.2
    # via
    #   kaggle
    #   requests
    #   sentry-sdk
utilsforecast==0.2.7
    # via neuralforecast
wandb==0.17.4
    # via fintorch (pyproject.toml)
webencodings==0.5.1
    # via
    #   bleach
    #   html5lib
yarl==1.9.4
    # via aiohttp
yfinance==0.2.41
    # via fintorch (pyproject.toml)

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