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230 lines (230 loc) · 4.06 KB
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# This file was autogenerated by uv via the following command:
# uv pip compile - -o requirements.txt
alembic==1.18.3
# via optuna
annotated-types==0.7.0
# via pydantic
beaupy==3.11.0
certifi==2026.1.4
# via
# requests
# sentry-sdk
charset-normalizer==3.4.4
# via requests
click==8.3.1
# via wandb
colorlog==6.10.1
# via optuna
contourpy==1.3.3
# via matplotlib
cuda-bindings==12.9.4
# via torch
cuda-pathfinder==1.3.3
# via cuda-bindings
cycler==0.12.1
# via matplotlib
emoji==2.15.0
# via beaupy
filelock==3.20.3
# via torch
fireducks==1.4.4
firefw==1.4.4
# via fireducks
fonttools==4.61.1
# via matplotlib
fsspec==2026.2.0
# via torch
gitdb==4.0.12
# via gitpython
gitpython==3.1.46
# via wandb
greenlet==3.3.1
# via sqlalchemy
idna==3.11
# via requests
jinja2==3.1.6
# via torch
joblib==1.5.3
# via
# pynndescent
# scikit-learn
kiwisolver==1.4.9
# via matplotlib
llvmlite==0.46.0
# via
# numba
# pynndescent
mako==1.3.10
# via alembic
mambapy==1.2.0
markdown-it-py==4.0.0
# via rich
markupsafe==3.0.3
# via
# jinja2
# mako
matplotlib==3.10.8
# via scienceplots
mdurl==0.1.2
# via markdown-it-py
mpmath==1.3.0
# via sympy
networkx==3.6.1
# via torch
numba==0.63.1
# via
# pynndescent
# umap-learn
numpy==2.3.5
# via
# contourpy
# matplotlib
# numba
# optuna
# pandas
# scikit-learn
# scipy
# umap-learn
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
optuna==4.7.0
packaging==26.0
# via
# matplotlib
# optuna
# wandb
pandas==2.3.3
# via fireducks
pillow==12.1.0
# via matplotlib
platformdirs==4.5.1
# via wandb
polars==1.38.0
polars-runtime-32==1.38.0
# via polars
protobuf==6.33.5
# via wandb
pyarrow==21.0.0
# via fireducks
pydantic==2.12.5
# via wandb
pydantic-core==2.41.5
# via pydantic
pygments==2.19.2
# via rich
pynndescent==0.6.0
# via umap-learn
pyparsing==3.3.2
# via matplotlib
python-dateutil==2.9.0.post0
# via
# matplotlib
# pandas
python-yakh==0.4.1
# via
# beaupy
# questo
pytz==2025.2
# via pandas
pyyaml==6.0.3
# via
# optuna
# wandb
questo==0.4.2
# via beaupy
requests==2.32.5
# via wandb
rich==14.3.2
# via
# beaupy
# questo
scienceplots==2.2.0
scikit-learn==1.8.0
# via
# pynndescent
# umap-learn
scipy==1.17.0
# via
# pynndescent
# scikit-learn
# umap-learn
sentry-sdk==2.52.0
# via wandb
setuptools==80.10.2
# via torch
six==1.17.0
# via python-dateutil
smmap==5.0.2
# via gitdb
sqlalchemy==2.0.46
# via
# alembic
# optuna
sympy==1.14.0
# via torch
threadpoolctl==3.6.0
# via scikit-learn
torch==2.10.0
# via mambapy
tqdm==4.67.3
# via
# optuna
# umap-learn
triton==3.6.0
# via torch
typing-extensions==4.15.0
# via
# alembic
# pydantic
# pydantic-core
# sqlalchemy
# torch
# typing-inspection
# wandb
typing-inspection==0.4.2
# via pydantic
tzdata==2025.3
# via pandas
umap-learn==0.5.11
urllib3==2.6.3
# via
# requests
# sentry-sdk
wandb==0.24.2