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requirements.lock
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# 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: true
# generate-hashes: false
# universal: false
--index-url https://pypi.org/simple/
-e file:.
agogos==0.4
# via epochalyst
annotated-types==0.7.0
# via epochalyst
audiomentations==0.36.0
# via epochalyst
audioread==3.0.1
# via librosa
bottleneck==1.4.0
# via pandas
certifi==2024.6.2
# via requests
cffi==1.16.0
# via soundfile
charset-normalizer==3.3.2
# via requests
click==8.1.7
# via dask
cloudpickle==3.0.0
# via dask
coloredlogs==15.0.1
# via onnxruntime
dask==2024.6.2
# via dask-expr
# via epochalyst
dask-expr==1.1.6
# via dask
# via epochalyst
decorator==5.1.1
# via librosa
filelock==3.15.4
# via huggingface-hub
# via torch
# via triton
flatbuffers==24.3.25
# via onnxruntime
fsspec==2024.6.0
# via dask
# via huggingface-hub
# via torch
huggingface-hub==0.23.4
# via timm
humanfriendly==10.0
# via coloredlogs
idna==3.7
# via requests
importlib-metadata==7.2.1
# via dask
jinja2==3.1.4
# via torch
joblib==1.4.2
# via agogos
# via epochalyst
# via librosa
# via scikit-learn
kornia==0.7.2
# via epochalyst
kornia-rs==0.1.3
# via kornia
lazy-loader==0.4
# via librosa
librosa==0.10.2.post1
# via audiomentations
llvmlite==0.43.0
# via numba
locket==1.0.0
# via partd
markupsafe==2.1.5
# via jinja2
mpmath==1.3.0
# via sympy
msgpack==1.0.8
# via librosa
networkx==3.3
# via torch
numba==0.60.0
# via librosa
# via pandas
numexpr==2.10.1
# via pandas
numpy==1.26.4
# via audiomentations
# via bottleneck
# via dask
# via epochalyst
# via librosa
# via numba
# via numexpr
# via onnx
# via onnxruntime
# via openvino
# via pandas
# via pyarrow
# via scikit-learn
# via scipy
# via soxr
# 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==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
# via torch
nvidia-nccl-cu12==2.20.5
# via torch
nvidia-nvjitlink-cu12==12.5.40
# via nvidia-cusolver-cu12
# via nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
# via torch
onnx==1.16.1
# via epochalyst
onnxruntime==1.18.0
# via epochalyst
openvino==2024.2.0
# via epochalyst
openvino-telemetry==2024.1.0
# via openvino
packaging==24.1
# via dask
# via huggingface-hub
# via kornia
# via lazy-loader
# via onnxruntime
# via openvino
# via pooch
pandas==2.2.2
# via dask
# via dask-expr
# via epochalyst
partd==1.4.2
# via dask
pillow==10.3.0
# via torchvision
platformdirs==4.2.2
# via pooch
polars==0.20.31
# via epochalyst
pooch==1.8.2
# via librosa
protobuf==5.27.1
# via onnx
# via onnxruntime
pyarrow==16.1.0
# via dask-expr
# via pandas
pycparser==2.22
# via cffi
python-dateutil==2.9.0.post0
# via pandas
pytz==2024.1
# via pandas
pyyaml==6.0.1
# via dask
# via huggingface-hub
# via timm
requests==2.32.3
# via huggingface-hub
# via pooch
safetensors==0.4.3
# via timm
scikit-learn==1.5.0
# via librosa
scipy==1.12.0
# via audiomentations
# via librosa
# via scikit-learn
six==1.16.0
# via python-dateutil
soundfile==0.12.1
# via librosa
soxr==0.3.7
# via audiomentations
# via librosa
sympy==1.12.1
# via onnxruntime
# via torch
threadpoolctl==3.5.0
# via scikit-learn
timm==1.0.7
# via epochalyst
toolz==0.12.1
# via dask
# via partd
torch==2.3.1
# via epochalyst
# via kornia
# via timm
# via torchvision
torchvision==0.18.1
# via timm
tqdm==4.66.4
# via huggingface-hub
triton==2.3.1
# via torch
typing-extensions==4.12.2
# via epochalyst
# via huggingface-hub
# via librosa
# via torch
tzdata==2024.1
# via pandas
urllib3==2.2.2
# via requests
zipp==3.19.2
# via importlib-metadata