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requirements.lock
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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: false
# with-sources: true
--index-url https://pypi.org/simple/
--find-links https://download.pytorch.org/whl/torch_stable.html
-e file:.
agogos==0.4
# via epochalyst
annotated-types==0.7.0
# via iv-q4-birdclef-2024
antlr4-python3-runtime==4.9.3
# via hydra-core
# via omegaconf
audioread==3.0.1
# via librosa
certifi==2024.6.2
# via requests
# via sentry-sdk
cffi==1.16.0
# via soundfile
charset-normalizer==3.3.2
# via requests
click==8.1.7
# via dask
# via wandb
cloudpickle==3.0.0
# via dask
coloredlogs==15.0.1
# via iv-q4-birdclef-2024
# via onnxruntime
contourpy==1.2.1
# via matplotlib
cycler==0.12.1
# via matplotlib
dask==2024.6.0
# via dask-expr
# via iv-q4-birdclef-2024
dask-expr==1.1.3
# via iv-q4-birdclef-2024
decorator==5.1.1
# via librosa
docker-pycreds==0.4.0
# via wandb
epochalyst==0.3.2
# via iv-q4-birdclef-2024
filelock==3.15.1
# via huggingface-hub
# via torch
# via triton
fire==0.6.0
# via randomname
flatbuffers==24.3.25
# via onnxruntime
fonttools==4.53.0
# via matplotlib
fsspec==2024.6.0
# via dask
# via huggingface-hub
# via torch
gitdb==4.0.11
# via gitpython
gitpython==3.1.43
# via wandb
huggingface-hub==0.23.4
# via timm
humanfriendly==10.0
# via coloredlogs
hydra-core==1.3.2
# via iv-q4-birdclef-2024
idna==3.7
# via requests
importlib-metadata==7.1.0
# via dask
jinja2==3.1.4
# via torch
joblib==1.4.2
# via agogos
# via librosa
# via scikit-learn
kiwisolver==1.4.5
# via matplotlib
kornia==0.7.2
# via iv-q4-birdclef-2024
kornia-rs==0.1.3
# via kornia
lazy-loader==0.4
# via librosa
librosa==0.10.2.post1
# via iv-q4-birdclef-2024
llvmlite==0.43.0
# via numba
locket==1.0.0
# via partd
markupsafe==2.1.5
# via jinja2
matplotlib==3.9.0
# via iv-q4-birdclef-2024
# via seaborn
mpmath==1.3.0
# via sympy
msgpack==1.0.8
# via librosa
networkx==3.3
# via torch
numba==0.60.0
# via librosa
numpy==2.0.0
# via contourpy
# via epochalyst
# via iv-q4-birdclef-2024
# via librosa
# via matplotlib
# via numba
# via onnx
# via onnxruntime
# via pandas
# via pyarrow
# via scikit-learn
# via scipy
# via seaborn
# 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==2.19.3
# via torch
nvidia-nvjitlink-cu12==12.5.40
# via nvidia-cusolver-cu12
# via nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
# via torch
omegaconf==2.3.0
# via hydra-core
onnx==1.16.1
# via iv-q4-birdclef-2024
onnxruntime==1.18.0
# via iv-q4-birdclef-2024
packaging==24.1
# via dask
# via huggingface-hub
# via hydra-core
# via kornia
# via lazy-loader
# via matplotlib
# via onnxruntime
# via plotly
# via pooch
pandas==2.2.2
# via dask-expr
# via iv-q4-birdclef-2024
# via seaborn
partd==1.4.2
# via dask
pillow==10.3.0
# via matplotlib
# via torchvision
platformdirs==4.2.2
# via pooch
# via wandb
plotly==5.22.0
# via iv-q4-birdclef-2024
pooch==1.8.2
# via librosa
protobuf==5.27.1
# via onnx
# via onnxruntime
# via wandb
psutil==5.9.8
# via wandb
pyarrow==16.1.0
# via dask-expr
pycparser==2.22
# via cffi
pyparsing==3.1.2
# via matplotlib
python-dateutil==2.9.0.post0
# via matplotlib
# via pandas
pytz==2024.1
# via pandas
pyyaml==6.0.1
# via dask
# via huggingface-hub
# via omegaconf
# via timm
# via wandb
randomname==0.2.1
# via iv-q4-birdclef-2024
requests==2.32.3
# via huggingface-hub
# via pooch
# via wandb
safetensors==0.4.3
# via timm
scikit-learn==1.5.0
# via iv-q4-birdclef-2024
# via librosa
scipy==1.13.1
# via iv-q4-birdclef-2024
# via librosa
# via scikit-learn
seaborn==0.13.2
# via iv-q4-birdclef-2024
sentry-sdk==2.5.1
# via wandb
setproctitle==1.3.3
# via wandb
setuptools==70.0.0
# via wandb
six==1.16.0
# via docker-pycreds
# via fire
# via python-dateutil
smmap==5.0.1
# via gitdb
soundfile==0.12.1
# via librosa
soxr==0.3.7
# via librosa
sparsemax==0.1.9
# via iv-q4-birdclef-2024
sympy==1.12.1
# via onnxruntime
# via torch
tenacity==8.4.0
# via plotly
termcolor==2.4.0
# via fire
threadpoolctl==3.5.0
# via scikit-learn
timm==1.0.3
# via iv-q4-birdclef-2024
toolz==0.12.1
# via dask
# via partd
torch==2.2.2+cu121
# via epochalyst
# via iv-q4-birdclef-2024
# via kornia
# via sparsemax
# via timm
# via torchaudio
# via torchvision
torchaudio==2.2.2+cu121
# via iv-q4-birdclef-2024
torchvision==0.17.2+cu121
# via iv-q4-birdclef-2024
# via timm
tqdm==4.66.4
# via huggingface-hub
# via iv-q4-birdclef-2024
triton==2.2.0
# via torch
typing-extensions==4.12.2
# via huggingface-hub
# via iv-q4-birdclef-2024
# via librosa
# via torch
tzdata==2024.1
# via pandas
urllib3==2.2.1
# via requests
# via sentry-sdk
wandb==0.17.1
# via iv-q4-birdclef-2024
zipp==3.19.2
# via importlib-metadata