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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: false
# generate-hashes: false
-e file:.
absl-py==2.1.0
# via tensorboard
aiohttp==3.9.5
# via fsspec
aiosignal==1.3.1
# via aiohttp
antlr4-python3-runtime==4.9.3
# via hydra-core
# via omegaconf
attrs==23.2.0
# via aiohttp
audioread==3.0.1
# via librosa
certifi==2024.7.4
# via requests
cffi==1.16.0
# via soundfile
charset-normalizer==3.3.2
# via requests
contourpy==1.2.1
# via matplotlib
cycler==0.12.1
# via matplotlib
cython==3.0.10
# via pyworld
decorator==5.1.1
# via librosa
filelock==3.15.4
# via torch
# via triton
fonttools==4.53.1
# via matplotlib
frozenlist==1.4.1
# via aiohttp
# via aiosignal
fsspec==2024.6.1
# via lightning
# via pytorch-lightning
# via torch
grpcio==1.65.0
# via tensorboard
hydra-core==1.3.2
# via vocoders
idna==3.7
# via requests
# via yarl
jinja2==3.1.4
# via torch
joblib==1.4.2
# via librosa
# via scikit-learn
# via vocoders
kiwisolver==1.4.5
# via matplotlib
lazy-loader==0.4
# via librosa
librosa==0.10.2.post1
# via vocoders
lightning==2.3.3
# via vocoders
lightning-utilities==0.11.3.post0
# via lightning
# via pytorch-lightning
# via torchmetrics
llvmlite==0.43.0
# via numba
loguru==0.7.2
# via vocoders
markdown==3.6
# via tensorboard
markupsafe==2.1.5
# via jinja2
# via werkzeug
matplotlib==3.9.1
# via vocoders
mpmath==1.3.0
# via sympy
msgpack==1.0.8
# via librosa
multidict==6.0.5
# via aiohttp
# via yarl
networkx==3.3
# via torch
nnaudio==0.3.3
# via vocoders
numba==0.60.0
# via librosa
numpy==2.0.0
# via contourpy
# via librosa
# via lightning
# via matplotlib
# via nnaudio
# via numba
# via pandas
# via pytorch-lightning
# via pyworld
# via scikit-learn
# via scipy
# via soxr
# via tensorboard
# via torchmetrics
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==12.5.82
# via nvidia-cusolver-cu12
# via nvidia-cusparse-cu12
nvidia-nvtx-cu12==12.1.105
# via torch
omegaconf==2.3.0
# via hydra-core
packaging==24.1
# via hydra-core
# via lazy-loader
# via lightning
# via lightning-utilities
# via matplotlib
# via pooch
# via pytorch-lightning
# via torchmetrics
pandas==2.2.2
# via vocoders
pesq==0.0.4
# via vocoders
pillow==10.4.0
# via matplotlib
platformdirs==4.2.2
# via pooch
pooch==1.8.2
# via librosa
protobuf==4.25.3
# via tensorboard
pycparser==2.22
# via cffi
pyparsing==3.1.2
# via matplotlib
python-dateutil==2.9.0.post0
# via matplotlib
# via pandas
pytorch-lightning==2.3.3
# via lightning
pytz==2024.1
# via pandas
pyworld==0.3.4
# via vocoders
pyyaml==6.0.1
# via lightning
# via omegaconf
# via pytorch-lightning
requests==2.32.3
# via pooch
scikit-learn==1.5.1
# via librosa
scipy==1.14.0
# via librosa
# via nnaudio
# via scikit-learn
# via vocoders
setuptools==70.3.0
# via lightning-utilities
# via tensorboard
six==1.16.0
# via python-dateutil
# via tensorboard
soundfile==0.12.1
# via librosa
# via vocoders
soxr==0.3.7
# via librosa
sympy==1.13.0
# via torch
tensorboard==2.17.0
# via vocoders
tensorboard-data-server==0.7.2
# via tensorboard
threadpoolctl==3.5.0
# via scikit-learn
torch==2.3.1
# via lightning
# via nnaudio
# via pytorch-lightning
# via torchaudio
# via torchmetrics
torchaudio==2.3.1
# via vocoders
torchmetrics==1.4.0.post0
# via lightning
# via pytorch-lightning
tqdm==4.66.4
# via lightning
# via pytorch-lightning
triton==2.3.1
# via torch
typing-extensions==4.12.2
# via librosa
# via lightning
# via lightning-utilities
# via pytorch-lightning
# via torch
tzdata==2024.1
# via pandas
urllib3==2.2.2
# via requests
werkzeug==3.0.3
# via tensorboard
yarl==1.9.4
# via aiohttp