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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
# universal: false
-e file:.
absl-py==2.1.0
# via ml-collections
ae-ffmpeg==1.2.0
# via auto-editor
ansi2html==1.9.2
# via videomosaic
audio-separator==0.18.3
# via videomosaic
audioread==3.0.1
# via librosa
auto-editor==24.31.1
# via videomosaic
beartype==0.18.5
# via audio-separator
certifi==2024.7.4
# via requests
cffi==1.17.0
# via samplerate
# via soundfile
charset-normalizer==3.3.2
# via requests
colorama==0.4.6
# via loguru
# via tqdm
coloredlogs==15.0.1
# via onnxruntime
contextlib2==21.6.0
# via ml-collections
contourpy==1.2.1
# via matplotlib
cycler==0.12.1
# via matplotlib
cython==3.0.11
# via diffq
darkdetect==0.8.0
# via pyside6-fluent-widgets
decorator==5.1.1
# via librosa
diffq==0.2.4
# via audio-separator
einops==0.8.0
# via audio-separator
# via rotary-embedding-torch
filelock==3.15.4
# via torch
flatbuffers==24.3.25
# via onnxruntime
fonttools==4.53.1
# via matplotlib
fsspec==2024.6.1
# via torch
humanfriendly==10.0
# via coloredlogs
idna==3.7
# via requests
jinja2==3.1.4
# via torch
joblib==1.4.2
# via librosa
# via scikit-learn
julius==0.2.7
# via audio-separator
kiwisolver==1.4.5
# via matplotlib
lazy-loader==0.4
# via librosa
librosa==0.10.2.post1
# via audio-separator
# via noisereduce
llvmlite==0.43.0
# via numba
loguru==0.7.2
# via videomosaic
markupsafe==2.1.5
# via jinja2
matplotlib==3.9.2
# via noisereduce
ml-collections==0.1.1
# via audio-separator
mpmath==1.3.0
# via sympy
msgpack==1.0.8
# via librosa
networkx==3.3
# via torch
noisereduce==3.0.2
# via videomosaic
numba==0.60.0
# via librosa
# via resampy
numpy==1.26.4
# via audio-separator
# via auto-editor
# via contourpy
# via diffq
# via librosa
# via matplotlib
# via noisereduce
# via numba
# via onnx
# via onnx2torch
# via onnxruntime
# via opencv-contrib-python
# via resampy
# via samplerate
# via scikit-learn
# via scipy
# via soxr
# via torchvision
onnx==1.16.1
# via audio-separator
# via onnx2torch
# via videomosaic
onnx2torch==1.5.15
# via audio-separator
onnxruntime==1.18.1
# via audio-separator
opencv-contrib-python==4.10.0.84
# via videomosaic
packaging==23.2
# via lazy-loader
# via matplotlib
# via onnxruntime
# via pooch
pillow==10.4.0
# via matplotlib
# via torchvision
platformdirs==4.2.2
# via pooch
pooch==1.8.2
# via librosa
protobuf==5.27.3
# via onnx
# via onnxruntime
pyav==12.3.0
# via auto-editor
pycparser==2.22
# via cffi
pydub==0.25.1
# via audio-separator
pyparsing==3.1.2
# via matplotlib
pyreadline3==3.4.1
# via humanfriendly
pyside6==6.7.2
# via pyside6-fluent-widgets
pyside6-addons==6.7.2
# via pyside6
pyside6-essentials==6.7.2
# via pyside6
# via pyside6-addons
pyside6-fluent-widgets==1.6.0
# via videomosaic
pysidesix-frameless-window==0.3.12
# via pyside6-fluent-widgets
python-dateutil==2.9.0.post0
# via matplotlib
pywin32==306
# via pysidesix-frameless-window
pyyaml==6.0.2
# via audio-separator
# via ml-collections
requests==2.32.3
# via audio-separator
# via pooch
resampy==0.4.3
# via audio-separator
rotary-embedding-torch==0.6.4
# via audio-separator
samplerate==0.1.0
# via audio-separator
scikit-learn==1.5.1
# via librosa
scipy==1.14.0
# via audio-separator
# via librosa
# via noisereduce
# via scikit-learn
shiboken6==6.7.2
# via pyside6
# via pyside6-addons
# via pyside6-essentials
six==1.16.0
# via audio-separator
# via ml-collections
# via python-dateutil
soundfile==0.12.1
# via librosa
soxr==0.4.0
# via librosa
sympy==1.13.1
# via onnxruntime
# via torch
threadpoolctl==3.5.0
# via scikit-learn
torch==2.4.0
# via audio-separator
# via diffq
# via julius
# via onnx2torch
# via rotary-embedding-torch
# via torchvision
torchvision==0.19.0
# via onnx2torch
tqdm==4.66.5
# via audio-separator
# via noisereduce
typing-extensions==4.12.2
# via librosa
# via torch
# via videomosaic
urllib3==2.2.2
# via requests
win32-setctime==1.1.0
# via loguru