1755 lines
172 KiB
TOML
1755 lines
172 KiB
TOML
# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
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[[package]]
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name = "audioread"
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version = "3.0.1"
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description = "Multi-library, cross-platform audio decoding."
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optional = false
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python-versions = ">=3.6"
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files = [
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{file = "audioread-3.0.1-py3-none-any.whl", hash = "sha256:4cdce70b8adc0da0a3c9e0d85fb10b3ace30fbdf8d1670fd443929b61d117c33"},
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{file = "audioread-3.0.1.tar.gz", hash = "sha256:ac5460a5498c48bdf2e8e767402583a4dcd13f4414d286f42ce4379e8b35066d"},
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]
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[package.extras]
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test = ["tox"]
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[[package]]
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name = "certifi"
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version = "2023.7.22"
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description = "Python package for providing Mozilla's CA Bundle."
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optional = false
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python-versions = ">=3.6"
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files = [
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{file = "certifi-2023.7.22-py3-none-any.whl", hash = "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"},
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{file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"},
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]
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[[package]]
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name = "cffi"
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version = "1.16.0"
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description = "Foreign Function Interface for Python calling C code."
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optional = false
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python-versions = ">=3.8"
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files = [
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]
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[package.dependencies]
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pycparser = "*"
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[[package]]
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name = "charset-normalizer"
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version = "3.3.0"
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description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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optional = false
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python-versions = ">=3.7.0"
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files = [
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python-dateutil = ">=2.8.2"
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tzdata = ">=2022.1"
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[package.extras]
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all = ["safetensors[jax]", "safetensors[numpy]", "safetensors[paddlepaddle]", "safetensors[pinned-tf]", "safetensors[quality]", "safetensors[testing]", "safetensors[torch]"]
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dev = ["safetensors[all]"]
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jax = ["flax (>=0.6.3)", "jax (>=0.3.25)", "jaxlib (>=0.3.25)", "safetensors[numpy]"]
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numpy = ["numpy (>=1.21.6)"]
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paddlepaddle = ["paddlepaddle (>=2.4.1)", "safetensors[numpy]"]
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pinned-tf = ["safetensors[numpy]", "tensorflow (==2.11.0)"]
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quality = ["black (==22.3)", "click (==8.0.4)", "flake8 (>=3.8.3)", "isort (>=5.5.4)"]
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tensorflow = ["safetensors[numpy]", "tensorflow (>=2.11.0)"]
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testing = ["h5py (>=3.7.0)", "huggingface_hub (>=0.12.1)", "hypothesis (>=6.70.2)", "pytest (>=7.2.0)", "pytest-benchmark (>=4.0.0)", "safetensors[numpy]", "setuptools_rust (>=1.5.2)"]
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torch = ["safetensors[numpy]", "torch (>=1.10)"]
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[[package]]
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name = "scikit-learn"
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version = "1.3.1"
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description = "A set of python modules for machine learning and data mining"
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optional = false
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python-versions = ">=3.8"
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