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setup.py
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setup.py
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#!/usr/bin/env python3
"""FunCodec setup script."""
import os
from distutils.version import LooseVersion
from setuptools import find_packages
from setuptools import setup
requirements = {
"install": [
"setuptools>=38.5.1",
# "configargparse>=1.2.1",
"typeguard==2.13.3",
"humanfriendly",
"scipy>=1.4.1",
# "filelock",
"librosa>=0.8.0",
"jamo==0.4.1", # For kss
"PyYAML>=5.1.2",
"soundfile>=0.10.2",
"h5py>=2.10.0",
"kaldiio>=2.17.0",
"torch_complex",
"nltk>=3.4.5",
# ASR
"sentencepiece",
# "ctc-segmentation<1.8,>=1.6.6",
# TTS
# "pyworld>=0.2.10",
"pypinyin<=0.44.0",
"espnet_tts_frontend",
# ENH
# "ci_sdr",
"pytorch_wpe",
"editdistance==0.5.2",
"tensorboard>=1.15",
"g2p",
# PAI
"oss2",
# codec
"local-attention",
"einops>=0.6.0",
"thop>=0.1.1.post2209072238",
"alias-free-torch>=0.0.6",
"phaseaug>=1.0.1"
],
# train: The modules invoked when training only.
"train": [
# "pillow>=6.1.0",
"editdistance>=0.5.2",
"wandb",
],
# recipe: The modules actually are not invoked in the main module of funcodec,
# but are invoked for the python scripts in each recipe
"recipe": [
"espnet_model_zoo",
# "gdown",
# "resampy",
# "pysptk>=0.1.17",
# "morfessor", # for zeroth-korean
# "youtube_dl", # for laborotv
# "nnmnkwii",
# "museval>=0.2.1",
# "pystoi>=0.2.2",
# "mir-eval>=0.6",
# "fastdtw",
# "nara_wpe>=0.0.5",
# "sacrebleu>=1.5.1",
],
# all: The modules should be optionally installled due to some reason.
# Please consider moving them to "install" occasionally
# NOTE(kamo): The modules in "train" and "recipe" are appended into "all"
"all": [
# NOTE(kamo): Append modules requiring specific pytorch version or torch>1.3.0
"torch_optimizer",
"fairscale",
"transformers",
"torch>=1.12",
"torch-complex>=0.4.3",
"torchaudio>=0.12.0",
"torchvision>=0.13.0",
"numpy>=1.23.5",
"numba>=0.56.4",
# "gtn==0.0.0",
],
"setup": [
"pytest-runner",
],
"test": [
"pytest>=3.3.0",
"pytest-timeouts>=1.2.1",
"pytest-pythonpath>=0.7.3",
"pytest-cov>=2.7.1",
"hacking>=2.0.0",
"mock>=2.0.0",
"pycodestyle",
"jsondiff<2.0.0,>=1.2.0",
"flake8>=3.7.8",
"flake8-docstrings>=1.3.1",
"black",
],
"doc": [
"Jinja2<3.1",
"Sphinx==2.1.2",
"sphinx-rtd-theme>=0.2.4",
"sphinx-argparse>=0.2.5",
"commonmark==0.8.1",
"recommonmark>=0.4.0",
"nbsphinx>=0.4.2",
"sphinx-markdown-tables>=0.0.12",
],
}
requirements["all"].extend(requirements["train"] + requirements["recipe"])
requirements["test"].extend(requirements["train"])
install_requires = requirements["install"]
setup_requires = requirements["setup"]
tests_require = requirements["test"]
extras_require = {
k: v for k, v in requirements.items() if k not in ["install", "setup"]
}
dirname = os.path.dirname(__file__)
version_file = os.path.join(dirname, "funcodec", "version.txt")
with open(version_file, "r") as f:
version = f.read().strip()
setup(
name="funcodec",
version=version,
url="https://github.com/alibaba-damo-academy/FunCodec.git",
author="Speech Lab, Alibaba Group, China",
author_email="[email protected]",
description="FunCodec: A Fundamental, Reproducible and Integrable Open-source Toolkit for Neural Speech Codec",
long_description=open(os.path.join(dirname, "README.md"), encoding="utf-8").read(),
long_description_content_type="text/markdown",
license="The MIT License",
packages=find_packages(include=["funcodec*"]),
package_data={"funcodec": ["version.txt"]},
install_requires=install_requires,
setup_requires=setup_requires,
tests_require=tests_require,
extras_require=extras_require,
python_requires=">=3.8.0",
classifiers=[
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Science/Research",
"Operating System :: POSIX :: Linux",
"License :: OSI Approved :: Apache Software License",
"Topic :: Software Development :: Libraries :: Python Modules",
],
)