setup.py

import os
from setuptools import setup, find_packages

def read_environment_yaml():
    """Read dependencies from environment.yaml"""
    env_file = 'environment.yaml'
    if not os.path.exists(env_file):
        return []

    try:
        import yaml
        with open(env_file, 'r') as f:
            env_data = yaml.safe_load(f)
    except ImportError:
        return []

    pip_deps = []
    dependencies = env_data.get('dependencies', [])

    for dep in dependencies:
        if isinstance(dep, dict) and 'pip' in dep:
            pip_deps.extend(dep['pip'])

    return []

def get_base_requirements():
    return [
        'torch',
        'numpy',
    ]

try:
    env_requirements = read_environment_yaml()
    install_requires = get_base_requirements() + env_requirements
except Exception:
    install_requires = get_base_requirements()

setup(
    name='fw-tsw',
    version='0.1.0',
    package_dir={'': 'src'},
    packages=find_packages(where='src'),
    install_requires=install_requires,
    author='Thanh Tran',
    author_email='thanhqt2002@gmail.com',
    description='Revisiting Tree-Sliced Wasserstein Distance Through the Lens of the Fermat-Weber Problem',
    long_description=open('README.md').read(),
    long_description_content_type='text/markdown',
    url='https://github.com/thanhquangtran/FW-TSW',
    classifiers=[
        'Programming Language :: Python :: 3',
        'License :: OSI Approved :: MIT License',
        'Operating System :: OS Independent',
    ],
    python_requires='>=3.9',
)