| import importlib.metadata |
| import importlib.util |
| import os |
| import re |
| from typing import List |
|
|
| from setuptools import find_packages, setup |
|
|
|
|
| def _is_package_available(name: str) -> bool: |
| return importlib.util.find_spec(name) is not None |
|
|
|
|
| def _is_torch_npu_available() -> bool: |
| return _is_package_available("torch_npu") |
|
|
|
|
| def _is_torch_available() -> bool: |
| return _is_package_available("torch") |
|
|
|
|
| def _is_torch_cuda_available() -> bool: |
| if _is_torch_available(): |
| import torch |
|
|
| return torch.cuda.is_available() |
| else: |
| return False |
|
|
|
|
| def get_version() -> str: |
| with open(os.path.join("lingbotvla", "__init__.py"), encoding="utf-8") as f: |
| file_content = f.read() |
| pattern = r"{}\W*=\W*\"([^\"]+)\"".format("__version__") |
| (version,) = re.findall(pattern, file_content) |
| return version |
|
|
|
|
| def get_requires() -> List[str]: |
| with open("requirements.txt", encoding="utf-8") as f: |
| lines = [] |
| for line in f: |
| line = line.strip() |
| if not line or line.startswith("#"): |
| continue |
| lines.append(line) |
| return lines |
|
|
| BASE_REQUIRE = [] |
|
|
| def main(): |
| |
| install_requires = list(set(BASE_REQUIRE + get_requires())) |
|
|
| setup( |
| name="lingbotvla", |
| version=get_version(), |
| python_requires=">=3.8.0", |
| packages=find_packages(exclude=["scripts", "tasks", "tests"]), |
| url="https://www.robbyant.com", |
| license="Apache 2.0", |
| author="Robbyant Team", |
| description="From Foundation to Application: Improving VLA Models in Practice", |
| install_requires=install_requires, |
| include_package_data=False, |
| ) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
