Get rid of check_run + run_python

    return (result.stdout or "")

def check_run(command):

    result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True)

    return result.returncode == 0

def is_installed(package):

    try:

        spec = importlib.util.find_spec(package)

    return os.path.join(script_path, dir_repos, name)

def run_python(code, desc=None, errdesc=None):

    return run(f'"{python}" -c "{code}"', desc, errdesc)

def run_pip(command, desc=None, live=default_command_live):

    if args.skip_install:

        return

    return run(f'"{python}" -m pip {command} --prefer-binary{index_url_line}', desc=f"Installing {desc}", errdesc=f"Couldn't install {desc}", live=live)

def check_run_python(code):

    return check_run(f'"{python}" -c "{code}"')

def check_run_python(code: str) -> bool:

    result = subprocess.run([python, "-c", code], capture_output=True, shell=True)

    return result.returncode == 0

def git_clone(url, dir, name, commithash=None):

    if args.reinstall_torch or not is_installed("torch") or not is_installed("torchvision"):

        run(f'"{python}" -m {torch_command}', "Installing torch and torchvision", "Couldn't install torch", live=True)

    if not args.skip_torch_cuda_test:

        run_python("import torch; assert torch.cuda.is_available(), 'Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check'")

    if not args.skip_torch_cuda_test and not check_run_python("import torch; assert torch.cuda.is_available()"):

        raise RuntimeError(

            'Torch is not able to use GPU; '

            'add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check'

        )

    if not is_installed("gfpgan"):

        run_pip(f"install {gfpgan_package}", "gfpgan")