How to use run_lambda method in localstack

Best Python code snippet using localstack_python

collect_env.py

Source:collect_env.py

...43        err = err.decode(enc)44    return rc, output.strip(), err.strip()45def run_and_read_all(run_lambda, command):46    """Runs command using run_lambda; reads and returns entire output if rc is 0"""47    rc, out, _ = run_lambda(command)48    if rc != 0:49        return None50    return out51def run_and_parse_first_match(run_lambda, command, regex):52    """Runs command using run_lambda, returns the first regex match if it exists"""53    rc, out, _ = run_lambda(command)54    if rc != 0:55        return None56    match = re.search(regex, out)57    if match is None:58        return None59    return match.group(1)60def get_conda_packages(run_lambda):61    if get_platform() == 'win32':62        grep_cmd = r'findstr /R "torch soumith mkl magma"'63    else:64        grep_cmd = r'grep "torch\|soumith\|mkl\|magma"'65    conda = os.environ.get('CONDA_EXE', 'conda')66    out = run_and_read_all(run_lambda, conda + ' list | ' + grep_cmd)67    if out is None:68        return out69    # Comment starting at beginning of line70    comment_regex = re.compile(r'^#.*\n')71    return re.sub(comment_regex, '', out)72def get_gcc_version(run_lambda):73    return run_and_parse_first_match(run_lambda, 'gcc --version', r'gcc (.*)')74def get_cmake_version(run_lambda):75    return run_and_parse_first_match(run_lambda, 'cmake --version', r'cmake (.*)')76def get_nvidia_driver_version(run_lambda):77    if get_platform() == 'darwin':78        cmd = 'kextstat | grep -i cuda'79        return run_and_parse_first_match(run_lambda, cmd,80                                         r'com[.]nvidia[.]CUDA [(](.*?)[)]')81    smi = get_nvidia_smi()82    return run_and_parse_first_match(run_lambda, smi, r'Driver Version: (.*?) ')83def get_gpu_info(run_lambda):84    if get_platform() == 'darwin':85        if TORCH_AVAILABLE and torch.cuda.is_available():86            return torch.cuda.get_device_name(None)87        return None88    smi = get_nvidia_smi()89    uuid_regex = re.compile(r' \(UUID: .+?\)')90    rc, out, _ = run_lambda(smi + ' -L')91    if rc != 0:92        return None93    # Anonymize GPUs by removing their UUID94    return re.sub(uuid_regex, '', out)95def get_running_cuda_version(run_lambda):96    return run_and_parse_first_match(run_lambda, 'nvcc --version', r'V(.*)$')97def get_cudnn_version(run_lambda):98    """This will return a list of libcudnn.so; it's hard to tell which one is being used"""99    if get_platform() == 'win32':100        cudnn_cmd = 'where /R "%CUDA_PATH%\\bin" cudnn*.dll'101    elif get_platform() == 'darwin':102        # CUDA libraries and drivers can be found in /usr/local/cuda/. See103        # https://docs.nvidia.com/cuda/cuda-installation-guide-mac-os-x/index.html#install104        # https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#installmac105        # Use CUDNN_LIBRARY when cudnn library is installed elsewhere.106        cudnn_cmd = 'ls /usr/local/cuda/lib/libcudnn*'107    else:108        cudnn_cmd = 'ldconfig -p | grep libcudnn | rev | cut -d" " -f1 | rev'109    rc, out, _ = run_lambda(cudnn_cmd)110    # find will return 1 if there are permission errors or if not found111    if len(out) == 0 or (rc != 1 and rc != 0):112        l = os.environ.get('CUDNN_LIBRARY')113        if l is not None and os.path.isfile(l):114            return os.path.realpath(l)115        return None116    files = set()117    for fn in out.split('\n'):118        fn = os.path.realpath(fn)  # eliminate symbolic links119        if os.path.isfile(fn):120            files.add(fn)121    if not files:122        return None123    # Alphabetize the result because the order is non-deterministic otherwise...

collection_env.py

Source:collection_env.py

...38        err = err.decode("ascii")39    return rc, output.strip(), err.strip()40def run_and_read_all(run_lambda, command):41    """Runs command using run_lambda; reads and returns entire output if rc is 0"""42    rc, out, _ = run_lambda(command)43    if rc is not 0:44        return None45    return out46def run_and_parse_first_match(run_lambda, command, regex):47    """Runs command using run_lambda, returns the first regex match if it exists"""48    rc, out, _ = run_lambda(command)49    if rc is not 0:50        return None51    match = re.search(regex, out)52    if match is None:53        return None54    return match.group(1)55def get_conda_packages(run_lambda):56    if get_platform() == 'win32':57        grep_cmd = 'findstr /R "torch soumith"'58    else:59        grep_cmd = 'grep "torch\|soumith"'60    out = run_and_read_all(run_lambda, 'conda list | ' + grep_cmd)61    if out is None:62        return out63    # Comment starting at beginning of line64    comment_regex = re.compile(r'^#.*\n')65    return re.sub(comment_regex, '', out)66def get_gcc_version(run_lambda):67    return run_and_parse_first_match(run_lambda, 'gcc --version', r'gcc (.*)')68def get_cmake_version(run_lambda):69    return run_and_parse_first_match(run_lambda, 'cmake --version', r'cmake (.*)')70def get_nvidia_driver_version(run_lambda):71    smi = get_nvidia_smi()72    return run_and_parse_first_match(run_lambda, smi, r'Driver Version: (.*?) ')73def get_gpu_info(run_lambda):74    smi = get_nvidia_smi()75    uuid_regex = re.compile(' \(UUID: .+?\)')76    rc, out, _ = run_lambda(smi + ' -L')77    if rc is not 0:78        return None79    # Anonymize GPUs by removing their UUID80    return re.sub(uuid_regex, '', out)81def get_running_cuda_version(run_lambda):82    return run_and_parse_first_match(run_lambda, 'nvcc --version', r'V(.*)$')83def get_cudnn_version(run_lambda):84    """This will return a list of libcudnn.so; it's hard to tell which one is being used"""85    if get_platform() == 'win32':86        cudnn_cmd = 'where /R "%CUDA_PATH%\\bin" cudnn*.dll'87    else:88        cudnn_cmd = 'find /usr/local /usr/lib -type f -name "libcudnn*" 2> /dev/null'89    rc, out, _ = run_lambda(cudnn_cmd)90    # find will return 1 if there are permission errors or if not found91    if len(out) == 0:92        return None93    if rc != 1 and rc != 0:94        return None95    # Alphabetize the result because the order is non-deterministic otherwise96    result = '\n'.join(sorted(out.split('\n')))97    return 'Probably one of the following:\n{}'.format(result)98def get_nvidia_smi():99    smi = 'nvidia-smi'100    if get_platform() == 'win32':101        smi = '"C:\\Program Files\\NVIDIA Corporation\\NVSMI\\%s"' % smi102    return smi103def get_platform():...

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