def __init__()

in src/sagemaker_pytorch_serving_container/ts_environment.py [0:0]

• 8 lines of code
• 1 McCabe index (conditional complexity)

    def __init__(self):
        self._batch_size = int(os.environ.get(ts_parameters.MODEL_SERVER_BATCH_SIZE, DEFAULT_TS_BATCH_SIZE))
        self._max_batch_delay = int(os.environ.get(ts_parameters.MODEL_SERVER_MAX_BATCH_DELAY,
                                    DEFAULT_TS_MAX_BATCH_DELAY))
        self._min_workers = int(os.environ.get(ts_parameters.MODEL_SERVER_MIN_WORKERS, DEFAULT_TS_MIN_WORKERS))
        self._max_workers = int(os.environ.get(ts_parameters.MODEL_SERVER_MAX_WORKERS, DEFAULT_TS_MAX_WORKERS))
        self._response_timeout = int(os.environ.get(ts_parameters.MODEL_SERVER_RESPONSE_TIMEOUT,
                                                    DEFAULT_TS_RESPONSE_TIMEOUT))