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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get(object_ids):
 """Get a remote object or a list of remote objects from the object store. This method blocks until the object corresponding to the object ID is available in the local object store. If this object is not in the local object store, it will be shipped from an object store that has it (once the object has been created). If object_ids is a list, then the objects corresponding to each object in the list will be returned. Args: object_ids: Object ID of the object to get or a list of object IDs to get. Returns: A Python object or a list of Python objects. Raises: Exception: An exception is raised if the task that created the object or that created one of the objects raised an exception. """

    worker = global_worker
    worker.check_connected()
    with profiling.profile("ray.get"):
        if worker.mode == LOCAL_MODE:
            # In LOCAL_MODE, ray.get is the identity operation (the input will
            # actually be a value not an objectid).
            return object_ids
        global last_task_error_raise_time
        if isinstance(object_ids, list):
            values = worker.get_object(object_ids)
            for i, value in enumerate(values):
                if isinstance(value, RayError):
                    last_task_error_raise_time = time.time()
                    raise value
            return values
        else:
            value = worker.get_object([object_ids])[0]
            if isinstance(value, RayError):
                # If the result is a RayError, then the task that created
                # this object failed, and we should propagate the error message
                # here.
                last_task_error_raise_time = time.time()
                raise value
            return value