docstr: Processes incoming messages and computes and sets features.
docstr_tok: ["Processes","incoming","messages","and","computes","and","sets","features","."]
code: def process(self, messages: List[Message]) -> List[Message]:
      """Processes incoming messages and computes and sets features."""
      for message in messages:
          for attribute in DENSE_FEATURIZABLE_ATTRIBUTES:
              self._set_features(message, attribute)
      return messages
  
imports: import numpy
  import logging
  from bpemb import BPEmb
  from typing import Any, Text, Dict, List, Type
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.engine.graph import ExecutionContext, GraphComponent
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.nlu.featurizers.dense_featurizer.dense_featurizer import DenseFeaturizer
  from rasa.nlu.tokenizers.tokenizer import Tokenizer
  from rasa.shared.nlu.training_data.training_data import TrainingData
  from rasa.shared.nlu.training_data.features import Features
  from rasa.shared.nlu.training_data.message import Message
  from rasa.nlu.constants import DENSE_FEATURIZABLE_ATTRIBUTES, FEATURIZER_CLASS_ALIAS
  from rasa.shared.nlu.constants import TEXT, TEXT_TOKENS, FEATURE_TYPE_SENTENCE, FEATURE_TYPE_SEQUENCE
label_desc: Use image node_id 6 for calling the BytePairFeaturizer obj's underlying member method code with example usage: obj.process(messages) and returns: messages