old_contents: import logging
  import os
  
  import pytest
  
  from rasa.nlu import config, train
  from rasa.nlu.components import ComponentBuilder
  from rasa.utils.tensorflow.constants import EPOCHS
  
  CONFIG_DEFAULTS_PATH = "sample_configs/config_defaults.yml"
  
  NLU_DEFAULT_CONFIG_PATH = "sample_configs/config_pretrained_embeddings_mitie.yml"
  
  DEFAULT_DATA_PATH = "data/examples/rasa/demo-rasa.json"
  
  NLU_MODEL_NAME = "nlu_model.tar.gz"
  
  MOODBOT_MODEL_PATH = "examples/moodbot/models/"
  
  
  @pytest.fixture(scope="session")
  def component_builder():
      return ComponentBuilder()
  
  
  @pytest.fixture(scope="session")
  def spacy_nlp(component_builder, default_config):
      spacy_nlp_config = {"name": "SpacyNLP"}
      return component_builder.create_component(spacy_nlp_config, default_config).nlp
  
  
  @pytest.fixture(scope="session")
  def spacy_nlp_component(component_builder, default_config):
      spacy_nlp_config = {"name": "SpacyNLP"}
      return component_builder.create_component(spacy_nlp_config, default_config)
  
  
  @pytest.fixture(scope="session")
  def ner_crf_pos_feature_config():
      return {
          "features": [
              ["low", "title", "upper", "pos", "pos2"],
              ["low", "suffix3", "suffix2", "upper", "title", "digit", "pos", "pos2"],
              ["low", "title", "upper", "pos", "pos2"],
          ],
          EPOCHS: 3,
      }
  
  
  @pytest.fixture(scope="session")
  def mitie_feature_extractor(component_builder, default_config):
      mitie_nlp_config = {"name": "MitieNLP"}
      return component_builder.create_component(
          mitie_nlp_config, default_config
      ).extractor
  
  
  @pytest.fixture(scope="session")
  def default_config():
      return config.load(CONFIG_DEFAULTS_PATH)
  
new_contents: import logging
  import os
  
  import pytest
  
  from rasa.nlu import config, train
  from rasa.nlu.components import ComponentBuilder
  from rasa.utils.tensorflow.constants import EPOCHS
  
  CONFIG_DEFAULTS_PATH = "sample_configs/config_defaults.yml"
  
  NLU_DEFAULT_CONFIG_PATH = "sample_configs/config_pretrained_embeddings_mitie.yml"
  
  DEFAULT_DATA_PATH = "data/examples/rasa/demo-rasa.json"
  
  NLU_MODEL_NAME = "nlu_model.tar.gz"
  
  MOODBOT_MODEL_PATH = "examples/moodbot/models/"
  
  
  @pytest.fixture(scope="session")
  def component_builder():
      return ComponentBuilder()
  
  
  @pytest.fixture(scope="session")
  def spacy_nlp(component_builder, default_config):
      spacy_nlp_config = {"name": "SpacyNLP"}
      return component_builder.create_component(spacy_nlp_config, default_config).nlp
  
  
  @pytest.fixture(scope="session")
  def spacy_nlp_component(component_builder, default_config):
      spacy_nlp_config = {"name": "SpacyNLP"}
      return component_builder.create_component(spacy_nlp_config, default_config)
  
  
  @pytest.fixture(scope="session")
  def ner_crf_pos_feature_config():
      return {
          "features": [
              ["low", "title", "upper", "pos", "pos2"],
              ["low", "suffix3", "suffix2", "upper", "title", "digit", "pos", "pos2"],
              ["low", "title", "upper", "pos", "pos2"],
          ]
      }
  
  
  @pytest.fixture(scope="session")
  def mitie_feature_extractor(component_builder, default_config):
      mitie_nlp_config = {"name": "MitieNLP"}
      return component_builder.create_component(
          mitie_nlp_config, default_config
      ).extractor
  
  
  @pytest.fixture(scope="session")
  def default_config():
      return config.load(CONFIG_DEFAULTS_PATH)
  
subject: fix crf entity extractor test