code: def _generate_random_string(
      min_size: int = 2, max_size: int = 8
  ) -> str:
      size = random.randint(min_size, max_size)
      return "".join(
          [random.choice(string.ascii_lowercase) for _ in range(size)]
      )
  
imports: import random
  import string
  import sys
  from contextlib import contextmanager
  from io import StringIO
  from typing import Dict, List
  import caffe2.python.hypothesis_test_util
  import hypothesis.strategies
  import numpy
  import torch
  from hypothesis import given, settings
  from pytext.common.constants import SpecialTokens
  from pytext.data.tensorizers import LabelTensorizer
  from pytext.data.utils import Vocabulary
  from pytext.loss import CrossEntropyLoss
  from pytext.models.output_layers.doc_classification_output_layer import ClassificationOutputLayer
  from pytext.models.output_layers.intent_slot_output_layer import IntentSlotOutputLayer
  from pytext.models.output_layers.word_tagging_output_layer import CRFOutputLayer, WordTaggingOutputLayer
label_desc: Use image node_id 5 for calling the OutputLayerTest obj's underlying member method code with example usage: obj._generate_random_string(min_size, max_size) and returns: str