code: def store_text_prediction(self, prediction, sample_id, output_dir):
      pass
  
file_path: calamari/calamari_ocr/ocr/dataset/datareader/generated_line_dataset/dataset.py
imports: import logging
  import random
  from multiprocessing import Process, Queue, Manager
  import numpy
  from tfaip.data.pipeline.definitions import PipelineMode
  from calamari_ocr.ocr.dataset.datareader.base import CalamariDataGenerator, InputSample, SampleMeta
  from calamari_ocr.ocr.dataset.datareader.generated_line_dataset.params import GeneratedLineDatasetParams
  from calamari_ocr.ocr.dataset.datareader.generated_line_dataset.line_generator import LineGenerator
  from calamari_ocr.ocr.dataset.datareader.generated_line_dataset.text_generation.text_generator import TextGenerator
label_desc: Use image node_id 2 for calling the GeneratedLineDataset obj's underlying member method code with example usage: obj.store_text_prediction(prediction, sample_id, output_dir) without return types