code: def __init__(
      self,
      easyocr_module,
      test_data="./data/EasyOcrUnitTestPackage.pickle",
      image_data_dir="../examples",
      verbose=0,
      numeric_acceptance_error=0.1,
  ):
      self.verbose = verbose
  
      easy_ocr_init = os.path.join(easyocr_module, "__init__.py")
      if not os.path.isfile(easy_ocr_init):
          raise FileNotFoundError(
              "Invalid easyocr_module. The directory should contain __init__.py."
          )
  
      spec = importlib.util.spec_from_file_location(
          "easyocr", easy_ocr_init
      )
      easyocr = importlib.util.module_from_spec(spec)
      sys.modules["easyocr"] = easyocr
      spec.loader.exec_module(easyocr)
  
      self.easyocr = easyocr
      if not hasattr(self.easyocr, "utils"):
          setattr(
              self.easyocr,
              "utils",
              importlib.import_module("easyocr.utils"),
          )
      if not hasattr(self.easyocr, "detection"):
          setattr(
              self.easyocr,
              "detection",
              importlib.import_module("easyocr.detection"),
          )
      if not hasattr(self.easyocr, "recognition"):
          setattr(
              self.easyocr,
              "recognition",
              importlib.import_module("easyocr.recognition"),
          )
  
      self.easyocr_dir = os.path.dirname(easyocr.__file__)
  
      print(
          "Unit test is set for EasyOCR at {}".format(
              os.path.abspath(self.easyocr_dir)
          )
      )
  
      self.image_data_dir = image_data_dir
  
      self.set_data(test_data)
      self.set_easyocr()
      self.numeric_acceptance_error = numeric_acceptance_error
  
imports: import os
  import sys
  import importlib
  import pickle
  import lzma
  import PIL.Image
  import numpy
  import torch
label_desc: Use image node_id 1 to create a new UnitTest object  with example: obj = UnitTest(easyocr_module, test_data, image_data_dir, verbose, numeric_acceptance_error)