text: import argparse
  import logging
  import unittest
  import os
  import shutil
  import sys
  import traceback
  import numpy as np
  from pathlib import Path
  from bfio.bfio import BioWriter
  
  """
  This file is autogenerated from an ImageJ plugin generation pipeline. 
  It is not intended to be run directly. Run imagej-testing/shell_test.py to begin testing.
  """
  
  # Get plugin directory
  plugin_dir = Path(__file__).parents[1]
  sys.path.append(str(plugin_dir))
  
  # Get src directory
  src_path = plugin_dir.joinpath("src")
  sys.path.append(str(src_path))
  
  from src.main import main
  
  
  class UnitTest(unittest.TestCase):
      @classmethod
      def setUpClass(cls) -> None:
          # Set up logger for unit tests
          cls.logger = logging.getLogger(__name__)
          cls.logger.setLevel(logging.INFO)
          formatter = logging.Formatter("%(levelname)s:%(message)s")
          file_handler = logging.FileHandler("imagej-testing/unit-test.log")
          file_handler.setFormatter(formatter)
          cls.logger.addHandler(file_handler)
  
          # Set up new log for summary of passed and failed tests
          cls.summary = logging.getLogger("summary")
          cls.summary.setLevel(logging.INFO)
          formatter = logging.Formatter("%(levelname)s:%(message)s")
          file_handler = logging.FileHandler("imagej-testing/test-summary.log")
          file_handler.setFormatter(formatter)
          cls.summary.addHandler(file_handler)
  
      def generate_data(self, input, wipp_type, imagej_type):
  
          numpy_types = {
              "double": np.float64,
              "float": np.float32,
              "long": np.int64,  # np.int64 not supported by bfio
              "int": np.int32,
              "short": np.int16,
              "char": np.ubyte,  # np.ubyte not supported by bfio
              "byte": np.int8,
              "boolean": np.bool_,  # np.bool_ not supported by bfio
          }
  
          if wipp_type == None:
              return None
  
          # Determine if the input data type is a collection
          elif wipp_type == "collection":
  
              if imagej_type == None:
                  dtype = np.double
  
              elif imagej_type in numpy_types.keys():
                  dtype = numpy_types[imagej_type]
  
              else:
                  dtype = np.double
  
              # Create input and output path objects for the randomly generated image file
              input_path = Path(__file__).parent.joinpath(
                  "{}/random.ome.tif".format(input)
              )
              # self.outputPath = Path(__file__).parent.joinpath('output/random.ome.tif')
  
              # Check if "input" is a sub-directory of "tests"
              if input_path.parent.exists():
  
                  # Remove the "input" sub-directory
                  shutil.rmtree(input_path.parent)
  
              # Create input and output sub-directories in tests
              os.mkdir(input_path.parent)
  
              """Using auto generated images"""
  
              # Create a random image to be used for plugin testing
              infile = None
              outfile = None
              image_size = 2048
              image_shape = (image_size, image_size)
              random_image = np.random.randint(
                  low=0, high=255, size=image_shape, dtype=np.uint16
              )
  
              array = dtype(random_image)
  
              # Create a BioWriter object to write the ramdomly generated image file to tests/input dir
              with BioWriter(input_path) as writer:
                  writer.X = image_shape[0]
                  writer.Y = image_shape[1]
                  writer.dtype = array.dtype
                  writer[:] = array[:]
                  # Not neccessary: writer.close()
  
              """Using sample images"""
              # # TODO: use Imagej sample data for unit testing
              # # Get input source directory
              # test_path = Path(__file__)
              # input_path = test_path.with_name('input')
  
              # # Create input directory in plugin test directory path
              # input_path = Path(__file__).with_name(input)
  
              # # Check if the input path already exists as a a sub-directory of "tests"
              # if input_path.exists():
  
              #     # Remove the "input" sub-directory
              #     shutil.rmtree(input_path)
  
              # # Copy sample images to input folder
              # shutil.copytree(sample_dir, input_path)
  
              return input_path.parent
  
          elif wipp_type == "array":
              # arr = np.random.rand(2048,2048)
              arr = "1,2"
              return arr
  
          elif wipp_type == "number":
              number = np.random.randint(5)
              return number
  
          else:
              self.logger.info(
                  "FAILURE: The data type, {}, of input, {}, is currently not supported\n".format(
                      wipp_type, input
                  )
              )
              raise TypeError("The input data type is not currently supported")
  
      def output_handler(self, output, dtype):
          if dtype == "collection":
  
              # Create output path object for the plugin output
              output_path = Path(__file__).with_name(output)
  
              # Check if output is a sub-directory of "tests" directory
              if output_path.exists():
  
                  # Delete the "output" sub-directory
                  shutil.rmtree(output_path)
  
              # Create output as sub-directory of tests
              os.mkdir(output_path)
  
              return output_path
  
      def test_plugin(self):
  
          projectName = "ImageJ threshold huang"
          self.logger.info(
              "Testing the op: {} with overloading option: {}".format(projectName, op)
          )
  
          method_call_types = {}
  
          supported_data_types = [
              "double",
              "float",
              "long",
              "int",
              "short",
              "char",
              "byte",
              "boolean",
          ]
  
          # Get WIPP and ImageJ data types
          _opName = op
          _in1_wipp_types = {"ApplyThresholdMethod$Huang": "collection"}
          _in1_imagej_types = {"ApplyThresholdMethod$Huang": "IterableInterval"}
          if _in1_wipp_types.get(op, None) != "collection":
              method_call_types.update(
                  {
                      method: dtype
                      for method, dtype in _in1_imagej_types.items()
                      if dtype in supported_data_types
                  }
              )
          # Generate data for the inputs
          _in1 = self.generate_data(
              "in1", _in1_wipp_types.get(op, None), method_call_types.get(op, None)
          )
          # Handle the op output
          _out = self.output_handler("out", "collection")
          try:
              # Call the op
              main(_opName=_opName, _in1=_in1, _out=_out)
              self.logger.info(
                  "SUCCESS: op: {} with option {} was successful\n".format(
                      projectName, op
                  )
              )
              self.summary.info("1")
          except Exception:
              self.logger.info(
                  "FAILURE: op: {} with option {} was NOT successful".format(
                      projectName, op
                  )
                  + "\n"
                  + str(sys.exc_info())
              )
              self.logger.info(traceback.format_exc() + "\n")
              self.summary.info("0")
  
  
  if __name__ == "__main__":
  
      # Instantiate a parser for command line arguments
      parser = argparse.ArgumentParser(prog="unit_test", description="Test imagej plugin")
  
      # Add command-line argument for each of the input arguments
      parser.add_argument(
          "--opName", dest="opName", type=str, help="Operation to test", required=True
      )
  
      """ Parse the arguments """
      args = parser.parse_args()
  
      # Input Args
      op = args.opName
  
      del sys.argv[1:]
      unittest.main()
  