code: def test_single_chunked_and_chunked_artifact(self):
      file_name1 = "smallJar"
      file_name2 = "junitLargeJar"
      small_jar_path = os.path.join(
          self.artifact_file_path, f"{file_name1}.jar"
      )
      small_jar_crc_path = os.path.join(
          self.artifact_crc_path, f"{file_name1}.txt"
      )
      large_jar_path = os.path.join(
          self.artifact_file_path, f"{file_name2}.jar"
      )
      large_jar_crc_path = os.path.join(
          self.artifact_crc_path, f"{file_name2}.txt"
      )
      large_jar_size = os.path.getsize(large_jar_path)
  
      requests = list(
          self.artifact_manager._create_requests(
              small_jar_path,
              large_jar_path,
              small_jar_path,
              small_jar_path,
              pyfile=False,
              archive=False,
              file=False,
          )
      )
      # There are a total of 14 requests.
      # The 1st request contains a single artifact - smallJar.jar (There are no
      # other artifacts batched with it since the next one is large multi-chunk artifact)
      # Requests 2-13 (1-indexed) belong to the transfer of junitLargeJar.jar. This includes
      # the first "beginning chunk" and the subsequent data chunks.
      # The last request (14) contains two smallJar.jar batched
      # together.
      self.assertEqual(len(requests), 1 + 12 + 1)
  
      first_req_batch = requests[0].batch.artifacts
      self.assertEqual(len(first_req_batch), 1)
      self.assertEqual(
          first_req_batch[0].name,
          os.path.join("jars", f"{file_name1}.jar"),
      )
      with open(small_jar_crc_path) as f1, open(
          small_jar_path, "rb"
      ) as f2:
          self.assertEqual(
              first_req_batch[0].data.crc, int(f1.readline())
          )
          self.assertEqual(first_req_batch[0].data.data, f2.read())
  
      second_req_batch = requests[1]
      self.assertIsNotNone(second_req_batch.begin_chunk)
      begin_chunk = second_req_batch.begin_chunk
      self.assertEqual(
          begin_chunk.name, os.path.join("jars", f"{file_name2}.jar")
      )
      self.assertEqual(begin_chunk.total_bytes, large_jar_size)
      self.assertEqual(begin_chunk.num_chunks, 12)
      other_requests = requests[2:-1]
      data_chunks = [begin_chunk.initial_chunk] + [
          req.chunk for req in other_requests
      ]
  
      with open(large_jar_crc_path) as f1, open(
          large_jar_path, "rb"
      ) as f2:
          cscs = [chunk.crc for chunk in data_chunks]
          expected_cscs = [int(line.rstrip()) for line in f1]
          self.assertEqual(cscs, expected_cscs)
  
          binaries = [chunk.data for chunk in data_chunks]
          expected_binaries = list(
              iter(lambda: f2.read(ArtifactManager.CHUNK_SIZE), b"")
          )
          self.assertEqual(binaries, expected_binaries)
  
      last_request = requests[-1]
      self.assertIsNotNone(last_request.batch)
  
      batch = last_request.batch
      self.assertEqual(len(batch.artifacts), 2)
  
      artifact1 = batch.artifacts[0]
      self.assertTrue(artifact1.name.endswith(".jar"))
      artifact2 = batch.artifacts[1]
      self.assertTrue(artifact2.name.endswith(".jar"))
  
      self.assertEqual(
          os.path.join("jars", f"{file_name1}.jar"), artifact1.name
      )
      with open(small_jar_crc_path) as f1, open(
          small_jar_path, "rb"
      ) as f2:
          crc = int(f1.readline())
          data = f2.read()
          self.assertEqual(artifact1.data.crc, crc)
          self.assertEqual(artifact1.data.data, data)
          self.assertEqual(artifact2.data.crc, crc)
          self.assertEqual(artifact2.data.data, data)
  
imports: import hashlib
  import shutil
  import tempfile
  import unittest
  import os
  from pyspark.errors.exceptions.connect import SparkConnectGrpcException
  from pyspark.sql import SparkSession
  from pyspark.testing.connectutils import ReusedConnectTestCase, should_test_connect
  from pyspark.testing.utils import SPARK_HOME
  from pyspark import SparkFiles
  from pyspark.sql.functions import udf
label_desc: Use image node_id 8 for calling the ArtifactTests obj's underlying member method code with example usage: obj.test_single_chunked_and_chunked_artifact() without return types