code: def test_sample_count_with_several_distributed_learners():
      str_out = mpiexec_execute(__file__, ["-n", "2"], [])
  
      results = re.findall("Completed with exception.", str_out)
      if len(results) != 0:
          print(str_out)
          assert False
  
      results = re.findall("Completed successfully.", str_out)
      if len(results) != 2:
          print(str_out)
          assert False
  
file_path: CNTK/Tests/EndToEndTests/CNTKv2Python/Examples/multiple_distributed_learners_test.py
imports: import os
  import sys
  from cntk import Function
  from cntk import parameter, plus
  from cntk.io import MinibatchSource, StreamDef, StreamDefs
  from cntk.losses import squared_error
  import re
  import cntk
  from distributed_common import mpiexec_execute
label_desc: Use image node_id 1 for calling a global function with example usage: test_sample_count_with_several_distributed_learners() without return types