code: def test_learner_empy_parameters_list():
      lr_per_sample = C.learning_parameter_schedule_per_sample(0.1)
      with pytest.raises(ValueError):
          learner = C.sgd([], lr_per_sample)
  
imports: from __future__ import division, print_function
  import numpy
  import cntk
  from cntk import parameter
  import pytest
  import sys
  import itertools
  from cntk.logging import ProgressPrinter
  from cntk.learners import sgd, learning_rate_schedule, learning_parameter_schedule, UnitType, universal
  from cntk.layers import Dense, Sequential
label_desc: Use image node_id 15 for calling a global function with example usage: test_learner_empy_parameters_list() without return types