code: def test_optimizer_wrapper(self):
      self.start_tests(name="optimizer-wrapper")
  
      self.unittest(
          optimizer=dict(
              optimizer="adam",
              learning_rate=1e-1,
              clipping_threshold=1e-2,
              multi_step=5,
              subsampling_fraction=0.5,
              linesearch_iterations=3,
              doublecheck_update=True,
          )
      )
  
      self.unittest(
          optimizer=dict(optimizer="adam", subsampling_fraction=2)
      )
  
file_path: tensorforce/test/test_optimizers.py
imports: import unittest
  from test.unittest_base import UnittestBase
label_desc: Use image node_id 2 for calling the TestOptimizers obj's underlying member method code with example usage: obj.test_optimizer_wrapper() without return types