class_docstr: This class tests the basic functionality of the Python bindings.
class_docstr_tok: ["This","class","tests","the","basic","functionality","of","the","Python","bindings","."]
docstr: First create a GaussianKernel object, then send it back and make sure we get
  the right double value.
docstr_tok: ["First","create","a","GaussianKernel","object",",","then","send","it","back","and","make","sure","we","get","the","right","double","value","."]
code: def testModelForceCopy(self):
      """
      First create a GaussianKernel object, then send it back and make sure we get
      the right double value.
      """
      output = test_python_binding(
          string_in="hello",
          int_in=12,
          double_in=4.0,
          mat_req_in=[[1.0]],
          col_req_in=[1.0],
          build_model=True,
      )
  
      output2 = test_python_binding(
          string_in="hello",
          int_in=12,
          double_in=4.0,
          mat_req_in=[[1.0]],
          col_req_in=[1.0],
          model_in=output["model_out"],
          copy_all_inputs=True,
      )
  
      output3 = test_python_binding(
          string_in="hello",
          int_in=12,
          double_in=4.0,
          mat_req_in=[[1.0]],
          col_req_in=[1.0],
          model_in=output["model_out"],
      )
  
      self.assertEqual(output2["model_bw_out"], 20.0)
      self.assertEqual(output3["model_bw_out"], 20.0)
  
imports: import unittest
  import pandas
  import numpy
  import copy
  from mlpack.test_python_binding import test_python_binding
label_desc: Use image node_id 57 for calling the TestPythonBinding obj's underlying member method code with example usage: obj.testModelForceCopy() without return types