class_docstr: Customizes the behavior of a particular parameter.
docstr: Replace user-provided arguments before they are passed to a test.
  
  This makes it possible to adjust user-provided arguments before passing
  them to the test method.
  
  Args:
    kwargs:  The combined arguments for the test.
    requested_parameters: The set of parameters that are defined in the
      signature of the test method.
  
  Returns:
    A dictionary with updates to `kwargs`.  Keys with values set to
    `ParameterModifier.DO_NOT_PASS_TO_THE_TEST` are going to be deleted and
    not passed to the test.
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code: def modified_arguments(self, kwargs, requested_parameters):
      """Replace user-provided arguments before they are passed to a test.
  
      This makes it possible to adjust user-provided arguments before passing
      them to the test method.
  
      Args:
        kwargs:  The combined arguments for the test.
        requested_parameters: The set of parameters that are defined in the
          signature of the test method.
  
      Returns:
        A dictionary with updates to `kwargs`.  Keys with values set to
        `ParameterModifier.DO_NOT_PASS_TO_THE_TEST` are going to be deleted and
        not passed to the test.
      """
      del kwargs, requested_parameters
      return {}
  
imports: from collections import OrderedDict
  import contextlib
  import types
  import unittest
  from absl.testing import parameterized
  import six
  from tensorflow.python.util import tf_inspect
label_desc: Use image node_id 2 for calling the ParameterModifier obj's underlying member method code with example usage: obj.modified_arguments(kwargs, requested_parameters) and returns: dict