code: def setUp(self):
      self.client = unittest.mock.MagicMock()
  
      client._client_manager.clients["model"] = self.client
  
      # TODO(markdaoust): Check if typechecking works better if wee define this as a
      #                   subclass of `glm.ModelServiceClient`, would pyi files for `glm` help?
      def add_client_method(f):
          name = f.__name__
          setattr(self.client, name, f)
          return f
  
      self.observed_requests = []
      self.responses = {}
  
      @add_client_method
      def get_model(
          request: Union[glm.GetModelRequest, None] = None, *, name=None
      ) -> glm.Model:
          if request is None:
              request = glm.GetModelRequest(name=name)
          self.assertIsInstance(request, glm.GetModelRequest)
          self.observed_requests.append(request)
          response = copy.copy(self.responses["get_model"])
          return response
  
      @add_client_method
      def get_tuned_model(
          request: Union[glm.GetTunedModelRequest, None] = None,
          *,
          name=None,
      ) -> glm.TunedModel:
          if request is None:
              request = glm.GetTunedModelRequest(name=name)
          self.assertIsInstance(request, glm.GetTunedModelRequest)
          self.observed_requests.append(request)
          response = copy.copy(self.responses["get_tuned_model"])
          return response
  
      @add_client_method
      def list_models(
          request: Union[glm.ListModelsRequest, None] = None,
          *,
          page_size=None,
          page_token=None,
      ) -> glm.ListModelsResponse:
          if request is None:
              request = glm.ListModelsRequest(
                  page_size=page_size, page_token=page_token
              )
          self.assertIsInstance(request, glm.ListModelsRequest)
          self.observed_requests.append(request)
          response = self.responses["list_models"]
          return (item for item in response)
  
      @add_client_method
      def list_tuned_models(
          request: glm.ListTunedModelsRequest = None,
          *,
          page_size=None,
          page_token=None,
      ) -> Iterable[glm.TunedModel]:
          if request is None:
              request = glm.ListTunedModelsRequest(
                  page_size=page_size, page_token=page_token
              )
          self.assertIsInstance(request, glm.ListTunedModelsRequest)
          self.observed_requests.append(request)
          response = self.responses["list_tuned_models"]
          return (item for item in response)
  
      @add_client_method
      def update_tuned_model(
          request: glm.UpdateTunedModelRequest,
      ) -> glm.TunedModel:
          self.observed_requests.append(request)
          response = self.responses.get("update_tuned_model", None)
          if response is None:
              response = request.tuned_model
          return response
  
      @add_client_method
      def delete_tuned_model(name):
          request = glm.DeleteTunedModelRequest(name=name)
          self.observed_requests.append(request)
          response = True
          return response
  
      @add_client_method
      def create_tuned_model(request):
          request = glm.CreateTunedModelRequest(request)
          self.observed_requests.append(request)
          return self.responses["create_tuned_model"]
  
imports: import copy
  from collections.abc import Iterable
  import datetime
  import dataclasses
  import pathlib
  import pytz
  from typing import Any, Union
  import unittest
  from unittest import mock
  from absl.testing import absltest
  from absl.testing import parameterized
  import google.ai.generativelanguage
  from google.api_core import operation
  from google.generativeai import models
  from google.generativeai import client
  from google.generativeai.types import model_types
  import pandas
label_desc: Use image node_id 1 for calling the UnitTests obj's underlying member method code with example usage: obj.setUp() and returns: f, response, response, unknown, unknown, response, response, self