code: def test_chainer(
      strftime,
      time,
      sagemaker_session,
      chainer_version,
      chainer_py_version,
  ):
      chainer = Chainer(
          entry_point=SCRIPT_PATH,
          role=ROLE,
          sagemaker_session=sagemaker_session,
          instance_count=INSTANCE_COUNT,
          instance_type=INSTANCE_TYPE,
          framework_version=chainer_version,
          py_version=chainer_py_version,
      )
  
      inputs = "s3://mybucket/train"
  
      chainer.fit(inputs=inputs)
  
      sagemaker_call_names = [
          c[0] for c in sagemaker_session.method_calls
      ]
      assert sagemaker_call_names == ["train", "logs_for_job"]
      boto_call_names = [
          c[0] for c in sagemaker_session.boto_session.method_calls
      ]
      assert boto_call_names == ["resource"]
  
      expected_train_args = _create_train_job(
          chainer_version, chainer_py_version
      )
      expected_train_args["input_config"][0]["DataSource"][
          "S3DataSource"
      ]["S3Uri"] = inputs
  
      actual_train_args = sagemaker_session.method_calls[0][2]
      assert actual_train_args == expected_train_args
  
      model = chainer.create_model()
  
      expected_image_base = "520713654638.dkr.ecr.us-west-2.amazonaws.com/sagemaker-chainer:{}-gpu-{}"
      assert {
          "Environment": {
              "SAGEMAKER_SUBMIT_DIRECTORY": "s3://mybucket/sagemaker-chainer-{}/source/sourcedir.tar.gz".format(
                  TIMESTAMP
              ),
              "SAGEMAKER_PROGRAM": "dummy_script.py",
              "SAGEMAKER_REGION": "us-west-2",
              "SAGEMAKER_CONTAINER_LOG_LEVEL": "20",
          },
          "Image": expected_image_base.format(
              chainer_version, chainer_py_version
          ),
          "ModelDataUrl": "s3://m/m.tar.gz",
      } == model.prepare_container_def(GPU)
  
      assert "cpu" in model.prepare_container_def(CPU)["Image"]
      predictor = chainer.deploy(1, GPU)
      assert isinstance(predictor, ChainerPredictor)
  
imports: from __future__ import absolute_import
  import logging
  import json
  import os
  from distutils.util import strtobool
  import pytest
  from mock import MagicMock, Mock, ANY
  from mock import patch
  from sagemaker.chainer import defaults
  from sagemaker.chainer import Chainer
  from sagemaker.chainer import ChainerPredictor, ChainerModel
  from sagemaker.session_settings import SessionSettings
label_desc: Use image node_id 10 for calling a global function with example usage: test_chainer(strftime, time, sagemaker_session, chainer_version, chainer_py_version) without return types