code: def _create_paramters():
      split_years = testing.product(
          {"split": ["train", "val"], "year": ["2014", "2017"]}
      )
      split_years += [
          {"split": "minival", "year": "2014"},
          {"split": "valminusminival", "year": "2014"},
      ]
      use_and_return_args = testing.product(
          {
              "use_crowded": [False, True],
              "return_crowded": [False, True],
              "return_area": [False, True],
          }
      )
      params = testing.product_dict(split_years, use_and_return_args)
      return params
  
file_path: chainercv/tests/datasets_tests/coco_tests/test_coco_bbox_dataset.py
imports: import unittest
  import numpy
  from chainer import testing
  from chainer.testing import attr
  from chainercv.datasets import coco_bbox_label_names
  from chainercv.datasets import COCOBboxDataset
  from chainercv.utils import assert_is_bbox_dataset
label_desc: Use image node_id 1 for calling a global function with example usage: _create_paramters() and returns: params