code: def test_gpu_preset():
      task = Task(TaskTypesEnum.classification)
      preset_gpu = OperationsPreset(task=task, preset_name="gpu")
      operations_for_gpu = preset_gpu.filter_operations_by_preset()
      assert len(operations_for_gpu) > 0
  
      # return repository state after test
      OperationTypesRepository.assign_repo(
          "model", "model_repository.json"
      )
  
file_path: FEDOT/test/unit/api/test_presets.py
imports: from fedot import Fedot
  from fedot.api.api_utils.api_params_repository import ApiParamsRepository
  from fedot.api.api_utils.presets import OperationsPreset
  from fedot.core.constants import FAST_TRAIN_PRESET_NAME
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.repository.operation_types_repository import OperationTypesRepository, get_operations_for_task
  from fedot.core.repository.tasks import Task, TaskTypesEnum
  from test.data.datasets import data_with_binary_features_and_categorical_target
label_desc: Use image node_id 6 for calling a global function with example usage: test_gpu_preset() without return types