code: def test_search_in_repository_by_tag_and_metainfo_correct():
      with OperationTypesRepository() as repo:
          model_names = repo.suitable_operation(
              task_type=TaskTypesEnum.regression, tags=["ml"]
          )
  
          assert "linear" in model_names
          assert len(model_names) == 14
  
file_path: FEDOT/test/integration/models/test_repository.py
imports: import json
  import os
  from fedot.core.operations.evaluation.classification import SkLearnClassificationStrategy
  from fedot.core.repository.json_evaluation import import_enums_from_str, import_strategy_from_str, read_field
  from fedot.core.repository.operation_types_repository import OperationTypesRepository, get_operation_type_from_id
  from fedot.core.repository.pipeline_operation_repository import PipelineOperationRepository
  from fedot.core.repository.tasks import Task, TaskTypesEnum
label_desc: Use image node_id 3 for calling a global function with example usage: test_search_in_repository_by_tag_and_metainfo_correct() without return types