code: def test_empty_pipeline_to_json_correctly():
      json_path_load = create_correct_path(
          "test_empty_pipeline_convert_to_json"
      )
  
      pipeline = Pipeline()
      pipeline_template = PipelineTemplate(pipeline)
      json_actual = pipeline_template.convert_to_dict()
  
      with open(json_path_load, "r") as json_file:
          json_expected = json.load(json_file)
  
      assert json.dumps(json_actual) == json.dumps(json_expected)
  
imports: import json
  import os
  import shutil
  import numpy
  import pytest
  from sklearn.metrics import mean_absolute_error
  from fedot import Fedot
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.pipelines.template import PipelineTemplate, extract_subtree_root
  from fedot.core.repository.tasks import Task, TaskTypesEnum
  from fedot.core.utils import fedot_project_root
  from test.integration.api.test_main_api import get_dataset
  from test.unit.data_operations.test_data_operations_implementations import get_mixed_data
  from test.unit.multimodal.data_generators import get_single_task_multimodal_tabular_data
  from test.unit.pipelines.test_decompose_pipelines import get_classification_data
  from test.unit.preprocessing.test_preprocessing_through_api import data_with_spaces_and_nans_in_features
  from test.unit.tasks.test_forecasting import get_multiscale_pipeline, get_simple_ts_pipeline, get_ts_data
label_desc: Use image node_id 16 for calling a global function with example usage: test_empty_pipeline_to_json_correctly() without return types