code: def test_data_merge_in_pipeline():
      """Test check is the pipeline can correctly work with dynamic changes in
      tables during the fit process
      """
  
      #   ridge
      #  /     \ (merge operation)
      # |   ransac_lin_reg (remove several lines in table)
      #  \     /
      #  scaling
  
      node_scaling = PipelineNode("scaling")
  
      node_lin_ransac = PipelineNode(
          "ransac_lin_reg", nodes_from=[node_scaling]
      )
      node_final = PipelineNode(
          "ridge", nodes_from=[node_lin_ransac, node_scaling]
      )
      pipeline = Pipeline(node_final)
  
      features_options = {"informative": 2, "bias": 2.0}
      x_train, y_train, x_test, y_test = get_regression_dataset(
          features_options=features_options,
          samples_amount=100,
          features_amount=5,
      )
      # Define regression task
      task = Task(TaskTypesEnum.regression)
  
      # Prepare data to train the model
      train_input = InputData(
          idx=np.arange(0, len(x_train)),
          features=x_train,
          target=y_train,
          task=task,
          data_type=DataTypesEnum.table,
      )
  
      # Fit and predict
      pipeline.fit_from_scratch(train_input)
      prediction = pipeline.predict(train_input)
  
      assert prediction is not None
  
imports: import operator
  from itertools import product, repeat
  from typing import List
  import numpy
  import pytest
  from examples.simple.regression.regression_with_tuning import get_regression_dataset
  from fedot.core.data.data import InputData, OutputData
  from fedot.core.data.merge.data_merger import DataMerger
  from fedot.core.data.supplementary_data import SupplementaryData
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.tasks import Task, TaskTypesEnum
label_desc: Use image node_id 7 for calling a global function with example usage: test_data_merge_in_pipeline() without return types