code: def get_simple_composer_params() -> dict:
      params = {
          "max_depth": 2,
          "max_arity": 3,
          "pop_size": 2,
          "num_of_generations": 2,
          "with_tuning": True,
          "preset": "fast_train",
          "show_progress": False,
      }
      return params
  
imports: import numpy
  import pytest
  from sklearn.datasets import make_regression
  from sklearn.metrics import mean_squared_error
  from fedot import Fedot
  from fedot.core.data.data import InputData
  from fedot.core.data.data_split import train_test_data_setup
  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
  from test.unit.common_tests import is_predict_ignores_target
  from test.unit.composer.test_metrics import data_setup
label_desc: Use image node_id 2 for calling a global function with example usage: get_simple_composer_params() and returns: params