code: def test_local_polynomial_interpolation_correct(
      get_time_series: Callable,
  ):
      gap_arr = get_time_series()
      simple_gapfill = SimpleGapFiller(gap_value=-100)
      without_gap_local_poly = simple_gapfill.local_poly_approximation(
          gap_arr
      )
  
      assert (
          len(np.ravel(np.argwhere(without_gap_local_poly == -100)))
          == 0
      )
  
imports: import numpy
  import pytest
  from sklearn.metrics import mean_squared_error
  from typing import Callable
  from examples.simple.time_series_forecasting.gapfilling import get_array_with_gaps
  from fedot.utilities.ts_gapfilling import ModelGapFiller, SimpleGapFiller
  from test.unit.tasks.test_forecasting import get_simple_ts_pipeline
label_desc: Use image node_id 16 for calling a global function with example usage: test_local_polynomial_interpolation_correct(get_time_series) without return types