code: def test_differencer_remove_missing_false(
      y, lags, na_handling, index_type
  ):
      """Test transform against inverse_transform."""
      if index_type == "int":
          y = y.reset_index(drop=True)
  
      transformer = Differencer(lags=lags, na_handling=na_handling)
      y_transform = transformer.fit_transform(y)
  
      # if na_handling is fill_zero, get rid of the zeros for reconstruction
      if na_handling == "fill_zero":
          y_transform = y_transform[24:]
          y = y[24:]
  
      y_reconstructed = transformer.inverse_transform(y_transform)
  
      _assert_array_almost_equal(y, y_reconstructed)
  
file_path: sktime/sktime/transformations/series/tests/test_differencer.py
imports: import numpy
  import pandas
  import pytest
  from sktime.datasets import load_airline
  from sktime.transformations.series.difference import Differencer
  from sktime.utils._testing.estimator_checks import _assert_array_almost_equal
  from sktime.utils.validation._dependencies import _check_soft_dependencies
label_desc: Use image node_id 3 for calling a global function with example usage: test_differencer_remove_missing_false(y, lags, na_handling, index_type) without return types