code: def test_gaussian_cdf():
      pytest.importorskip("scipy")
      from scipy.stats import norm
  
      x = np.array(
          [-1000, -100, -10]
          + np.linspace(-2, 2, 1001).tolist()
          + [10, 100, 1000]
      )
      y_gluonts = (
          transform.CDFtoGaussianTransform.standard_gaussian_cdf(x)
      )
      y_scipy = norm.cdf(x)
  
      assert np.allclose(y_gluonts, y_scipy, atol=1e-7)
  
imports: from typing import Tuple, List
  import numpy
  import pandas
  from pandas.tseries.frequencies import to_offset
  import pytest
  import gluonts
  from gluonts import time_feature, transform
  from gluonts.core import fqname_for
  from gluonts.core.serde import dump_json, load_json
  from gluonts.dataset.common import DataEntry, ListDataset
  from gluonts.dataset.field_names import FieldName
  from gluonts.dataset.stat import ScaleHistogram, calculate_dataset_statistics
  from gluonts.transform import CausalMeanValueImputation, DummyValueImputation, LastValueImputation, MeanValueImputation, RollingMeanValueImputation, Valmap
  from gluonts.transform.convert import ToIntervalSizeFormat, erf, erfinv
  from gluonts.transform.feature import CountTrailingZeros
label_desc: Use image node_id 13 for calling a global function with example usage: test_gaussian_cdf() without return types