code: def test_standard_quantiles_similar_outcomes_with_normal_dist(self):
      gen = np.random.default_rng(44)
      for shift in np.linspace(0, 2, 10):
          array1 = gen.standard_normal(1000)
          array2 = shift + gen.standard_normal(1000)
          js_standard = get_js(
              array1, array2, schema_pb2.HistogramSelection.STANDARD
          )
          js_quantiles = get_js(
              array1, array2, schema_pb2.HistogramSelection.QUANTILES
          )
          self.assertAlmostEqual(js_standard, js_quantiles, delta=0.1)
  
file_path: data-validation/tensorflow_data_validation/integration_tests/drift_skew_metrics_test.py
imports: from absl import flags
  from absl.testing import absltest
  import numpy
  import pandas
  import tensorflow_data_validation
  from tensorflow_metadata.proto.v0 import schema_pb2
label_desc: Use image node_id 1 for calling the DriftSkewMetricsTest obj's underlying member method code with example usage: obj.test_standard_quantiles_similar_outcomes_with_normal_dist() without return types