code: def _get_partition_metrics(coef: int) -> metrics.PartitionsInfo:
      return metrics.PartitionsInfo(
          public_partitions=False,
          num_dataset_partitions=coef,
          num_non_public_partitions=2 * coef,
          num_empty_partitions=3 * coef,
          kept_partitions=metrics.MeanVariance(10 * coef, 11 * coef),
      )
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  import dataclasses
  import math
  from unittest import mock
  from unittest.mock import patch
  from analysis import metrics
  from analysis import cross_partition_combiners
  import pipeline_dp
label_desc: Use image node_id 2 for calling a global function with example usage: _get_partition_metrics(coef) and returns: metrics