code: def test_regression_metrics_unweighted_average_multioutput(
      metric_pairs, multioutput
  ):
      m1, m2 = metric_pairs
  
      a = da.random.uniform(size=(100,), chunks=(25,))
      b = da.random.uniform(size=(100,), chunks=(25,))
  
      result = m1(a, b, multioutput=multioutput)
      expected = m2(a, b, multioutput=multioutput)
      assert abs(result - expected) < 1e-5
  
file_path: dask-ml/tests/metrics/test_regression.py
imports: import numbers
  import dask.array
  import numpy
  import pytest
  import sklearn.metrics
  from dask.array.utils import assert_eq
  import dask_ml.metrics
label_desc: Use image node_id 4 for calling a global function with example usage: test_regression_metrics_unweighted_average_multioutput(metric_pairs, multioutput) without return types