code: def matthews_corrcoef(
      target: np.ndarray, prediction: np.ndarray
  ) -> Dict[str, float]:
      """Returns Matthews correlation coefficient (MCC)."""
      return {
          "matthews_corrcoef": sklearn.metrics.matthews_corrcoef(
              target, prediction
          )
      }
  
imports: import functools
  from typing import Any, Dict, List, Mapping, Optional, Tuple, Union
  from absl import logging
  from clu import metric_writers
  import flax
  from flax import jax_utils
  import flax.linen
  import jax
  import jax.numpy
  import jax.profiler
  import ml_collections
  import numpy
  from scenic.common_lib import debug_utils
  from scenic.train_lib import optimizers
  from scenic.train_lib import train_utils
  import scipy
  import sklearn.metrics
label_desc: Use image node_id 3 for calling a global function with example usage: matthews_corrcoef(target, prediction) and returns: dict