code: def _has_metric(metric_name, stdout):
      log = stdout.getvalue()
      metric_logs = [
          line for line in log.split("\n") if metric_name in line
      ]
      return bool(metric_logs)
  
imports: import functools
  import io
  from unittest import mock
  from absl.testing import absltest
  from absl.testing import parameterized
  import gym
  import numpy
  from trax import models
  from trax import test_utils
  from trax.data import inputs
  from trax.layers import test_utils
  from trax.rl import serialization_utils
  from trax.rl import space_serializer
  from trax.supervised import callbacks
  from trax.supervised import lr_schedules
  from trax.supervised import trainer_lib
  from trax.supervised import training
label_desc: Use image node_id 6 for calling a global function with example usage: _has_metric(metric_name, stdout) and returns: bool