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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _define_loop(graph, logdir, train_steps, eval_steps):
 """Create and configure a training loop with training and evaluation phases. Args: graph: Object providing graph elements via attributes. logdir: Log directory for storing checkpoints and summaries. train_steps: Number of training steps per epoch. eval_steps: Number of evaluation steps per epoch. Returns: Loop object. """

  loop = tools.Loop(
      logdir, graph.step, graph.should_log, graph.do_report,
      graph.force_reset)
  loop.add_phase(
      'train', graph.done, graph.score, graph.summary, train_steps,
      report_every=train_steps,
      log_every=train_steps // 2,
      checkpoint_every=None,
      feed={graph.is_training: True})
  loop.add_phase(
      'eval', graph.done, graph.score, graph.summary, eval_steps,
      report_every=eval_steps,
      log_every=eval_steps // 2,
      checkpoint_every=10 * eval_steps,
      feed={graph.is_training: False})
  return loop