code: def metric_init_final_attributes_lookup():
      """Lookup dictionary for the expected values of `Metric` attributes after an instance has been
      initialized with the value of the corresponding key in `metric_init_params_lookup`. The `Metric`
      attributes whose values are verified are as follows: `name`, `metric_function`, `direction`
      """
      return dict(
          m_0=("roc_auc_score", roc_auc_score, "max"),
          m_1=("roc_auc_score", roc_auc_score, "max"),
          m_2=("my_f1_score", f1_score, "max"),
          m_3=("hamming_loss", hamming_loss, "min"),
          m_4=("r2_score", r2_score, "min"),
          m_5=("my_r2_score", my_r2_score, "max"),
      )
  
imports: from hyperparameter_hunter.metrics import ScoringMixIn, Metric, format_metrics, wrap_xgboost_metric
  from hyperparameter_hunter.metrics import get_formatted_target_metric, get_clean_prediction
  from collections import OrderedDict
  import numpy
  import pandas
  import pytest
  import sys
  from sklearn.metrics import roc_auc_score, hamming_loss, r2_score, f1_score
label_desc: Use image node_id 5 for calling a global function with example usage: metric_init_final_attributes_lookup() and returns: dict