code: def metric_init_params_lookup():
      """Lookup dictionary for `Metric` initialization parameters used in test scenarios. Keys
      correspond to those in `metric_init_final_attributes_lookup`"""
      return dict(
          m_0=("roc_auc_score",),
          m_1=("roc_auc_score", roc_auc_score),
          m_2=("my_f1_score", "f1_score"),
          m_3=("hamming_loss", hamming_loss),
          m_4=("r2_score", r2_score, "min"),
          m_5=("my_r2_score", my_r2_score),
      )
  
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 4 for calling a global function with example usage: metric_init_params_lookup() and returns: dict