code: def test_binary_classification_metrics(self, metric):
      y_true = np.array([1, 0, 1, 1, 0, 1])
      y_pred = np.array([0, 0, 1, 1, 0, 1])
      if metric == Metrics.ERROR_RATE:
          diff = y_true != y_pred
          metric_value = metric_to_func[metric](y_true, y_pred, diff)
      else:
          metric_value = metric_to_func[metric](y_true, y_pred)
      assert isinstance(metric_value, float)
  
file_path: responsible-ai-toolbox/erroranalysis/tests/test_metrics.py
imports: import logging
  import numpy
  import pytest
  from erroranalysis._internal.constants import Metrics, ModelTask, binary_classification_metrics, multiclass_classification_metrics, object_detection_metrics, regression_metrics
  from erroranalysis._internal.metrics import metric_to_func
label_desc: Use image node_id 1 for calling the TestMetrics obj's underlying member method code with example usage: obj.test_binary_classification_metrics(metric) without return types