code: def convert_dtypes(df):
      """Converts the dtypes of the dataframe to the most efficient type.
  
      :param df: The dataframe to convert.
      :type df: pandas.DataFrame
      :return: The converted dataframe.
      :rtype: pandas.DataFrame
      """
      if hasattr(df, CONVERT_DTYPES):
          df = df.convert_dtypes()
      return df
  
imports: import logging
  import math
  import warnings
  from abc import ABC, abstractmethod
  import numpy
  import pandas
  from sklearn.metrics import multilabel_confusion_matrix
  from erroranalysis._internal.cohort_filter import filter_from_cohort
  from erroranalysis._internal.constants import DIFF, PRED_Y, ROW_INDEX, TRUE_Y, MatrixParams, MetricKeys, Metrics, ModelTask, metric_to_display_name
  from erroranalysis._internal.metrics import get_ordered_classes, is_multi_agg_metric, metric_to_func
  from raiutils.exceptions import UserConfigValidationException
label_desc: Use image node_id 4 for calling a global function with example usage: convert_dtypes(df) and returns: df