code: def _df_eval_method(
      self, *args, local_dict=None, global_dict=None, **kwargs
  ):
      level = kwargs.get("level", 0)
      local_dict, global_dict = _get_eval_locals_and_globals(
          level, local_dict, global_dict
      )
      return super(type(self), self).__getattr__("eval")(
          *args,
          local_dict=local_dict,
          global_dict=global_dict,
          **kwargs,
      )
  
imports: import copyreg
  import pickle
  import sys
  import pandas
  import cudf
  from ..annotation import nvtx
  from ..fast_slow_proxy import _CUDF_PANDAS_NVTX_COLORS, _DELETE, _fast_slow_function_call, _FastSlowAttribute, _FunctionProxy, _Unusable, get_final_type_map, make_final_proxy_type, make_intermediate_proxy_type, register_proxy_func
  from .common import array_function_method, array_method, arrow_array_method, cuda_array_interface, custom_iter
  from pandas.io.sas.sas7bdat import SAS7BDATReader
  from pandas.io.sas.sas_xport import XportReader
  from pandas.core.resample import Resampler, TimeGrouper
label_desc: Use image node_id 7 for calling a global function with example usage: _df_eval_method() and returns: super