code: def __call__(self, inp):
      inputs = [inp] + filter_inputs(self._indexes)
  
      shape = []
      sizes = []
      index_value = columns_value = dtypes = None
      for ax, index in enumerate(self._indexes):
          param = self._calc_param(inp, ax, index)
  
          size = param.get("shape")
          sizes.append(size)
          if size is not None:
              shape.append(size)
  
          if ax == 0:
              index_value = param.get("index_value")
          else:
              columns_value = param.get("index_value")
              dtypes = param.get("dtypes")
  
      shape = tuple(shape)
      if len(shape) == 0:
          # scalar
          if isinstance(inp, DATAFRAME_TYPE):
              dtype = inp.dtypes[self._indexes[1]]
          else:
              dtype = inp.dtype
          return self.new_scalar(inputs, dtype=dtype)
      elif len(shape) == 1:
          # series
          if isinstance(inp, DATAFRAME_TYPE):
              if sizes[0] is None:
                  # label on axis 0
                  dtype = find_common_type(list(dtypes))
                  return self.new_series(
                      inputs,
                      shape=shape,
                      dtype=dtype,
                      index_value=columns_value,
                      name=self._indexes[0],
                  )
              else:
                  # label on axis 1
                  dtype = inp.dtypes[self._indexes[1]]
                  return self.new_series(
                      inputs,
                      shape=shape,
                      dtype=dtype,
                      index_value=index_value,
                      name=self._indexes[1],
                  )
          else:
              return self.new_series(
                  inputs,
                  shape=shape,
                  dtype=inp.dtype,
                  index_value=index_value,
                  name=inp.name,
              )
      else:
          # dataframe
          return self.new_dataframe(
              inputs,
              shape=shape,
              dtypes=dtypes,
              index_value=index_value,
              columns_value=columns_value,
          )
  
imports: from numbers import Integral
  from typing import Dict
  import numpy
  import pandas
  from pandas.core.dtypes.cast import find_common_type
  from pandas.core.indexing import IndexingError
  from .iloc import DataFrameIlocSetItem
  from ...None import opcodes
  from ...core import ENTITY_TYPE, OutputType
  from ...core.operand import OperandStage
  from ...serialization.serializables import KeyField, ListField, AnyField
  from ...tensor.datasource import asarray
  from ...tensor.utils import calc_sliced_size, filter_inputs
  from ...utils import lazy_import, is_full_slice
  from ..core import IndexValue, DATAFRAME_TYPE
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index, is_index_value_identical
  from .index_lib import DataFrameLocIndexesHandler
label_desc: Use image node_id 10 for calling the DataFrameLocGetItem obj's underlying member method code with example usage: obj.__call__(inp) and returns: self, self, self, self, self