code: def _calc_fancy_index_param(
      cls,
      input_index_value: IndexValue,
      pd_index: pd.Index,
      inp,
      index,
      axis: int,
  ) -> Dict:
      param = dict()
      if input_index_value.has_value():
          if isinstance(index, np.ndarray):
              if not pd_index.is_unique:
                  assert axis == 1
                  # as there's no direct method in pandas to handle fancy indexes
                  # we creates a empty
                  new_dtypes = inp.dtypes.loc[index]
                  param["shape"] = len(new_dtypes)
                  param["index_value"] = parse_index(
                      new_dtypes.index, store_data=True
                  )
                  param["dtypes"] = new_dtypes
              else:
                  for it in index:
                      if it not in pd_index:
                          axis_name = (
                              "index" if axis == 0 else "columns"
                          )
                          raise KeyError(
                              f"Label [{it}] not found in the [{axis_name}]"
                          )
                  param["shape"] = len(index)
                  param["index_value"] = parse_index(
                      pd.Index(index), store_data=True
                  )
                  if axis == 1:
                      param["dtypes"] = inp.dtypes[index]
          else:
              assert axis == 0
              param["shape"] = index.shape[0]
              param["index_value"] = parse_index(
                  pd.Index([], dtype=pd_index.dtype), inp, index
              )
      else:
          assert axis == 0
          param["shape"] = index.shape[0]
          param["index_value"] = parse_index(pd_index, inp, index)
  
      return param
  
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 8 for calling the DataFrameLocGetItem obj's underlying member method code with example usage: obj._calc_fancy_index_param(cls, input_index_value, pd_index, inp, index, axis) and returns: param