code: def series_getitem(series, labels, combine_size=None):
      if isinstance(labels, list) or np.isscalar(labels):
          op = SeriesIndex(labels=labels, combine_size=combine_size)
          return op(series, name=series.name)
      elif (
          isinstance(labels, _list_like_types)
          and astensor(labels).dtype == np.bool_
      ):
          return series.loc[labels]
      elif isinstance(labels, slice):
          edge = (
              labels.start if labels.start is not None else labels.stop
          )
          if isinstance(edge, Integral):
              return series.iloc[labels]
          else:
              return series.loc[labels]
      else:
          raise NotImplementedError(
              f"type {type(labels)} is not support for getitem"
          )
  
imports: import itertools
  from numbers import Integral
  import pandas
  import numpy
  from ...None import opcodes
  from ...config import options
  from ...core import ENTITY_TYPE, OutputType, recursive_tile
  from ...serialization.serializables import AnyField, Int32Field, BoolField
  from ...tensor.core import TENSOR_TYPE, TENSOR_CHUNK_TYPE
  from ...tensor.datasource import tensor
  from ...utils import has_unknown_shape
  from ..align import align_dataframe_series, align_dataframe_dataframe
  from ..core import SERIES_TYPE, SERIES_CHUNK_TYPE, DATAFRAME_TYPE, DATAFRAME_CHUNK_TYPE, is_chunk_meta_lazy
  from ..merge import DataFrameConcat
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index, in_range_index
  from .utils import calc_columns_index
label_desc: Use image node_id 2 for calling a global function with example usage: series_getitem(series, labels, combine_size) and returns: op, series, series, series