code: def __getitem__(self, item):
      if isinstance(item, tuple):
          item = unpack_tuple_and_ellipses(item)
  
      if isinstance(item, numbers.Integral):
          return self.data[item]
      elif isinstance(item, slice) and item == slice(None):
          # Make sure we get a view
          return type(self)(self.data)
      elif isinstance(item, slice):
          # slice
          return type(self)(self.data[item])
      elif not is_list_like(item):
          # e.g. "foo" or 2.5
          # exception message copied from numpy
          raise IndexError(
              r"only integers, slices (`:`), ellipsis (`...`), numpy.newaxis "
              r"(`None`) and integer or boolean arrays are valid indices"
          )
      else:
          item = pd.api.indexers.check_array_indexer(self, item)
          if is_bool_dtype(item.dtype):
              return type(self)._from_sequence(
                  [x for x, m in zip(self, item) if m], dtype=self.dtype
              )
          # integer
          return type(self)([self.data[i] for i in item])
  
imports: from __future__ import annotations
  from collections import UserDict, abc
  import itertools
  import numbers
  import string
  import sys
  from typing import TYPE_CHECKING, Any
  import numpy
  from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
  from pandas.core.dtypes.common import is_bool_dtype, is_list_like, pandas_dtype
  import pandas
  from pandas.api.extensions import ExtensionArray, ExtensionDtype
  from pandas.core.indexers import unpack_tuple_and_ellipses
label_desc: Use image node_id 4 for calling the JSONArray obj's underlying member method code with example usage: obj.__getitem__(item) and returns: self, type, type, type, type