code: def _new_IntervalIndex(cls, d):
      """
      This is called upon unpickling, rather than the default which doesn't have
      arguments and breaks __new__.
      """
      return cls.from_arrays(**d)
  
imports: from __future__ import annotations
  from operator import le, lt
  import textwrap
  from typing import TYPE_CHECKING, Any, Literal
  import numpy
  from pandas._libs import lib
  from pandas._libs.interval import Interval, IntervalMixin, IntervalTree
  from pandas._libs.tslibs import BaseOffset, Period, Timedelta, Timestamp, to_offset
  from pandas.errors import InvalidIndexError
  from pandas.util._decorators import Appender, cache_readonly
  from pandas.util._exceptions import rewrite_exception
  from pandas.core.dtypes.cast import find_common_type, infer_dtype_from_scalar, maybe_box_datetimelike, maybe_downcast_numeric, maybe_upcast_numeric_to_64bit
  from pandas.core.dtypes.common import ensure_platform_int, is_float_dtype, is_integer, is_integer_dtype, is_list_like, is_number, is_object_dtype, is_scalar, pandas_dtype
  from pandas.core.dtypes.dtypes import DatetimeTZDtype, IntervalDtype
  from pandas.core.dtypes.missing import is_valid_na_for_dtype
  from pandas.core.algorithms import unique
  from pandas.core.arrays.datetimelike import validate_periods
  from pandas.core.arrays.interval import IntervalArray, _interval_shared_docs
  import pandas.core.common
  from pandas.core.indexers import is_valid_positional_slice
  import pandas.core.indexes.base
  from pandas.core.indexes.base import Index, _index_shared_docs, ensure_index, maybe_extract_name
  from pandas.core.indexes.datetimes import DatetimeIndex, date_range
  from pandas.core.indexes.extension import ExtensionIndex, inherit_names
  from pandas.core.indexes.multi import MultiIndex
  from pandas.core.indexes.timedeltas import TimedeltaIndex, timedelta_range
label_desc: Use image node_id 3 for calling a global function with example usage: _new_IntervalIndex(cls, d) and returns: cls