code: def is_non_overlapping_monotonic(self):
      # must be increasing  (e.g., [0, 1), [1, 2), [2, 3), ... )
      # or decreasing (e.g., [-1, 0), [-2, -1), [-3, -2), ...)
      # we already require left <= right
  
      # strict inequality for closed == 'both'; equality implies overlapping
      # at a point when both sides of intervals are included
      if self.closed == "both":
          return bool(
              (self.right[:-1] < self.left[1:]).all()
              or (self.left[:-1] > self.right[1:]).all()
          )
  
      # non-strict inequality when closed != 'both'; at least one side is
      # not included in the intervals, so equality does not imply overlapping
      return bool(
          (self.right[:-1] <= self.left[1:]).all()
          or (self.left[:-1] >= self.right[1:]).all()
      )
  
imports: from operator import le, lt
  import textwrap
  import numpy
  from pandas._libs.interval import Interval, IntervalMixin, intervals_to_interval_bounds
  from pandas.compat import add_metaclass
  from pandas.compat.numpy import function
  from pandas.util._decorators import Appender
  from pandas.util._doctools import _WritableDoc
  from pandas.core.dtypes.cast import maybe_convert_platform
  from pandas.core.dtypes.common import is_categorical_dtype, is_datetime64_any_dtype, is_float_dtype, is_integer_dtype, is_interval, is_interval_dtype, is_scalar, is_string_dtype, is_timedelta64_dtype, pandas_dtype
  from pandas.core.dtypes.dtypes import IntervalDtype
  from pandas.core.dtypes.generic import ABCDatetimeIndex, ABCInterval, ABCIntervalIndex, ABCPeriodIndex, ABCSeries
  from pandas.core.dtypes.missing import isna, notna
  from pandas.core.arrays.base import ExtensionArray, _extension_array_shared_docs
  from pandas.core.arrays.categorical import Categorical
  import pandas.core.common
  from pandas.core.config import get_option
  from pandas.core.indexes.base import Index, ensure_index
label_desc: Use image node_id 34 for calling the IntervalArray obj's underlying member method code with example usage: obj.is_non_overlapping_monotonic() and returns: bool, bool