code: def timedelta_range(
      start=None,
      end=None,
      periods: int | None = None,
      freq=None,
      name=None,
      closed=None,
      *,
      unit: str | None = None,
  ) -> TimedeltaIndex:
      """
      Return a fixed frequency TimedeltaIndex with day as the default.
  
      Parameters
      ----------
      start : str or timedelta-like, default None
          Left bound for generating timedeltas.
      end : str or timedelta-like, default None
          Right bound for generating timedeltas.
      periods : int, default None
          Number of periods to generate.
      freq : str, Timedelta, datetime.timedelta, or DateOffset, default 'D'
          Frequency strings can have multiples, e.g. '5h'.
      name : str, default None
          Name of the resulting TimedeltaIndex.
      closed : str, default None
          Make the interval closed with respect to the given frequency to
          the 'left', 'right', or both sides (None).
      unit : str, default None
          Specify the desired resolution of the result.
  
          .. versionadded:: 2.0.0
  
      Returns
      -------
      TimedeltaIndex
  
      Notes
      -----
      Of the four parameters ``start``, ``end``, ``periods``, and ``freq``,
      exactly three must be specified. If ``freq`` is omitted, the resulting
      ``TimedeltaIndex`` will have ``periods`` linearly spaced elements between
      ``start`` and ``end`` (closed on both sides).
  
      To learn more about the frequency strings, please see `this link
      <https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
  
      Examples
      --------
      >>> pd.timedelta_range(start='1 day', periods=4)
      TimedeltaIndex(['1 days', '2 days', '3 days', '4 days'],
                     dtype='timedelta64[ns]', freq='D')
  
      The ``closed`` parameter specifies which endpoint is included.  The default
      behavior is to include both endpoints.
  
      >>> pd.timedelta_range(start='1 day', periods=4, closed='right')
      TimedeltaIndex(['2 days', '3 days', '4 days'],
                     dtype='timedelta64[ns]', freq='D')
  
      The ``freq`` parameter specifies the frequency of the TimedeltaIndex.
      Only fixed frequencies can be passed, non-fixed frequencies such as
      'M' (month end) will raise.
  
      >>> pd.timedelta_range(start='1 day', end='2 days', freq='6h')
      TimedeltaIndex(['1 days 00:00:00', '1 days 06:00:00', '1 days 12:00:00',
                      '1 days 18:00:00', '2 days 00:00:00'],
                     dtype='timedelta64[ns]', freq='6h')
  
      Specify ``start``, ``end``, and ``periods``; the frequency is generated
      automatically (linearly spaced).
  
      >>> pd.timedelta_range(start='1 day', end='5 days', periods=4)
      TimedeltaIndex(['1 days 00:00:00', '2 days 08:00:00', '3 days 16:00:00',
                      '5 days 00:00:00'],
                     dtype='timedelta64[ns]', freq=None)
  
      **Specify a unit**
  
      >>> pd.timedelta_range("1 Day", periods=3, freq="100000D", unit="s")
      TimedeltaIndex(['1 days', '100001 days', '200001 days'],
                     dtype='timedelta64[s]', freq='100000D')
      """
      if freq is None and com.any_none(periods, start, end):
          freq = "D"
  
      freq = to_offset(freq)
      tdarr = TimedeltaArray._generate_range(
          start, end, periods, freq, closed=closed, unit=unit
      )
      return TimedeltaIndex._simple_new(tdarr, name=name)
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING
  import warnings
  from pandas._libs import index, lib
  from pandas._libs.tslibs import Resolution, Timedelta, to_offset
  from pandas._libs.tslibs.timedeltas import disallow_ambiguous_unit
  from pandas.util._exceptions import find_stack_level
  from pandas.core.dtypes.common import is_scalar, pandas_dtype
  from pandas.core.dtypes.generic import ABCSeries
  from pandas.core.arrays.timedeltas import TimedeltaArray
  import pandas.core.common
  from pandas.core.indexes.base import Index, maybe_extract_name
  from pandas.core.indexes.datetimelike import DatetimeTimedeltaMixin
  from pandas.core.indexes.extension import inherit_names
label_desc: Use image node_id 1 for calling a global function with example usage: timedelta_range(start, end, periods, freq, name, closed) and returns: TimedeltaIndex