code: def timedelta_range(
      start=None,
      end=None,
      periods=None,
      freq=None,
      name=None,
      closed=None,
  ):
      """
      Return a fixed frequency TimedeltaIndex, with day as the default
      frequency
  
      Parameters
      ----------
      start : string or timedelta-like, default None
          Left bound for generating timedeltas
      end : string or timedelta-like, default None
          Right bound for generating timedeltas
      periods : integer, default None
          Number of periods to generate
      freq : string or DateOffset, default 'D'
          Frequency strings can have multiples, e.g. '5H'
      name : string, default None
          Name of the resulting TimedeltaIndex
      closed : string, default None
          Make the interval closed with respect to the given frequency to
          the 'left', 'right', or both sides (None)
  
      Returns
      -------
      rng : 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
      <http://pandas.pydata.org/pandas-docs/stable/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)
      """
      if freq is None and com._any_none(periods, start, end):
          freq = "D"
  
      freq, freq_infer = dtl.maybe_infer_freq(freq)
      tdarr = TimedeltaArray._generate_range(
          start, end, periods, freq, closed=closed
      )
      return TimedeltaIndex._simple_new(
          tdarr._data, freq=tdarr.freq, name=name
      )
  
imports: from datetime import datetime
  import warnings
  import numpy
  from pandas._libs import NaT, Timedelta, index, join, lib
  import pandas.compat
  from pandas.util._decorators import Appender, Substitution
  from pandas.core.dtypes.common import _TD_DTYPE, ensure_int64, is_float, is_integer, is_list_like, is_scalar, is_timedelta64_dtype, is_timedelta64_ns_dtype, pandas_dtype
  import pandas.core.dtypes.concat
  from pandas.core.dtypes.missing import isna
  from pandas.core.accessor import delegate_names
  from pandas.core.arrays import datetimelike
  from pandas.core.arrays.timedeltas import TimedeltaArray, _is_convertible_to_td
  from pandas.core.base import _shared_docs
  import pandas.core.common
  from pandas.core.indexes.base import Index, _index_shared_docs
  from pandas.core.indexes.datetimelike import DatetimeIndexOpsMixin, DatetimelikeDelegateMixin, maybe_unwrap_index, wrap_arithmetic_op
  from pandas.core.indexes.numeric import Int64Index
  from pandas.core.ops import get_op_result_name
  from pandas.tseries.frequencies import to_offset
label_desc: Use image node_id 3 for calling a global function with example usage: timedelta_range(start, end, periods, freq, name, closed) and returns: TimedeltaIndex