class_docstr: Pandas ExtensionArray for timedelta data.
  
  .. warning::
  
     TimedeltaArray is currently experimental, and its API may change
     without warning. In particular, :attr:`TimedeltaArray.dtype` is
     expected to change to be an instance of an ``ExtensionDtype``
     subclass.
  
  Parameters
  ----------
  values : array-like
      The timedelta data.
  
  dtype : numpy.dtype
      Currently, only ``numpy.dtype("timedelta64[ns]")`` is accepted.
  freq : Offset, optional
  copy : bool, default False
      Whether to copy the underlying array of data.
  
  Attributes
  ----------
  None
  
  Methods
  -------
  None
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code: def __rtruediv__(self, other):
      # X / timedelta is defined only for timedelta-like X
      op = roperator.rtruediv
      if is_scalar(other):
          return self._scalar_divlike_op(other, op)
  
      other = self._cast_divlike_op(other)
      if is_timedelta64_dtype(other.dtype):
          return self._vector_divlike_op(other, op)
  
      elif is_object_dtype(other.dtype):
          # Note: unlike in __truediv__, we do not _need_ to do type
          #  inference on the result.  It does not raise, a numeric array
          #  is returned.  GH#23829
          result_list = [other[n] / self[n] for n in range(len(self))]
          return np.array(result_list)
  
      else:
          return NotImplemented
  
imports: from __future__ import annotations
  from datetime import timedelta
  import operator
  from typing import TYPE_CHECKING, Iterator, cast
  import warnings
  import numpy
  from pandas._libs import lib, tslibs
  from pandas._libs.tslibs import BaseOffset, NaT, NaTType, Tick, Timedelta, astype_overflowsafe, get_supported_reso, get_unit_from_dtype, iNaT, is_supported_unit, npy_unit_to_abbrev, periods_per_second, to_offset
  from pandas._libs.tslibs.conversion import precision_from_unit
  from pandas._libs.tslibs.fields import get_timedelta_days, get_timedelta_field
  from pandas._libs.tslibs.timedeltas import array_to_timedelta64, floordiv_object_array, ints_to_pytimedelta, parse_timedelta_unit, truediv_object_array
  from pandas._typing import AxisInt, DateTimeErrorChoices, DtypeObj, NpDtype, npt
  from pandas.compat.numpy import function
  from pandas.util._validators import validate_endpoints
  from pandas.core.dtypes.common import TD64NS_DTYPE, is_dtype_equal, is_extension_array_dtype, is_float_dtype, is_integer_dtype, is_object_dtype, is_scalar, is_string_dtype, is_timedelta64_dtype, pandas_dtype
  from pandas.core.dtypes.missing import isna
  from pandas.core import nanops
  from pandas.core.array_algos import datetimelike_accumulations
  from pandas.core.arrays import datetimelike
  from pandas.core.arrays._ranges import generate_regular_range
  import pandas.core.common
  from pandas.core.ops import roperator
  from pandas.core.ops.common import unpack_zerodim_and_defer
label_desc: Use image node_id 25 for calling the TimedeltaArray obj's underlying member method code with example usage: obj.__rtruediv__(other) and returns: self, self, np, NotImplemented