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
  
  Examples
  --------
  >>> pd.arrays.TimedeltaArray._from_sequence(pd.TimedeltaIndex(['1h', '2h']))
  <TimedeltaArray>
  ['0 days 01:00:00', '0 days 02:00:00']
  Length: 2, dtype: timedelta64[ns]
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code: def __truediv__(self, other):
      # timedelta / X is well-defined for timedelta-like or numeric X
      op = operator.truediv
      if is_scalar(other):
          return self._scalar_divlike_op(other, op)
  
      other = self._cast_divlike_op(other)
      if (
          lib.is_np_dtype(other.dtype, "m")
          or is_integer_dtype(other.dtype)
          or is_float_dtype(other.dtype)
      ):
          return self._vector_divlike_op(other, op)
  
      if is_object_dtype(other.dtype):
          other = np.asarray(other)
          if self.ndim > 1:
              res_cols = [
                  left / right for left, right in zip(self, other)
              ]
              res_cols2 = [x.reshape(1, -1) for x in res_cols]
              result = np.concatenate(res_cols2, axis=0)
          else:
              result = truediv_object_array(self._ndarray, other)
  
          return result
  
      else:
          return NotImplemented
  
imports: from __future__ import annotations
  from datetime import timedelta
  import operator
  from typing import TYPE_CHECKING, cast
  import numpy
  from pandas._libs import lib, tslibs
  from pandas._libs.tslibs import NaT, NaTType, Tick, Timedelta, astype_overflowsafe, get_supported_dtype, iNaT, is_supported_dtype, periods_per_second
  from pandas._libs.tslibs.conversion import cast_from_unit_vectorized
  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.compat.numpy import function
  from pandas.util._validators import validate_endpoints
  from pandas.core.dtypes.common import TD64NS_DTYPE, is_float_dtype, is_integer_dtype, is_object_dtype, is_scalar, is_string_dtype, pandas_dtype
  from pandas.core.dtypes.dtypes import ExtensionDtype
  from pandas.core.dtypes.missing import isna
  from pandas.core import nanops, roperator
  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.common import unpack_zerodim_and_defer
  import textwrap
label_desc: Use image node_id 24 for calling the TimedeltaArray obj's underlying member method code with example usage: obj.__truediv__(other) and returns: self, self, result, NotImplemented