class_docstr: Parameters
  ----------
  data : Buffer
      The Timedelta values
  dtype : np.dtype
      The data type
  size : int
      Size of memory allocation.
  mask : Buffer; optional
      The validity mask
  offset : int
      Data offset
  null_count : int, optional
      The number of null values.
      If None, it is calculated automatically.
code: def normalize_binop_value(self, other) -> ColumnBinaryOperand:
      if isinstance(other, (ColumnBase, cudf.Scalar)):
          return other
  
      tz_error_msg = (
          "Cannot perform binary operation on timezone-naive columns"
          " and timezone-aware timestamps."
      )
      if isinstance(other, pd.Timestamp):
          if other.tz is not None:
              raise NotImplementedError(tz_error_msg)
          other = other.to_datetime64()
      elif isinstance(other, pd.Timedelta):
          other = other.to_timedelta64()
      elif isinstance(other, datetime.timedelta):
          other = np.timedelta64(other)
      elif (
          isinstance(other, datetime.datetime)
          and other.tzinfo is not None
      ):
          raise NotImplementedError(tz_error_msg)
  
      if isinstance(other, np.timedelta64):
          other_time_unit = cudf.utils.dtypes.get_time_unit(other)
          if np.isnat(other):
              return cudf.Scalar(None, dtype=self.dtype)
  
          if other_time_unit not in {"s", "ms", "ns", "us"}:
              common_dtype = "timedelta64[s]"
          else:
              common_dtype = determine_out_dtype(
                  self.dtype, other.dtype
              )
          return cudf.Scalar(other.astype(common_dtype))
      elif np.isscalar(other):
          return cudf.Scalar(other)
      return NotImplemented
  
imports: from __future__ import annotations
  import datetime
  from typing import Any, Optional, Sequence, cast
  import numpy
  import pandas
  import pyarrow
  from typing_extensions import Self
  import cudf
  from cudf import _lib
  from cudf._typing import ColumnBinaryOperand, DatetimeLikeScalar, Dtype
  from cudf.api.types import is_scalar, is_timedelta64_dtype
  from cudf.core.buffer import Buffer, acquire_spill_lock
  from cudf.core.column import ColumnBase, column, string
  from cudf.utils.dtypes import np_to_pa_dtype
  from cudf.utils.utils import _all_bools_with_nulls
label_desc: Use image node_id 7 for calling the TimeDeltaColumn obj's underlying member method code with example usage: obj.normalize_binop_value(other) and returns: NotImplemented, other, cudf, cudf, cudf