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 quantile(
      self,
      q: np.ndarray,
      interpolation: str,
      exact: bool,
      return_scalar: bool,
  ) -> ColumnBase:
      result = self.as_numerical_column("int64").quantile(
          q=q,
          interpolation=interpolation,
          exact=exact,
          return_scalar=return_scalar,
      )
      if return_scalar:
          return pd.Timedelta(result, unit=self.time_unit)
      return result.astype(self.dtype)
  
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 17 for calling the TimeDeltaColumn obj's underlying member method code with example usage: obj.quantile(q, interpolation, exact, return_scalar) and returns: result, pd