code: def ensure2d(
      x: Sequence[float | int]
      | Sequence[Sequence[float | int]]
      | ArrayLike,
      name: str,
  ) -> DataFrame | NDArray:
      if isinstance(x, Series):
          return DataFrame(x)
      elif isinstance(x, DataFrame):
          return x
      elif isinstance(x, np.ndarray):
          if x.ndim == 0:
              return np.asarray([[x]])
          elif x.ndim == 1:
              return x[:, None]
          elif x.ndim == 2:
              return x
          else:
              raise ValueError(
                  "Variable " + name + "must be 2d or reshapable to 2d"
              )
      else:
          raise TypeError(
              "Variable "
              + name
              + "must be a Series, DataFrame or ndarray."
          )
  
imports: from __future__ import annotations
  from arch.compat.pandas import is_datetime64_any_dtype
  from abc import ABCMeta
  from collections.abc import Hashable, Sequence
  import datetime
  from functools import cached_property
  from typing import Any, Literal, overload
  import numpy
  from pandas import DataFrame, DatetimeIndex, Index, NaT, Series, Timestamp, to_datetime
  from arch.typing import AnyPandas, ArrayLike, DateLike, NDArray
label_desc: Use image node_id 4 for calling a global function with example usage: ensure2d(x, name) and returns: DataFrame, x, np, x, x