code: def _pad_2d(
      values: np.ndarray,
      limit=None,
      mask: npt.NDArray[np.bool_] | None = None,
  ):
      mask = _fillna_prep(values, mask)
  
      if np.all(values.shape):
          algos.pad_2d_inplace(values, mask, limit=limit)
      else:
          # for test coverage
          pass
      return values, mask
  
imports: from __future__ import annotations
  from functools import partial, wraps
  from typing import TYPE_CHECKING, Any, cast
  import numpy
  from pandas._libs import NaT, algos, lib
  from pandas._typing import ArrayLike, Axis, AxisInt, F, npt
  from pandas.compat._optional import import_optional_dependency
  from pandas.core.dtypes.cast import infer_dtype_from
  from pandas.core.dtypes.common import is_array_like, is_numeric_v_string_like, is_object_dtype, needs_i8_conversion
  from pandas.core.dtypes.missing import is_valid_na_for_dtype, isna, na_value_for_dtype
label_desc: Use image node_id 20 for calling a global function with example usage: _pad_2d(values, limit, mask) and returns: values,  mask