code: def maybe_infer_ndim(
      values, placement: BlockPlacement, ndim: int | None
  ) -> int:
      """
      If `ndim` is not provided, infer it from placement and values.
      """
      if ndim is None:
          # GH#38134 Block constructor now assumes ndim is not None
          if not isinstance(values.dtype, np.dtype):
              if len(placement) != 1:
                  ndim = 1
              else:
                  ndim = 2
          else:
              ndim = values.ndim
      return ndim
  
file_path: pandas/pandas/core/internals/api.py
imports: from __future__ import annotations
  from typing import TYPE_CHECKING
  import numpy
  from pandas._libs.internals import BlockPlacement
  from pandas.core.dtypes.common import pandas_dtype
  from pandas.core.dtypes.dtypes import DatetimeTZDtype, PeriodDtype
  from pandas.core.arrays import DatetimeArray
  from pandas.core.construction import extract_array
  from pandas.core.internals.blocks import check_ndim, ensure_block_shape, extract_pandas_array, get_block_type, maybe_coerce_values
label_desc: Use image node_id 2 for calling a global function with example usage: maybe_infer_ndim(values, placement, ndim) and returns: ndim