code: def primitive_column_to_ndarray(
      col: Column,
  ) -> tuple[np.ndarray, Any]:
      """
      Convert a column holding one of the primitive dtypes to a NumPy array.
  
      A primitive type is one of: int, uint, float, bool.
  
      Parameters
      ----------
      col : Column
  
      Returns
      -------
      tuple
          Tuple of np.ndarray holding the data and the memory owner object
          that keeps the memory alive.
      """
      buffers = col.get_buffers()
  
      data_buff, data_dtype = buffers["data"]
      data = buffer_to_ndarray(
          data_buff, data_dtype, offset=col.offset, length=col.size()
      )
  
      data = set_nulls(data, col, buffers["validity"])
      return data, buffers
  
imports: from __future__ import annotations
  import ctypes
  import re
  from typing import Any, overload
  import numpy
  from pandas.compat._optional import import_optional_dependency
  from pandas.errors import SettingWithCopyError
  import pandas
  from pandas.core.interchange.dataframe_protocol import Buffer, Column, ColumnNullType, DataFrame, DtypeKind
  from pandas.core.interchange.utils import ArrowCTypes, Endianness
label_desc: Use image node_id 4 for calling a global function with example usage: primitive_column_to_ndarray(col) and returns: data,  buffers