docstr: Helper function to determine if dtype is valid for
  nsmallest/nlargest methods
docstr_tok: ["Helper","function","to","determine","if","dtype","is","valid","for","nsmallest\/nlargest","methods"]
code: def is_valid_dtype_n_method(dtype: DtypeObj) -> bool:
      """
      Helper function to determine if dtype is valid for
      nsmallest/nlargest methods
      """
      if is_numeric_dtype(dtype):
          return not is_complex_dtype(dtype)
      return needs_i8_conversion(dtype)
  
file_path: catboost/contrib/python/pandas/py3/pandas/core/methods/selectn.py
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, Hashable, Sequence, cast, final
  import numpy
  from pandas._libs import algos
  from pandas._typing import DtypeObj, IndexLabel
  from pandas.core.dtypes.common import is_bool_dtype, is_complex_dtype, is_integer_dtype, is_list_like, is_numeric_dtype, needs_i8_conversion
  from pandas.core.dtypes.dtypes import BaseMaskedDtype
label_desc: Use image node_id 5 for calling the SelectN obj's underlying member method code with example usage: obj.is_valid_dtype_n_method(dtype) and returns: needs_i8_conversion, unknown