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):
      """
      Helper function to determine if dtype is valid for
      nsmallest/nlargest methods
      """
      return (
          is_numeric_dtype(dtype) and not is_complex_dtype(dtype)
      ) or needs_i8_conversion(dtype)
  
imports: from __future__ import division
  from textwrap import dedent
  from warnings import catch_warnings, simplefilter, warn
  import numpy
  from pandas._libs import algos, hashtable, lib
  from pandas._libs.tslib import iNaT
  from pandas.util._decorators import Appender, Substitution, deprecate_kwarg
  from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike, maybe_promote
  from pandas.core.dtypes.common import ensure_float64, ensure_int64, ensure_object, ensure_platform_int, ensure_uint64, is_array_like, is_bool_dtype, is_categorical_dtype, is_complex_dtype, is_datetime64_any_dtype, is_datetime64tz_dtype, is_datetimelike, is_extension_array_dtype, is_float_dtype, is_integer_dtype, is_interval_dtype, is_list_like, is_numeric_dtype, is_object_dtype, is_period_dtype, is_scalar, is_signed_integer_dtype, is_sparse, is_timedelta64_dtype, is_unsigned_integer_dtype, needs_i8_conversion
  from pandas.core.dtypes.generic import ABCIndex, ABCIndexClass, ABCSeries
  from pandas.core.dtypes.missing import isna, na_value_for_dtype
  from pandas.core import common
label_desc: Use image node_id 4 for calling the SelectN obj's underlying member method code with example usage: obj.is_valid_dtype_n_method(dtype) and returns: unknown