code: def string_is_category(
      series: pd.Series, state: dict, k: Settings
  ) -> bool:
      """String is category, if the following conditions are met
      - has at least one and less or equal distinct values as threshold
      - (distinct values / count of all values) is less than threshold
      - is not bool"""
      n_unique = series.nunique()
      unique_threshold = k.vars.cat.percentage_cat_threshold
      threshold = k.vars.cat.cardinality_threshold
      return (
          1 <= n_unique <= threshold
          and (
              n_unique / series.size < unique_threshold
              if unique_threshold <= 1
              else n_unique / series.size <= unique_threshold
          )
          and not string_is_bool(series, state, k.vars.bool.mappings)
      )
  
imports: import functools
  from typing import Callable, Dict
  import numpy
  import pandas
  from pandas.api import types
  from visions.backends.pandas.series_utils import series_handle_nulls
  from ydata_profiling.config import Settings
  from ydata_profiling.utils.versions import is_pandas_1
label_desc: Use image node_id 8 for calling a global function with example usage: string_is_category(series, state, k) and returns: unknown