code: def value_counts_aggregate(
      x,
      total_length=None,
      sort=True,
      ascending=False,
      normalize=False,
      **groupby_kwargs,
  ):
      out = value_counts_combine(x, **groupby_kwargs)
      if normalize:
          out /= total_length if total_length is not None else out.sum()
      if sort:
          out = out.sort_values(ascending=ascending)
      if PANDAS_GE_200 and normalize:
          out.name = "proportion"
      return out
  
imports: from __future__ import annotations
  import warnings
  from functools import partial
  import numpy
  import pandas
  from pandas.api.types import is_extension_array_dtype
  from pandas.errors import PerformanceWarning
  from tlz import partition
  from dask.dataframe._compat import PANDAS_GE_131, PANDAS_GE_140, PANDAS_GE_200, check_apply_dataframe_deprecation, check_applymap_dataframe_deprecation, check_convert_dtype_deprecation, check_observed_deprecation
  from dask.dataframe.dispatch import concat, concat_dispatch, group_split_dispatch, hash_object_dispatch, is_categorical_dtype, is_categorical_dtype_dispatch, tolist, tolist_dispatch, union_categoricals
  from dask.dataframe.utils import is_dataframe_like, is_index_like, is_series_like
label_desc: Use image node_id 24 for calling a global function with example usage: value_counts_aggregate(x, total_length, sort, ascending, normalize) and returns: out