code: def mean_aggregate(s, n):
      try:
          with warnings.catch_warnings(record=True):
              warnings.simplefilter("always")
              return s / n
      except ZeroDivisionError:
          return np.float64(np.nan)
  
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 8 for calling a global function with example usage: mean_aggregate(s, n) and returns: unknown, np