code: def test_replicate_describe(string_series):
      # this also tests a result set that is all scalars
      expected = string_series.describe()
      result = string_series.apply(
          {
              "count": "count",
              "mean": "mean",
              "std": "std",
              "min": "min",
              "25%": lambda x: x.quantile(0.25),
              "50%": "median",
              "75%": lambda x: x.quantile(0.75),
              "max": "max",
          },
      )
      tm.assert_series_equal(result, expected)
  
imports: import numpy
  import pytest
  import pandas
  from pandas import DataFrame, Index, MultiIndex, Series, concat, date_range, timedelta_range
  import pandas._testing
  from pandas.tests.apply.common import series_transform_kernels
label_desc: Use image node_id 26 for calling a global function with example usage: test_replicate_describe(string_series) without return types