code: def make_data():
      while True:
          values = np.random.default_rng(2).choice(
              list(string.ascii_letters), size=100
          )
          # ensure we meet the requirements
          # 1. first two not null
          # 2. first and second are different
          if values[0] != values[1]:
              break
      return values
  
imports: import string
  import numpy
  import pytest
  from pandas._config import using_pyarrow_string_dtype
  import pandas
  from pandas import Categorical
  import pandas._testing
  from pandas.api.types import CategoricalDtype
  from pandas.tests.extension import base
label_desc: Use image node_id 1 for calling a global function with example usage: make_data() and returns: values