text: import numpy as np
  import pandas as pd
  import random
  
  from psi.data.sinks.api import TableStore
  
  
  def test_table_create_append():
      store = TableStore(name='event_log')
      store.prepare()
      rows = [
          {
              'channel': 'A',
              'fs': 100e3,
              'result': 5,
              'valid': True,
          },
          # Mix up order to make sure that we still get good output.
          {
              'valid': True,
              'result': 5,
              'channel': 'A',
              'fs': 100e3,
          },
      ]
      for row in rows:
          store.process_table(row)
          store.flush()
      filename = store.get_filename()
      assert pd.read_csv(filename).equals(pd.DataFrame(rows))
  