code: def test_scalar_call_versus_list_call(self):
      # Issue: 17530
      data_frame = {
          "location": ["shanghai", "beijing", "shanghai"],
          "time": Series(
              [
                  "2017-08-09 13:32:23",
                  "2017-08-11 23:23:15",
                  "2017-08-11 22:23:15",
              ],
              dtype="datetime64[ns]",
          ),
          "value": [1, 2, 3],
      }
      data_frame = DataFrame(data_frame).set_index("time")
      grouper = Grouper(freq="D")
  
      grouped = data_frame.groupby(grouper)
      result = grouped.count()
      grouped = data_frame.groupby([grouper])
      expected = grouped.count()
  
      tm.assert_frame_equal(result, expected)
  
imports: from datetime import datetime, timedelta
  import numpy
  import pytest
  import pytz
  import pandas
  from pandas import DataFrame, DatetimeIndex, Index, MultiIndex, Series, Timestamp, date_range, offsets
  import pandas._testing
  from pandas.core.groupby.grouper import Grouper
  from pandas.core.groupby.ops import BinGrouper
label_desc: Use image node_id 22 for calling the TestGroupBy obj's underlying member method code with example usage: obj.test_scalar_call_versus_list_call() without return types