code: def make_equity_info(cls):
      return pd.DataFrame.from_dict(
          {
              1: {
                  "symbol": "A",
                  "start_date": cls.START_DATE,
                  "end_date": cls.END_DATE + pd.Timedelta(days=1),
                  "exchange": "TEST",
              },
              2: {
                  "symbol": "B",
                  "start_date": cls.START_DATE,
                  "end_date": cls.END_DATE + pd.Timedelta(days=1),
                  "exchange": "TEST",
              },
              3: {
                  "symbol": "C",
                  "start_date": pd.Timestamp("2006-05-26", tz="utc"),
                  "end_date": pd.Timestamp("2006-08-09", tz="utc"),
                  "exchange": "TEST",
              },
              4: {
                  "symbol": "D",
                  "start_date": cls.START_DATE,
                  "end_date": cls.END_DATE + pd.Timedelta(days=1),
                  "exchange": "TEST",
              },
          },
          orient="index",
      )
  
imports: import logbook
  import numpy
  import pandas
  from pandas.util.testing import assert_series_equal
  from zipline.data.data_portal import DataPortal
  from zipline.errors import BenchmarkAssetNotAvailableTooEarly, BenchmarkAssetNotAvailableTooLate, InvalidBenchmarkAsset
  from zipline.sources.benchmark_source import BenchmarkSource
  from zipline.utils.run_algo import BenchmarkSpec
  from zipline.testing import MockDailyBarReader, create_minute_bar_data, parameter_space, tmp_bcolz_equity_minute_bar_reader
  from zipline.testing.predicates import assert_equal
  from zipline.testing.fixtures import WithAssetFinder, WithDataPortal, WithSimParams, WithTmpDir, WithTradingCalendars, ZiplineTestCase
  from zipline.testing.core import make_test_handler
label_desc: Use image node_id 1 for calling the TestBenchmark obj's underlying member method code with example usage: obj.make_equity_info(cls) and returns: pd