code: def test_load_adjustments_from_sqlite(self):
      columns = [USEquityPricing.close, USEquityPricing.volume]
      query_days = self.calendar_days_between(
          TEST_QUERY_START,
          TEST_QUERY_STOP,
      )
  
      adjustments = self.adjustment_reader.load_adjustments(
          [c.name for c in columns],
          query_days,
          self.assets,
      )
  
      close_adjustments = adjustments[0]
      volume_adjustments = adjustments[1]
  
      (
          expected_close_adjustments,
          expected_volume_adjustments,
      ) = self.expected_adjustments(TEST_QUERY_START, TEST_QUERY_STOP)
      for key in expected_close_adjustments:
          close_adjustment = close_adjustments[key]
          for j, adj in enumerate(close_adjustment):
              expected = expected_close_adjustments[key][j]
              self.assertEqual(adj.first_row, expected.first_row)
              self.assertEqual(adj.last_row, expected.last_row)
              self.assertEqual(adj.first_col, expected.first_col)
              self.assertEqual(adj.last_col, expected.last_col)
              assert_allclose(adj.value, expected.value)
  
      for key in expected_volume_adjustments:
          volume_adjustment = volume_adjustments[key]
          for j, adj in enumerate(volume_adjustment):
              expected = expected_volume_adjustments[key][j]
              self.assertEqual(adj.first_row, expected.first_row)
              self.assertEqual(adj.last_row, expected.last_row)
              self.assertEqual(adj.first_col, expected.first_col)
              self.assertEqual(adj.last_col, expected.last_col)
              assert_allclose(adj.value, expected.value)
  
imports: from nose_parameterized import parameterized
  from numpy import arange, datetime64, float64, ones, uint32
  from numpy.testing import assert_allclose, assert_array_equal
  from pandas import concat, DataFrame, Int64Index, Timestamp
  from pandas.util.testing import assert_frame_equal
  from toolz.curried.operator import getitem
  from catalyst.lib.adjustment import Float64Multiply
  from catalyst.pipeline.loaders.synthetic import NullAdjustmentReader, make_bar_data, expected_bar_values_2d
  from catalyst.pipeline.loaders.equity_pricing_loader import USEquityPricingLoader
  from catalyst.errors import WindowLengthTooLong
  from catalyst.pipeline.data import USEquityPricing
  from catalyst.testing import seconds_to_timestamp, str_to_seconds, MockDailyBarReader
  from catalyst.testing.fixtures import WithAdjustmentReader, CatalystTestCase
label_desc: Use image node_id 11 for calling the USEquityPricingLoaderTestCase obj's underlying member method code with example usage: obj.test_load_adjustments_from_sqlite() without return types