text: from cs_kit import CoreTestFunctions
  from cs_config import functions, helpers
  import pytest
  
  
  @pytest.mark.full_run
  class TestFunctions1(CoreTestFunctions):
      get_version = functions.get_version
      get_inputs = functions.get_inputs
      validate_inputs = functions.validate_inputs
      run_model = functions.run_model
      ok_adjustment = {"OG-USA Parameters": {"frisch": 0.41},
                       "Tax-Calculator Parameters": {}}
      bad_adjustment = {"OG-USA Parameters": {"frisch": 1.5},
                        "Tax-Calculator Parameters": {"STD": -1}}
  
  
  # Comment out until do tabular output
  # def test_param_effect():
  #     adjustment = {"ogusa": {"frisch": 0.35}}
  #     comp_dict = functions.run_model({}, adjustment)
  #     df = pd.read_csv(io.StringIO(comp_dict['downloadable'][0]['data']))
  #     assert df.loc[0, 'Change from Baseline (pp)'] != 0
  
  
  @pytest.mark.full_run
  def test_convert_adj():
      adj = {
          "STD": [
              {"MARS": "single", "year": "2019", "value": 0},
              {"MARS": "mjoint", "year": 2019, "value": 1}
          ],
          "EITC_c": [{"EIC": "0kids", "year": "2019", "value": 1000.0}],
          "BEN_ssi_repeal": [
              {"year": 2019, "value": True}
          ]
      }
      res = helpers.convert_adj(adj, 2019)
      assert res == {
          "STD": {
              2019: [0, 1, 12200.0, 18350.0, 24400.0]
          },
          "EITC_c": {
              2019: [1000.0, 3526.0, 5828.0, 6557.0]
          },
          "BEN_ssi_repeal": {
              2019: True
          }
      }
  