[Bug]: Discount Factor calculation fails if multiple regions are defined

[trevorb1]

The Issue

If you run a multiple region model, the discount factor calculation fails

Expected Behavior

No response

Steps To Reproduce

run this test

    def test_df_two_regions(self, region_multiple, year, discount_rate_multiple):

        regions = region_multiple["VALUE"].to_list()
        years = year["VALUE"].to_list()
        actual = discount_factor(regions, years, discount_rate_multiple, 0.0)

        expected = pd.DataFrame(
            data=[
                ["SIMPLICITY", 2014, 1],
                ["SIMPLICITY", 2015, 1.05],
                ["SIMPLICITY", 2016, 1.1025],
                ["SIMPLICITY", 2017, 1.157625],
                ["SIMPLICITY", 2018, 1.21550625],
                ["SIMPLICITY", 2019, 1.276281562],
                ["SIMPLICITY", 2020, 1.340095640],
                ["DUMMY", 2014, 1],
                ["DUMMY", 2015, 1.05],
                ["DUMMY", 2016, 1.1025],
                ["DUMMY", 2017, 1.157625],
                ["DUMMY", 2018, 1.21550625],
                ["DUMMY", 2019, 1.276281562],
                ["DUMMY", 2020, 1.340095640],
            ],
            columns=["REGION", "YEAR", "VALUE"],
        ).set_index(["REGION", "YEAR"])

        assert_frame_equal(actual, expected)

with these fixtures

@fixture
def region_multiple():
    return pd.DataFrame(data=["SIMPLICITY", "DUMMY"], columns=["VALUE"])

@fixture
def year():
    return pd.DataFrame(
        data=[2014, 2015, 2016, 2017, 2018, 2019, 2020], columns=["VALUE"]
    )

@fixture
def discount_rate_multiple():
    df = pd.DataFrame(
        data=[
            ["SIMPLICITY", 0.05],
            ["DUMMY", 0.05],
        ],
        columns=["REGION", "VALUE"],
    ).set_index(["REGION"])
    return df

Log output

FAILED tests/results/test_results_package.py::TestDiscountFactor::test_df_two_regions - ValueError: Length of values (1) does not match length of index (2)

Operating System

Linux

What version of otoole are you running?

1.1.4

Possible Solution

No response

Anything else?

No response

[trevorb1]

Originally identified by @pdrpeters