}

def test_one_exact_match():

    statement = [S1]

    books = [B1]

        [],

    )

def test_multiple_exact_matches():

    statement = [S1, S2]

    books = [B1, B2]

        [],

    )

def test_one_mismatch():

    statement = [S1]

    books = []

        [],

    )

def test_multiple_mismatches():

    statement = [S1]

    books = [B2]

        [B2],

    )

def test_next_day_matches():

    statement = [S3]

    books = [B3_next_day]

        [],

    )

def test_next_week_matches():

    statement = [S3]

    books = [B3_next_week]

        [],

    )

def test_incorrect_amount_does_not_match():

    statement = [S3]

    books = [B3_mismatch_amount]

        [B3_mismatch_amount],

    )

def test_payee_mismatch_ok_when_only_one_that_amount_and_date():

    statement = [S3]

    books = [B3_payee_mismatch_1]

        [],

    )

def test_payee_mismatch_not_ok_when_multiple_that_amount_and_date():

    statement = [S3]

    books = [B3_payee_mismatch_1, B3_payee_mismatch_2]

        [B3_payee_mismatch_1, B3_payee_mismatch_2],

    )

def test_remove_payee_junk():

    assert remove_payee_junk('WIDGETSRUS INC PAYMENT 1') == 'WIDGETSRUS'

    assert remove_payee_junk('0000010017') == '10017'

def test_date_proximity():

    assert date_proximity(datetime.date(2021, 8, 23), datetime.date(2021, 8, 23)) == 1.0

    assert date_proximity(datetime.date(2021, 8, 23), datetime.date(2021, 8, 23) - datetime.timedelta(days=30)) == 0.5

    assert date_proximity(datetime.date(2021, 8, 23), datetime.date(2021, 8, 23) - datetime.timedelta(days=60)) == 0.0

def test_remove_duplicate_words():

    assert remove_duplicate_words('Hi Foo Kow FOO') == 'Hi Foo Kow'

def test_payee_matches_when_first_word_matches():

    assert payee_match('Gandi San Francisco', 'Gandi example.com renewal 1234567') == 1.0

    assert payee_match('USPS 123456789 Portland', 'USPS John Brown') == 0.8

def test_metadata_for_match(monkeypatch):

    monkeypatch.setenv('CONSERVANCY_REPOSITORY', '.')

    assert metadata_for_match(([S1], [B1], []), 'statement.pdf', 'statement.csv') == [

        ('2022/imports.beancount', 777, '    bank-statement-csv: "statement.csv:222"'),

    ]

def test_no_metadata_if_no_matches():

    assert metadata_for_match(([S1], [], ['no match']), 'statement.pdf', 'statement.csv') == []

    assert metadata_for_match(([], [B1], ['no match']), 'statement.pdf', 'statement.csv') == []

    assert metadata_for_match(([S1], [B2], ['no match']), 'statement.pdf', 'statement.csv') == []

def test_write_to_books():

    books = textwrap.dedent("""\

        2021-08-16 txn "Gandi" "transfer seleniumconf.us"

          Expenses:Hosting                        15.50 USD""")

    os.remove(f.name)

def test_totals():

    assert totals([

        ([S1], [B1], []),

        ([], [B3_next_day], []),

    ]) == (decimal.Decimal('10'), decimal.Decimal('20'), decimal.Decimal('30'))

def test_payee_not_considered_if_check_id_present():

    # These records match aside from check-id.

    statement = [S3]

        [B3_unmatched_check_id],

    )

def test_subset_sum_match():

    statement = [S4]

    books = [B4A, B4B, B4C]

        [],  # No remaining books trans.

    )

def test_subset_passes_through_all_non_matches():

    """This was used to locate a bug where some of the non-matches had

    gone missing due to mutation of books_trans."""

    ]

    books_trans = [

        B2,  # No match

        B3_next_day, B3_next_week,  # No match

    ]

    assert subset_match(statement_trans, books_trans) == (