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import datetime
from ..process.cleansers import Cleanser
def test_cleaning_dot_date():
ds = "25.1.72"
ds_double = "25.01.72"
four_year = "25.01.2072"
c = Cleanser(ds)
c_double = Cleanser(ds_double)
c_four = Cleanser(four_year)
assert c.clean() == datetime.date(2072, 1, 25)
assert c_double.clean() == datetime.date(2072, 1, 25)
assert c_four.clean() == datetime.date(2072, 1, 25)
def test_cleaning_slash_date():
ds = "25/1/72"
ds_double = "25/01/72"
four_year = "25/01/2072"
c = Cleanser(ds)
c_double = Cleanser(ds_double)
c_four = Cleanser(four_year)
assert c.clean() == datetime.date(2072, 1, 25)
assert c_double.clean() == datetime.date(2072, 1, 25)
assert c_four.clean() == datetime.date(2072, 1, 25)
def test_em_dash_key():
contains_em_dash = 'Pre 14-15 BL – Income both Revenue and Capital'
c = Cleanser(contains_em_dash)
assert c.clean() == 'Pre 14-15 BL - Income both Revenue and Capital'
def test_double_trailing_space():
contains_double_trailing = 'Pre 14-15 BL - Incoming both Revenue and Capital '
contains_single_trailing = 'Pre 14-15 BL - Incoming both Revenue and Capital '
c = Cleanser(contains_double_trailing)
assert c.clean() == 'Pre 14-15 BL - Incoming both Revenue and Capital'
c = Cleanser(contains_single_trailing)
assert c.clean() == 'Pre 14-15 BL - Incoming both Revenue and Capital'
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