def test_puf_path():
"""
Check that setting `data` to None uses the puf file
"""
baseline = False
start_year = 2016
reform = {"II_em": {2017: 10000}}
# puf.csv in ogusa/
if os.path.exists(PUF_PATH):
calc = get_micro_data.get_calculator(
baseline, start_year, reform=reform, data=PUF_PATH
)
# blind_head is only in the CPS file and e00700 is only in the
# PUF. See taxcalc/records_variables.json
assert (
calc.array("blind_head").sum() == 0
and calc.array("e00700").sum() > 0
)
# we do not have puf.csv
else:
# make sure TC is looking for puf.csv
with pytest.raises((IOError, ValueError), match="puf.csv"):
get_micro_data.get_calculator(
baseline,
start_year,
reform=reform,
records_start_year=CPS_START_YEAR,
data=None,
)
def test_get_calculator_cps(baseline, iit_reform):
calc = get_micro_data.get_calculator(
baseline=baseline,
calculator_start_year=2017,
reform=iit_reform,
data="cps",
gfactors=GrowFactors(),
records_start_year=CPS_START_YEAR,
)
assert calc.current_year == CPS_START_YEAR
def test_set_path():
"""
Check that 'notapath.csv' is passed to taxcalc. An error
containing 'notapath.csv' is sufficient proof for this
"""
baseline = False
start_year = 2016
reform = {"II_em": {2017: 10000}}
# In theory this path doesn't exist so there should be an IOError
# But taxcalc checks if the path exists and if it doesn't, it tries
# to read from an egg file. This raises a ValueError. At some point,
# this could change. So I think it's best to catch both errors
with pytest.raises((IOError, ValueError), match="notapath.csv"):
get_micro_data.get_calculator(
baseline,
start_year,
reform=reform,
records_start_year=CPS_START_YEAR,
data="notapath.csv",
)
def test_cap_inc_mtr():
"""
Test of the get_micro_data.cap_inc_mtr() function
"""
calc1 = get_micro_data.get_calculator(
baseline=True, calculator_start_year=2028, reform={}, data="cps"
)
calc1.advance_to_year(2028)
expected = np.genfromtxt(
os.path.join(
CUR_PATH, "test_io_data", "mtr_combined_capinc_for_tests.csv"
),
delimiter=",",
)
test_data = get_micro_data.cap_inc_mtr(calc1)
assert np.allclose(expected, test_data, equal_nan=True)
def test_get_calculator_puf_from_file():
iit_reform = {
"II_rt1": {2017: 0.09},
"II_rt2": {2017: 0.135},
"II_rt3": {2017: 0.225},
"II_rt4": {2017: 0.252},
"II_rt5": {2017: 0.297},
"II_rt6": {2017: 0.315},
"II_rt7": {2017: 0.3564},
}
calc = get_micro_data.get_calculator(
baseline=False,
calculator_start_year=2017,
reform=iit_reform,
data=PUF_PATH,
records_start_year=PUF_START_YEAR,
)
assert calc.current_year == 2013
def test_get_calculator_exception():
iit_reform = {
"II_rt1": {2017: 0.09},
"II_rt2": {2017: 0.135},
"II_rt3": {2017: 0.225},
"II_rt4": {2017: 0.252},
"II_rt5": {2017: 0.297},
"II_rt6": {2017: 0.315},
"II_rt7": {2017: 0.3564},
}
with pytest.raises(Exception):
assert get_micro_data.get_calculator(
baseline=False,
calculator_start_year=TC_LAST_YEAR + 1,
reform=iit_reform,
data="cps",
gfactors=GrowFactors(),
records_start_year=CPS_START_YEAR,
)
def test_cps():
"""
Check that setting `data` to 'cps' uses cps data
"""
baseline = False
start_year = 2016
reform = {"II_em": {2017: 10000}}
calc = get_micro_data.get_calculator(
baseline,
start_year,
reform=reform,
records_start_year=CPS_START_YEAR,
data="cps",
)
# blind_head is only in the CPS file and e00700 is only in the PUF.
# See taxcalc/records_variables.json
assert (
calc.array("blind_head").sum() > 0 and calc.array("e00700").sum() == 0
)