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TST: add PV tests for basic examples #85

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32 changes: 24 additions & 8 deletions tests/test_financial.py
Original file line number Diff line number Diff line change
Expand Up @@ -90,13 +90,27 @@ def test_decimal_with_when(self):


class TestPV:
def test_pv(self):
assert_almost_equal(npf.pv(0.07, 20, 12000, 0), -127128.17, 2)

def test_pv_decimal(self):
assert_equal(npf.pv(Decimal('0.07'), Decimal('20'), Decimal('12000'),
Decimal('0')),
Decimal('-127128.1709461939327295222005'))
@pytest.mark.parametrize("rate, periods, payments, future_value, exp_result", [
(0.07, 20, 0, 12000, -3101.0280337664),
(0.025, 4, 0, 1000, -905.9506447998),
(-0.07, 56, 0, 1200000, -69845129.5182595000),
(0.05, 20, 0, -12000, 4522.6737944760),
(0.05, 356.5288568, 0, -25000.00, 0.0006971776),
(0.05, 50, 0, 0, 0.0000000000),
(0.05, 26, 500, 0, -7187.5926504975),
])
Comment on lines +93 to +101
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These values should be strings, not floats. A float stores an inexact representation of most numbers, the decimal representation of that number will not be the same as the floating point representation. For example see:

>>> from decimal import Decimal
>>> Decimal(0.1) == Decimal("0.1")
False
>>> Decimal(0.1)
Decimal('0.1000000000000000055511151231257827021181583404541015625')
>>> Decimal("0.1")
Decimal('0.1')

@pytest.mark.parametrize('number_type', [float, Decimal])
def test_pv(self, rate, periods, payments, future_value, exp_result, number_type):
result = npf.pv(rate, periods, payments, future_value)

if exp_result is not numpy.nan:
if number_type is Decimal:
assert result == pytest.approx(exp_result, rel=0.2)
Comment on lines +107 to +108
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Please prefer the routines in numpy.testing over those in pytest.

In this case, we should not be testing that two values are approximately equal, but that they are exactly equal as, when we are using Decimal, we should be keeping arbitrary precision.

else:
assert_allclose(float(result), float(
exp_result), atol=1e-10)
Comment on lines +110 to +111
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This looks good. :)

else:
assert numpy.isnan(result)


class TestRate:
Expand Down Expand Up @@ -279,6 +293,7 @@ def test_mirr(self, values, finance_rate, reinvest_rate, expected):
)
def test_mirr_decimal(self, number_type, args, expected):
values = [number_type(v) for v in args['values']]

result = npf.mirr(
values,
number_type(args['finance_rate']),
Expand Down Expand Up @@ -721,7 +736,8 @@ def test_gh_39(self):

def test_gh_44(self):
# "true" value as calculated by Google sheets
cf = [-1678.87, 771.96, 1814.05, 3520.30, 3552.95, 3584.99, 4789.91, -1]
cf = [-1678.87, 771.96, 1814.05, 3520.30,
3552.95, 3584.99, 4789.91, -1]
assert_almost_equal(npf.irr(cf), 1.00426, 4)

def test_irr_no_real_solution_exception(self):
Expand Down