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Merge pull request #94 from MashyBasker/test-docs-when-built-issue73
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Add automated documentation testing when building
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Kai-Striega authored Dec 10, 2023
2 parents db5ab0a + 996adfb commit 1656639
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Showing 2 changed files with 15 additions and 10 deletions.
2 changes: 1 addition & 1 deletion .github/workflows/pythonpackage.yml
Original file line number Diff line number Diff line change
Expand Up @@ -22,4 +22,4 @@ jobs:
poetry install --with=test
- name: Test with pytest
run: |
poetry run pytest
poetry run pytest --doctest-modules
23 changes: 14 additions & 9 deletions numpy_financial/_financial.py
Original file line number Diff line number Diff line change
Expand Up @@ -146,7 +146,7 @@ def fv(rate, nper, pmt, pv, when='end'):
5% (annually) compounded monthly?
>>> npf.fv(0.05/12, 10*12, -100, -100)
15692.928894335748
15692.92889433575
By convention, the negative sign represents cash flow out (i.e. money not
available today). Thus, saving $100 a month at 5% annual interest leads
Expand All @@ -157,7 +157,7 @@ def fv(rate, nper, pmt, pv, when='end'):
>>> a = np.array((0.05, 0.06, 0.07))/12
>>> npf.fv(a, 10*12, -100, -100)
array([ 15692.92889434, 16569.87435405, 17509.44688102]) # may vary
array([15692.92889434, 16569.87435405, 17509.44688102])
"""
when = _convert_when(when)
Expand Down Expand Up @@ -327,9 +327,9 @@ def nper(rate, pmt, pv, fv=0, when='end'):
... 8000 : 9001 : 1000]))
array([[[ 64.07334877, 74.06368256],
[108.07548412, 127.99022654]],
<BLANKLINE>
[[ 66.12443902, 76.87897353],
[114.70165583, 137.90124779]]])
"""
when = _convert_when(when)
rate, pmt, pv, fv, when = np.broadcast_arrays(rate, pmt, pv, fv, when)
Expand Down Expand Up @@ -592,7 +592,7 @@ def pv(rate, nper, pmt, fv=0, when='end'):
>>> a = np.array((0.05, 0.04, 0.03))/12
>>> npf.pv(a, 10*12, -100, 15692.93)
array([ -100.00067132, -649.26771385, -1273.78633713]) # may vary
array([ -100.00067132, -649.26771385, -1273.78633713])
So, to end up with the same $15692.93 under the same $100 per month
"savings plan," for annual interest rates of 4% and 3%, one would
Expand Down Expand Up @@ -931,7 +931,7 @@ def npv(rate, values):
net present value:
>>> rate, cashflows = 0.08, [-40_000, 5_000, 8_000, 12_000, 30_000]
>>> npf.npv(rate, cashflows).round(5)
>>> np.round(npf.npv(rate, cashflows), 5)
3065.22267
It may be preferable to split the projected cashflow into an initial
Expand Down Expand Up @@ -1061,10 +1061,15 @@ def mirr(values, finance_rate, reinvest_rate, *, raise_exceptions=False):
Finally, let's explore the situation where all cash flows are positive,
and the `raise_exceptions` parameter is set to True.
>>> npf.mirr([100, 50, 60, 70], 0.10, 0.12, raise_exceptions=True)
NoRealSolutionError: No real solution exists for MIRR since all
cashflows are of the same sign.
>>> npf.mirr([
... 100, 50, 60, 70],
... 0.10, 0.12,
... raise_exceptions=True
... ) #doctest: +NORMALIZE_WHITESPACE
Traceback (most recent call last):
...
numpy_financial._financial.NoRealSolutionError:
No real solution exists for MIRR since all cashflows are of the same sign.
"""
values = np.asarray(values)
n = values.size
Expand Down

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