MAINT: Run ruff on test file

.github/workflows/lint.yml

@@ -48,4 +48,6 @@ jobs:
         # Tell us what version we are using
         poetry run ruff version
         # Check the source file, ignore type annotations (ANN) for now.
-        poetry run ruff check numpy_financial/ --ignore F403,Q000,PLR0913,ERA001,TRY003,EM101,EM102,RET505,D203,D213,ANN --select ALL
+        poetry run ruff check numpy_financial/ --ignore F403 --select E,F,B,I
+        # Check the test file
+        poetry run ruff check tests/ --select E,F,B,I

tests/test_financial.py

@@ -1,13 +1,17 @@
-from decimal import Decimal
 import math
+from decimal import Decimal
 
 # Don't use 'import numpy as np', to avoid accidentally testing
 # the versions in numpy instead of numpy_financial.
 import numpy
+import pytest
 from numpy.testing import (
-    assert_, assert_almost_equal, assert_allclose, assert_equal, assert_raises
+    assert_,
+    assert_allclose,
+    assert_almost_equal,
+    assert_equal,
+    assert_raises,
 )
-import pytest
 
 import numpy_financial as npf
 
@@ -253,7 +257,9 @@ def test_mirr(self, values, finance_rate, reinvest_rate, expected):
     @pytest.mark.parametrize(
         "args, expected",
         [
-            ({'values': ['-4500', '-800', '800', '800', '600', '600', '800', '800', '700', '3000'],
+            ({'values': [
+                '-4500', '-800', '800', '800', '600', '600', '800', '800', '700', '3000'
+            ],
               'finance_rate': '0.08', 'reinvest_rate': '0.055'
               }, '0.066597175031553548874239618'
              ),
@@ -273,7 +279,11 @@ 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']), number_type(args['reinvest_rate']))
+        result = npf.mirr(
+            values,
+            number_type(args['finance_rate']),
+            number_type(args['reinvest_rate'])
+        )
 
         if expected is not numpy.nan:
             assert_almost_equal(result, number_type(expected), 15)
@@ -285,7 +295,9 @@ def test_mirr_no_real_solution_exception(self):
         # have the same sign, then npf.mirr returns NoRealSolutionException
         # when raise_exceptions is set to True.
         val = [39000, 30000, 21000, 37000, 46000]
-        assert_raises(npf.NoRealSolutionError, npf.mirr, val, 0.10, 0.12, raise_exceptions=True)
+
+        with pytest.raises(npf.NoRealSolutionError):
+            npf.mirr(val, 0.10, 0.12, raise_exceptions=True)
 
 
 class TestNper:
@@ -717,12 +729,15 @@ def test_irr_no_real_solution_exception(self):
         # have the same sign, then npf.irr returns NoRealSolutionException
         # when raise_exceptions is set to True.
         cashflows = numpy.array([40000, 5000, 8000, 12000, 30000])
-        assert_raises(npf.NoRealSolutionError, npf.irr, cashflows, raise_exceptions=True)
+
+        with pytest.raises(npf.NoRealSolutionError):
+            npf.irr(cashflows, raise_exceptions=True)
 
     def test_irr_maximum_iterations_exception(self):
         # Test that if the maximum number of iterations is reached,
         # then npf.irr returns IterationsExceededException
         # when raise_exceptions is set to True.
         cashflows = numpy.array([-40000, 5000, 8000, 12000, 30000])
-        assert_raises(npf.IterationsExceededError, npf.irr, cashflows,
-                      maxiter=1, raise_exceptions=True)
+
+        with pytest.raises(npf.IterationsExceededError):
+            npf.irr(cashflows, maxiter=1, raise_exceptions=True)