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Use parametrize in repr test for nd arrays

This commit is contained in:
Bruno Oliveira 2018-08-01 07:04:25 -03:00
parent 611d254ed5
commit 6e32a1f73d
1 changed files with 14 additions and 15 deletions
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29
testing/python/approx.py
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@ -59,22 +59,21 @@ class TestApprox(object):
),
)
def test_repr_nd_array(self, plus_minus):
# Make sure that arrays of all different dimensions are repr'd
# correctly.
@pytest.mark.parametrize(
"value, repr_string",
[
(5., "approx(5.0 {pm} 5.0e-06)"),
([5.], "approx([5.0 {pm} 5.0e-06])"),
([[5.]], "approx([[5.0 {pm} 5.0e-06]])"),
([[5., 6.]], "approx([[5.0 {pm} 5.0e-06, 6.0 {pm} 6.0e-06]])"),
([[5.], [6.]], "approx([[5.0 {pm} 5.0e-06], [6.0 {pm} 6.0e-06]])"),
],
)
def test_repr_nd_array(self, plus_minus, value, repr_string):
"""Make sure that arrays of all different dimensions are repr'd correctly."""
np = pytest.importorskip("numpy")
examples = [
(np.array(5.), "approx(5.0 {pm} 5.0e-06)"),
(np.array([5.]), "approx([5.0 {pm} 5.0e-06])"),
(np.array([[5.]]), "approx([[5.0 {pm} 5.0e-06]])"),
(np.array([[5., 6.]]), "approx([[5.0 {pm} 5.0e-06, 6.0 {pm} 6.0e-06]])"),
(
np.array([[5.], [6.]]),
"approx([[5.0 {pm} 5.0e-06], [6.0 {pm} 6.0e-06]])",
),
]
for np_array, repr_string in examples:
assert repr(approx(np_array)) == repr_string.format(pm=plus_minus)
np_array = np.array(value)
assert repr(approx(np_array)) == repr_string.format(pm=plus_minus)
def test_operator_overloading(self):
assert 1 == approx(1, rel=1e-6, abs=1e-12)