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123 lines
4.4 KiB
Python
123 lines
4.4 KiB
Python
# Copyright: (c) 2017, Ansible Project
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# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
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# Make coding more python3-ish
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from __future__ import (absolute_import, division, print_function)
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__metaclass__ = type
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import pytest
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import ansible.plugins.filter.mathstuff as ms
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from ansible.errors import AnsibleFilterError
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UNIQUE_DATA = (([1, 3, 4, 2], sorted([1, 2, 3, 4])),
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([1, 3, 2, 4, 2, 3], sorted([1, 2, 3, 4])),
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(['a', 'b', 'c', 'd'], sorted(['a', 'b', 'c', 'd'])),
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(['a', 'a', 'd', 'b', 'a', 'd', 'c', 'b'], sorted(['a', 'b', 'c', 'd'])),
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)
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TWO_SETS_DATA = (([1, 2], [3, 4], ([], sorted([1, 2]), sorted([1, 2, 3, 4]), sorted([1, 2, 3, 4]))),
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([1, 2, 3], [5, 3, 4], ([3], sorted([1, 2]), sorted([1, 2, 5, 4]), sorted([1, 2, 3, 4, 5]))),
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(['a', 'b', 'c'], ['d', 'c', 'e'], (['c'], sorted(['a', 'b']), sorted(['a', 'b', 'd', 'e']), sorted(['a', 'b', 'c', 'e', 'd']))),
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)
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@pytest.mark.parametrize('data, expected', UNIQUE_DATA)
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class TestUnique:
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def test_unhashable(self, data, expected):
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assert sorted(ms.unique(list(data))) == expected
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def test_hashable(self, data, expected):
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assert sorted(ms.unique(tuple(data))) == expected
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@pytest.mark.parametrize('dataset1, dataset2, expected', TWO_SETS_DATA)
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class TestIntersect:
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def test_unhashable(self, dataset1, dataset2, expected):
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assert sorted(ms.intersect(list(dataset1), list(dataset2))) == expected[0]
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def test_hashable(self, dataset1, dataset2, expected):
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assert sorted(ms.intersect(tuple(dataset1), tuple(dataset2))) == expected[0]
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@pytest.mark.parametrize('dataset1, dataset2, expected', TWO_SETS_DATA)
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class TestDifference:
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def test_unhashable(self, dataset1, dataset2, expected):
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assert sorted(ms.difference(list(dataset1), list(dataset2))) == expected[1]
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def test_hashable(self, dataset1, dataset2, expected):
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assert sorted(ms.difference(tuple(dataset1), tuple(dataset2))) == expected[1]
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@pytest.mark.parametrize('dataset1, dataset2, expected', TWO_SETS_DATA)
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class TestSymmetricDifference:
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def test_unhashable(self, dataset1, dataset2, expected):
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assert sorted(ms.symmetric_difference(list(dataset1), list(dataset2))) == expected[2]
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def test_hashable(self, dataset1, dataset2, expected):
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assert sorted(ms.symmetric_difference(tuple(dataset1), tuple(dataset2))) == expected[2]
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class TestMin:
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def test_min(self):
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assert ms.min((1, 2)) == 1
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assert ms.min((2, 1)) == 1
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assert ms.min(('p', 'a', 'w', 'b', 'p')) == 'a'
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class TestMax:
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def test_max(self):
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assert ms.max((1, 2)) == 2
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assert ms.max((2, 1)) == 2
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assert ms.max(('p', 'a', 'w', 'b', 'p')) == 'w'
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class TestLogarithm:
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def test_log_non_number(self):
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with pytest.raises(AnsibleFilterError, message='log() can only be used on numbers: a float is required'):
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ms.logarithm('a')
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with pytest.raises(AnsibleFilterError, message='log() can only be used on numbers: a float is required'):
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ms.logarithm(10, base='a')
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def test_log_ten(self):
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assert ms.logarithm(10, 10) == 1.0
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assert ms.logarithm(69, 10) * 1000 // 1 == 1838
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def test_log_natural(self):
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assert ms.logarithm(69) * 1000 // 1 == 4234
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def test_log_two(self):
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assert ms.logarithm(69, 2) * 1000 // 1 == 6108
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class TestPower:
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def test_power_non_number(self):
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with pytest.raises(AnsibleFilterError, message='pow() can only be used on numbers: a float is required'):
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ms.power('a', 10)
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with pytest.raises(AnsibleFilterError, message='pow() can only be used on numbers: a float is required'):
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ms.power(10, 'a')
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def test_power_squared(self):
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assert ms.power(10, 2) == 100
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def test_power_cubed(self):
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assert ms.power(10, 3) == 1000
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class TestInversePower:
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def test_root_non_number(self):
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with pytest.raises(AnsibleFilterError, message='root() can only be used on numbers: a float is required'):
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ms.inversepower(10, 'a')
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with pytest.raises(AnsibleFilterError, message='root() can only be used on numbers: a float is required'):
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ms.inversepower('a', 10)
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def test_square_root(self):
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assert ms.inversepower(100) == 10
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assert ms.inversepower(100, 2) == 10
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def test_cube_root(self):
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assert ms.inversepower(27, 3) == 3
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