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Pytest tests (#17750)

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* Convert core tests

* Convert component tests to use pytest assert

* Lint 🤷‍♂️

* Fix test

* Fix 3 typos in docs
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Paulus Schoutsen 2018-10-24 12:10:05 +02:00 • committed by GitHub
parent 4222f7562b
commit 08fe7c3ece
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223 changed files with 6747 additions and 7237 deletions
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42
tests/components/binary_sensor/test_bayesian.py
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@ -52,8 +52,8 @@ class TestBayesianBinarySensor(unittest.TestCase):
state = self.hass.states.get('binary_sensor.test_binary')
self.assertEqual([], state.attributes.get('observations'))
self.assertEqual(0.2, state.attributes.get('probability'))
assert [] == state.attributes.get('observations')
assert 0.2 == state.attributes.get('probability')
assert state.state == 'off'
@ -66,14 +66,14 @@ class TestBayesianBinarySensor(unittest.TestCase):
self.hass.block_till_done()
state = self.hass.states.get('binary_sensor.test_binary')
self.assertEqual([{
assert [{
'prob_false': 0.4,
'prob_true': 0.6
}, {
'prob_false': 0.1,
'prob_true': 0.9
}], state.attributes.get('observations'))
self.assertAlmostEqual(0.77, state.attributes.get('probability'))
}] == state.attributes.get('observations')
assert round(abs(0.77-state.attributes.get('probability')), 7) == 0
assert state.state == 'on'
@ -84,7 +84,7 @@ class TestBayesianBinarySensor(unittest.TestCase):
self.hass.block_till_done()
state = self.hass.states.get('binary_sensor.test_binary')
self.assertEqual(0.2, state.attributes.get('probability'))
assert 0.2 == state.attributes.get('probability')
assert state.state == 'off'
@ -123,8 +123,8 @@ class TestBayesianBinarySensor(unittest.TestCase):
state = self.hass.states.get('binary_sensor.test_binary')
self.assertEqual([], state.attributes.get('observations'))
self.assertEqual(0.2, state.attributes.get('probability'))
assert [] == state.attributes.get('observations')
assert 0.2 == state.attributes.get('probability')
assert state.state == 'off'
@ -136,11 +136,11 @@ class TestBayesianBinarySensor(unittest.TestCase):
self.hass.block_till_done()
state = self.hass.states.get('binary_sensor.test_binary')
self.assertEqual([{
assert [{
'prob_true': 0.8,
'prob_false': 0.4
}], state.attributes.get('observations'))
self.assertAlmostEqual(0.33, state.attributes.get('probability'))
}] == state.attributes.get('observations')
assert round(abs(0.33-state.attributes.get('probability')), 7) == 0
assert state.state == 'on'
@ -150,7 +150,7 @@ class TestBayesianBinarySensor(unittest.TestCase):
self.hass.block_till_done()
state = self.hass.states.get('binary_sensor.test_binary')
self.assertAlmostEqual(0.2, state.attributes.get('probability'))
assert round(abs(0.2-state.attributes.get('probability')), 7) == 0
assert state.state == 'off'
@ -181,7 +181,7 @@ class TestBayesianBinarySensor(unittest.TestCase):
self.hass.block_till_done()
state = self.hass.states.get('binary_sensor.test_binary')
self.assertAlmostEqual(1.0, state.attributes.get('probability'))
assert round(abs(1.0-state.attributes.get('probability')), 7) == 0
assert state.state == 'on'
@ -219,8 +219,8 @@ class TestBayesianBinarySensor(unittest.TestCase):
state = self.hass.states.get('binary_sensor.test_binary')
self.assertEqual([], state.attributes.get('observations'))
self.assertEqual(0.2, state.attributes.get('probability'))
assert [] == state.attributes.get('observations')
assert 0.2 == state.attributes.get('probability')
assert state.state == 'off'
@ -232,11 +232,11 @@ class TestBayesianBinarySensor(unittest.TestCase):
self.hass.block_till_done()
state = self.hass.states.get('binary_sensor.test_binary')
self.assertEqual([{
assert [{
'prob_true': 0.8,
'prob_false': 0.4
}], state.attributes.get('observations'))
self.assertAlmostEqual(0.33, state.attributes.get('probability'))
}] == state.attributes.get('observations')
assert round(abs(0.33-state.attributes.get('probability')), 7) == 0
assert state.state == 'on'
@ -246,7 +246,7 @@ class TestBayesianBinarySensor(unittest.TestCase):
self.hass.block_till_done()
state = self.hass.states.get('binary_sensor.test_binary')
self.assertAlmostEqual(0.11, state.attributes.get('probability'))
assert round(abs(0.11-state.attributes.get('probability')), 7) == 0
assert state.state == 'off'
@ -259,7 +259,7 @@ class TestBayesianBinarySensor(unittest.TestCase):
for pt, pf in zip(prob_true, prob_false):
prior = bayesian.update_probability(prior, pt, pf)
self.assertAlmostEqual(0.720000, prior)
assert round(abs(0.720000-prior), 7) == 0
prob_true = [0.8, 0.3, 0.9]
prob_false = [0.6, 0.4, 0.2]
@ -268,4 +268,4 @@ class TestBayesianBinarySensor(unittest.TestCase):
for pt, pf in zip(prob_true, prob_false):
prior = bayesian.update_probability(prior, pt, pf)
self.assertAlmostEqual(0.9130434782608695, prior)
assert round(abs(0.9130434782608695-prior), 7) == 0