def test_get_list_synapse_with_raise_missing_parameters(self):
# Init
neuron1 = Neuron(name='neurone1', parameters={'var1': 'val1'})
neuron2 = Neuron(name='neurone2', parameters={'var2': 'val2'})
neuron3 = Neuron(name='neurone3', parameters={'var3': 'val3'})
neuron4 = Neuron(name='neurone4', parameters={'var4': 'val4'})
fake_geolocation_parameters = {
"longitude": 66,
"radius": 66,
}
signal1 = Signal(name="geolocation",
parameters=fake_geolocation_parameters)
signal2 = Signal(name="order",
parameters="this is the second sentence")
synapse1 = Synapse(name="Synapse1",
neurons=[neuron1, neuron2],
signals=[signal1])
synapse2 = Synapse(name="Synapse2",
neurons=[neuron3, neuron4],
signals=[signal2])
synapses_list = [synapse1, synapse2]
br = Brain(synapses=synapses_list)
# Stubbing the Geolocation Signal with the brain
geo = Geolocation()
geo.brain = br
with self.assertRaises(MissingParameter):
geo.run()
def test_get_not_containing_words(cls):
signal1 = Signal(name="order",
parameters={
"matching-type": "not-contain",
"excluded-words": ["that", "is"]
})
# get the correct list of excluded words
expected_list_excluded_words = ["that", "is"]
cls.assertEqual(expected_list_excluded_words,
OrderAnalyser.get_not_containing_words(signal=signal1))
# assert it returns None when a str is provided and not a list
signal1 = Signal(name="order",
parameters={
"matching-type": "not-contain",
"excluded_words": "that"
})
cls.assertIsNone(
OrderAnalyser.get_not_containing_words(signal=signal1))
# assert it returns None when `excluded_words` is not provided
signal1 = Signal(name="order",
parameters={"matching-type": "not-contain"})
cls.assertIsNone(
OrderAnalyser.get_not_containing_words(signal=signal1))
def test_get_signal_order(cls):
signal1 = Signal(name="order",
parameters="expected order in the signal")
signal2 = Signal(name="order",
parameters={
"matching-type": "strict",
"text": "that is the sentence"
})
signal3 = Signal(name="order",
parameters={
"matching-type": "strict",
"fake-value": "that is the sentence"
})
# Signal order is a str
expected_signal_order = "expected order in the signal"
cls.assertEqual(expected_signal_order,
OrderAnalyser.get_signal_order(signal=signal1))
# Signal order is a dict
expected_signal_order = "that is the sentence"
cls.assertEqual(expected_signal_order,
OrderAnalyser.get_signal_order(signal=signal2))
# signal order is a dict and `text` element is missing
expected_signal_order = "" # not found !
cls.assertEqual(expected_signal_order,
OrderAnalyser.get_signal_order(signal=signal3))
def test_order_correction(self):
# test with only stt-correction
testing_order = "thus is my test"
signal_parameter = {
"stt-correction": [{
"input": "thus",
"output": "this"
}]
}
testing_signals = Signal(name="test", parameters=signal_parameter)
expected_fixed_order = "this is my test"
self.assertEqual(
OrderAnalyser.order_correction(order=testing_order,
signal=testing_signals),
expected_fixed_order)
# test with both stt-correction and stt-correction-file
testing_order = "thus is my test"
signal_parameter = {
"stt-correction": [{
"input": "thus",
"output": "this"
}],
"stt-correction-file": self.correction_file_to_test
}
testing_signals = Signal(name="test", parameters=signal_parameter)
expected_fixed_order = "this is my order"
self.assertEqual(
OrderAnalyser.order_correction(order=testing_order,
signal=testing_signals),
expected_fixed_order)
# test with stt-correction that override stt-correction-file
testing_order = "thus is my test"
signal_parameter = {
"stt-correction": [{
"input": "test",
"output": "overridden"
}],
"stt-correction-file": self.correction_file_to_test
}
testing_signals = Signal(name="test", parameters=signal_parameter)
expected_fixed_order = "thus is my overridden"
self.assertEqual(
OrderAnalyser.order_correction(order=testing_order,
signal=testing_signals),
expected_fixed_order)
def test_get_matching_synapse(self):
# Init
neuron1 = Neuron(name='neurone1', parameters={'var1': 'val1'})
neuron2 = Neuron(name='neurone2', parameters={'var2': 'val2'})
neuron3 = Neuron(name='neurone3', parameters={'var3': 'val3'})
neuron4 = Neuron(name='neurone4', parameters={'var4': 'val4'})
signal1 = Signal(name="order", parameters="this is the sentence")
signal2 = Signal(name="order",
parameters="this is the second sentence")
signal3 = Signal(name="order",
parameters="that is part of the third sentence")
synapse1 = Synapse(name="Synapse1",
neurons=[neuron1, neuron2],
signals=[signal1])
synapse2 = Synapse(name="Synapse2",
neurons=[neuron3, neuron4],
signals=[signal2])
synapse3 = Synapse(name="Synapse3",
neurons=[neuron2, neuron4],
signals=[signal3])
all_synapse_list = [synapse1, synapse2, synapse3]
br = Brain(synapses=all_synapse_list)
# TEST1: should return synapse1
spoken_order = "this is the sentence"
# Create the matched synapse
matched_synapse_1 = MatchedSynapse(matched_synapse=synapse1,
matched_order=spoken_order,
user_order=spoken_order)
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertEqual(len(matched_synapses), 1)
self.assertTrue(matched_synapse_1 in matched_synapses)
# TEST2: should return synapse1 and 2
spoken_order = "this is the second sentence"
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertEqual(len(matched_synapses), 2)
self.assertTrue(synapse1, synapse2 in matched_synapses)
# TEST3: should empty
spoken_order = "not a valid order"
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertFalse(matched_synapses)
def _get_signals(cls, signals_dict):
"""
Get a list of Signal object from a signals dict
:param signals_dict: Signal name or dictionary of Signal_name/Signal_parameters
:type signals_dict: String or dict
:return: A list of Event and/or Order
:rtype: List
:Example:
signals = cls._get_signals(synapses_dict["signals"])
.. seealso:: Event, Order
.. warnings:: Class method and Private
"""
signals = list()
for signal_dict in signals_dict:
if ConfigurationChecker().check_signal_dict(signal_dict):
for signal_name in signal_dict:
new_signal = Signal(name=signal_name,
parameters=signal_dict[signal_name])
signals.append(new_signal)
return signals
def test_Synapse(self):
neuron1 = Neuron(name='neurone1', parameters={'var1': 'val1'})
neuron2 = Neuron(name='neurone2', parameters={'var2': 'val2'})
neuron3 = Neuron(name='neurone3', parameters={'var3': 'val3'})
neuron4 = Neuron(name='neurone4', parameters={'var4': 'val4'})
signal1 = Signal(name="order", parameters="this is the sentence")
signal2 = Signal(name="order",
parameters="this is the second sentence")
synapse1 = Synapse(name="Synapse1",
neurons=[neuron1, neuron2],
signals=[signal1])
synapse2 = Synapse(name="Synapse2",
neurons=[neuron3, neuron4],
signals=[signal2])
synapse3 = Synapse(name="Synapse1",
neurons=[neuron1, neuron2],
signals=[signal1])
expected_result_serialize = {
'signals': [{
'name': 'order',
'parameters': 'this is the sentence'
}],
'neurons': [{
'name': 'neurone1',
'parameters': {
'var1': 'val1'
}
}, {
'name': 'neurone2',
'parameters': {
'var2': 'val2'
}
}],
'name':
'Synapse1',
'enabled':
True
}
self.assertDictEqual(expected_result_serialize, synapse1.serialize())
self.assertTrue(synapse1.__eq__(synapse3))
self.assertFalse(synapse1.__eq__(synapse2))
def setUp(self):
# Kill the singleton
Singleton._instances = dict()
# Init
neuron1 = Neuron(name='neurone1', parameters={'var1': 'val1'})
neuron2 = Neuron(name='neurone2', parameters={'var2': 'val2'})
neuron3 = Neuron(name='neurone3', parameters={'var3': 'val3'})
neuron4 = Neuron(name='neurone4', parameters={'var4': 'val4'})
signal1 = Signal(name="order", parameters="this is the sentence")
signal2 = Signal(name="order",
parameters="this is the second sentence")
signal3 = Signal(name="order",
parameters="that is part of the third sentence")
self.synapse1 = Synapse(name="Synapse1",
neurons=[neuron1, neuron2],
signals=[signal1])
self.synapse2 = Synapse(name="Synapse2",
neurons=[neuron3, neuron4],
signals=[signal2])
self.synapse3 = Synapse(name="Synapse3",
neurons=[neuron2, neuron4],
signals=[signal3])
self.all_synapse_list1 = [self.synapse1, self.synapse2, self.synapse3]
self.all_synapse_list2 = [self.synapse2, self.synapse3]
self.brain_test1 = Brain(synapses=self.all_synapse_list1)
self.brain_test2 = Brain(synapses=self.all_synapse_list2)
# this brain is the same as the first one
self.brain_test3 = Brain(synapses=self.all_synapse_list1)
self.settings_test = Settings(default_synapse="Synapse3")
# clean the LiFO
LIFOBuffer.lifo_list = list()
def test_is_order_matching_signal(self):
# Note: This is a private method, most of the test use cases are covered by `test_get_matching_synapse`
# all lowercase
test_order = "expected order in the signal"
signal1 = Signal(name="order",
parameters="expected order in the signal")
test_signal = signal1
self.assertTrue(
OrderAnalyser.is_order_matching_signal(user_order=test_order,
signal=test_signal))
# with uppercase
test_order = "Expected Order In The Signal"
test_signal = signal1
self.assertTrue(
OrderAnalyser.is_order_matching_signal(user_order=test_order,
signal=test_signal))
def test_get_matching_synapse(self):
# Init
neuron1 = Neuron(name='neurone1', parameters={'var1': 'val1'})
neuron2 = Neuron(name='neurone2', parameters={'var2': 'val2'})
neuron3 = Neuron(name='neurone3', parameters={'var3': 'val3'})
neuron4 = Neuron(name='neurone4', parameters={'var4': 'val4'})
signal1 = Signal(name="order", parameters="this is the sentence")
signal2 = Signal(name="order",
parameters="this is the second sentence")
signal3 = Signal(name="order",
parameters="that is part of the third sentence")
signal4 = Signal(name="order",
parameters={
"matching-type": "strict",
"text": "that is part of the fourth sentence"
})
signal5 = Signal(name="order",
parameters={
"matching-type": "ordered-strict",
"text": "sentence 5 with specific order"
})
signal6 = Signal(name="order",
parameters={
"matching-type": "normal",
"text": "matching type normal"
})
signal7 = Signal(name="order",
parameters={
"matching-type": "non-existing",
"text": "matching type non existing"
})
signal8 = Signal(name="order",
parameters={
"matching-type": "non-existing",
"non-existing-parameter": "will not match order"
})
signal9 = Signal(
name="order",
parameters=
"order that should be triggered because synapse is disabled")
signal10 = Signal(name="order", parameters="i say this")
signal11 = Signal(name="order", parameters="and then that")
signal12 = Signal(name="order",
parameters={
"matching-type": "strict",
"text": "just 1 test",
"stt-correction": [{
"input": "one",
"output": "1"
}]
})
synapse1 = Synapse(name="Synapse1",
neurons=[neuron1, neuron2],
signals=[signal1])
synapse2 = Synapse(name="Synapse2",
neurons=[neuron3, neuron4],
signals=[signal2])
synapse3 = Synapse(name="Synapse3",
neurons=[neuron2, neuron4],
signals=[signal3])
synapse4 = Synapse(name="Synapse4",
neurons=[neuron2, neuron4],
signals=[signal4])
synapse5 = Synapse(name="Synapse5",
neurons=[neuron1, neuron2],
signals=[signal5])
synapse6 = Synapse(name="Synapse6",
neurons=[neuron1, neuron2],
signals=[signal6])
synapse7 = Synapse(name="Synapse7",
neurons=[neuron1, neuron2],
signals=[signal7])
synapse8 = Synapse(name="Synapse8",
neurons=[neuron1, neuron2],
signals=[signal8])
synapse9 = Synapse(name="Synapse9",
enabled=False,
neurons=[neuron1, neuron2],
signals=[signal9])
synapse10 = Synapse(name="Synapse10",
neurons=[neuron1],
signals=[signal10, signal11])
synapse11 = Synapse(name="Synapse11",
neurons=[neuron1],
signals=[signal12])
all_synapse_list = [
synapse1, synapse2, synapse3, synapse4, synapse5, synapse6,
synapse7, synapse8, synapse9, synapse10, synapse11
]
br = Brain(synapses=all_synapse_list)
# TEST1: should return synapse1
spoken_order = "this is the sentence"
# Create the matched synapse
expected_matched_synapse_1 = MatchedSynapse(matched_synapse=synapse1,
matched_order=spoken_order,
user_order=spoken_order)
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertEqual(len(matched_synapses), 1)
self.assertTrue(expected_matched_synapse_1 in matched_synapses)
# with defined normal matching type
spoken_order = "matching type normal"
expected_matched_synapse_5 = MatchedSynapse(matched_synapse=synapse6,
matched_order=spoken_order,
user_order=spoken_order)
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertEqual(len(matched_synapses), 1)
self.assertTrue(expected_matched_synapse_5 in matched_synapses)
# TEST2: should return synapse1 and 2
spoken_order = "this is the second sentence"
expected_matched_synapse_2 = MatchedSynapse(matched_synapse=synapse1,
matched_order=spoken_order,
user_order=spoken_order)
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertEqual(len(matched_synapses), 2)
self.assertTrue(expected_matched_synapse_1, expected_matched_synapse_2
in matched_synapses)
# TEST3: should empty
spoken_order = "not a valid order"
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertFalse(matched_synapses)
# TEST4: with matching type strict
spoken_order = "that is part of the fourth sentence"
expected_matched_synapse_3 = MatchedSynapse(matched_synapse=synapse4,
matched_order=spoken_order,
user_order=spoken_order)
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertTrue(expected_matched_synapse_3 in matched_synapses)
spoken_order = "that is part of the fourth sentence with more word"
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertFalse(matched_synapses)
# TEST5: with matching type ordered strict
spoken_order = "sentence 5 with specific order"
expected_matched_synapse_4 = MatchedSynapse(matched_synapse=synapse5,
matched_order=spoken_order,
user_order=spoken_order)
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertEqual(len(matched_synapses), 1)
self.assertTrue(expected_matched_synapse_4 in matched_synapses)
spoken_order = "order specific with 5 sentence"
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertFalse(matched_synapses)
# TEST6: non supported type of matching. should fallback to normal
spoken_order = "matching type non existing"
expected_matched_synapse_5 = MatchedSynapse(matched_synapse=synapse7,
matched_order=spoken_order,
user_order=spoken_order)
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertTrue(expected_matched_synapse_5 in matched_synapses)
# TEST7: should not match the disabled synapse
spoken_order = "order that should be triggered because synapse is disabled"
# we expect an empty list
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertTrue(len(matched_synapses) == 0)
# TEST8: a spoken order that match multiple time the same synapse should return the synapse only once
spoken_order = "i say this and then that"
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertTrue("Synapse10" in matched_synapse.synapse.name
for matched_synapse in matched_synapses)
self.assertTrue(len(matched_synapses) == 1)
# TEST9: with STT correction
spoken_order = "just one test"
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertTrue("Synapse11" in matched_synapse.synapse.name
for matched_synapse in matched_synapses)
self.assertTrue(spoken_order in matched_synapse.user_order
for matched_synapse in matched_synapses)
self.assertTrue(len(matched_synapses) == 1)
def test_order_correction(self):
# test with only stt-correction
testing_order = "thus is my test"
signal_parameter = {
"stt-correction": [{
"input": "thus",
"output": "this"
}]
}
testing_signals = Signal(name="test", parameters=signal_parameter)
expected_fixed_order = "this is my test"
self.assertEqual(
OrderAnalyser.order_correction(order=testing_order,
signal=testing_signals),
expected_fixed_order)
# test with both stt-correction and stt-correction-file
testing_order = "thus is my test"
signal_parameter = {
"stt-correction": [{
"input": "thus",
"output": "this"
}],
"stt-correction-file": self.correction_file_to_test
}
testing_signals = Signal(name="test", parameters=signal_parameter)
expected_fixed_order = "this is my order"
self.assertEqual(
OrderAnalyser.order_correction(order=testing_order,
signal=testing_signals),
expected_fixed_order)
# test with stt-correction that override stt-correction-file
testing_order = "thus is my test"
signal_parameter = {
"stt-correction": [{
"input": "test",
"output": "overridden"
}],
"stt-correction-file": self.correction_file_to_test
}
testing_signals = Signal(name="test", parameters=signal_parameter)
expected_fixed_order = "thus is my overridden"
self.assertEqual(
OrderAnalyser.order_correction(order=testing_order,
signal=testing_signals),
expected_fixed_order)
# test with stt-correction that override multiple words.
testing_order = "thus is my test"
signal_parameter = {
"stt-correction": [{
"input": "is my test",
"output": "is overridden"
}]
}
testing_signals = Signal(name="test", parameters=signal_parameter)
expected_fixed_order = "thus is overridden"
self.assertEqual(
OrderAnalyser.order_correction(order=testing_order,
signal=testing_signals),
expected_fixed_order)
# test stt-correction that override one word with multiple words.
testing_order = "thus is my test"
signal_parameter = {
"stt-correction": [{
"input": "test",
"output": "is overridden"
}]
}
testing_signals = Signal(name="test", parameters=signal_parameter)
expected_fixed_order = "thus is my is overridden"
self.assertEqual(
OrderAnalyser.order_correction(order=testing_order,
signal=testing_signals),
expected_fixed_order)
# test stt-correction that multiple words override files one word.
testing_order = "thus is my test"
signal_parameter = {
"stt-correction": [{
"input": "test",
"output": "the overridden"
}],
"stt-correction-file": self.correction_file_to_test
}
testing_signals = Signal(name="test", parameters=signal_parameter)
expected_fixed_order = "thus is my the overridden"
self.assertEqual(
OrderAnalyser.order_correction(order=testing_order,
signal=testing_signals),
expected_fixed_order)
# test stt-correction with multiple inputs words in file.
testing_order = "hello the test"
signal_parameter = {
"stt-correction-file": self.correction_file_to_test
}
testing_signals = Signal(name="test", parameters=signal_parameter)
expected_fixed_order = "i am order"
self.assertEqual(
OrderAnalyser.order_correction(order=testing_order,
signal=testing_signals),
expected_fixed_order)
def test_get_matching_synapse(self):
# Init
neuron1 = Neuron(name='neurone1', parameters={'var1': 'val1'})
neuron2 = Neuron(name='neurone2', parameters={'var2': 'val2'})
neuron3 = Neuron(name='neurone3', parameters={'var3': 'val3'})
neuron4 = Neuron(name='neurone4', parameters={'var4': 'val4'})
signal1 = Signal(name="order", parameters="this is the sentence")
signal2 = Signal(name="order",
parameters="this is the second sentence")
signal3 = Signal(name="order",
parameters="that is part of the third sentence")
signal4 = Signal(name="order",
parameters={
"matching-type": "strict",
"text": "that is part of the fourth sentence"
})
signal5 = Signal(name="order",
parameters={
"matching-type": "ordered-strict",
"text": "sentence 5 with specific order"
})
signal6 = Signal(name="order",
parameters={
"matching-type": "normal",
"text": "matching type normal"
})
signal7 = Signal(name="order",
parameters={
"matching-type": "non-existing",
"text": "matching type non existing"
})
signal8 = Signal(name="order",
parameters={
"matching-type": "non-existing",
"non-existing-parameter": "will not match order"
})
synapse1 = Synapse(name="Synapse1",
neurons=[neuron1, neuron2],
signals=[signal1])
synapse2 = Synapse(name="Synapse2",
neurons=[neuron3, neuron4],
signals=[signal2])
synapse3 = Synapse(name="Synapse3",
neurons=[neuron2, neuron4],
signals=[signal3])
synapse4 = Synapse(name="Synapse4",
neurons=[neuron2, neuron4],
signals=[signal4])
synapse5 = Synapse(name="Synapse5",
neurons=[neuron1, neuron2],
signals=[signal5])
synapse6 = Synapse(name="Synapse6",
neurons=[neuron1, neuron2],
signals=[signal6])
synapse7 = Synapse(name="Synapse6",
neurons=[neuron1, neuron2],
signals=[signal7])
synapse8 = Synapse(name="Synapse6",
neurons=[neuron1, neuron2],
signals=[signal8])
all_synapse_list = [
synapse1, synapse2, synapse3, synapse4, synapse5, synapse6,
synapse7, synapse8
]
br = Brain(synapses=all_synapse_list)
# TEST1: should return synapse1
spoken_order = "this is the sentence"
# Create the matched synapse
expected_matched_synapse_1 = MatchedSynapse(matched_synapse=synapse1,
matched_order=spoken_order,
user_order=spoken_order)
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertEqual(len(matched_synapses), 1)
self.assertTrue(expected_matched_synapse_1 in matched_synapses)
# with defined normal matching type
spoken_order = "matching type normal"
expected_matched_synapse_5 = MatchedSynapse(matched_synapse=synapse6,
matched_order=spoken_order,
user_order=spoken_order)
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertEqual(len(matched_synapses), 1)
self.assertTrue(expected_matched_synapse_5 in matched_synapses)
# TEST2: should return synapse1 and 2
spoken_order = "this is the second sentence"
expected_matched_synapse_2 = MatchedSynapse(matched_synapse=synapse1,
matched_order=spoken_order,
user_order=spoken_order)
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertEqual(len(matched_synapses), 2)
self.assertTrue(expected_matched_synapse_1, expected_matched_synapse_2
in matched_synapses)
# TEST3: should empty
spoken_order = "not a valid order"
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertFalse(matched_synapses)
# TEST4: with matching type strict
spoken_order = "that is part of the fourth sentence"
expected_matched_synapse_3 = MatchedSynapse(matched_synapse=synapse4,
matched_order=spoken_order,
user_order=spoken_order)
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertTrue(expected_matched_synapse_3 in matched_synapses)
spoken_order = "that is part of the fourth sentence with more word"
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertFalse(matched_synapses)
# TEST5: with matching type ordered strict
spoken_order = "sentence 5 with specific order"
expected_matched_synapse_4 = MatchedSynapse(matched_synapse=synapse5,
matched_order=spoken_order,
user_order=spoken_order)
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertEqual(len(matched_synapses), 1)
self.assertTrue(expected_matched_synapse_4 in matched_synapses)
spoken_order = "order specific with 5 sentence"
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertFalse(matched_synapses)
# TEST6: non supported type of matching. should fallback to normal
spoken_order = "matching type non existing"
expected_matched_synapse_5 = MatchedSynapse(matched_synapse=synapse7,
matched_order=spoken_order,
user_order=spoken_order)
matched_synapses = OrderAnalyser.get_matching_synapse(
order=spoken_order, brain=br)
self.assertTrue(expected_matched_synapse_5 in matched_synapses)
