def test_get_global_variable(self):
"""
Test the get_global_variable of the OrderAnalyser Class
"""
sentence = "i am {{name2}}"
variables = {
"name": "LaMonf",
"name2": "intelora",
"name3": u"kalliopé",
"name4": 1
}
st = Settings(variables=variables)
expected_result = "i am intelora"
self.assertEqual(BrainLoader._get_global_variable(sentence=sentence,
settings=st),
expected_result)
# test with accent
sentence = "i am {{name3}}"
expected_result = u"i am kalliopé"
self.assertEqual(BrainLoader._get_global_variable(sentence=sentence,
settings=st),
expected_result)
# test with int
sentence = "i am {{name4}}"
expected_result = "i am 1"
self.assertEqual(BrainLoader._get_global_variable(sentence=sentence,
settings=st),
expected_result)
def test_get_signals(self):
signals = [{'order': 'test_order'}]
signal = Signal(name="order", parameters="test_order")
bl = BrainLoader(file_path=self.brain_to_test)
signals_from_brain_loader = bl._get_signals(signals)
self.assertEqual([signal], signals_from_brain_loader)
def create_app(self):
"""
executed once at the beginning of the test
"""
# be sure that the singleton haven't been loaded before
Singleton._instances = {}
current_path = os.getcwd()
if "/tests" in os.getcwd():
full_path_brain_to_test = current_path + os.sep + "brains/brain_test_api.yml"
self.audio_file = "files/bonjour.wav"
else:
full_path_brain_to_test = current_path + os.sep + "tests/brains/brain_test_api.yml"
self.audio_file = "tests/files/bonjour.wav"
# rest api config
sl = SettingLoader()
sl.settings.rest_api.password_protected = False
sl.settings.active = True
sl.settings.port = 5000
sl.settings.allowed_cors_origin = "*"
sl.settings.default_synapse = None
sl.settings.hooks["on_order_not_found"] = "order-not-found-synapse"
# prepare a test brain
brain_to_test = full_path_brain_to_test
brain_loader = BrainLoader(file_path=brain_to_test)
brain = brain_loader.brain
self.app = Flask(__name__)
self.app.config['TESTING'] = True
self.flask_api = FlaskAPI(self.app, port=5000, brain=brain)
self.client = self.app.test_client()
return self.flask_api.app
def test_load_brain(self):
"""
Test the class return a valid brain object
"""
neuron = Neuron(name='say', parameters={'message': ['test message']})
neuron2 = Neuron(name='sleep', parameters={'seconds': 60})
signal1 = Signal(name="order", parameters="test_order")
signal2 = Signal(name="order", parameters="test_order_2")
signal3 = Signal(name="order", parameters="test_order_3")
signal4 = Signal(name="order", parameters="order_for_int")
synapse1 = Synapse(name="test", neurons=[neuron], signals=[signal1])
synapse2 = Synapse(name="test2", neurons=[neuron], signals=[signal2])
synapse3 = Synapse(name="test3", neurons=[neuron], signals=[signal3])
synapse4 = Synapse(name="testint", neurons=[neuron2], signals=[signal4])
synapses = [synapse1, synapse2, synapse4, synapse3]
brain = Brain()
brain.synapses = synapses
brain.brain_file = self.brain_to_test
brain.brain_yaml = self.expected_result
brain_loader = BrainLoader(file_path=self.brain_to_test)
self.assertEqual(brain, brain_loader.brain)
def test_process_synapse_list(self):
"""
Testing the neuron list from a synapse
"""
synapse = BrainLoader().brain.get_synapse_by_name("synapse1")
order = "enter in synapse 1"
matched_synapse = MatchedSynapse(matched_synapse=synapse,
user_order=order,
matched_order=order)
list_matched_synapse = list()
list_matched_synapse.append(matched_synapse)
with mock.patch("intelora.core.Lifo.LIFOBuffer._process_neuron_list"):
self.lifo_buffer._process_synapse_list(list_matched_synapse)
expected_response = {
'status':
None,
'matched_synapses': [{
'matched_order': 'enter in synapse 1',
'neuron_module_list': [],
'synapse_name': 'synapse1'
}],
'user_order':
None
}
self.assertEqual(expected_response,
self.lifo_buffer.api_response.serialize())
self.assertEqual(0, len(self.lifo_buffer.lifo_list))
def run_synapse_by_name(synapse_name,
user_order=None,
synapse_order=None,
high_priority=False,
is_api_call=False,
overriding_parameter_dict=None,
no_voice=False):
"""
call the lifo for adding a synapse to execute in the list of synapse list to process
:param synapse_name: The name of the synapse to run
:param user_order: The user order
:param synapse_order: The synapse order
:param high_priority: If True, the synapse is executed before the end of the current synapse list
:param is_api_call: If true, the current call comes from the api
:param overriding_parameter_dict: dict of value to add to neuron parameters
"""
synapse = BrainLoader().brain.get_synapse_by_name(synapse_name)
matched_synapse = MatchedSynapse(
matched_synapse=synapse,
matched_order=synapse_order,
user_order=user_order,
overriding_parameter=overriding_parameter_dict)
list_synapse_to_process = list()
list_synapse_to_process.append(matched_synapse)
# get the singleton
lifo_buffer = LifoManager.get_singleton_lifo()
lifo_buffer.add_synapse_list_to_lifo(list_synapse_to_process,
high_priority=high_priority)
lifo_buffer.execute(is_api_call=is_api_call, no_voice=no_voice)
def __init__(self, **kwargs):
super(SignalModule, self).__init__(**kwargs)
# get the child who called the class
self.signal_name = self.__class__.__name__
Utils.print_info('Init Signal :' + self.signal_name)
self.brain = BrainLoader().brain
def start_synapse_by_list_name(cls,
list_name,
brain=None,
overriding_parameter_dict=None,
new_lifo=False):
"""
Start synapses by their name
:param list_name: List of name of the synapse to launch
:param brain: Brain instance
:param overriding_parameter_dict: parameter to pass to neurons
:param new_lifo: If True, ask the LifoManager to return a new lifo and not the singleton
"""
logger.debug(
"[SynapseLauncher] start_synapse_by_list_name called with synapse list: %s "
% list_name)
if list_name:
if brain is None:
brain = BrainLoader().brain
# get all synapse object
list_synapse_object_to_start = list()
for name in list_name:
synapse_to_start = brain.get_synapse_by_name(synapse_name=name)
list_synapse_object_to_start.append(synapse_to_start)
# run the LIFO with all synapse
if new_lifo:
lifo_buffer = LifoManager.get_new_lifo()
else:
lifo_buffer = LifoManager.get_singleton_lifo()
list_synapse_to_process = list()
for synapse in list_synapse_object_to_start:
if synapse is not None:
new_matching_synapse = MatchedSynapse(
matched_synapse=synapse,
matched_order=None,
user_order=None,
overriding_parameter=overriding_parameter_dict)
list_synapse_to_process.append(new_matching_synapse)
lifo_buffer.add_synapse_list_to_lifo(list_synapse_to_process)
return lifo_buffer.execute(is_api_call=True)
return None
def run_synapse_by_name(synapse_name):
"""
This method will run the synapse
"""
Utils.print_info("[Event] triggered, running synapse: %s" %
synapse_name)
# get a brain
brain_loader = BrainLoader()
brain = brain_loader.brain
SynapseLauncher.start_synapse_by_name(synapse_name, brain=brain)
def test_process_neuron_list(self):
# Test with a neuron that doesn't wait for an answer
synapse = BrainLoader().brain.get_synapse_by_name("synapse5")
order = "synapse5"
matched_synapse = MatchedSynapse(matched_synapse=synapse,
user_order=order,
matched_order=order)
with mock.patch("intelora.core.TTS.TTSModule.generate_and_play"):
self.lifo_buffer.set_api_call(True)
self.lifo_buffer._process_neuron_list(
matched_synapse=matched_synapse)
self.assertEqual("complete", self.lifo_buffer.api_response.status)
# test with neuron that wait for an answer
LifoManager.clean_saved_lifo()
synapse = BrainLoader().brain.get_synapse_by_name("synapse6")
order = "synapse6"
matched_synapse = MatchedSynapse(matched_synapse=synapse,
user_order=order,
matched_order=order)
self.lifo_buffer.set_api_call(True)
with mock.patch("intelora.core.TTS.TTSModule.generate_and_play"):
with self.assertRaises(Serialize):
self.lifo_buffer._process_neuron_list(
matched_synapse=matched_synapse)
# test with a neuron that want to add a synapse list to the LIFO
LifoManager.clean_saved_lifo()
synapse = BrainLoader().brain.get_synapse_by_name("synapse6")
order = "synapse6"
matched_synapse = MatchedSynapse(matched_synapse=synapse,
user_order=order,
matched_order=order)
self.lifo_buffer.set_api_call(True)
self.lifo_buffer.set_answer("synapse 6 answer")
with mock.patch("intelora.core.TTS.TTSModule.generate_and_play"):
self.assertRaises(
SynapseListAddedToLIFO,
self.lifo_buffer._process_neuron_list(
matched_synapse=matched_synapse))
def test_get_neurons(self):
"""
Test to get neurons from the brainLoader
scenarii:
- 1/ get a simple neuron from the brainloader
- 2/ get a neuron with global variables as parameters
- 3/ get a neuron with int as parameters
"""
# 1/ get a simple neuron from the brainloader
st = Settings()
neuron_list = [{'say': {'message': ['test message']}}]
neuron = Neuron(name='say', parameters={'message': ['test message']})
bl = BrainLoader(file_path=self.brain_to_test)
neurons_from_brain_loader = bl._get_neurons(neuron_list,
settings=st)
self.assertEqual([neuron], neurons_from_brain_loader)
# 2/ get a neuron with global variables as parameters
neuron_list = [{'say': {'message': ['bonjour {{name}}']}}]
variables = {
"author": "Lamonf",
"test_number": 60,
"name": "intelora"
}
st = Settings(variables=variables)
bl = BrainLoader(file_path=self.brain_to_test)
neurons_from_brain_loader = bl._get_neurons(neuron_list,
settings=st)
neuron = Neuron(name='say', parameters={'message': ['bonjour intelora']})
self.assertEqual([neuron], neurons_from_brain_loader)
# 3/ get a neuron with int as parameters
st = Settings()
neuron_list = [{'sleep': {'seconds': 60}}]
neuron = Neuron(name='sleep', parameters={'seconds': 60})
bl = BrainLoader(file_path=self.brain_to_test)
neurons_from_brain_loader = bl._get_neurons(neuron_list,
settings=st)
self.assertEqual([neuron], neurons_from_brain_loader)
def start_synapse_by_name(cls,
name,
brain=None,
overriding_parameter_dict=None,
new_lifo=False):
"""
Start a synapse by it's name
:param name: Name (Unique ID) of the synapse to launch
:param brain: Brain instance
:param overriding_parameter_dict: parameter to pass to neurons
:param new_lifo: If True, ask the HookManager to return a new lifo and not the singleton
"""
logger.debug(
"[SynapseLauncher] start_synapse_by_name called with synapse name: %s "
% name)
if brain is None:
brain = BrainLoader().brain
# check if we have found and launched the synapse
synapse = brain.get_synapse_by_name(synapse_name=name)
if not synapse:
raise SynapseNameNotFound(
"The synapse name \"%s\" does not exist in the brain file" %
name)
else:
if new_lifo:
lifo_buffer = LifoManager.get_new_lifo()
else:
lifo_buffer = LifoManager.get_singleton_lifo()
list_synapse_to_process = list()
new_matching_synapse = MatchedSynapse(
matched_synapse=synapse,
matched_order=None,
user_order=None,
overriding_parameter=overriding_parameter_dict)
list_synapse_to_process.append(new_matching_synapse)
lifo_buffer.add_synapse_list_to_lifo(list_synapse_to_process)
return lifo_buffer.execute(is_api_call=True)
def __init__(self, **kwargs):
"""
Class used by neuron for talking
:param kwargs: Same parameter as the Child. Can contain info about the tts to use instead of the
default one
"""
# get the child who called the class
child_name = self.__class__.__name__
self.neuron_name = child_name
sl = SettingLoader()
self.settings = sl.settings
brain_loader = BrainLoader()
self.brain = brain_loader.brain
# a dict of overridden TTS parameters if provided by the user
self.override_tts_parameters = kwargs.get('tts', None)
# create the TTS instance
self.tts = None
if self.override_tts_parameters is None or not isinstance(
self.override_tts_parameters, dict):
# we get the default TTS
self.tts = self._get_tts_object(settings=self.settings)
else:
for key, value in self.override_tts_parameters.items():
tts_name = key
tts_parameters = value
self.tts = self._get_tts_object(
tts_name=tts_name,
override_parameter=tts_parameters,
settings=self.settings)
# get templates if provided
# Check if there is a template associate to the output message
self.say_template = kwargs.get('say_template', None)
# check if there is a template file associate to the output message
self.file_template = kwargs.get('file_template', None)
# keep the generated message
self.tts_message = None
# if the current call is api one
self.is_api_call = kwargs.get('is_api_call', False)
# if the current call want to mute intelora
self.no_voice = kwargs.get('no_voice', False)
# boolean to know id the synapse is waiting for an answer
self.is_waiting_for_answer = False
# the synapse name to add the the buffer
self.pending_synapse = None
# a dict of parameters the user ask to save in short term memory
self.intelora_memory = kwargs.get('intelora_memory', None)
# parameters loaded from the order can be save now
Cortex.save_parameter_from_order_in_memory(self.intelora_memory)
def test_add_synapse_list_to_lifo(self):
"""
Testing to add a synapse to the lifo
"""
synapse = BrainLoader().brain.get_synapse_by_name("synapse1")
order = "enter in synapse 1"
matched_synapse = MatchedSynapse(matched_synapse=synapse,
user_order=order,
matched_order=order)
list_matched_synapse = list()
list_matched_synapse.append(matched_synapse)
self.lifo_buffer.add_synapse_list_to_lifo(list_matched_synapse)
self.assertEqual(self.lifo_buffer.lifo_list, [list_matched_synapse])
def setUp(self):
# be sure the brain haven't been instantiated before
Singleton._instances = dict()
if "/tests" in os.getcwd():
self.brain_to_test = os.getcwd(
) + os.sep + "brains/lifo_buffer_test_brain.yml"
else:
self.brain_to_test = os.getcwd(
) + os.sep + "tests/brains/lifo_buffer_test_brain.yml"
BrainLoader(file_path=self.brain_to_test)
# create a new lifo buffer
self.lifo_buffer = LifoManager.get_singleton_lifo()
self.lifo_buffer.clean()
def test_clean(self):
"""
Test the Cleaning of the matched synapses list
"""
synapse = BrainLoader().brain.get_synapse_by_name("synapse1")
order = "enter in synapse 1"
matched_synapse = MatchedSynapse(matched_synapse=synapse,
user_order=order,
matched_order=order)
list_matched_synapse = list()
list_matched_synapse.append(matched_synapse)
self.lifo_buffer.add_synapse_list_to_lifo(list_matched_synapse)
self.lifo_buffer.clean()
self.assertEqual(0, len(self.lifo_buffer.lifo_list))
def run_synapse_by_name(self, synapse_name):
"""
Run a synapse by its name
test with curl:
curl -i --user admin:secret -X POST http://127.0.0.1:5000/synapses/start/id/say-hello-fr
run a synapse without making intelora speaking
curl -i -H "Content-Type: application/json" --user admin:secret -X POST \
-d '{"no_voice":"true"}' http://127.0.0.1:5000/synapses/start/id/say-hello-fr
Run a synapse by its name and pass order's parameters
curl -i -H "Content-Type: application/json" --user admin:secret -X POST \
-d '{"no_voice":"true", "parameters": {"parameter1": "value1" }}' \
http://127.0.0.1:5000/synapses/start/id/say-hello-fr
:param synapse_name: name(id) of the synapse to execute
:return:
"""
# get a synapse object from the name
logger.debug("[FlaskAPI] run_synapse_by_name: synapse name -> %s" % synapse_name)
synapse_target = BrainLoader().brain.get_synapse_by_name(synapse_name=synapse_name)
# get no_voice_flag if present
no_voice = self.get_boolean_flag_from_request(request, boolean_flag_to_find="no_voice")
# get parameters
parameters = self.get_parameters_from_request(request)
if synapse_target is None:
data = {
"synapse name not found": "%s" % synapse_name
}
return jsonify(error=data), 404
else:
# generate a MatchedSynapse from the synapse
matched_synapse = MatchedSynapse(matched_synapse=synapse_target, overriding_parameter=parameters)
# get the current LIFO buffer from the singleton
lifo_buffer = LifoManager.get_singleton_lifo()
# this is a new call we clean up the LIFO
lifo_buffer.clean()
lifo_buffer.add_synapse_list_to_lifo([matched_synapse])
response = lifo_buffer.execute(is_api_call=True, no_voice=no_voice)
data = jsonify(response)
return data, 201
def test_singleton(self):
bl1 = BrainLoader(file_path=self.brain_to_test)
bl2 = BrainLoader(file_path=self.brain_to_test)
self.assertTrue(bl1.brain is bl2.brain)
def test_execute(self):
"""
In this test the brain contains a neurotransmitter
"""
# --------------------------------------
# Test 1. The user answers correctly to all neurotransmitter
# --------------------------------------
# we suppose that the first synapse has matched the first synapse
synapse = BrainLoader().brain.get_synapse_by_name("synapse1")
order = "enter in synapse 1"
matched_synapse = MatchedSynapse(matched_synapse=synapse,
user_order=order,
matched_order=order)
list_matched_synapse = list()
list_matched_synapse.append(matched_synapse)
self.lifo_buffer.add_synapse_list_to_lifo(list_matched_synapse)
self.lifo_buffer.api_response.user_order = order
with mock.patch("intelora.core.TTS.TTSModule.generate_and_play"):
response = self.lifo_buffer.execute(is_api_call=True)
expected_result = {
'status':
'waiting_for_answer',
'matched_synapses': [{
'matched_order':
'enter in synapse 1',
'neuron_module_list': [{
'neuron_name':
'Say',
'generated_message':
'question in synapse 1'
}],
'synapse_name':
'synapse1'
}],
'user_order':
'enter in synapse 1'
}
self.assertEqual(response, expected_result)
# give an answer
answer = "answer synapse1"
response = self.lifo_buffer.execute(answer=answer,
is_api_call=True)
expected_result = {
'status':
'waiting_for_answer',
'matched_synapses': [{
'matched_order':
'enter in synapse 1',
'neuron_module_list': [{
'neuron_name':
'Say',
'generated_message':
'question in synapse 1'
}, {
'neuron_name': 'Neurotransmitter',
'generated_message': None
}],
'synapse_name':
'synapse1'
}, {
'matched_order':
'answer synapse1',
'neuron_module_list': [{
'neuron_name':
'Say',
'generated_message':
'enter synapse 2'
}],
'synapse_name':
'synapse2'
}],
'user_order':
None
}
self.assertEqual(response, expected_result)
# give the last answer
answer = "synapse5"
response = self.lifo_buffer.execute(answer=answer,
is_api_call=True)
expected_result = {
'status':
'complete',
'matched_synapses': [{
'matched_order':
'answer synapse1',
'neuron_module_list': [{
'neuron_name':
'Say',
'generated_message':
'enter synapse 2'
}, {
'neuron_name': 'Neurotransmitter',
'generated_message': None
}],
'synapse_name':
'synapse2'
}, {
'matched_order':
'synapse5',
'neuron_module_list': [{
'neuron_name':
'Say',
'generated_message':
'execution of synapse 5'
}],
'synapse_name':
'synapse5'
}, {
'matched_order':
'enter in synapse 1',
'neuron_module_list': [{
'neuron_name':
'Say',
'generated_message':
'question in synapse 1'
}, {
'neuron_name': 'Neurotransmitter',
'generated_message': None
}, {
'neuron_name':
'Say',
'generated_message':
'last neuron in synapse 1'
}],
'synapse_name':
'synapse1'
}],
'user_order':
None
}
self.assertEqual(response, expected_result)
# --------------------------------------
# Test 2. The user doesn't answered correctly to the first neurotransmitter
# --------------------------------------
# we suppose that the first synapse has matched the first synapse
synapse = BrainLoader().brain.get_synapse_by_name("synapse1")
order = "enter in synapse 1"
matched_synapse = MatchedSynapse(matched_synapse=synapse,
user_order=order,
matched_order=order)
list_matched_synapse = list()
list_matched_synapse.append(matched_synapse)
self.lifo_buffer.add_synapse_list_to_lifo(list_matched_synapse)
self.lifo_buffer.api_response.user_order = order
with mock.patch("intelora.core.TTS.TTSModule.generate_and_play"):
# fist call to enter in the neurotransmitter
self.lifo_buffer.execute(is_api_call=True)
wrong_answer = "wrong answer"
response = self.lifo_buffer.execute(answer=wrong_answer,
is_api_call=True)
expected_result = {
'status':
'complete',
'matched_synapses': [{
'matched_order':
'enter in synapse 1',
'neuron_module_list': [{
'neuron_name':
'Say',
'generated_message':
'question in synapse 1'
}, {
'neuron_name': 'Neurotransmitter',
'generated_message': None
}, {
'neuron_name':
'Say',
'generated_message':
'last neuron in synapse 1'
}],
'synapse_name':
'synapse1'
}, {
'matched_order':
None,
'neuron_module_list': [{
'neuron_name':
'Say',
'generated_message':
'not understood'
}],
'synapse_name':
'synapse4'
}],
'user_order':
None
}
self.assertEqual(response, expected_result)
# --------------------------------------
# Test 3. No synapse matched, we still execute the list
# --------------------------------------
list_matched_synapse = list()
self.lifo_buffer.add_synapse_list_to_lifo(list_matched_synapse)
self.lifo_buffer.api_response.user_order = "this is an order"
with mock.patch("intelora.core.TTS.TTSModule.generate_and_play"):
# fist call to enter in the neurotransmitter
response = self.lifo_buffer.execute(is_api_call=True)
expected_result = {
'status': None,
'matched_synapses': [],
'user_order': 'this is an order'
}
self.assertEqual(response, expected_result)
def test_replace_global_variables(self):
"""
Testing the _replace_global_variables function from the NeuronLauncher.
Scenarii:
- 1/ only one global variable
- 2/ global variable with string after
- 3/ global variable with int after
- 4/ multiple global variables
- 5/ parameter value is a list
- 6/ parameter is a dict
"""
# 1/ only one global variable
parameters = {
'var1': '{{hello}}'
}
variables = {
"hello": "test",
"hello2": "test2",
}
st = Settings(variables=variables)
expected_parameters = {
'var1': 'test'
}
self.assertEqual(BrainLoader._replace_global_variables(parameter=parameters,
settings=st),
expected_parameters,
"Fail to assign a single global variable to parameters")
# 2/ global variable with string after
parameters = {
'var1': '{{hello}} Sispheor'
}
variables = {
"hello": "test",
"hello2": "test2",
}
st = Settings(variables=variables)
expected_parameters = {
'var1': 'test Sispheor'
}
self.assertEqual(BrainLoader._replace_global_variables(parameter=parameters,
settings=st),
expected_parameters,
"Fail to assign a global variable with string after to parameters")
# 3/ global variable with int after
parameters = {
'var1': '{{hello}}0'
}
variables = {
"hello": 60,
"hello2": "test2",
}
st = Settings(variables=variables)
expected_parameters = {
'var1': '600'
}
self.assertEqual(BrainLoader._replace_global_variables(parameter=parameters,
settings=st),
expected_parameters,
"Fail to assign global variable with int after to parameters")
# 4/ multiple global variables
parameters = {
'var1': '{{hello}} {{me}}'
}
variables = {
"hello": "hello",
"me": "LaMonf"
}
st = Settings(variables=variables)
expected_parameters = {
'var1': 'hello LaMonf'
}
self.assertEqual(BrainLoader._replace_global_variables(parameter=parameters,
settings=st),
expected_parameters,
"Fail to assign multiple global variables to parameters")
# 5/ parameter value is a list
parameters = {
'var1': '[hello {{name}}, bonjour {{name}}]'
}
variables = {
"name": "LaMonf",
"hello2": "test2",
}
st = Settings(variables=variables)
expected_parameters = {
'var1': '[hello LaMonf, bonjour LaMonf]'
}
self.assertEqual(BrainLoader._replace_global_variables(parameter=parameters,
settings=st),
expected_parameters,
"Fail to assign a single global when parameter value is a list to neuron")
# 6/ parameter is a dict
parameters = {'from_answer_link': [{'synapse': 'synapse2', 'answers': ['absolument', '{{ name }}']},
{'synapse': 'synapse3', 'answers': ['{{ name }}']}], 'default': 'synapse4'}
variables = {
"name": "nico"
}
st = Settings(variables=variables)
expected_parameters = {
'from_answer_link': [
{'synapse': 'synapse2', 'answers': ['absolument', 'nico']},
{'synapse': 'synapse3', 'answers': ['nico']}], 'default': 'synapse4'
}
self.assertEqual(BrainLoader._replace_global_variables(parameter=parameters,
settings=st),
expected_parameters,
"Fail to assign a single global when parameter value is a list to neuron")
def test_get_yaml_config(self):
"""
Test we can get a yaml config from the path
"""
brain_loader = BrainLoader(file_path=self.brain_to_test)
self.assertEqual(brain_loader.yaml_config, self.expected_result)
