本文整理匯總了Python中sparkle.stim.stimulus_model.StimulusModel.loadFromTemplate方法的典型用法代碼示例。如果您正苦於以下問題：Python StimulusModel.loadFromTemplate方法的具體用法？Python StimulusModel.loadFromTemplate怎麽用？Python StimulusModel.loadFromTemplate使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類sparkle.stim.stimulus_model.StimulusModel的用法示例。
在下文中一共展示了StimulusModel.loadFromTemplate方法的8個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: create
# 需要導入模塊: from sparkle.stim.stimulus_model import StimulusModel [as 別名]
# 或者: from sparkle.stim.stimulus_model.StimulusModel import loadFromTemplate [as 別名]
def create(self):
stim = StimulusModel()
# load saved settings into stimulus
fname = QtGui.QFileDialog.getOpenFileName(None, u"Load Stimulus from File",
self.save_folder, "Stimulus Settings (*.json)")
if fname:
with open(fname, 'r') as jf:
state = json.load(jf)
stim.loadFromTemplate(state, stim)
self._editor = get_stimulus_editor(stim.stimType())
else:
return None
return stim示例2: test_template_with_auto_params
# 需要導入模塊: from sparkle.stim.stimulus_model import StimulusModel [as 別名]
# 或者: from sparkle.stim.stimulus_model.StimulusModel import loadFromTemplate [as 別名]
def test_template_with_auto_params(self):
self.model.setRepCount(7)
component = PureTone()
component.setIntensity(34)
self.model.insertComponent(component, 0,0)
nsteps = self.add_auto_param(self.model)
template = self.model.templateDoc()
clone = StimulusModel.loadFromTemplate(template)
clone.setReferenceVoltage(100, 0.1)
signals0, docs0, ovld = self.model.expandedStim()
signals1, docs1, ovld = clone.expandedStim()
assert clone.stimid != self.model.stimid
assert len(signals0) == len(signals1)
for i in range(len(signals0)):
signal0, atten0 = signals0[i]
signal1, atten1 = signals1[i]
np.testing.assert_array_equal(signal0, signal1)
assert atten0 == atten1
assert_equal(docs0[i], docs1[i])
assert clone.repCount() == self.model.repCount()示例3: test_calibration_template
# 需要導入模塊: from sparkle.stim.stimulus_model import StimulusModel [as 別名]
# 或者: from sparkle.stim.stimulus_model.StimulusModel import loadFromTemplate [as 別名]
def test_calibration_template(self):
ccf = CCFactory()
model = ccf.create()
model.setReferenceVoltage(100, 0.1)
model.setRepCount(7)
template = model.templateDoc()
clone = StimulusModel.loadFromTemplate(template)
clone.setReferenceVoltage(100, 0.1)
signals0, docs0, ovld = model.expandedStim()
signals1, docs1, ovld = clone.expandedStim()
assert clone.stimid != model.stimid
assert len(signals0) == len(signals1)
assert clone.repCount() == model.repCount()
for i in range(len(signals0)):
print 'comparing signal', i
signal0, atten0 = signals0[i]
signal1, atten1 = signals1[i]
np.testing.assert_array_equal(signal0, signal1)
print 'atten0 {}, atten1 {}'.format(atten0, atten1)
assert atten0 == atten1
assert_equal(docs0[i], docs1[i])示例4: test_protocol_timing_vocal_batlab
# 需要導入模塊: from sparkle.stim.stimulus_model import StimulusModel [as 別名]
# 或者: from sparkle.stim.stimulus_model.StimulusModel import loadFromTemplate [as 別名]
def test_protocol_timing_vocal_batlab(self):
winsz = 0.280 #seconds
acq_rate = 100000
nreps = 4
manager, fname = self.create_acqmodel(winsz, acq_rate)
with open(sample.batlabvocal(), 'r') as jf:
state = json.load(jf)
stim_model = StimulusModel.loadFromTemplate(state)
manager.protocol_model().insert(stim_model,0)
interval = 333
manager.setup_protocol(interval)
t = manager.run_protocol()
t.join()
manager.close_data()
# now check saved data
hfile = h5py.File(os.path.join(self.tempfolder, fname))
test = hfile['segment_1']['test_1']
stims = json.loads(test.attrs['stim'])
hfile.close()
# aggregate all time intervals
intervals = []
for stim in stims:
intervals.extend(stim['time_stamps'])
intervals = np.diff(intervals)
intervals = abs(intervals*1000 - interval)
print 'all intervals', intervals.shape, intervals
# ms tolerance, not as good as I would like
assert all(map(lambda x: x < 20, intervals))示例5: loadFromTemplate
# 需要導入模塊: from sparkle.stim.stimulus_model import StimulusModel [as 別名]
# 或者: from sparkle.stim.stimulus_model.StimulusModel import loadFromTemplate [as 別名]
def loadFromTemplate(template, stim=None):
"""Initialized this stimulus from a saved *template*
:param template: doc from a previously stored stimulus via :class:`templateDoc`
:type template: dict
"""
stim = StimulusModel.loadFromTemplate(template, stim=stim)
qstim = QStimulusModel(stim)
qstim.setEditor(template['testtype'])
return qstim示例6: test_template_with_auto_params_vocal
# 需要導入模塊: from sparkle.stim.stimulus_model import StimulusModel [as 別名]
# 或者: from sparkle.stim.stimulus_model.StimulusModel import loadFromTemplate [as 別名]
def test_template_with_auto_params_vocal(self):
model = self.stim_with_double_auto()
template = model.templateDoc()
clone = StimulusModel.loadFromTemplate(template)
clone.setReferenceVoltage(100, 0.1)
signals0, docs0, ovld = model.expandedStim()
signals1, docs1, ovld = clone.expandedStim()
assert clone.stimid != model.stimid
assert len(signals0) == len(signals1)
for i in range(len(signals0)):
signal0, atten0 = signals0[i]
signal1, atten1 = signals1[i]
np.testing.assert_array_equal(signal0, signal1)
assert atten0 == atten1
assert_equal(docs0[i], docs1[i])
assert clone.repCount() == model.repCount()示例7: test_template_no_auto_params
# 需要導入模塊: from sparkle.stim.stimulus_model import StimulusModel [as 別名]
# 或者: from sparkle.stim.stimulus_model.StimulusModel import loadFromTemplate [as 別名]
def test_template_no_auto_params(self):
self.model.setRepCount(7)
component = PureTone()
component.setIntensity(34)
self.model.insertComponent(component, 0,0)
vocal = Vocalization()
vocal.setFile(sample.samplewav())
self.model.insertComponent(vocal, 1,0)
template = self.model.templateDoc()
clone = StimulusModel.loadFromTemplate(template)
clone.setReferenceVoltage(100, 0.1)
signal0, atten0, ovld = clone.signal()
signal1, atten1, ovld = self.model.signal()
assert clone.stimid != self.model.stimid
np.testing.assert_array_equal(signal0, signal1)
assert atten0 == atten1
assert clone.repCount() == self.model.repCount()示例8: test_template_with_auto_params_randomized
# 需要導入模塊: from sparkle.stim.stimulus_model import StimulusModel [as 別名]
# 或者: from sparkle.stim.stimulus_model.StimulusModel import loadFromTemplate [as 別名]
def test_template_with_auto_params_randomized(self):
self.model.setRepCount(7)
component = PureTone()
component.setIntensity(34)
self.model.insertComponent(component, 0,0)
nsteps = self.add_auto_param(self.model)
self.model.setReorderFunc(order_function('random'), 'random')
template = self.model.templateDoc()
clone = StimulusModel.loadFromTemplate(template)
clone.setReferenceVoltage(100, 0.1)
signals0, docs0, ovld = self.model.expandedStim()
signals1, docs1, ovld = clone.expandedStim()
assert clone.stimid != self.model.stimid
assert len(signals0) == len(signals1)
assert clone.reorderName == self.model.reorderName
# how to check if signal sets are the same?
assert clone.repCount() == self.model.repCount()