本文整理汇总了Python中sparkle.stim.stimulus_model.StimulusModel.setReorderFunc方法的典型用法代码示例。如果您正苦于以下问题：Python StimulusModel.setReorderFunc方法的具体用法？Python StimulusModel.setReorderFunc怎么用？Python StimulusModel.setReorderFunc使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类sparkle.stim.stimulus_model.StimulusModel的用法示例。
在下文中一共展示了StimulusModel.setReorderFunc方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: TestStimModel
# 需要导入模块: from sparkle.stim.stimulus_model import StimulusModel [as 别名]
# 或者: from sparkle.stim.stimulus_model.StimulusModel import setReorderFunc [as 别名]
#.........这里部分代码省略.........
assert atten0 == atten1
assert_equal(docs0[i], docs1[i])
assert clone.repCount() == self.model.repCount()
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()
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()
def test_template_tuning_curve(self):
tcf = TCFactory()
model = tcf.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)