本文整理汇总了Python中sparkle.stim.stimulus_model.StimulusModel.componentDoc方法的典型用法代码示例。如果您正苦于以下问题：Python StimulusModel.componentDoc方法的具体用法？Python StimulusModel.componentDoc怎么用？Python StimulusModel.componentDoc使用的例子？那么恭喜您, 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.componentDoc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: SearchRunner
# 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 componentDoc [as 别名]
#.........这里部分代码省略.........
# stim_names = []
# for stim in self._explore_stimuli:
# stim_names.append(stim.name)
# return stim_names
def run(self, interval):
"""See :meth:`AbstractAcquisitionRunner<sparkle.run.abstract_acquisition.AbstractAcquisitionRunner.run>`"""
self._halt = False
# TODO: some error checking to make sure valid paramenters are set
if self.save_data:
# initize data set
self.current_dataset_name = self.set_name
self.datafile.init_data(self.current_dataset_name, self.aitimes.shape, mode='open')
self.set_name = increment_title(self.set_name)
# save the start time and set last tick to expired, so first
# acquisition loop iteration executes immediately
self.start_time = time.time()
self.last_tick = self.start_time - (interval/1000)
self.interval = interval
self.acq_thread = threading.Thread(target=self._worker)
# arm the first read
self.player.set_aochan(self.aochan)
self.player.set_aichan(self.aichan)
# make sure a signal is loaded
self.reset_stim()
# and go!
self.acq_thread.start()
return self.acq_thread
def _worker(self):
try:
spike_counts = []
spike_latencies = []
spike_rates = []
self.irep = 0
times = self.aitimes
# report inital stim
trace_doc = self._stimulus.componentDoc()
trace_doc['overloaded_attenuation'] = np.nan
self.putnotify('current_trace', (0,0,trace_doc))
# self.player.start_timer(self.reprate)
stim = self.player.start()
while not self._halt:
self.interval_wait()
response = self.player.run()
stamp = time.time()
self.putnotify('response_collected', (times, response, -1, -1, self.irep, {}))
if stim is not None:
self.putnotify('stim_generated', (stim, self.player.get_samplerate()))
trace_doc = self._stimulus.componentDoc()
trace_doc['overloaded_attenuation'] = np.nan
self.putnotify('current_trace', (0,0,trace_doc))
#lock it so we don't get a times mismatch
self.player_lock.acquire()
stim = self.player.reset()
times = self.aitimes
self.player_lock.release()
if self.save_data:
# save response data
self.save_to_file(response, stamp)
self.irep +=1
if self.irep == self.nreps:
self.irep = 0
self.player.stop()
# self.player.stop_timer()
if self.save_data:
self.datafile.trim(self.current_dataset_name)
except:
logger = logging.getLogger('main')
logger.exception("Uncaught Exception from Explore Thread:")
def save_to_file(self, data, stamp):
"""Saves data to current dataset.
:param data: data to save to file
:type data: numpy.ndarray
:param stamp: time stamp of when the data was acquired
:type stamp: str
"""
self.datafile.append(self.current_dataset_name, data)
# save stimulu info
info = dict(self._stimulus.componentDoc().items() + self._stimulus.testDoc().items())
print 'saving doc', info
info['time_stamps'] = [stamp]
info['samplerate_ad'] = self.player.aifs
self.datafile.append_trace_info(self.current_dataset_name, info)