def __init__(self):
T1O8 = Trial("T1O8", Data.T1O8())
T2O1 = Trial("T2O1", Data.T2O1())
T3O6 = Trial("T3O6", Data.T3O6())
T4O3 = Trial("T4O3", Data.T4O3())
T5O5 = Trial("T5O5", Data.T5O5())
T6O2 = Trial("T6O2", Data.T6O2())
T7O4 = Trial("T7O4", Data.T7O4())
T8O9 = Trial("T8O9", Data.T8O9())
T9O7 = Trial("T9O7", Data.T9O7())
T10O10 = Trial("T10O10", Data.T10O10())
self._data = [T1O8.data(), T2O1.data(), T3O6.data(), T4O3.data(), T5O5.data(), T6O2.data(), T7O4.data(), T8O9.data(), T9O7.data(), T10O10.data()]
self._trial_list = [T1O8, T2O1, T3O6, T4O3, T5O5, T6O2, T7O4, T8O9, T9O7, T10O10]
self._nmb_odors = 10
self._nmb_data_per_trial = 1000
self._nmb_trials = 10
return "low"
def set_total_spikes(self, sum):
self._total_spikes = sum
def get_total_spikes(self):
return self._total_spikes
T1O8 = Trial("T1O8", Data.T1O8())
T2O1 = Trial("T2O1", Data.T2O1())
T3O6 = Trial("T3O6", Data.T3O6())
T4O3 = Trial("T4O3", Data.T4O3())
T5O5 = Trial("T5O5", Data.T5O5())
T6O2 = Trial("T6O2", Data.T6O2())
T7O4 = Trial("T7O4", Data.T7O4())
T8O9 = Trial("T8O9", Data.T8O9())
T9O7 = Trial("T9O7", Data.T9O7())
T10O10 = Trial("T10O10", Data.T10O10())
data = [T1O8.data(), T2O1.data(), T3O6.data(), T4O3.data(), T5O5.data(), T6O2.data(), T7O4.data(), T8O9.data(), T9O7.data(), T10O10.data()]
trial_list = [T1O8, T2O1, T3O6, T4O3, T5O5, T6O2, T7O4, T8O9, T9O7, T10O10]
def trial_matrix(trial_list):
array = [[] for i in range(nmb_trials)]
c = 0
for trial in trial_list:
for i in range(nmb_trials):
if trial.odor() == i+1:
array[c].append(1)
else: