def get_tests():
# get neuronunit tests
# and select out the tests that are more about waveform shape
# and less about electrophysiology of the membrane.
# We are more interested in phenomonogical properties.
electro_path = str(os.getcwd()) + '/pipe_tests.p'
assert os.path.isfile(electro_path) == True
with open(electro_path, 'rb') as f:
electro_tests = pickle.load(f)
electro_tests = get_neab.replace_zero_std(electro_tests)
electro_tests = get_neab.substitute_parallel_for_serial(electro_tests)
test, observation = electro_tests[0]
tests = copy.copy(electro_tests[0][0])
tests_ = []
tests_ += [tests[0]]
tests_ += tests[4:7]
return tests_, test, observation
#ca1_pyr = { 'nlex_id':'830368389'}
ca1_pyr = {
"id": 85,
"name": "Hippocampus CA1 pyramidal cell",
"neuron_db_id": 258,
"nlex_id": "sao830368389"
}
pipe = [fi_basket, olf_mitral, ca1_pyr, purkinje]
electro_path = 'pipe_tests.p'
try:
assert os.path.isfile(electro_path) == True
with open(electro_path, 'rb') as f:
electro_tests = pickle.load(f)
electro_tests = get_neab.replace_zero_std(electro_tests)
electro_tests = get_neab.substitute_parallel_for_serial(electro_tests)
except:
electro_tests = []
for p in pipe:
p_tests, p_observations = get_neab.get_neuron_criteria(p)
electro_tests.append((p_tests, p_observations))
electro_tests = get_neab.replace_zero_std(electro_tests)
electro_tests = get_neab.substitute_parallel_for_serial(electro_tests)
with open('pipe_tests.p', 'wb') as f:
pickle.dump(electro_tests, f)
#MU = 4; NGEN = 3; CXPB = 0.9
USE_CACHED_GA = False
