def test_proto_and_arky_fit(npz1, npz2, fit_num):
create_npz_param(npz1, model='gp', neuron_type='proto', fitnum=fit_num)
create_npz_param(npz2,
model='gp',
neuron_type='arky',
fitnum=fit_num,
cond_file='param_cond_proto144_proto_10.py')
def persist_cond_param(object_type, model, neuron_type, **kwargs):
if object_type == "fit":
pass
elif object_type == "npz":
npz_file = kwargs.get('npz_file') if kwargs.get('npz_file') else raise ValueError('npz_file needed!!!')
create_npz_param(npz_file, model, neuron_type, store_param_path=kwargs.get('store_param_path'),
fitnum=kwargs.get('fitnum'), cond_file= kwargs.get('cond_file'))
else:
raise ValueError("Object_type must be 'fit' or 'npz' with valid parameters!")
def test_proto_and_arky(npz1, npz2):
create_npz_param(npz1, model='gp', neuron_type='proto')
create_npz_param(npz2,
model='gp',
neuron_type='arky',
cond_file='param_cond_proto144_proto_1954.py')
def test_proto_only(npz1):
create_npz_param(npz1, model='gp', neuron_type='proto')
def test_proto_and_arky(fit_num):
npz1 = "/home/ram/neural_prj/prof_resources/parameters_fit_to_param_cond/fitFgp-proto-proto144.npz"
npz2 = "/home/ram/neural_prj/prof_resources/parameters_fit_to_param_cond/fitgp-arky-arky120F.npz"
create_npz_param(npz1, model='gp', neuron_type='proto', fitnum = fit_num)
create_npz_param(npz2, model='gp', neuron_type='arky', cond_file= 'param_cond_proto144_proto_1954.py')
def test_proto_only(): npz1 = "/home/ram/neural_prj/prof_resources/parameters_fit_to_param_cond/fitFgp-proto-proto144.npz" create_npz_param(npz1, model='gp', neuron_type='proto')
#!/usr/bin/env python3 import logging from ajustador.helpers.loggingsystem import getlogger from ajustador.helpers.save_param.create_npz_param import create_npz_param logger = getlogger(__name__) logger.setLevel(logging.INFO) npz1 = "/home/ram/neural_prj/prof_resources/parameters_fit_to_param_cond/fitFgp-proto-proto144.npz" npz2 = "/home/ram/neural_prj/prof_resources/parameters_fit_to_param_cond/fitd1d2-D1-D1_010612_pas3.npz" npz3 = "/home/ram/neural_prj/prof_resources/parameters_fit_to_param_cond/fitgp-arky-arky120F.npz" store_param_path = "/home/ram/neural_prj/outputs/parameter_sets" ### Test run ### create_npz_param(npz2, model='d1d2', neuron_type='D1') create_npz_param(npz1, model='gp', neuron_type='proto') create_npz_param(npz2, model='d1d2', neuron_type='D1', store_param_path=store_param_path) create_npz_param(npz1, model='gp', neuron_type='proto', fitnum=10, store_param_path=store_param_path) create_npz_param(npz3, model='gp', neuron_type='arky', cond_file= 'param_cond_proto_1954.py') create_npz_param(npz3, model='gp', neuron_type='arky',fitnum = 20, cond_file= 'param_cond_proto_1954_arky_1585.py') create_npz_param(npz1, model='gp', neuron_type='proto',fitnum = 55, cond_file= 'param_cond_proto_1954_arky_1585.py')