def test_clone_nodes_copies_gate_params(fixed_nodenet):
nodenet = micropsi.get_nodenet(fixed_nodenet)
micropsi.set_gate_parameters(fixed_nodenet, 'n0001', 'gen', {'maximum': 0.1})
success, result = micropsi.clone_nodes(fixed_nodenet, ['n0001'], 'internal')
assert success
copy = nodenet.get_node(result['nodes'][0]['uid'])
assert round(copy.get_gate_parameters()['gen']['maximum'], 2) == 0.1
def test_clone_nodes_copies_gate_params(fixed_nodenet):
nodenet = micropsi.get_nodenet(fixed_nodenet)
micropsi.set_gate_parameters(fixed_nodenet, 'A1', 'gen', {'decay': 0.1})
success, result = micropsi.clone_nodes(fixed_nodenet, ['A1'], 'internal')
assert success
copy = nodenet.get_node(result['nodes'][0]['uid'])
assert copy.get_gate_parameters()['gen']['decay'] == 0.1
def test_non_standard_gate_defaults(fixed_nodenet):
nodenet = micropsi.nodenets[fixed_nodenet]
micropsi.add_node(fixed_nodenet, 'Trigger', [30, 30], uid='testtrigger', name='test')
node = nodenet.netapi.get_node('testtrigger')
params = node.get_gate_parameters()
genparams = params['gen']
genparams['maximum'] = 1
micropsi.set_gate_parameters(nodenet.uid, node.uid, 'gen', genparams)
assert node.clone_non_default_gate_parameters()['gen']['maximum'] == 1
def test_clone_nodes_copies_gate_params(fixed_nodenet):
nodenet = micropsi.get_nodenet(fixed_nodenet)
micropsi.set_gate_parameters(fixed_nodenet, 'n0001', 'gen',
{'maximum': 0.1})
success, result = micropsi.clone_nodes(fixed_nodenet, ['n0001'],
'internal')
assert success
copy = nodenet.get_node(list(result.keys())[0])
assert round(copy.get_gate_parameters()['gen']['maximum'], 2) == 0.1
def test_nodenet_data_gate_parameters(fixed_nodenet):
from micropsi_core.nodenet.node import Nodetype
data = micropsi.nodenets[fixed_nodenet].data
assert data['nodes']['n0005']['gate_parameters'] == {}
micropsi.set_gate_parameters(fixed_nodenet, 'n0005', 'gen', {'threshold': 1})
data = micropsi.nodenets[fixed_nodenet].data
assert data['nodes']['n0005']['gate_parameters'] == {'gen': {'threshold': 1}}
defaults = Nodetype.GATE_DEFAULTS.copy()
defaults.update({'threshold': 1})
data = micropsi.nodenets[fixed_nodenet].get_node('n0005').data['gate_parameters']
assert data == {'gen': {'threshold': 1}}
def test_non_standard_gate_defaults(fixed_nodenet):
nodenet = micropsi.nodenets[fixed_nodenet]
res, uid = micropsi.add_node(fixed_nodenet, 'Register', [30, 30], name='test')
node = nodenet.netapi.get_node(uid)
genparams = {'maximum': 0.5}
micropsi.set_gate_parameters(nodenet.uid, node.uid, 'gen', genparams)
assert node.clone_non_default_gate_parameters()['gen']['maximum'] == 0.5
assert node.data['gate_parameters'] == {'gen': {'maximum': 0.5}}
assert nodenet.data['nodes'][uid]['gate_parameters'] == {'gen': {'maximum': 0.5}}
data = micropsi.get_nodenet_data(fixed_nodenet, None, step=-1, include_links=False)
assert data['nodes'][uid]['gate_parameters'] == {'gen': {'maximum': 0.5}}
def test_nodenet_data_gate_parameters(fixed_nodenet):
from micropsi_core.nodenet.node import Nodetype
data = micropsi.nodenets[fixed_nodenet].get_data()
assert data['nodes']['n0005']['gate_parameters'] == {}
micropsi.set_gate_parameters(fixed_nodenet, 'n0005', 'gen',
{'threshold': 1})
data = micropsi.nodenets[fixed_nodenet].get_data()
assert data['nodes']['n0005']['gate_parameters'] == {
'gen': {
'threshold': 1
}
}
defaults = Nodetype.GATE_DEFAULTS.copy()
defaults.update({'threshold': 1})
data = micropsi.nodenets[fixed_nodenet].get_node(
'n0005').get_data()['gate_parameters']
assert data == {'gen': {'threshold': 1}}
def set_gate_parameters(nodenet_uid, node_uid, gate_type, parameters):
return runtime.set_gate_parameters(nodenet_uid, node_uid, gate_type, parameters)