def send_nest_params_to_sli(p):
'''
Read parameters and send them to SLI
'''
for name in list(p.keys()):
value = p[name]
if type(value) == numpy.ndarray:
value = value.tolist()
if type(value) == dict:
value = dict_of_numpyarray_to_dict_of_list(value)
if name == 'neuron_model': # special case as neuron_model should is a NEST model and not a string
try:
nest.sli_run('/' + name)
nest.sli_push(value)
nest.sli_run('eval')
nest.sli_run('def')
except:
print('Could not put variable %s on SLI stack' % (name))
print(type(value))
else:
try:
nest.sli_run('/' + name)
nest.sli_push(value)
nest.sli_run('def')
except:
print('Could not put variable %s on SLI stack' % (name))
print(type(value))
return
def test_libcsa_cgnext(self):
"""cgnext"""
nest.ResetKernel()
w = 10000.0
d = 1.0
cs = libcsa.cset(libcsa.oneToOne, w, d)
nest.sli_push(cs)
nest.sli_run('dup')
nest.sli_push(numpy.array([0, 1, 2, 3]))
nest.sli_push(numpy.array([0, 1, 2, 3]))
nest.sli_run('cgsetmask')
nest.sli_run('dup')
nest.sli_run('cgstart')
for i in range(4):
nest.sli_run('dup')
nest.sli_run('cgnext')
self.assertEqual(nest.sli_pop(), True)
self.assertEqual(nest.sli_pop(), d)
self.assertEqual(nest.sli_pop(), w)
self.assertEqual(nest.sli_pop(), i)
self.assertEqual(nest.sli_pop(), i)
nest.sli_run('cgnext')
self.assertEqual(nest.sli_pop(), False)
def test_libcsa_cgnext(self):
"""cgnext"""
nest.ResetKernel()
w = 10000.0
d = 1.0
cs = libcsa.cset(libcsa.oneToOne, w, d)
nest.sli_push(cs)
nest.sli_run('dup')
nest.sli_push(numpy.array([0, 1, 2, 3]))
nest.sli_push(numpy.array([0, 1, 2, 3]))
nest.sli_run('cgsetmask')
nest.sli_run('dup')
nest.sli_run('cgstart')
for i in range(4):
nest.sli_run('dup')
nest.sli_run('cgnext')
self.assertEqual(nest.sli_pop(), True)
self.assertEqual(nest.sli_pop(), d)
self.assertEqual(nest.sli_pop(), w)
self.assertEqual(nest.sli_pop(), i)
self.assertEqual(nest.sli_pop(), i)
nest.sli_run('cgnext')
self.assertEqual(nest.sli_pop(), False)
def send_nest_params_to_sli(p):
'''
Read parameters and send them to SLI
Parameters
----------
p : dict
sli parameter name and value as dictionary key and value pairs
Returns
-------
None
'''
for name in p.keys():
value = p[name]
if type(value) == np.ndarray:
value = value.tolist()
if type(value) == dict:
value = dict_of_numpyarray_to_dict_of_list(value)
if name == 'neuron_model': # special case as neuron_model is a
# NEST model and not a string
try:
nest.sli_run('/'+name)
nest.sli_push(value)
nest.sli_run('eval')
nest.sli_run('def')
except:
print 'Could not put variable %s on SLI stack' % (name)
print type(value)
else:
try:
nest.sli_run('/'+name)
nest.sli_push(value)
nest.sli_run('def')
except:
print 'Could not put variable %s on SLI stack' % (name)
print type(value)
return
def send_nest_params_to_sli(p):
'''
Read parameters and send them to SLI
Parameters
----------
p : dict
sli parameter name and value as dictionary key and value pairs
Returns
-------
None
'''
for name in p.keys():
value = p[name]
if type(value) == np.ndarray:
value = value.tolist()
if type(value) == dict:
value = dict_of_numpyarray_to_dict_of_list(value)
if name == 'neuron_model': # special case as neuron_model is a
# NEST model and not a string
try:
nest.sli_run('/' + name)
nest.sli_push(value)
nest.sli_run('eval')
nest.sli_run('def')
except:
print 'Could not put variable %s on SLI stack' % (name)
print type(value)
else:
try:
nest.sli_run('/' + name)
nest.sli_push(value)
nest.sli_run('def')
except:
print 'Could not put variable %s on SLI stack' % (name)
print type(value)
return
def LambertWm1(x):
nest.sli_push(x)
nest.sli_run('LambertWm1')
y = nest.sli_pop()
return y
def LambertWm1(x):
nest.sli_push(x); nest.sli_run('LambertWm1'); y=nest.sli_pop()
return y
def leave_on_stack():
nest.sli_push(1)
def leave_on_stack():
nest.sli_push(1)