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 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)