def test_create_figs(self):
create_figs(
self.setup,
self.file_name_figs,
self.d,
self.models)
pylab.show()
def main(rand_nodes=False,
script_name= __file__.split('/')[-1][0:-3],
from_disk=0):
k=get_kwargs_builder()
dinfo, dn = get_setup(**{'rand_nodes':rand_nodes})
dn=modify(dn)
ds = get_storages(script_name, dn.keys(), dinfo)
dstim={}
dstim ['IV']=map(float, range(-300,300,100)) #curr
dstim ['IF']=map(float, range(0,500,100)) #curr
dstim ['FF']=map(float, range(0,1500,100)) #rate
d={}
d.update(run_XX('IV', dn, [from_disk]*4, ds, dstim))
d.update(run_XX('IF', dn, [from_disk]*4, ds, dstim))
d.update(run_XX('FF', dn, [from_disk]*4, ds, dstim))
d.update(optimize('opt_rate', dn, [from_disk]*1, ds, **{ 'x0':200.0}))
set_optimization_val(d['opt_rate']['Net_0'], dn['hist'])
d.update(run('hist', dn, [from_disk]*2, ds, 'mean_rates',
**{'t_start':k['start_rec']}))
fig, axs=pl.get_figure(n_rows=2, n_cols=2, w=1000.0, h=800.0, fontsize=16)
show(dstim, d, axs, NAMES)
ds['fig'].save_fig(fig)
if not os.environ.get('DISPLAY'): pylab.show()
def test_create_figs(self):
create_figs(self.file_name_figs,
self.from_disks,
self.d,
self.models,
self.setup)
pylab.show()
def main(rand_nodes=False,
script_name=__file__.split('/')[-1][0:-3],
from_disk=1):
k = get_kwargs_builder()
dinfo, dn = get_setup(**{'rand_nodes': rand_nodes})
# dinfo, dn = get_setup()
ds = get_storages(script_name, dn.keys(), dinfo)
d = {}
d.update(optimize('opt_rate', dn, [from_disk] * 5, ds, **{'x0': 200.0}))
for key in sorted(dn['hist'].keys()):
net = dn['hist'][key]
set_optimization_val(d['opt_rate'][net.get_name()], [net])
d.update(
run('hist', dn, [from_disk] * 5, ds, 'mean_rates',
**{'t_start': k['start_rec']}))
fig, axs = pl.get_figure(n_rows=1,
n_cols=1,
w=1000.0,
h=800.0,
fontsize=16)
show_opt_hist(d, axs, '$GPe_{+d}^{TA}$')
ds['fig'].save_fig(fig)
if DISPLAY: pylab.show()