def click_traces(self, x, y): t, V_j = self.traces.computeTraces(self.system.load_initial_condition(x, y)) V_j = np.transpose(V_j) ti, d = tl.phase_difference(V_j, V_trigger=type(self).V_trigger) last = d[-1, :] tl.plot_phase_2D(d[:, 0], d[:, 1], axes=self.ax_traces, color=tl.clmap(tl.PI2*last[1], tl.PI2*last[0]), PI=0.5, arrows=self.PLOT_ARROWS) self.fig.canvas.draw()
def phase_trace_cpu(self, i, X):
V_i = np.transpose(
type(self).model.integrate_three_rk4(
X[i, :], self.network.coupling_strength,
self.dt / float(self.stride), self.N_output, self.stride))
ti, d = tl.phase_difference(V_i, V_trigger=type(self).V_trigger)
return d
def phaseTrace_cpu(self, i, X):
V_i = np.transpose(
model.integrate_four_rk4(X[i, :], self.network.get_coupling(),
self.dt / float(self.stride),
self.N_output, self.stride))
ti, d = tl.phase_difference(V_i, V_trigger=torus.V_trigger)
return d
def phaseTrace_cpu(self, i, X): V_i = np.transpose( model.integrate_four_rk4( X[i, :], self.network.get_coupling(), self.dt/float(self.stride), self.N_output, self.stride)) ti, d = tl.phase_difference(V_i, V_trigger=torus.V_trigger) return d
def phase_trace_cpu(self, i, X): V_i = np.transpose( type(self).model.integrate_three_rk4( X[i, :], self.network.coupling_strength, self.dt/float(self.stride), self.N_output, self.stride)) ti, d = tl.phase_difference(V_i, V_trigger=type(self).V_trigger) return d
def refine_attractor(initial_condition): t, V_j = self.traces.computeTraces(initial_condition, plotit=False) V_j = np.transpose(V_j) ti, trajectory = tl.phase_difference(V_j, V_trigger=type(self).V_trigger) try: new_attr = att.attractor(trajectory).classify() return new_attr except: return att.attractor( [[0., 0.]], initial_state=[0., 0.] ).classify()
def click_traces(self, x, y):
t, V_j = self.traces.compute_traces(
self.system.load_initial_condition(x, y))
V_j = np.transpose(V_j)
ti, d = tl.phase_difference(V_j, V_trigger=type(self).V_trigger)
last = d[-1, :]
tl.plot_phase_2D(d[:, 0],
d[:, 1],
axes=self.ax_traces,
c=tl.clmap(tl.PI2 * last[1], tl.PI2 * last[0]),
PI=0.5)
#tl.plot_phase_2D(d[:, 0], d[:, 1], axes=self.ax_traces, c=tl.clmap_patterns(last[1], last[0]), PI=0.5)
self.fig.canvas.draw()
def refine_attractor(initial_condition):
t, V_j = self.traces.computeTraces(initial_condition, plotit=False)
V_j = np.transpose(V_j)
ti, trajectory = tl.phase_difference(
V_j, V_trigger=type(self).V_trigger)
try:
new_attr = att.attractor(trajectory).classify()
return new_attr
except:
return att.attractor([[0., 0.]],
initial_state=[0., 0.]).classify()
def click_torus(self, event): if event.button == 1: return x, y, z = self.ax.guess_coord(event.xdata, event.ydata) for z in np.arange(0., 1., 1./float(self.GRID)) + 1./float(2*self.GRID): t, V_j = self.traces.compute_traces(self.system.load_initial_condition(x, y, z)) V_j = np.transpose(V_j) ti, d = tl.phase_difference(V_j, V_trigger=torus.V_trigger) last = d[-1, :] tl.plot_phase_3D(d[:, 0], d[:, 1], d[:, 2], self.ax, c=tl.clmap_patterns(last[1], last[0]), PI=0.5) self.fig.canvas.draw()
def phase_trace_gpu(self, i, V): ti, d = tl.phase_difference(V[i, :, :], V_trigger=type(self).V_trigger) return d
def phase_trace_gpu(i, V): ti, d = tl.phase_difference(V[i, :, :], V_trigger=torus.V_trigger) return d
def phase_trace_gpu(self, i, V):
ti, d = tl.phase_difference(V[i, :, :], V_trigger=type(self).V_trigger)
return d