def interd_quiet_grids():
graphs.GRAPH_OUTPUT_FORMAT = 'png'
def init_simwrap():
sim = SimWrap(ctrl, p, cdict, pdict);
sim.set_all_nodisp()
sim.TO_show_clusters = False
sim.ctrl.saveall = False
return sim
def graph_mods():
ax.set_xlabel('Meters')
ax.set_ylabel('Meters')
ax.set_aspect('equal')
# Random grid
graphs.change_fontsize(graphs.FONTSIZE + 2)
ctrl, p, cdict, pdict = dec_grids()
ctrl.quiet_selection = 'random'
ctrl.quiet_nodes = ctrl.nodecount - 5
ctrl.steps = 1
sim = init_simwrap()
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
sim.simulate()
ax = graphs.spatial_grid(ctrl, unit='m', s=12, show_broadcast=True)
graph_mods()
graphs.save('interd_grid_random')
graphs.show()
# cluster grid
ctrl, p, cdict, pdict = dec_grids()
ctrl.quiet_selection = 'kmeans'
ctrl.quiet_nodes = ctrl.nodecount - 5
ctrl.steps = 1
sim = init_simwrap()
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
sim.simulate()
ax = graphs.spatial_grid(ctrl, unit='m', s=12, show_broadcast=True)
graph_mods()
graphs.save('interd_grid_kmeans')
graphs.show()
# sensing grid
ctrl, p, cdict, pdict = dec_grids()
ctrl.quiet_selection = 'contention'
ctrl.steps = 40
sim = SimWrap(ctrl, p, cdict, pdict);
sim.TO_show_clusters = False
sim.ctrl.saveall = False
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
sim.simulate()
ax = graphs.spatial_grid(ctrl, unit='m', s=12, show_broadcast=True)
graph_mods()
graphs.save('interd_grid_sensing')
graphs.show()
def sample_theta():
"""Sample N=20 theta evolution"""
ctrl, p, cdict, pdict = dec_regimes()
sim = SimWrap(ctrl, p, cdict, pdict)
sim.ctrl.keep_intermediate_values = True
sim.show_CFO = False
sim.set_all_nodisp()
sim.show_TO = False
sim.simulate()
ax, _ = sim.post_sim_plots(save_TO='', save_CFO='')
def init_simwrap():
sim = SimWrap(ctrl, p, cdict, pdict);
sim.set_all_nodisp()
sim.TO_show_clusters = False
sim.ctrl.saveall = False
return sim
def interd_compare_r12():
graphs.change_fontsize(graphs.FONTSIZE + 2)
ctrl, p, cdict, pdict = dec_dpll()
sim = SimWrap(ctrl, p, cdict, pdict)
sim.TO_show_clusters = False
sim.ctrl.saveall = False
sim.simulate()
sim.post_sim_plots(save_TO='dpll_theta_evol')
ctrl, p, cdict, pdict = dec_r12()
sim = SimWrap(ctrl, p, cdict, pdict)
sim.TO_show_clusters = False
sim.ctrl.saveall = False
sim.simulate()
sim.post_sim_plots(save_TO='r12_theta_evol')
def highlited_regimes():
"""Highlights the converging vs the drift regime"""
compare_fontsize = 15
compare_aspect=12
props = dict(boxstyle='round', facecolor='wheat', alpha=0.5)
fontsize_tmp = graphs.FONTSIZE
def run_hair_graph(aspect='auto'):
hair_kwargs = {'y_label':r'$\theta_i$ $(T_0)$', 'show_clusters':False, 'savename':''}
hair_args = (
(ctrl.sample_inter , ctrl.theta_inter, ctrl),
hair_kwargs,
)
ax = graphs.hair(*hair_args[0], **hair_args[1])
ax.set_aspect(aspect)
return ax
# DRIFT REGIME
graphs.change_fontsize(compare_fontsize)
ctrl, p, cdict, pdict = dec_sample_theta()
sim = SimWrap(ctrl, p, cdict, pdict)
sim.conv_min_slope_samples = 15
sim.ctrl.keep_intermediate_values = True
sim.simulate()
ax = run_hair_graph(aspect=compare_aspect)
ax.text(0.85, 0.9, 'No DC', transform=ax.transAxes, fontsize=compare_fontsize, verticalalignment='top', bbox=props)
xmid = 12
xmax = ctrl.steps-13
xmin = 0
ymin, ymax = ax.get_ylim()
ya = ymin-0.06
ax.set_xlim([xmin,xmax])
ax.set_ylim([ya,ymax])
fname = 'latex_figures/init_theta'
graphs.save(fname)
graphs.show()
del ax
graphs.change_fontsize(15)
ax = run_hair_graph()
# Draw biarrows
ax.annotate('', xy=(xmid, ya), xycoords='data',
xytext=(xmin, ya), textcoords='data',
arrowprops=dict(arrowstyle="<->"))
ax.annotate('', xy=(xmax, ya), xycoords='data',
xytext=(xmid, ya), textcoords='data',
arrowprops=dict(arrowstyle="<->"))
ax.plot([xmid, xmid], [ya-1, ymax], 'k--')
# text
ax.text(xmid/2, ya, 'Transient', ha='center', va='bottom' )
ax.text((xmax-xmid)/2 +xmid, ya, 'Drifting', ha='center', va='bottom' )
ax.set_xlim([xmin,xmax])
ax.set_ylim([ya-0.03,ymax])
fname = 'latex_figures/highlighted_regimes'
graphs.save(fname)
graphs.show()
# THETA EXAMPLE
graphs.change_fontsize(compare_fontsize)
ctrl, p, cdict, pdict = dec_sample_theta()
ctrl.prop_correction = True
sim = SimWrap(ctrl, p, cdict, pdict)
sim.conv_min_slope_samples = 15
sim.ctrl.keep_intermediate_values = True
sim.show_CFO = False
sim.show_TO = False
sim.make_cat = False
sim.simulate()
ax = run_hair_graph(aspect=compare_aspect)
ax.text(0.85, 0.9, 'Q = 7', transform=ax.transAxes, fontsize=compare_fontsize, verticalalignment='top', bbox=props)
ax.set_xlim([xmin,xmax])
ax.set_ylim([ya,ymax])
fname = 'latex_figures/example_theta'
graphs.save(fname)
graphs.show()
# THETA EXAMPLE with Q=14
graphs.change_fontsize(compare_fontsize)
ctrl, p, cdict, pdict = dec_sample_theta()
ctrl.prop_correction = True
ctrl.pc_b, ctrl.pc_a = lib.hipass_avg(14)
sim = SimWrap(ctrl, p, cdict, pdict)
sim.conv_min_slope_samples = 15
sim.ctrl.keep_intermediate_values = True
sim.show_CFO = False
sim.show_TO = False
sim.make_cat = False
sim.simulate()
ax = run_hair_graph(aspect=compare_aspect)
ax.text(0.85, 0.9, 'Q = 14', transform=ax.transAxes, fontsize=compare_fontsize, verticalalignment='top', bbox=props)
ax.set_xlim([xmin,xmax])
ax.set_ylim([ya,ymax])
fname = 'latex_figures/example_theta_q14'
graphs.save(fname)
graphs.show()
graphs.change_fontsize(fontsize_tmp)