def report_summary_servo_theta(context, combinations, explogs_test):
context = context.child('servo_theta')
rp = ReportProxy(context)
for id_robot, id_agent in combinations:
context.needs(RM_AGENT_LEARN, id_robot=id_robot, id_agent=id_agent)
f = rp.figure('%s-%s-servo_theta' % (id_robot, id_agent), cols=8,
caption='%s, %s' % (id_robot, id_agent))
for e in explogs_test:
key = dict(report_type='servo1', id_robot=id_robot,
id_agent=id_agent,
id_episode=e.id_episode)
s = 'servo-%s-' % basename_from_key(dict(id_agent=id_agent,
id_robot=id_robot,
id_episode=e.id_episode))
def add(url, nid, strict):
r = rp.add_child_from_other(url, s + nid, strict=strict, ** key)
f.sub(r, caption=nid)
add('u/figure2/tw', 'u-tw', True)
add('descent/figure2/tw', 'descent-tw', False)
return rp.get_job()
def job_report_learn(context, combs):
context = context.child('report_learn')
rp = ReportProxy(context)
for id_robot, id_agent in combs:
context.needs(RM_AGENT_LEARN, id_robot=id_robot, id_agent=id_agent)
f = rp.figure('%s-%s-model' % (id_robot, id_agent), cols=8,
caption='%s, %s' % (id_robot, id_agent))
key = dict(report_type='agent_report', id_robot=id_robot, id_agent=id_agent)
s = 'bds-%s-' % basename_from_key(dict(id_agent=id_agent, id_robot=id_robot))
add = lambda n, nid: f.sub(rp.add_child_from_other(n, s + nid, **key), caption=nid)
addif = lambda n, nid: f.sub(rp.add_child_from_other(n, s + nid, strict=False, **key), caption=nid)
add('estimator/model/M/slices/0/normalized/png', 'M0')
add('estimator/model/M/slices/1/normalized/png', 'M1')
addif('estimator/model/M/slices/2/normalized/png', 'M2')
add('estimator/model/N/slices/0/figure1/plot_scaled', 'N0')
add('estimator/model/N/slices/1/figure1/plot_scaled', 'N1')
addif('estimator/model/N/slices/2/figure1/plot_scaled', 'N2')
f = rp.figure('%s-%s-learn' % (id_robot, id_agent), cols=8,
caption='%s, %s' % (id_robot, id_agent))
add('estimator/tensors/T/slices/0/normalized/png', 'T0')
add('estimator/tensors/T/slices/1/normalized/png', 'T1')
addif('estimator/tensors/T/slices/2/normalized/png', 'T2')
add('estimator/tensors/U/slices/0/figure1/plot_scaled', 'U0')
add('estimator/tensors/U/slices/1/figure1/plot_scaled', 'U1')
addif('estimator/tensors/U/slices/2/figure1/plot_scaled', 'U2')
add('estimator/tensors/P/posneg', 'P')
return rp.get_job()
