def getInform(self, belief):
'''
'''
act = "null()"
done = False
global_summary = SummaryMapping.globalSummary(belief, self.domainUtil)
inform_summary = []
for num_accepted in range(1, MAX_NUM_ACCEPTED + 1):
inform_summary.append(
SummaryMapping.actionSpecificInformSummary(
belief, num_accepted, self.domainUtil))
count80 = global_summary['GLOBAL_COUNT80']
offer_happened = global_summary['GLOBAL_OFFERHAPPENED']
if count80 >= MAX_NUM_ACCEPTED:
count80 = MAX_NUM_ACCEPTED - 1
arr = inform_summary[count80]
first = arr[0] # True if there is no matching entities
second = arr[1] # True if there is one matching entities
#third = arr[2] # True if there is two~four matching entities
discr = arr[4] # True if we can discriminate more
requested_slots = DMUtils.getRequestedSlots(belief)
#if (first or second or not discr or count80 >= len(Settings.ontology['system_requestable'])) and len(requested_slots)==0:
act = DMUtils.getInformAction(count80, belief, self.domainUtil)
if act != "null()":
done = True
return [done, act]
def getInform(self, belief):
"""
"""
act = "null()"
done = False
global_summary = SummaryMapping.globalSummary(belief, self.domainUtil)
inform_summary = []
for num_accepted in range(1, MAX_NUM_ACCEPTED + 1):
inform_summary.append(SummaryMapping.actionSpecificInformSummary(belief, num_accepted, self.domainUtil))
count80 = global_summary["GLOBAL_COUNT80"]
offer_happened = global_summary["GLOBAL_OFFERHAPPENED"]
if count80 >= MAX_NUM_ACCEPTED:
count80 = MAX_NUM_ACCEPTED - 1
arr = inform_summary[count80]
first = arr[0] # True if there is no matching entities
second = arr[1] # True if there is one matching entities
# third = arr[2] # True if there is two~four matching entities
discr = arr[4] # True if we can discriminate more
requested_slots = DMUtils.getRequestedSlots(belief)
# if (first or second or not discr or count80 >= len(Settings.ontology['system_requestable'])) and len(requested_slots)==0:
act = DMUtils.getInformAction(count80, belief, self.domainUtil)
if act != "null()":
done = True
return [done, act]
def _getGlobal(self, belief, global_summary):
act = 'null()'
if global_summary['GLOBAL_BYCONSTRAINTS'] > 0.5 and\
global_summary['GLOBAL_COUNT80'] > 3:
act = DMUtils.getGlobalAction(belief, 'INFORM_BYNAME', domainUtil=self.domainUtil)
elif global_summary['GLOBAL_BYALTERNATIVES'] > 0.5:
act = DMUtils.getGlobalAction(belief, 'INFORM_ALTERNATIVES', domainUtil=self.domainUtil)
elif global_summary['GLOBAL_BYNAME'] > 0.5:
act = DMUtils.getGlobalAction(belief, 'INFORM_REQUESTED', domainUtil=self.domainUtil )
elif global_summary['GLOBAL_FINISHED'] > 0.5:
act = DMUtils.getGlobalAction(belief, 'BYE', domainUtil=self.domainUtil)
elif global_summary['GLOBAL_REPEAT'] > 0.5:
act = DMUtils.getGlobalAction(belief, 'INFORM_REPEAT', domainUtil=self.domainUtil)
elif global_summary['GLOBAL_REQMORE'] > 0.5:
act = DMUtils.getGlobalAction(belief, 'INFORM_BYNAME', domainUtil=self.domainUtil)
elif global_summary['GLOBAL_THANKYOU'] > 0.5:
act = DMUtils.getGlobalAction(belief, 'REQMORE', domainUtil=self.domainUtil)
elif global_summary['GLOBAL_ACK'] > 0.5:
act = DMUtils.getGlobalAction(belief, 'REQMORE', domainUtil=self.domainUtil)
elif global_summary['GLOBAL_RESTART'] > 0.5:
act = DMUtils.getGlobalAction(belief, 'RESTART', domainUtil=self.domainUtil)
if act != 'null()':
return True, act
return False, act
def work(self, belief):
'''
This base Policy class performs pre- and post-processing of system action selection.
1. Preprocessing: It converts all summary actions to master actions and checks whether they are executable.
2. Action selection: This is done in overridden "select" method of a child class,
which returns an index of selected action.
3. Postprocessing: Converts selected action index to master action and adds count=.
If the policy doesn't need these pre- and post-processing, It can override this work method.
:return: system action in string
'''
# 1. Preprocessing: Get executable actions.
executable = []
all_action_list = []
for a in range(self.numActions):
summary, sys_act = self.to_master_action(a, belief, self.last_act)
all_action_list.append(sys_act)
if not sys_act.startswith('null'):
executable.append(a)
# 2. Action selection.
self.last_belief = self.belief
self.last_act = self.act
act_index = self.select(belief, executable)
self.belief = belief
self.act = act_index
# 3. Postprocessing.
output = all_action_list[act_index]
if self.use_confreq:
output = DMUtils.add_venue_count(output, belief, self.domainUtil)
return output
def work(self, belief):
'''
This base Policy class performs pre- and post-processing of system action selection.
1. Preprocessing: It converts all summary actions to master actions and checks whether they are executable.
2. Action selection: This is done in overridden "select" method of a child class,
which returns an index of selected action.
3. Postprocessing: Converts selected action index to master action and adds count=.
If the policy doesn't need these pre- and post-processing, It can override this work method.
:return: system action in string
'''
# 1. Preprocessing: Get executable actions.
executable = []
all_action_list = []
for a in range(self.numActions):
summary, sys_act = self.to_master_action(a, belief, self.last_act)
all_action_list.append(sys_act)
if not sys_act.startswith('null'):
executable.append(a)
# 2. Action selection.
self.last_belief = self.belief
self.last_act = self.act
act_index = self.select(belief, executable)
self.belief = belief
self.act = act_index
# 3. Postprocessing.
output = all_action_list[act_index]
if self.use_confreq:
output = DMUtils.add_venue_count(output, belief, self.domainUtil)
return output
def _getRequest(self, belief, array_slot_summary):
#slots = Settings.ontology['system_requestable']
# This is added for confreq.
need_grounding = DMUtils.getTopBeliefs(belief, 0.8, domainUtil=self.domainUtil)
for slot in self.domainUtil.sorted_system_requestable_slots: #slots:
summary = array_slot_summary[slot]
(_, topprob) = summary['TOPTWO'][0]
(_, secprob) = summary['TOPTWO'][1]
if topprob < 0.8:
# Add implicit confirmation (for confreq.)
grounding_slots = copy.deepcopy(need_grounding)
if slot in grounding_slots:
del grounding_slots[slot]
grounding_result = []
for grounding_slot in grounding_slots:
if len(grounding_result) < 3:
(value, prob) = grounding_slots[grounding_slot]
grounding_result.append('%s="%s"' % (grounding_slot, value))
if not grounding_result or not self.use_confreq:
return True, 'request(%s)' % slot
else:
return True, 'confreq(' + ','.join(grounding_result) + ',%s)' % slot
return False, 'null()'
def work(self, belief):
"""Primary response function of HDC policy
"""
global_summary = SummaryMapping.globalSummary(belief, domainUtil=self.domainUtil)
array_slot_summary = SummaryMapping.arraySlotSummary(belief, self.domainUtil)
logger.debug(str(global_summary))
logger.debug('HDC policy: getGlobal')
done, output = self._getGlobal(belief, global_summary)
if not done:
logger.debug('HDC policy: getConfirmSelect')
done, output = self._getConfirmSelect(belief, array_slot_summary)
if not done:
logger.debug('HDC policy: getInform')
inform_summary = []
for num_accepted in range(1, MAX_NUM_ACCEPTED+1):
temp = SummaryMapping.actionSpecificInformSummary(belief, num_accepted, self.domainUtil)
inform_summary.append(temp)
done, output = self._getInform(belief, global_summary, inform_summary)
if not done:
logger.debug('HDC policy: getRequest')
done, output = self._getRequest(belief, array_slot_summary)
if not done:
logger.warning("HDCPolicy couldn't find action: execute reqmore().")
output = 'reqmore()'
if output == 'badact()' or output == 'null()':
logger.warning('HDCPolicy chose bad or null action')
output = 'null()'
if self.use_confreq:
#TODO - known problem here if use_confreq is True (ie being used) FIXME
output = DMUtils.add_venue_count(output, belief)
return output
def _getRequest(self, belief, array_slot_summary):
#slots = Settings.ontology['system_requestable']
# This is added for confreq.
need_grounding = DMUtils.getTopBeliefs(belief,
0.8,
domainUtil=self.domainUtil)
for slot in self.domainUtil.sorted_system_requestable_slots: #slots:
summary = array_slot_summary[slot]
(_, topprob) = summary['TOPTWO'][0]
(_, secprob) = summary['TOPTWO'][1]
if topprob < 0.8:
# Add implicit confirmation (for confreq.)
grounding_slots = copy.deepcopy(need_grounding)
if slot in grounding_slots:
del grounding_slots[slot]
grounding_result = []
for grounding_slot in grounding_slots:
if len(grounding_result) < 3:
(value, prob) = grounding_slots[grounding_slot]
grounding_result.append('%s="%s"' %
(grounding_slot, value))
if not grounding_result or not self.use_confreq:
return True, 'request(%s)' % slot
else:
return True, 'confreq(' + ','.join(
grounding_result) + ',%s)' % slot
return False, 'null()'
def _getInform(self, belief, global_summary, inform_summary):
act = 'null()'
count80 = global_summary['GLOBAL_COUNT80']
offer_happened = global_summary['GLOBAL_OFFERHAPPENED']
if count80 >= MAX_NUM_ACCEPTED:
count80 = MAX_NUM_ACCEPTED - 1
arr = inform_summary[count80]
first = arr[0] # True if there is no matching entities
second = arr[1] # True if there is one matching entities
#third = arr[2] # True if there is two~four matching entities
discr = arr[4] # True if we can discriminate more
logger.debug(
'%d among %d slots are accepted (>=0.8 belief).' %
(count80, len(self.domainUtil.sorted_system_requestable_slots)))
#logger.debug('%d among %d slots are accepted (>=0.8 belief).' % (count80, len(Settings.ontology['system_requestable'])))
if first or second or not discr or count80 >= len(
self.domainUtil.ontology['system_requestable']):
# If this inform gives either 0 or 1 or we've found everything we can ask about
logger.debug(
'Trying to get inform action, have enough accepted slots.')
logger.debug('Is there no matching entity? %s.' % str(first))
logger.debug('Is there only one matching entity? %s.' %
str(second))
logger.debug('Can we discriminate more? %s.' % str(discr))
requested_slots = DMUtils.getRequestedSlots(belief)
if len(requested_slots) > 0 and offer_happened:
logger.debug('Getting inform requested action.')
act = DMUtils.getGlobalAction(belief,
'INFORM_REQUESTED',
domainUtil=self.domainUtil)
else:
logger.debug(
'Getting inform exact action with %d accepted slots.' %
count80)
act = DMUtils.getInformAction(count80,
belief,
domainUtil=self.domainUtil)
if act != 'null()':
return True, act
return False, act
def dRdEi(self, E, mx, i):
R = self.exposure * self.frac[i] * DMU.dRdE(
E, self.N_p[i], self.N_n[i], mx,
[1.0 / self.N_p[i], 0.0, 0.0, 0.0])
if (R < 1e-30):
return 1e-30
else:
return R
def dRdE(self, E, mx, l):
R = 0
for i in range(self.N_iso):
R += self.frac[i] * DMU.dRdE(E, self.N_p[i], self.N_n[i], mx, l)
#print R
if (R < 1e-30):
return 1e-30
else:
return R * self.exposure
def sig_eff(self, mx, l):
N1 = (1.973e-14 * 1.973e-14) * 4.0 * (DMU.reduced_m(1.0,
mx))**2.0 / np.pi
sig0 = 0
for i in range(self.N_iso):
sig0 += 0.5 * self.frac[i] * (
(l[0] * self.N_p[i] + l[1] * self.N_n[i])**2.0 +
(l[2] * self.N_p[i] + l[3] * self.N_n[i])**2.0)
sig_p = N1 * sig0 / np.sum(self.frac * (self.N_p + self.N_n)**2)
return sig_p
def getRestart(self, belief):
'''
'''
global_summary = SummaryMapping.globalSummary(belief, self.domainUtil)
done = False
act = 'null()'
if global_summary['GLOBAL_RESTART'] > 0.5:
act = DMUtils.getGlobalAction(belief, 'RESTART', self.domainUtil)
if act != 'null()':
done = True
return done, act
def getRestart(self, belief):
"""
"""
global_summary = SummaryMapping.globalSummary(belief, self.domainUtil)
done = False
act = "null()"
if global_summary["GLOBAL_RESTART"] > 0.5:
act = DMUtils.getGlobalAction(belief, "RESTART", self.domainUtil)
if act != "null()":
done = True
return done, act
def getInformAlternatives(self, belief):
"""
"""
global_summary = SummaryMapping.globalSummary(belief, self.domainUtil)
done = False
act = "null()"
if global_summary["GLOBAL_BYALTERNATIVES"] > 0.5:
act = DMUtils.getGlobalAction(belief, "INFORM_ALTERNATIVES", self.domainUtil)
if act != "null()":
done = True
return done, act
def getInformRequested(self, belief):
"""
"""
global_summary = SummaryMapping.globalSummary(belief, self.domainUtil)
done = False
act = "null()"
if global_summary["GLOBAL_BYNAME"] > 0.5:
act = DMUtils.getGlobalAction(belief, "INFORM_REQUESTED", self.domainUtil)
if act != "null()":
done = True
return done, act
def getBye(self, belief):
'''
'''
global_summary = SummaryMapping.globalSummary(belief, self.domainUtil)
done = False
act = 'null()'
if global_summary['GLOBAL_FINISHED'] > 0.5:
act = DMUtils.getGlobalAction(belief, 'BYE', self.domainUtil)
if act != 'null()':
done = True
return done, act
def getReqMore(self, belief):
"""
"""
global_summary = SummaryMapping.globalSummary(belief, self.domainUtil)
done = False
act = "null()"
# if global_summary['GLOBAL_ACK'] > 0.5 or global_summary['GLOBAL_THANKYOU']>0.5:
act = DMUtils.getGlobalAction(belief, "REQMORE", self.domainUtil)
if act != "null()":
done = True
return done, act
def getReqMore(self, belief):
'''
'''
global_summary = SummaryMapping.globalSummary(belief, self.domainUtil)
done = False
act = 'null()'
#if global_summary['GLOBAL_ACK'] > 0.5 or global_summary['GLOBAL_THANKYOU']>0.5:
act = DMUtils.getGlobalAction(belief, 'REQMORE', self.domainUtil)
if act != 'null()':
done = True
return done, act
def getBye(self, belief):
"""
"""
global_summary = SummaryMapping.globalSummary(belief, self.domainUtil)
done = False
act = "null()"
if global_summary["GLOBAL_FINISHED"] > 0.5:
act = DMUtils.getGlobalAction(belief, "BYE", self.domainUtil)
if act != "null()":
done = True
return done, act
def getInformAlternatives(self, belief):
'''
'''
global_summary = SummaryMapping.globalSummary(belief, self.domainUtil)
done = False
act = 'null()'
if global_summary['GLOBAL_BYALTERNATIVES'] > 0.5:
act = DMUtils.getGlobalAction(belief, 'INFORM_ALTERNATIVES',
self.domainUtil)
if act != 'null()':
done = True
return done, act
def getInformRequested(self, belief):
'''
'''
global_summary = SummaryMapping.globalSummary(belief, self.domainUtil)
done = False
act = 'null()'
if global_summary['GLOBAL_BYNAME'] > 0.5:
act = DMUtils.getGlobalAction(belief, 'INFORM_REQUESTED',
self.domainUtil)
if act != 'null()':
done = True
return done, act
def actionSpecificInformSummary(belief, numAccepted, domainUtil):
"""count: # of entities matching with numAccepted slots in acceptance list.
:param belief: (dict) full belief state
:param numAccepted: (int)
:param informable_slots: (list)
:returns: summary_array [count==0, count==1, 2<=count<=4, count>4, discriminatable] \ discriminatable: matching entities can be further discriminated
"""
acceptanceList = DMUtils.getTopBeliefs(belief, domainUtil=domainUtil)
count = _countEntitiesForAcceptanceListPart(acceptanceList, numAccepted, domainUtil)
discriminatable = _acceptanceListCanBeDiscriminated(acceptanceList, numAccepted, domainUtil)
summary_array = [count == 0, count == 1, 2 <= count <= 4, count > 4, discriminatable]
return summary_array
def _getGlobal(self, belief, global_summary):
act = 'null()'
if global_summary['GLOBAL_BYCONSTRAINTS'] > 0.5 and\
global_summary['GLOBAL_COUNT80'] > 3:
act = DMUtils.getGlobalAction(belief,
'INFORM_BYNAME',
domainUtil=self.domainUtil)
elif global_summary['GLOBAL_BYALTERNATIVES'] > 0.5:
act = DMUtils.getGlobalAction(belief,
'INFORM_ALTERNATIVES',
domainUtil=self.domainUtil)
elif global_summary['GLOBAL_BYNAME'] > 0.5:
act = DMUtils.getGlobalAction(belief,
'INFORM_REQUESTED',
domainUtil=self.domainUtil)
elif global_summary['GLOBAL_FINISHED'] > 0.5:
act = DMUtils.getGlobalAction(belief,
'BYE',
domainUtil=self.domainUtil)
elif global_summary['GLOBAL_REPEAT'] > 0.5:
act = DMUtils.getGlobalAction(belief,
'INFORM_REPEAT',
domainUtil=self.domainUtil)
elif global_summary['GLOBAL_REQMORE'] > 0.5:
act = DMUtils.getGlobalAction(belief,
'INFORM_BYNAME',
domainUtil=self.domainUtil)
elif global_summary['GLOBAL_THANKYOU'] > 0.5:
act = DMUtils.getGlobalAction(belief,
'REQMORE',
domainUtil=self.domainUtil)
elif global_summary['GLOBAL_ACK'] > 0.5:
act = DMUtils.getGlobalAction(belief,
'REQMORE',
domainUtil=self.domainUtil)
elif global_summary['GLOBAL_RESTART'] > 0.5:
act = DMUtils.getGlobalAction(belief,
'RESTART',
domainUtil=self.domainUtil)
if act != 'null()':
return True, act
return False, act
def actionSpecificInformSummary(belief, numAccepted, domainUtil):
'''count: # of entities matching with numAccepted slots in acceptance list.
:param belief: (dict) full belief state
:param numAccepted: (int)
:param informable_slots: (list)
:returns: summary_array [count==0, count==1, 2<=count<=4, count>4, discriminatable] \ discriminatable: matching entities can be further discriminated
'''
acceptanceList = DMUtils.getTopBeliefs(belief, domainUtil=domainUtil)
count = _countEntitiesForAcceptanceListPart(acceptanceList, numAccepted, domainUtil)
discriminatable = _acceptanceListCanBeDiscriminated(acceptanceList, numAccepted, domainUtil)
summary_array = [count == 0, count == 1, 2 <= count <= 4, count > 4, discriminatable]
return summary_array
def getInformByName(self, belief):
'''
'''
global_summary = SummaryMapping.globalSummary(belief, self.domainUtil)
done = False
act = 'null()'
if (global_summary['GLOBAL_BYCONSTRAINTS'] > 0.5 #or global_summary['GLOBAL_BYNAME'] >0 or global_summary['GLOBAL_BYALTERNATIVES'] > 0.5
) and\
global_summary['GLOBAL_COUNT80'] > 3:
act = DMUtils.getGlobalAction(belief, 'INFORM_BYNAME',
self.domainUtil)
if act != 'null()':
done = True
return done, act
def getInformByName(self, belief):
"""
"""
global_summary = SummaryMapping.globalSummary(belief, self.domainUtil)
done = False
act = "null()"
if (
global_summary["GLOBAL_BYCONSTRAINTS"]
> 0.5 # or global_summary['GLOBAL_BYNAME'] >0 or global_summary['GLOBAL_BYALTERNATIVES'] > 0.5
) and global_summary["GLOBAL_COUNT80"] > 3:
act = DMUtils.getGlobalAction(belief, "INFORM_BYNAME", self.domainUtil)
if act != "null()":
done = True
return done, act
def globalSummary(belief, domainUtil):
'''summary of global actions such as offer happened etc.
:param belief: (dict) full belief state
:returns: (dict) summary. dict keys are given by :meth:`global_summary_features`
'''
topMethod, topMethodBelief = DMUtils.getTopBelief(belief['beliefs']['method'])
topDiscourseAct, topDiscourseActBelief = DMUtils.getTopBelief(belief['beliefs']['discourseAct'])
if topMethod == 'byconstraints':
globalpoint = 'GLOBAL_BYCONSTRAINTS'
elif topMethod == 'byalternatives':
globalpoint = 'GLOBAL_BYALTERNATIVES'
elif topMethod == 'byname':
globalpoint = 'GLOBAL_BYNAME'
elif topMethod == 'finished' and topMethodBelief > 0.5:
globalpoint = 'GLOBAL_FINISHED'
elif topMethod == 'restart' and topMethodBelief > 0.5:
globalpoint = 'GLOBAL_RESTART'
else:
globalpoint = 'GLOBAL_BYCONSTRAINTS'
if topDiscourseAct == 'repeat' and topDiscourseActBelief > 0.5:
globalpoint = 'GLOBAL_REPEAT'
elif topDiscourseAct == 'reqmore' and topDiscourseActBelief > 0.5:
globalpoint = 'GLOBAL_REQMORE'
elif topDiscourseAct == 'thankyou' and topDiscourseActBelief > 0.5:
globalpoint = 'GLOBAL_THANKYOU'
elif topDiscourseAct == 'ack' and topDiscourseActBelief > 0.5:
globalpoint = 'GLOBAL_ACK'
summaryArray = dict.fromkeys(global_summary_features, False)
summaryArray[globalpoint] = True
summaryArray['GLOBAL_COUNT80'] = len(DMUtils.getTopBeliefs(belief, domainUtil=domainUtil))
summaryArray['GLOBAL_NAMENONE'] = belief['features']['lastActionInformNone']
summaryArray['GLOBAL_OFFERHAPPENED'] = belief['features']['offerHappened']
return summaryArray
def globalSummary(belief, domainUtil):
"""summary of global actions such as offer happened etc.
:param belief: (dict) full belief state
:returns: (dict) summary. dict keys are given by :meth:`global_summary_features`
"""
topMethod, topMethodBelief = DMUtils.getTopBelief(belief["beliefs"]["method"])
topDiscourseAct, topDiscourseActBelief = DMUtils.getTopBelief(belief["beliefs"]["discourseAct"])
if topMethod == "byconstraints":
globalpoint = "GLOBAL_BYCONSTRAINTS"
elif topMethod == "byalternatives":
globalpoint = "GLOBAL_BYALTERNATIVES"
elif topMethod == "byname":
globalpoint = "GLOBAL_BYNAME"
elif topMethod == "finished" and topMethodBelief > 0.5:
globalpoint = "GLOBAL_FINISHED"
elif topMethod == "restart" and topMethodBelief > 0.5:
globalpoint = "GLOBAL_RESTART"
else:
globalpoint = "GLOBAL_BYCONSTRAINTS"
if topDiscourseAct == "repeat" and topDiscourseActBelief > 0.5:
globalpoint = "GLOBAL_REPEAT"
elif topDiscourseAct == "reqmore" and topDiscourseActBelief > 0.5:
globalpoint = "GLOBAL_REQMORE"
elif topDiscourseAct == "thankyou" and topDiscourseActBelief > 0.5:
globalpoint = "GLOBAL_THANKYOU"
elif topDiscourseAct == "ack" and topDiscourseActBelief > 0.5:
globalpoint = "GLOBAL_ACK"
summaryArray = dict.fromkeys(global_summary_features, False)
summaryArray[globalpoint] = True
summaryArray["GLOBAL_COUNT80"] = len(DMUtils.getTopBeliefs(belief, domainUtil=domainUtil))
summaryArray["GLOBAL_NAMENONE"] = belief["features"]["lastActionInformNone"]
summaryArray["GLOBAL_OFFERHAPPENED"] = belief["features"]["offerHappened"]
return summaryArray
def _getInform(self, belief, global_summary, inform_summary):
act = 'null()'
count80 = global_summary['GLOBAL_COUNT80']
offer_happened = global_summary['GLOBAL_OFFERHAPPENED']
if count80 >= MAX_NUM_ACCEPTED:
count80 = MAX_NUM_ACCEPTED - 1
arr = inform_summary[count80]
first = arr[0] # True if there is no matching entities
second = arr[1] # True if there is one matching entities
#third = arr[2] # True if there is two~four matching entities
discr = arr[4] # True if we can discriminate more
logger.debug('%d among %d slots are accepted (>=0.8 belief).' % (count80, len(self.domainUtil.sorted_system_requestable_slots)))
#logger.debug('%d among %d slots are accepted (>=0.8 belief).' % (count80, len(Settings.ontology['system_requestable'])))
if first or second or not discr or count80 >= len(self.domainUtil.ontology['system_requestable']):
# If this inform gives either 0 or 1 or we've found everything we can ask about
logger.debug('Trying to get inform action, have enough accepted slots.')
logger.debug('Is there no matching entity? %s.' % str(first))
logger.debug('Is there only one matching entity? %s.' % str(second))
logger.debug('Can we discriminate more? %s.' % str(discr))
requested_slots = DMUtils.getRequestedSlots(belief)
if len(requested_slots) > 0 and offer_happened:
logger.debug('Getting inform requested action.')
act = DMUtils.getGlobalAction(belief, 'INFORM_REQUESTED', domainUtil=self.domainUtil)
else:
logger.debug('Getting inform exact action with %d accepted slots.' % count80)
act = DMUtils.getInformAction(count80, belief, domainUtil=self.domainUtil)
if act != 'null()':
return True, act
return False, act
def arraySlotSummary(belief, domainUtil):
'''Gets the summary vector for goal slots, including the top probabilities, entropy, etc.
:param belief: (dict) full belief state
:return: (dict) of slot goal summaries
'''
summary = {}
for slot in domainUtil.sorted_system_requestable_slots:
#Settings.ontology['system_requestable']:#Settings.ontology['informable']:
summary[slot] = {}
slot_belief = belief['beliefs'][slot]
summary[slot]['TOPTWO'], summary[slot]['ISTOPNONE'] = \
DMUtils.getTopTwoBeliefsExcludingNone(belief['beliefs'][slot])
belief_dist = slot_belief.values()
filtered_dist = filter(lambda prob: prob > ZERO_THRESHOLD, belief_dist)
summary[slot]['ENTROPY'] = filtered_dist * np.log(filtered_dist)
# Array indicating whether 'request' has top probability
summary[slot]['ISREQUESTTOP'] = belief['beliefs']['requested'][slot] > 0.5
return summary
def arraySlotSummary(belief, domainUtil):
"""Gets the summary vector for goal slots, including the top probabilities, entropy, etc.
:param belief: (dict) full belief state
:return: (dict) of slot goal summaries
"""
summary = {}
for slot in domainUtil.sorted_system_requestable_slots:
# Settings.ontology['system_requestable']:#Settings.ontology['informable']:
summary[slot] = {}
slot_belief = belief["beliefs"][slot]
summary[slot]["TOPTWO"], summary[slot]["ISTOPNONE"] = DMUtils.getTopTwoBeliefsExcludingNone(
belief["beliefs"][slot]
)
belief_dist = slot_belief.values()
filtered_dist = filter(lambda prob: prob > ZERO_THRESHOLD, belief_dist)
summary[slot]["ENTROPY"] = filtered_dist * np.log(filtered_dist)
# Array indicating whether 'request' has top probability
summary[slot]["ISREQUESTTOP"] = belief["beliefs"]["requested"][slot] > 0.5
return summary
def work(self, belief):
"""Primary response function of HDC policy
"""
global_summary = SummaryMapping.globalSummary(
belief, domainUtil=self.domainUtil)
array_slot_summary = SummaryMapping.arraySlotSummary(
belief, self.domainUtil)
logger.debug(str(global_summary))
logger.debug('HDC policy: getGlobal')
done, output = self._getGlobal(belief, global_summary)
if not done:
logger.debug('HDC policy: getConfirmSelect')
done, output = self._getConfirmSelect(belief, array_slot_summary)
if not done:
logger.debug('HDC policy: getInform')
inform_summary = []
for num_accepted in range(1, MAX_NUM_ACCEPTED + 1):
temp = SummaryMapping.actionSpecificInformSummary(
belief, num_accepted, self.domainUtil)
inform_summary.append(temp)
done, output = self._getInform(belief, global_summary,
inform_summary)
if not done:
logger.debug('HDC policy: getRequest')
done, output = self._getRequest(belief, array_slot_summary)
if not done:
logger.warning(
"HDCPolicy couldn't find action: execute reqmore().")
output = 'reqmore()'
if output == 'badact()' or output == 'null()':
logger.warning('HDCPolicy chose bad or null action')
output = 'null()'
if self.use_confreq:
#TODO - known problem here if use_confreq is True (ie being used) FIXME
output = DMUtils.add_venue_count(output, belief)
return output
import DMUtils as DMU
#We'll also import some useful libraries
import numpy as np
import matplotlib.pyplot as pl
# ### Loading nuclear form factors
# We load the NREFT form factor coefficients for the nucleus we're interested in (say Iodine for now) as follows. The form factor coefficients (`FF_I` in this case) are required to calculate the recoil rate.
# In[34]:
A_I = 127 #Nucleon number
Z_I = 53 #Atomic number
root = "FormFactors" #Folder where the form factor files are stored
FF_I = DMU.LoadFormFactors(root, A_I, Z_I)
# ### Differential recoil rate
# Before we calculate the differential recoil rate $\mathrm{d}R/\mathrm{d}E_R$, we have to specify the couplings. We do this by defining two vectors of couplings: 1 for the couplings to protons and 1 for the couplings to neutrons. Each vector should have 11 elements (one entry for each of the 11 NREFT operators - note that $\mathcal{O}_2$ is set to zero by default, but we keep 11 entries so that the numbering matches):
# In[35]:
#Initialise the empty vectors
cp = np.zeros(11)
cn = np.zeros(11)
# Let's start with the standard spin-independent interaction (so we want to set the first element $\mathcal{O}_1$, noting that the numbers of arrays starts from zero in python):
# In[36]:
