def resolve_consistency(self, data, seed):
print data.varnames
actList = []
actListJoint = []
data.sort([self.activityAttribs.hidName,
self.activityAttribs.pidName,
self.activityAttribs.scheduleidName])
# Create Index Matrix
self.create_indices(data)
self.create_col_numbers(data._colnames)
#if self.childDepProcessingType == 'Dummy':
# return data
for hhldIndex in self.hhldIndicesOfPersons:
ti = time.time()
firstPersonRec = hhldIndex[1]
lastPersonRec = hhldIndex[2]
persIndicesForActsForHhld = self.personIndicesOfActs[firstPersonRec:
lastPersonRec,
:]
#if hhldIndex[0] not in [8843,20008,20440,30985,48365,54850,60085,64006,68037,73093,77192,84903,84963]:
# 1047
# continue
householdObject = Household(hhldIndex[0])
for perIndex in persIndicesForActsForHhld:
personObject = Person(perIndex[0], perIndex[1])
schedulesForPerson = data.data[perIndex[2]:perIndex[3],:]
activityList = self.return_activity_list_for_person(schedulesForPerson)
personObject.add_episodes(activityList)
workStatus, schoolStatus, childDependency = self.return_status_dependency(schedulesForPerson)
personObject.add_status_dependency(workStatus, schoolStatus,
childDependency)
householdObject.add_person(personObject)
#print 'household object created in - %.4f' %(time.time()-ti)
if self.specification.terminalEpisodesAllocation:
householdObject.allocate_terminal_dependent_activities(seed)
elif self.childDepProcessingType == 'Allocation':
householdObject.allocate_dependent_activities(seed)
elif self.childDepProcessingType == 'Resolution':
householdObject.lineup_activities(seed)
elif self.childDepProcessingType == 'Fix Trip Purpose':
householdObject.fix_trippurpose(seed)
elif self.childDepProcessingType == 'Extract Tour Attributes':
householdObject.extract_tripattributes(seed)
#raw_input('extract tour attributes')
pass
reconciledSchedules = householdObject._collate_results()
actList += reconciledSchedules
#print 'created and reconciled in - %.4f' %(time.time()-ti)
return DataArray(actList, self.colNames)
def resolve_consistency(self, data, seed):
print data.varnames
actList = []
actListJoint = []
data.sort([self.activityAttribs.hidName,
self.activityAttribs.pidName,
self.activityAttribs.scheduleidName])
# Create Index Matrix
self.create_indices(data)
self.create_col_numbers(data._colnames)
#if self.childDepProcessingType == 'Dummy':
# return data
for hhldIndex in self.hhldIndicesOfPersons:
ti = time.time()
firstPersonRec = hhldIndex[1]
lastPersonRec = hhldIndex[2]
persIndicesForActsForHhld = self.personIndicesOfActs[firstPersonRec:
lastPersonRec,
:]
#if hhldIndex[0] not in [8843,20008,20440,30985,48365,54850,60085,64006,68037,73093,77192,84903,84963]:
# 1047
# continue
householdObject = Household(hhldIndex[0])
for perIndex in persIndicesForActsForHhld:
personObject = Person(perIndex[0], perIndex[1])
schedulesForPerson = data.data[perIndex[2]:perIndex[3],:]
activityList = self.return_activity_list_for_person(schedulesForPerson)
personObject.add_episodes(activityList)
workStatus, schoolStatus, childDependency = self.return_status_dependency(schedulesForPerson)
personObject.add_status_dependency(workStatus, schoolStatus,
childDependency)
householdObject.add_person(personObject)
#print 'household object created in - %.4f' %(time.time()-ti)
if self.specification.terminalEpisodesAllocation:
householdObject.allocate_terminal_dependent_activities(seed)
elif self.childDepProcessingType == 'Allocation':
householdObject.allocate_dependent_activities(seed)
elif self.childDepProcessingType == 'Resolution':
householdObject.lineup_activities(seed)
elif self.childDepProcessingType == 'Fix Trip Purpose':
householdObject.fix_trippurpose(seed)
elif self.childDepProcessingType == 'Extract Tour Attributes':
householdObject.extract_tripattributes(seed)
#raw_input('extract tour attributes')
pass
reconciledSchedules = householdObject._collate_results()
actList += reconciledSchedules
#print 'created and reconciled in - %.4f' %(time.time()-ti)
return DataArray(actList, self.colNames)
def process_dependency(args):
data = args[0]
seed = args[1]
activityAttribs = args[2]
dailyStatusAttribs = args[3]
dependencyAttribs = args[4]
specification = args[5]
t = time.time()
data["actobjects"] = data.apply(lambda x: return_act(x, activityAttribs),
axis=1)
hschedulesGrouped = data.groupby(level=0, sort=False)
pschedulesGrouped = data.groupby(level=[0, 1], sort=False)
workStatus_df = pschedulesGrouped[dailyStatusAttribs.workStatusName].min()
schoolStatus_df = pschedulesGrouped[
dailyStatusAttribs.schoolStatusName].min()
childDependency_df = pschedulesGrouped[
dependencyAttribs.childDependencyName].min()
#print workStatus_df.shape
#print workStatus_df
print "Size is %d and time taken to run the df apply - %.4f" % (
data.shape[0], time.time() - t)
t = time.time()
actList = []
for hid, hidSchedules in hschedulesGrouped:
householdObject = Household(hid)
for pid, pidSchedules in hidSchedules.groupby(level=1, axis=0):
personObject = Person(hid, pid)
activityList = list(pidSchedules["actobjects"].values)
personObject.add_episodes(activityList)
workStatus = workStatus_df[(hid, pid)]
schoolStatus = schoolStatus_df[(hid, pid)]
childDependency = childDependency_df[(hid, pid)]
personObject.add_status_dependency(workStatus, schoolStatus,
childDependency)
householdObject.add_person(personObject)
if specification.terminalEpisodesAllocation:
householdObject.allocate_terminal_dependent_activities(seed)
elif specification.childDepProcessingType == 'Allocation':
householdObject.allocate_dependent_activities(seed)
elif specification.childDepProcessingType == 'Resolution':
householdObject.lineup_activities(seed)
elif specification.childDepProcessingType == 'Fix Trip Purpose':
householdObject.fix_trippurpose(seed)
elif specification.childDepProcessingType == 'Extract Tour Attributes':
householdObject.extract_tripattributes(seed)
reconciledSchedules = householdObject._collate_results()
actList += reconciledSchedules
print "Time taken to loop through all schedules - %.4f" % (time.time() - t)
return actList
def process_dependency(args):
data = args[0]
seed = args[1]
activityAttribs = args[2]
dailyStatusAttribs = args[3]
dependencyAttribs = args[4]
specification = args[5]
t = time.time()
data["actobjects"] = data.apply(lambda x: return_act(x, activityAttribs), axis=1)
hschedulesGrouped = data.groupby(level=0, sort=False)
pschedulesGrouped = data.groupby(level=[0,1], sort=False)
workStatus_df = pschedulesGrouped[dailyStatusAttribs.workStatusName].min()
schoolStatus_df = pschedulesGrouped[dailyStatusAttribs.schoolStatusName].min()
childDependency_df = pschedulesGrouped[dependencyAttribs.childDependencyName].min()
#print workStatus_df.shape
#print workStatus_df
print "Size is %d and time taken to run the df apply - %.4f" %(data.shape[0], time.time()-t)
t = time.time()
actList = []
for hid, hidSchedules in hschedulesGrouped:
householdObject = Household(hid)
for pid, pidSchedules in hidSchedules.groupby(level=1, axis=0):
personObject = Person(hid, pid)
activityList = list(pidSchedules["actobjects"].values)
personObject.add_episodes(activityList)
workStatus = workStatus_df[(hid, pid)]
schoolStatus = schoolStatus_df[(hid, pid)]
childDependency = childDependency_df[(hid, pid)]
personObject.add_status_dependency(workStatus, schoolStatus,
childDependency)
householdObject.add_person(personObject)
if specification.terminalEpisodesAllocation:
householdObject.allocate_terminal_dependent_activities(seed)
elif specification.childDepProcessingType == 'Allocation':
householdObject.allocate_dependent_activities(seed)
elif specification.childDepProcessingType == 'Resolution':
householdObject.lineup_activities(seed)
elif specification.childDepProcessingType == 'Fix Trip Purpose':
householdObject.fix_trippurpose(seed)
elif specification.childDepProcessingType == 'Extract Tour Attributes':
householdObject.extract_tripattributes(seed)
reconciledSchedules = householdObject._collate_results()
actList += reconciledSchedules
print "Time taken to loop through all schedules - %.4f" %(time.time()-t)
return actList
