def mergeWith(self, event): if type(event) is types.DictType: event = Event(event) event = event.toJSON() photo_list1 = self._event['photos'] photo_list2 = event['photos'] new_photo_list = [] l1 = 0 l2 = 0 merged = 0 while l1 < len(photo_list1) and l2 < len(photo_list2): p1 = Photo(photo_list1[l1]) p2 = Photo(photo_list2[l2]) compare = p1.compare(p2) if compare == 1: new_photo_list.append(photo_list1[l1]) l1 += 1 continue if compare == -1: new_photo_list.append(photo_list2[l2]) l2 += 1 merged += 1 continue # compare == 0 new_photo_list.append(photo_list1[l1]) l1 += 1 l2 += 1 while l1 < len(photo_list1): new_photo_list.append(photo_list1[l1]) l1 += 1 while l2 < len(photo_list2): new_photo_list.append(photo_list2[l2]) l2 += 1 merged += 1 self._event['photos'] = new_photo_list # update actual value self.setActualValue(self._getActualValueByCounting()) # do not change the order of the following code actual_value_1 = self._event['actual_value'] actual_value_2 = event['actual_value'] zscore1 = float(self._event['zscore']) zscore2 = float(event['zscore']) std1 = float(self._event['predicted_std']) std2 = float(event['predicted_std']) new_std = (std1 * actual_value_1 + std2 * actual_value_2) / (actual_value_1 + actual_value_2) new_zscore = (zscore1 * actual_value_1 + zscore2 * actual_value_2) / (actual_value_1 + actual_value_2) self.setZscore(new_zscore) new_mu = actual_value_1 - new_zscore * new_std self.setPredictedValues(new_mu, new_std) return merged
def mergeWith(self, event): if type(event) is types.DictType: event = Event(event) event = event.toJSON() photo_list1 = self._event['photos'] photo_list2 = event['photos'] new_photo_list = [] l1 = 0 l2 = 0 merged = 0 while l1 < len(photo_list1) and l2 < len(photo_list2): p1 = Photo(photo_list1[l1]) p2 = Photo(photo_list2[l2]) compare = p1.compare(p2) if compare == 1: new_photo_list.append(photo_list1[l1]) l1 += 1 continue if compare == -1: new_photo_list.append(photo_list2[l2]) l2 += 1 merged += 1 continue # compare == 0 new_photo_list.append(photo_list1[l1]) l1 += 1 l2 += 1 while l1 < len(photo_list1): new_photo_list.append(photo_list1[l1]) l1 += 1 while l2 < len(photo_list2): new_photo_list.append(photo_list2[l2]) l2 += 1 merged += 1 return merged
def _mergeWith(self, event):
if type(event) is not types.DictType:
event = event.toDict()
element_list1 = self._event[self._element_type]
element_list2 = event[BaseEvent(self._element_type, event)._element_type]
new_element_list = []
l1 = 0
l2 = 0
merged = 0
while l1 < len(element_list1) and l2 < len(element_list2):
if self._element_type == 'photos':
d1 = Photo(element_list1[l1])
d2 = Photo(element_list2[l2])
else:
d1 = Tweet(element_list1[l1])
d2 = Tweet(element_list2[l2])
compare = d1.compare(d2)
if compare == 1:
new_element_list.append(element_list1[l1])
l1 += 1
continue
if compare == -1:
new_element_list.append(element_list2[l2])
l2 += 1
merged += 1
continue
# compare == 0
new_element_list.append(element_list1[l1])
l1 += 1
l2 += 1
while l1 < len(element_list1):
new_element_list.append(element_list1[l1])
l1 += 1
while l2 < len(element_list2):
new_element_list.append(element_list2[l2])
l2 += 1
merged += 1
self._event[self._element_type] = new_element_list
# update actual value
self.setActualValue(self._getActualValueByCounting())
# do not change the order of the following code
actual_value_1 = self._event['actual_value']
actual_value_2 = event['actual_value']
zscore1 = float(self._event['zscore'])
zscore2 = float(event['zscore'])
std1 = float(self._event['predicted_std'])
std2 = float(event['predicted_std'])
new_std = (std1 * actual_value_1 + std2 * actual_value_2) / (actual_value_1 + actual_value_2)
new_zscore = (zscore1 * actual_value_1 + zscore2 * actual_value_2) / (actual_value_1 + actual_value_2)
self.setZscore(new_zscore)
new_mu = actual_value_1 - new_zscore * new_std
self.setPredictedValues(new_mu, new_std)
return merged
def mergeWith(self, event):
if type(event) is types.DictType:
event = Event(event)
event = event.toJSON()
photo_list1 = self._event['photos']
photo_list2 = event['photos']
new_photo_list = []
l1 = 0
l2 = 0
merged = 0
while l1 < len(photo_list1) and l2 < len(photo_list2):
p1 = Photo(photo_list1[l1])
p2 = Photo(photo_list2[l2])
compare = p1.compare(p2)
if compare == 1:
new_photo_list.append(photo_list1[l1])
l1 += 1
continue
if compare == -1:
new_photo_list.append(photo_list2[l2])
l2 += 1
merged += 1
continue
# compare == 0
new_photo_list.append(photo_list1[l1])
l1 += 1
l2 += 1
while l1 < len(photo_list1):
new_photo_list.append(photo_list1[l1])
l1 += 1
while l2 < len(photo_list2):
new_photo_list.append(photo_list2[l2])
l2 += 1
merged += 1
self._event['photos'] = new_photo_list
# update actual value
self.setActualValue(self._getActualValueByCounting())
# do not change the order of the following code
actual_value_1 = self._event['actual_value']
actual_value_2 = event['actual_value']
zscore1 = float(self._event['zscore'])
zscore2 = float(event['zscore'])
std1 = float(self._event['predicted_std'])
std2 = float(event['predicted_std'])
new_std = (std1 * actual_value_1 +
std2 * actual_value_2) / (actual_value_1 + actual_value_2)
new_zscore = (zscore1 * actual_value_1 + zscore2 * actual_value_2) / (
actual_value_1 + actual_value_2)
self.setZscore(new_zscore)
new_mu = actual_value_1 - new_zscore * new_std
self.setPredictedValues(new_mu, new_std)
return merged
