本文整理汇总了Python中photo.Photo.compare方法的典型用法代码示例。如果您正苦于以下问题：Python Photo.compare方法的具体用法？Python Photo.compare怎么用？Python Photo.compare使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类photo.Photo的用法示例。
在下文中一共展示了Photo.compare方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: mergeWith
# 需要导入模块: from photo import Photo [as 别名]
# 或者: from photo.Photo import compare [as 别名]
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示例2: _mergeWith
# 需要导入模块: from photo import Photo [as 别名]
# 或者: from photo.Photo import compare [as 别名]
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