用递归函数就好啊类似这种def fact(n): if n==1:  ...
format(doc['_id'])) return [] for collection_name in collections: found_related = es_mlt_search( data_db.name, doc, related_fields, collection_name, items_per_collection) if found_related: related.extend(found_related) # Filter results ret = [] for item_name in related: slug = Slug...
使用filter获得具有abc的元素。 >>> lst = ['abc-123', 'def-456', 'ghi-789', 'abc-456'] >>> print filter(lambda x: 'abc' in x, lst) ['abc-123', 'abc-456'] 您还可以使用列表推导。 >>> [x for x in lst if 'abc' in x] 顺便说一句,不要将单词list用作变量名,因为它已经...
userprofile.save()# logic for assigning tasksifrequest.POST['product_name']=='all':# all products all tasks buffet styleindex=0datasets=Dataset.objects.all()fordatasetindatasets:products=dataset.product_set.all()forproductinproducts:tasks=dataset.optask_set.all()tasks=tasks.filter(is_active=Tru...
最好不要在迭代的过程中删除。你可以使用解析式和filter过滤。 比方说: 这叫做字典解析式。它在不删除键的情况下创建了一个新的字典。在大多数情况下更推荐用这种方法。 如果你担心内存消耗,你可以将旧的引用指针指向新构造好的字典。 比方说: my_dict = {k:my_dict[k] for k in my_dict if k != ...
最好不要在迭代的过程中删除。你可以使用解析式和filter过滤。 比方说: {key:my_dict[key] for key in my_dict if key !="deleted" } 这叫做字典解析式。它在不删除键的情况下创建了一个新的字典。在大多数情况下更推荐用这种方法。 如果你担心内存消耗,你可以将旧的引用指针指向新构造好的字典。 比方...
make_all_period() free_cells = chain(p[1:-1] for p in paths) free_cells = list(set(free_cells)) shuffle(free_cells) out_cells = [] for cell in free_cells: out_cells.append(cell) times = SpearGenerator.visit_time(cell, paths) cur = [] for per in periods: times = filter(...
("参数cityid:"+cityid+"不存在于表city_city中,请检查")forcityincitys:self.city_entrance_urls.append(city.href)iflen(self.city_entrance_urls)>0:scrapy_item=ScrapyItem()scrapy_item.scrapy_name=self.nameifscrapy_item.is_existed_scrapy_name()isFalse:scrapy_item.save()self.scrapy_batch_item....
('Opens the documentation for the currently selected plugin.')defkeyPressEvent(self,event):ifevent.key()in[Qt.Key_Right,Qt.Key_Space]:index=self.pluginTree.currentIndex()self.pluginItemChanged(index)ifevent.key()==Qt.Key_Escape:self.close()# Use enter/return to bring up the dialog for ...
objects.filter(requerido=True, aplicacion='EN') initial_req_energia = [{'item': req} for req in req_energia] itemsEnergia = ItemsEnergia(prefix='energia-0', initial=initial_req_energia) formsets_energia.append(itemsEnergia) c = {'tarifaForm': tarifaForm, 'escalasFormset': escalasFormset...