members = MemberSerializer(many=True, source='member_set.all', read_only=True)import urllib.request
from http.client import HTTPResponse
resp: HTTPResponse = urllib.request.urlopen("https://google.ru")6-9. Favorite Places: Make a dictionary called favorite_places. Think of three
names to use as keys in the dictionary, and store one to three favorite places
for each person. To make this exercise a bit more interesting, ask some friends
to name a few of their favorite places. Loop through the dictionary, and print
each person’s name and their favorite places
Насколько этот вариант актуален?
Может есть другие способы?
Как правильно реализовать данный механизм?
queryset.annotate(
last_job_status=Window(
expression=LastValue("workitem__job__status"),
partition_by=F('workitem__id'),
order_by=F('workitem__job__id')
)
).filter(last_job_status=Job.STATE_COMPLETED)Proximity distance is specified in words, adjusted for word count, and applies to all words within quotes. For instance, "cat dog mouse"~5 query means that there must be less than 8-word span which contains all 3 words, ie. "CAT aaa bbb ccc DOG eee fff MOUSE" document will not match this query, because this span is exactly 8 words long.
OPTION ranker=expr('sum(wlccs*user_weight) * 100500 - doc_word_count * 42')