You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
hi
thanks alot for this bot , It is very creative
i set conditions for daily fantacy sbc and add multiple account data to solver
but it's get too long time to reponse and sometimes not solve and break wall time
this is conditions
Clubs: Min 5
Same League Count: Min 4
Same Nation Count: Max 3
Rare: Min 3
Squad Rating: Min 78
Squad Total Chemistry Points: Min 26
of players in the Squad: 11
some of my accounts have more than 900 player but solver break the searching time
so i tested with input.csv but it's also break searching time
how can make it faster? how can i find problem?
The text was updated successfully, but these errors were encountered:
Can you send your 900 players club squad? I can do some testing.
Considering alternate positions, 900 players actually becomes ~2700. Currently time limit is 600 seconds, I thought that should be more than enough ... 10 mins is already a lot.
One thing you can do is uncomment the following line in main.py since there is a constraint on squad_rating.
Edit 1: I ran the sbc on Frederik FC_24.csv which has 861 players with formation 4-4-2. The solver gives me a solution almost instantly and the solution improves rapidly!
hi
thanks alot for this bot , It is very creative
i set conditions for daily fantacy sbc and add multiple account data to solver
but it's get too long time to reponse and sometimes not solve and break wall time
this is conditions
Clubs: Min 5
Same League Count: Min 4
Same Nation Count: Max 3
Rare: Min 3
Squad Rating: Min 78
Squad Total Chemistry Points: Min 26
of players in the Squad: 11
some of my accounts have more than 900 player but solver break the searching time
so i tested with input.csv but it's also break searching time
how can make it faster? how can i find problem?
The text was updated successfully, but these errors were encountered: