Open drRobertDev opened 3 weeks ago
Thanks a lot !!
I'll put this dataset in the repo. Although I did not understand the use case of Group
.
Example with Group : Bayer 04 Leverkusen v Eintracht Frankfurt
Rare: Min 3 (without group you dont have idea what players are good or not)
Raw Config EA: { "eligibilitySlot": 4, "eligibilityKey": "PLAYER_COUNT", "eligibilityValue": 3 }, { "eligibilitySlot": 4, "eligibilityKey": "SCOPE", "eligibilityValue": 0 }, { "eligibilitySlot": 4, "eligibilityKey": "PLAYER_RARITY_GROUP", "eligibilityValue": 4 },
EA Code;
case SBCEligibilityKey.PLAYER_RARITY_GROUP: ;(o = t.count), (r = this.getNumberOfPlayersByGroup(c)) break
[...]
(UTSBCChallengeEntity.prototype.getNumberOfPlayersByGroup = function ( t, e ) { if ((void 0 === e && (e = !1), !this.squad)) return 0 var n = this.squad return this.playerCountHelper(t, function (i) { return n.getNonBrickSlots(e).reduce(function (t, e) { return e.isValid() && e.getItem().belongsToGroup(i) ? ++t : t }, 0) }) }),
[...]
(UTItemEntity.prototype.belongsToGroup = function (t) { return -1 < this.groups.indexOf(t) }),
I try to do this challange https://www.futbin.com/25/squad-building-challenges/Challenges/182/total-rush-challenge-3 as you can see all solutions are Gold players and 1 Bronze or 1 Silver, then not special players need it like icons.
requirements Same Nation Count: Min 5 Same League Count: Max 5 Clubs: Min 5 Rare: Min 5 Squad Rating: Min 80 Team Chemistry: Min 31 players in squad: 11
Config:
df = df[df['Rarity'].isin(['Common', 'Rare'])] # Filter out players with rarity other than Common and Rare we dont wanna solve with Icons or Special Players
FORMATION = "4-4-2" NUM_PLAYERS = 11 PLAYERS_IN_POSITION = False USE_ALTERNATE_POSITIONS = True NUM_UNIQUE_CLUB = [5, "Min"] NUM_UNIQUE_LEAGUE = [5, "Max"] NUM_UNIQUE_COUNTRY = [5, "Min"] RARITY_1 = ['Rare'] NUM_RARITY_1 = [5] SQUAD_RATING = 80 CHEMISTRY = 31
create_unique_club_constraint create_unique_league_constraint create_unique_country_constraint create_rarity_1_constraint (will be infeasible without will be unknow) create_squad_rating_constraint_3 create_chemistry_constraint
timeout 300
Maybe i setup something wrong? or there issue ?
Thanks a lot of taking interest!
So the config is slightly off.
SBC = https://www.futbin.com/25/squad-building-challenges/Challenges/182/total-rush-challenge-3
I used Catamarca FC_24.csv
.
FORMATION = "4-4-2"
and CHEMISTRY= 31
. For other constraints, have a look at the below table.
Requirement | Variable | Function |
---|---|---|
Same Nation Count: Min 5 | MIN_NUM_COUNTRY = 5 |
create_min_country_constraint |
Same League Count: Max 5 | MAX_NUM_LEAGUE = 5 |
create_max_league_constraint |
Clubs: Min 5 | NUM_UNIQUE_CLUB = [5, "Min"] |
create_unique_club_constraint |
Rare: Min 5 | RARITY_2 = ["Rare"], NUM_RARITY_2 = [5] |
create_rarity_2_constraint |
Squad Rating: Min 80 | SQUAD_RATING = 80 |
create_squad_rating_constraint_3 |
Let me know if you have any other questions! I’ve tried to comment the code as accurately as possible to match the SBC requirements as they typically appear.
I used Catamarca FC_24.csv
.
FORMATION = "4-3-3"
and CHEMISTRY= 18
. For other constraints, have a look at the below table.
Requirement | Variable | Function |
---|---|---|
# Players from Bundesliga: Min 2 | LEAGUE = [["Bundesliga"]], NUM_LEAGUE = [2] |
create_league_constraint |
Same League Count: Min 5 | MIN_NUM_LEAGUE = 5 |
create_min_league_constraint |
Same Nation Count: Max 3 | MAX_NUM_COUNTRY = 3 |
create_max_country_constraint |
Rare: Min 3 | RARITY_2 = ["Rare"], NUM_RARITY_2 = [3] |
create_rarity_2_constraint |
Player Level: Min Silver | df = df[df["Color"] != "Bronze"] |
I generate Fc 25 players inventary
https://drive.google.com/file/d/1X6mmLpnx9uKUvTUI5rDCe3Bz42jkNFmS/view?usp=sharing
I added also Groups cause missing in your SBC solver some challange require Group parameter