Dima Kudosh

How much result from your implementation differs from the current implementation? As I can see you generate many random lineups not using the library and this method does not guarantee...

The problem is that from a performance point of view this method will work slower than the current implementation because almost all constraints should be applied on a single lineup...

You have an error in min_games constraint, dk tiers settings have configs that at least 2 games must be used. How many games are in your csv?

In version 3.6.1 teams exposures were added: [docs](https://pydfs-lineup-optimizer.readthedocs.io/en/latest/rules.html#teams-exposures). You can try to use it.

You can do this using player groups like this: ``` for (min_value, max_value, total) in [(0, 0.025, 3), (0.025, 0.1, 2), (0.1, 0.25, 2)]: optimizer.add_players_group(PlayersGroup( [player for player in optimizer.players...

Can you provide more information? What sport did you run? Did you have players for all positions?

Hi, what optimizer are you using? If you do restrict_positions_for_same_team(('RB', 'RB')) it shouldn't allow to add RB as FLEX from same team. RB is the name of player position, not...

Could you provide a full code sample?

I can't reproduce this bug. Are you using the latest version of library?

``` from pydfs_lineup_optimizer import __version__ print(__version__) ```