Metadata-Version: 2.1
Name: teamgen
Version: 0.0.2
Summary: A basic, random team generator for tennis groups
Home-page: https://github.com/sharpertool/teamgen
Author: Ed Henderson
Author-email: ed@sharpertool.com
License: UNKNOWN
Description: # Tennis Team Generator
        
        This is a pretty basic generator that takes a list of players, and generates
        teams that try and make for a fairly even distribution of player skills 
        on both sides of the net. It aims for the best groups.
        
        Each player is described in a a json file, and their rating includes their USTA
        rating, as well as a "Micro NTRP", that is an assessment, in 0.1 or 0.01 increments
        of that actual level of play, to be more precise than the NTRP. Someone has to make
        a judgement there of course, usually the group captain.
        
        The project uses a sequence of 'random' selections, and then trows out those that fail
        some criteria. 
        
        To be frank, the algorithm isn't that great, but until I can figure out how to make a better
        one, this one does the trick for me. It often requires that I run it several times, and I need
        to manually review the results. Lots of room for improvement!!
        
        ## Number of Courts
        The number of courts is configurable, so anywhere from 2-4 courts works.
        
        ## Number of players
        You need enough players to keep the courts even, so 16 for 4 courts, etc. This does not handle singles.
        
        ## Distribution of Men and Women.
        Generally, we want even numbers of men and women, but the algorithm does compensate if there are uneven
        counts. 
        For example, if there are 4 courts, and we have 10men and 6 women, we can do 3 courts of mixed doubles,
        and one court of men's singles each round. The same applies if we have 10women and 6 men -- one court of
        women's singles per round.
        
        ## Quality Metics
        I have some quality metrics that "weight" the requirement of how close the players are that play together,
        
            I.E. Can a 4.5 play with a 3.0? That is a spread of 1.5 on one side of the court
        
        Also, the weight of the combined rating of players across the net
        
            If a 4.5 and 4.0 are on one side, and a 3.5 and 4.0 on the other, that is 8.5 versus 7.5, for a spread of 1.0
        
        ## Maximum spread
        
        We can limit the maximum spread on each court side so that we avoid a 4.5 playing with a 3.0, for example.
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
