endplay.dds.ddtable
Double dummy table calculation functions
Classes:
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Python wrapper for the _dds.ddTableResults class. |
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Functions:
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Optimized version of calc_dd_table for multiple deals which uses threading to speed up the calculation. |
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Calculates the double dummy results for all 20 possible combinations of dealer and trump suit for a given deal |
- class endplay.dds.ddtable.DDTable(data: ddTableResults)
Bases:
objectPython wrapper for the _dds.ddTableResults class. Entries can be accessed using the __getitem__ operator e.g. table[Denom.clubs, Player.west]
Methods:
pprint(*[, denoms, players, stream])Print the double dummy table in a grid format
to_LaTeX()Create a LaTeX string of the table
to_list([player_major])Convert the table to a 2d list
- pprint(*, denoms: ~collections.abc.Iterable[~endplay.types.denom.Denom] = [<Denom.clubs: 3>, <Denom.diamonds: 2>, <Denom.hearts: 1>, <Denom.spades: 0>, <Denom.nt: 4>], players: ~collections.abc.Iterable[~endplay.types.player.Player] = [<Player.north: 0>, <Player.south: 2>, <Player.east: 1>, <Player.west: 3>], stream=<_io.TextIOWrapper name='<stdout>' mode='w' encoding='utf-8'>) None
Print the double dummy table in a grid format
- Parameters:
denoms – Specify the columns of the table
players – Specify the rows of the table
- to_LaTeX() str
Create a LaTeX string of the table
- to_list(player_major: bool = False) list[list[int]]
Convert the table to a 2d list
- Parameters:
player_major – If True, the returned list is index by player first then strain
- class endplay.dds.ddtable.DDTableList(data: _dds.ddTableRes)
Bases:
SequenceAttributes:
- _abc_impl = <_abc._abc_data object>
- endplay.dds.ddtable.calc_all_tables(deals: Iterable[Deal], exclude: Iterable[Denom] = []) DDTableList
Optimized version of calc_dd_table for multiple deals which uses threading to speed up the calculation. exclude can contain a list of denominations to exclude from the calculation, e.g. if only the notrump results for the deals is required then pass Denom.suits()