poker_ai.terminal package

Subpackages

• poker_ai.terminal.ascii_objects package
  • Submodules
  • poker_ai.terminal.ascii_objects.card_collection module
  • poker_ai.terminal.ascii_objects.logger module
  • poker_ai.terminal.ascii_objects.player module
  • Module contents

Submodules

poker_ai.terminal.render module

poker_ai.terminal.render.print_footer(term: blessed.terminal.Terminal, selected_action_i: int, legal_actions: List[str])

poker_ai.terminal.render.print_header(term: blessed.terminal.Terminal, state: poker_ai.games.short_deck.state.ShortDeckPokerState, og_name_to_name: Dict[str, str])

poker_ai.terminal.render.print_log(term: blessed.terminal.Terminal, log: poker_ai.terminal.ascii_objects.logger.AsciiLogger)

poker_ai.terminal.render.print_table(term: blessed.terminal.Terminal, players: Dict[str, poker_ai.terminal.ascii_objects.player.AsciiPlayer], public_cards: poker_ai.terminal.ascii_objects.card_collection.AsciiCardCollection, n_table_rotations: int, n_spaces_between_cards: int = 4, n_chips_in_pot: int = 0)

poker_ai.terminal.results module

class poker_ai.terminal.results.UserResults

Bases: object

Class to store user results.

add_result(strategy_path: str, agent: str, state: poker_ai.games.short_deck.state.ShortDeckPokerState, og_name_to_name: Dict[str, str])

Adds results to file.

Parameters

• strategy_path (str) – Path to the strategy.

• agent (Agent) – Trainable entity that stores regret and unnormalized strategy.

• state (ShortDeckPokerState) – Current state of the game.

• og_name_to_name (Dict[str, str]) –

poker_ai.terminal.runner module

Module contents