Spaces:
Runtime error
Runtime error
| from bridgebots import Suit, Direction, Card, Rank | |
| from bridgebots.pbn import from_pbn_deal | |
| from pbn_util import pbn_deal_string | |
| from collections import Counter | |
| DEALER_LIST = ['N', 'E', 'S', 'W'] | |
| VULNERABILITY_LIST = ["None","NS","EW","All","NS","EW","All","None","EW","All","None","NS","All","None","NS","EW"] | |
| SUITS = [Suit.SPADES, Suit.HEARTS, Suit.DIAMONDS, Suit.CLUBS] | |
| RANKS = [r.abbreviation() for r in Rank] | |
| def get_vulnerabilty_from_board_number(board_no: int) -> str: | |
| # Get vulnerability from board number | |
| return VULNERABILITY_LIST[(board_no-1) % 16] | |
| def get_dealer_from_board_number(board_no: int) -> str: | |
| return DEALER_LIST[(board_no-1) % 4] | |
| def validate_dataframe(df) -> None: | |
| """ validate submitted dataframe before saving pbn """ | |
| # Check column names to be NESW | |
| missing_direction = [direction.abbreviation() for direction in Direction if not direction.abbreviation() in df.columns] | |
| assert len(missing_direction) == 0, f"Expect directions in table to be {','.join([d.abbreviation() for d in Direction])}" + \ | |
| f" missing {','.join(missing_direction)}" | |
| err_msg = '' | |
| # Check each direction to have 13 cards | |
| invalid_num_cards_direction = [direction.name for direction in Direction if len((''.join(df[direction.abbreviation()].tolist()))) != 13] | |
| if invalid_num_cards_direction: | |
| err_msg += f'Expect 13 cards in each hand, received invalid number of cards in {",".join(invalid_num_cards_direction)}. ' | |
| # Check card values in RANKS | |
| cards = [] | |
| invalid_values = set() | |
| for direction in Direction: | |
| for ranks, suit in zip(df[direction.abbreviation()], SUITS): | |
| for r in ranks: | |
| try: | |
| Rank.from_str(r) | |
| except: | |
| invalid_values.add(r) | |
| assert not invalid_values, f'Expect card values in {",".join(RANKS)}, received {invalid_values}' | |
| for direction in Direction: | |
| for ranks, suit in zip(df[direction.abbreviation()], SUITS): | |
| cards.extend([Card(rank=Rank.from_str(v), suit=suit) for v in ranks]) | |
| # Check duplicated and missing cards | |
| duplicated, missing = get_invalid_cards(cards) | |
| if len(duplicated) > 0: | |
| err_msg += f'Duplicated cards: {duplicated}. ' | |
| if len(missing) > 0: | |
| err_msg += f'Missing cards: {missing}. ' | |
| assert not err_msg, err_msg | |
| def df_info(df): | |
| # missing_direction = [direction.abbreviation() for direction in Direction if not direction.abbreviation() in df.columns] | |
| num_cards_direction = {direction.name: len((''.join(df[direction.abbreviation()].tolist()))) for direction in Direction} | |
| invalid_values = set() | |
| for direction in Direction: | |
| for ranks, suit in zip(df[direction.abbreviation()], SUITS): | |
| for r in ranks: | |
| try: | |
| Rank.from_str(r) | |
| except: | |
| invalid_values.add(r) | |
| if invalid_values: | |
| return f'Expect card values in {",".join(RANKS)}, received {invalid_values}' | |
| cards = [] | |
| for direction in Direction: | |
| for ranks, suit in zip(df[direction.abbreviation()], SUITS): | |
| cards.extend([Card(rank=Rank.from_str(v), suit=suit) for v in ranks]) | |
| # Check duplicated and missing cards | |
| duplicated, missing = get_invalid_cards(cards) | |
| if (not duplicated) and (not missing) and not [True for n in num_cards_direction.values() if n!=13]: | |
| return f'It looks good!' | |
| print_info = f'Number of cards: {num_cards_direction} \n' | |
| print_info += f'Duplicated cards: {",".join(sorted(map(Card.__repr__,duplicated)))} \n' | |
| print_info += f'Missing cards: {",".join(sorted(map(Card.__repr__,missing)))}' | |
| return print_info | |
| def get_invalid_cards(cards: list[Card]) -> tuple[set, set]: | |
| """Get duplicated and missing cards""" | |
| counter_cards = Counter(cards) | |
| duplicated = {c for c, cnt in counter_cards.items() if cnt > 1} | |
| missing = {Card(s,r) for r in Rank for s in Suit if not Card(s,r) in counter_cards.keys()} | |
| return duplicated, missing | |
| def roll_direction(df, idx): | |
| new_df = df.copy(deep=True) | |
| for i, direction in enumerate(DEALER_LIST): | |
| new_direction = DEALER_LIST[(idx+i)%4] | |
| new_df[direction] = df[new_direction] | |
| return new_df |