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from rlcard.games.uno.card import UnoCard def _print_action(action): ''' Print out an action in a nice form Args: action (str): A string a action ''' UnoCard.print_cards(action, wild_color=True) class UnoCard: info = {'type': ['number', 'action', 'wild'], 'color': ['r', 'g', '...
Print out the state of a given player Args: player (int): Player id
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import os from PIL import Image, ImageTk, ImageDraw def reporthook(count, block_size, total_size): global start_time if count == 0: start_time = time.time() return duration = time.time() - start_time progress_size = int(count * block_size) speed = int(pro...
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import os from PIL import Image, ImageTk, ImageDraw image_dir = os.path.abspath(os.path.dirname(__file__)) def long_rank_name_for(rank: str) -> str: rank_exceptions = {'A': 'ace', 'T': '10', 'J': 'jack', 'Q': 'queen', 'K': 'king'} result = rank if rank not in rank_exceptions.keys() else rank_exceptions[rank] ...
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import os from PIL import Image, ImageTk, ImageDraw image_dir = os.path.abspath(os.path.dirname(__file__)) def get_card_back_image(scale_factor: float): card_filename = "{}/cards_png/back.jpg".format(image_dir) image = Image.open(card_filename) image_width, image_height = image.size card_scale_factor =...
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from typing import TYPE_CHECKING from typing import List import tkinter as tk import rlcard.games.gin_rummy.utils.utils as gin_rummy_utils from rlcard.games.gin_rummy.utils.gin_rummy_error import GinRummyProgramError from .canvas_item import CardItem, CanvasItem from .player_type import PlayerType from .configurations ...
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from typing import TYPE_CHECKING from typing import List import tkinter as tk import rlcard.games.gin_rummy.utils.utils as gin_rummy_utils from rlcard.games.gin_rummy.utils.gin_rummy_error import GinRummyProgramError from .canvas_item import CardItem, CanvasItem from .player_type import PlayerType from .configurations ...
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from typing import TYPE_CHECKING from typing import List import tkinter as tk import rlcard.games.gin_rummy.utils.utils as gin_rummy_utils from rlcard.games.gin_rummy.utils.gin_rummy_error import GinRummyProgramError from .canvas_item import CardItem, CanvasItem from .player_type import PlayerType from .configurations ...
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from typing import TYPE_CHECKING from typing import List import tkinter as tk import rlcard.games.gin_rummy.utils.utils as gin_rummy_utils from rlcard.games.gin_rummy.utils.gin_rummy_error import GinRummyProgramError from .canvas_item import CardItem, CanvasItem from .player_type import PlayerType from .configurations ...
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from typing import TYPE_CHECKING from typing import List import tkinter as tk import rlcard.games.gin_rummy.utils.utils as gin_rummy_utils from rlcard.games.gin_rummy.utils.gin_rummy_error import GinRummyProgramError from .canvas_item import CardItem, CanvasItem from .player_type import PlayerType from .configurations ...
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from typing import TYPE_CHECKING import tkinter as tk from ..gin_rummy_human_agent import HumanAgent from . import configurations from . import info_messaging from . import utils from .env_thread import EnvThread import rlcard.games.gin_rummy.utils.utils as gin_rummy_utils from rlcard.games.gin_rummy.utils.gin_rummy_er...
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from typing import TYPE_CHECKING from .canvas_item import CanvasItem from .player_type import PlayerType from . import handling_tap from . import utils from rlcard.games.gin_rummy.utils.gin_rummy_error import GinRummyProgramError def handle_tap_to_arrange_held_pile(hit_item: CanvasItem, game_canvas: 'GameCanvas'): ...
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from PIL import Image, ImageDraw, ImageFilter def rounded_rectangle(self: ImageDraw, xy, corner_radius, fill=None, outline=None): # FIXME: not used upper_left_point = xy[0] bottom_right_point = xy[1] self.rectangle( [ (upper_left_point[0], upper_left_point[1] + corner_radius), ...
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from typing import TYPE_CHECKING from . import configurations from . import info_messaging from . import utils from .configurations import DECLARE_DEAD_HAND_ACTION_ID from rlcard.games.gin_rummy.game import GinRummyGame def show_put_card_message(player_id: int, game_canvas: 'GameCanvas'): is_human_player = game_can...
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from typing import TYPE_CHECKING from . import configurations from . import info_messaging from . import utils from .configurations import DECLARE_DEAD_HAND_ACTION_ID from rlcard.games.gin_rummy.game import GinRummyGame def show_epilog_message_on_declare_dead_hand(game_canvas: 'GameCanvas'): game_canvas.info_label...
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from typing import TYPE_CHECKING from . import configurations from . import info_messaging from . import utils from .configurations import DECLARE_DEAD_HAND_ACTION_ID from rlcard.games.gin_rummy.game import GinRummyGame DECLARE_DEAD_HAND_ACTION_ID = 4 class GinRummyGame: ''' Game class. This class will interact w...
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from rlcard.utils.utils import print_card def print_card(cards): ''' Nicely print a card or list of cards Args: card (string or list): The card(s) to be printed ''' if cards is None: cards = [None] if isinstance(cards, str): cards = [cards] lines = [[] for _ in range(9...
Print out the state Args: state (dict): A dictionary of the raw state action_record (list): A list of the each player's historical actions
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from rlcard.utils.utils import print_card def print_card(cards): ''' Nicely print a card or list of cards Args: card (string or list): The card(s) to be printed ''' if cards is None: cards = [None] if isinstance(cards, str): cards = [cards] lines = [[] for _ in range(9...
Print out the state Args: state (dict): A dictionary of the raw state action_record (list): A list of the each player's historical actions
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from rlcard.utils.utils import print_card def print_card(cards): ''' Nicely print a card or list of cards Args: card (string or list): The card(s) to be printed ''' if cards is None: cards = [None] if isinstance(cards, str): cards = [cards] lines = [[] for _ in range(9...
Print out the state Args: state (dict): A dictionary of the raw state action_record (list): A list of the historical actions
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import logging import traceback import numpy as np import torch def get_batch( free_queue, full_queue, buffers, batch_size, lock ): with lock: indices = [full_queue.get() for _ in range(batch_size)] batch = { key: torch.stack([buffers[key][m] for m in indices], dim=1) ...
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import logging import traceback import numpy as np import torch def create_buffers( T, num_buffers, state_shape, action_shape, device_iterator, ): buffers = {} for device in device_iterator: buffers[device] = [] for player_id in range(len(state_shape)): specs = d...
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import logging import traceback import numpy as np import torch def create_optimizers( num_players, learning_rate, momentum, epsilon, alpha, learner_model ): optimizers = [] for player_id in range(num_players): optimizer = torch.optim.RMSprop( learner_model.parameter...
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import logging import traceback import numpy as np import torch log = logging.getLogger('doudzero') log.propagate = False log.addHandler(shandle) log.setLevel(logging.INFO) def act( i, device, T, free_queue, full_queue, model, buffers, env ): try: log.info('Device %s Actor %...
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import os import threading import time import timeit import pprint from collections import deque import torch from torch import multiprocessing as mp from torch import nn from .file_writer import FileWriter from .model import DMCModel from .pettingzoo_model import DMCModelPettingZoo from .utils import ( get_batch, ...
Performs a learning (optimization) step.
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import traceback import numpy as np import torch from .utils import log from rlcard.utils import run_game_pettingzoo def create_buffers_pettingzoo( T, num_buffers, env, device_iterator, ): buffers = {} for device in device_iterator: buffers[device] = [] for agent_name in env.age...
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import traceback import numpy as np import torch from .utils import log from rlcard.utils import run_game_pettingzoo def _get_action_feature(action, action_space): out = np.zeros(action_space) out[action] = 1 return out log = logging.getLogger('doudzero') log.propagate = False log.addHandler(shandle) log.s...
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import numpy as np from rlcard.games.mahjong.card import MahjongCard as Card for _type in ['bamboo', 'characters', 'dots']: for _trait in ['1', '2', '3', '4', '5', '6', '7', '8', '9']: card = _type+"-"+_trait card_encoding_dict[card] = num num += 1 for _trait in ['green', 'red', 'white']: ...
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import numpy as np from rlcard.games.mahjong.card import MahjongCard as Card def pile2list(pile): cards_list = [] for each in pile: cards_list.extend(each) return cards_list
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import numpy as np from rlcard.games.mahjong.card import MahjongCard as Card card_encoding_dict = {} num = 0 card_encoding_dict['pong'] = num card_encoding_dict['chow'] = num + 1 card_encoding_dict['gong'] = num + 2 card_encoding_dict['stand'] = num + 3 def cards2list(cards): cards_list = [] for each in cards: ...
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from typing import List import numpy as np from .bridge_card import BridgeCard class BridgeCard(Card): def card(card_id: int): def get_deck() -> [Card]: def __init__(self, suit: str, rank: str): def __str__(self): def __repr__(self): def encode_cards(cards: List[BridgeCard]) -> np.ndarray: #...
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import os import json import numpy as np from collections import OrderedDict import rlcard from rlcard.games.uno.card import UnoCard as Card The provided code snippet includes necessary dependencies for implementing the `init_deck` function. Write a Python function `def init_deck()` to solve the following problem: Gen...
Generate uno deck of 108 cards
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import os import json import numpy as np from collections import OrderedDict import rlcard from rlcard.games.uno.card import UnoCard as Card The provided code snippet includes necessary dependencies for implementing the `cards2list` function. Write a Python function `def cards2list(cards)` to solve the following probl...
Get the corresponding string representation of cards Args: cards (list): list of UnoCards objects Returns: (string): string representation of cards
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import os import json import numpy as np from collections import OrderedDict import rlcard from rlcard.games.uno.card import UnoCard as Card COLOR_MAP = {'r': 0, 'g': 1, 'b': 2, 'y': 3} TRAIT_MAP = {'0': 0, '1': 1, '2': 2, '3': 3, '4': 4, '5': 5, '6': 6, '7': 7, '8': 8, '9': 9, 'skip': 10, 'reverse': 11, '...
Encode hand and represerve it into plane Args: plane (array): 3*4*15 numpy array hand (list): list of string of hand's card Returns: (array): 3*4*15 numpy array
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import os import json import numpy as np from collections import OrderedDict import rlcard from rlcard.games.uno.card import UnoCard as Card COLOR_MAP = {'r': 0, 'g': 1, 'b': 2, 'y': 3} TRAIT_MAP = {'0': 0, '1': 1, '2': 2, '3': 3, '4': 4, '5': 5, '6': 6, '7': 7, '8': 8, '9': 9, 'skip': 10, 'reverse': 11, '...
Encode target and represerve it into plane Args: plane (array): 1*4*15 numpy array target(str): string of target card Returns: (array): 1*4*15 numpy array
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from typing import TYPE_CHECKING from typing import List, Tuple from .utils.action_event import * from .utils.scorers import GinRummyScorer from .utils import melding from .utils.gin_rummy_error import GinRummyProgramError from rlcard.games.gin_rummy.utils import utils def _get_going_out_cards(meld_clusters: List[List[...
:param hand: List[Card] -- must have 11 cards :param going_out_deadwood_count: int :return List[Card], List[Card: cards in hand that be knocked, cards in hand that can be ginned
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from typing import List from rlcard.games.base import Card from rlcard.games.gin_rummy.utils import utils from rlcard.games.gin_rummy.utils.gin_rummy_error import GinRummyProgramError class Card: ''' Card stores the suit and rank of a single card Note: The suit variable in a standard card game sho...
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from typing import List, Iterable import numpy as np from rlcard.games.base import Card from .gin_rummy_error import GinRummyProgramError class Card: ''' Card stores the suit and rank of a single card Note: The suit variable in a standard card game should be one of [S, H, D, C, BJ, RJ] meaning [Sp...
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from typing import List, Iterable import numpy as np from rlcard.games.base import Card from .gin_rummy_error import GinRummyProgramError _deck = [card_from_card_id(card_id) for card_id in range(52)] class Card: ''' Card stores the suit and rank of a single card Note: The suit variable in a standa...
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from typing import List, Iterable import numpy as np from rlcard.games.base import Card from .gin_rummy_error import GinRummyProgramError _deck = [card_from_card_id(card_id) for card_id in range(52)] class Card: ''' Card stores the suit and rank of a single card Note: The suit variable in a standa...
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from typing import List, Iterable import numpy as np from rlcard.games.base import Card from .gin_rummy_error import GinRummyProgramError def get_card_id(card: Card) -> int: class Card: def __init__(self, suit, rank): def __eq__(self, other): def __hash__(self): def __str__(self): def get_inde...
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from typing import TYPE_CHECKING from typing import Callable from .action_event import * from ..player import GinRummyPlayer from .move import ScoreNorthMove, ScoreSouthMove from .gin_rummy_error import GinRummyProgramError from rlcard.games.gin_rummy.utils import melding from rlcard.games.gin_rummy.utils import utils ...
Get the payoff of player: a) 1.0 if player gins b) 0.2 if player knocks c) -deadwood_count / 100 otherwise Returns: payoff (int or float): payoff for player (higher is better)
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import os import json from collections import OrderedDict import threading import collections import rlcard CARD_RANK_STR = ['3', '4', '5', '6', '7', '8', '9', 'T', 'J', 'Q', 'K', 'A', '2', 'B', 'R'] The provided code snippet includes necessary dependencies for implementing the `doudizhu_sort_str` fun...
Compare the rank of two cards of str representation Args: card_1 (str): str representation of solo card card_2 (str): str representation of solo card Returns: int: 1(card_1 > card_2) / 0(card_1 = card2) / -1(card_1 < card_2)
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import os import json from collections import OrderedDict import threading import collections import rlcard CARD_RANK = ['3', '4', '5', '6', '7', '8', '9', 'T', 'J', 'Q', 'K', 'A', '2', 'BJ', 'RJ'] The provided code snippet includes necessary dependencies for implementing the `doudizhu_sort_card` function...
Compare the rank of two cards of Card object Args: card_1 (object): object of Card card_2 (object): object of card
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import os import json from collections import OrderedDict import threading import collections import rlcard The provided code snippet includes necessary dependencies for implementing the `get_landlord_score` function. Write a Python function `def get_landlord_score(current_hand)` to solve the following problem: Roughl...
Roughly judge the quality of the hand, and provide a score as basis to bid landlord. Args: current_hand (str): string of cards. Eg: '56888TTQKKKAA222R' Returns: int: score
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import os import json from collections import OrderedDict import threading import collections import rlcard The provided code snippet includes necessary dependencies for implementing the `cards2str_with_suit` function. Write a Python function `def cards2str_with_suit(cards)` to solve the following problem: Get the cor...
Get the corresponding string representation of cards with suit Args: cards (list): list of Card objects Returns: string: string representation of cards
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import os import json from collections import OrderedDict import threading import collections import rlcard CARD_RANK_STR = ['3', '4', '5', '6', '7', '8', '9', 'T', 'J', 'Q', 'K', 'A', '2', 'B', 'R'] The provided code snippet includes necessary dependencies for implementing the `encode_cards` function...
Encode cards and represerve it into plane. Args: cards (list or str): list or str of cards, every entry is a character of solo representation of card
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import os import json from collections import OrderedDict import threading import collections import rlcard def cards2str(cards): ''' Get the corresponding string representation of cards Args: cards (list): list of Card objects Returns: string: string representation of cards ''' resp...
Provide player's cards which are greater than the ones played by previous player in one round Args: player (DoudizhuPlayer object): the player waiting to play cards greater_player (DoudizhuPlayer object): the player who played current biggest cards. Returns: list: list of string of greater cards Note: 1. return value c...
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import numpy as np class Hand: def __init__(self, all_cards): self.all_cards = all_cards # two hand cards + five public cards self.category = 0 #type of a players' best five cards, greater combination has higher number eg: 0:"Not_Yet_Evaluated" 1: "High_Card" , 9:"Straight_Flush" sel...
Compare all palyer's all seven cards Args: hands(list): cards of those players with same highest hand_catagory. e.g. hands = [['CT', 'ST', 'H9', 'B9', 'C2', 'C8', 'C7'], ['CJ', 'SJ', 'H9', 'B9', 'C2', 'C8', 'C7'], ['CT', 'ST', 'H9', 'B9', 'C2', 'C8', 'C7']] Returns: [0, 1, 0]: player1 wins [1, 0, 0]: player0 wins [1, 1...
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import importlib registry = EnvRegistry() The provided code snippet includes necessary dependencies for implementing the `register` function. Write a Python function `def register(env_id, entry_point)` to solve the following problem: Register an environment Args: env_id (string): The name of the environent entry_point...
Register an environment Args: env_id (string): The name of the environent entry_point (string): A string the indicates the location of the envronment class
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import importlib DEFAULT_CONFIG = { 'allow_step_back': False, 'seed': None, } registry = EnvRegistry() The provided code snippet includes necessary dependencies for implementing the `make` function. Write a Python function `def make(env_id, config={})` to solve the following problem: Create and...
Create and environment instance Args: env_id (string): The name of the environment config (dict): A dictionary of the environment settings env_num (int): The number of environments
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import numpy as np from collections import OrderedDict from rlcard.envs import Env from rlcard.games.blackjack import Game rank2score = {"A":11, "2":2, "3":3, "4":4, "5":5, "6":6, "7":7, "8":8, "9":9, "T":10, "J":10, "Q":10, "K":10} def get_score(hand): score = 0 count_a = 0 for card in hand: score...
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from collections import Counter, OrderedDict import numpy as np from rlcard.envs import Env def _get_one_hot_array(num_left_cards, max_num_cards): one_hot = np.zeros(max_num_cards, dtype=np.int8) one_hot[num_left_cards - 1] = 1 return one_hot
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from collections import Counter, OrderedDict import numpy as np from rlcard.envs import Env def _cards2array(cards): if cards == 'pass': return np.zeros(54, dtype=np.int8) matrix = np.zeros([4, 13], dtype=np.int8) jokers = np.zeros(2, dtype=np.int8) counter = Counter(cards) for card, num_tim...
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from collections import Counter, OrderedDict import numpy as np from rlcard.envs import Env def _process_action_seq(sequence, length=9): sequence = [action[1] for action in sequence[-length:]] if len(sequence) < length: empty_sequence = ['' for _ in range(length - len(sequence))] empty_sequence...
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import importlib model_registry = ModelRegistry() The provided code snippet includes necessary dependencies for implementing the `register` function. Write a Python function `def register(model_id, entry_point)` to solve the following problem: Register a model Args: model_id (string): the name of the model entry_point...
Register a model Args: model_id (string): the name of the model entry_point (string): a string the indicates the location of the model class
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import importlib model_registry = ModelRegistry() The provided code snippet includes necessary dependencies for implementing the `load` function. Write a Python function `def load(model_id)` to solve the following problem: Create and model instance Args: model_id (string): the name of the model Here is the function: ...
Create and model instance Args: model_id (string): the name of the model
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import numpy as np from rlcard.games.base import Card def set_seed(seed): if seed is not None: import subprocess import sys reqs = subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']) installed_packages = [r.decode().split('==')[0] for r in reqs.split()] if 'tor...
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import numpy as np from rlcard.games.base import Card def get_device(): import torch if torch.backends.mps.is_available(): device = torch.device("mps:0") print("--> Running on the GPU") elif torch.cuda.is_available(): device = torch.device("cuda:0") print("--> Running on the...
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import numpy as np from rlcard.games.base import Card class Card: ''' Card stores the suit and rank of a single card Note: The suit variable in a standard card game should be one of [S, H, D, C, BJ, RJ] meaning [Spades, Hearts, Diamonds, Clubs, Black Joker, Red Joker] Similarly the rank va...
Initialize a standard deck of 52 cards Returns: (list): A list of Card object
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import numpy as np from rlcard.games.base import Card class Card: ''' Card stores the suit and rank of a single card Note: The suit variable in a standard card game should be one of [S, H, D, C, BJ, RJ] meaning [Spades, Hearts, Diamonds, Clubs, Black Joker, Red Joker] Similarly the rank va...
Initialize a standard deck of 52 cards, BJ and RJ Returns: (list): Alist of Card object
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import numpy as np from rlcard.games.base import Card The provided code snippet includes necessary dependencies for implementing the `rank2int` function. Write a Python function `def rank2int(rank)` to solve the following problem: Get the coresponding number of a rank. Args: rank(str): rank stored in Card object Retur...
Get the coresponding number of a rank. Args: rank(str): rank stored in Card object Returns: (int): the number corresponding to the rank Note: 1. If the input rank is an empty string, the function will return -1. 2. If the input rank is not valid, the function will return None.
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import numpy as np from rlcard.games.base import Card The provided code snippet includes necessary dependencies for implementing the `reorganize` function. Write a Python function `def reorganize(trajectories, payoffs)` to solve the following problem: Reorganize the trajectory to make it RL friendly Args: trajectory (...
Reorganize the trajectory to make it RL friendly Args: trajectory (list): A list of trajectories payoffs (list): A list of payoffs for the players. Each entry corresponds to one player Returns: (list): A new trajectories that can be fed into RL algorithms.
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import numpy as np from rlcard.games.base import Card The provided code snippet includes necessary dependencies for implementing the `remove_illegal` function. Write a Python function `def remove_illegal(action_probs, legal_actions)` to solve the following problem: Remove illegal actions and normalize the probability ...
Remove illegal actions and normalize the probability vector Args: action_probs (numpy.array): A 1 dimention numpy array. legal_actions (list): A list of indices of legal actions. Returns: probd (numpy.array): A normalized vector without legal actions.
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import numpy as np from rlcard.games.base import Card The provided code snippet includes necessary dependencies for implementing the `tournament` function. Write a Python function `def tournament(env, num)` to solve the following problem: Evaluate he performance of the agents in the environment Args: env (Env class): ...
Evaluate he performance of the agents in the environment Args: env (Env class): The environment to be evaluated. num (int): The number of games to play. Returns: A list of avrage payoffs for each player
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import numpy as np from rlcard.games.base import Card import os if not os.path.isfile(os.path.join(ROOT_PATH, 'games/doudizhu/jsondata/action_space.txt')) \ or not os.path.isfile(os.path.join(ROOT_PATH, 'games/doudizhu/jsondata/card_type.json')) \ or not os.path.isfile(os.path.join(ROOT_PATH, 'games...
Read data from csv file and plot the results
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import hashlib import numpy as np import os import struct def error(msg, *args): print(colorize('%s: %s'%('ERROR', msg % args), 'red')) def hash_seed(seed=None, max_bytes=8): """Any given evaluation is likely to have many PRNG's active at once. (Most commonly, because the environment is running in multi...
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from collections import defaultdict import numpy as np def wrap_state(state): # check if obs is already wrapped if "obs" in state and "legal_actions" in state and "raw_legal_actions" in state: return state wrapped_state = {} wrapped_state["obs"] = state["observation"] legal_actions = np.fl...
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from collections import defaultdict import numpy as np def run_game_pettingzoo(env, agents, is_training=False): env.reset() trajectories = defaultdict(list) for agent_name in env.agent_iter(): obs, reward, done, _, _ = env.last() trajectories[agent_name].append((obs, reward, done)) i...
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import os import sys import asyncio from multiprocessing import Process, Manager from platform import system import websockets from config import ServerConfig as Config from util.server_cosmic import Cosmic, console from util.server_check_model import check_model from util.server_ws_recv import ws_recv from util.server...
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import os import sys import asyncio import signal from pathlib import Path from platform import system from typing import List import typer import colorama import keyboard from config import ClientConfig as Config from util.client_cosmic import console, Cosmic from util.client_stream import stream_open, stream_close fr...
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import os import sys import asyncio import signal from pathlib import Path from platform import system from typing import List import typer import colorama import keyboard from config import ClientConfig as Config from util.client_cosmic import console, Cosmic from util.client_stream import stream_open, stream_close fr...
用 CapsWriter Server 转录音视频文件,生成 srt 字幕
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import argparse import asyncio import logging import wave import subprocess from typing import List, Tuple import shlex import json import time import numpy as np def get_args(): parser = argparse.ArgumentParser( formatter_class=argparse.ArgumentDefaultsHelpFormatter ) parser.add_argument( ...
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import argparse import asyncio import logging import wave import subprocess from typing import List, Tuple import shlex import json import time try: import websockets except ImportError: print("please run:") print("") print(" pip install websockets") print("") print("before you run this script...
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import sys from pathlib import Path from typing import Dict import yaml def write_tokens(tokens: Dict[int, str]): with open("tokens.txt", "w", encoding="utf-8") as f: for idx, s in enumerate(tokens): f.write(f"{s} {idx}\n")
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import json from datetime import timedelta from pathlib import Path import typer import srt from rich import print def lines_match_words(text_lines: list[str], words: list[dict[str, str | float]]) -> list[srt.Subtitle]: def get_words(json_file: Path) -> list[dict[str, str | float]]: def get_lines(txt_file: Path) -> lis...
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from pathlib import Path from typing import Dict import numpy as np import onnx import yaml def load_cmvn(): neg_mean = None inv_stddev = None with open("am.mvn", encoding="utf-8") as f: for line in f: if not line.startswith("<LearnRateCoef>"): continue t = ...
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from pathlib import Path from typing import Dict import numpy as np import onnx import yaml def load_lfr_params(config): with open("config.yaml", encoding="utf-8") as f: for line in f: if "lfr_m" in line: lfr_m = int(line.split()[-1]) elif "lfr_n" in line: ...
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from pathlib import Path from typing import Dict import numpy as np import onnx import yaml The provided code snippet includes necessary dependencies for implementing the `add_meta_data` function. Write a Python function `def add_meta_data(filename: str, meta_data: Dict[str, str])` to solve the following problem: Add ...
Add meta data to an ONNX model. It is changed in-place. Args: filename: Filename of the ONNX model to be changed. meta_data: Key-value pairs.
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import argparse import shutil import subprocess import sys import json import time import re from dataclasses import dataclass from datetime import timedelta from pathlib import Path from copy import copy import numpy as np import sherpa_onnx def get_args(): parser = argparse.ArgumentParser( formatter_clas...
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import argparse import shutil import subprocess import sys import json import time import re from dataclasses import dataclass from datetime import timedelta from pathlib import Path from copy import copy import numpy as np import sherpa_onnx def assert_file_exists(filename: str): assert Path(filename).is_file(), (...
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import json import base64 import asyncio from multiprocessing import Queue from util.server_cosmic import console, Cosmic from util.server_classes import Result from util.asyncio_to_thread import to_thread from rich import inspect console = Console(highlight=False) class Cosmic: class Result: def __init__...
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from importlib.util import find_spece import os import sys from os import remove from pathlib import Path from typing import List from pprint import pprint from urllib.parse import unquote from markdown_it import MarkdownIt from markdown_it.token import Token from rich.console import Console markdown_ext = ['md', 'mark...
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from importlib.util import find_spece import os import sys from os import remove from pathlib import Path from typing import List from pprint import pprint from urllib.parse import unquote from markdown_it import MarkdownIt from markdown_it.token import Token from rich.console import Console def get_links(text: str): ...
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from importlib.util import find_spece import os import sys from os import remove from pathlib import Path from typing import List from pprint import pprint from urllib.parse import unquote from markdown_it import MarkdownIt from markdown_it.token import Token from rich.console import Console def absolutify_links(file,...
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import sys from pathlib import Path from config import ModelPaths from util.server_cosmic import console # 输出时是否将中文数字转为阿拉伯数字 # 输出时是否启用标点符号引擎 # 输出时是否调整中英之间的空格 # Server 地址 # Server 端口 # 控制录音的快捷键,默认是 CapsLock # 长按模式,按下录音,松开停止,像对讲机一样用。 ...
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import json import time import base64 import asyncio import websockets from base64 import b64decode from util.server_cosmic import console, Cosmic from util.server_classes import Task, Result from util.my_status import Status status_mic = Status('正在接收音频', spinner='point') class Cache: # 定义一个可变对象,用于保存音频数据、偏移时间 ...
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import time import sherpa_onnx from multiprocessing import Queue import signal from platform import system from config import ServerConfig as Config from config import ParaformerArgs, ModelPaths from util.server_cosmic import console from util.server_recognize import recognize from util.empty_working_set import empty_c...
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import os import sys import glob import platform import shutil from setuptools import find_packages from setuptools import setup, Extension from setuptools.command.build_ext import build_ext The provided code snippet includes necessary dependencies for implementing the `copy_compiled_libs` function. Write a Python fun...
Copy compiled libraries to the destination directory.
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import os import sys import glob import platform import shutil from setuptools import find_packages from setuptools import setup, Extension from setuptools.command.build_ext import build_ext The provided code snippet includes necessary dependencies for implementing the `copy_fonts` function. Write a Python function `d...
Copy fonts to the destination directory.
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import os import sys import glob import platform import shutil from setuptools import find_packages from setuptools import setup, Extension from setuptools.command.build_ext import build_ext The provided code snippet includes necessary dependencies for implementing the `process_develop_setup` function. Write a Python ...
Clean up (if necessary) some directories before or after running setup in development (a.k.a. editable) mode (`pip install -e .`).
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from . import * def build_scenario(builder): builder.config().game_duration = 400 builder.config().deterministic = False builder.config().offsides = False builder.config().end_episode_on_score = True builder.config().end_episode_on_out_of_play = True builder.config().end_episode_on_possession_change = True...
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from . import * def build_scenario(builder): builder.config().game_duration = 3000 builder.config().second_half = 1500 builder.config().right_team_difficulty = 1.0 builder.config().left_team_difficulty = 1.0 builder.config().deterministic = False if builder.EpisodeNumber() % 2 == 0: first_team = Team.e...
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from . import * def build_scenario(builder): builder.config().game_duration = 400 builder.config().deterministic = False builder.config().offsides = False builder.config().end_episode_on_score = True builder.config().end_episode_on_out_of_play = True builder.config().end_episode_on_possession_change = True...
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from . import * def build_scenario(builder): builder.config().game_duration = 400 builder.config().deterministic = False builder.config().offsides = False builder.config().end_episode_on_score = True builder.config().end_episode_on_out_of_play = True builder.config().end_episode_on_possession_change = True...
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from . import * def build_scenario(builder): builder.config().game_duration = 400 builder.config().deterministic = False builder.config().offsides = False builder.config().end_episode_on_score = True builder.config().end_episode_on_out_of_play = True builder.config().end_episode_on_possession_change = True...
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from . import * def build_scenario(builder): builder.config().game_duration = 500 builder.config().right_team_difficulty = 0.0 builder.config().left_team_difficulty = 0.0 builder.config().deterministic = False if builder.EpisodeNumber() % 2 == 0: first_team = Team.e_Left second_team = Team.e_Right ...
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from . import * def build_scenario(builder): builder.config().game_duration = 400 builder.config().deterministic = False builder.config().offsides = False builder.config().end_episode_on_score = True builder.config().end_episode_on_out_of_play = True builder.config().end_episode_on_possession_change = True...
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from . import * def build_scenario(builder): builder.config().game_duration = 3000 builder.config().right_team_difficulty = 0.05 builder.config().deterministic = False if builder.EpisodeNumber() % 2 == 0: first_team = Team.e_Left second_team = Team.e_Right else: first_team = Team.e_Right seco...
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from . import * def build_scenario(builder): builder.config().game_duration = 400 builder.config().deterministic = False builder.config().offsides = False builder.config().end_episode_on_score = True builder.config().end_episode_on_out_of_play = True builder.config().end_episode_on_possession_change = True...
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from . import * def build_scenario(builder): builder.config().game_duration = 400 builder.config().deterministic = False builder.config().offsides = False builder.config().end_episode_on_score = True builder.config().end_episode_on_out_of_play = True builder.config().end_episode_on_possession_change = Fals...
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from . import * def build_scenario(builder): builder.config().game_duration = 400 builder.config().deterministic = False builder.config().offsides = False builder.config().end_episode_on_score = True builder.config().end_episode_on_out_of_play = True builder.config().end_episode_on_possession_change = True...
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