How to use the chess.engine.Limit function in chess

To help you get started, we’ve selected a few chess examples, based on popular ways it is used in public projects.

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github nickzuber / chs / chs / engine / stockfish.py View on Github external
def score(self, board):
    try:
      info = self.engine.analyse(board, chess.engine.Limit(time=0.500))
      cp = chess.engine.PovScore(info['score'], chess.WHITE).pov(chess.WHITE).relative.score()
      return cp
    except chess.engine.EngineTerminatedError:
      return None
github jdart1 / arasan-chess / tools / analyze.py View on Github external
if (key == 'bm' or key == 'am'):
                     san_moves = []
                     for move in position.ops[key]:
                        try:
                           san_moves.append(position.board.san(move))
                        except:
                           print(key + " solution move " + str(i) + " could not be parsed",file=sys.stderr, flush=True)
                     i = i + 1
                     position.ops[key] = san_moves

               results.solution_time = 0
               results.solution_nodes = 0
               results.bestmove = None
               results.infos = {}
               with engine.analysis(board=position.board,
                                    limit=chess.engine.Limit(time=options.search_time),multipv=options.multi_pv_value) as analysis:
                  for info in analysis:
                     process_info(info,results)
               # print last group of results
               for i in range(1,options.multi_pv_value+1):
                   group = 0
                   infos = results.infos[i]
                   for key in ["depth","seldepth","multipv","score","nodes",
                               "nps","hashfull","tbhits","time","pv"]:
                       if key in infos:
                           if (group != 0):
                              print(" ",end="")
                           print(key + " ",end="")
                           if (key == "pv"):
                              fen = position.board.fen()
                              for m in infos[key]:
                                  san = position.board.san(m)
github niklasf / python-chess / chess / engine.py View on Github external
def _readyok(self, engine: UciProtocol) -> None:
                self.sent_isready = False
                engine._position(board)

                if limit:
                    engine._go(limit, root_moves=root_moves)
                else:
                    engine._go(Limit(), root_moves=root_moves, infinite=True)

                self.result.set_result(self.analysis)
github fsmosca / Python-Easy-Chess-GUI / python_easy_chess_gui.py View on Github external
# If we use "go infinite" we stop the search by time and depth
                        if not is_time_check and \
                            time.time() - start_thinking_time >= self.max_time:
                            logging.info('Max time limit is reached.')
                            is_time_check = True
                            break
                            
                        if 'depth' in info:
                            if int(info['depth']) >= self.max_depth:
                                logging.info('Max depth limit is reached.')
                                break                        
                    except:
                        logging.info('Error in parsing engine search info')
        else:
            start_thinking_time = time.time()
            result = self.engine.play(self.board, chess.engine.Limit(time=self.max_time,
                                                           depth=self.max_depth))
            self.bm = result.move
            
        # Apply engine move delay
        while True:
            if time.time() - start_thinking_time >= self.move_delay_sec:
                break
            logging.info('Delay sending of best move')
            time.sleep(0.25)

        self.eng_queue.put('bestmove {}' .format(self.bm))
        logging.info('bestmove {}'.format(self.bm))
github FTdiscovery / 64CrazyhouseDeepLearning / MCTSCrazyhouse.py View on Github external
def isThereMate(board, moves, engine):
    info = engine.analyse(board.board, chess.engine.Limit(time=0.005))
    if str(info["score"])[0] == "#":
        #print("mate found")
        move = str(info["pv"][0])
        # find where this move is in the possible actions
        for i in range(len(moves)):
            if moves[i] == move:
                #print("found index")
                return i
        #print("found mate but not index")
    return None
github Harmon758 / Harmonbot / Discord / modules / chess.py View on Github external
async def match_task(self):
		self.match_message = await self.ctx.embed_send("Loading..")
		await self.update_match_embed()
		while True:
			player = [self.black_player, self.white_player][int(self.turn)]
			embed = self.match_message.embeds[0]
			if player == self.bot.user:
				await self.match_message.edit(embed = embed.set_footer(text = "I'm thinking.."))
				result = await self.chess_engine.play(self, chess.engine.Limit(time = 2))
				self.push(result.move)
				await self.update_match_embed(footer_text = f"I moved {result.move}")
			else:
				message = await self.bot.wait_for("message", 
													check = lambda msg: msg.author == player and 
																		msg.channel == self.ctx.channel and 
																		self.valid_move(msg.content))
				await self.match_message.edit(embed = embed.set_footer(text = "Processing move.."))
				self.make_move(message.content)
				if self.is_game_over():
					footer_text = discord.Embed.Empty
				else:
					footer_text = f"It is {['black', 'white'][int(self.turn)]}'s ({[self.black_player, self.white_player][int(self.turn)]}'s) turn to move"
				await self.update_match_embed(footer_text = footer_text)
				await self.bot.attempt_delete_message(message)
github linrock / chess-puzzle-maker / puzzlemaker / analysis.py View on Github external
def _analyze(board, depth, **kwargs) -> Union[List[InfoDict], InfoDict]:
        try:
            info = AnalysisEngine.instance().analyse(board, Limit(depth=depth), **kwargs)
        except EngineTerminatedError:
            log(Color.RED, "Analysis engine crashed... restarting")
            AnalysisEngine.quit()
            info = AnalysisEngine._analyze(board, depth, **kwargs)
        return info

chess

A chess library with move generation and validation, Polyglot opening book probing, PGN reading and writing, Gaviota tablebase probing, Syzygy tablebase probing, and XBoard/UCI engine communication.

GPL-3.0
Latest version published 30 days ago

Package Health Score

82 / 100
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