import random

import game_stats_tree
from move_chooser import MoveChooser

class BestKnownMoveChooser(MoveChooser):

  def __init__(self, game_stats_tree, exploitation_rate=1.0, verbose=False,
               heuristic_move_chooser=None):
    self.game_stats_tree = game_stats_tree
    self.current_node = game_stats_tree
    self.exploitation_rate = exploitation_rate
    self.verbose = verbose
    self.heuristic_move_chooser = heuristic_move_chooser

  def restart(self):
    self.current_node = self.game_stats_tree

  def request_move(self, current_player, grid, possible_moves):
    heuristic_move = self.get_heuristic_move(current_player, grid, possible_moves)
    if heuristic_move is not None:
      return heuristic_move
    choose_random = random.random() > self.exploitation_rate
    if choose_random or \
         self.current_node is None or \
         len(self.current_node.children) == 0:
      if self.verbose:
        print("Selecting randomly")
      return random.choice(possible_moves)
    else:
      scored_moves = self.score_moves(current_player, self.current_node)
      selected_move = self.select_move(scored_moves)
      if self.verbose:
        data = [
          "%i: %.0f%% (%i)" % (move, score * 100, total)
          for move, score, total in scored_moves
        ]
        print("Selected %s" % selected_move)
        print("Move stats: (total %i)" %
          game_stats_tree.get_num_plays_from_node(self.current_node))
        print("%s" % " ".join(data))
      return selected_move

  def report_move(self, move):
    if self.current_node is not None and \
        move in self.current_node.children:
      self.current_node = self.current_node.children[move]
    else:
      self.current_node = None

  def get_heuristic_move(self, current_player, grid, possible_moves):
    if self.heuristic_move_chooser:
      heuristic_move = self.heuristic_move_chooser(current_player, grid, possible_moves)
      if heuristic_move is not None and heuristic_move in possible_moves:
        if self.verbose:
          print("Selecting heuristicly: %i" % heuristic_move)
        return heuristic_move
    return None

  def score_moves(self, current_player, current_node):
    move_scores = []
    for move, child in current_node.children.items():
      num_wins = child.win_counts.get(current_player, 0)
      move_scores.append((move, num_wins / child.play_counts, child.play_counts))
    return move_scores

  def select_move(self, scored_moves):
    scored_moves = list(scored_moves)
    scored_moves.sort(key=lambda pair: pair[1])
    return scored_moves[-1][0]
294ee5b15a465f225c21b422ed2e5073447ed6e0
<mask token>


class BestKnownMoveChooser(MoveChooser):

    def __init__(self, game_stats_tree, exploitation_rate=1.0, verbose=
        False, heuristic_move_chooser=None):
        self.game_stats_tree = game_stats_tree
        self.current_node = game_stats_tree
        self.exploitation_rate = exploitation_rate
        self.verbose = verbose
        self.heuristic_move_chooser = heuristic_move_chooser

    def restart(self):
        self.current_node = self.game_stats_tree
    <mask token>

    def report_move(self, move):
        if (self.current_node is not None and move in self.current_node.
            children):
            self.current_node = self.current_node.children[move]
        else:
            self.current_node = None

    def get_heuristic_move(self, current_player, grid, possible_moves):
        if self.heuristic_move_chooser:
            heuristic_move = self.heuristic_move_chooser(current_player,
                grid, possible_moves)
            if heuristic_move is not None and heuristic_move in possible_moves:
                if self.verbose:
                    print('Selecting heuristicly: %i' % heuristic_move)
                return heuristic_move
        return None
    <mask token>
    <mask token>

<mask token>


class BestKnownMoveChooser(MoveChooser):

    def __init__(self, game_stats_tree, exploitation_rate=1.0, verbose=
        False, heuristic_move_chooser=None):
        self.game_stats_tree = game_stats_tree
        self.current_node = game_stats_tree
        self.exploitation_rate = exploitation_rate
        self.verbose = verbose
        self.heuristic_move_chooser = heuristic_move_chooser

    def restart(self):
        self.current_node = self.game_stats_tree
    <mask token>

    def report_move(self, move):
        if (self.current_node is not None and move in self.current_node.
            children):
            self.current_node = self.current_node.children[move]
        else:
            self.current_node = None

    def get_heuristic_move(self, current_player, grid, possible_moves):
        if self.heuristic_move_chooser:
            heuristic_move = self.heuristic_move_chooser(current_player,
                grid, possible_moves)
            if heuristic_move is not None and heuristic_move in possible_moves:
                if self.verbose:
                    print('Selecting heuristicly: %i' % heuristic_move)
                return heuristic_move
        return None
    <mask token>

    def select_move(self, scored_moves):
        scored_moves = list(scored_moves)
        scored_moves.sort(key=lambda pair: pair[1])
        return scored_moves[-1][0]

<mask token>


class BestKnownMoveChooser(MoveChooser):

    def __init__(self, game_stats_tree, exploitation_rate=1.0, verbose=
        False, heuristic_move_chooser=None):
        self.game_stats_tree = game_stats_tree
        self.current_node = game_stats_tree
        self.exploitation_rate = exploitation_rate
        self.verbose = verbose
        self.heuristic_move_chooser = heuristic_move_chooser

    def restart(self):
        self.current_node = self.game_stats_tree

    def request_move(self, current_player, grid, possible_moves):
        heuristic_move = self.get_heuristic_move(current_player, grid,
            possible_moves)
        if heuristic_move is not None:
            return heuristic_move
        choose_random = random.random() > self.exploitation_rate
        if choose_random or self.current_node is None or len(self.
            current_node.children) == 0:
            if self.verbose:
                print('Selecting randomly')
            return random.choice(possible_moves)
        else:
            scored_moves = self.score_moves(current_player, self.current_node)
            selected_move = self.select_move(scored_moves)
            if self.verbose:
                data = [('%i: %.0f%% (%i)' % (move, score * 100, total)) for
                    move, score, total in scored_moves]
                print('Selected %s' % selected_move)
                print('Move stats: (total %i)' % game_stats_tree.
                    get_num_plays_from_node(self.current_node))
                print('%s' % ' '.join(data))
            return selected_move

    def report_move(self, move):
        if (self.current_node is not None and move in self.current_node.
            children):
            self.current_node = self.current_node.children[move]
        else:
            self.current_node = None

    def get_heuristic_move(self, current_player, grid, possible_moves):
        if self.heuristic_move_chooser:
            heuristic_move = self.heuristic_move_chooser(current_player,
                grid, possible_moves)
            if heuristic_move is not None and heuristic_move in possible_moves:
                if self.verbose:
                    print('Selecting heuristicly: %i' % heuristic_move)
                return heuristic_move
        return None
    <mask token>

    def select_move(self, scored_moves):
        scored_moves = list(scored_moves)
        scored_moves.sort(key=lambda pair: pair[1])
        return scored_moves[-1][0]

<mask token>


class BestKnownMoveChooser(MoveChooser):

    def __init__(self, game_stats_tree, exploitation_rate=1.0, verbose=
        False, heuristic_move_chooser=None):
        self.game_stats_tree = game_stats_tree
        self.current_node = game_stats_tree
        self.exploitation_rate = exploitation_rate
        self.verbose = verbose
        self.heuristic_move_chooser = heuristic_move_chooser

    def restart(self):
        self.current_node = self.game_stats_tree

    def request_move(self, current_player, grid, possible_moves):
        heuristic_move = self.get_heuristic_move(current_player, grid,
            possible_moves)
        if heuristic_move is not None:
            return heuristic_move
        choose_random = random.random() > self.exploitation_rate
        if choose_random or self.current_node is None or len(self.
            current_node.children) == 0:
            if self.verbose:
                print('Selecting randomly')
            return random.choice(possible_moves)
        else:
            scored_moves = self.score_moves(current_player, self.current_node)
            selected_move = self.select_move(scored_moves)
            if self.verbose:
                data = [('%i: %.0f%% (%i)' % (move, score * 100, total)) for
                    move, score, total in scored_moves]
                print('Selected %s' % selected_move)
                print('Move stats: (total %i)' % game_stats_tree.
                    get_num_plays_from_node(self.current_node))
                print('%s' % ' '.join(data))
            return selected_move

    def report_move(self, move):
        if (self.current_node is not None and move in self.current_node.
            children):
            self.current_node = self.current_node.children[move]
        else:
            self.current_node = None

    def get_heuristic_move(self, current_player, grid, possible_moves):
        if self.heuristic_move_chooser:
            heuristic_move = self.heuristic_move_chooser(current_player,
                grid, possible_moves)
            if heuristic_move is not None and heuristic_move in possible_moves:
                if self.verbose:
                    print('Selecting heuristicly: %i' % heuristic_move)
                return heuristic_move
        return None

    def score_moves(self, current_player, current_node):
        move_scores = []
        for move, child in current_node.children.items():
            num_wins = child.win_counts.get(current_player, 0)
            move_scores.append((move, num_wins / child.play_counts, child.
                play_counts))
        return move_scores

    def select_move(self, scored_moves):
        scored_moves = list(scored_moves)
        scored_moves.sort(key=lambda pair: pair[1])
        return scored_moves[-1][0]

import random

import game_stats_tree
from move_chooser import MoveChooser

class BestKnownMoveChooser(MoveChooser):

  def __init__(self, game_stats_tree, exploitation_rate=1.0, verbose=False,
               heuristic_move_chooser=None):
    self.game_stats_tree = game_stats_tree
    self.current_node = game_stats_tree
    self.exploitation_rate = exploitation_rate
    self.verbose = verbose
    self.heuristic_move_chooser = heuristic_move_chooser

  def restart(self):
    self.current_node = self.game_stats_tree

  def request_move(self, current_player, grid, possible_moves):
    heuristic_move = self.get_heuristic_move(current_player, grid, possible_moves)
    if heuristic_move is not None:
      return heuristic_move
    choose_random = random.random() > self.exploitation_rate
    if choose_random or \
         self.current_node is None or \
         len(self.current_node.children) == 0:
      if self.verbose:
        print("Selecting randomly")
      return random.choice(possible_moves)
    else:
      scored_moves = self.score_moves(current_player, self.current_node)
      selected_move = self.select_move(scored_moves)
      if self.verbose:
        data = [
          "%i: %.0f%% (%i)" % (move, score * 100, total)
          for move, score, total in scored_moves
        ]
        print("Selected %s" % selected_move)
        print("Move stats: (total %i)" %
          game_stats_tree.get_num_plays_from_node(self.current_node))
        print("%s" % " ".join(data))
      return selected_move

  def report_move(self, move):
    if self.current_node is not None and \
        move in self.current_node.children:
      self.current_node = self.current_node.children[move]
    else:
      self.current_node = None

  def get_heuristic_move(self, current_player, grid, possible_moves):
    if self.heuristic_move_chooser:
      heuristic_move = self.heuristic_move_chooser(current_player, grid, possible_moves)
      if heuristic_move is not None and heuristic_move in possible_moves:
        if self.verbose:
          print("Selecting heuristicly: %i" % heuristic_move)
        return heuristic_move
    return None

  def score_moves(self, current_player, current_node):
    move_scores = []
    for move, child in current_node.children.items():
      num_wins = child.win_counts.get(current_player, 0)
      move_scores.append((move, num_wins / child.play_counts, child.play_counts))
    return move_scores

  def select_move(self, scored_moves):
    scored_moves = list(scored_moves)
    scored_moves.sort(key=lambda pair: pair[1])
    return scored_moves[-1][0]