Ejemplo n.º 1
0
def run_exercise(exercise):
    for i in range(exercise.repetition):
        for side in exercise.sides:
            player.pause()
            Coach.say(exercise.sentence(side=side))
            player.play()
            countdown(exercise.default_time)
Ejemplo n.º 2
0
 def __init__(self,
              key=False,
              secret=False,
              timeout=None,
              coach=True,
              jsonNums=False,
              proxies=None):
     """
     key = str api key supplied by Poloniex
     secret = str secret hash supplied by Poloniex
     timeout = int time in sec to wait for an api response
         (otherwise 'requests.exceptions.Timeout' is raised)
     coach = bool to indicate if the api coach should be used
     jsonNums = datatype to use when parsing json ints and floats
     # Time Placeholders: (MONTH == 30*DAYS)
     self.MINUTE, self.HOUR, self.DAY, self.WEEK, self.MONTH, self.YEAR
     """
     # set logger, coach, and proxies
     self.logger = logger
     self.coach = coach
     self.proxies = proxies
     if self.coach is True:
         self.coach = Coach()
     # create nonce
     self._nonce = int("{:.6f}".format(time()).replace('.', ''))
     # json number datatypes
     self.jsonNums = jsonNums
     # grab keys, set timeout
     self.key, self.secret, self.timeout = key, secret, timeout
     # set time labels
     self.MINUTE, self.HOUR, self.DAY = 60, 60 * 60, 60 * 60 * 24
     self.WEEK, self.MONTH = self.DAY * 7, self.DAY * 30
     self.YEAR = self.DAY * 365
Ejemplo n.º 3
0
def login_coach():
    coach = Coach()
    email = request.get_json()["email"]
    password = request.get_json()["password"]

    if len(password) < 8:
        return jsonify({"response": "short"})
    if not pyvalidator.email(email):
        return jsonify({"response": "invalid_email"})

    return coach.login_coach(email, password)
Ejemplo n.º 4
0
def add_player():
    coach = Coach()
    coach_username = request.form["coach_mail"]
    name = request.form["name"]
    dom_hand = request.form["dom_hand"]
    if 'image' not in request.files:
        return jsonify({"response": "no_photo"})

    image = request.files["image"]
    return coach.register_player_for_coach(name, dom_hand, coach_username,
                                           image, app)
Ejemplo n.º 5
0
def run_workout(workout, debug=False):
    player.next()
    for e in workout.workout_exercises:
        e.created_date = datetime.now()
        e.time_per_set = e.exercise.default_time
        e.repetition = e.exercise.repetition
        if not debug:
            run_exercise(e.exercise)
        else:
            logging.info("QA MODE: Running exercise: %s" % e.exercise)
            time.sleep(1)
    Coach.say('Workout finished')
Ejemplo n.º 6
0
class Team():
    "Team"
    def __init__(self, city, nickname,human=False,id=None):
        if id:
            self.id = id
        else:
            self.id = self.get_next_team_id()
        self.city = city
        self.nickname = nickname
        self.human_control = human
        self.skills = {'qb': float(randint(60,90)),
                       'rb': float(randint(60,90)),
                       'wr': float(randint(60,90)),
                       'ol': float(randint(60,90)),
                       'dl': float(randint(60,90)),
                       'lb': float(randint(60,90)),
                       'cb': float(randint(60,90)),
                       's': float(randint(60,90)),
                       'p': float(randint(60,90)),
                       'k': float(randint(60,90)),
                       'sp': float(randint(60,90))}
        
        self.home_field_advantage = float(randint(1,3))
        self.playbook = Playbook()
        self.stats = StatBook()
        self.coach = Coach()
        self.coach.practice_plays(self.playbook,self.skills)
        
        self.primary_color = (randint(0,255),randint(0,255),randint(0,255))
        self.secondary_color = (randint(0,255),randint(0,255),randint(0,255))
        
        self.league_stats = {
                            'overall' : self._new_record_stats(),
                            'home' : self._new_record_stats(),
                            'away' : self._new_record_stats(),
                            'win_opp' : [],
                            'loss_opp' : []
                            }
        
    def _new_record_stats(self):
        return {'wins': 0,
                'losses' : 0,
                'ties' : 0,
                'pct' : 0.0,
                'points' : 0,
                'opp' : 0}
        
    def get_next_team_id(self):
        global team_id
        team_id += 1
        return team_id 
Ejemplo n.º 7
0
    def __init__(self):
        self.objectList = []
        self.performance = 0
        ode.World.__init__(self)
        self.coach = Coach()
        self.camera = Camera(0.0, 14.0, 19.5, -30.0, 0.0)
        self.objectList.append(self.camera)
        self.setGravity((0.0, -9.81, 0.0))

        self.contactgroup = ode.JointGroup()
        self.space = ode.Space()

        self.accum = 0.0
        self.time0 = 0
        self.startTime = 0
Ejemplo n.º 8
0
def self_play(ctx):
    """Train by self-play, retraining from self-played frames and changing best player when
    new trained player beats currently best player.

    Args:
        ctx (click.core.Context): context object.
            Parameters for training:
                * 'game' (string)                     : game name (Default: tictactoe)
                * 'max_iter' (int)                    : number of train process iterations
                                                        (Default: -1)
                * 'min_examples' (int)                : minimum number of examples to start training
                                                        nn, if -1 then no threshold. (Default: -1)
                * 'policy_warmup' (int)               : how many stochastic warmup steps should take
                                                        deterministic policy (Default: 12)
                * 'n_self_plays' (int)                : number of self played episodes
                                                        (Default: 100)
                * 'n_tournaments' (int)               : number of tournament episodes (Default: 20)
                * 'save_checkpoint_folder' (string)   : folder to save best models
                                                        (Default: "checkpoints")
                * 'save_checkpoint_filename' (string) : filename of best model (Default: "best")
                * 'save_self_play_log_path' (string)  : where to save self-play logs.
                                                        (Default: "./logs/self-play.log")
                * 'save_tournament_log_path' (string) : where to save tournament logs.
                                                        (Default: "./logs/tournament.log")
                * 'update_threshold' (float):         : required threshold to be new best player
                                                        (Default: 0.55)
    """

    cfg = ctx.obj
    coach = Coach(cfg)

    # Create TensorBoard logger
    tb_logger = TensorBoardLogger(
        utils.create_tensorboard_log_dir(cfg.logging['tensorboard_log_folder'],
                                         'score'))

    iteration = coach.global_epoch // cfg.training['epochs']
    while cfg.self_play[
            "max_iter"] == -1 or iteration < cfg.self_play["max_iter"]:
        iter_counter_str = "{:03d}/{:03d}".format(iteration + 1, cfg.self_play["max_iter"]) \
            if cfg.self_play["max_iter"] > 0 else "{:03d}/inf".format(iteration + 1)

        coach.play("Self-play  " + iter_counter_str)

        # Proceed to training only if threshold is fulfilled
        if len(coach.storage.big_bag) <= cfg.self_play["min_examples"]:
            log.warning("Skip training, gather minimum %d training examples!",
                        cfg.self_play["min_examples"])
            continue

        coach.train()
        coach.evaluate("Tournament " + iter_counter_str, tournament_mode=True)

        # Log current player's score
        tb_logger.log_scalar("Best score", coach.best_score, iteration)

        # Increment iterator
        iteration += 1
Ejemplo n.º 9
0
    def store_all_cards(cls):
        client = gspread.authorize(creds)
        ws = client.open_by_key(cls.MASTERSHEET_ID)
        try:
            sheet = ws.worksheet(cls.MASTER_NAME)
        except gspread.exceptions.WorksheetNotFound:
            sheet = ws.add_worksheet(title=cls.MASTER_NAME, rows=100, cols=15)

        sheet.clear()

        cards = []
        cards.append(cls.MASTER_LIST_HEADER)

        for coach in Coach.all():
            for card in coach.collection:
                card["Coach"] = coach.name
                cards.append(card)

        cards_amount, keys_amount = len(cards), len(cls.MASTER_LIST_HEADER)

        cell_list = sheet.range(
            f"A1:{gspread.utils.rowcol_to_a1(cards_amount, keys_amount)}")

        for cell in cell_list:
            if cell.row == 1:
                cell.value = cards[cell.row - 1][cell.col - 1]
            else:
                cell.value = cards[cell.row -
                                   1][cls.MASTER_LIST_HEADER[cell.col - 1]]
        sheet.update_cells(cell_list)
Ejemplo n.º 10
0
 async def __run_newcoach(self):
     name = str(self.message.author)
     if Coach.exists(name):
         msg = LongMessage(self.client, self.message.channel)
         msg.add(
             f"**{self.message.author.mention}** account exists already\n")
         await msg.send()
     else:
         coach = Coach.load_coach(str(self.message.author))
         coach.store_coach()
         # transaction is ok and coach is saved
         msg = LongMessage(self.client, self.message.channel)
         msg.add(f"**{self.message.author.mention}** account created\n")
         msg.add(f"**Bank:** {coach.account.cash} coins")
         msg.add(f"**Rules**: <{RULES_LINK}>")
         await msg.send()
Ejemplo n.º 11
0
Archivo: team.py Proyecto: filmol/FM-V2
 def add_coach(self,name: str,age: int,style: str) -> None:
     """
     Creates a new Coach instance with input.
     Team gets the coach instance assigned as their new coach.       
     """
     coach = Coach(style,name,age)
     self.__coach = coach
Ejemplo n.º 12
0
 def __init__(self, name, window):
     self._name = name
     self._dis = Display(window)
     self._co = Coach()
     self._co.register(self, self._dis)
     self._dis.register(self, self._co)
     self._co.create_exercises() #TODO.WN091101 replace by storing Exerc.s
     self._calcs = None #pop !
Ejemplo n.º 13
0
def human_play(ctx, model_path, n_games):
    """Play `n_games` with trained model.

        Args:
            model_path: (string): Path to trained model.
    """

    cfg = ctx.obj
    coach = Coach(cfg, model_path)

    coach.current_mind.players[1] = HumanPlayer(cfg.mdp)
    coach.eval_callbacks.append(BoardRender(cfg.env, render=True, fancy=True))
    coach.scoreboard = Tournament()

    coach.evaluate(desc="Test models: Human vs. {}".format(
        model_path.split("/")[-1]),
                   n_games=n_games)

    log.info("Human vs. %s results: %s",
             model_path.split("/")[-1], coach.scoreboard.results)
Ejemplo n.º 14
0
def register_coach():
    coach = Coach()
    password = request.form["password"]
    email = request.form["email"]
    city = request.form["city"]
    name = request.form["name"]
    dom_hand = request.form["dom_hand"]
    club = request.form["club"]
    typ = request.form["type"]

    if 'image' not in request.files:
        return jsonify({"response": "no_photo"})

    image = request.files["image"]

    if len(password) < 8:
        return jsonify({"response": "password_short"})
    if not pyvalidator.email(email):
        return jsonify({"response": "invalid_email"})

    return coach.register_coach(password, name, email, city, dom_hand, club,
                                image, typ, app)
Ejemplo n.º 15
0
def update(team_member_id):
    """ Update a team member from the Team Roster by ID """

    content = request.json

    try:
        if content["type"] == 'Player':
            member = Player(content['first_name'], content['last_name'],
                            content['member_num'], content['annual_salary'],
                            content['contract_years_length'],
                            content['last_team'], 'Player',
                            content['jersey_num'], content['position'])

            # roster_mgr.update(player)

        if content["type"] == 'Coach':
            member = Coach(content['first_name'], content['last_name'],
                           content['member_num'], content['annual_salary'],
                           content['contract_years_length'],
                           content['last_team'], 'Coach',
                           content['specialization'],
                           content['is_former_player'])

        member.id = team_member_id
        roster_mgr.update(member)

        response = app.response_class(status=200)

        return response

    except KeyError as err:
        response = app.response_class(
            response=
            'Team member object is invalid. Team member with ID: %d has type: \'%s\'. %s must be inputted.'
            % (team_member_id, roster_mgr.get(team_member_id).type, err),
            status=400)

        return response

    except ValueError as err:
        response = app.response_class(response=str(err), status=400)

        return response

    except (AttributeError, UnboundLocalError) as err:
        response = app.response_class(
            response='Team member with an ID: %d does not exist. %s' %
            (team_member_id, err),
            status=404)

        return response
Ejemplo n.º 16
0
def clash(ctx, first_model_path, second_model_path, render, n_games):
    """Test two models. Play `n_games` between themselves.

        Args:
            first_model_path: (string): Path to player one model.
            second_model_path (string): Path to player two model.
    """

    cfg = ctx.obj
    coach = Coach(cfg,
                  current_ckpt=first_model_path,
                  best_ckpt=second_model_path)

    coach.scoreboard = Tournament()
    coach.evaluate(desc="Test models: {} vs {}".format(
        first_model_path.split("/")[-1],
        second_model_path.split("/")[-1]),
                   render_mode=render,
                   n_games=n_games)

    log.info("%s vs %s results: %s",
             first_model_path.split("/")[-1],
             second_model_path.split("/")[-1], coach.scoreboard.results)
Ejemplo n.º 17
0
    def __init__(self, game, name, s_size, a_size, trainer, model_path,
                 global_episodes):
        self.name = "worker_" + str(name)
        self.number = name
        self.model_path = model_path
        self.trainer = trainer
        self.global_episodes = global_episodes
        self.increment = self.global_episodes.assign_add(1)
        self.episode_rewards = []
        self.episode_lengths = []
        self.episode_mean_values = []
        self.summary_writer = tf.summary.FileWriter("train_" +
                                                    str(self.number))

        self.coach = Coach()

        #Create the local copy of the network and the tensorflow op to copy global paramters to local network
        self.local_AC = AC_Network(s_size, a_size, self.name, trainer)
        self.update_local_ops = update_target_graph('global', self.name)

        self.actions = np.identity(a_size, dtype=bool).tolist()

        self.car = game
Ejemplo n.º 18
0
class Session:
    """
    for stand-alone usage by the ox-user.
    ?for collaborative sessions see CoSession
    """
    print("DEL import Session")
            
    def __init__(self, name, window):
        self._name = name
        self._dis = Display(window)
        self._co = Coach()
        self._co.register(self, self._dis)
        self._dis.register(self, self._co)
        self._co.create_exercises() #TODO.WN091101 replace by storing Exerc.s
        self._calcs = None #pop !

    def run(self):
        """as long as user does exercises"""
        #print("in Session.run")
        self._co.request_exercise()
        self._dis.init_calc() #TODOWN091101 take Exercise as argument
        
    def notify(self, (msg, data)):
        '''called by the observed objects'''
        #print('in Session.notify: msg=,data=', msg, data)
        if msg == 'setting-done': # from Coach
            self._ex = data
            self._calcs = data._generate_calcs()
            self._key = data.get_topic()
            (self._calcs).reverse()
            _calc = (self._calcs).pop()
            #print('in Session.notify: calc=', _calc)
            _lines, self._input = data.format(_calc)
            self._dis.display_calc(_lines)
            self._curr_in = self._input.pop() #need _curr_in in notify
            self._dis.create_entryline(self._curr_in)
            # create_entryline sets the callback from gtk to Display
        if msg == 'digit-done': # from Display
            #print('in Session.notify, digit-done: _input=', self._input)
            (lino, pos, dig, proterr, protok, li) = self._curr_in
            self._dis.create_entryline((lino, -1, dig, proterr, protok, li))
            if len(self._input) > 0:
                self._curr_in = self._input.pop()
                self._dis.create_entryline(self._curr_in)
            else: # start new calc
                self._dis.show_progress()
                if len(self._calcs) > 0:
                    _calc = (self._calcs).pop()
                    print('in Session.notify: calc=', _calc)
                    _lines, self._input = self._ex.format(_calc)
                    self._dis.display_calc(_lines)
                    self._curr_in = self._input.pop() #need _curr_in in notify
                    self._dis.create_entryline(self._curr_in)
                    # create_entryline sets the callback from gtk to Display
                else:
                    self._dis.finish_calc()
Ejemplo n.º 19
0
  def __init__(self): 
    self.objectList = [] 
    self.performance = 0
    ode.World.__init__(self)
    self.coach = Coach()
    self.camera = Camera(0.0, 14.0, 19.5, -30.0, 0.0) 
    self.objectList.append(self.camera)
    self.setGravity((0.0, -9.81, 0.0))

    self.contactgroup = ode.JointGroup()
    self.space = ode.Space()
    
    self.accum = 0.0
    self.time0 = 0
    self.startTime = 0
Ejemplo n.º 20
0
    async def __run_list(self):
        coach = Coach.load_coach(str(self.message.author))
        order = False if "bydate" in self.message.content else True

        msg = LongMessage(self.client, self.message.author)
        msg.add(f"**Bank:** {coach.account.cash} coins\n")
        msg.add("**Collection**:\n")
        msg.add("-" * 65 + "")
        msg.add(
            f"{self.__class__.format_pack(coach.collection_with_count(),order)}"
        )
        msg.add("-" * 65 + "\n")
        await msg.send()
        await self.client.send_message(self.message.channel,
                                       "Collection sent to PM")
Ejemplo n.º 21
0
def getAllCoaches(suppressOutput=True, min_year_active=2004):

    coaches = dict()
    glsoup = getSoupFromURL('https://www.basketball-reference.com/coaches/', suppressOutput)
    all_rows = glsoup.find("table", id="coaches").find("tbody").find_all("tr")
    for row in all_rows:
        coach = row.find("th", attrs={"data-stat": "coach", "scope": "row"})
        if coach is None:
            continue
        coach = coach.find("a")
        name = coach.get_text()
        last_year_active_soup = row.find("td", attrs={"data-stat": "year_max"})
        last_year_active = int(last_year_active_soup.get_text())
        try:
            if last_year_active >= min_year_active:
                coaches[name] = Coach(name, 'https://www.basketball-reference.com' + coach.attrs['href'])
        except Exception as e:
            print("ERROR:", e)
    sleep(1) # sleeping to be kind for requests
    return coaches
Ejemplo n.º 22
0
    async def __run_genpack(self):
        if self.__class__.check_gen_command(self.cmd):
            ptype = self.args[1]
            if ptype == "player":
                team = self.args[2]
                pack = Pack(ptype, team=team)
                pack.generate()
            elif ptype == "training":
                pack = Pack(ptype)
                pack.generate()
            elif ptype == "booster":
                ptype = "booster_budget" if len(
                    self.args) < 3 else f"booster_{self.args[2]}"
                pack = Pack(ptype)
                pack.generate()

            # add error handling eventually
            coach = Coach.load_coach(str(self.message.author))
            t = Transaction(pack, pack.price)
            try:
                coach.make_transaction(t)
            except TransactionError as e:
                await self.transaction_error(e)
                return
            else:
                # transaction is ok and coach is saved
                msg = LongMessage(self.client, self.message.channel)
                msg.add(
                    f"**{pack.description()}** for **{self.message.author}** - **{pack.price}** coins:\n"
                )
                msg.add(f"{self.__class__.format_pack(pack.cards)}\n")
                msg.add(f"**Bank:** {coach.account.cash} coins")
                await msg.send()
                # export
                ImperiumSheet.store_all_cards()
        else:
            await self.client.send_message(self.message.channel,
                                           self.__class__.gen_help())
Ejemplo n.º 23
0
def train(ctx, checkpoint, save_dir, tensorboard):
    """Train NN from passed configuration."""

    cfg = ctx.obj
    coach = Coach(cfg, checkpoint)

    # Create TensorBoard logging callback if enabled
    if tensorboard:
        coach.train_callbacks = [
            TensorBoard(log_dir=utils.create_tensorboard_log_dir(
                cfg.logging['tensorboard_log_folder'], 'train'))
        ]
    else:
        coach.train_callbacks = []

    coach.train()

    # Save model checkpoint if path passed
    if save_dir:
        save_fname = utils.create_checkpoint_file_name('train',
                                                       cfg.self_play["game"],
                                                       coach.global_epoch,
                                                       coach.best_score)
        coach.current_nn.save_checkpoint(save_dir, save_fname)
Ejemplo n.º 24
0
def main():
    log.info('Loading %s...', Game.__name__)
    g = Game(4, 9, 4)

    log.info('Loading %s...', nn.__name__)
    nnet = nn(g)

    if args.load_model:
        log.info('Loading checkpoint "%s/%s"...', args.load_folder_file[0],
                 args.load_folder_file[1])
        nnet.load_checkpoint(args.load_folder_file[0],
                             args.load_folder_file[1])
    else:
        log.warning('Not loading a checkpoint!')

    log.info('Loading the Coach...')
    c = Coach(g, nnet, args)

    if args.load_model:
        log.info("Loading 'trainExamples' from file...")
        c.loadTrainExamples()

    log.info('Starting the learning process 🎉')
    c.learn()
Ejemplo n.º 25
0
class GameWorld(ode.World): 
  def __init__(self): 
    self.objectList = [] 
    self.performance = 0
    ode.World.__init__(self)
    self.coach = Coach()
    self.camera = Camera(0.0, 14.0, 19.5, -30.0, 0.0) 
    self.objectList.append(self.camera)
    self.setGravity((0.0, -9.81, 0.0))

    self.contactgroup = ode.JointGroup()
    self.space = ode.Space()
    
    self.accum = 0.0
    self.time0 = 0
    self.startTime = 0

  def launchClock(self):
    self.time0 = CLOCK()

  def applyInputs(self): 
    glfwDisable(GLFW_STICKY_MOUSE_BUTTONS)
    if not self.coach.gameOver:
      for object in self.objectList: 
        object.applyInputs(self.performance)
    if (gameglobals.gameState == 1 or gameglobals.gameState == 2) and glfwGetKey(GLFW_KEY_ESC):
      gameglobals.gameState = 0

  def draw(self): 
    glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT)
    glMatrixMode(GL_MODELVIEW)
    glLoadIdentity()

    self.camera.draw()
    glLightfv(GL_LIGHT0, GL_POSITION, (0.0, 17.0, 10.0, 1.0))
    for part in self.objectList:
      glPushMatrix() 
      part.draw() 
      glPopMatrix()
    self.coach.draw(self.performance)

  def addObject(self, object):
    if 'Player' in object.geom.name:
      self.coach.register(object)
    if 'Ball' in object.geom.name:
      self.camera.setTarget(object)
      self.coach.ball = object
    self.objectList.append(object)
    

  def idle(self): 
    gameWorld = self
    newTime = CLOCK()
    deltaTime = newTime - gameWorld.time0
    
    self.accum += deltaTime

    p = deltaTime

    while self.accum >= 1.0/60.0:
      gameWorld.performance = 1.0/60.0 #deltaTime
      gameWorld.applyInputs()
      c = gameWorld.coach
      c.objectList = []
      gameWorld.space.collide((gameWorld, gameWorld.contactgroup), near_callback)
      c.manageGame()
      
      gameWorld.step(1.0/60.0)
      self.accum -= 1.0/60.0
    
    gameWorld.performance = p
    gameWorld.draw()
    gameWorld.contactgroup.empty()    
    glfwSwapBuffers()
    gameWorld.time0 = newTime
    framerate()
Ejemplo n.º 26
0
def countdown(exc_time):
    for sec in range(exc_time):
        logging.info("%d seconds until the next exercise" % (exc_time - sec))
        if exc_time - sec == 10:
            Coach.say("10 Seconds left")
        time.sleep(1)
Ejemplo n.º 27
0
def add_coach(raw_coach_query_list):
	"""Takes in a list of split data by space"""
	stripped_list = [element.strip() for element in raw_coach_query_list]

	raw_coach_query_list = stripped_list

	# validation for coach_id
	coach_id = raw_coach_query_list[1]
	letters = sum(char.isalpha() for char in coach_id)
	if letters > 7:
		print('invalid number of characters in coach_id. MAX is 7')
		return
	numbers = sum(char.isdigit() for char in coach_id)
	if numbers > 2:
		print('invalid number of numbers in coach_id. MAX is 2')
		return
	# validation for year.
	season_year = raw_coach_query_list[2]
	numbers = sum(char.isdigit() for char in season_year)
	if numbers != 4:
		print('invalid number of numbers in coach_id. Must be 4 digit number')
		return

	# processing of first name -> removing any + characters
	first_name = raw_coach_query_list[3]
	first_name = first_name.replace('+', ' ')

	# processing of last name -> removing any + characters
	last_name = raw_coach_query_list[4]
	last_name = last_name.replace('+', ' ')

	# processing of the rest of data wins/losses
	try:
		season_win = int(raw_coach_query_list[5])
	except:
		print("You must pass in a valid integer to season win!")
		return
	finally:
		if season_win < 0:
			print('Invalid. Season win must be >= 0')

	try:
		season_loss = int(raw_coach_query_list[6])
	except:
		print("You must pass in a valid integer to season loss.")
	finally:
		if season_loss < 0:
			print('Invalid. Season loss must be >= 0')

	try:
		playoff_win = int(raw_coach_query_list[7])
	except:
		print("You must pass in a valid integer to playoff win!")
	finally:
		if playoff_win < 0:
			print('Invalid. Playoff win must be >= 0')

	try:
		playoff_loss = int(raw_coach_query_list[8])
	except:
		print("You must pass in a valid integer to playoff loss!")
	finally:
		if playoff_loss < 0:
			print('Invalid. Playoff loss must be >= 0')

	# processing of team
	team = raw_coach_query_list[9]

	# append the added coach to the table (list) of coaches)
	coach = Coach(coach_id, season_year, first_name, last_name, season_win, season_loss, playoff_win, playoff_loss,
	              team)
	coach_list.append(coach)
Ejemplo n.º 28
0
from coach import Coach
from controllers import Agent_Controller
from agents import RandomAgent
import torch
import gym
import boardgame2
import torch
import numpy

N_AGENTS = 1
N_EPISODES = 10
N_EPOCHS = 1

coach = Coach(env="CartPole-v0",
              loss_fn=Coach.reinforce,
              optim=torch.optim.Adam,
              n_agents=N_AGENTS
              )

target_agent = RandomAgent(actions=coach.actions)

agent = Agent_Controller(
            n_agents=N_AGENTS,
            agent=target_agent
            )

for epoch in range(N_EPOCHS):
    for episode in range(N_EPISODES):
        returns = coach.run_episode(agent, return_tau=True, render=True)
        print(returns)
Ejemplo n.º 29
0
    async def __run_admin(self):
        # if not started from admin-channel
        if not self.__class__.is_private_admin_channel(self.message.channel):
            emsg = "Insuficient rights"
            logger.error(emsg)
            await self.client.send_message(self.message.channel, emsg)
            return

        #adminlist cmd
        if self.message.content.startswith('!adminlist'):
            # require username argument
            if len(self.args) == 1:
                emsg = "Username missing"
                await self.client.send_message(self.message.channel, emsg)
                return

            coaches = Coach.find_by_name(self.args[1])
            msg = LongMessage(self.client, self.message.channel)

            if len(coaches) == 0:
                msg.add("No coaches found")

            for coach in coaches:
                msg.add(f"Coach **{coach.name}**\n")
                msg.add(f"**Bank:** {coach.account.cash} coins\n")
                msg.add("**Collection**:")
                msg.add("-" * 65 + "")
                msg.add(
                    f"{self.__class__.format_pack(coach.collection_with_count())}"
                )
                msg.add("-" * 65 + "\n")

            await msg.send()
            return
        if self.message.content.startswith('!adminbank'):
            # require username argument
            if len(self.args) < 4:
                emsg = "Not enough arguments!!!\n"
                await self.client.send_message(self.message.channel, emsg)
                await self.client.send_message(self.message.channel,
                                               self.__class__.adminbank_help())
                return

            # amount must be int
            if not RepresentsInt(self.args[1]):
                emsg = "<amount> is not whole number!!!\n"
                await self.client.send_message(self.message.channel, emsg)
                return

            # find coach
            coaches = Coach.find_by_name(self.args[2])
            if len(coaches) == 0:
                emsg = f"Coach __{self.args[2]}__ not found!!!\n"
                await self.client.send_message(self.message.channel, emsg)
                return

            if len(coaches) > 1:
                emsg = f"Coach __{self.args[2]}__ not **unique**!!!\n"
                emsg += "Select one: "
                for coach in coaches:
                    emsg += coach.name
                    emsg += " "
                await self.client.send_message(self.message.channel, emsg)
                return

            amount = int(self.args[1])
            coach = coaches[0]
            reason = ' '.join(
                str(x) for x in self.message.content.split(" ")
                [3:]) + " - updated by " + str(self.message.author)

            t = Transaction(reason, -1 * amount)
            try:
                coach.make_transaction(t)
            except TransactionError as e:
                await self.transaction_error(e)
                return
            else:
                msg = LongMessage(self.client, self.message.channel)
                msg.add(
                    f"Bank for {coach.name} updated to **{coach.account.cash}** coins:\n"
                )
                msg.add(f"Note: {reason}\n")
                msg.add(f"Change: {amount} coins")
                await msg.send()
Ejemplo n.º 30
0
def show_player():
    coach = Coach()
    coach_username = request.get_json()["coach_mail"]
    return coach.show_players(coach_username)
Ejemplo n.º 31
0
class Poloniex(object):
    """The Poloniex Object!"""
    def __init__(self,
                 key=False,
                 secret=False,
                 timeout=None,
                 coach=True,
                 jsonNums=False,
                 proxies=None):
        """
        key = str api key supplied by Poloniex
        secret = str secret hash supplied by Poloniex
        timeout = int time in sec to wait for an api response
            (otherwise 'requests.exceptions.Timeout' is raised)
        coach = bool to indicate if the api coach should be used
        jsonNums = datatype to use when parsing json ints and floats
        # Time Placeholders: (MONTH == 30*DAYS)
        self.MINUTE, self.HOUR, self.DAY, self.WEEK, self.MONTH, self.YEAR
        """
        # set logger, coach, and proxies
        self.logger = logger
        self.coach = coach
        self.proxies = proxies
        if self.coach is True:
            self.coach = Coach()
        # create nonce
        self._nonce = int("{:.6f}".format(time()).replace('.', ''))
        # json number datatypes
        self.jsonNums = jsonNums
        # grab keys, set timeout
        self.key, self.secret, self.timeout = key, secret, timeout
        # set time labels
        self.MINUTE, self.HOUR, self.DAY = 60, 60 * 60, 60 * 60 * 24
        self.WEEK, self.MONTH = self.DAY * 7, self.DAY * 30
        self.YEAR = self.DAY * 365

    # -----------------Meat and Potatos---------------------------------------
    def _retry(func):
        """ retry decorator """
        @_wraps(func)
        def retrying(*args, **kwargs):
            problems = []
            for delay in _chain(retryDelays, [None]):
                try:
                    # attempt call
                    return func(*args, **kwargs)

                # we need to try again
                except RequestException as problem:
                    problems.append(problem)
                    if delay is None:
                        logger.debug(problems)
                        raise RetryException('retryDelays exhausted ' +
                                             str(problem))
                    else:
                        # log exception and wait
                        logger.debug(problem)
                        logger.info("-- delaying for %ds", delay)
                        sleep(delay)

        return retrying

    @_retry
    def __call__(self, command, args={}):
        """ Main Api Function
        - encodes and sends <command> with optional [args] to Poloniex api
        - raises 'poloniex.PoloniexError' if an api key or secret is missing
            (and the command is 'private'), if the <command> is not valid, or
            if an error is returned from poloniex.com
        - returns decoded json api message """
        # get command type
        cmdType = self._checkCmd(command)

        # pass the command
        args['command'] = command
        payload = {}
        # add timeout
        payload['timeout'] = self.timeout

        # private?
        if cmdType == 'Private':
            payload['url'] = 'https://poloniex.com/tradingApi'

            # wait for coach
            if self.coach:
                self.coach.wait()

            # set nonce
            print('nonce: ' + str(self.nonce))
            args['nonce'] = self.nonce

            # add args to payload
            payload['data'] = args

            # sign data with our Secret
            sign = _new(self.secret.encode('utf-8'),
                        _urlencode(args).encode('utf-8'), _sha512)

            # add headers to payload
            payload['headers'] = {'Sign': sign.hexdigest(), 'Key': self.key}
            # add proxies if needed
            if self.proxies:
                payload['proxies'] = self.proxies

            # send the call
            print(payload)
            ret = _post(**payload)

            # return data
            return self._handleReturned(ret.text)

        # public?
        if cmdType == 'Public':
            # encode url
            payload['url'] = 'https://poloniex.com/public?' + _urlencode(args)

            # wait for coach
            if self.coach:
                self.coach.wait()
            # add proxies if needed
            if self.proxies:
                payload['proxies'] = self.proxies
            # send the call
            ret = _get(**payload)

            # return data
            return self._handleReturned(ret.text)

    @property
    def nonce(self):
        """ Increments the nonce"""
        print('a kuku: ' + str(self._nonce))
        self._nonce += 42
        return self._nonce

    def _checkCmd(self, command):
        """ Returns if the command is private of public, raises PoloniexError
        if command is not found """
        global PUBLIC_COMMANDS, PRIVATE_COMMANDS
        if command in PRIVATE_COMMANDS:
            # check for keys
            if not self.key or not self.secret:
                raise PoloniexError("An Api Key and Secret needed!")
            return 'Private'
        if command in PUBLIC_COMMANDS:
            return 'Public'

        raise PoloniexError("Invalid Command!: %s" % command)

    def _handleReturned(self, data):
        """ Handles returned data from poloniex"""
        try:
            if not self.jsonNums:
                out = _loads(data, parse_float=str)
            else:
                out = _loads(data,
                             parse_float=self.jsonNums,
                             parse_int=self.jsonNums)
        except:
            self.logger.error(data)
            raise PoloniexError('Invalid json response returned')

        # check if poloniex returned an error
        if 'error' in out:

            # update nonce if we fell behind
            if "Nonce must be greater" in out['error']:
                self._nonce = int(out['error'].split('.')[0].split()[-1])
                # raise RequestException so we try again
                raise RequestException('PoloniexError ' + out['error'])

            # conncetion timeout from poloniex
            if "please try again" in out['error'].lower():
                # raise RequestException so we try again
                raise RequestException('PoloniexError ' + out['error'])

            # raise other poloniex errors, ending retry loop
            else:
                raise PoloniexError(out['error'])
        return out

    # --PUBLIC COMMANDS-------------------------------------------------------
    def returnTicker(self):
        """ Returns the ticker for all markets. """
        return self.__call__('returnTicker')

    def return24hVolume(self):
        """ Returns the 24-hour volume for all markets,
        plus totals for primary currencies. """
        return self.__call__('return24hVolume')

    def returnOrderBook(self, currencyPair='all', depth=20):
        """ Returns the order book for a given market as well as a sequence
        number for use with the Push API and an indicator specifying whether the
        market is frozen. (defaults to 'all' markets, at a 'depth' of 20 orders)
        """
        return self.__call__('returnOrderBook', {
            'currencyPair': str(currencyPair).upper(),
            'depth': str(depth)
        })

    @_retry
    def marketTradeHist(self, currencyPair, start=False, end=False):
        """ Returns the past 200 trades for a given market, or up to 50,000
        trades between a range specified in UNIX timestamps by the "start" and
        "end" parameters. """
        if self.coach:
            self.coach.wait()
        args = {
            'command': 'returnTradeHistory',
            'currencyPair': str(currencyPair).upper()
        }
        if start:
            args['start'] = start
        if end:
            args['end'] = end
        ret = _get('https://poloniex.com/public?' + _urlencode(args),
                   timeout=self.timeout)
        # decode json
        return self._handleReturned(ret.text)

    def returnChartData(self,
                        currencyPair,
                        period=False,
                        start=False,
                        end=False):
        """ Returns candlestick chart data. Parameters are "currencyPair",
        "period" (candlestick period in seconds; valid values are 300, 900,
        1800, 7200, 14400, and 86400), "start", and "end". "Start" and "end"
        are given in UNIX timestamp format and used to specify the date range
        for the data returned (default date range is start='1 day ago' to
        end='now') """
        if period not in [300, 900, 1800, 7200, 14400, 86400]:
            raise PoloniexError("%s invalid candle period" % str(period))
        if not start:
            start = time() - self.DAY
        if not end:
            end = time()
        return self.__call__(
            'returnChartData', {
                'currencyPair': str(currencyPair).upper(),
                'period': str(period),
                'start': str(start),
                'end': str(end)
            })

    def returnCurrencies(self):
        """ Returns information about all currencies. """
        return self.__call__('returnCurrencies')

    def returnLoanOrders(self, currency):
        """ Returns the list of loan offers and demands for a given currency,
        specified by the "currency" parameter """
        return self.__call__('returnLoanOrders',
                             {'currency': str(currency).upper()})

    # --PRIVATE COMMANDS------------------------------------------------------
    def returnBalances(self):
        """ Returns all of your available balances."""
        return self.__call__('returnBalances')

    def returnCompleteBalances(self, account='all'):
        """ Returns all of your balances, including available balance, balance
        on orders, and the estimated BTC value of your balance. By default,
        this call is limited to your exchange account; set the "account"
        parameter to "all" to include your margin and lending accounts. """
        return self.__call__('returnCompleteBalances',
                             {'account': str(account)})

    def returnDepositAddresses(self):
        """ Returns all of your deposit addresses. """
        return self.__call__('returnDepositAddresses')

    def generateNewAddress(self, currency):
        """ Generates a new deposit address for the currency specified by the
        "currency" parameter. """
        return self.__call__('generateNewAddress', {'currency': currency})

    def returnDepositsWithdrawals(self, start=False, end=False):
        """ Returns your deposit and withdrawal history within a range,
        specified by the "start" and "end" parameters, both of which should be
        given as UNIX timestamps. (defaults to 1 month)"""
        if not start:
            start = time() - self.MONTH
        if not end:
            end = time()
        args = {'start': str(start), 'end': str(end)}
        return self.__call__('returnDepositsWithdrawals', args)

    def returnOpenOrders(self, currencyPair='all'):
        """ Returns your open orders for a given market, specified by the
        "currencyPair" parameter, e.g. "BTC_XCP". Set "currencyPair" to
        "all" to return open orders for all markets. """
        return self.__call__('returnOpenOrders',
                             {'currencyPair': str(currencyPair).upper()})

    def returnTradeHistory(self,
                           currencyPair='all',
                           start=False,
                           end=False,
                           limit=None):
        """ Returns your trade history for a given market, specified by the
        "currencyPair" POST parameter. You may specify "all" as the
        currencyPair to receive your trade history for all markets. You may
        optionally specify a range via "start" and/or "end" POST parameters,
        given in UNIX timestamp format; if you do not specify a range, it will
        be limited to one day. You may optionally limit the number of entries
        returned using the "limit" parameter, up to a maximum of 10,000. If the
        "limit" parameter is not specified, no more than 500 entries will be
        returned.  """
        args = {'currencyPair': str(currencyPair).upper()}
        if start:
            args['start'] = start
        if end:
            args['end'] = end
        if limit:
            args['limit'] = limit
        return self.__call__('returnTradeHistory', args)

    def returnOrderTrades(self, orderNumber):
        """ Returns all trades involving a given order, specified by the
        "orderNumber" parameter. If no trades for the order have occurred
        or you specify an order that does not belong to you, you will receive
        an error. """
        return self.__call__('returnOrderTrades',
                             {'orderNumber': str(orderNumber)})

    def buy(self, currencyPair, rate, amount, orderType=False):
        """ Places a limit buy order in a given market. Required parameters are
        "currencyPair", "rate", and "amount". You may optionally set "orderType"
        to "fillOrKill", "immediateOrCancel" or "postOnly". A fill-or-kill order
        will either fill in its entirety or be completely aborted. An
        immediate-or-cancel order can be partially or completely filled, but
        any portion of the order that cannot be filled immediately will be
        canceled rather than left on the order book. A post-only order will
        only be placed if no portion of it fills immediately; this guarantees
        you will never pay the taker fee on any part of the order that fills.
        If successful, the method will return the order number. """
        args = {
            'currencyPair': str(currencyPair).upper(),
            'rate': str(rate),
            'amount': str(amount),
        }
        # order type specified?
        if orderType:
            possTypes = ['fillOrKill', 'immediateOrCancel', 'postOnly']
            # check type
            if not orderType in possTypes:
                raise PoloniexError('Invalid orderType')
            args[orderType] = 1

        return self.__call__('buy', args)

    def sell(self, currencyPair, rate, amount, orderType=False):
        """ Places a sell order in a given market. Parameters and output are
        the same as for the buy method. """
        args = {
            'currencyPair': str(currencyPair).upper(),
            'rate': str(rate),
            'amount': str(amount),
        }
        # order type specified?
        if orderType:
            possTypes = ['fillOrKill', 'immediateOrCancel', 'postOnly']
            # check type
            if not orderType in possTypes:
                raise PoloniexError('Invalid orderType')
            args[orderType] = 1

        return self.__call__('sell', args)

    def cancelOrder(self, orderNumber):
        """ Cancels an order you have placed in a given market. Required
        parameter is "orderNumber". """
        return self.__call__('cancelOrder', {'orderNumber': str(orderNumber)})

    def moveOrder(self, orderNumber, rate, amount=False, orderType=False):
        """ Cancels an order and places a new one of the same type in a single
        atomic transaction, meaning either both operations will succeed or both
        will fail. Required parameters are "orderNumber" and "rate"; you may
        optionally specify "amount" if you wish to change the amount of the new
        order. "postOnly" or "immediateOrCancel" may be specified as the
        "orderType" param for exchange orders, but will have no effect on
        margin orders. """

        args = {'orderNumber': str(orderNumber), 'rate': str(rate)}
        if amount:
            args['amount'] = str(amount)
        # order type specified?
        if orderType:
            possTypes = ['immediateOrCancel', 'postOnly']
            # check type
            if not orderType in possTypes:
                raise PoloniexError('Invalid orderType: %s' % str(orderType))
            args[orderType] = 1

        return self.__call__('moveOrder', args)

    def withdraw(self, currency, amount, address, paymentId=False):
        """ Immediately places a withdrawal for a given currency, with no email
        confirmation. In order to use this method, the withdrawal privilege
        must be enabled for your API key. Required parameters are
        "currency", "amount", and "address". For XMR withdrawals, you may
        optionally specify "paymentId". """
        args = {
            'currency': str(currency).upper(),
            'amount': str(amount),
            'address': str(address)
        }
        if paymentId:
            args['paymentId'] = str(paymentId)
        return self.__call__('withdraw', args)

    def returnFeeInfo(self):
        """ If you are enrolled in the maker-taker fee schedule, returns your
        current trading fees and trailing 30-day volume in BTC. This
        information is updated once every 24 hours. """
        return self.__call__('returnFeeInfo')

    def returnAvailableAccountBalances(self, account=False):
        """ Returns your balances sorted by account. You may optionally specify
        the "account" parameter if you wish to fetch only the balances of
        one account. Please note that balances in your margin account may not
        be accessible if you have any open margin positions or orders. """
        if account:
            return self.__call__('returnAvailableAccountBalances',
                                 {'account': account})
        return self.__call__('returnAvailableAccountBalances')

    def returnTradableBalances(self):
        """ Returns your current tradable balances for each currency in each
        market for which margin trading is enabled. Please note that these
        balances may vary continually with market conditions. """
        return self.__call__('returnTradableBalances')

    def transferBalance(self,
                        currency,
                        amount,
                        fromAccount,
                        toAccount,
                        confirmed=False):
        """ Transfers funds from one account to another (e.g. from your
        exchange account to your margin account). Required parameters are
        "currency", "amount", "fromAccount", and "toAccount" """
        args = {
            'currency': str(currency).upper(),
            'amount': str(amount),
            'fromAccount': str(fromAccount),
            'toAccount': str(toAccount)
        }
        if confirmed:
            args['confirmed'] = 1
        return self.__call__('transferBalance', args)

    def returnMarginAccountSummary(self):
        """ Returns a summary of your entire margin account. This is the same
        information you will find in the Margin Account section of the Margin
        Trading page, under the Markets list """
        return self.__call__('returnMarginAccountSummary')

    def marginBuy(self, currencyPair, rate, amount, lendingRate=2):
        """ Places a margin buy order in a given market. Required parameters are
        "currencyPair", "rate", and "amount". You may optionally specify a
        maximum lending rate using the "lendingRate" parameter (defaults to 2).
        If successful, the method will return the order number and any trades
        immediately resulting from your order. """
        return self.__call__(
            'marginBuy', {
                'currencyPair': str(currencyPair).upper(),
                'rate': str(rate),
                'amount': str(amount),
                'lendingRate': str(lendingRate)
            })

    def marginSell(self, currencyPair, rate, amount, lendingRate=2):
        """ Places a margin sell order in a given market. Parameters and output
        are the same as for the marginBuy method. """
        return self.__call__(
            'marginSell', {
                'currencyPair': str(currencyPair).upper(),
                'rate': str(rate),
                'amount': str(amount),
                'lendingRate': str(lendingRate)
            })

    def getMarginPosition(self, currencyPair='all'):
        """ Returns information about your margin position in a given market,
        specified by the "currencyPair" parameter. You may set
        "currencyPair" to "all" if you wish to fetch all of your margin
        positions at once. If you have no margin position in the specified
        market, "type" will be set to "none". "liquidationPrice" is an
        estimate, and does not necessarily represent the price at which an
        actual forced liquidation will occur. If you have no liquidation price,
        the value will be -1. (defaults to 'all')"""
        return self.__call__('getMarginPosition',
                             {'currencyPair': str(currencyPair).upper()})

    def closeMarginPosition(self, currencyPair):
        """ Closes your margin position in a given market (specified by the
        "currencyPair" parameter) using a market order. This call will also
        return success if you do not have an open position in the specified
        market. """
        return self.__call__('closeMarginPosition',
                             {'currencyPair': str(currencyPair).upper()})

    def createLoanOffer(self,
                        currency,
                        amount,
                        lendingRate,
                        autoRenew=0,
                        duration=2):
        """ Creates a loan offer for a given currency. Required parameters are
        "currency", "amount", "lendingRate", "duration" (num of days, defaults
        to 2), "autoRenew" (0 or 1, defaults to 0 'off'). """
        return self.__call__(
            'createLoanOffer', {
                'currency': str(currency).upper(),
                'amount': str(amount),
                'duration': str(duration),
                'autoRenew': str(autoRenew),
                'lendingRate': str(lendingRate)
            })

    def cancelLoanOffer(self, orderNumber):
        """ Cancels a loan offer specified by the "orderNumber" parameter. """
        return self.__call__('cancelLoanOffer',
                             {'orderNumber': str(orderNumber)})

    def returnOpenLoanOffers(self):
        """ Returns your open loan offers for each currency. """
        return self.__call__('returnOpenLoanOffers')

    def returnActiveLoans(self):
        """ Returns your active loans for each currency."""
        return self.__call__('returnActiveLoans')

    def returnLendingHistory(self, start=False, end=False, limit=False):
        """ Returns your lending history within a time range specified by the
        "start" and "end" parameters as UNIX timestamps. "limit" may also
        be specified to limit the number of rows returned. (defaults to the last
        months history)"""
        if not start:
            start = time() - self.MONTH
        if not end:
            end = time()
        args = {'start': str(start), 'end': str(end)}
        if limit:
            args['limit'] = str(limit)
        return self.__call__('returnLendingHistory', args)

    def toggleAutoRenew(self, orderNumber):
        """ Toggles the autoRenew setting on an active loan, specified by the
        "orderNumber" parameter. If successful, "message" will indicate
        the new autoRenew setting. """
        return self.__call__('toggleAutoRenew',
                             {'orderNumber': str(orderNumber)})
Ejemplo n.º 32
0
                        '--load_model',
                        dest='load_model',
                        action='store_true')
    parser.add_argument('-loadf',
                        '--load_folder_file',
                        dest='load_folder_file',
                        type=str)
    parser.add_argument('-iterexamp',
                        '--num_iters_example',
                        dest='numItersForTrainExamplesHistory',
                        type=int,
                        default=20)
    args = parser.parse_args()

    fh = open(os.path.join("..", "data", "puzzle1.txt"))
    fcontent = fh.read()
    fh.close()

    sys.setrecursionlimit(10000)
    g = game(fcontent)

    nnet = nn(g, args)

    if args.load_model:
        nnet.load_checkpoint(args.load_folder_file)

    c = Coach(g, nnet, args)
    if args.load_model:
        print("Load trainExamples from file")
        c.loadTrainExamples()
    c.learn()
Ejemplo n.º 33
0
import torch
import gym
import boardgame2
import torch
import numpy

discount = 0.9
batch_size = 512
n_agents = 1
update_interval = 25
games = 20000
rate = 0.001

coach = Coach(env="CartPole-v0",
              loss_fn=Coach.reinforce,
              optim=torch.optim.RMSprop,
              n_agents=n_agents,
              flatten=True,
              )

agent = Softmax_Agent(model=
                            torch.nn.Sequential(torch.nn.Linear(8,32),
                                                torch.nn.Dropout(0.06),
                                                torch.nn.Tanh(),
                                                torch.nn.Linear(32,32),
                                                torch.nn.Dropout(0.06),
                                                torch.nn.Tanh(),
                                                torch.nn.Linear(32, coach.actions),
                                                ),
                        batch=batch_size,
                        n_agents=n_agents
                      )
Ejemplo n.º 34
0
game = Checkers()
dqn = DQN()

NUM_EPOCHS = 80
NUM_TRAIN_GAMES = 200
NUM_EVAL_GAMES = 20
HALF = int(NUM_EVAL_GAMES/2)
TRAIN_EPSILON = 0.4
GAMMA = 0.8
EVAL_EPSILON = 0.01
LR = 0.0001
PATH = "models/test.pt"

coach = Coach(
	game=game,
	nnet=dqn,
	lr=LR)

num_improvements = 0
for _ in range(NUM_EPOCHS):
	## Saving a copy of the current network weights to pnet
	torch.save(coach.nnet.state_dict(), PATH)
	coach.pnet.load_state_dict(torch.load(PATH))

	for _ in tqdm(range(NUM_TRAIN_GAMES), desc="Self play"):
		data = coach.execute_episode(
			epsilon=TRAIN_EPSILON,
			gamma=GAMMA)

		data = torch.stack(data)
		coach.learn(data)
Ejemplo n.º 35
0
from RULEngine.Framework import Framework
from coach import Coach
from config.config_service import ConfigService

__author__ = 'RoboCupULaval'


def set_arg_parser():
    # TODO add mode debug, redirect, pathfinder!
    prog_desc = "Module de l'intelligence artificielle. L'option est de charger un fichier de configuration."
    arg_parser = argparse.ArgumentParser(prog="RobocupULaval's Team ULtron AI", description=prog_desc)

    arg_parser.add_argument('config_file', nargs='?', help="load a configuration file(.ini/cfg style)",
                            default="config/sim_kalman_redirect.cfg")

    return arg_parser

if __name__ == '__main__':
    # parser for command line arguments
    parser = set_arg_parser()
    args = parser.parse_args()

    config_service = ConfigService().load_file(args.config_file)
    # ai init
    ai_coach = Coach()
    # RULEngine init
    framework = Framework()
    # Starting point
    framework.start_game(ai_coach.main_loop, ai_coach.set_reference)