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How to use is_simple method in Sure

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bot_12h.py

Source:bot_12h.py

...83    higth_part = candle['high'] - max([candle['open'], candle['close']])84    middle = candle['open'] - candle['close']85    low_part = min([candle['open'], candle['close']]) - candle['low']86    return True if (abs(middle) + (low_part * SWORD_MULTIPLIER)) < higth_part else False87def is_simple(candle):88    return True if not is_dodge(candle) and not is_hummer(candle) and not is_sword(candle) else False89def is_fat(candle):90    if COEF_ALL_CANDLE_MID > (candle['high'] - candle['low']) / (91                abs(candle['close'] - candle['open']) + 0.0001) > COEF_ALL_CANDLE_MIN and COEF_HIGH_LOW_MIN < (92                candle['high'] - max([candle['close'], candle['open']])) / (93                    min([candle['close'], candle['open']]) - candle['low'] + 0.0001) < COEF_HIGH_LOW_MAX:94        return True95    else:96        return False97def is_raise_vol(candle1, candle2):98    return True if candle2['volume'] > candle1['volume'] else False99def candle_12h_creator(candles_data):100    for i in range(len(candles_data)):101        if candles_data[0]['date'] % 43200 != 0:102            candles_data = candles_data[1:]103        else:104            break105    if len(candles_data) % 3 == 1:106        candles_data = candles_data[:-1]107    elif len(candles_data) % 3 == 2:108        candles_data = candles_data[:-2]109    elif len(candles_data) % 3 == 0:110        candles_data = candles_data[:-3]111    candles_12h_data = []112    candle_3na4 = []113    for candle in candles_data:114        candle_3na4.append(candle)115        if len(candle_3na4) == 3:116            candle_12h = {'high': (117                max([float(candle_3na4[0]['high']), float(candle_3na4[1]['high']), float(candle_3na4[2]['high'])])),118                'low': (min([float(candle_3na4[0]['low']), float(candle_3na4[1]['low']), float(candle_3na4[2]['low'])])),119                'volume': (sum([float(candle_3na4[0]['volume']), float(candle_3na4[1]['volume']), float(candle_3na4[2]['volume'])])),120                'close': float(candle_3na4[2]['close']), 'open': float(candle_3na4[0]['open']),121                'date': int(candle_3na4[0]['date'])}122            candle_3na4 = []123            candles_12h_data.append(candle_12h)124    return candles_12h_data125def check_hard_condition(candle):126    candle_close = candle['close']127    candle_open = candle['open']128    candle_high = candle['high']129    candle_low = candle['low']130    if candle_close > candle_open:131        close_open = candle_close - candle_open132        high_candle = candle_high - candle_close133        candle_low = candle_open - candle_low if \134            candle_open != candle_low else 0.0001135    elif candle_close < candle_open:136        close_open = candle_open - candle_close137        high_candle = candle_high - candle_open138        candle_low = candle_close - candle_low if \139            candle_close != candle_low else 0.0001140    else:141        close_open = 0.0001142        candle_low = candle_close - candle_low if \143            candle_close != candle_low else 0.0001144        high_candle = candle_high - candle_open145    if high_candle / close_open > HIGHER_COEF \146            and high_candle / candle_low > LOWER_COEF:147        return False148    else:149        return True150def main():151    polo = create_poloniex_connection()152    logging.basicConfig(level=logging.INFO,153                        format='%(asctime)s %(levelname)s %(message)s',154                        datefmt='%H:%M:%S',155                        filename='{}log/logger{}.log'.format(PROJECT_PATH,156                                                             time.strftime('%Y_%m_%d', datetime.datetime.now(157                                                             ).timetuple())))158    with open(PROJECT_PATH + 'bot_daily_btc_pairs.json') as data_file:159        pairs_bought = json.load(data_file)160    with open(PROJECT_PATH + 'bot_daily_btc_date.json') as data_file:161        last_bought_date = json.load(data_file)162    if pairs_bought != '':163        if pairs_bought != 'no pairs':164            balances = polo.returnBalances()165            null_balances_pairs = 0166            for pair in pairs_bought:167                altcoin_amount = float(balances[pair['name'].split('_')[-1]])168                if altcoin_amount > 0:169                    current_buy_glass = polo.returnOrderBook(pair['name'], depth=DEPTH_OF_SELLING_GLASS)['bids']170                    sum_previous = 0171                    sell_price = 0172                    for order in current_buy_glass:173                        sum_previous += float(order[1])174                        if float(sum_previous) >= BUY_ENSURE_COEF * altcoin_amount:175                            while True:176                                sell_price = float(order[0])177                                if sell_price != 0:178                                    break179                                else:180                                    logging.info('Sell price of {} = 0'.format(pair['name']))181                            break182                    two_h_data = polo.returnChartData(183                        pair['name'], period=CANDLE_2H_PERIOD, start=last_bought_date - CANDLE_2H_PERIOD)[:-1]184                    candles_2h_data = [185                        {'high': float(candle['high']), 'low': float(candle['low']), 'volume': float(candle['volume']),186                         'close': float(candle['close']), 'open': float(candle['open'])}187                        for candle in two_h_data188                    ]189                    first_candle_condition = True if len(candles_2h_data) == 1 and is_green(190                        candles_2h_data[0]) and is_hummer(candles_2h_data[0]) else False191                    second_candle_condition = False192                    if len(candles_2h_data) == 2 and ((is_green(candles_2h_data[0]) and is_green(193                            candles_2h_data[1]) and ((is_simple(candles_2h_data[0]) and is_simple(194                        candles_2h_data[1]) and not is_raise_vol(candles_2h_data[0], candles_2h_data[1])) or (195                                    is_simple(candles_2h_data[0]) and is_dodge(candles_2h_data[1])) or (196                                        is_sword(candles_2h_data[0]) and is_hummer(197                                        candles_2h_data[1])))) or (not is_green(candles_2h_data[0]) and is_green(198                        candles_2h_data[1]) and ((is_simple(candles_2h_data[0]) and is_hummer(199                        candles_2h_data[1]) and not is_raise_vol(candles_2h_data[0], candles_2h_data[1])) or (200                                    is_hummer(candles_2h_data[0]) and is_simple(201                                    candles_2h_data[1]) and not is_raise_vol(202                                candles_2h_data[0], candles_2h_data[1])))) or (203                                        not is_green(candles_2h_data[0]) and not is_green(204                                        candles_2h_data[1]) and is_sword(candles_2h_data[0]) and is_simple(205                                candles_2h_data[1])) or (is_green(candles_2h_data[0]) and not is_green(206                                            candles_2h_data[1]) and is_hummer(candles_2h_data[0]) and is_simple(207                                    candles_2h_data[0]) and not is_raise_vol(candles_2h_data[0], candles_2h_data[1]))):208                        second_candle_condition = True209                    third_candle_condition = False210                    if len(candles_2h_data) == 3 and ((is_green(candles_2h_data[0]) and not is_green(211                            candles_2h_data[1]) and not is_green(candles_2h_data[2]) and is_simple(212                        candles_2h_data[1]) and ((is_hummer(candles_2h_data[0]) and is_simple(candles_2h_data[2])) or (213                                is_sword(candles_2h_data[0]) and is_sword(candles_2h_data[2])))) or (214                                                is_green(candles_2h_data[0]) and not is_green(215                                                candles_2h_data[1]) and is_green(candles_2h_data[2]) and is_simple(216                                        candles_2h_data[0]) and is_simple(candles_2h_data[1]) and is_sword(217                                candles_2h_data[2])) or (218                                                is_green(candles_2h_data[0]) and is_green(219                                                candles_2h_data[1]) and is_green(candles_2h_data[2]) and is_simple(220                                        candles_2h_data[0]) and is_hummer(221                                    candles_2h_data[1]) and is_simple(candles_2h_data[2]))):222                        third_candle_condition = True223                        224                    fourth_candle_condition = False225                    if len(candles_2h_data) == 4 and ((is_green(candles_2h_data[0]) and is_green(226                            candles_2h_data[1]) and is_green(candles_2h_data[2]) and is_green(227                        candles_2h_data[3]) and is_simple(candles_2h_data[0]) and is_simple(228                        candles_2h_data[1]) and is_hummer(candles_2h_data[2]) and is_sword(candles_2h_data[3])) or (229                                                is_green(candles_2h_data[0]) and is_green(230                                                candles_2h_data[1]) and is_green(231                                            candles_2h_data[2]) and not is_green(232                                        candles_2h_data[3]) and is_simple(candles_2h_data[0]) and is_simple(233                                        candles_2h_data[1]) and is_simple(candles_2h_data[2]) and is_sword(234                                candles_2h_data[3])) or (is_green(candles_2h_data[0]) and is_green(235                        candles_2h_data[1]) and not is_green(236                        candles_2h_data[2]) and not is_green(237                        candles_2h_data[3]) and is_simple(candles_2h_data[0]) and is_simple(238                        candles_2h_data[1]) and is_simple(candles_2h_data[2]) and is_simple(candles_2h_data[3]))):239                        fourth_candle_condition = True240                    if (time.time() - last_bought_date >= (CANDLE_4H_PERIOD * PERIOD_MOD) or sell_price < STOP_LOSS *241                        pair['price'] or sell_price > TAKE_PROFIT * pair['price']) or first_candle_condition or \242                            second_candle_condition or third_candle_condition or fourth_candle_condition:243                        polo.sell(pair['name'], sell_price, altcoin_amount)244                        logging.info(245                            'Selling {} {}. Price: {}'.format(altcoin_amount, pair['name'].split('_')[-1], sell_price))246                        gm = Gmail(GMAIL_USER, GMAIL_PASSWORD)247                        gm.send_message('SELL_DAILY', 'Selling {} {}. Price: {}. Time: {}'.format(248                            altcoin_amount, pair['name'].split('_')[-1], sell_price, datetime.datetime.now()))249                    if float(polo.returnBalances()[pair['name'].split('_')[-1]]) > 0:250                        null_balances_pairs += 1251            if (time.time() - float(last_bought_date)) >= (CANDLE_4H_PERIOD * PERIOD_MOD) and null_balances_pairs == 0:252                with open(PROJECT_PATH + 'bot_daily_btc_pairs.json', 'w') as f:...

resnet.py

Source:resnet.py

1# -*- coding: utf-8 -*-2"""3LICENSE: MulanPSL24AUTHOR:  cnhemiya@qq.com5DATE:    2022-05-06 22:416ææ¡£è¯´æ: ResNet ç½ç»æ¨¡å7"""8import paddle9import paddle.nn as nn10import paddle.nn.functional as F11class ResNetBlock(nn.Layer):12    """13    ResNetBlock æ¨¡å14    """15    def __init__(self, channels, stride=1, sample_stride=2, is_sample=False, is_simple=False):16        """17        ResNetBlock æ¨¡å18        Args:19            channels (list|tuple): 3ä¸ª, 0è¾å¥éé, 1ä¸é´éé, 2è¾åºéé20            stride (int, optional): æ¨¡åæ¥å¹ï¼é»è®¤ 1.21            sample_stride (int, optional): éæ ·æ¨¡åæ¥å¹ï¼é»è®¤ 222            is_sample (bool, optional): æ¯å¦éæ ·æ¨¡åï¼é»è®¤ False, é»è®¤ ä¸æ¯éæ ·æ¨¡å23            is_simple (bool, optional): æ¯å¦ç®ææ¨¡åï¼é»è®¤ False, é»è®¤ ä¸æ¯ç®ææ¨¡å24        """25        super(ResNetBlock, self).__init__()26        self.is_sample = is_sample  # æ¯å¦éæ ·æ¨¡å27        self.is_simple = is_simple  # æ¯å¦ç®ææ¨¡å28        in_channels = channels[0]   # è¾å¥éé29        mid_channels = channels[1]  # ä¸é´éé30        out_channels = channels[2]  # è¾åºéé31        # æ®å·®æ¨¡å32        self.block = nn.Sequential()33        if (is_simple):34            # ç®ææ¨¡å35            self.block = nn.Sequential(36                nn.Conv2D(in_channels=in_channels, out_channels=mid_channels,37                          kernel_size=3, stride=stride, padding=1),38                nn.BatchNorm(num_channels=mid_channels),39                nn.ReLU(),40                nn.Conv2D(in_channels=mid_channels, out_channels=out_channels,41                          kernel_size=3, stride=1, padding=1),42                nn.BatchNorm(num_channels=out_channels)43            )44        else:45            # æ£å¸¸æ¨¡å46            self.block = nn.Sequential(47                nn.Conv2D(in_channels=in_channels, out_channels=mid_channels,48                          kernel_size=1, stride=1, padding=0),49                nn.BatchNorm(num_channels=mid_channels),50                nn.ReLU(),51                nn.Conv2D(in_channels=mid_channels, out_channels=mid_channels,52                          kernel_size=3, stride=stride, padding=1),53                nn.BatchNorm(num_channels=mid_channels),54                nn.ReLU(),55                nn.Conv2D(in_channels=mid_channels, out_channels=out_channels,56                          kernel_size=1, stride=1, padding=0),57                nn.BatchNorm(num_channels=out_channels)58            )59        if (is_sample):60            # éæ ·æ¨¡å61            self.sample_block = nn.Sequential(62                nn.Conv2D(in_channels=in_channels, out_channels=out_channels,63                          kernel_size=1, stride=sample_stride, padding=0),64                nn.BatchNorm(num_channels=out_channels)65            )66    def forward(self, x):67        residual = x68        y = self.block(x)69        if (self.is_sample):70            residual = self.sample_block(x)71        x = paddle.add(x=residual, y=y)72        x = F.relu(x)73        return x74class ResNet(nn.Layer):75    """76    ResNet ç½ç»æ¨¡å77    è¾å¥å¾åå¤§å°ä¸º 224 x 22478    """79    def __init__(self, blocks, num_classes=10, is_simple=False):80        """81        ResNet ç½ç»æ¨¡å82        Args:83            blocks (list|tuple): æ¯æ¨¡åæ°é84            num_classes (int, optional): åç±»æ°é, é»è®¤ 1085            is_simple (bool, optional): æ¯å¦ç®ææ¨¡åï¼é»è®¤ False, é»è®¤ ä¸æ¯ç®ææ¨¡å86        Raises:87            Exception: åç±»æ°é num_classes < 288        """89        super(ResNet, self).__init__()90        if num_classes < 2:91            raise Exception(92                "åç±»æ°é num_classes å¿é¡»å¤§äºçäº 2: {}".format(num_classes))93        self.num_classes = num_classes  # åç±»æ°é94        self.is_simple = is_simple  # æ¯å¦ç®ææ¨¡å95        # ç®ææ¨¡åéé, [0è¾å¥éé, 1ä¸é´éé, 2è¾åºéé]96        self.simple_channels = [[64, 64, 128],97                                [128, 128, 256],98                                [256, 256, 512],99                                [512, 512, 512]]100        # æ£å¸¸æ¨¡åéé, [0è¾å¥éé, 1ä¸é´éé, 2è¾åºéé]101        self.base_channels = [[64, 64, 256],102                              [256, 128, 512],103                              [512, 256, 1024],104                              [1024, 512, 2048]]105        # è¾å¥æ¨¡å106        self.in_block = nn.Sequential(107            nn.Conv2D(in_channels=3, out_channels=64,108                      kernel_size=7, stride=2, padding=3),109            nn.BatchNorm(num_channels=64),110            nn.ReLU(),111            nn.MaxPool2D(kernel_size=3, stride=2, padding=1)112        )113        # å¤çæ¨¡å114        self.block = self.make_blocks(blocks)115        # è¾åºæ¨¡å116        self.avg_pool = nn.AvgPool2D(kernel_size=7, stride=1)117        self.features = 512 if is_simple else 2048118        self.fc = nn.Linear(self.features, num_classes)119    def forward(self, x):120        x = self.in_block(x)121        x = self.block(x)122        x = self.avg_pool(x)123        # flatten æ ¹æ®ç»å®ç start_axis å stop_axis å°è¿ç»çç»´åº¦å±å¹³124        x = paddle.flatten(x, start_axis=1, stop_axis=-1)125        x = self.fc(x)126        return x127    def make_blocks(self, blocks):128        """129        çææææ¨¡å130        Args:131            blocks (list|tuple): æ¯æ¨¡åæ°é132        Returns:133            paddle.nn.Sequential: æææ¨¡åé¡ºåºè¿æ¥134        """135        seq = []136        is_in_block = True137        for block_index in range(len(blocks)):138            is_first_block = True139            for i in range(blocks[block_index]):140                seq.append(self.make_one_block(block_index=block_index,141                                               is_in_block=is_in_block, is_first_block=is_first_block))142                is_first_block = False143            is_in_block = False144        return nn.Sequential(*seq)145    def make_one_block(self, block_index: int, is_in_block: bool, is_first_block: bool):146        """147        çæä¸ä¸ªæ¨¡å148        Args:149            block_index (int): æ¨¡åç´¢å¼150            is_in_block (bool): æ¯å¦æ®å·®è¾å¥æ¨¡å151            is_first_block (bool): æ¯å¦ç¬¬ä¸æ¨¡å152        Returns:153            ResNetBlock: æ®å·®æ¨¡å154        """155        net = None156        stride = 1157        sample_stride = 2158        if is_in_block:159            stride = 1 if is_first_block else 1160            sample_stride = 1 if is_first_block else 2161        else:162            stride = 2 if is_first_block else 1163            sample_stride = 2164        channels1 = self.simple_channels[block_index] if self.is_simple else self.base_channels[block_index]165        if is_first_block:166            net = ResNetBlock(channels=channels1, stride=stride, sample_stride=sample_stride,167                              is_sample=is_first_block, is_simple=self.is_simple)168        else:169            channels2 = [channels1[2], channels1[1], channels1[2]]170            net = ResNetBlock(channels=channels2, stride=stride, sample_stride=sample_stride,171                              is_sample=is_first_block, is_simple=self.is_simple)172        return net173def get_resnet(num_classes: int, resnet=50):174    """175    è·å ResNet ç½ç»æ¨¡å176    Args:177        num_classes (int, optional): åç±»æ°é178        resnet (int, optional): ResNetæ¨¡åéé¡¹, é»è®¤ 50, å¯é 18, 34, 50, 101, 152179    Returns:180        ResNet: ResNet ç½ç»æ¨¡å181    """182    if resnet not in [18, 34, 50, 101, 152]:183        raise Exception(184            "resnet å¯é 18, 34, 50, 101, 152, å®é: {}".format(resnet))185    net = None186    if resnet == 18:187        net = ResNet([2, 2, 2, 2], num_classes, is_simple=True)188    elif resnet == 34:189        net = ResNet([3, 4, 6, 3], num_classes, is_simple=True)190    elif resnet == 50:191        net = ResNet([3, 4, 6, 3], num_classes, is_simple=False)192    elif resnet == 101:193        net = ResNet([3, 4, 23, 3], num_classes, is_simple=False)194    elif resnet == 152:195        net = ResNet([3, 8, 36, 3], num_classes, is_simple=False)...

consumer_groups.py

Source:consumer_groups.py

...56    @property57    def id(self) -> str:58        return self.__id59    @property60    def is_simple(self) -> str:61        return self.__is_simple62    @property63    def partition_assignor(self) -> str:64        return self.__partition_assignor65    @property66    def state(self) -> str:67        return self.__state68    @property69    def broker_coordinator(self) -> str:70        return f'{kConn.kafka_rest_api}/{self.__broker_coordinator}'71    @property72    def consumers_url(self) -> str:73        74        return f'{kConn.kafka_rest_api}/{self.__consumers_url}'...

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