How to use is_simple method in Sure

Best Python code snippet using sure_python

bot_12h.py

Source:bot_12h.py Github

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...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:...

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resnet.py

Source:resnet.py Github

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1# -*- coding: utf-8 -*-2"""3LICENSE: MulanPSL24AUTHOR: cnhemiya@qq.com5DATE: 2022-05-06 22:416文档说明: ResNet 网络模型7"""8import paddle9import paddle.nn as nn10import paddle.nn.functional as F11class ResNetBlock(nn.Layer):12 """13 ResNetBlock 模块14 """15 def __init__(self, channels, stride=1, sample_stride=2, is_sample=False, is_simple=False):16 """17 ResNetBlock 模块18 Args:19 channels (list|tuple): 3个, 0输入通道, 1中间通道, 2输出通道20 stride (int, optional): 模块步幅，默认 1.21 sample_stride (int, optional): 采样模块步幅，默认 222 is_sample (bool, optional): 是否采样模块，默认 False, 默认 不是采样模块23 is_simple (bool, optional): 是否简易模块，默认 False, 默认 不是简易模块24 """25 super(ResNetBlock, self).__init__()26 self.is_sample = is_sample # 是否采样模块27 self.is_simple = is_simple # 是否简易模块28 in_channels = channels[0] # 输入通道29 mid_channels = channels[1] # 中间通道30 out_channels = channels[2] # 输出通道31 # 残差模块32 self.block = nn.Sequential()33 if (is_simple):34 # 简易模块35 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 # 正常模块46 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 # 采样模块61 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 网络模型77 输入图像大小为 224 x 22478 """79 def __init__(self, blocks, num_classes=10, is_simple=False):80 """81 ResNet 网络模型82 Args:83 blocks (list|tuple): 每模块数量84 num_classes (int, optional): 分类数量, 默认 1085 is_simple (bool, optional): 是否简易模块，默认 False, 默认 不是简易模块86 Raises:87 Exception: 分类数量 num_classes < 288 """89 super(ResNet, self).__init__()90 if num_classes < 2:91 raise Exception(92 "分类数量 num_classes 必须大于等于 2: {}".format(num_classes))93 self.num_classes = num_classes # 分类数量94 self.is_simple = is_simple # 是否简易模块95 # 简易模块通道, [0输入通道, 1中间通道, 2输出通道]96 self.simple_channels = [[64, 64, 128],97 [128, 128, 256],98 [256, 256, 512],99 [512, 512, 512]]100 # 正常模块通道, [0输入通道, 1中间通道, 2输出通道]101 self.base_channels = [[64, 64, 256],102 [256, 128, 512],103 [512, 256, 1024],104 [1024, 512, 2048]]105 # 输入模块106 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 # 处理模块114 self.block = self.make_blocks(blocks)115 # 输出模块116 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 根据给定的 start_axis 和 stop_axis 将连续的维度展平124 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 生成所有模块130 Args:131 blocks (list|tuple): 每模块数量132 Returns:133 paddle.nn.Sequential: 所有模块顺序连接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 生成一个模块148 Args:149 block_index (int): 模块索引150 is_in_block (bool): 是否残差输入模块151 is_first_block (bool): 是否第一模块152 Returns:153 ResNetBlock: 残差模块154 """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 获取 ResNet 网络模型176 Args:177 num_classes (int, optional): 分类数量178 resnet (int, optional): ResNet模型选项, 默认 50, 可选 18, 34, 50, 101, 152179 Returns:180 ResNet: ResNet 网络模型181 """182 if resnet not in [18, 34, 50, 101, 152]:183 raise Exception(184 "resnet 可选 18, 34, 50, 101, 152, 实际: {}".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)...

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consumer_groups.py

Source:consumer_groups.py Github

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...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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