Best Python code snippet using localstack_python
DormanPrins_lab2.py
Source:DormanPrins_lab2.py  
...27        tk = tm.t128        t = tm.t029        y0 = tm.x030        tn = 031        y4 = np.empty(tm.get_order())32        y5 = np.empty(tm.get_order())33        y6 = np.empty(tm.get_order())34        bet = np.empty(6)35        while t < tk:36            self.k = np.resize(self.k, (1, tm.get_order()))37            hs = self.h38            temp = np.empty(tm.get_order())39            for i in range(len(y0)):40                temp[i] = y0[i]4142            self.k = np.row_stack((self.k, tm.get_right(temp, t)))43            self.k = np.delete(self.k, 0, 0)44            for i in range(tm.get_order()):45                temp[i] = y0[i] + self.h * self.a[1, 0] * self.k[0][i]4647            self.k = np.row_stack((self.k, tm.get_right(temp, t)))48            for i in range(tm.get_order()):49                temp[i] = y0[i] + self.h * (self.a[2, 0] * self.k[0][i] + self.a[2, 1] * self.k[1][i])5051            self.k = np.row_stack((self.k, tm.get_right(temp, t)))52            for i in range(tm.get_order()):53                temp[i] = y0[i] + self.h * (54                    self.a[3, 0] * self.k[0][i] + self.a[3, 1] * self.k[1][i] + self.a[3, 2] * self.k[2, i])5556            self.k = np.row_stack((self.k, tm.get_right(temp, t)))57            for i in range(tm.get_order()):58                temp[i] = y0[i] + self.h * (59                    self.a[4, 0] * self.k[0][i] + self.a[4, 1] * self.k[1][i] + self.a[4, 2] * self.k[2][i] + self.a[60                        4, 3] * self.k[3][i])6162            self.k = np.row_stack((self.k, tm.get_right(temp, t)))63            for i in range(tm.get_order()):64                temp[i] = y0[i] + self.h * (65                    self.a[5, 0] * self.k[0][i] + self.a[5, 1] * self.k[1][i] + self.a[5, 2] * self.k[2][i] + self.a[66                        5, 3] * self.k[3][i] + self.a[5, 4] * self.k[4][i])6768            self.k = np.row_stack((self.k, tm.get_right(temp, t)))69            for i in range(tm.get_order()):70                temp[i] = y0[i] + self.h * (71                    self.a[6, 0] * self.k[0][i] + self.a[6, 1] * self.k[1][i] + self.a[6, 2] * self.k[2][i] + self.a[72                        6, 3] * self.k[3][i] + self.a[6, 4] * self.k[4][i] +73                    self.a[6, 5] * self.k[5][i])7475            self.k = np.row_stack((self.k, tm.get_right(temp, t)))76            for i in range(tm.get_order()):77                y4[i] = y0[i] + self.h * (self.b[0] * self.k[0][i] +78                                          self.b[1] * self.k[1][i] + self.b[2] * self.k[2][i] + self.b[3] * self.k[3][79                                              i] +80                                          self.b[4] * self.k[4][i] + self.b[5] * self.k[5][i] + self.b[6] * self.k[6][81                                              i])82                y5[i] = y0[i] + self.h * (self.b1[0] * self.k[0][i] +83                                          self.b1[1] * self.k[1][i] + self.b1[2] * self.k[2][i] + self.b1[3] *84                                          self.k[3][i] +85                                          self.b1[4] * self.k[4][i] + self.b1[5] * self.k[5][i] + self.b1[6] *86                                          self.k[6][i])87            at = model.getsize(y0)88            sum = 089            for i in range(at - 1):90                nevepi = math.pow((self.h * (y4[i] - y5[i]) / max(max(1e-5, abs(y4[i])),91                                                                  max(abs(y0[i]), 2 * self.u / self.geps))), 2)92                sum += nevepi93            eps = math.sqrt(sum / at)94            self.h = self.h / max(0.1, min(5.0, (math.pow((eps / self.geps), 0.2) / 0.9)))95            if self.geps < eps:96                continue97            while (tn < t + hs) and (tn < tm.t1):98                teta = (tn - t) / hs99                bet[0] = teta * (1 + teta * (-1337 / 480 + teta * (1039 / 360 + teta * (-1163 / 1152))))100                bet[1] = 0101                bet[2] = 100 * math.pow(teta, 2) * (1054 / 9275 + teta * (-4682 / 27825 + teta * (379 / 5565))) / 3102                bet[3] = -5 * math.pow(teta, 2) * (27 / 40 + teta * (-9 / 5 + teta * (83 / 96))) / 2103                bet[4] = 18225 * math.pow(teta, 2) * (-3 / 250 + teta * (22 / 375 + teta * (-37 / 600))) / 848104                bet[5] = -22 * math.pow(teta, 2) * (-3 / 10 + teta * (29 / 30 + teta * (-17 / 24))) / 7105                for i in range(tm.get_order()):106                    y6[i] = y0[i]107                    for j in range(5):108                        y6[i] = y6[i] + hs * bet[j] * self.k[j][i]109                tm.add_result(y6, tn)110                tn = tn + tm.sampling_increment111            t = t + hs112            y0 = np.empty(len(y4))113            for i in range(len(y4)):
...api_kucoin.py
Source:api_kucoin.py  
...30def USDT_AMPL_ETH_USDT(a, b, c):31    s = str(round(quantity/a, 2)) # FAZER COM 2 CASAS DECIMAIS32    order = client.create_limit_order(str(pairs[0]), Client.SIDE_BUY, a, size=s) # quantidade da moeda a comprar33    34    while(client.get_order(order['orderId'])['isActive'] == True):35        continue36    qq = float(client.get_order(order['orderId'])['size']) - float(client.get_order(order['orderId'])['fee'])37    qq = str(round(qq, 2))38    order1 = client.create_limit_order(pairs[1], Client.SIDE_SELL, b, qq)39    while(client.get_order(order1['orderId'])['isActive'] == True):40        continue41    qq1 = float(client.get_order(order1['orderId'])['size']) - float(client.get_order(order1['orderId'])['fee'])42    qq1 = str(round(qq1*b, 5))43    order2 = client.create_limit_order(pairs[2], Client.SIDE_SELL, c, qq1)44    print("Completed")45def USDT_ETH_AMPL_USDT(a, b, c):46    s = str(round(quantity/c,5))47    order = client.create_limit_order(pairs[2], Client.SIDE_BUY, c, size=s)48    while(client.get_order(order['orderId'])['isActive'] == True):49        continue50    qq = float(client.get_order(order['orderId'])['size']) - float(client.get_order(order['orderId'])['fee'])51    qq = str(round(qq/b,2))    52    order1 = client.create_limit_order(pairs[1], Client.SIDE_BUY, b, qq)53    while(client.get_order(order1['orderId'])['isActive'] == True):54        continue55    qq1 = float(client.get_order(order1['orderId'])['size']) - float(client.get_order(order1['orderId'])['fee'])56    qq1 = str(round(qq1, 2))57    order2 = client.create_limit_order(pairs[0], Client.SIDE_SELL, a, qq1)58    print("Completed")59def prints(x, var, swag, swag1,a,b,c):60    print(date(var-460))61    print("balance: "+str(quantity))62    print(str(round(swag,5))+f" {coin}-USDT > {coin}-{pair}")63    64    print(str(round(swag1,5))+f" {coin}-USDT < {coin}-{pair}")65    vr = b * c66    print(f"{coin}-USDT: "+str(a)+f" {coin}-{pair}: "+str(b*c)+f" {pair}-USDT: "+str(c))67    68def sell_buy_sell(quantidade):69    var = int(client.get_timestamp()/1000)...04-order-obj.py
Source:04-order-obj.py  
1def initialize(context):2    context.us_stock = symbol('VTI')3def handle_data(context, data):4    o_object = order(symbol('AAPL'), 5)5    print get_order(o_object).status6    print get_order(o_object).created7    print get_order(o_object).stop8    print get_order(o_object).limit9    print get_order(o_object).amount10    print get_order(o_object).sid11    print get_order(o_object).filled12    print get_order(o_object).stop_reached13    print get_order(o_object).limit_reached14    print get_order(o_object).commission...Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.
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