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How to use all_on method in tavern

Best Python code snippet using tavern

keypad-ha.py

Source:keypad-ha.py

...161    ws.send(hue_command_ramp_generator(id_stamp, "light.hue_color_candle_2", BRIGHTNESS, "turn_on"))162    ws.send(hue_command_ramp_generator(id_stamp, "light.hue_ambiance_candle_1", BRIGHTNESS, "turn_on"))163    all_on[0] = True164    future.set_result(True)165async def fan_all_on(future, all_on):166    ws.send(hue_command_off_generator(id_stamp, "light.hue_color_candle_1", "turn_on"))167    ws.send(hue_command_off_generator(id_stamp, "light.hue_color_candle_2", "turn_on"))168    ws.send(hue_command_off_generator(id_stamp, "light.hue_ambiance_candle_1", "turn_on"))169    all_on[0] = False170    future.set_result(True)171async def fan_all_off(future, all_on):172    ws.send(hue_command_off_generator(id_stamp, "light.hue_color_candle_1", "turn_off"))173    ws.send(hue_command_off_generator(id_stamp, "light.hue_color_candle_2", "turn_off"))174    ws.send(hue_command_off_generator(id_stamp, "light.hue_ambiance_candle_1", "turn_off"))175    all_on[0] = True176    future.set_result(True)177async def fan_all_toggle(future, all_on):178    if (ALL_ON[0] == True):179        await fan_all_on(future, all_on)180    elif(ALL_ON[0] == False):181        await fan_all_off(future, all_on)182class DeviceAction:183    def __init__(self, action, params, cond):184        self.params = params185        self.action = action186        self.condition = cond187    def shouldExecute(self, ev, key):188        res = self.condition(key, ev)189        return res190    191    def action(self):192        return self.action193    ...

customer_churn_exam.py

Source:customer_churn_exam.py

1#ë¡ì§ì¤í± ëª¨ë¸ì íµí´ ì´íê³ ê° ìì¸¡íê¸°23import numpy as np4import pandas as pd5import statsmodels.api as sm6from itertools import combinations789churn = pd.read_csv('churn.csv', sep = ',', header = 0)10churn.columns = [heading.lower() for heading in \11                 churn.columns.str.replace(' ', '_').str.replace("\'", "").str.strip('?')]1213churn['churn01'] = np.where(churn['churn'] == 'True.', 1., 0.)141516colums_list = ['VMail_Message','intl_plan1','vmail_plan1','custserv_calls',17               'Day_Mins','Day_Calls','Eve_Mins','Eve_Calls','Night_Mins',18               'Night_Calls','Intl_Mins','Intl_Calls','total_charge']1920churn['total_charge']=churn['total_charges'] = churn['day_charge'] + churn['eve_charge'] + \21                         churn['night_charge'] + churn['intl_charge']2223dependent_variable = churn['churn01']2425churn['intl_plan1'] = np.where(churn['intl_plan'] == 'yes', 1, 0)26churn['vmail_plan1'] = np.where(churn['vmail_plan'] == 'yes', 1, 0)2728count_all=029all_time=[]30all_time2=[]31all_time3=[]32for num in range(1,5):33    combi_list = list(combinations(colums_list, num))34    for tuple_num in combi_list:35        count=036        alllist=[]37        for lens_num in tuple_num:38            lens_num=lens_num.lower()39            alllist.append(lens_num)404142        independent_variables = churn[alllist]43        independent_constant = sm.add_constant(independent_variables, prepend=True)44        logit_model = sm.Logit(dependent_variable, independent_constant).fit()4546        new_observations = churn.loc[churn.index.isin(range(len(churn))), independent_variables.columns]47        new_observations_constant = sm.add_constant(new_observations, prepend=True)48        y_predicted = logit_model.predict(new_observations_constant)49        y_predicted_rounded = [round(score, 0) for score in y_predicted]50        logistic_predicted_value_list = []51        false_on = 052        all_on = 053        for predict_value in y_predicted_rounded:54            if predict_value == 0.0:55                logistic_predicted_value_list.append(False)56            else:57                logistic_predicted_value_list.append(True)5859        for i in logistic_predicted_value_list:60            i = str(i) + '.'61            if i == churn['churn'][all_on]:62                false_on += 163            all_on += 16465        print(alllist)66        print("ì ëµë¥  %.2f%%" % ((false_on / all_on) * 100))67        if count_all<60000:68            all_time.append((false_on / all_on) * 100)69        elif count_all<120000:70            all_time2.append((false_on / all_on) * 100)71        elif count_all<180000:72            all_time3.append((false_on / all_on) * 100)7374        count_all+=1757677match_dic = sorted(all_time,reverse=True)78match_dic2 = sorted(all_time2,reverse=True)79match_dic3 = sorted(all_time3,reverse=True)80818283print(match_dic)84print('ì´ ì¡°í© ê°¯ì: %d'%count_all)85print("MAX ì¡°í©:",match_dic[0])86print("MAX2 ì¡°í©:",match_dic2[0])
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