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How to use get_average method in lisa
Best Python code snippet using lisa_python
visualise.py
Source:visualise.py 
...52 age_avg, degree_avg = [[],[]]53 age_std, degree_std = [[],[]]54 for file_name in file_names:55 file = open(f"stats/fb_age_" + file_name)56 avg, std = get_average(file, index)57 age_avg += [avg]58 age_std += [std]59 file = open(f"stats/fb_degree_" + file_name)60 avg, std = get_average(file, index)61 degree_avg += [avg]62 degree_std += [std]63 # Plot graphs64 plt.subplot(121)65 plt.ylim(0,max(max(age_avg),max(degree_avg))+max(max(age_std),max(degree_std)))66 plt.errorbar(parameters, age_avg, yerr=age_std, label="age", marker="o", markersize=3, linestyle="dotted", linewidth=0.5, elinewidth=1)67 plt.subplot(122)68 plt.ylim(0,max(max(age_avg),max(degree_avg))+max(max(age_std),max(degree_std)))69 plt.errorbar(parameters, degree_avg, yerr=degree_std, label="degree", marker="o", markersize=3, linestyle="dotted", linewidth=0.5, elinewidth=1)70 plt.show()71def graph_methods(data, parameter):72 """73 This function plots the data for all vaccination methods in one graph.74 The parameters decide what is plotted:75 - data: this parameter decides which data to plot (time, infections or deaths).76 - parameter: this parameter decides which parameter of the model is on the y-axis.77 """78 # Generate index of data79 if data == "time":80 title = "Time taken for virus to die out for different values of " + parameter + "."81 ylabel = "time (days)"82 index = 183 elif data == "infections":84 title = "Total infections for different values of " + parameter + "."85 ylabel = "number of infections"86 index = 287 else:88 title = "Death toll for different values of " + parameter + "."89 ylabel = "death toll"90 index = 391 # Generate file name and list of values for correct parameter92 none_method = True93 if parameter == "infection_rate":94 parameters = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]95 file_names = []96 for p in parameters:97 file_names.append(f"{format(p, '.1f')}_5_10_25_0.05_0.05.txt")98 elif parameter == "incubation_period":99 parameters = [4, 5, 6, 7]100 file_names = []101 for p in parameters:102 file_names.append(f"1.0_{p}_10_25_0.05_0.05.txt")103 elif parameter == "infection_time":104 parameters = [6, 8, 10, 12, 14]105 file_names = []106 for p in parameters:107 file_names.append(f"1.0_5_{p}_25_0.05_0.05.txt")108 elif parameter == "vaccination_rate":109 none_method = False110 parameters = [15, 20, 25, 30, 35]111 file_names = []112 for p in parameters:113 file_names.append(f"1.0_5_10_{p}_0.05_0.05.txt")114 elif parameter == "vaccine_spread_effectiveness":115 none_method = False116 parameters = [0.03, 0.04, 0.05, 0.06, 0.07]117 file_names = []118 for p in parameters:119 file_names.append(f"1.0_5_10_25_{format(p, '.2f')}_0.05.txt")120 else:121 none_method = False122 parameters = [0.03, 0.04, 0.05, 0.06, 0.07]123 file_names = []124 for p in parameters:125 file_names.append(f"1.0_5_10_25_0.05_{format(p, '.2f')}.txt")126 # Find averages and standard deviations of data127 diff = 0.05 * (parameters[1] - parameters[0])128 if none_method:129 none_avg, none_std = [[],[]]130 for file_name in file_names:131 file = open("stats/fb_none_" + file_name)132 avg, std = get_average(file, index)133 none_avg += [avg]134 none_std += [std]135 parameters1 = [p - diff for p in parameters]136 plt.errorbar(parameters1, none_avg, yerr=none_std, label="none", marker="o", markersize=3, linestyle="dotted", linewidth=0.5, elinewidth=1)137 random_avg, age_avg, degree_avg = [[] for i in range(3)]138 random_std, age_std, degree_std = [[] for i in range(3)]139 for file_name in file_names:140 file = open(f"stats/fb_random_" + file_name)141 avg, std = get_average(file, index)142 random_avg += [avg]143 random_std += [std]144 file = open(f"stats/fb_age_" + file_name)145 avg, std = get_average(file, index)146 age_avg += [avg]147 age_std += [std]148 file = open(f"stats/fb_degree_" + file_name)149 avg, std = get_average(file, index)150 degree_avg += [avg]151 degree_std += [std]152 # Plot graphs153 diff = 0.05 * (parameters[1] - parameters[0])154 parameters2 = [p + diff for p in parameters]155 parameters3 = [p + 2 * diff for p in parameters]156 plt.errorbar(parameters, random_avg, yerr=random_std, label="random", marker="o", markersize=3, linestyle="dotted", linewidth=0.5, elinewidth=1)157 plt.errorbar(parameters2, age_avg, yerr=age_std, label="age", marker="o", markersize=3, linestyle="dotted", linewidth=0.5, elinewidth=1)158 plt.errorbar(parameters3, degree_avg, yerr=degree_std, label="degree", markersize=3, marker="o", linestyle="dotted", linewidth=0.5, elinewidth=1)159 plt.title(title)160 plt.ylabel(ylabel)161 plt.xlabel(parameter)162 plt.legend()163 plt.show()164def sensitivity(parameter):165 """166 This function prints the sensitivity for each parameter.167 """168 # Get averages of 20% deviations169 if parameter == "incubation_period":170 file = open("stats/fb_random_1.0_4_10_25_0.05_0.05.txt")171 avg_infected_1 = get_average(file, 2)[0]172 avg_death_1 = get_average(file, 3)[0]173 file = open("stats/fb_random_1.0_6_10_25_0.05_0.05.txt")174 avg_infected_2 = get_average(file, 2)[0]175 avg_death_2 = get_average(file, 3)[0]176 elif parameter == "infection_time":177 file = open("stats/fb_random_1.0_5_8_25_0.05_0.05.txt")178 avg_infected_1 = get_average(file, 2)[0]179 avg_death_1 = get_average(file, 3)[0]180 file = open("stats/fb_random_1.0_5_12_25_0.05_0.05.txt")181 avg_infected_2 = get_average(file, 2)[0]182 avg_death_2 = get_average(file, 3)[0]183 elif parameter == "vaccination_rate":184 file = open("stats/fb_random_1.0_5_10_20_0.05_0.05.txt")185 avg_infected_1 = get_average(file, 2)[0]186 avg_death_1 = get_average(file, 3)[0]187 file = open("stats/fb_random_1.0_5_10_30_0.05_0.05.txt")188 avg_infected_2 = get_average(file, 2)[0]189 avg_death_2 = get_average(file, 3)[0]190 elif parameter == "vaccine_spread_effectiveness":191 file = open("stats/fb_random_1.0_5_10_25_0.04_0.05.txt")192 avg_infected_1 = get_average(file, 2)[0]193 avg_death_1 = get_average(file, 3)[0]194 file = open("stats/fb_random_1.0_5_10_25_0.06_0.05.txt")195 avg_infected_2 = get_average(file, 2)[0]196 avg_death_2 = get_average(file, 3)[0]197 else:198 file = open("stats/fb_random_1.0_5_10_25_0.05_0.04.txt")199 avg_infected_1 = get_average(file, 2)[0]200 avg_death_1 = get_average(file, 3)[0]201 file = open("stats/fb_random_1.0_5_10_25_0.05_0.06.txt")202 avg_infected_2 = get_average(file, 2)[0]203 avg_death_2 = get_average(file, 3)[0]204 205 # Calculate differences on deviations206 diff_infected = abs(avg_infected_1 - avg_infected_2) / 2207 diff_death = abs(avg_death_1 - avg_death_2) / 2208 center_infected = (avg_infected_1 + avg_infected_2) / 2209 center_death = (avg_death_1 + avg_death_2) / 2210 211 print(parameter)212 print(" - 20% difference infected:", round(100 * diff_infected / center_infected, 1), "%")...
main.py
Source:main.py
...20 lektor.grades[course] = [grade]21 else:22 return 'ÐÑибка'23 def get_comparison (self, student):24 if get_average(self.grades) == get_average(student.grades):25 print('РавнÑ')26 if get_average(self.grades) > get_average(student.grades):27 print(28 f'СÑедние оÑенки {self.surname} {self.name} {get_average(self.grades)} лÑÑÑе Ñем {get_average(student.grades)} Ñ {student.surname} {student.name}')29 else:30 print(31 f'СÑедние оÑенки {student.surname} {student.name} {get_average(student.grades)} лÑÑÑе Ñем {get_average(self.grades)} Ñ {self.surname} {self.name}')32 return33 def __str__(self):34 lec = f"""ÐмÑ: {self.name} 35ФамилиÑ: {self.surname} 36СÑеднÑÑ Ð¾Ñенка за дз: {get_average(self.grades)}37ÐÑÑÑÑ Ð² пÑоÑеÑÑе изÑÑениÑ: {self.courses_in_progress}38ÐавеÑÑеннÑе кÑÑÑÑ: {self.finished_courses}39"""40 return lec41class Mentor:42 def __init__(self, name, surname):43 self.name = name44 self.surname = surname45 self.courses_attached = []46class Reviewer(Mentor):47 def __init__(self, name, surname):48 self.courses_attached = []49 super().__init__(name, surname)50 def rate_hw(self, student, course, grade):51 if isinstance(student, Student) and course in self.courses_attached and course in student.courses_in_progress:52 if course in student.grades:53 student.grades[course] += [grade]54 else:55 student.grades[course] = [grade]56 else:57 return 'ÐÑибка'58 def __str__(self):59 rev = f"""ÐмÑ: {self.name} 60ФамилиÑ: {self.surname}"""61 return rev62class Lecturer(Mentor):63 def __init__(self, name, surname):64 super().__init__(name, surname)65 self.grades = {}66 self.averege_grade = 067 def get_comparison(self, lektor):68 if get_average(self.grades) == get_average(lektor.grades):69 print('РавнÑ')70 if get_average(self.grades) > get_average(lektor.grades):71 print(f'СÑедние оÑенки {self.surname} {self.name} {get_average(self.grades)} лÑÑÑе Ñем {get_average(lektor.grades)} Ñ {lektor.surname} {lektor.name}')72 else:73 print(f'СÑедние оÑенки {lektor.surname} {lektor.name} {get_average(lektor.grades)} лÑÑÑе Ñем {get_average(self.grades)} Ñ {self.surname} {self.name}')74 return75 def __lt__(self, other):76 return self.averege_grade < other.averege_grade77 def __str__(self):78 lec = f"""ÐмÑ: {self.name} 79ФамилиÑ: {self.surname} 80СÑеднÑÑ Ð¾Ñенка за лекÑии: {get_average(self.grades)}81"""82 return lec83def get_average(grade_l):84 num = 085 null = 086 iter = 087 for i in grade_l.values():88 for p in i:89 if null < p:90 num += p91 iter +=192 else:93 continue94 res = num / iter95 return res96klubnickin = Lecturer('Grishka', 'Klubnickin')97klubnickin.courses_attached += ['Python']98arbuzov = Lecturer('Andrey', 'Arbuzov')99arbuzov.courses_attached += ['JS']100tomatov = Student('Ruslan', 'Tomatov', 'm')101tomatov.finished_courses += ['OOP']102tomatov.courses_in_progress += ['Python', 'JS']103tomatov.rate_lekt(klubnickin, 'Python', 8)104tomatov.rate_lekt(arbuzov, 'JS', 7)105ogurcova = Student('Natalia', 'Ogurcova', 'w')106ogurcova.finished_courses += ['JS']107ogurcova.courses_in_progress += ['Python', 'OOP']108ogurcova.rate_lekt(klubnickin, 'Python', 3)109ogurcova.averege_grade = 3110persikov = Reviewer('Valera', 'Persikov')111persikov.courses_attached += ['JS']112persikov.rate_hw(tomatov, 'JS', 10)113persikov.rate_hw(tomatov, 'JS', 8)114persikov.rate_hw(ogurcova, 'JS', 5)115persikov.rate_hw(ogurcova, 'JS', 10)116yablokov = Reviewer('Stanislav', 'Yablokov')117yablokov.courses_attached += ['Python']118yablokov.rate_hw(tomatov, 'Python', 6)119yablokov.rate_hw(tomatov, 'Python', 7)120yablokov.rate_hw(ogurcova, 'Python', 5)121yablokov.rate_hw(ogurcova, 'Python', 8)122Lecturer.get_comparison(klubnickin, arbuzov)123print(arbuzov)124print(klubnickin)125Student.get_comparison(ogurcova, tomatov)126print(ogurcova)127stud_l = [tomatov.grades, ogurcova.grades]128grades = []129def get_averange_course_stud(stud_l, course):130 num = 0131 null = 0132 iter = 0133 for stud in stud_l:134 if course in stud:135 grades.append(stud[course])136 for i in grades:137 for p in i:138 if null < p:139 num += p140 iter += 1141 else:142 continue143 res = num / iter144 grades.clear()145 return (f'Ðо кÑÑÑÑ {course} ÑÑеднÑÑ Ð¾Ñенка Ñ ÑÑÑденÑов {res}')146print(get_averange_course_stud(stud_l, 'JS'))147print(get_averange_course_stud(stud_l, 'Python'))148lect_l = [klubnickin.grades, arbuzov.grades]149grades_lec = []150def get_averange_course_lect(lect_l, course):151 num = 0152 null = 0153 iter = 0154 for lect in lect_l:155 if course in lect:156 grades_lec.append(lect[course])157 for i in grades_lec:158 for p in i:159 if null < p:160 num += p161 iter += 1162 else:163 continue164 res = num / iter165 grades_lec.clear()166 return (f'Ðо кÑÑÑÑ {course} ÑÑеднÑÑ Ð¾Ñенка Ñ Ð»ÐµÐºÑоÑов {res}')167print(get_averange_course_lect(lect_l, 'JS'))168print(get_averange_course_lect(lect_l, 'Python'))169tomatov.averege_grade = get_average(tomatov.grades)170ogurcova.averege_grade = get_average(ogurcova.grades)171klubnickin.averege_grade = get_average(klubnickin.grades)172arbuzov.averege_grade = get_average(arbuzov.grades)173is_lt_stud = (ogurcova < tomatov)174print(is_lt_stud)175is_lt_lect = (klubnickin > arbuzov)...
sensehat.py
Source:sensehat.py
...32 """Get CPU temperature."""33 res = os.popen("vcgencmd measure_temp").readline()34 t_cpu = float(res.replace("temp=", "").replace("'C\n", ""))35 return t_cpu36def get_average(temp_base):37 """Use moving average to get better readings."""38 if not hasattr(get_average, "temp"):39 get_average.temp = [temp_base, temp_base, temp_base]40 get_average.temp[2] = get_average.temp[1]41 get_average.temp[1] = get_average.temp[0]42 get_average.temp[0] = temp_base43 temp_avg = (get_average.temp[0] + get_average.temp[1]44 + get_average.temp[2]) / 345 return temp_avg46def setup_platform(hass, config, add_devices, discovery_info=None):47 """Set up the Sense HAT sensor platform."""48 data = SenseHatData(config.get(CONF_IS_HAT_ATTACHED))49 dev = []50 for variable in config[CONF_DISPLAY_OPTIONS]:51 dev.append(SenseHatSensor(data, variable))52 add_devices(dev, True)53class SenseHatSensor(Entity):54 """Representation of a Sense HAT sensor."""55 def __init__(self, data, sensor_types):56 """Initialize the sensor."""57 self.data = data58 self._name = SENSOR_TYPES[sensor_types][0]59 self._unit_of_measurement = SENSOR_TYPES[sensor_types][1]60 self.type = sensor_types61 self._state = None62 @property63 def name(self):64 """Return the name of the sensor."""65 return self._name66 @property67 def state(self):68 """Return the state of the sensor."""69 return self._state70 @property71 def unit_of_measurement(self):72 """Return the unit the value is expressed in."""73 return self._unit_of_measurement74 def update(self):75 """Get the latest data and updates the states."""76 self.data.update()77 if not self.data.humidity:78 _LOGGER.error("Don't receive data")79 return80 if self.type == 'temperature':81 self._state = self.data.temperature82 if self.type == 'humidity':83 self._state = self.data.humidity84 if self.type == 'pressure':85 self._state = self.data.pressure86class SenseHatData:87 """Get the latest data and update."""88 def __init__(self, is_hat_attached):89 """Initialize the data object."""90 self.temperature = None91 self.humidity = None92 self.pressure = None93 self.is_hat_attached = is_hat_attached94 @Throttle(MIN_TIME_BETWEEN_UPDATES)95 def update(self):96 """Get the latest data from Sense HAT."""97 from sense_hat import SenseHat98 sense = SenseHat()99 temp_from_h = sense.get_temperature_from_humidity()100 temp_from_p = sense.get_temperature_from_pressure()101 t_total = (temp_from_h + temp_from_p) / 2102 if self.is_hat_attached:103 t_cpu = get_cpu_temp()104 t_correct = t_total - ((t_cpu - t_total) / 1.5)105 t_correct = get_average(t_correct)106 else:107 t_correct = get_average(t_total)108 self.temperature = t_correct109 self.humidity = sense.get_humidity()...
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