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How to use _get_list_avg method in autotest

Best Python code snippet using autotest_python

regression.py

Source:regression.py

...167            else:168                if len(s1[line][0]) < 2:169                    continue170                for col in range(len(s1[line])):171                    avg1 = self._get_list_avg(s1[line][col])172                    avg2 = self._get_list_avg(s2[line][col])173                    sample1 = np.array(s1[line][col])174                    sample2 = np.array(s2[line][col])175                    warnings.simplefilter("ignore", RuntimeWarning)176                    if (paired):177                        (t, p) = stats.ttest_rel(sample1, sample2)178                    else:179                        (t, p) = stats.ttest_ind(sample1, sample2)180                    flag = "+"181                    if float(avg1) > float(avg2):182                        flag = "-"183                    tmp.append(flag + "%.3f" % (1 - p))184                tmp = "|".join(tmp)185            ret.append(tmp)186        return ret187    def _get_rate(self, data):188        """ num2 / num1 * 100 """189        result = "0.0"190        if len(data) == 2 and float(data[0]) != 0:191            result = float(data[1]) / float(data[0]) * 100192            if result < 1:193                result = "%.2f%%" % result194            else:195                result = "%.0f%%" % result196        return result197    def _get_augment_rate(self, data):198        """ (num2 - num1) / num1 * 100 """199        result = "+0.0"200        if len(data) == 2 and float(data[0]) != 0:201            result = "%+.3f%%" % ((float(data[1]) - float(data[0])) /202                                  float(data[0]) * 100)203        return result204    def _get_list_sd(self, data):205        """206        sumX = x1 + x2 + ... + xn207        avgX = sumX / n208        sumSquareX = x1^2 + ... + xn^2209        SD = sqrt([sumSquareX - (n * (avgX ^ 2))] / (n - 1))210        """211        sum = sqsum = 0212        n = len(data)213        for i in data:214            sum += float(i)215            sqsum += float(i) ** 2216        avg = sum / n217        if avg == 0 or n == 1 or sqsum - (n * avg ** 2) <= 0:218            return "0.0"219        return "%.3f" % (((sqsum - (n * avg ** 2)) / (n - 1)) ** 0.5)220    def _get_list_avg(self, data):221        """ Compute the average of list entries """222        sum = 0223        for i in data:224            sum += float(i)225        if is_int(str(data[0])):226            return "%d" % (sum / len(data))227        return "%.2f" % (sum / len(data))228    def _get_list_self(self, data):229        """ Use this to convert sample dicts """230        return data231    def _process_lines(self, files_dict, row, func, avg_update, merge):232        """ Use unified function to process same lines of different samples """233        lines = []234        ret = []...

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