How to use _get_list_avg method in autotest

Best Python code snippet using autotest_python

regression.py

Source:regression.py Github

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...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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