from string import replace
from errors import PresentationError
-from utils import mean, stdev, relative_change
+from utils import mean, stdev, relative_change, remove_outliers
def generate_tables(spec, data):
for tst_name in tbl_dict.keys():
item = [tbl_dict[tst_name]["name"], ]
if tbl_dict[tst_name]["ref-data"]:
- item.append(round(mean(tbl_dict[tst_name]["ref-data"]) / 1000000,
- 2))
- item.append(round(stdev(tbl_dict[tst_name]["ref-data"]) / 1000000,
- 2))
+ item.append(round(mean(remove_outliers(
+ tbl_dict[tst_name]["ref-data"], 1.5)) / 1000000, 2))
+ item.append(round(stdev(remove_outliers(
+ tbl_dict[tst_name]["ref-data"], 1.5)) / 1000000, 2))
else:
item.extend([None, None])
if tbl_dict[tst_name]["cmp-data"]:
- item.append(round(mean(tbl_dict[tst_name]["cmp-data"]) / 1000000,
- 2))
- item.append(round(stdev(tbl_dict[tst_name]["cmp-data"]) / 1000000,
- 2))
+ item.append(round(mean(remove_outliers(
+ tbl_dict[tst_name]["cmp-data"], 1.5)) / 1000000, 2))
+ item.append(round(stdev(remove_outliers(
+ tbl_dict[tst_name]["cmp-data"], 1.5)) / 1000000, 2))
else:
item.extend([None, None])
if item[1] is not None and item[3] is not None:
"""General purpose utilities.
"""
+import numpy as np
+
from os import walk
from os.path import join
from math import sqrt
return float(((nr2 - nr1) / nr1) * 100)
+def remove_outliers(input_data, outlier_const):
+ """
+
+ :param input_data: Data from which the outliers will be removed.
+ :param outlier_const: Outlier constant.
+ :type input_data: list
+ :type outlier_const: float
+ :returns: The input list without outliers.
+ :rtype: list
+ """
+
+ data = np.array(input_data)
+ upper_quartile = np.percentile(data, 75)
+ lower_quartile = np.percentile(data, 25)
+ iqr = (upper_quartile - lower_quartile) * outlier_const
+ quartile_set = (lower_quartile - iqr, upper_quartile + iqr)
+ result_lst = list()
+ for y in data.tolist():
+ if quartile_set[0] <= y <= quartile_set[1]:
+ result_lst.append(y)
+ return result_lst
+
+
def get_files(path, extension=None, full_path=True):
"""Generates the list of files to process.