test\unit\test_aggregate_metric.py
 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
-- -- --- --- --- --- --- --- ------- ------- ------- | from pathlib import Path

-- -- --- --- --- --- --- --- ------- ------- ------- | 

-- -- --- --- --- --- --- --- ------- ------- ------- | import pytest

-- -- --- --- --- --- --- --- ------- ------- ------- | 

-- -- --- --- --- --- --- --- ------- ------- ------- | from wily.commands.rank import aggregate_metric

-- -- --- --- --- --- --- --- ------- ------- ------- | 

-- -- --- --- --- --- --- --- ------- ------- ------- | 

-- 01 001 002 001 002 003 003 0004.75 0002.38 0000.50 | def test_aggregate_metric():

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |     # given

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |     data = [

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |         (

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |             Path("wily/config.py"),

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |             "27a96be",

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |             "an author",

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |             "2019-01-15",

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |             "82.41669266978485",

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |         ),

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |         (

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |             Path("wily/cache.py"),

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |             "27a96be",

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |             "an author",

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |             "2019-01-15",

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |             "82.41669266978485",

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |         ),

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |     ]

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |     expected = ["Total", "---", "---", "---", 164.8333853395697]

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 | 

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |     # when

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |     actual = aggregate_metric(data)

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 | 

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |     # then

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |     assert actual == expected

-- -- --- --- --- --- --- --- ------- ------- ------- | 

-- -- --- --- --- --- --- --- ------- ------- ------- | 

-- 01 001 002 001 002 003 003 0004.75 0002.38 0000.50 | def test_aggregate_metric_empty():

-- -- 001 002 001 002 003 003 0004.75 0002.38 0000.50 |     # given

-- -- --- --- --- --- --- --- ------- ------- ------- |     data = []

-- -- --- --- --- --- --- --- ------- ------- ------- |     expected = ["Total", "---", "---", "---", 0]

-- -- --- --- --- --- --- --- ------- ------- ------- | 

-- -- --- --- --- --- --- --- ------- ------- ------- |     # when

-- -- --- --- --- --- --- --- ------- ------- ------- |     actual = aggregate_metric(data)

-- -- --- --- --- --- --- --- ------- ------- ------- | 

-- -- --- --- --- --- --- --- ------- ------- ------- |     # then

-- -- --- --- --- --- --- --- ------- ------- ------- |     assert actual == expected