test_extra_fields() - Code Metrics - Inspection of "Percentile Support" - ionelmc/pytest-benchmark - Measure and Improve Code Quality continuously with Scrutinizer

Completed

Pull Request — master (#93)

unknown

created 2017-11-08 17:49 UTC

test_extra_fields() B

↳ Parent: Project

Complexity

Conditions

Size

Total Lines

Duplication

Lines	0
Ratio	0 %

Importance

Changes	1
Bugs	0	Features	0

Metric	Value
cc	3
dl	0
loc	31
rs	8.8571
c	1
b	0
f	0

from pytest import mark

from pytest_benchmark.stats import Stats


def test_1():

    stats = Stats()
    for i in 4., 36., 45., 50., 75.:
        stats.update(i)
    assert stats.mean == 42.
    assert stats.min == 4.
    assert stats.max == 75.
    assert stats.stddev == 25.700194551792794
    assert stats.rounds == 5
    assert stats.total == 210.
    assert stats.ops == 0.023809523809523808


def test_2():

    stats = Stats()
    stats.update(17.)
    stats.update(19.)
    stats.update(24.)
    assert stats.mean == 20.
    assert stats.min == 17.
    assert stats.max == 24.
    assert stats.stddev == 3.605551275463989
    assert stats.rounds == 3
    assert stats.total == 60.
    assert stats.ops == 0.05


def test_single_item():
    stats = Stats()
    stats.update(1)
    assert stats.mean == 1
    assert stats.median == 1
    assert stats.iqr_outliers == 0
    assert stats.stddev_outliers == 0
    assert stats.min == 1
    assert stats.max == 1
    assert stats.stddev == 0
    assert stats.iqr == 0
    assert stats.rounds == 1
    assert stats.total == 1
    assert stats.ld15iqr == 1
    assert stats.hd15iqr == 1
    assert stats.ops == 1


@mark.parametrize('length', range(1, 10))
def test_length(length):
    stats = Stats()
    for i in range(length):
        stats.update(1)

    assert stats.as_dict()


def test_iqr():
    stats = Stats()
    for i in 6, 7, 15, 36, 39, 40, 41, 42, 43, 47, 49:
        stats.update(i)
    assert stats.iqr == 22.5  # https://en.wikipedia.org/wiki/Quartile#Example_1

    stats = Stats()
    for i in 7, 15, 36, 39, 40, 41:
        stats.update(i)
    assert stats.iqr == 25.0  # https://en.wikipedia.org/wiki/Quartile#Example_2

    stats = Stats()
    for i in 1, 2, 3, 4, 5, 6, 7, 8, 9:
        stats.update(i)
    assert stats.iqr == 4.5  # http://www.phusewiki.org/docs/2012/PRESENTATIONS/SP/SP06%20.pdf - method 1

    stats = Stats()
    for i in 1, 2, 3, 4, 5, 6, 7, 8:
        stats.update(i)
    assert stats.iqr == 4.0  # http://www.lexjansen.com/nesug/nesug07/po/po08.pdf - method 1

    stats = Stats()
    for i in 1, 2, 1, 123, 4, 1234, 1, 234, 12, 34, 12, 3, 2, 34, 23:
        stats.update(i)
    assert stats.iqr == 32.0

    stats = Stats()
    for i in 1, 2, 3, 10, 10.1234, 11, 12, 13., 10.1115, 11.1115, 12.1115, 13.5, 10.75, 11.75, 13.12175, 13.1175, 20, \
             50, 52:
        stats.update(i)
    assert stats.stddev == 13.518730097622106
    assert stats.iqr == 3.006212500000002  # close enough: http://www.wessa.net/rwasp_variability.wasp

    stats = Stats()
    for i in [
        11.2, 11.8, 13.2, 12.9, 12.1, 13.5, 14.8, 14.8, 13.6, 11.9, 10.4, 11.8, 11.5, 12.6, 14.1, 13.5, 12.5, 14.9,
        17.0, 17.0, 15.8, 13.3, 11.4, 14.0, 14.5, 15.0, 17.8, 16.3, 17.2, 17.8, 19.9, 19.9, 18.4, 16.2, 14.6, 16.6,
        17.1, 18.0, 19.3, 18.1, 18.3, 21.8, 23.0, 24.2, 20.9, 19.1, 17.2, 19.4, 19.6, 19.6, 23.6, 23.5, 22.9, 24.3,
        26.4, 27.2, 23.7, 21.1, 18.0, 20.1, 20.4, 18.8, 23.5, 22.7, 23.4, 26.4, 30.2, 29.3, 25.9, 22.9, 20.3, 22.9,
        24.2, 23.3, 26.7, 26.9, 27.0, 31.5, 36.4, 34.7, 31.2, 27.4, 23.7, 27.8, 28.4, 27.7, 31.7, 31.3, 31.8, 37.4,
        41.3, 40.5, 35.5, 30.6, 27.1, 30.6, 31.5, 30.1, 35.6, 34.8, 35.5, 42.2, 46.5, 46.7, 40.4, 34.7, 30.5, 33.6,
        34.0, 31.8, 36.2, 34.8, 36.3, 43.5, 49.1, 50.5, 40.4, 35.9, 31.0, 33.7, 36.0, 34.2, 40.6, 39.6, 42.0, 47.2,
        54.8, 55.9, 46.3, 40.7, 36.2, 40.5, 41.7, 39.1, 41.9, 46.1, 47.2, 53.5, 62.2, 60.6, 50.8, 46.1, 39.0, 43.2,
    ]:
        stats.update(i)
    assert stats.iqr == 18.1  # close enough: http://www.wessa.net/rwasp_variability.wasp


def test_ops():
    stats = Stats()
    stats.update(0)
    assert stats.mean == 0
    assert stats.ops == 0


def test_percentile():
    stats = Stats()

    # Taken from http://onlinestatbook.com/2/introduction/percentiles.html
    for i in [4, 4, 5, 5, 5, 5, 6, 6, 6, 7, 7, 7, 8, 8, 9, 9, 9, 10, 10, 10]:
        stats.update(i)

    assert stats.percentile(0.0) == stats.min
    assert stats.percentile(1.0) == stats.max
    assert stats.percentile(0.5) == stats.median
    assert stats.percentile(0.25) == 5.0
    assert stats.percentile(0.85) == 9.849999999999998 # approx(9.85)

    assert hasattr(stats, '_percentile_cache')
    assert 0.85 in stats._percentile_cache
    assert stats._percentile_cache[0.85] == 9.849999999999998 # approx(9.85)


def test_percentile2():
    stats = Stats()

    # Taken from http://www.itl.nist.gov/div898/handbook/prc/section2/prc262.htm
    for i in [95.1772, 95.1567, 95.1937, 95.1959, 95.1442, 95.0610, 95.1591, 95.1195, 95.1065, 95.0925, 95.1990, 95.1682]:
        stats.update(i)

    assert stats.p0 == stats.min
    assert stats.p100 == stats.max
    assert stats.p50 == stats.median
    assert stats.p90 == 95.19807 # approx(95.1981)


def test_extra_fields():
    # Test that percentiles are included in .as_dict() results
    expected = {
        'p85': 9.849999999999998,
        'p25': 5.0,
        "min": 4,
        "max": 10,
        "mean": 7,
        "stddev": 2.0261449005179113,
        "rounds": 20,
        "median": 7.0,
        "iqr": 4.0,
        "q1": 5.0,
        "q3": 9.0,
        "iqr_outliers": 0,
        "stddev_outliers": 5,
        "outliers": '5;0',
        "ld15iqr": 4,
        "hd15iqr": 10,
        "ops": 0.14285714285714285,
        "total": 140,
    }

    stats = Stats()

    for i in [4, 4, 5, 5, 5, 5, 6, 6, 6, 7, 7, 7, 8, 8, 9, 9, 9, 10, 10, 10]:
        stats.update(i)

    result = stats.as_dict(extra_fields=('p25', 'p85'))

    assert result == expected


1		from pytest import mark
2
3		from pytest_benchmark.stats import Stats
4
5
6	View Code Duplication	def test_1():
		0 ignored issues – show Duplication introduced 2016-05-26 23:02 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
7		stats = Stats()
8		for i in 4., 36., 45., 50., 75.:
9		stats.update(i)
10		assert stats.mean == 42.
11		assert stats.min == 4.
12		assert stats.max == 75.
13		assert stats.stddev == 25.700194551792794
14		assert stats.rounds == 5
15		assert stats.total == 210.
16		assert stats.ops == 0.023809523809523808
17
18
19	View Code Duplication	def test_2():
		0 ignored issues – show Duplication introduced 2017-06-14 07:40 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
20		stats = Stats()
21		stats.update(17.)
22		stats.update(19.)
23		stats.update(24.)
24		assert stats.mean == 20.
25		assert stats.min == 17.
26		assert stats.max == 24.
27		assert stats.stddev == 3.605551275463989
28		assert stats.rounds == 3
29		assert stats.total == 60.
30		assert stats.ops == 0.05
31
32
33		def test_single_item():
34		stats = Stats()
35		stats.update(1)
36		assert stats.mean == 1
37		assert stats.median == 1
38		assert stats.iqr_outliers == 0
39		assert stats.stddev_outliers == 0
40		assert stats.min == 1
41		assert stats.max == 1
42		assert stats.stddev == 0
43		assert stats.iqr == 0
44		assert stats.rounds == 1
45		assert stats.total == 1
46		assert stats.ld15iqr == 1
47		assert stats.hd15iqr == 1
48		assert stats.ops == 1
49
50
51		@mark.parametrize('length', range(1, 10))
52		def test_length(length):
53		stats = Stats()
54		for i in range(length):
55		stats.update(1)
56
57		assert stats.as_dict()
58
59
60		def test_iqr():
61		stats = Stats()
62		for i in 6, 7, 15, 36, 39, 40, 41, 42, 43, 47, 49:
63		stats.update(i)
64		assert stats.iqr == 22.5 # https://en.wikipedia.org/wiki/Quartile#Example_1
65
66		stats = Stats()
67		for i in 7, 15, 36, 39, 40, 41:
68		stats.update(i)
69		assert stats.iqr == 25.0 # https://en.wikipedia.org/wiki/Quartile#Example_2
70
71		stats = Stats()
72		for i in 1, 2, 3, 4, 5, 6, 7, 8, 9:
73		stats.update(i)
74		assert stats.iqr == 4.5 # http://www.phusewiki.org/docs/2012/PRESENTATIONS/SP/SP06%20.pdf - method 1
75
76		stats = Stats()
77		for i in 1, 2, 3, 4, 5, 6, 7, 8:
78		stats.update(i)
79		assert stats.iqr == 4.0 # http://www.lexjansen.com/nesug/nesug07/po/po08.pdf - method 1
80
81		stats = Stats()
82		for i in 1, 2, 1, 123, 4, 1234, 1, 234, 12, 34, 12, 3, 2, 34, 23:
83		stats.update(i)
84		assert stats.iqr == 32.0
85
86		stats = Stats()
87		for i in 1, 2, 3, 10, 10.1234, 11, 12, 13., 10.1115, 11.1115, 12.1115, 13.5, 10.75, 11.75, 13.12175, 13.1175, 20, \
88		50, 52:
89		stats.update(i)
90		assert stats.stddev == 13.518730097622106
91		assert stats.iqr == 3.006212500000002 # close enough: http://www.wessa.net/rwasp_variability.wasp
92
93		stats = Stats()
94		for i in [
95		11.2, 11.8, 13.2, 12.9, 12.1, 13.5, 14.8, 14.8, 13.6, 11.9, 10.4, 11.8, 11.5, 12.6, 14.1, 13.5, 12.5, 14.9,
96		17.0, 17.0, 15.8, 13.3, 11.4, 14.0, 14.5, 15.0, 17.8, 16.3, 17.2, 17.8, 19.9, 19.9, 18.4, 16.2, 14.6, 16.6,
97		17.1, 18.0, 19.3, 18.1, 18.3, 21.8, 23.0, 24.2, 20.9, 19.1, 17.2, 19.4, 19.6, 19.6, 23.6, 23.5, 22.9, 24.3,
98		26.4, 27.2, 23.7, 21.1, 18.0, 20.1, 20.4, 18.8, 23.5, 22.7, 23.4, 26.4, 30.2, 29.3, 25.9, 22.9, 20.3, 22.9,
99		24.2, 23.3, 26.7, 26.9, 27.0, 31.5, 36.4, 34.7, 31.2, 27.4, 23.7, 27.8, 28.4, 27.7, 31.7, 31.3, 31.8, 37.4,
100		41.3, 40.5, 35.5, 30.6, 27.1, 30.6, 31.5, 30.1, 35.6, 34.8, 35.5, 42.2, 46.5, 46.7, 40.4, 34.7, 30.5, 33.6,
101		34.0, 31.8, 36.2, 34.8, 36.3, 43.5, 49.1, 50.5, 40.4, 35.9, 31.0, 33.7, 36.0, 34.2, 40.6, 39.6, 42.0, 47.2,
102		54.8, 55.9, 46.3, 40.7, 36.2, 40.5, 41.7, 39.1, 41.9, 46.1, 47.2, 53.5, 62.2, 60.6, 50.8, 46.1, 39.0, 43.2,
103		]:
104		stats.update(i)
105		assert stats.iqr == 18.1 # close enough: http://www.wessa.net/rwasp_variability.wasp
106
107
108		def test_ops():
109		stats = Stats()
110		stats.update(0)
111		assert stats.mean == 0
112		assert stats.ops == 0
113
114
115		def test_percentile():
116		stats = Stats()
117
118		# Taken from http://onlinestatbook.com/2/introduction/percentiles.html
119		for i in [4, 4, 5, 5, 5, 5, 6, 6, 6, 7, 7, 7, 8, 8, 9, 9, 9, 10, 10, 10]:
120		stats.update(i)
121
122		assert stats.percentile(0.0) == stats.min
123		assert stats.percentile(1.0) == stats.max
124		assert stats.percentile(0.5) == stats.median
125		assert stats.percentile(0.25) == 5.0
126		assert stats.percentile(0.85) == 9.849999999999998 # approx(9.85)
127
128		assert hasattr(stats, '_percentile_cache')
129		assert 0.85 in stats._percentile_cache
130		assert stats._percentile_cache[0.85] == 9.849999999999998 # approx(9.85)
131
132
133		def test_percentile2():
134		stats = Stats()
135
136		# Taken from http://www.itl.nist.gov/div898/handbook/prc/section2/prc262.htm
137		for i in [95.1772, 95.1567, 95.1937, 95.1959, 95.1442, 95.0610, 95.1591, 95.1195, 95.1065, 95.0925, 95.1990, 95.1682]:
138		stats.update(i)
139
140		assert stats.p0 == stats.min
141		assert stats.p100 == stats.max
142		assert stats.p50 == stats.median
143		assert stats.p90 == 95.19807 # approx(95.1981)
144
145
146		def test_extra_fields():
147		# Test that percentiles are included in .as_dict() results
148		expected = {
149		'p85': 9.849999999999998,
150		'p25': 5.0,
151		"min": 4,
152		"max": 10,
153		"mean": 7,
154		"stddev": 2.0261449005179113,
155		"rounds": 20,
156		"median": 7.0,
157		"iqr": 4.0,
158		"q1": 5.0,
159		"q3": 9.0,
160		"iqr_outliers": 0,
161		"stddev_outliers": 5,
162		"outliers": '5;0',
163		"ld15iqr": 4,
164		"hd15iqr": 10,
165		"ops": 0.14285714285714285,
166		"total": 140,
167		}
168
169		stats = Stats()
170
171		for i in [4, 4, 5, 5, 5, 5, 6, 6, 6, 7, 7, 7, 8, 8, 9, 9, 9, 10, 10, 10]:
172		stats.update(i)
173
174		result = stats.as_dict(extra_fields=('p25', 'p85'))
175
176		assert result == expected
177

ionelmc / pytest-benchmark

Pull Request — master (#93)

test_extra_fields() B

Complexity

Size

Duplication

Importance

Duplication Side-by-Side

Filter issues like