tests.test_optimizers.test_large_search_space - Code Metrics - Inspection of "Merge branch 'master' of https://github.com/SimonB..." - SimonBlanke/Gradient-Free-Optimizers - Measure and Improve Code Quality continuously with Scrutinizer

Passed

Push — master ( 9fd0ae...3f3c18 )

by Simon

created 2021-05-22 08:23 UTC

tests.test_optimizers.test_large_search_space A

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Complexity

Total Complexity

Size/Duplication

Total Lines	37
Duplicated Lines	56.76 %

Importance

Changes

Metric	Value
eloc	22
dl	21
loc	37
rs	10
c	0
b	0
f	0
wmc	3

3 Functions

Rating	Name	Duplication	Size	Complexity
A	test_large_search_space_0()	10	10	1
A	test_large_search_space_1()	11	11	1
A	objective_function()	0	2	1

How to fix Duplicated Code

import pytest
import numpy as np

from ._parametrize import optimizers


def objective_function(para):
    return 1


@pytest.mark.parametrize(*optimizers)

def test_large_search_space_0(Optimizer):

    search_space = {
        "x1": np.arange(0, 1000000),
        "x2": np.arange(0, 1000000),
        "x3": np.arange(0, 1000000),
    }
    opt = Optimizer(search_space, initialize={"random": 3})
    opt.search(objective_function, n_iter=5, verbosity=False)


@pytest.mark.parametrize(*optimizers)

def test_large_search_space_1(Optimizer):

    search_space = {
        "x1": np.arange(0, 1000, 0.001),
        "x2": np.arange(0, 1000, 0.001),
        "x3": np.arange(0, 1000, 0.001),
    }

    opt = Optimizer(search_space, initialize={"random": 3})
    opt.search(objective_function, n_iter=5, verbosity=False)


"""
@pytest.mark.parametrize(*optimizers)
def test_large_search_space_2(Optimizer):

    search_space = {
        "x1": np.arange(0, 3),
        "x2": np.arange(0, 3),
        "x3": np.arange(0, 3),
        "x4": np.arange(0, 3),
        "x5": np.arange(0, 3),
        "x6": np.arange(0, 3),
        "x7": np.arange(0, 3),
        "x8": np.arange(0, 3),
        "x9": np.arange(0, 3),
        "x10": np.arange(0, 3),
        "x11": np.arange(0, 3),
        "x12": np.arange(0, 3),
        "x13": np.arange(0, 3),
        "x14": np.arange(0, 3),
        "x15": np.arange(0, 3),
        "x16": np.arange(0, 3),
        "x17": np.arange(0, 3),
        "x18": np.arange(0, 3),
        "x19": np.arange(0, 3),
        "x20": np.arange(0, 3),
        "x21": np.arange(0, 3),
        "x22": np.arange(0, 3),
        "x23": np.arange(0, 3),
        "x24": np.arange(0, 3),
        "x25": np.arange(0, 3),
        "x26": np.arange(0, 3),
        "x27": np.arange(0, 3),
        "x28": np.arange(0, 3),
        "x29": np.arange(0, 3),
        "x30": np.arange(0, 3),
        "x31": np.arange(0, 3),
        "x32": np.arange(0, 3),
        "x33": np.arange(0, 3),
    }

    opt = Optimizer(search_space, initialize={"random": 3})
    opt.search(objective_function, n_iter=5, verbosity=False)
"""


1		import pytest
2		import numpy as np
3
4		from ._parametrize import optimizers
5
6
7		def objective_function(para):
8		return 1
9
10
11	View Code Duplication	@pytest.mark.parametrize(*optimizers)
		0 ignored issues – show Duplication introduced 2021-05-22 08:25 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
12		def test_large_search_space_0(Optimizer):
13
14		search_space = {
15		"x1": np.arange(0, 1000000),
16		"x2": np.arange(0, 1000000),
17		"x3": np.arange(0, 1000000),
18		}
19		opt = Optimizer(search_space, initialize={"random": 3})
20		opt.search(objective_function, n_iter=5, verbosity=False)
21
22
23	View Code Duplication	@pytest.mark.parametrize(*optimizers)
		0 ignored issues – show Duplication introduced 2021-05-22 08:25 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
24		def test_large_search_space_1(Optimizer):
25
26		search_space = {
27		"x1": np.arange(0, 1000, 0.001),
28		"x2": np.arange(0, 1000, 0.001),
29		"x3": np.arange(0, 1000, 0.001),
30		}
31
32		opt = Optimizer(search_space, initialize={"random": 3})
33		opt.search(objective_function, n_iter=5, verbosity=False)
34
35
36		"""
37		@pytest.mark.parametrize(*optimizers)
38		def test_large_search_space_2(Optimizer):
39
40		search_space = {
41		"x1": np.arange(0, 3),
42		"x2": np.arange(0, 3),
43		"x3": np.arange(0, 3),
44		"x4": np.arange(0, 3),
45		"x5": np.arange(0, 3),
46		"x6": np.arange(0, 3),
47		"x7": np.arange(0, 3),
48		"x8": np.arange(0, 3),
49		"x9": np.arange(0, 3),
50		"x10": np.arange(0, 3),
51		"x11": np.arange(0, 3),
52		"x12": np.arange(0, 3),
53		"x13": np.arange(0, 3),
54		"x14": np.arange(0, 3),
55		"x15": np.arange(0, 3),
56		"x16": np.arange(0, 3),
57		"x17": np.arange(0, 3),
58		"x18": np.arange(0, 3),
59		"x19": np.arange(0, 3),
60		"x20": np.arange(0, 3),
61		"x21": np.arange(0, 3),
62		"x22": np.arange(0, 3),
63		"x23": np.arange(0, 3),
64		"x24": np.arange(0, 3),
65		"x25": np.arange(0, 3),
66		"x26": np.arange(0, 3),
67		"x27": np.arange(0, 3),
68		"x28": np.arange(0, 3),
69		"x29": np.arange(0, 3),
70		"x30": np.arange(0, 3),
71		"x31": np.arange(0, 3),
72		"x32": np.arange(0, 3),
73		"x33": np.arange(0, 3),
74		}
75
76		opt = Optimizer(search_space, initialize={"random": 3})
77		opt.search(objective_function, n_iter=5, verbosity=False)
78		"""
79

SimonBlanke / Gradient-Free-Optimizers

Push — master ( 9fd0ae...3f3c18 )

tests.test_optimizers.test_large_search_space A

Complexity

Size/Duplication

Importance

3 Functions

How to fix Duplicated Code

Duplicated Code

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