tests.test_optimizers.test_multiple_searches.objective_function() - Code Metrics - Inspection of "add tests for multiple searches" - SimonBlanke/Gradient-Free-Optimizers - Measure and Improve Code Quality continuously with Scrutinizer

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by Simon

created 2021-01-06 10:53 UTC

objective_function() A

↳ Parent: tests.test_optimizers.test_multiple_searches

Complexity

Conditions

Size

Total Lines	3
Code Lines	3

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
cc	1
eloc	3
nop	1
dl	0
loc	3
rs	10
c	0
b	0
f	0

import pytest
import numpy as np

from ._parametrize import optimizers


def objective_function(para):
    score = -para["x1"] * para["x1"]
    return score


search_space = {"x1": np.arange(-100, 1, 1)}


@pytest.mark.parametrize(*optimizers)

def test_searches_0(Optimizer):

    initialize = {"warm_start": [{"x1": -100}]}

    opt = Optimizer(search_space, initialize=initialize)
    opt.search(objective_function, n_iter=1)
    opt.search(objective_function, n_iter=1)

    assert -100 in opt.results["x1"].values
    assert len(opt.results["x1"]) == 2


@pytest.mark.parametrize(*optimizers)

def test_searches_1(Optimizer):
    initialize = {"warm_start": [{"x1": -100}]}

    opt = Optimizer(search_space, initialize=initialize)
    opt.search(objective_function, n_iter=1)
    opt.search(objective_function, n_iter=10)

    assert -100 in opt.results["x1"].values
    assert len(opt.results["x1"]) == 11


@pytest.mark.parametrize(*optimizers)

def test_searches_2(Optimizer):
    initialize = {"warm_start": [{"x1": -100}]}

    opt = Optimizer(search_space, initialize=initialize)
    opt.search(objective_function, n_iter=1)
    opt.search(objective_function, n_iter=20)

    assert -100 in opt.results["x1"].values
    assert len(opt.results["x1"]) == 21


@pytest.mark.parametrize(*optimizers)

def test_searches_3(Optimizer):
    initialize = {"warm_start": [{"x1": -100}]}

    opt = Optimizer(search_space, initialize=initialize)
    opt.search(objective_function, n_iter=10)
    opt.search(objective_function, n_iter=20)

    assert -100 in opt.results["x1"].values
    assert len(opt.results["x1"]) == 30


@pytest.mark.parametrize(*optimizers)

def test_searches_4(Optimizer):
    initialize = {"warm_start": [{"x1": -100}]}

    opt = Optimizer(search_space, initialize=initialize)
    opt.search(objective_function, n_iter=10)
    opt.search(objective_function, n_iter=10)
    opt.search(objective_function, n_iter=10)

    assert -100 in opt.results["x1"].values
    assert len(opt.results["x1"]) == 30


1		import pytest
2		import numpy as np
3
4		from ._parametrize import optimizers
5
6
7		def objective_function(para):
8		score = -para["x1"] * para["x1"]
9		return score
10
11
12		search_space = {"x1": np.arange(-100, 1, 1)}
13
14
15	View Code Duplication	@pytest.mark.parametrize(*optimizers)
		0 ignored issues – show Duplication introduced 2021-01-06 10:56 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
16		def test_searches_0(Optimizer):
17
18		initialize = {"warm_start": [{"x1": -100}]}
19
20		opt = Optimizer(search_space, initialize=initialize)
21		opt.search(objective_function, n_iter=1)
22		opt.search(objective_function, n_iter=1)
23
24		assert -100 in opt.results["x1"].values
25		assert len(opt.results["x1"]) == 2
26
27
28	View Code Duplication	@pytest.mark.parametrize(*optimizers)
		0 ignored issues – show Duplication introduced 2021-01-06 10:56 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
29		def test_searches_1(Optimizer):
30		initialize = {"warm_start": [{"x1": -100}]}
31
32		opt = Optimizer(search_space, initialize=initialize)
33		opt.search(objective_function, n_iter=1)
34		opt.search(objective_function, n_iter=10)
35
36		assert -100 in opt.results["x1"].values
37		assert len(opt.results["x1"]) == 11
38
39
40	View Code Duplication	@pytest.mark.parametrize(*optimizers)
		0 ignored issues – show Duplication introduced 2021-01-06 10:56 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
41		def test_searches_2(Optimizer):
42		initialize = {"warm_start": [{"x1": -100}]}
43
44		opt = Optimizer(search_space, initialize=initialize)
45		opt.search(objective_function, n_iter=1)
46		opt.search(objective_function, n_iter=20)
47
48		assert -100 in opt.results["x1"].values
49		assert len(opt.results["x1"]) == 21
50
51
52	View Code Duplication	@pytest.mark.parametrize(*optimizers)
		0 ignored issues – show Duplication introduced 2020-10-09 11:15 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
53		def test_searches_3(Optimizer):
54		initialize = {"warm_start": [{"x1": -100}]}
55
56		opt = Optimizer(search_space, initialize=initialize)
57		opt.search(objective_function, n_iter=10)
58		opt.search(objective_function, n_iter=20)
59
60		assert -100 in opt.results["x1"].values
61		assert len(opt.results["x1"]) == 30
62
63
64	View Code Duplication	@pytest.mark.parametrize(*optimizers)
		0 ignored issues – show Duplication introduced 2021-01-06 10:56 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
65		def test_searches_4(Optimizer):
66		initialize = {"warm_start": [{"x1": -100}]}
67
68		opt = Optimizer(search_space, initialize=initialize)
69		opt.search(objective_function, n_iter=10)
70		opt.search(objective_function, n_iter=10)
71		opt.search(objective_function, n_iter=10)
72
73		assert -100 in opt.results["x1"].values
74		assert len(opt.results["x1"]) == 30
75

SimonBlanke / Gradient-Free-Optimizers

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objective_function() A

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