tests.test_catch - Code Metrics - Inspection of "Merge branch 'master' of https://github.com/SimonB..." - SimonBlanke/Hyperactive - Measure and Improve Code Quality continuously with Scrutinizer

Passed

Push — master ( 99abb6...4fb8fc )

by Simon

created 2022-05-03 10:57 UTC

tests.test_catch A

↳ Parent: Project

Complexity

Total Complexity

Size/Duplication

Total Lines	137
Duplicated Lines	0 %

Importance

Changes

Metric	Value
eloc	97
dl	0
loc	137
rs	10
c	0
b	0
f	0
wmc	6

6 Functions

Rating	Name	Size	Complexity
A	test_catch_2()	14	1
A	test_catch_3()	14	1
A	test_catch_1()	14	1
A	test_catch_all_1()	30	1
A	test_catch_all_0()	26	1
A	test_catch_0()	14	1

import copy
import pytest
import math
import numpy as np
import pandas as pd

from hyperactive import Hyperactive


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


def test_catch_0():
    def objective_function(access):
        x = y


        return 0

    hyper = Hyperactive()
    hyper.add_search(
        objective_function,
        search_space,
        n_iter=100,
        catch={NameError: np.nan},
    )
    hyper.run()


def test_catch_1():
    def objective_function(access):
        a = 1 + "str"

        return 0

    hyper = Hyperactive()
    hyper.add_search(
        objective_function,
        search_space,
        n_iter=100,
        catch={TypeError: np.nan},
    )
    hyper.run()


def test_catch_2():
    def objective_function(access):
        math.sqrt(-10)

        return 0

    hyper = Hyperactive()
    hyper.add_search(
        objective_function,
        search_space,
        n_iter=100,
        catch={ValueError: np.nan},
    )
    hyper.run()


def test_catch_3():
    def objective_function(access):
        x = 1 / 0

        return 0

    hyper = Hyperactive()
    hyper.add_search(
        objective_function,
        search_space,
        n_iter=100,
        catch={ZeroDivisionError: np.nan},
    )
    hyper.run()


def test_catch_all_0():
    def objective_function(access):
        x = y

        a = 1 + "str"
        math.sqrt(-10)
        x = 1 / 0

        return 0

    hyper = Hyperactive()
    hyper.add_search(
        objective_function,
        search_space,
        n_iter=100,
        catch={
            NameError: np.nan,
            TypeError: np.nan,
            ValueError: np.nan,
            ZeroDivisionError: np.nan,
        },
    )
    hyper.run()

    nan_ = hyper.search_data(objective_function)["score"].values[0]

    assert math.isnan(nan_)


def test_catch_all_1():
    def objective_function(access):
        x = y

        a = 1 + "str"
        math.sqrt(-10)
        x = 1 / 0

        return 0, {"error": False}

    catch_return = (np.nan, {"error": True})

    hyper = Hyperactive()
    hyper.add_search(
        objective_function,
        search_space,
        n_iter=100,
        catch={
            NameError: catch_return,
            TypeError: catch_return,
            ValueError: catch_return,
            ZeroDivisionError: catch_return,
        },
    )
    hyper.run()

    nan_ = hyper.search_data(objective_function)["score"].values[0]
    error_ = hyper.search_data(objective_function)["error"].values[0]

    assert math.isnan(nan_)
    assert error_ == True


1			import copy
2			import pytest
3			import math
4			import numpy as np
5			import pandas as pd
6
7			from hyperactive import Hyperactive
8
9
10			search_space = {
11			"x1": list(np.arange(-100, 100, 1)),
12			}
13
14
15			def test_catch_0():
16			def objective_function(access):
17			x = y
			0 ignored issues – show Comprehensibility Best Practice introduced 2022-05-03 11:02 UTC by Report Bug Copy Issue Report The variable `y` does not seem to be defined. Loading history...
18
19			return 0
20
21			hyper = Hyperactive()
22			hyper.add_search(
23			objective_function,
24			search_space,
25			n_iter=100,
26			catch={NameError: np.nan},
27			)
28			hyper.run()
29
30
31			def test_catch_1():
32			def objective_function(access):
33			a = 1 + "str"
34
35			return 0
36
37			hyper = Hyperactive()
38			hyper.add_search(
39			objective_function,
40			search_space,
41			n_iter=100,
42			catch={TypeError: np.nan},
43			)
44			hyper.run()
45
46
47			def test_catch_2():
48			def objective_function(access):
49			math.sqrt(-10)
50
51			return 0
52
53			hyper = Hyperactive()
54			hyper.add_search(
55			objective_function,
56			search_space,
57			n_iter=100,
58			catch={ValueError: np.nan},
59			)
60			hyper.run()
61
62
63			def test_catch_3():
64			def objective_function(access):
65			x = 1 / 0
66
67			return 0
68
69			hyper = Hyperactive()
70			hyper.add_search(
71			objective_function,
72			search_space,
73			n_iter=100,
74			catch={ZeroDivisionError: np.nan},
75			)
76			hyper.run()
77
78
79			def test_catch_all_0():
80			def objective_function(access):
81			x = y
			0 ignored issues – show Comprehensibility Best Practice introduced 2022-05-03 11:02 UTC by Report Bug Copy Issue Report The variable `y` does not seem to be defined. Loading history...
82			a = 1 + "str"
83			math.sqrt(-10)
84			x = 1 / 0
85
86			return 0
87
88			hyper = Hyperactive()
89			hyper.add_search(
90			objective_function,
91			search_space,
92			n_iter=100,
93			catch={
94			NameError: np.nan,
95			TypeError: np.nan,
96			ValueError: np.nan,
97			ZeroDivisionError: np.nan,
98			},
99			)
100			hyper.run()
101
102			nan_ = hyper.search_data(objective_function)["score"].values[0]
103
104			assert math.isnan(nan_)
105
106
107			def test_catch_all_1():
108			def objective_function(access):
109			x = y
			0 ignored issues – show Comprehensibility Best Practice introduced 2022-05-03 11:02 UTC by Report Bug Copy Issue Report The variable `y` does not seem to be defined. Loading history...
110			a = 1 + "str"
111			math.sqrt(-10)
112			x = 1 / 0
113
114			return 0, {"error": False}
115
116			catch_return = (np.nan, {"error": True})
117
118			hyper = Hyperactive()
119			hyper.add_search(
120			objective_function,
121			search_space,
122			n_iter=100,
123			catch={
124			NameError: catch_return,
125			TypeError: catch_return,
126			ValueError: catch_return,
127			ZeroDivisionError: catch_return,
128			},
129			)
130			hyper.run()
131
132			nan_ = hyper.search_data(objective_function)["score"].values[0]
133			error_ = hyper.search_data(objective_function)["error"].values[0]
134
135			assert math.isnan(nan_)
136			assert error_ == True
137

SimonBlanke / Hyperactive

Push — master ( 99abb6...4fb8fc )

tests.test_catch A

Complexity

Size/Duplication

Importance

6 Functions

Duplication Side-by-Side

Filter issues like