Schwefel.evaluate() - Code Metrics - Inspection of "Functions description" - NiaOrg/NiaPy - Measure and Improve Code Quality continuously with Scrutinizer

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Pull Request — master (#23)

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created 2018-02-12 19:03 UTC

Schwefel.evaluate() A

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Changes	1
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Metric	Value
cc	2
c	1
b	0
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dl	0
loc	11
rs	9.4285

"""Implementation of Schwefel function.


Date: 2018

Author: Lucija Brezočnik

License: MIT

Function: Schwefel function

Input domain:
    The function can be defined on any input domain but it is usually
    evaluated on the hypercube x_i ∈ [-500, 500], for all i = 1, 2,..., D.

Global minimum:
    f(x*) = 0, at x* = (420.9687,...,420.9687)

LaTeX formats:
    Inline: $f(\textbf{x}) = 418.9829d - \sum_{i=1}^{D} x_i sin(\sqrt{|x_i|})$
    Equation: \begin{equation} f(\textbf{x}) =
              418.9829d - \sum_{i=1}^{D} x_i
              sin(\sqrt{|x_i|}) \end{equation}
    Domain: $-500 \leq x_i \leq 500$

Reference: https://www.sfu.ca/~ssurjano/schwef.html
"""

import math

__all__ = ['Schwefel']


class Schwefel(object):

    def __init__(self, Lower=-500, Upper=500):
        self.Lower = Lower
        self.Upper = Upper

    @classmethod
    def function(cls):
        def evaluate(D, sol):

            val = 0.0
            val1 = 0.0

            for i in range(D):
                val1 += (sol[i] * math.sin(math.sqrt(abs(sol[i]))))

            val = 418.9829 * D - val1

            return val

        return evaluate


1			"""Implementation of Schwefel function.
			0 ignored issues – show Bug introduced 2018-02-12 19:04 UTC by Report Bug Copy Issue Report A suspicious escape sequence `\s` was found. Did you maybe forget to add an `r` prefix? Escape sequences in Python are generally interpreted according to rules similar to standard C. Only if strings are prefixed with `r` or `R` are they interpreted as regular expressions. The escape sequence that was used indicates that you might have intended to write a regular expression. Learn more about the available escape sequences. in the Python documentation. Loading history... Bug introduced 2018-02-12 19:04 UTC by Report Bug Copy Issue Report A suspicious escape sequence `\e` was found. Did you maybe forget to add an `r` prefix? Escape sequences in Python are generally interpreted according to rules similar to standard C. Only if strings are prefixed with `r` or `R` are they interpreted as regular expressions. The escape sequence that was used indicates that you might have intended to write a regular expression. Learn more about the available escape sequences. in the Python documentation. Loading history... Bug introduced 2018-02-12 19:04 UTC by Report Bug Copy Issue Report A suspicious escape sequence `\l` was found. Did you maybe forget to add an `r` prefix? Escape sequences in Python are generally interpreted according to rules similar to standard C. Only if strings are prefixed with `r` or `R` are they interpreted as regular expressions. The escape sequence that was used indicates that you might have intended to write a regular expression. Learn more about the available escape sequences. in the Python documentation. Loading history...
2
3			Date: 2018
4
5			Author: Lucija Brezočnik
6
7			License: MIT
8
9			Function: Schwefel function
10
11			Input domain:
12			The function can be defined on any input domain but it is usually
13			evaluated on the hypercube x_i ∈ [-500, 500], for all i = 1, 2,..., D.
14
15			Global minimum:
16			f(x) = 0, at x = (420.9687,...,420.9687)
17
18			LaTeX formats:
19			Inline: $f(\textbf{x}) = 418.9829d - \sum_{i=1}^{D} x_i sin(\sqrt{\|x_i\|})$
20			Equation: \begin{equation} f(\textbf{x}) =
21			418.9829d - \sum_{i=1}^{D} x_i
22			sin(\sqrt{\|x_i\|}) \end{equation}
23			Domain: $-500 \leq x_i \leq 500$
24
25			Reference: https://www.sfu.ca/~ssurjano/schwef.html
26			"""
27
28			import math
29
30			__all__ = ['Schwefel']
31
32
33			class Schwefel(object):
34
35			def __init__(self, Lower=-500, Upper=500):
36			self.Lower = Lower
37			self.Upper = Upper
38
39			@classmethod
40			def function(cls):
41			def evaluate(D, sol):
42
43			val = 0.0
44			val1 = 0.0
45
46			for i in range(D):
47			val1 += (sol[i] * math.sin(math.sqrt(abs(sol[i]))))
48
49			val = 418.9829 * D - val1
50
51			return val
52
53			return evaluate
54

NiaOrg / NiaPy

Pull Request — master (#23)

Schwefel.evaluate() A

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