NiaPy.algorithms.modified.sade - Code Metrics - Inspection of "Development" - NiaOrg/NiaPy - Measure and Improve Code Quality continuously with Scrutinizer

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Pull Request — master (#233)

by Grega

created 2019-11-11 21:42 UTC

NiaPy.algorithms.modified.sade A

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Complexity

Total Complexity

Size/Duplication

Total Lines	125
Duplicated Lines	84.8 %

Importance

Changes

Metric	Value
wmc	8
eloc	34
dl	106
loc	125
rs	10
c	0
b	0
f	0

8 Methods

Rating	Name	Duplication	Size	Complexity
A	StrategyAdaptationDifferentialEvolution.algorithmInfo()	11	11	1
A	StrategyAdaptationDifferentialEvolutionV1.algorithmInfo()	11	11	1
A	StrategyAdaptationDifferentialEvolution.setParameters()	2	2	1
A	StrategyAdaptationDifferentialEvolutionV1.runIteration()	3	3	1
A	StrategyAdaptationDifferentialEvolutionV1.getParameters()	4	4	1
A	StrategyAdaptationDifferentialEvolution.runIteration()	3	3	1
A	StrategyAdaptationDifferentialEvolution.getParameters()	4	4	1
A	StrategyAdaptationDifferentialEvolutionV1.setParameters()	2	2	1

How to fix Duplicated Code

# encoding=utf8
import logging

# from numpy import random as rand, argmin, argmax, mean, asarray, cos

# from NiaPy.algorithms.algorithm import Individual
from NiaPy.algorithms.basic.de import DifferentialEvolution  # , CrossBest1, CrossRand1, CrossCurr2Best1, CrossBest2, CrossCurr2Rand1, proportional

logging.basicConfig()
logger = logging.getLogger('NiaPy.algorithms.modified')
logger.setLevel('INFO')

__all__ = [
	'StrategyAdaptationDifferentialEvolution',
	'StrategyAdaptationDifferentialEvolutionV1'
]

class StrategyAdaptationDifferentialEvolution(DifferentialEvolution):

	r"""Implementation of Differential Evolution Algorithm With Strategy Adaptation algorihtm.

	Algorithm:
		Differential Evolution Algorithm With StrategyAdaptation

	Date:
		2019

	Author:
		Klemen Berkovič

	License:
		MIT

	Reference URL:
		https://ieeexplore.ieee.org/document/1554904

	Reference paper:
		Qin, A. Kai, and Ponnuthurai N. Suganthan. "Self-adaptive differential evolution algorithm for numerical optimization." 2005 IEEE congress on evolutionary computation. Vol. 2. IEEE, 2005.

	Attributes:
		Name (List[str]): List of strings representing algorithm name.

	See Also:
		:class:`NiaPy.algorithms.basic.DifferentialEvolution`
	"""
	Name = ['StrategyAdaptationDifferentialEvolution', 'SADE', 'SaDE']

	@staticmethod
	def algorithmInfo():
		r"""Geg basic algorithm information.

		Returns:
			str: Basic algorithm information.

		See Also:
			:func:`NiaPy.algorithms.algorithm.Algorithm.algorithmInfo`
		"""
		return r"""Qin, A. Kai, and Ponnuthurai N. Suganthan. "Self-adaptive differential evolution algorithm for numerical optimization." 2005 IEEE congress on evolutionary computation. Vol. 2. IEEE, 2005."""

	def setParameters(self, **kwargs):
		DifferentialEvolution.setParameters(self, **kwargs)
		# TODO add parameters of the algorithm

	def getParameters(self):
		d = DifferentialEvolution.getParameters(self)
		# TODO add paramters values
		return d

	def runIteration(self, task, pop, fpop, xb, fxb, **dparams):
		# TODO implemnt algorithm
		return pop, fpop, xb, fxb, dparams

class StrategyAdaptationDifferentialEvolutionV1(DifferentialEvolution):

	r"""Implementation of Differential Evolution Algorithm With Strategy Adaptation algorihtm.

	Algorithm:
		Differential Evolution Algorithm With StrategyAdaptation

	Date:
		2019

	Author:
		Klemen Berkovič

	License:
		MIT

	Reference URL:
		https://ieeexplore.ieee.org/document/4632146

	Reference paper:
		Qin, A. Kai, Vicky Ling Huang, and Ponnuthurai N. Suganthan. "Differential evolution algorithm with strategy adaptation for global numerical optimization." IEEE transactions on Evolutionary Computation 13.2 (2009): 398-417.

	Attributes:
		Name (List[str]): List of strings representing algorithm name.

	See Also:
		:class:`NiaPy.algorithms.basic.DifferentialEvolution`
	"""
	Name = ['StrategyAdaptationDifferentialEvolutionV1', 'SADEV1', 'SaDEV1']

	@staticmethod
	def algorithmInfo():
		r"""Get algorithm information.

		Returns:
			str: Get algorithm information.

		See Also:
			:func:`NiaPy.algorithms.algorithm.Algorithm.algorithmInfo`
		"""
		return r"""Qin, A. Kai, Vicky Ling Huang, and Ponnuthurai N. Suganthan. "Differential evolution algorithm with strategy adaptation for global numerical optimization." IEEE transactions on Evolutionary Computation 13.2 (2009): 398-417."""

	def setParameters(self, **kwargs):
		DifferentialEvolution.setParameters(self, **kwargs)
		# TODO add parameters of the algorithm

	def getParameters(self):
		d = DifferentialEvolution.getParameters(self)
		# TODO add paramters values
		return d

	def runIteration(self, task, pop, fpop, xb, fxb, **dparams):
		# TODO implement algorithm
		return pop, fpop, xb, fxb, dparams

# vim: tabstop=3 noexpandtab shiftwidth=3 softtabstop=3


1		# encoding=utf8
2		import logging
3
4		# from numpy import random as rand, argmin, argmax, mean, asarray, cos
5
6		# from NiaPy.algorithms.algorithm import Individual
7		from NiaPy.algorithms.basic.de import DifferentialEvolution # , CrossBest1, CrossRand1, CrossCurr2Best1, CrossBest2, CrossCurr2Rand1, proportional
8
9		logging.basicConfig()
10		logger = logging.getLogger('NiaPy.algorithms.modified')
11		logger.setLevel('INFO')
12
13		__all__ = [
14		'StrategyAdaptationDifferentialEvolution',
15		'StrategyAdaptationDifferentialEvolutionV1'
16		]
17
18	View Code Duplication	class StrategyAdaptationDifferentialEvolution(DifferentialEvolution):
		0 ignored issues – show Duplication introduced 2019-11-10 16:54 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
19		r"""Implementation of Differential Evolution Algorithm With Strategy Adaptation algorihtm.
20
21		Algorithm:
22		Differential Evolution Algorithm With StrategyAdaptation
23
24		Date:
25		2019
26
27		Author:
28		Klemen Berkovič
29
30		License:
31		MIT
32
33		Reference URL:
34		https://ieeexplore.ieee.org/document/1554904
35
36		Reference paper:
37		Qin, A. Kai, and Ponnuthurai N. Suganthan. "Self-adaptive differential evolution algorithm for numerical optimization." 2005 IEEE congress on evolutionary computation. Vol. 2. IEEE, 2005.
38
39		Attributes:
40		Name (List[str]): List of strings representing algorithm name.
41
42		See Also:
43		:class:`NiaPy.algorithms.basic.DifferentialEvolution`
44		"""
45		Name = ['StrategyAdaptationDifferentialEvolution', 'SADE', 'SaDE']
46
47		@staticmethod
48		def algorithmInfo():
49		r"""Geg basic algorithm information.
50
51		Returns:
52		str: Basic algorithm information.
53
54		See Also:
55		:func:`NiaPy.algorithms.algorithm.Algorithm.algorithmInfo`
56		"""
57		return r"""Qin, A. Kai, and Ponnuthurai N. Suganthan. "Self-adaptive differential evolution algorithm for numerical optimization." 2005 IEEE congress on evolutionary computation. Vol. 2. IEEE, 2005."""
58
59		def setParameters(self, **kwargs):
60		DifferentialEvolution.setParameters(self, **kwargs)
61		# TODO add parameters of the algorithm
62
63		def getParameters(self):
64		d = DifferentialEvolution.getParameters(self)
65		# TODO add paramters values
66		return d
67
68		def runIteration(self, task, pop, fpop, xb, fxb, **dparams):
69		# TODO implemnt algorithm
70		return pop, fpop, xb, fxb, dparams
71
72	View Code Duplication	class StrategyAdaptationDifferentialEvolutionV1(DifferentialEvolution):
		0 ignored issues – show Duplication introduced 2019-11-10 16:54 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
73		r"""Implementation of Differential Evolution Algorithm With Strategy Adaptation algorihtm.
74
75		Algorithm:
76		Differential Evolution Algorithm With StrategyAdaptation
77
78		Date:
79		2019
80
81		Author:
82		Klemen Berkovič
83
84		License:
85		MIT
86
87		Reference URL:
88		https://ieeexplore.ieee.org/document/4632146
89
90		Reference paper:
91		Qin, A. Kai, Vicky Ling Huang, and Ponnuthurai N. Suganthan. "Differential evolution algorithm with strategy adaptation for global numerical optimization." IEEE transactions on Evolutionary Computation 13.2 (2009): 398-417.
92
93		Attributes:
94		Name (List[str]): List of strings representing algorithm name.
95
96		See Also:
97		:class:`NiaPy.algorithms.basic.DifferentialEvolution`
98		"""
99		Name = ['StrategyAdaptationDifferentialEvolutionV1', 'SADEV1', 'SaDEV1']
100
101		@staticmethod
102		def algorithmInfo():
103		r"""Get algorithm information.
104
105		Returns:
106		str: Get algorithm information.
107
108		See Also:
109		:func:`NiaPy.algorithms.algorithm.Algorithm.algorithmInfo`
110		"""
111		return r"""Qin, A. Kai, Vicky Ling Huang, and Ponnuthurai N. Suganthan. "Differential evolution algorithm with strategy adaptation for global numerical optimization." IEEE transactions on Evolutionary Computation 13.2 (2009): 398-417."""
112
113		def setParameters(self, **kwargs):
114		DifferentialEvolution.setParameters(self, **kwargs)
115		# TODO add parameters of the algorithm
116
117		def getParameters(self):
118		d = DifferentialEvolution.getParameters(self)
119		# TODO add paramters values
120		return d
121
122		def runIteration(self, task, pop, fpop, xb, fxb, **dparams):
123		# TODO implement algorithm
124		return pop, fpop, xb, fxb, dparams
125
126		# vim: tabstop=3 noexpandtab shiftwidth=3 softtabstop=3
127

NiaOrg / NiaPy

Pull Request — master (#233)

NiaPy.algorithms.modified.sade A

Complexity

Size/Duplication

Importance

8 Methods

How to fix Duplicated Code

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