ant_mean_clustering_params.__init__() - Code Metrics - Inspection of "fix merged files" - annoviko/pyclustering - Measure and Improve Code Quality continuously with Scrutinizer

Completed

Push — master ( f5b818...34e888 )

unknown

created 2016-07-01 17:40 UTC

ant_mean_clustering_params.init() A

↳ Parent: ant_mean_clustering_params

Complexity

Conditions

Size

Total Lines

Duplication

Lines	0
Ratio	0 %

Importance

Changes	1
Bugs	0	Features	1

Metric	Value
cc	1
c	1
b	0
f	1
dl	0
loc	13
rs	9.4285

'''
Created on Jul 1, 2016

@author: alex
'''

import pyclustering.core.ant_mean_clustering_wrapper as wrapper


class ant_mean_clustering_params:
    
    def __init__(self):
        
        ## used for pheramone evaporation
        self.ro                 = 0.9
        
        ## initial value for pheramones
        self.pheramone_init     = 0.1
        
        ## amount of iterations that is used for solving
        self.iterations         = 50
        
        ## amount of ants that is used on each iteration
        self.count_ants         = 20
        
        
class ant_mean:
    
    def __init__(self, parameters):
        
        self.__parameters = None
        
        if (parameters is None):
            self.__parameters = ant_mean_clustering_params();
        else:
            self.__parameters = parameters;
            
    
    def process(self, count_clusters, samples):
        
        return wrapper.ant_mean_clustering_process(self.__parameters, count_clusters, samples)
        
        

1			'''
2			Created on Jul 1, 2016
3
4			@author: alex
5			'''
6
7			import pyclustering.core.ant_mean_clustering_wrapper as wrapper
8
9
10			class ant_mean_clustering_params:
11
12			def __init__(self):
13
14			## used for pheramone evaporation
15			self.ro = 0.9
16
17			## initial value for pheramones
18			self.pheramone_init = 0.1
19
20			## amount of iterations that is used for solving
21			self.iterations = 50
22
23			## amount of ants that is used on each iteration
24			self.count_ants = 20
25
26
27			class ant_mean:
28
29			def __init__(self, parameters):
30
31			self.__parameters = None
32
33			if (parameters is None):
34			self.__parameters = ant_mean_clustering_params();
35			else:
36			self.__parameters = parameters;
37
38
39			def process(self, count_clusters, samples):
40
41			return wrapper.ant_mean_clustering_process(self.__parameters, count_clusters, samples)
42
43

annoviko / pyclustering

Push — master ( f5b818...34e888 )

ant_mean_clustering_params.__init__() A

Complexity

Size

Duplication

Importance

Duplication Side-by-Side

Filter issues like

ant_mean_clustering_params.init() A