Code Duplication - SimonBlanke/Hyperactive - Measure and Improve Code Quality continuously with Scrutinizer

Hyperactive

Code Duplication Length = 10-11 lines in 2 locations

examples/optimization_applications/meta_optimization.py 1 location

		@@ 14-24 (lines=11) @@
11
12		for i in range(33):
13
14		def ackley_function(para):
15		x = para["x"]
16		y = para["y"]
17		loss1 = -20 * np.exp(-0.2 * np.sqrt(0.5 * (x * x + y * y)))
18		loss2 = -np.exp(0.5 * (np.cos(2 * np.pi * x) + np.cos(2 * np.pi * y)))
19		loss3 = np.exp(1)
20		loss4 = 20
21
22		loss = loss1 + loss2 + loss3 + loss4
23
24		return -loss
25
26		dim_size = np.arange(-6, 6, 0.01)
27

src/hyperactive/experiment/toy/_ackley.py 1 location


    def _paramnames(self):
        return ["x0", "x1"]

    def _score(self, params):
        x = params["x0"]
        y = params["x1"]

        loss1 = -self.A * np.exp(-0.2 * np.sqrt(0.5 * (x * x + y * y)))
        loss2 = -np.exp(0.5 * (np.cos(2 * np.pi * x) + np.cos(2 * np.pi * y)))
        loss3 = np.exp(1)
        loss4 = self.A

        return -(loss1 + loss2 + loss3 + loss4), {}

    @classmethod
    def get_test_params(cls, parameter_set="default"):

		@@ 44-53 (lines=10) @@
41		def _paramnames(self):
42		return ["x0", "x1"]
43
44		def _score(self, params):
45		x = params["x0"]
46		y = params["x1"]
47
48		loss1 = -self.A * np.exp(-0.2 * np.sqrt(0.5 * (x * x + y * y)))
49		loss2 = -np.exp(0.5 * (np.cos(2 * np.pi * x) + np.cos(2 * np.pi * y)))
50		loss3 = np.exp(1)
51		loss4 = self.A
52
53		return -(loss1 + loss2 + loss3 + loss4), {}
54
55		@classmethod
56		def get_test_params(cls, parameter_set="default"):

SimonBlanke / Hyperactive

Code Duplication Length = 10-11 lines in 2 locations

examples/optimization_applications/meta_optimization.py 1 location

src/hyperactive/experiment/toy/_ackley.py 1 location