Code Duplication - SimonBlanke/Gradient-Free-Optimizers - Measure and Improve Code Quality continuously with Scrutinizer

Code Duplication Length = 12-12 lines in 2 locations

gradient_free_optimizers/optimizers/exp_opt/parallel_random_annealing.py 1 location


            system.temp = 1.1 ** random.uniform(0, 25)
        self.optimizers = self.systems

    def _swap_pos(self):
        for _p1_ in self.systems:
            _systems_temp = copy.copy(self.systems)
            if len(_systems_temp) > 1:
                _systems_temp.remove(_p1_)

            rand = random.uniform(0, 1) * 100
            _p2_ = np.random.choice(_systems_temp)

            p_accept = self._accept_swap(_p1_, _p2_)
            if p_accept > rand:
                _p1_.temp, _p2_.temp = (_p2_.temp, _p1_.temp)

    def _accept_swap(self, _p1_, _p2_):
        s = (_p1_.score_current - _p2_.score_current) / (

gradient_free_optimizers/optimizers/pop_opt/parallel_tempering.py 1 location


            system.temp = 1.1 ** random.uniform(0, 25)
        self.optimizers = self.systems

    def _swap_pos(self):
        for _p1_ in self.systems:
            _systems_temp = copy.copy(self.systems)
            if len(_systems_temp) > 1:
                _systems_temp.remove(_p1_)

            rand = random.uniform(0, 1) * 100
            _p2_ = np.random.choice(_systems_temp)

            p_accept = self._accept_swap(_p1_, _p2_)
            if p_accept > rand:
                _p1_.temp, _p2_.temp = (_p2_.temp, _p1_.temp)

    def _accept_swap(self, _p1_, _p2_):
        denom = _p1_.score_current + _p2_.score_current

		@@ 42-53 (lines=12) @@
39		system.temp = 1.1 ** random.uniform(0, 25)
40		self.optimizers = self.systems
41
42		def _swap_pos(self):
43		for _p1_ in self.systems:
44		_systems_temp = copy.copy(self.systems)
45		if len(_systems_temp) > 1:
46		_systems_temp.remove(_p1_)
47
48		rand = random.uniform(0, 1) * 100
49		_p2_ = np.random.choice(_systems_temp)
50
51		p_accept = self._accept_swap(_p1_, _p2_)
52		if p_accept > rand:
53		_p1_.temp, _p2_.temp = (_p2_.temp, _p1_.temp)
54
55		def _accept_swap(self, _p1_, _p2_):
56		s = (_p1_.score_current - _p2_.score_current) / (

		@@ 35-46 (lines=12) @@
32		system.temp = 1.1 ** random.uniform(0, 25)
33		self.optimizers = self.systems
34
35		def _swap_pos(self):
36		for _p1_ in self.systems:
37		_systems_temp = copy.copy(self.systems)
38		if len(_systems_temp) > 1:
39		_systems_temp.remove(_p1_)
40
41		rand = random.uniform(0, 1) * 100
42		_p2_ = np.random.choice(_systems_temp)
43
44		p_accept = self._accept_swap(_p1_, _p2_)
45		if p_accept > rand:
46		_p1_.temp, _p2_.temp = (_p2_.temp, _p1_.temp)
47
48		def _accept_swap(self, _p1_, _p2_):
49		denom = _p1_.score_current + _p2_.score_current

SimonBlanke / Gradient-Free-Optimizers

Code Duplication Length = 12-12 lines in 2 locations

gradient_free_optimizers/optimizers/exp_opt/parallel_random_annealing.py 1 location

gradient_free_optimizers/optimizers/pop_opt/parallel_tempering.py 1 location