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

Code Duplication Length = 13-13 lines in 3 locations

gradient_free_optimizers/search.py 1 location


from .stop_run import StopRun


def set_random_seed(nth_process, random_state):
    """
    Sets the random seed separately for each thread
    (to avoid getting the same results in each thread)
    """
    if nth_process is None:
        nth_process = 0

    if random_state is None:
        random_state = np.random.randint(0, high=2 ** 31 - 2, dtype=np.int64)

    random.seed(random_state + nth_process)
    np.random.seed(random_state + nth_process)


class Search(TimesTracker):

gradient_free_optimizers/optimizers/pop_opt/base_population_optimizer.py 1 location


from ...init_positions import Initializer


def set_random_seed(nth_process, random_state):
    """
    Sets the random seed separately for each thread
    (to avoid getting the same results in each thread)
    """
    if nth_process is None:
        nth_process = 0

    if random_state is None:
        random_state = np.random.randint(0, high=2 ** 31 - 2, dtype=np.int64)

    random.seed(random_state + nth_process)
    np.random.seed(random_state + nth_process)


class BasePopulationOptimizer:

gradient_free_optimizers/optimizers/base_optimizer.py 1 location


from ..init_positions import Initializer


def set_random_seed(nth_process, random_state):
    """
    Sets the random seed separately for each thread
    (to avoid getting the same results in each thread)
    """
    if nth_process is None:
        nth_process = 0

    if random_state is None:
        random_state = np.random.randint(0, high=2 ** 31 - 2, dtype=np.int64)

    random.seed(random_state + nth_process)
    np.random.seed(random_state + nth_process)


def get_n_inits(initialize):

		@@ 20-32 (lines=13) @@
17		from .stop_run import StopRun
18
19
20		def set_random_seed(nth_process, random_state):
21		"""
22		Sets the random seed separately for each thread
23		(to avoid getting the same results in each thread)
24		"""
25		if nth_process is None:
26		nth_process = 0
27
28		if random_state is None:
29		random_state = np.random.randint(0, high=2 ** 31 - 2, dtype=np.int64)
30
31		random.seed(random_state + nth_process)
32		np.random.seed(random_state + nth_process)
33
34
35		class Search(TimesTracker):

		@@ 16-28 (lines=13) @@
13		from ...init_positions import Initializer
14
15
16		def set_random_seed(nth_process, random_state):
17		"""
18		Sets the random seed separately for each thread
19		(to avoid getting the same results in each thread)
20		"""
21		if nth_process is None:
22		nth_process = 0
23
24		if random_state is None:
25		random_state = np.random.randint(0, high=2 ** 31 - 2, dtype=np.int64)
26
27		random.seed(random_state + nth_process)
28		np.random.seed(random_state + nth_process)
29
30
31		class BasePopulationOptimizer:

		@@ 14-26 (lines=13) @@
11		from ..init_positions import Initializer
12
13
14		def set_random_seed(nth_process, random_state):
15		"""
16		Sets the random seed separately for each thread
17		(to avoid getting the same results in each thread)
18		"""
19		if nth_process is None:
20		nth_process = 0
21
22		if random_state is None:
23		random_state = np.random.randint(0, high=2 ** 31 - 2, dtype=np.int64)
24
25		random.seed(random_state + nth_process)
26		np.random.seed(random_state + nth_process)
27
28
29		def get_n_inits(initialize):

SimonBlanke / Gradient-Free-Optimizers

Code Duplication Length = 13-13 lines in 3 locations

gradient_free_optimizers/search.py 1 location

gradient_free_optimizers/optimizers/pop_opt/base_population_optimizer.py 1 location

gradient_free_optimizers/optimizers/base_optimizer.py 1 location