i_start = i
n = 1
store_range()
return result
class _(boost.python.injector, mersenne_twister):
def random_selection(self, population_size, sample_size):
assert population_size >= 0
assert sample_size >= 0
assert sample_size <= population_size
perm = self.random_permutation(size=population_size)
perm.resize(sample_size)
return sorted(perm)
random_generator = ext.mersenne_twister(scitbx.random.mt19937)
def set_random_seed(value):
random_generator.seed(value=value)
random_size_t = random_generator.random_size_t
random_double = random_generator.random_double
random_bool = random_generator.random_bool
random_permutation = random_generator.random_permutation
random_selection = random_generator.random_selection
random_double_point_on_sphere = random_generator.random_double_point_on_sphere
random_double_unit_quaternion = random_generator.random_double_unit_quaternion
random_double_r3_rotation_matrix \
= random_generator.random_double_r3_rotation_matrix
random_double_r3_rotation_matrix_arvo_1992 \
= random_generator.random_double_r3_rotation_matrix_arvo_1992
store_range()
return result
@boost.python.inject_into(mersenne_twister)
class _():
def random_selection(self, population_size, sample_size):
assert population_size >= 0
assert sample_size >= 0
assert sample_size <= population_size
perm = self.random_permutation(size=population_size)
perm.resize(sample_size)
return sorted(perm)
random_generator = ext.mersenne_twister(scitbx.random.mt19937)
def set_random_seed(value):
random_generator.seed(value=value)
scitbx.random.set_random_seed(value)
random_size_t = random_generator.random_size_t
random_double = random_generator.random_double
random_bool = random_generator.random_bool
random_permutation = random_generator.random_permutation
random_selection = random_generator.random_selection
random_double_point_on_sphere = random_generator.random_double_point_on_sphere
random_double_unit_quaternion = random_generator.random_double_unit_quaternion
random_double_r3_rotation_matrix \
