Python seed 예제들

예제 #1

파일: direct_search_simulated_annealing.py 프로젝트: cctbx/cctbx-playground

def run():
  random.seed(0)
  flex.set_random_seed(0)
  test_rosenbrock_function(3)
  random.seed(0)
  flex.set_random_seed(0)
  test_rosenbrock_function(4)

예제 #2

파일: direct_search_simulated_annealing.py 프로젝트: ssongna/sastbx_module_scitbx

def run():
    random.seed(0)
    flex.set_random_seed(0)
    test_rosenbrock_function(3)
    random.seed(0)
    flex.set_random_seed(0)
    test_rosenbrock_function(4)

예제 #3

파일: tst_absolute_structure.py 프로젝트: cctbx/cctbx-playground

def run_call_back(flags, space_group_info):
  if not space_group_info.group().is_centric():
    if flags.fix_random_seeds:
      random.seed(1)
      flex.set_random_seed(1)
      scitbx.random.set_random_seed(1)
    hooft_analysis_test_case(
      space_group_info,use_students_t_errors=False).exercise(debug=flags.Debug)
    if students_t_available:
      hooft_analysis_test_case(
        space_group_info,use_students_t_errors=True).exercise(debug=flags.Debug)

예제 #4

파일: tst_absolute_structure.py 프로젝트: hainm/cctbx_project

def run_call_back(flags, space_group_info):
    if not space_group_info.group().is_centric():
        if flags.fix_random_seeds:
            random.seed(1)
            flex.set_random_seed(1)
            scitbx.random.set_random_seed(1)
        hooft_analysis_test_case(
            space_group_info,
            use_students_t_errors=False).exercise(debug=flags.Debug)
        if students_t_available:
            hooft_analysis_test_case(
                space_group_info,
                use_students_t_errors=True).exercise(debug=flags.Debug)

예제 #5

def run():
    random.seed(0)
    flex.set_random_seed(0)
    test_rosenbrock_function(1)
    print "OK"

예제 #6

파일: de.py 프로젝트: MonsieurLilBakingSoda/DE_Differential_Evolution

def run():
  random.seed(0)
  flex.set_random_seed(0)
  test_rosenbrock_function(1)
  print "OK"

예제 #7

      max_noise = noise.norm()
    xyz = flex.random_double(3)*5
    fixed.append( list(xyz) )
    moving1.append(  list(xyz + noise/10) )
    moving2.append(  list(xyz + noise/2) )

  ne = nsd_engine(fixed)
  a = ne.nsd(fixed)
  b = ne.nsd(moving1)
  c = ne.nsd(moving2)
  assert abs(a)<1e-6
  assert(b<=c)

  matrix = euler.zyz_matrix(0.7,1.3,2.1)
  fixed_r = matrix*moving1+(8,18,28)
  fitter = nsd_rigid_body_fitter( fixed,fixed_r)
  nxyz = fitter.best_shifted()
  dd = nxyz[0:fixed.size()]-fixed
  dd = dd.norms()
  dd = flex.max(dd)
  assert (dd<2.00*max_noise/10)


if __name__ == "__main__":
  from stdlib import random
  random.seed(0)
  flex.set_random_seed(0)
  for ii in range(10):
    tst_nsd()
  print "OK"