def main(): from MAST.structopt_stem import Optimizer from MAST.structopt_stem import tools #Test for cluster structures parameters = { 'structure': 'Cluster', 'optimizer_type': 'GA', 'atomlist': [('Au', 10, 0, 0), ('Cu', 10, 0, 0)] } A = Optimizer(parameters) A.algorithm_initialize() A.calc = tools.setup_calculator(A) offspring = A.generation_set([]) indiv = offspring[0].duplicate() ind1 = offspring[1].duplicate() ind2 = offspring[2].duplicate() test_mutations(indiv) test_cx(ind1, ind2) A.close_output() #Test for defect structures parameters = { 'structure': 'Defect', 'optimizer_type': 'GA', 'atomlist': [('Au', 3, 0, 0), ('Cu', 3, 0, 0)], 'supercell': (3, 3, 3), 'SolidFile': 'BFe.xyz', 'SolidCell': [8.61, 8.61, 8.61] } A = Optimizer(parameters) A.algorithm_initialize() A.calc = tools.setup_calculator(A) offspring = A.generation_set([]) indiv = offspring[0].duplicate() ind1 = offspring[1].duplicate() ind2 = offspring[2].duplicate() test_mutations(indiv) test_cx(ind1, ind2) A.close_output() #Test for crystal structures parameters = { 'structure': 'Crystal', 'optimizer_type': 'GA', 'atomlist': [('Au', 10, 0, 0), ('Cu', 10, 0, 0)] } A = Optimizer(parameters) A.algorithm_initialize() A.calc = tools.setup_calculator(A) offspring = A.generation_set([]) indiv = offspring[0].duplicate() ind1 = offspring[1].duplicate() ind2 = offspring[2].duplicate() test_mutations(indiv) test_cx(ind1, ind2) A.close_output()
True, 'LammpsMin': '1e-8 1e-8 5000 10000', 'Lmin_style': 'cg\nmin_modify line quadratic', 'genealogy': True, 'allenergyfile': True, 'BestIndsList': True } if rank == 0: print 'Running Serial...' parameters['filename'] = 'Test-Serial' A = Optimizer(parameters) A.run() done = True else: done = False done = MPI.COMM_WORLD.bcast(done, root=0) print done if rank == 0: print 'Running parallel...' parameters['filename'] = 'Test-Parallel' parameters['parallel'] = True A = Optimizer(parameters) else: A = None A = MPI.COMM_WORLD.bcast(A, root=0)
'Aperture semiangle': 24.5, 'Source size': 0.882, 'Slice size': 20.0, 'Pixels': 800, 'aber': aber, 'Scale Factor': 0.00570113 } A = ConvStem(parameters=autostemparameters, calc_exp=False) #fig = plt.figure() #ax = fig.add_subplot(111) #psf = numpy.fft.fftshift(A.psf) #ax.imshow(psf,cmap=cm.hot) #plt.show() imAu1 = A.get_image(A.psf, Au1, autostemparameters['Slice size'], autostemparameters['Pixels'], 1) #fig2 = plt.figure() #ax2 = fig2.add_subplot(111) #ax2.imshow(imAu1,cmap=cm.hot) #plt.show() autostemparameters['Exp_Image'] = imAu1 optparameters = { 'structure': 'Cluster', 'optimizer_type': 'BH', 'size': 10, 'atomlist': [('Au', 10, 0, 0), ('Cu', 10, 0, 0)], 'FIT_SCHEME': 'STEM_Cost', 'STEM_Parameters': autostemparameters } B = Optimizer(optparameters) B.algorithm_serial()
from MAST.structopt_stem import Optimizer from mpi4py import MPI rank = MPI.COMM_WORLD.Get_rank() if rank==0: print 'Running Serial...' A = Optimizer('input-clus.txt') A.run() done = True else: done = False done = MPI.COMM_WORLD.bcast(done,root=0) print done print 'Running parallel...' A = Optimizer('input-clus-p.txt') A.run() print 'Running Island_Method' A = Optimizer('input-clus-im.txt') A.run()