def dev__run_parametric_sampling():
o = PyposmatIterativeSampler(configuration_filename=config_fn)
o.data_dir = pyposmat_data_dir
o.read_configuration_file()
# ensure that the configuration is actually setup as parametric
assert o.configuration.sampling_type[i_iteration]['type'] == 'parametric'
#this setup happens in run_all()
o.setup_mpi_environment()
o.initialize_data_directory()
o.i_iteration = i_iteration
o.log_iteration_information(i_iteration=o.i_iteration)
#this setup happens in run_simulations()
o.initialize_rank_directory()
# ensure that the paths are absolute paths
assert os.path.isabs(o.rank_directory)
assert os.path.isabs(o.configuration_filename)
config_filename = o.configuration_filename
results_filename = os.path.join(o.rank_directory,
'pyposmat.results.{}.out')
bad_parameters_filename = os.path.join(o.rank_directory,
'pyposmat.bad_parameters.{}.out')
os.chdir(o.rank_directory)
o.determine_rv_seeds()
o.initialize_sampler(config_fn=config_filename,
results_fn=results_filename,
mpi_rank=o.mpi_rank,
mpi_size=o.mpi_size,
o_log=o.o_log)
o.run_parametric_sampling(i_iteration=i_iteration)
import os,shutil,sys
import numpy as np
from mpi4py import MPI
from pypospack.pyposmat.data import PyposmatConfigurationFile
from pypospack.pyposmat.engines import PyposmatIterativeSampler
# set to true, if you want to restart the simulation, and recover from the last iteration
# which was completed.
is_restart = False
if __name__ == "__main__":
pyposmat_data_dir = 'data'
pyposmat_filename_in = os.path.join(
pyposmat_data_dir,'pyposmat.config.in')
#------------------------------------------------------------------------------
# RUN PYPOSMAT
#------------------------------------------------------------------------------
pyposmat_app = PyposmatIterativeSampler(
configuration_filename = pyposmat_filename_in,
is_restart=is_restart
)
pyposmat_app.data_dir = pyposmat_data_dir
pyposmat_app.read_configuration_file()
pyposmat_app.run_all()