def dev__defect_calculation():
print(80*'-')
print('{:^80}'.format('defect_calculation'))
print(80*'-')
simulation_dir = 'rank_test'
testing_set = testing_set_Si_sw.get_testing_set_Si()
configuration = PyposmatConfigurationFile()
configuration.qois = testing_set['qoi_db'].qois
configuration.structures = testing_set['structure_db']
qoi_manager = QoiManager(
qoi_database=configuration.qois,
fullauto=False
)
qoi_manager.configure()
qoi_manager.determine_tasks()
print('qoi_manager.tasks')
print(len('qoi_manager.tasks')*'-')
for k,v in qoi_manager.tasks.items():
print(k,v)
task_manager = TaskManager(base_directory=simulation_dir)
task_manager.configure(
tasks = qoi_manager.tasks,
structures = testing_set['structure_db']
)
task_managger.evaluate_tasks()
qoi_manager.calculate_qois(
task_results=task_manager.results
)
qoi_manager.qois
def _initialize_task_manager(self):
self.task_manager = TaskManager(
base_directory=self.base_directory)
self.task_manager.configure(
tasks=self.qoi_manager.tasks,
structures = self.structures)
def configure_task_manager(self):
# <-------- local variables
_base_directory = self.base_directory
_tasks = self.qoi_manager.tasks
_structures = self.structures
# <-------- configure task manager
self.task_manager = TaskManager(base_directory=_base_directory)
self.task_manager.configure(tasks=_tasks, structures=_structures)
def test__calculate_stacking_fault(potential,qoi_db,structure_db):
simulation_directory = 'rank_test'
configuration = PyposmatConfigurationFile()
configuration.qois = qoi_db.qois
configuration.structures = structure_db
qoi_manager = QoiManager(qoi_database=configuration.qois,fullauto=False)
qoi_manager.configure()
qoi_manager.determine_tasks()
task_manager = TaskManager(base_directory='rank_test')
task_manager.configure(tasks=qoi_manager.tasks,structures=structure_db)
task_manager.evaluate_tasks(parameters=potential,potential=potential)
qoi_manager.calculate_qois(
task_results=task_manager.results)
qoi_manager.qois
qoi_manager = QoiManager(
qoi_database=configuration.qois,
fullauto=False)
qoi_manager.configure()
qoi_manager.determine_tasks()
print(80*'-')
print('{:^80}'.format('TASKS DATABASE'))
print(80*'-')
for k,v in qoi_manager.tasks.items():
tsk_name = k
tsk_type = v['task_type']
tsk_structure = v['task_structure']
print(tsk_name,tsk_type,tsk_structure,tsk_structure)
task_manager = TaskManager(base_directory='rank_test')
task_manager.configure(
tasks=qoi_manager.tasks,
structures=structure_db
)
task_manager.evaluate_tasks(
parameters=potential_definition,
potential=potential_definition)
print(80*'-')
print('{:^80}'.format('TASK RESULTS'))
print(80*'-')
print(str__task_results_to_table(task_manager.results))
print(80*'-')
print('{:^80}'.format('INTERMEDIATE CALCULATIONS'))
class PyposmatEngine2(object):
EAM_EOS_EMBEDDING_FUNCTIONS = ['eam_embed_eos_rose']
"""class for evaluating a simulation
This class combines the two classes QoiManager, which manages classes used
to manage the classes used in modelling and calculating material properties,
and TaskManager, which manages classes used to manage the classes used in
specific simulations.
Args:
filename_in(str): path in
filename_out(str): path out
base_directory(str): This is the base directory from which the
PyposmatEngine will create and run simulations. By default
this is set to None, which means it will use the current
working directory as the base directory.
fullauto(bool):
Attributes:
pyposmat_filename_in(str): path in
pyposmat_filename_out(str) path out
base_directory(str): the base directory
rank_directory(str): This reflect the MPI rank of the processsor
that the PyposmatEngine is running on. If there is no MPI
available, this is automatically set to rank0000.
configuration(pypospack.pyposmat.PyposmatConfigurationFile)
qoi_manager(pypospack.qoi.QoiManager)
task_mamanger(pypospack.task.TaskManager)
"""
def __init__(self,
configuration = 'pypospack.config.in',
data = 'pypospack.results.out',
base_directory = None,
fullauto = False):
self.base_directory = None
self.configuration = None
self.qoi_manager = None
self.task_manager = None
self._structure_directory = None
if fullauto:
self._initialize_configuration(configuration=configuration)
self._initialize_base_directory(base_directory=base_directory)
self._initialize_task_manager()
self._initialize_qoi_manager()
def _initialize_configuration(self,configuration):
if instance(configuration,str):
self.configuration = PyposmatConfigurationFile()
self.configuration.read(filename=configuration)
elif isinstance(configuration,PyposmatConfigurationFile):
self.configuration = configuration
else:
msg = ("configuration must either be a string or an instanced "
"PyposmatConfigurationFile")
raise TypeError(msg)
def _initialize_base_directory(self,base_directory):
if base_directory is None:
self.base_directory = os.getcwd()
elif isinstance(base_directory,str):
self.base_directory = base_directory
else:
msg = "base_directory has to be a string"
raise TypeError(msg)
if not os.path.exists(self.base_directory):
os.mkdir(self.base_directory)
def _initialize_qoi_manager(self,qois=None):
if qois is None:
qois = self.configuration.qois
self.qoi_manager = QoiManager(qoi_database=qois,fullauto=True)
def _initialize_task_manager(self):
self.task_manager = TaskManager(
base_directory=self.base_directory)
self.task_manager.configure(
tasks=self.qoi_manager.tasks,
structures = self.structures)
@property
def structure_directory(self):
if type(self._structure_directory) is type(str):
return self._structure_directory
if type(self.configuration) is not type(None):
return self.configuration.structures['structure_directory']
else:
return None
@property
def structures(self):
"""(collections.OrderedDict)"""
return self.configuration.structures
@property
def potential(self):
"""(collections.OrderedDict)"""
return self.configuration.potential
def configure(self):
"""
When writing a new PypospackEngine this method will likely have
to be modified
"""
self.create_base_directories()
self.read_configuration_file()
self.configure_qoi_manager()
self.configure_task_manager()
def create_base_directories(self,base_directory=None):
assert isinstance(base_directory,str) or base_directory is None
# <-------- determine the base directory.
if base_directory is None:
if self.base_directory is None:
self.base_directory = os.getcwd()
elif isinstance(base_directory,str):
self.base_directory = base_directory
else:
msg_err = "the base directory must be a string"
raise ValueError(msg_err)
# <-------- create the base directory if the base directory does
# not exist
if not os.path.exists(self.base_directory):
os.mkdir(self.base_directory)
# <-------- the rank directory is determined by the MPI rank
# this is not implemented yet
if self.rank_directory is None:
_rank_directory = "rank0"
self.rank_directory = os.path.join(
self.base_directory,
_rank_directory)
def write_eam_setfl_file(self,parameters,potential,setfl_fn):
from pypospack.potential import EamPotential
is_debug = False
assert isinstance(parameters,OrderedDict)
assert isinstance(potential,OrderedDict)
assert isinstance(setfl_fn,str)
if is_debug:
print(parameters)
print(potential)
print(setfl_fn)
p = EamPotential(
symbols=potential['symbols'],
func_pair=potential['pair_type'],
func_density=potential['density_type'],
func_embedding=potential['embedding_type']
)
p.write_setfl_file(
filename=setfl_fn,
symbols=potential['symbols'],
Nr=potential['N_r'],
rmax=potential['r_max'],
rcut=potential['r_cut'],
Nrho=potential['N_rho'],
rhomax=potential['rho_max'],
parameters=parameters
)
def _initialize_potential(potential):
if isinstance(potential,dict):
potential_definition = copy.deepcopy(self.configuration.potential)
elif isinstance(potential,Potential)
def evaluate_parameter_set(self,parameters):
"""
Arguments:
parameters(OrderedDict): hashtable of parameter values with the key value defined
by the configuration file or the PyposmatConfigurationFile object. Only the
free parameter values need to be defined. Constrained parameter values will
be automatically generated
Returns:
OrderedDict: hashtable of results with the key value being defined
by the the either configuration file or the PyposmatConfigurationFile object
Exceptions:
LammpsSimulationError
"""
self._initialize_task_manager()
parameters_ = copy.deepcopy(parameters)
potential_ = copy.deepcopy(self.configuration.potential)
# if the filename is EAM, it is faster to create a single EAM file, and
# then use that file everywhere
if _potential['potential_type'] == 'eam':
setfl_fn = os.path.join(
os.getcwd(),
'{}.eam.alloy'.format("".join(_potential['symbols']))
)
if _potential['embedding_type'] in self.EAM_EOS_EMBEDDING_FUNCTIONS:
self.write_eam_setfl_file(
parameters=_parameters,
potential=_potential,
setfl_fn=setfl_fn
)
assert os.path.isfile(setfl_fn)
_potential['setfl_filename'] = setfl_fn
try:
self.task_manager.evaluate_tasks(
parameters=_parameters,
potential=_potential)
except LammpsSimulationError as e:
str_neighlist_overflow = 'Neighbor list overflow'
raise
except:
print("--- FATAL ERROR ---")
print("self.configuration.potential:")
for k,v in self.configuration.potential.items():
print("\t",k,'=',v)
print("current_parameter_set:")
for k,v in _parameters.items():
print("\t",k,'=',v)
print("--- END ERROR INFO ---")
print(type(self.configuration.potential))
raise
else:
# send the results from the task calculations to calculate QOIs
_task_results = self.task_manager.results
self.qoi_manager.calculate_qois(
task_results=_task_results)
# populate qoi values
_qoi_results = OrderedDict()
for k_qoi,v_qoi in self.qoi_manager.qois.items():
_qoi_val = v_qoi['qoi_val']
_qoi_results[k_qoi] = _qoi_val
# populate errors
_qoi_errors = OrderedDict()
for k_qoi,v_qoi in self.qoi_manager.qois.items():
_qoi_error_name = '{}.{}'.format(k_qoi,'err')
_qoi_error = v_qoi['qoi_err']
_qoi_errors[_qoi_error_name] = _qoi_error
_results = OrderedDict()
_results['parameters'] = copy.deepcopy(_parameters)
_results['qois'] = copy.deepcopy(_qoi_results)
_results['errors'] = copy.deepcopy(_qoi_errors)
return _results
class TestQoi(object):
def __init__(self,qoi_db,structure_db,potential):
self.configuration = None
self.qoi_manager = None
self.task_directory = 'rank_test'
self.task_manager = None
self.setup_configuration_file(qoi_db=qoi_db,structure_db=structure_db)
self.check_structure_db(structure_db)
self.configure_qoi_manager(qoi_database=self.configuration.qois)
self.check_task_database()
self.configure_task_manager(task_directory=self.task_directory,
tasks=self.qoi_manager.tasks,
structures=self.configuration.structures)
self.evaluate_tasks(parameters=potential,
potential=potential)
self.check_task_results(task_results=self.task_manager.results)
self.calculate_qois()
self.check_qoi_results()
def setup_configuration_file(self,qoi_db,structure_db):
print('setup_configuration_file')
self.configuration = PyposmatConfigurationFile()
self.configuration.qois = qoi_db.qois
self.configuration.structures = structure_db
def check_structure_db(self,structure_db):
print('check_structures')
structure_directory = self.configuration.structures['structure_directory']
assert os.path.isdir(structure_directory)
for structure_name,structure_fn in self.configuration.structures['structures'].items():
print(structure_name,structure_fn)
assert os.path.isfile(os.path.join(structure_directory,structure_fn))
def configure_qoi_manager(self,qoi_database):
self.qoi_manager = QoiManager(qoi_database=qoi_database,fullauto=False)
self.qoi_manager.configure()
self.qoi_manager.determine_tasks()
def check_task_database(self):
print('{} {} {}'.format('task_name','task_type','task_structure'))
for k,v in self.qoi_manager.tasks.items():
task_name = k
task_type = v['task_type']
task_structure = v['task_structure']
print('{} {} {}'.format(task_name,task_type,task_structure))
assert k in task_list
assert task_type == task_list[k]['task_type']
assert task_structure == task_list[k]['task_structure']
assert len(self.qoi_manager.tasks) == len(task_list)
def configure_task_manager(self,task_directory,tasks,structures):
self.task_manager = TaskManager(base_directory=task_directory)
self.task_manager.configure(tasks=tasks,
structures=structures)
def evaluate_tasks(self,parameters,potential):
self.task_manager.evaluate_tasks(parameters=parameters,potential=potential)
def check_task_results(self,task_results):
table_col_names = ['name','value']
table_rows = []
for k,v in task_results.items():
table_rows.append([str(k),str(v)])
print('\n'.join([','.join(v) for v in table_rows]))
def calculate_qois(self):
self.qoi_manager.calculate_qois(task_results=self.task_manager.results)
def check_qoi_results(self):
print(self.qoi_manager.qois)
def configure_task_manager(self,task_directory,tasks,structures):
self.task_manager = TaskManager(base_directory=task_directory)
self.task_manager.configure(tasks=tasks,
structures=structures)
('Ni_fcc_esf', 'Ni_fcc_esf.vasp'),
('Ni_fcc_vac', 'Ni_fcc_sc_333_vac.vasp'),
('Ni_fcc_o_int', 'Ni_fcc_sc_333_o_int.vasp'),
('Ni_fcc_i_int', 'Ni_fcc_sc_333_t_int.vasp')]))
])
a0=3.52
r0=1/(2**0.5)*a0
parameters = OrderedDict()
parameters['p_NiNi_phi0'] = 1.0
parameters['p_NiNi_gamma'] = 2.0
parameters['p_NiNi_r0'] = r0
parameters['d_Ni_rho0'] = 1.0
parameters['d_Ni_beta'] = 4.0
parameters['d_Ni_r0'] = r0
parameters['e_Ni_latticetype'] = 'fcc'
parameters['e_Ni_ecoh'] = -4.45
parameters['e_Ni_B']= 188.
parameters['e_Ni_a0'] = a0
task_manager = TaskManager(base_directory=_base_directory)
task_manager.configure(
tasks=_tasks,
structures=_structures)
results = task_manager.evaluate_tasks(
parameters=parameters,
potential=pot_definition)
print(results)