def _add_output(self, name):
"""Adds the specified output variable and its associated surrogate Slot."""
if "." not in name: # non vartree variable
self.surrogates[name] = None
if self.default_surrogate is not None:
surrogate = deepcopy(self.default_surrogate)
self._default_surrogate_copies[name] = surrogate
self._add_var_for_surrogate(surrogate, name)
else:
self.add_trait(name, self._clone_trait(name))
else:
self.surrogates[name] = None
vartreename = name.split(".")[0]
subvarname = name.split(".")[1]
if not hasattr(self, vartreename):
self.add_trait(vartreename,
_clone_trait(self.model.trait(vartreename)))
setattr(self, vartreename, copy(getattr(self.model, vartreename)))
if self.default_surrogate is not None:
surrogate = deepcopy(self.default_surrogate)
self._default_surrogate_copies[name] = surrogate
self._add_var_for_surrogate(surrogate, name)
else:
metamodel_vartree_node = self.get(vartreename)
model_vartree_node = self.model.get(vartreename)
metamodel_vartree_node.add_trait(subvarname,
_clone_trait(model_vartree_node.trait(subvarname)))
self._training_data[name] = []
def _add_output(self, name):
"""Adds the specified output variable and its associated surrogate Slot."""
if "." not in name: # non vartree variable
self.surrogates[name] = None
if self.default_surrogate is not None:
surrogate = deepcopy(self.default_surrogate)
self._default_surrogate_copies[name] = surrogate
self._add_var_for_surrogate(surrogate, name)
else:
self.add_trait(name, self._clone_trait(name))
else:
self.surrogates[name] = None
vartreename = name.split(".")[0]
subvarname = name.split(".")[1]
if not hasattr(self, vartreename):
self.add_trait(vartreename,
_clone_trait(self.model.trait(vartreename)))
setattr(self, vartreename, copy(getattr(self.model, vartreename)))
if self.default_surrogate is not None:
surrogate = deepcopy(self.default_surrogate)
self._default_surrogate_copies[name] = surrogate
self._add_var_for_surrogate(surrogate, name)
else:
metamodel_vartree_node = self.get(vartreename)
model_vartree_node = self.model.get(vartreename)
metamodel_vartree_node.add_trait(subvarname,
_clone_trait(model_vartree_node.trait(subvarname)))
self._training_data[name] = []
def _add_input(self, name):
"""Adds the specified input variable."""
if "." not in name: # non vartree variable
self.add_trait(name, self._clone_trait(name))
setattr(self, name, getattr(self.model, name))
else:
vartreename, subvarname = name.split(".")
if not hasattr(self, vartreename):
self.add_trait(vartreename, _clone_trait(self.model.trait(vartreename)))
setattr(self, vartreename, copy(getattr(self.model, vartreename)))
metamodel_vartree_node = self.get(vartreename)
model_vartree_node = self.model.get(vartreename)
metamodel_vartree_node.add_trait(subvarname, _clone_trait(model_vartree_node.trait(subvarname)))
metamodel_vartree_node.set(subvarname, model_vartree_node.get(subvarname))
def _add_input(self, name):
"""Adds the specified input variable."""
if "." not in name: # non vartree variable
self.add_trait(name, self._clone_trait(name))
setattr(self, name, getattr(self.model, name))
else:
vartreename, subvarname = name.split(".")
if not hasattr(self, vartreename):
self.add_trait(vartreename,
_clone_trait(self.model.trait(vartreename)))
setattr(self, vartreename, copy(getattr(self.model, vartreename)))
metamodel_vartree_node = self.get(vartreename)
model_vartree_node = self.model.get(vartreename)
metamodel_vartree_node.add_trait(subvarname,
_clone_trait(model_vartree_node.trait(subvarname)))
metamodel_vartree_node.set(subvarname, model_vartree_node.get(subvarname))
def _clone_trait(self, name):
""" Return valid new trait for model trait `name`. """
trait = self.model.trait(name)
if hasattr(trait, "get"): # Property trait -- don't use normal clone.
val = getattr(self.model, name)
metadata = {}
for attr in ("iotype", "desc", "low", "high", "exclude_low", "exclude_high", "units"):
try:
metadata[attr] = getattr(trait, attr)
except AttributeError:
pass
if metadata["iotype"] == "in":
metadata["default_value"] = val
if isinstance(val, float):
trait = Float(**metadata)
else:
trait = Int(**metadata)
else:
trait = _clone_trait(trait)
return trait
def _clone_trait(self, name):
""" Return valid new trait for model trait `name`. """
trait = self.model.trait(name)
if hasattr(trait, 'get'): # Property trait -- don't use normal clone.
val = getattr(self.model, name)
metadata = {}
for attr in ('iotype', 'desc', 'low', 'high',
'exclude_low', 'exclude_high', 'units'):
try:
metadata[attr] = getattr(trait, attr)
except AttributeError:
pass
if metadata['iotype'] == 'in':
metadata['default_value'] = val
if isinstance(val, float):
trait = Float(**metadata)
else:
trait = Int(**metadata)
else:
trait = _clone_trait(trait)
return trait
def _clone_trait(self, name):
""" Return valid new trait for model trait `name`. """
trait = self.model.trait(name)
if hasattr(trait, 'get'): # Property trait -- don't use normal clone.
val = getattr(self.model, name)
metadata = {}
for attr in ('iotype', 'desc', 'low', 'high',
'exclude_low', 'exclude_high', 'units'):
try:
metadata[attr] = getattr(trait, attr)
except AttributeError:
pass
if metadata['iotype'] == 'in':
metadata['default_value'] = val
if isinstance(val, float):
trait = Float(**metadata)
else:
trait = Int(**metadata)
else:
trait = _clone_trait(trait)
return trait
