def _get_io_info(self):
"""Returns a tuple of (inputs, outputs) where inputs and outputs are
lists of tuples of the form (name, meta) for each parameter.
"""
params = []
if self.parametric_geometry:
paraminfos = self.parametric_geometry.list_parameters()
cnames = self._class_names
inter = []
for p in paraminfos:
if p[0] in cnames:
inter.append(p[0])
elif self._eligible(p[0]):
params.append(p)
if inter:
logger.warning("the following variables already exist in "
"GeomComponent and will be ignored: %s" % inter)
ins = []
outs = []
for p in params:
try:
io = p[1]['iotype']
except KeyError:
raise RuntimeError("parameter %s has no iotype metadata" % p[0])
if io == 'in':
ins.append(p)
elif io == 'out':
outs.append(p)
else:
raise RuntimeError("parameter %s does not have valid iotype metadata (iotype='%s'), must be 'in' or 'out'"
% (p[0], p[1]['iotype']))
return (ins, outs)
def _get_trait_from_meta(name, meta):
"""Create a Variable object based on the contents
of meta, which contains a 'value', plus possibly
other information, e.g., 'type'.
"""
if name == 'geom_out':
typ = IStaticGeometry
return Geom(IStaticGeometry, **meta)
else:
meta = meta.copy()
val = meta['value']
try:
# if 'type' is provided in the metadata, use that
if 'type' in meta:
typ = _ttdict[meta['type']]
else: # otherwise just infer the Variable type from the value type
typ = _ttdict[type(val)]
except KeyError:
if isinstance(val, list):
typ = List
elif isinstance(val, dict):
typ = Dict
else:
logger.warning("no Variable type found for key of type %s (value=%s), using Python Variable type, which performs no validation" % (type(val),val))
typ = Python # FIXME
try:
del meta['value'] # don't include value in trait metadata
except KeyError:
pass #wasn't in there to delete it
return typ(val, **meta)
def _get_trait_from_meta(name, meta):
"""Create a Variable object based on the contents
of meta, which contains a 'value', plus possibly
other information, e.g., 'type'.
"""
meta = meta.copy()
val = meta['value']
try:
# if 'type' is provided in the metadata, use that
if 'type' in meta:
typ = _ttdict[meta['type']]
else: # otherwise just infer the Variable type from the value type
typ = _ttdict[type(val)]
except KeyError:
if isinstance(val, list):
typ = List
elif isinstance(val, dict):
typ = Dict
else:
logger.warning(
"no Variable type found for key of type %s (value=%s), using Python Variable type, which performs no validation"
% (type(val), val))
typ = Python # FIXME
del meta['value'] # don't include value in trait metadata
return typ(val, **meta)
def __init__(self, *args, **kwargs):
""" Deprecated."""
logger.warning('ComponentwithDerivatives is deprecated. You can ' +
'use Component instead.')
super(ComponentWithDerivatives, self).__init__(*args, **kwargs)
def _get_io_info(self):
"""Returns a tuple of (inputs, outputs) where inputs and outputs are
lists of tuples of the form (name, meta) for each parameter.
"""
params = []
if self.parametric_geometry:
paraminfos = self.parametric_geometry.list_parameters()
cnames = self._class_names
inter = []
for p in paraminfos:
if p[0] in cnames:
inter.append(p[0])
elif self._eligible(p[0]):
params.append(p)
if inter:
logger.warning("the following variables already exist in "
"GeomComponent and will be ignored: %s" % inter)
ins = []
outs = []
for p in params:
try:
io = p[1]['iotype']
except KeyError:
raise RuntimeError("parameter %s has no iotype metadata" %
p[0])
if io == 'in':
ins.append(p)
elif io == 'out':
outs.append(p)
else:
raise RuntimeError(
"parameter %s does not have valid iotype metadata (iotype='%s'), must be 'in' or 'out'"
% (p[0], p[1]['iotype']))
return (ins, outs)
def __init__(self, *args, **kwargs):
""" Deprecated."""
logger.warning('DriverUsesDerivatives is deprecated. You can '
'use Driver instead.')
super(DriverUsesDerivatives, self).__init__(*args, **kwargs)
def __init__(self, *args, **kwargs):
""" Deprecated."""
logger.warning('ComponentwithDerivatives is deprecated. You can ' +
'use Component instead.')
super(ComponentWithDerivatives, self).__init__(*args, **kwargs)
def execfile(self, fname, digest=None):
# first, make sure file has been imported
__import__(get_module_path(fname))
newdigest = file_md5(fname)
if digest and digest != newdigest:
logger.warning("file '%s' has been modified since the last time"
" it was exec'd" % fname)
with open(fname) as f:
contents = f.read()
node = add_init_monitors(parse(contents, fname, mode='exec'))
exec compile(node, fname, 'exec') in self._model_globals
# make the recorded execfile command use the current md5 hash
self._cmds_to_save.append("execfile('%s', '%s')" % (fname, newdigest))
def _update_io_names(self):
if self.parametric_geometry:
params = self.parametric_geometry.listParameters()
inter = self._class_names.intersection([p[0] for p in params])
if inter:
logger.warning("the following variables already exist in "
"GeomComponent and will be ignored: %s" %
list(inter))
params = [p for p in params if self._eligible(p[0]) and
p[0] not in self._class_names]
self._input_var_names = set([p[0] for p in params
if p[1]['iotype']=='in'])
self._output_var_names = set([p[0] for p in params
if p[1]['iotype']=='out'])
else:
self._input_var_names = set()
self._output_var_names = set()
